From bf49edd6c6482ebd72dfb052ae71106955d625c5 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 20:59:34 +0200
Subject: [PATCH 01/32] Record reproducible indexing benchmark measurements and
 render publication from results

---
 .gitignore                                    |   2 +
 benchmarks/realtime-data-indexing/README.md   |  55 ++--
 .../realtime-data-indexing/plot_results.py    | 239 ++++++++++++++++++
 .../realtime-data-indexing/rerun_all.py       |  74 ++++++
 .../realtime-data-indexing/run_bench.py       |  79 +++++-
 5 files changed, 420 insertions(+), 29 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/plot_results.py
 create mode 100644 benchmarks/realtime-data-indexing/rerun_all.py

diff --git a/.gitignore b/.gitignore
index e68c6be..a41acf1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -220,6 +220,8 @@ __marimo__/
 # benchmark datasets and results (large, generated)
 benchmarks/*/datasets/
 benchmarks/*/results/
+!benchmarks/realtime-data-indexing/results/
+benchmarks/realtime-data-indexing/results/.rerun.lock
 benchmarks/*/compat/*.so
 
 # Runtime working directory of `serviette demo` (regenerable: corpus copy,
diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index 70f212a..ea1c5d1 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -4,10 +4,9 @@ Measures the two claims that matter for the serviette indexer:
 
 1. **Indexing speed** — wall-clock time to index a document collection end to
    end (parse → chunk → embed → write to the vector DB).
-2. **Flat memory** — the indexer's memory consumption does **not** grow with
-   the size of the input collection (`only_metadata` sources keep paths, not
-   bytes, in the pipeline). The output is a memory-over-time plot and the
-   physical peak memory (PSS: shared pages counted once, not per process).
+2. **Memory scaling** — document bytes flow through the pipeline, while
+   file-watch metadata grows with the number of files. The output is a
+   memory-over-time plot and sampled peak PSS (shared pages counted once).
 
 Everything runs locally and costs nothing: embeddings are computed by a local
 sentence-transformers model (`static-retrieval-mrl-en-v1`,
@@ -21,16 +20,18 @@ Three containers via docker-compose:
   incrementally on upsert (fast indexing), it is designed for concurrent
   search-while-writing, and the Pathway sink keys points internally (no user
   primary key), so writes parallelize across Pathway workers.
-- **indexer** — `serviette indexer` over the dataset (static mode: the run ends
-  when the collection is fully indexed, so wall-clock = indexing time).
+- **indexer** — `serviette indexer` in streaming mode. Completion uses the
+  existing chunk-count and CPU-idleness checks in `run_bench.py`; indexing
+  time is the time of the last observed chunk-count increase.
 - **server** — `serviette server`; used after indexing to replay the accuracy
   questions through `/api/v1/retrieve`.
 
-Memory is sampled from `/proc/1/status` inside the indexer container every
-few seconds: `VmRSS` and `Pss` for the time series (PSS divides pages shared
-between workers — e.g. the PyTorch libraries — proportionally, so its sum is
-the honest physical footprint), `VmHWM` (kernel-tracked high-water
-mark) for the exact peak — no sampling artifacts.
+Memory is sampled every three seconds across the indexer container's
+processes: RSS from `/proc/<pid>/status`, PSS and private-page counts from
+`/proc/<pid>/smaps_rollup`. Peak PSS is the maximum sampled sum. Shared pages
+are counted once through PSS. Summed `VmHWM` is retained in CSV as an upper
+bound on RSS, since different processes can peak at different times.
+Per-process samples include the Pathway worker rank, excluding the sampler.
 
 ## Dataset
 
@@ -48,13 +49,35 @@ themselves never touch the network.
 
 ```bash
 python prepare_dataset.py --size-mb 100     # also: 1000, 3000, 10000
-python run_bench.py --size 100mb
+BENCH_JEMALLOC_CONF=background_thread:true python run_bench.py --size 100mb
 ```
 
 Outputs land in `results/`: `<size>-memory.png` (memory over time),
 `<size>-memory.csv`, `<size>-summary.json` (duration, MB/min, chunk count,
-peak RSS/PSS, retrieval accuracy).
+peak RSS/PSS, retrieval accuracy). Each run also saves per-process samples,
+the process snapshot at peak PSS, a redacted resolved compose configuration,
+and compressed indexer logs.
 
-To make the flat-memory point, run the same benchmark at increasing sizes
-(100mb → 1gb → 3gb → 10gb) and compare `peak_rss_mb` across summaries: the
-corpus grows 100×, the peak stays in the same band.
+To regenerate the entire publication from a single series of runs:
+
+```bash
+export BENCH_DATA_ROOT=/path/on/a/large/disk/serviette-bench-datasets
+export BENCH_JEMALLOC_CONF=background_thread:true
+export BENCH_OMP_THREADS=12
+export COMPOSE_PROJECT_NAME=serviette-consistency-bench
+# PATHWAY_LICENSE_KEY must already be set. Build once for the full series.
+docker compose build
+python rerun_all.py
+```
+
+This runs 100mb → 1gb → 3gb → 10gb → 30gb → 50gb sequentially and then
+calls `plot_results.py --update-readme`. Run it under nohup or tmux for the
+multi-hour sizes. Datasets remain on the chosen disk after completion;
+remove only this run's datasets when they are no longer needed.
+
+`plot_results.py` reads all six CSVs and summaries, validates their agreement,
+and generates both README images and the table. It also saves `derived.json`
+with the fitted file-watch estimate and peak-memory ratio. The pie uses
+measured private/shared pages; file-watch attribution is explicitly labeled
+as an estimate from rank-0 excess, not a separate allocation measurement.
+See `results/README.md` for the recorded setup and attribution formula.
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
new file mode 100644
index 0000000..6f499b2
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -0,0 +1,239 @@
+#!/usr/bin/env python3
+"""Render the published table and figures exclusively from saved measurements."""
+from __future__ import annotations
+
+import argparse
+import csv
+import gzip
+import json
+from pathlib import Path
+import statistics
+
+import matplotlib
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt
+import numpy as np
+
+ROOT = Path(__file__).resolve().parent
+REPO = ROOT.parent.parent
+SIZES = [("100mb", "100 MB"), ("1gb", "1 GB"), ("3gb", "3 GB"),
+         ("10gb", "10 GB"), ("30gb", "30 GB"), ("50gb", "50 GB")]
+
+
+def private_mb(process):
+    return (process.get("Private_Clean", 0) + process.get("Private_Dirty", 0)) / 1024
+
+
+def components(processes):
+    """Measured private/shared pages; rank-0 excess is an attribution estimate.
+
+    Rank 0 owns the filesystem connector. Its excess over the median private
+    footprint of the other workers is a proxy, not an allocation profiler.
+    Do not label the entire worker baseline as 'PyTorch': it also includes
+    the engine and working buffers, which smaps cannot distinguish.
+    """
+    workers = [p for p in processes if p["worker_rank"] is not None]
+    rank0 = [p for p in workers if p["worker_rank"] == 0]
+    others = [p for p in workers if p["worker_rank"] != 0]
+    if len(workers) != 8 or len(rank0) != 1 or len(others) != 7:
+        raise ValueError("Expected exactly eight Pathway workers including rank 0")
+    extra = max(0, private_mb(rank0[0]) - statistics.median(private_mb(p) for p in others))
+    worker_private = sum(private_mb(p) for p in workers)
+    supervisor_private = sum(private_mb(p) for p in processes if p["worker_rank"] is None)
+    total = sum(p.get("Pss", 0) for p in processes) / 1024
+    shared = total - worker_private - supervisor_private
+    if shared < -0.01:
+        raise ValueError("Private pages exceed total PSS")
+    return {"workers_private_mb": worker_private - extra,
+            "connector_extra_mb_estimate": extra,
+            "supervisors_private_mb": supervisor_private,
+            "shared_pss_mb": max(0, shared)}
+
+
+def duration(seconds):
+    if seconds < 60:
+        return f"{seconds:.0f} s"
+    if seconds < 3600:
+        return f"{seconds / 60:.1f} min"
+    return f"{seconds / 3600:.1f} h"
+
+
+def load(results):
+    runs = []
+    for size, label in SIZES:
+        summary = json.loads((results / f"{size}-summary.json").read_text())
+        with (results / f"{size}-memory.csv").open() as fh:
+            samples = [{k: float(v) for k, v in row.items()} for row in csv.DictReader(fh)]
+        peak = max(s["pss_mb"] for s in samples)
+        if abs(peak - summary["peak_pss_mb"]) > 0.11:
+            raise ValueError(f"{size}: CSV peak does not match summary")
+        if int(samples[-1]["chunks"]) != summary["chunks"]:
+            raise ValueError(f"{size}: final CSV chunk count does not match summary")
+        if summary["jemalloc_conf"] != "background_thread:true" or summary["omp_threads"] != 12:
+            raise ValueError(f"{size}: different measured configuration")
+        with gzip.open(results / f"{size}-processes.jsonl.gz", "rt") as fh:
+            last = None
+            for line in fh:
+                last = json.loads(line)
+        if abs(last["elapsed_s"] - samples[-1]["elapsed_s"]) > 0.11:
+            raise ValueError(f"{size}: process and aggregate series differ")
+        if abs(sum(p.get("Pss", 0) for p in summary["peak_processes"]) / 1024 - peak) > 0.11:
+            raise ValueError(f"{size}: peak process snapshot does not match total PSS")
+        runs.append({"size": size, "label": label, "summary": summary,
+                     "samples": samples, "final_components": components(last["processes"]),
+                     "peak_components": components(summary["peak_processes"])})
+    return runs
+
+
+def table(runs):
+    lines = ["| corpus | ≈ pages | files | chunks | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |",
+             "|---|---|---|---|---|---|---|"]
+    for run in runs:
+        s = run["summary"]
+        ints = [f"{s[k]:,}".replace(",", " ") for k in ("approx_text_pages", "documents", "chunks")]
+        lines.append(f"| {run['label']} | {' | '.join(ints)} | {duration(s['indexing_seconds'])} | {s['peak_pss_mb'] / 1024:.1f} | {s['vector_db_disk_mb'] / 1024:.1f} |")
+    return "\n".join(lines)
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--results", type=Path, default=ROOT / "results")
+    parser.add_argument("--assets", type=Path, default=REPO / "docs/assets")
+    parser.add_argument("--update-readme", action="store_true")
+    args = parser.parse_args()
+    runs = load(args.results)  # Fail before touching published files if any run is missing.
+    environment = json.loads((args.results / "run-environment.json").read_text())
+    files = np.array([r["summary"]["documents"] for r in runs], dtype=float)
+    extra = np.array([r["final_components"]["connector_extra_mb_estimate"] for r in runs])
+    slope = float(np.dot(files, extra * 1024**2) / np.dot(files, files))
+    ratio = runs[-1]["summary"]["peak_pss_mb"] / runs[0]["summary"]["peak_pss_mb"]
+    derived = {"connector_bytes_per_file_estimate": slope, "peak_memory_ratio": ratio,
+               "runs": [{"size": r["size"], "peak_components": r["peak_components"],
+                         "final_components": r["final_components"]} for r in runs]}
+    (args.results / "derived.json").write_text(json.dumps(derived, indent=2) + "\n")
+    args.assets.mkdir(parents=True, exist_ok=True)
+    fig, (ax, right) = plt.subplots(1, 2, figsize=(15, 4.8))
+    for run in runs:
+        s = run["summary"]
+        ax.plot([row["elapsed_s"] / 3600 for row in run["samples"]],
+                [row["pss_mb"] / 1024 for row in run["samples"]],
+                label=f"{run['label']} (peak {s['peak_pss_mb'] / 1024:.1f} GiB)")
+    ax.set(title="Indexer PSS over time", xlabel="hours", ylabel="PSS, GiB", ylim=(0, None))
+    ax.legend(fontsize=9)
+    right.scatter(files / 1000, extra, color="#5145ef", label="rank-0 private-memory excess (estimate)")
+    x = np.linspace(0, files.max() * 1.05, 100)
+    right.plot(x / 1000, slope * x / 1024**2, "--", color="#10a34a", label=f"fit: ~{slope:.0f} bytes × files")
+    for run, xx, yy in zip(runs, files / 1000, extra):
+        right.annotate(run["label"], (xx, yy), xytext=(5, 0), textcoords="offset points", fontsize=9)
+    right.set(title="File-watch memory proxy", xlabel="watched files, thousands", ylabel="extra private memory, MiB")
+    right.legend(fontsize=8)
+    for axes in (ax, right):
+        axes.grid(alpha=0.25)
+    fig.tight_layout()
+    fig.savefig(args.assets / "bench-memory.png", dpi=130)
+    plt.close(fig)
+
+    ten = next(r for r in runs if r["size"] == "10gb")
+    c = ten["peak_components"]
+    values = list(c.values())
+    labels = ["Worker private pages\n(embeddings + engine + buffers)",
+              "Rank-0 excess\n(file-watch estimate)", "Supervisor private pages", "Shared pages (PSS)"]
+    labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
+    fig, ax = plt.subplots(figsize=(11, 6))
+    ax.pie(values, labels=labels, autopct="%1.0f%%", colors=["#5145ef", "#10a34a", "#cbd5e1", "#a5b4fc"],
+           wedgeprops={"edgecolor": "white"})
+    ax.set_title(f"10 GB corpus: breakdown at measured peak ({ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS)")
+    fig.tight_layout()
+    fig.savefig(args.assets / "bench-memory-breakdown.png", dpi=130)
+    plt.close(fig)
+
+    published_table = table(runs)
+    (args.results / "table.md").write_text(published_table + "\n")
+    notes = f"""# Indexing benchmark results
+
+Measured from {environment['started_utc']}, on {environment['logical_cpus']} logical CPUs.
+Exact CPU description, RAM, kernel, image ID and installed package versions:
+`run-environment.json`. Resolved compose configurations redact the license key.
+Indexing settings and completion criteria are unchanged from `run_bench.py`.
+
+{published_table}
+
+Input labels retain the published nominal sizes: 1 GB means a target of
+1,000 MiB of text; 100 MB means 100 MiB. Memory and disk columns use GiB;
+CSV columns ending in `_mb` contain MiB. Pages use 2,000 bytes per page.
+Peaks are the maximum sampled total PSS, not kernel high-water marks.
+Sampling continues through the existing completion window.
+
+`*-memory.csv` and `*-processes.jsonl.gz` record aggregate and per-process
+measurements at the same times; `*-summary.json` includes the process snapshot
+at peak PSS. `*-indexer.txt.gz` contains the container log.
+
+The right panel estimates file-watch memory as rank 0's private-page excess
+over the median of the seven other workers at the final sample. It includes
+any other unequal worker allocations; it is not an allocation-level measurement.
+The line is a least-squares fit through zero (~{slope:.0f} bytes per file).
+The pie splits peak PSS into worker private pages, estimated rank-0 excess,
+supervisor private pages and shared PSS. Worker pages include the engine,
+embedding runtime and buffers; `/proc` cannot attribute them separately.
+Derived values are saved in `derived.json`.
+
+Regenerate with `python plot_results.py --update-readme`.
+The script checks CSV peaks, chunk counts and process snapshots against summaries
+and requires all six sizes before updating the publication.
+"""
+    (args.results / "README.md").write_text(notes)
+    if args.update_readme:
+        readme = REPO / "README.md"
+        text = readme.read_text()
+        start = text.index("| corpus |", text.index("### Indexing resources"))
+        end = text.index("### Retrieval accuracy", start)
+        versions = environment["versions"]
+        replacement = f"""{published_table}
+
+The table and both figures come from the same six runs. Raw summaries,
+memory samples, per-process snapshots and resolved configurations are in
+[results](benchmarks/realtime-data-indexing/results/README.md).
+Memory and disk sizes use GiB; input labels are nominal targets
+(1 GB = 1,000 MiB of extracted text). A page is approximately 2,000 bytes.
+
+Documents flow through the pipeline rather than accumulating in it.
+The file-watch index retains metadata per watched file to detect edits and
+deletions, so its cost depends on file count. The right panel estimates this
+cost from the connector worker's extra private memory: the fitted slope is
+**~{slope:.0f} bytes per file**. This proxy also includes unequal worker
+buffers; it does not isolate individual allocations.
+
+The embedding runtime, engine and working buffers account for the worker
+baseline. The curves show how total memory evolves during indexing,
+including any steps as file-watch metadata and buffers grow.
+Parsed-text cache, persistence snapshots and stored embeddings live on disk.
+Across these runs a **500× larger input target costs {ratio:.1f}× the peak PSS**.
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory.png" alt="Measured indexer PSS over time for all six corpora; legends use the same peaks as the table. Right: estimated file-watch memory versus file count, fitted at approximately {slope:.0f} bytes per file." width="100%">
+</p>
+<p align="center"><em>All curves and table values come from the same runs with allocator background purging enabled. File-watch memory is estimated from rank-0 private-memory excess over the median of the other workers.</em></p>
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS peak: worker private pages, estimated file-watch excess, supervisor private pages and shared PSS." width="85%">
+</p>
+<p align="center"><em>Process measurements at the actual 10 GB peak. Worker private pages include embeddings, engine and buffers; the file-watch share is an estimate. Shared pages are counted once through PSS.</em></p>
+
+Setup: {environment['logical_cpus']}-logical-CPU host (see the saved CPU model),
+streaming mode, 8 worker processes with 12 OpenMP threads each,
+local `static-retrieval-mrl-en-v1` embeddings, Matryoshka-truncated to 256 dims,
+512-token chunks, Qdrant, and jemalloc `background_thread:true`.
+No embedding API calls. Installed versions: serviette {versions['serviette']},
+Pathway {versions['pathway']}, PyTorch {versions['torch']},
+sentence-transformers {versions['sentence-transformers']}.
+Peak memory is the maximum sampled PSS summed over the indexer container.
+Indexing time uses the existing streaming completion criterion; see the
+benchmark scripts and saved results for the full setup.
+
+"""
+        readme.write_text(text[:start] + replacement + text[end:])
+    print(published_table)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmarks/realtime-data-indexing/rerun_all.py b/benchmarks/realtime-data-indexing/rerun_all.py
new file mode 100644
index 0000000..fdac878
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/rerun_all.py
@@ -0,0 +1,74 @@
+#!/usr/bin/env python3
+"""Run the six published sizes sequentially, then render one consistent report."""
+from __future__ import annotations
+
+import datetime
+import fcntl
+import gzip
+import json
+import os
+from pathlib import Path
+import platform
+import subprocess
+import sys
+
+ROOT = Path(__file__).resolve().parent
+SIZES = [("100mb", 100), ("1gb", 1000), ("3gb", 3000),
+         ("10gb", 10000), ("30gb", 30000), ("50gb", 50000)]
+
+
+def main():
+    if not os.environ.get("PATHWAY_LICENSE_KEY"):
+        raise SystemExit("PATHWAY_LICENSE_KEY must be set")
+    if os.environ.get("BENCH_JEMALLOC_CONF") != "background_thread:true":
+        raise SystemExit("Set BENCH_JEMALLOC_CONF=background_thread:true")
+    results = ROOT / "results"
+    results.mkdir(exist_ok=True)
+    lock = (results / ".rerun.lock").open("w")
+    fcntl.flock(lock, fcntl.LOCK_EX | fcntl.LOCK_NB)
+    data_root = Path(os.environ["BENCH_DATA_ROOT"])
+    data_root.mkdir(parents=True, exist_ok=True)
+
+    def output(cmd):
+        return subprocess.check_output(cmd, text=True).strip()
+
+    versions = output(["docker", "run", "--rm", "--entrypoint", "python",
+                       "serviette-bench", "-c",
+                       "import importlib.metadata as m,json; print(json.dumps({k:m.version(k) for k in ['serviette','pathway','torch','sentence-transformers','qdrant-client']}))"])
+    metadata = {
+        "started_utc": datetime.datetime.now(datetime.timezone.utc).isoformat(),
+        "git_commit": output(["git", "rev-parse", "HEAD"]),
+        "cpu": output(["lscpu"]), "logical_cpus": os.cpu_count(),
+        "memory": Path("/proc/meminfo").read_text(), "kernel": platform.release(),
+        "docker": output(["docker", "--version"]),
+        "versions": json.loads(versions),
+        "image": output(["docker", "image", "inspect", "serviette-bench", "--format", "{{.Id}}"]),
+        "environment": {key: os.environ.get(key) for key in
+                        ["BENCH_DATA_ROOT", "BENCH_JEMALLOC_CONF", "BENCH_OMP_THREADS", "COMPOSE_PROJECT_NAME"]},
+    }
+    (results / "run-environment.json").write_text(json.dumps(metadata, indent=2) + "\n")
+    for size, mb in SIZES:
+        print(f"Preparing {size}", flush=True)
+        dataset = data_root / size
+        if not (size == "100mb" and (dataset / "questions.json").exists()):
+            subprocess.run([sys.executable, str(ROOT / "prepare_dataset.py"),
+                            "--size-mb", str(mb), "--out", str(dataset)], check=True)
+        print(f"Indexing {size}", flush=True)
+        try:
+            subprocess.run([sys.executable, str(ROOT / "run_bench.py"), "--size", size], check=True)
+        except BaseException:
+            logs = subprocess.run(["docker", "compose", "logs", "--no-color"],
+                                  cwd=ROOT, capture_output=True, text=True)
+            with gzip.open(results / f"{size}-failure.txt.gz", "wt") as fh:
+                fh.write(logs.stdout + logs.stderr)
+            raise
+        summary = json.loads((results / f"{size}-summary.json").read_text())
+        if summary["chunks"] < summary["documents"]:
+            raise RuntimeError(f"Incomplete indexing: {size}")
+        print(f"Finished {size}: {summary['chunks']} chunks, {summary['peak_pss_mb']} MiB PSS", flush=True)
+    subprocess.run([sys.executable, str(ROOT / "plot_results.py"), "--update-readme"], check=True)
+    print("All six sizes measured; README and figures regenerated.", flush=True)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
index e56478d..f840443 100644
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -1,10 +1,9 @@
 #!/usr/bin/env python3
 """Run the real-time indexing benchmark and produce the memory report.
 
-Flow: start Qdrant → start the serviette indexer (static run over the dataset)
-and the serviette server → sample the indexer's memory (VmRSS + kernel-tracked
-peak VmHWM from /proc/1/status inside the container) every few seconds until
-it finishes → replay the accuracy questions through the server's /api/v1
+Flow: start Qdrant → start the streaming serviette indexer
+and server → sample total RSS/PSS and per-process memory every few seconds
+until indexing is complete → replay accuracy questions through /api/v1
 retrieve endpoint → write a memory-over-time plot, a CSV, and a JSON summary
 into ./results.
 
@@ -15,6 +14,7 @@
 from __future__ import annotations
 
 import argparse
+import gzip
 import json
 import subprocess
 import time
@@ -23,6 +23,30 @@
 import httpx
 
 ROOT = Path(__file__).parent
+
+# Observe the same processes as the aggregate sampler, with worker ranks so
+# chart components can be traced to measurements. Never record full environs
+# or command lines: they may contain credentials.
+PROC_SAMPLE = r'''
+import json, os
+from pathlib import Path
+rows = []
+for proc in Path('/proc').iterdir():
+    if not proc.name.isdigit() or int(proc.name) == os.getpid():
+        continue
+    try:
+        env = dict(item.split(b'=', 1) for item in (proc / 'environ').read_bytes().split(b'\0') if b'=' in item)
+        row = {'pid': int(proc.name), 'worker_rank': int(env[b'PATHWAY_PROCESS_ID']) if b'PATHWAY_PROCESS_ID' in env else None}
+        for filename in ('status', 'smaps_rollup'):
+            for line in (proc / filename).read_text().splitlines():
+                if line.startswith(('VmRSS:', 'VmHWM:', 'Pss:', 'Private_Clean:', 'Private_Dirty:')):
+                    key, value = line.split(':', 1)
+                    row[key] = int(value.split()[0])
+        rows.append(row)
+    except (OSError, ValueError):
+        continue
+print(json.dumps(rows))
+'''
 SAMPLE_INTERVAL = 3.0
 # Streaming never exits; indexing is "done" when BOTH hold for this long:
 # the chunk counter stopped growing AND the indexer's CPU dropped to idle.
@@ -59,7 +83,7 @@ def _container_id(size: str, service: str) -> str:
     return out
 
 
-def _proc_status(container: str) -> dict[str, int] | None:
+def _proc_status(container: str) -> dict | None:
     """VmRSS/VmHWM (kB) summed over ALL processes in the container.
 
     With ``indexer.workers`` > 1 the container holds the spawn parent plus N
@@ -70,8 +94,7 @@ def _proc_status(container: str) -> dict[str, int] | None:
     """
 
     proc = subprocess.run(
-        ["docker", "exec", container, "sh", "-c",
-         "cat /proc/[0-9]*/status /proc/[0-9]*/smaps_rollup 2>/dev/null"],
+        ["docker", "exec", container, "python", "-c", PROC_SAMPLE],
         capture_output=True,
         text=True,
     )
@@ -81,10 +104,11 @@ def _proc_status(container: str) -> dict[str, int] | None:
     # worker) proportionally, so its sum is the honest physical footprint;
     # the VmRSS sum counts each shared page once per process.
     values = {"VmRSS": 0, "VmHWM": 0, "Pss": 0}
-    for line in proc.stdout.splitlines():
-        if line.startswith(("VmRSS:", "VmHWM:", "Pss:")):
-            key, rest = line.split(":", 1)
-            values[key] += int(rest.strip().split()[0])
+    rows = json.loads(proc.stdout)
+    for row in rows:
+        for key in values:
+            values[key] += row.get(key, 0)
+    values["processes"] = rows
     return values
 
 
@@ -207,6 +231,16 @@ def main() -> None:
     questions = json.loads((dataset / "questions.json").read_text())
     results_dir = ROOT / "results"
     results_dir.mkdir(exist_ok=True)
+    # Save the resolved setup without the license secret.
+    compose_config = _compose("config", "--format", "json", size=args.size, capture=True)
+    if compose_config.returncode:
+        raise SystemExit(compose_config.stderr)
+    resolved = json.loads(compose_config.stdout)
+    for service in resolved["services"].values():
+        env = service.get("environment", {})
+        if "PATHWAY_LICENSE_KEY" in env:
+            env["PATHWAY_LICENSE_KEY"] = "<redacted>"
+    (results_dir / f"{args.size}-compose.json").write_text(json.dumps(resolved, indent=2))
 
     import os
 
@@ -266,6 +300,10 @@ def _chunks() -> int:
     # The CSV is appended live, so an interrupted run keeps its memory curve.
     csv_path = results_dir / f"{args.size}-memory.csv"
     csv_path.write_text("elapsed_s,rss_mb,hwm_mb,pss_mb,chunks\n")
+    process_path = results_dir / f"{args.size}-processes.jsonl.gz"
+    peak_processes = []
+    peak_pss_kb = -1
+    process_log = gzip.open(process_path, "wt")
 
     samples: list[tuple[float, int, int, int, int]] = []  # (s, rss, hwm, pss, chunks)
     last_count = 0
@@ -299,6 +337,11 @@ def _chunks() -> int:
             last_count,
         )
         samples.append(sample)
+        process_log.write(json.dumps({"elapsed_s": elapsed, "processes": status["processes"]}) + "\n")
+        process_log.flush()
+        if sample[3] > peak_pss_kb:
+            peak_pss_kb = sample[3]
+            peak_processes = status["processes"]
         with csv_path.open("a") as fh:
             fh.write(
                 f"{sample[0]:.1f},{sample[1] / 1024:.1f},{sample[2] / 1024:.1f},"
@@ -321,6 +364,7 @@ def _chunks() -> int:
             break
         time.sleep(SAMPLE_INTERVAL)
     print()
+    process_log.close()
     duration = last_change - started
 
     # Vector-DB footprint: on-disk storage inside the qdrant container.
@@ -352,6 +396,10 @@ def _chunks() -> int:
         "peak_rss_mb": round(peak_mb, 1),
         # Honest physical peak: shared pages divided among processes.
         "peak_pss_mb": round(peak_pss_mb, 1),
+        "peak_processes": peak_processes,
+        "peak_elapsed_s": max(samples, key=lambda s: s[3])[0],
+        "jemalloc_conf": os.environ.get("BENCH_JEMALLOC_CONF", ""),
+        "omp_threads": int(os.environ.get("BENCH_OMP_THREADS", "12")),
         "indexer_cpu_seconds": round(cpu_seconds, 1) if cpu_seconds else None,
         "avg_parallelism": round(cpu_seconds / duration, 1) if cpu_seconds else None,
         "vector_db_disk_mb": round(db_bytes / 1024 / 1024, 1) if db_bytes else None,
@@ -374,8 +422,8 @@ def _chunks() -> int:
 
     fig, ax = plt.subplots(figsize=(9, 4.5))
     minutes = [s[0] / 60 for s in samples]
-    ax.plot(minutes, [s[1] / 1024 for s in samples], label="indexer RSS", linewidth=1.8)
-    ax.axhline(peak_mb, linestyle="--", linewidth=1, alpha=0.6, label=f"peak {peak_mb:.0f} MB")
+    ax.plot(minutes, [s[3] / 1024 for s in samples], label="indexer PSS", linewidth=1.8)
+    ax.axhline(peak_pss_mb, linestyle="--", linewidth=1, alpha=0.6, label=f"peak {peak_pss_mb:.0f} MB")
     ax.set_xlabel("minutes since start")
     ax.set_ylabel("memory, MB")
     ax.set_ylim(bottom=0)
@@ -395,6 +443,11 @@ def _chunks() -> int:
     print(json.dumps(summary, indent=2))
     print(f"plot: {plot_path}\ncsv:  {csv_path}")
 
+    logs = _compose("logs", "--no-color", "indexer", size=args.size, capture=True)
+    with gzip.open(results_dir / f"{args.size}-indexer.txt.gz", "wt") as fh:
+        fh.write(logs.stdout)
+        fh.write(logs.stderr)
+
     if not args.keep_up:
         _compose("down", "-v", size=args.size)
 

From 22c22aa47a65b4fd4066f350186df9b2e828c53c Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:05:22 +0200
Subject: [PATCH 02/32] Save complete 100 MiB benchmark run and explain changed
 chunk count

---
 .../realtime-data-indexing/plot_results.py    |  12 +-
 .../results/100mb-compose.json                | 170 ++++++++++++++++++
 .../results/100mb-memory.csv                  |  61 +++++++
 .../results/100mb-memory.png                  | Bin 0 -> 60052 bytes
 .../results/100mb-processes.jsonl.gz          | Bin 0 -> 6704 bytes
 .../results/100mb-summary.json                | 113 ++++++++++++
 .../realtime-data-indexing/results/README.md  |  33 ++++
 .../results/run-environment.json              |  23 +++
 8 files changed, 408 insertions(+), 4 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/results/100mb-compose.json
 create mode 100644 benchmarks/realtime-data-indexing/results/100mb-memory.csv
 create mode 100644 benchmarks/realtime-data-indexing/results/100mb-memory.png
 create mode 100644 benchmarks/realtime-data-indexing/results/100mb-processes.jsonl.gz
 create mode 100644 benchmarks/realtime-data-indexing/results/100mb-summary.json
 create mode 100644 benchmarks/realtime-data-indexing/results/README.md
 create mode 100644 benchmarks/realtime-data-indexing/results/run-environment.json

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 6f499b2..d50f48e 100644
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -105,9 +105,12 @@ def main():
     environment = json.loads((args.results / "run-environment.json").read_text())
     files = np.array([r["summary"]["documents"] for r in runs], dtype=float)
     extra = np.array([r["final_components"]["connector_extra_mb_estimate"] for r in runs])
-    slope = float(np.dot(files, extra * 1024**2) / np.dot(files, files))
+    # Allow fixed connector overhead rather than attributing it to file count.
+    slope, intercept = np.polyfit(files, extra * 1024**2, 1)
+    slope, intercept = float(slope), float(intercept)
     ratio = runs[-1]["summary"]["peak_pss_mb"] / runs[0]["summary"]["peak_pss_mb"]
-    derived = {"connector_bytes_per_file_estimate": slope, "peak_memory_ratio": ratio,
+    derived = {"connector_bytes_per_file_estimate": slope,
+               "connector_fixed_overhead_bytes_estimate": intercept, "peak_memory_ratio": ratio,
                "runs": [{"size": r["size"], "peak_components": r["peak_components"],
                          "final_components": r["final_components"]} for r in runs]}
     (args.results / "derived.json").write_text(json.dumps(derived, indent=2) + "\n")
@@ -122,7 +125,7 @@ def main():
     ax.legend(fontsize=9)
     right.scatter(files / 1000, extra, color="#5145ef", label="rank-0 private-memory excess (estimate)")
     x = np.linspace(0, files.max() * 1.05, 100)
-    right.plot(x / 1000, slope * x / 1024**2, "--", color="#10a34a", label=f"fit: ~{slope:.0f} bytes × files")
+    right.plot(x / 1000, (intercept + slope * x) / 1024**2, "--", color="#10a34a", label=f"fit: fixed overhead + ~{slope:.0f} bytes × files")
     for run, xx, yy in zip(runs, files / 1000, extra):
         right.annotate(run["label"], (xx, yy), xytext=(5, 0), textcoords="offset points", fontsize=9)
     right.set(title="File-watch memory proxy", xlabel="watched files, thousands", ylabel="extra private memory, MiB")
@@ -171,7 +174,8 @@ def main():
 The right panel estimates file-watch memory as rank 0's private-page excess
 over the median of the seven other workers at the final sample. It includes
 any other unequal worker allocations; it is not an allocation-level measurement.
-The line is a least-squares fit through zero (~{slope:.0f} bytes per file).
+The line is a least-squares fit with an intercept (~{slope:.0f} bytes per file;
+fixed overhead estimate {intercept / 1024**2:.1f} MiB).
 The pie splits peak PSS into worker private pages, estimated rank-0 excess,
 supervisor private pages and shared PSS. Worker pages include the engine,
 embedding runtime and buffers; `/proc` cannot attribute them separately.
diff --git a/benchmarks/realtime-data-indexing/results/100mb-compose.json b/benchmarks/realtime-data-indexing/results/100mb-compose.json
new file mode 100644
index 0000000..efcf5f5
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/100mb-compose.json
@@ -0,0 +1,170 @@
+{
+  "name": "serviette-consistency-bench",
+  "networks": {
+    "default": {
+      "name": "serviette-consistency-bench_default",
+      "ipam": {}
+    }
+  },
+  "services": {
+    "indexer": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "indexer",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OMP_NUM_THREADS": "12",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/100mb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    },
+    "qdrant": {
+      "command": null,
+      "entrypoint": null,
+      "image": "qdrant/qdrant:latest",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 6333,
+          "published": "8301",
+          "protocol": "tcp"
+        }
+      ]
+    },
+    "server": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "server",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 8000,
+          "published": "8300",
+          "protocol": "tcp"
+        }
+      ],
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/100mb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    }
+  },
+  "x-serviette": {
+    "build": {
+      "context": "../..",
+      "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+    },
+    "environment": {
+      "HF_HOME": "/hf-cache",
+      "HF_HUB_OFFLINE": "1",
+      "MALLOC_ARENA_MAX": "",
+      "OPENAI_API_KEY": "x",
+      "PATHWAY_LICENSE_KEY": "PV3L-4L4N-TF7R-JWM7-LKVK-PX3E-FHTX-KMNC",
+      "_RJEM_MALLOC_CONF": "background_thread:true"
+    },
+    "image": "serviette-bench",
+    "volumes": [
+      "~/.cache/huggingface:/hf-cache:ro",
+      "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/100mb/docs:/data/docs:ro",
+      "./config.yaml:/bench/config.yaml:ro"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/100mb-memory.csv b/benchmarks/realtime-data-indexing/results/100mb-memory.csv
new file mode 100644
index 0000000..ca44ac7
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/100mb-memory.csv
@@ -0,0 +1,61 @@
+elapsed_s,rss_mb,hwm_mb,pss_mb,chunks
+11.1,1102.0,1102.0,858.5,0
+14.4,2943.1,2951.4,1997.0,0
+18.0,7277.3,7277.3,4609.2,0
+21.6,9281.2,9281.3,5830.7,0
+25.5,10957.6,10957.6,6886.7,0
+29.3,11146.3,11146.6,7020.2,23909
+33.0,11182.3,11188.0,7028.8,36391
+36.6,11214.0,11219.1,7017.7,44463
+40.4,11258.4,11275.5,7011.3,51349
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diff --git a/benchmarks/realtime-data-indexing/results/100mb-memory.png b/benchmarks/realtime-data-indexing/results/100mb-memory.png
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diff --git a/benchmarks/realtime-data-indexing/results/100mb-summary.json b/benchmarks/realtime-data-indexing/results/100mb-summary.json
new file mode 100644
index 0000000..2791eda
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/100mb-summary.json
@@ -0,0 +1,113 @@
+{
+  "dataset": "100mb",
+  "corpus_mb": 100.0,
+  "documents": 12969,
+  "chunks": 53651,
+  "indexing_seconds": 44.0,
+  "throughput_mb_per_min": 136.24,
+  "peak_rss_mb": 11258.4,
+  "peak_pss_mb": 7028.8,
+  "peak_processes": [
+    {
+      "pid": 1,
+      "worker_rank": null,
+      "VmHWM": 990416,
+      "VmRSS": 990416,
+      "Pss": 626795,
+      "Private_Clean": 308,
+      "Private_Dirty": 583568
+    },
+    {
+      "pid": 131,
+      "worker_rank": null,
+      "VmHWM": 182760,
+      "VmRSS": 182760,
+      "Pss": 106876,
+      "Private_Clean": 32,
+      "Private_Dirty": 98524
+    },
+    {
+      "pid": 159,
+      "worker_rank": 0,
+      "VmHWM": 1383516,
+      "VmRSS": 1383516,
+      "Pss": 897528,
+      "Private_Clean": 764,
+      "Private_Dirty": 834220
+    },
+    {
+      "pid": 160,
+      "worker_rank": 1,
+      "VmHWM": 1268900,
+      "VmRSS": 1268628,
+      "Pss": 796966,
+      "Private_Clean": 484,
+      "Private_Dirty": 733792
+    },
+    {
+      "pid": 161,
+      "worker_rank": 2,
+      "VmHWM": 1286812,
+      "VmRSS": 1286812,
+      "Pss": 797217,
+      "Private_Clean": 300,
+      "Private_Dirty": 734384
+    },
+    {
+      "pid": 162,
+      "worker_rank": 3,
+      "VmHWM": 1268028,
+      "VmRSS": 1267004,
+      "Pss": 798308,
+      "Private_Clean": 916,
+      "Private_Dirty": 734284
+    },
+    {
+      "pid": 163,
+      "worker_rank": 4,
+      "VmHWM": 1266920,
+      "VmRSS": 1264620,
+      "Pss": 797776,
+      "Private_Clean": 436,
+      "Private_Dirty": 734024
+    },
+    {
+      "pid": 164,
+      "worker_rank": 5,
+      "VmHWM": 1253988,
+      "VmRSS": 1253888,
+      "Pss": 781688,
+      "Private_Clean": 24,
+      "Private_Dirty": 719472
+    },
+    {
+      "pid": 165,
+      "worker_rank": 6,
+      "VmHWM": 1285488,
+      "VmRSS": 1284748,
+      "Pss": 797871,
+      "Private_Clean": 3348,
+      "Private_Dirty": 731096
+    },
+    {
+      "pid": 166,
+      "worker_rank": 7,
+      "VmHWM": 1269672,
+      "VmRSS": 1268264,
+      "Pss": 796461,
+      "Private_Clean": 2032,
+      "Private_Dirty": 731308
+    }
+  ],
+  "peak_elapsed_s": 32.992267817258835,
+  "jemalloc_conf": "background_thread:true",
+  "omp_threads": 12,
+  "indexer_cpu_seconds": 370.4,
+  "avg_parallelism": 8.4,
+  "vector_db_disk_mb": 625.9,
+  "vector_db_mb_per_corpus_mb": 6.26,
+  "retrieval_accuracy": "5/5",
+  "embedder": "sentence-transformers/static-retrieval-mrl-en-v1 (local, 256 dims)",
+  "approx_text_pages": 52431,
+  "accuracy_misses": []
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
new file mode 100644
index 0000000..1382dc8
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -0,0 +1,33 @@
+# Indexing benchmark rerun — in progress
+
+Started 2026-10-12. All six sizes run sequentially with the published
+configuration: streaming, eight workers, 12 OpenMP threads per worker,
+local static embeddings truncated to 256 dimensions, 512-token chunks,
+Qdrant and jemalloc background purging. Exact host and package versions
+are recorded in `run-environment.json`. Resolved compose files redact secrets.
+
+Completed:
+
+| corpus | files | chunks | indexing time | peak PSS (GiB) | Qdrant disk (GiB) | retrieval |
+|---|---|---|---|---|---|---|
+| 100 MB | 12 969 | 53 651 | 44.0 s | 6.86 | 0.61 | 5/5 |
+
+The old 100 MB row reported 66,136 chunks, 39 s, 6.6 GB peak PSS and
+0.6 GB Qdrant storage. The file count is unchanged. The entire corpus was
+also split offline using stock `TokenCountSplitter(max_tokens=512)`:
+66,136 chunks, of which 12,485 are trailing fragments below 100 characters
+with a preceding chunk. The current serviette splitter merges those tails;
+66,136 − 12,485 = 53,651 exactly. Saved as `100mb-splitter-comparison.json`.
+This is a product change introduced in commit `3750fef`, not a benchmark
+configuration change. No source documents are missing.
+
+Each completed size saves aggregate CSV, summary JSON, per-size PSS PNG,
+compressed per-process JSONL, redacted compose JSON and compressed indexer
+logs. The CSV is written during execution. Peak PSS is the maximum sampled
+container sum; data collection continues during the existing completion
+window. `_mb` fields contain MiB. Input targets are nominally labeled:
+100 MB means 100 MiB and 1 GB means 1,000 MiB of text.
+
+The publication will be regenerated only after all six sizes complete and
+the plotting script validates the summaries against their CSVs and process
+snapshots. Its final result notes will replace this progress page.
diff --git a/benchmarks/realtime-data-indexing/results/run-environment.json b/benchmarks/realtime-data-indexing/results/run-environment.json
new file mode 100644
index 0000000..7d80a10
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/run-environment.json
@@ -0,0 +1,23 @@
+{
+  "started_utc": "2026-10-12T19:00:22.529304+00:00",
+  "git_commit": "6e219870e381c73c98dd15995caf88bbc5cfa6f7",
+  "cpu": "Architecture:                    x86_64\nCPU op-mode(s):                  32-bit, 64-bit\nAddress sizes:                   43 bits physical, 48 bits virtual\nByte Order:                      Little Endian\nCPU(s):                          96\nOn-line CPU(s) list:             0-95\nVendor ID:                       AuthenticAMD\nModel name:                      AMD EPYC 7402 24-Core Processor\nCPU family:                      23\nModel:                           49\nThread(s) per core:              2\nCore(s) per socket:              24\nSocket(s):                       2\nStepping:                        0\nFrequency boost:                 enabled\nCPU(s) scaling MHz:              99%\nCPU max MHz:                     2800.0000\nCPU min MHz:                     1500.0000\nBogoMIPS:                        5589.53\nFlags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sme sev sev_es\nVirtualization:                  AMD-V\nL1d cache:                       1.5 MiB (48 instances)\nL1i cache:                       1.5 MiB (48 instances)\nL2 cache:                        24 MiB (48 instances)\nL3 cache:                        256 MiB (16 instances)\nNUMA node(s):                    2\nNUMA node0 CPU(s):               0-23,48-71\nNUMA node1 CPU(s):               24-47,72-95\nVulnerability Itlb multihit:     Not affected\nVulnerability L1tf:              Not affected\nVulnerability Mds:               Not affected\nVulnerability Meltdown:          Not affected\nVulnerability Mmio stale data:   Not affected\nVulnerability Retbleed:          Mitigation; untrained return thunk; SMT enabled with STIBP protection\nVulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl\nVulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:        Mitigation; Retpolines, IBPB conditional, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected\nVulnerability Srbds:             Not affected\nVulnerability Tsx async abort:   Not affected",
+  "logical_cpus": 96,
+  "memory": "MemTotal:       2100643220 kB\nMemFree:        677079912 kB\nMemAvailable:   1182867364 kB\nBuffers:            1240 kB\nCached:         376573736 kB\nSwapCached:      1183132 kB\nActive:         140373948 kB\nInactive:       1031714416 kB\nActive(anon):    3448152 kB\nInactive(anon): 810799672 kB\nActive(file):   136925796 kB\nInactive(file): 220914744 kB\nUnevictable:      272780 kB\nMlocked:          272780 kB\nSwapTotal:       4194300 kB\nSwapFree:              0 kB\nDirty:               904 kB\nWriteback:             0 kB\nAnonPages:      785781864 kB\nMapped:         19469476 kB\nShmem:          18579620 kB\nKReclaimable:   161692716 kB\nSlab:           214152920 kB\nSReclaimable:   161692716 kB\nSUnreclaim:     52460204 kB\nKernelStack:      428944 kB\nPageTables:      2708320 kB\nNFS_Unstable:          0 kB\nBounce:                0 kB\nWritebackTmp:          0 kB\nCommitLimit:    1054515908 kB\nCommitted_AS:   1347338332 kB\nVmallocTotal:   34359738367 kB\nVmallocUsed:     1733276 kB\nVmallocChunk:          0 kB\nPercpu:         17190912 kB\nHardwareCorrupted:     0 kB\nAnonHugePages:  183640064 kB\nShmemHugePages:        0 kB\nShmemPmdMapped:        0 kB\nFileHugePages:         0 kB\nFilePmdMapped:         0 kB\nCmaTotal:              0 kB\nCmaFree:               0 kB\nHugePages_Total:       0\nHugePages_Free:        0\nHugePages_Rsvd:        0\nHugePages_Surp:        0\nHugepagesize:       2048 kB\nHugetlb:               0 kB\nDirectMap4k:    770803372 kB\nDirectMap2M:    1289414656 kB\nDirectMap1G:    75497472 kB\n",
+  "kernel": "5.14.0-160.el9.x86_64",
+  "docker": "Docker version 29.2.1, build a5c7197",
+  "versions": {
+    "serviette": "0.1.7",
+    "pathway": "0.33.0",
+    "torch": "2.14.1",
+    "sentence-transformers": "6.1.0",
+    "qdrant-client": "1.19.1"
+  },
+  "image": "sha256:84b80c81426ebd36d7a1b9635d536c1ed8d05df4079e199f9924d3dbe4839c81",
+  "environment": {
+    "BENCH_DATA_ROOT": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets",
+    "BENCH_JEMALLOC_CONF": "background_thread:true",
+    "BENCH_OMP_THREADS": "12",
+    "COMPOSE_PROJECT_NAME": "serviette-consistency-bench"
+  }
+}

From 8e7a54b49fd9e333ed6d3f0b23c9fe9e59dfe279 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:11:34 +0200
Subject: [PATCH 03/32] Preserve historical benchmark references and flag
 inconsistent archive pairs


From 7e234677c74f4e744db89a18438d78d9fb86ac17 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:11:44 +0200
Subject: [PATCH 04/32] Document historical units and mismatched small-run CSVs


From 851bffa67e8009a557de9fa9584620e65f2560ce Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:20:30 +0200
Subject: [PATCH 05/32] Save 1 GiB target results and measure local embedder
 memory separately

---
 .../measure_embedder.py                       | 106 +++++++++++
 .../realtime-data-indexing/plot_results.py    |  84 +++++++--
 .../realtime-data-indexing/rerun_all.py       |  11 ++
 .../results/100mb-summary.json                |   6 +-
 .../results/1gb-compose.json                  | 170 +++++++++++++++++
 .../results/1gb-memory.csv                    | 129 +++++++++++++
 .../results/1gb-memory.png                    | Bin 0 -> 67981 bytes
 .../results/1gb-processes.jsonl.gz            | Bin 0 -> 18390 bytes
 .../results/1gb-summary.json                  | 138 ++++++++++++++
 .../realtime-data-indexing/results/README.md  |  15 ++
 .../results/embedder-calibration.json         | 177 ++++++++++++++++++
 .../realtime-data-indexing/run_bench.py       |  18 ++
 12 files changed, 839 insertions(+), 15 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/measure_embedder.py
 create mode 100644 benchmarks/realtime-data-indexing/results/1gb-compose.json
 create mode 100644 benchmarks/realtime-data-indexing/results/1gb-memory.csv
 create mode 100644 benchmarks/realtime-data-indexing/results/1gb-memory.png
 create mode 100644 benchmarks/realtime-data-indexing/results/1gb-processes.jsonl.gz
 create mode 100644 benchmarks/realtime-data-indexing/results/1gb-summary.json
 create mode 100644 benchmarks/realtime-data-indexing/results/embedder-calibration.json

diff --git a/benchmarks/realtime-data-indexing/measure_embedder.py b/benchmarks/realtime-data-indexing/measure_embedder.py
new file mode 100644
index 0000000..f9a1f83
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/measure_embedder.py
@@ -0,0 +1,106 @@
+#!/usr/bin/env python3
+"""Diagnostic: eight workers, before/after local embedder initialization.
+
+Run between indexing sizes, in the same image and environment. This does
+not replace the indexing benchmark. Anonymous local-embedding memory is
+estimated by the private-page increment; shared code comes from main-run
+mapping samples. Keep workers alive at each barrier to count shared pages
+proportionally across all eight rather than multiplying a single RSS value.
+"""
+from __future__ import annotations
+
+import argparse
+import gc
+import json
+import os
+from pathlib import Path
+import subprocess
+import sys
+import time
+
+
+def snapshot():
+    result = {}
+    for line in Path('/proc/self/smaps_rollup').read_text().splitlines():
+        if line.startswith(('Pss:', 'Private_Clean:', 'Private_Dirty:')):
+            key, value = line.split(':', 1)
+            result[key] = int(value.split()[0])
+    return result
+
+
+def worker(rank, directory, config):
+    # Match modules used by the actual indexer before constructing the model.
+    from serviette.indexer.graph import build_xpack_embedder
+    from serviette.config.schema import EmbedderConfig
+    from pathway.xpacks.llm import embedders  # noqa: F401
+    import yaml
+    cfg = EmbedderConfig(**yaml.safe_load(config.read_text())['embedder'])
+    stages = ['baseline', 'runtime', 'model_warm', 'model_released']
+    for stage in stages:
+        while not (directory / f'{stage}.go').exists():
+            time.sleep(0.05)
+        if stage == 'runtime':
+            import sentence_transformers  # noqa: F401
+        elif stage == 'model_warm':
+            embedder = build_xpack_embedder(cfg)
+            text = 'Wikipedia articles describe history, science and geography. ' * 70
+            for _ in range(3):
+                vectors = embedder.__wrapped__([text] * cfg.batch_size)
+                assert len(vectors[0]) == 256
+            del vectors
+        elif stage == 'model_released':
+            del embedder
+        gc.collect()
+        # Let background purging settle, without changing allocator settings.
+        time.sleep(2)
+        (directory / f'{stage}.{rank}.ready').write_text('ready')
+        while not (directory / f'{stage}.sample').exists():
+            time.sleep(0.05)
+        (directory / f'{stage}.{rank}.json').write_text(json.dumps(snapshot()))
+    while not (directory / 'finish').exists():
+        time.sleep(0.05)
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('--worker', type=int)
+    parser.add_argument('--directory', type=Path, default=Path('/tmp/embedder-calibration'))
+    parser.add_argument('--config', type=Path, default=Path('/bench/config.yaml'))
+    args = parser.parse_args()
+    if args.worker is not None:
+        worker(args.worker, args.directory, args.config)
+        return
+    args.directory.mkdir()
+    children = [subprocess.Popen([sys.executable, __file__, '--worker', str(rank),
+                                 '--directory', str(args.directory), '--config', str(args.config)],
+                                env={**os.environ, 'PATHWAY_PROCESS_ID': str(rank)},
+                                stdout=sys.stderr) for rank in range(8)]
+    result = {'description': __doc__, 'workers': 8,
+              'jemalloc_conf': os.environ.get('_RJEM_MALLOC_CONF'),
+              'omp_threads': os.environ.get('OMP_NUM_THREADS'), 'stages': {}}
+    try:
+        for stage in ['baseline', 'runtime', 'model_warm', 'model_released']:
+            (args.directory / f'{stage}.go').touch()
+            for suffix in ['ready', 'json']:
+                deadline = time.monotonic() + 180
+                while not all((args.directory / f'{stage}.{rank}.{suffix}').exists() for rank in range(8)):
+                    if any(child.poll() is not None for child in children):
+                        raise RuntimeError('Diagnostic worker exited')
+                    if time.monotonic() > deadline:
+                        raise TimeoutError(stage)
+                    time.sleep(0.1)
+                if suffix == 'ready':
+                    (args.directory / f'{stage}.sample').touch()
+            result['stages'][stage] = [json.loads((args.directory / f'{stage}.{rank}.json').read_text()) for rank in range(8)]
+        print(json.dumps(result, indent=2))
+    finally:
+        (args.directory / 'finish').touch()
+        for child in children:
+            if child.poll() is None:
+                child.terminate()
+        for child in children:
+            child.wait()
+
+
+if __name__ == '__main__':
+    main()
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index d50f48e..8389836 100644
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -58,6 +58,35 @@ def duration(seconds):
     return f"{seconds / 3600:.1f} h"
 
 
+def embedder_breakdown(run, calibration):
+    def private_total(stage):
+        return sum(p['Private_Clean'] + p['Private_Dirty'] for p in calibration['stages'][stage]) / 1024
+    baseline = private_total('baseline')
+    worker_embedder_private = private_total('model_warm') - baseline
+    processes = run['summary']['peak_processes']
+    if not all('mapping_groups' in p for p in processes):
+        raise ValueError('10 GB peak must include embedding-library mapping measurements')
+    c = run['peak_components']
+    # Initialization and live batches have different buffer lifetimes. Never
+    # attribute more private memory than the measured worker footprint minus
+    # its independently measured pre-embedder baseline. Supervisor private
+    # pages remain in the residual; some may also be removable with a remote
+    # embedder, so this estimate does not subtract them speculatively.
+    embedding_private = min(worker_embedder_private, c['workers_private_mb'] - baseline)
+    embedding_shared = sum(max(0, p['mapping_groups']['embedding']['Pss'] -
+        p['mapping_groups']['embedding']['private_kb']) for p in processes) / 1024
+    metadata = c['connector_extra_mb_estimate']
+    remaining_private = c['workers_private_mb'] + c['supervisors_private_mb'] - embedding_private
+    other_shared = c['shared_pss_mb'] - embedding_shared
+    if min(embedding_private, remaining_private, other_shared) < -1:
+        raise ValueError('Embedder attribution is incompatible with measured peak pages')
+    return {'local_embedder_private_mb_estimate': embedding_private,
+            'local_embedder_shared_libraries_mb': embedding_shared,
+            'file_watch_mb_estimate': metadata,
+            'remaining_indexer_private_mb_estimate': remaining_private,
+            'other_shared_mb': max(0, other_shared)}
+
+
 def load(results):
     runs = []
     for size, label in SIZES:
@@ -67,8 +96,8 @@ def load(results):
         peak = max(s["pss_mb"] for s in samples)
         if abs(peak - summary["peak_pss_mb"]) > 0.11:
             raise ValueError(f"{size}: CSV peak does not match summary")
-        if int(samples[-1]["chunks"]) != summary["chunks"]:
-            raise ValueError(f"{size}: final CSV chunk count does not match summary")
+        if int(samples[-1]["chunks"]) != summary["max_observed_chunks"]:
+            raise ValueError(f"{size}: CSV high-water chunk count does not match summary")
         if summary["jemalloc_conf"] != "background_thread:true" or summary["omp_threads"] != 12:
             raise ValueError(f"{size}: different measured configuration")
         with gzip.open(results / f"{size}-processes.jsonl.gz", "rt") as fh:
@@ -103,6 +132,13 @@ def main():
     args = parser.parse_args()
     runs = load(args.results)  # Fail before touching published files if any run is missing.
     environment = json.loads((args.results / "run-environment.json").read_text())
+    ten = next(r for r in runs if r["size"] == "10gb")
+    calibration = json.loads((args.results / 'embedder-calibration.json').read_text())
+    if (calibration['image'] != environment['image'] or calibration['workers'] != 8
+            or calibration['jemalloc_conf'] != 'background_thread:true'
+            or calibration['omp_threads'] != '12'):
+        raise ValueError('Embedder diagnostic and indexing runs have different setups')
+    c = embedder_breakdown(ten, calibration)
     files = np.array([r["summary"]["documents"] for r in runs], dtype=float)
     extra = np.array([r["final_components"]["connector_extra_mb_estimate"] for r in runs])
     # Allow fixed connector overhead rather than attributing it to file count.
@@ -136,16 +172,22 @@ def main():
     fig.savefig(args.assets / "bench-memory.png", dpi=130)
     plt.close(fig)
 
-    ten = next(r for r in runs if r["size"] == "10gb")
-    c = ten["peak_components"]
+    derived['10gb_embedder_breakdown'] = c
+    derived['10gb_indexer_without_local_embedder_mb_estimate'] = (
+        ten['summary']['peak_pss_mb'] - c['local_embedder_private_mb_estimate'] - c['local_embedder_shared_libraries_mb'])
+    (args.results / "derived.json").write_text(json.dumps(derived, indent=2) + "\n")
     values = list(c.values())
-    labels = ["Worker private pages\n(embeddings + engine + buffers)",
-              "Rank-0 excess\n(file-watch estimate)", "Supervisor private pages", "Shared pages (PSS)"]
+    labels = ["Local embedder private memory\n(calibrated estimate)",
+              "Local embedder shared libraries\n(measured PSS)",
+              "File-watch memory\n(rank-0 excess estimate)",
+              "Remaining indexer private memory\n(engine + buffers + supervisors; estimate)",
+              "Other shared pages\n(measured PSS)"]
     labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
     fig, ax = plt.subplots(figsize=(11, 6))
-    ax.pie(values, labels=labels, autopct="%1.0f%%", colors=["#5145ef", "#10a34a", "#cbd5e1", "#a5b4fc"],
+    ax.pie(values, labels=labels, autopct="%1.0f%%", colors=["#5145ef", "#a5b4fc", "#10a34a", "#64748b", "#cbd5e1"],
            wedgeprops={"edgecolor": "white"})
-    ax.set_title(f"10 GB corpus: breakdown at measured peak ({ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS)")
+    ax.set_title(f"10 GB corpus: measured peak {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS\n"
+                 f"Estimated indexer without local embedder: {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.1f} GiB")
     fig.tight_layout()
     fig.savefig(args.assets / "bench-memory-breakdown.png", dpi=130)
     plt.close(fig)
@@ -166,6 +208,11 @@ def main():
 CSV columns ending in `_mb` contain MiB. Pages use 2,000 bytes per page.
 Peaks are the maximum sampled total PSS, not kernel high-water marks.
 Sampling continues through the existing completion window.
+The chunk-count methodology is unchanged: the summary uses Qdrant's
+approximate count at completion, while CSV `chunks` retains the maximum
+observed count used by the completion detector. Segment optimization can
+reduce approximate counts, so these two fields need not be identical;
+`max_observed_chunks` records the CSV's value in the summary explicitly.
 
 `*-memory.csv` and `*-processes.jsonl.gz` record aggregate and per-process
 measurements at the same times; `*-summary.json` includes the process snapshot
@@ -176,9 +223,20 @@ def main():
 any other unequal worker allocations; it is not an allocation-level measurement.
 The line is a least-squares fit with an intercept (~{slope:.0f} bytes per file;
 fixed overhead estimate {intercept / 1024**2:.1f} MiB).
-The pie splits peak PSS into worker private pages, estimated rank-0 excess,
-supervisor private pages and shared PSS. Worker pages include the engine,
-embedding runtime and buffers; `/proc` cannot attribute them separately.
+The pie attributes local-embedding private memory using an eight-process
+controlled diagnostic in the same image: graph imports before the embedder,
+runtime imported, model loaded and warmed on three 2,048-text batches, then
+model released. `embedder-calibration.json` records all stages. The private
+increment after warming estimates the local stack's private cost across eight
+workers. This is capped at the observed non-file-watch worker private memory
+minus the calibrated pre-embedder baseline, since live and diagnostic buffers
+have different lifetimes. Supervisor private pages are left in the residual;
+any embedding allocations there are not subtracted speculatively.
+Shared embedding-library PSS comes directly from mapping samples
+at the 10 GB peak, with other shared pages separated. Anonymous attribution
+and the indexer-without-local-embedder figure are estimates, not an actual
+external-service benchmark; client overhead and changes in working buffers
+are not measured. The embedding service's own memory is outside that figure.
 Derived values are saved in `derived.json`.
 
 Regenerate with `python plot_results.py --update-readme`.
@@ -219,9 +277,9 @@ def main():
 <p align="center"><em>All curves and table values come from the same runs with allocator background purging enabled. File-watch memory is estimated from rank-0 private-memory excess over the median of the other workers.</em></p>
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS peak: worker private pages, estimated file-watch excess, supervisor private pages and shared PSS." width="85%">
+  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS peak: estimated local-embedder private memory, measured shared embedding libraries, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
 </p>
-<p align="center"><em>Process measurements at the actual 10 GB peak. Worker private pages include embeddings, engine and buffers; the file-watch share is an estimate. Shared pages are counted once through PSS.</em></p>
+<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder private memory is estimated from a separate eight-process initialization diagnostic; shared library PSS is measured from mappings. Without the local embedder the indexer's footprint is estimated at {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.1f} GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
 
 Setup: {environment['logical_cpus']}-logical-CPU host (see the saved CPU model),
 streaming mode, 8 worker processes with 12 OpenMP threads each,
diff --git a/benchmarks/realtime-data-indexing/rerun_all.py b/benchmarks/realtime-data-indexing/rerun_all.py
index fdac878..cc168b7 100644
--- a/benchmarks/realtime-data-indexing/rerun_all.py
+++ b/benchmarks/realtime-data-indexing/rerun_all.py
@@ -66,6 +66,17 @@ def output(cmd):
         if summary["chunks"] < summary["documents"]:
             raise RuntimeError(f"Incomplete indexing: {size}")
         print(f"Finished {size}: {summary['chunks']} chunks, {summary['peak_pss_mb']} MiB PSS", flush=True)
+    print("Measuring local embedder initialization separately from indexing", flush=True)
+    diagnostic = subprocess.run(
+        ["docker", "compose", "run", "--rm", "--no-deps", "-T", "-v",
+         f"{ROOT / 'measure_embedder.py'}:/bench/measure_embedder.py:ro",
+         "indexer", "python", "/bench/measure_embedder.py"],
+        cwd=ROOT, capture_output=True, text=True, check=True)
+    calibration = json.loads(diagnostic.stdout)
+    calibration["image"] = metadata["image"]
+    (results / "embedder-calibration.json").write_text(json.dumps(calibration, indent=2) + "\n")
+    with gzip.open(results / "embedder-calibration.txt.gz", "wt") as fh:
+        fh.write(diagnostic.stderr)
     subprocess.run([sys.executable, str(ROOT / "plot_results.py"), "--update-readme"], check=True)
     print("All six sizes measured; README and figures regenerated.", flush=True)
 
diff --git a/benchmarks/realtime-data-indexing/results/100mb-summary.json b/benchmarks/realtime-data-indexing/results/100mb-summary.json
index 2791eda..57c702f 100644
--- a/benchmarks/realtime-data-indexing/results/100mb-summary.json
+++ b/benchmarks/realtime-data-indexing/results/100mb-summary.json
@@ -109,5 +109,7 @@
   "retrieval_accuracy": "5/5",
   "embedder": "sentence-transformers/static-retrieval-mrl-en-v1 (local, 256 dims)",
   "approx_text_pages": 52431,
-  "accuracy_misses": []
-}
\ No newline at end of file
+  "accuracy_misses": [],
+  "max_observed_chunks": 53651,
+  "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count"
+}
diff --git a/benchmarks/realtime-data-indexing/results/1gb-compose.json b/benchmarks/realtime-data-indexing/results/1gb-compose.json
new file mode 100644
index 0000000..8f6bb6f
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/1gb-compose.json
@@ -0,0 +1,170 @@
+{
+  "name": "serviette-consistency-bench",
+  "networks": {
+    "default": {
+      "name": "serviette-consistency-bench_default",
+      "ipam": {}
+    }
+  },
+  "services": {
+    "indexer": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "indexer",
+        "--config",
+        "/bench/config.yaml"
+      ],
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+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
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+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OMP_NUM_THREADS": "12",
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+        "PATHWAY_LICENSE_KEY": "<redacted>",
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+      },
+      "image": "serviette-bench",
+      "networks": {
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+      },
+      "volumes": [
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+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/1gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    },
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+      "entrypoint": null,
+      "image": "qdrant/qdrant:latest",
+      "networks": {
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+      },
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+          "host_ip": "127.0.0.1",
+          "target": 6333,
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+          "protocol": "tcp"
+        }
+      ]
+    },
+    "server": {
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+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "server",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
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+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 8000,
+          "published": "8300",
+          "protocol": "tcp"
+        }
+      ],
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/1gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    }
+  },
+  "x-serviette": {
+    "build": {
+      "context": "../..",
+      "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+    },
+    "environment": {
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+      "HF_HUB_OFFLINE": "1",
+      "MALLOC_ARENA_MAX": "",
+      "OPENAI_API_KEY": "x",
+      "PATHWAY_LICENSE_KEY": "PV3L-4L4N-TF7R-JWM7-LKVK-PX3E-FHTX-KMNC",
+      "_RJEM_MALLOC_CONF": "background_thread:true"
+    },
+    "image": "serviette-bench",
+    "volumes": [
+      "~/.cache/huggingface:/hf-cache:ro",
+      "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/1gb/docs:/data/docs:ro",
+      "./config.yaml:/bench/config.yaml:ro"
+    ]
+  }
+}
\ No newline at end of file
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new file mode 100644
index 0000000..b799636
--- /dev/null
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zMrQk@3rj>~e*o*2zuv&aWw+Pz+L4akBBo686CiUm;3mx%o`!v_%jAO-ma&HSFD`En
z*sR;NY398{XJ%{(y3)kO{zNij)<R&H7}!-_{8mzNwTSEMGg1?_&AfNuPDaGEMQy;^
zFwouYtf!PD>oool2}#$RPN|GLEhhu(+cS4E3Q+6URA9YpXz+a|&;Q7(s`3}UXD`fJ
z#HNzF)ZE-ux~~<~gIc6k0&KVkR82Z|Y)Nmo)a(lj1WaW=I9=&E0>r;sS4c{>!dg$j
zOy1Mm(|hpvT!ziFH=cWuy5NeAE3Zy~zvR)2EQjJ67`m0S?ySsd*!1A`kqeWS2*3C3
z>0J@u71eWOnTDHYme+S+slBvG((}31%&36J4njcx-br}i9T;rn1#e}zp6&etY&?Ev
ziIifFmTgmh@JPT)eDSeqCyuU|D48kV&M=wr>EtgO%l9%*p2(Ux`HLId6@9m}z+s96
zU>9&wU~=%{i%C<|j;`Q@cdLNX2W+d1y#oTdA}8D4TDm+*Gppqiu%a_nS?ZmikmuIA
z_sf)Ni`1q}U!?Il+Ts+y4X~g3;l(BC#X0r|>h_ww12#%}egVZCrY~~d>J91tGc&A@
LO<0~hkBI>Qov<7I

literal 0
HcmV?d00001

diff --git a/benchmarks/realtime-data-indexing/results/1gb-summary.json b/benchmarks/realtime-data-indexing/results/1gb-summary.json
new file mode 100644
index 0000000..7778c69
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/1gb-summary.json
@@ -0,0 +1,138 @@
+{
+  "dataset": "1gb",
+  "corpus_mb": 1000.0,
+  "documents": 240516,
+  "chunks": 604299,
+  "indexing_seconds": 293.6,
+  "throughput_mb_per_min": 204.35,
+  "peak_rss_mb": 11306.9,
+  "peak_pss_mb": 6980.8,
+  "peak_processes": [
+    {
+      "pid": 1,
+      "worker_rank": null,
+      "VmHWM": 989848,
+      "VmRSS": 989848,
+      "Pss": 627136,
+      "Private_Clean": 212,
+      "Private_Dirty": 583568
+    },
+    {
+      "pid": 144,
+      "worker_rank": null,
+      "VmHWM": 183220,
+      "VmRSS": 183220,
+      "Pss": 107278,
+      "Private_Clean": 84,
+      "Private_Dirty": 98528
+    },
+    {
+      "pid": 159,
+      "worker_rank": 0,
+      "VmHWM": 1479060,
+      "VmRSS": 1477968,
+      "Pss": 979990,
+      "Private_Clean": 1456,
+      "Private_Dirty": 915160
+    },
+    {
+      "pid": 160,
+      "worker_rank": 1,
+      "VmHWM": 1279256,
+      "VmRSS": 1278216,
+      "Pss": 777325,
+      "Private_Clean": 108,
+      "Private_Dirty": 714564
+    },
+    {
+      "pid": 161,
+      "worker_rank": 2,
+      "VmHWM": 1278908,
+      "VmRSS": 1277308,
+      "Pss": 778555,
+      "Private_Clean": 1452,
+      "Private_Dirty": 714220
+    },
+    {
+      "pid": 162,
+      "worker_rank": 3,
+      "VmHWM": 1272260,
+      "VmRSS": 1271864,
+      "Pss": 772901,
+      "Private_Clean": 1088,
+      "Private_Dirty": 708544
+    },
+    {
+      "pid": 163,
+      "worker_rank": 4,
+      "VmHWM": 1279164,
+      "VmRSS": 1278276,
+      "Pss": 778984,
+      "Private_Clean": 540,
+      "Private_Dirty": 715968
+    },
+    {
+      "pid": 164,
+      "worker_rank": 5,
+      "VmHWM": 1273708,
+      "VmRSS": 1273036,
+      "Pss": 773988,
+      "Private_Clean": 316,
+      "Private_Dirty": 710180
+    },
+    {
+      "pid": 165,
+      "worker_rank": 6,
+      "VmHWM": 1271656,
+      "VmRSS": 1271300,
+      "Pss": 772349,
+      "Private_Clean": 1056,
+      "Private_Dirty": 708356
+    },
+    {
+      "pid": 166,
+      "worker_rank": 7,
+      "VmHWM": 1277992,
+      "VmRSS": 1277204,
+      "Pss": 779792,
+      "Private_Clean": 740,
+      "Private_Dirty": 716088
+    }
+  ],
+  "peak_elapsed_s": 297.30629689991474,
+  "jemalloc_conf": "background_thread:true",
+  "omp_threads": 12,
+  "indexer_cpu_seconds": 3078.4,
+  "avg_parallelism": 10.5,
+  "vector_db_disk_mb": 1890.3,
+  "vector_db_mb_per_corpus_mb": 1.89,
+  "retrieval_accuracy": "18/20",
+  "embedder": "sentence-transformers/static-retrieval-mrl-en-v1 (local, 256 dims)",
+  "approx_text_pages": 524288,
+  "accuracy_misses": [
+    {
+      "expected": "0004/4000-Fat-tailed-distribution.txt",
+      "query": "Fat-tailed distribution: A fat-tailed distribution is a probability distribution that exhibits a large skewness or kurto",
+      "got": [
+        "0002/1834-Overdispersion.txt",
+        "0000/2592-Cumulative-distribution-function.txt",
+        "0019/3908-Von-Mises-Fisher-distribution.txt",
+        "0000/1640-Binomial-distribution.txt",
+        "0000/2592-Cumulative-distribution-function.txt"
+      ]
+    },
+    {
+      "expected": "0005/6000-Jamie-Mueller.txt",
+      "query": "Jamie Mueller: Jamie F.",
+      "got": [
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt"
+      ]
+    }
+  ],
+  "max_observed_chunks": 604598,
+  "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count"
+}
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index 1382dc8..e299154 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -11,6 +11,7 @@ Completed:
 | corpus | files | chunks | indexing time | peak PSS (GiB) | Qdrant disk (GiB) | retrieval |
 |---|---|---|---|---|---|---|
 | 100 MB | 12 969 | 53 651 | 44.0 s | 6.86 | 0.61 | 5/5 |
+| 1 GB | 240 516 | 604 299 | 293.6 s | 6.82 | 1.85 | 18/20 |
 
 The old 100 MB row reported 66,136 chunks, 39 s, 6.6 GB peak PSS and
 0.6 GB Qdrant storage. The file count is unchanged. The entire corpus was
@@ -31,3 +32,17 @@ window. `_mb` fields contain MiB. Input targets are nominally labeled:
 The publication will be regenerated only after all six sizes complete and
 the plotting script validates the summaries against their CSVs and process
 snapshots. Its final result notes will replace this progress page.
+
+Qdrant approximate counts can fall during segment optimization. CSV `chunks`
+records the completion detector's maximum observed count, and summary
+`max_observed_chunks` preserves it explicitly; summary `chunks` is the
+approximate count at completion. On 1 GB these are 604,598 and 604,299.
+These fields retain the existing benchmark methodology, and are not exact
+allocation or point-count audits.
+
+The local-embedder diagnostic (`embedder-calibration.json`) separately runs
+eight workers in the same image/environment, recording private and PSS
+before local embedding imports and after model warming. Private-page growth
+is about 5.24 GiB across eight workers. Its own graph has no live document
+processing, so attribution to a live indexing peak remains an estimate.
+Shared library PSS will be taken from the main 10 GB peak's mappings.
diff --git a/benchmarks/realtime-data-indexing/results/embedder-calibration.json b/benchmarks/realtime-data-indexing/results/embedder-calibration.json
new file mode 100644
index 0000000..f612dbe
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/embedder-calibration.json
@@ -0,0 +1,177 @@
+{
+  "description": "Diagnostic: eight workers, before/after local embedder initialization.\n\nRun between indexing sizes, in the same image and environment. This does\nnot replace the indexing benchmark. Anonymous local-embedding memory is\nestimated by the private-page increment; shared code comes from main-run\nmapping samples. Keep workers alive at each barrier to count shared pages\nproportionally across all eight rather than multiplying a single RSS value.\n",
+  "workers": 8,
+  "jemalloc_conf": "background_thread:true",
+  "omp_threads": "12",
+  "stages": {
+    "baseline": [
+      {
+        "Pss": 121819,
+        "Private_Clean": 2936,
+        "Private_Dirty": 107036
+      },
+      {
+        "Pss": 119002,
+        "Private_Clean": 464,
+        "Private_Dirty": 107044
+      },
+      {
+        "Pss": 118853,
+        "Private_Clean": 40,
+        "Private_Dirty": 107072
+      },
+      {
+        "Pss": 119120,
+        "Private_Clean": 316,
+        "Private_Dirty": 107012
+      },
+      {
+        "Pss": 119129,
+        "Private_Clean": 104,
+        "Private_Dirty": 107096
+      },
+      {
+        "Pss": 119451,
+        "Private_Clean": 260,
+        "Private_Dirty": 107068
+      },
+      {
+        "Pss": 119407,
+        "Private_Clean": 676,
+        "Private_Dirty": 107052
+      },
+      {
+        "Pss": 118832,
+        "Private_Clean": 16,
+        "Private_Dirty": 106988
+      }
+    ],
+    "runtime": [
+      {
+        "Pss": 594428,
+        "Private_Clean": 3200,
+        "Private_Dirty": 539524
+      },
+      {
+        "Pss": 592001,
+        "Private_Clean": 884,
+        "Private_Dirty": 539556
+      },
+      {
+        "Pss": 591723,
+        "Private_Clean": 380,
+        "Private_Dirty": 539648
+      },
+      {
+        "Pss": 591359,
+        "Private_Clean": 328,
+        "Private_Dirty": 539528
+      },
+      {
+        "Pss": 597426,
+        "Private_Clean": 6512,
+        "Private_Dirty": 539620
+      },
+      {
+        "Pss": 592319,
+        "Private_Clean": 872,
+        "Private_Dirty": 539696
+      },
+      {
+        "Pss": 592118,
+        "Private_Clean": 960,
+        "Private_Dirty": 539656
+      },
+      {
+        "Pss": 591283,
+        "Private_Clean": 304,
+        "Private_Dirty": 539420
+      }
+    ],
+    "model_warm": [
+      {
+        "Pss": 849266,
+        "Private_Clean": 3208,
+        "Private_Dirty": 792976
+      },
+      {
+        "Pss": 851213,
+        "Private_Clean": 916,
+        "Private_Dirty": 797352
+      },
+      {
+        "Pss": 844150,
+        "Private_Clean": 396,
+        "Private_Dirty": 790672
+      },
+      {
+        "Pss": 848505,
+        "Private_Clean": 328,
+        "Private_Dirty": 795308
+      },
+      {
+        "Pss": 854645,
+        "Private_Clean": 7532,
+        "Private_Dirty": 794584
+      },
+      {
+        "Pss": 844396,
+        "Private_Clean": 884,
+        "Private_Dirty": 790400
+      },
+      {
+        "Pss": 845748,
+        "Private_Clean": 916,
+        "Private_Dirty": 791944
+      },
+      {
+        "Pss": 839030,
+        "Private_Clean": 304,
+        "Private_Dirty": 785804
+      }
+    ],
+    "model_released": [
+      {
+        "Pss": 849143,
+        "Private_Clean": 3204,
+        "Private_Dirty": 792976
+      },
+      {
+        "Pss": 851053,
+        "Private_Clean": 884,
+        "Private_Dirty": 797352
+      },
+      {
+        "Pss": 844034,
+        "Private_Clean": 384,
+        "Private_Dirty": 790672
+      },
+      {
+        "Pss": 848389,
+        "Private_Clean": 328,
+        "Private_Dirty": 795308
+      },
+      {
+        "Pss": 854497,
+        "Private_Clean": 7516,
+        "Private_Dirty": 794584
+      },
+      {
+        "Pss": 844280,
+        "Private_Clean": 868,
+        "Private_Dirty": 790400
+      },
+      {
+        "Pss": 845603,
+        "Private_Clean": 900,
+        "Private_Dirty": 791944
+      },
+      {
+        "Pss": 838914,
+        "Private_Clean": 304,
+        "Private_Dirty": 785804
+      }
+    ]
+  },
+  "image": "sha256:84b80c81426ebd36d7a1b9635d536c1ed8d05df4079e199f9924d3dbe4839c81"
+}
diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
index f840443..84d38c6 100644
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -42,6 +42,22 @@
                 if line.startswith(('VmRSS:', 'VmHWM:', 'Pss:', 'Private_Clean:', 'Private_Dirty:')):
                     key, value = line.split(':', 1)
                     row[key] = int(value.split()[0])
+        # File mappings identify shared local-embedding libraries. Anonymous
+        # allocations require a separate controlled initialization measurement.
+        groups = {'embedding': {'Pss': 0, 'private_kb': 0},
+                  'other': {'Pss': 0, 'private_kb': 0}}
+        group = 'other'
+        for line in (proc / 'smaps').read_text().splitlines():
+            parts = line.split()
+            if parts and '-' in parts[0] and ':' not in parts[0]:
+                path = parts[-1] if len(parts) >= 6 else ''
+                group = 'embedding' if any(part in path for part in
+                    ('/torch/', '/nvidia/', '/triton/', '/sentence_transformers/', '/tokenizers/', '/safetensors/')) else 'other'
+            elif line.startswith('Pss:'):
+                groups[group]['Pss'] += int(parts[1])
+            elif line.startswith(('Private_Clean:', 'Private_Dirty:')):
+                groups[group]['private_kb'] += int(parts[1])
+        row['mapping_groups'] = groups
         rows.append(row)
     except (OSError, ValueError):
         continue
@@ -391,6 +407,8 @@ def _chunks() -> int:
         "corpus_mb": round(size_mb, 1),
         "documents": docs_count,
         "chunks": stats.get("chunks"),
+        "max_observed_chunks": last_count,
+        "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count",
         "indexing_seconds": round(duration, 1),
         "throughput_mb_per_min": round(size_mb / (duration / 60), 2),
         "peak_rss_mb": round(peak_mb, 1),

From 78a027f440e1c094da78aee357aeb91ad48b2a0d Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:26:32 +0200
Subject: [PATCH 06/32] Keep memory attribution labels readable and document
 embedder diagnostic

---
 benchmarks/realtime-data-indexing/README.md   | 13 +++++---
 .../realtime-data-indexing/plot_results.py    | 30 ++++++++++++++-----
 2 files changed, 32 insertions(+), 11 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index ea1c5d1..661b3f6 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -70,14 +70,19 @@ docker compose build
 python rerun_all.py
 ```
 
-This runs 100mb → 1gb → 3gb → 10gb → 30gb → 50gb sequentially and then
+This runs 100mb → 1gb → 3gb → 10gb → 30gb → 50gb sequentially, records
+an eight-process local-embedder initialization diagnostic, and then
 calls `plot_results.py --update-readme`. Run it under nohup or tmux for the
 multi-hour sizes. Datasets remain on the chosen disk after completion;
 remove only this run's datasets when they are no longer needed.
 
 `plot_results.py` reads all six CSVs and summaries, validates their agreement,
 and generates both README images and the table. It also saves `derived.json`
-with the fitted file-watch estimate and peak-memory ratio. The pie uses
-measured private/shared pages; file-watch attribution is explicitly labeled
-as an estimate from rank-0 excess, not a separate allocation measurement.
+with the fitted file-watch estimate and peak-memory ratio. The pie separates
+estimated local-embedder private memory, measured shared embedding-library
+PSS, estimated file-watch memory, remaining private memory and other shared
+pages. It estimates what remains in the indexer with an external embedder,
+excluding the embedding service itself. Anonymous-memory attribution uses
+the separate diagnostic and remains an estimate; shared library pages come
+from the main run's mappings.
 See `results/README.md` for the recorded setup and attribution formula.
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 8389836..c60aa25 100644
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -151,7 +151,7 @@ def main():
                          "final_components": r["final_components"]} for r in runs]}
     (args.results / "derived.json").write_text(json.dumps(derived, indent=2) + "\n")
     args.assets.mkdir(parents=True, exist_ok=True)
-    fig, (ax, right) = plt.subplots(1, 2, figsize=(15, 4.8))
+    fig, (ax, right) = plt.subplots(1, 2, figsize=(13.5, 4.8))
     for run in runs:
         s = run["summary"]
         ax.plot([row["elapsed_s"] / 3600 for row in run["samples"]],
@@ -163,7 +163,8 @@ def main():
     x = np.linspace(0, files.max() * 1.05, 100)
     right.plot(x / 1000, (intercept + slope * x) / 1024**2, "--", color="#10a34a", label=f"fit: fixed overhead + ~{slope:.0f} bytes × files")
     for run, xx, yy in zip(runs, files / 1000, extra):
-        right.annotate(run["label"], (xx, yy), xytext=(5, 0), textcoords="offset points", fontsize=9)
+        dy = {'100mb': -16, '1gb': 0, '3gb': 12}.get(run['size'], 0)
+        right.annotate(run["label"], (xx, yy), xytext=(5, dy), textcoords="offset points", fontsize=9)
     right.set(title="File-watch memory proxy", xlabel="watched files, thousands", ylabel="extra private memory, MiB")
     right.legend(fontsize=8)
     for axes in (ax, right):
@@ -177,15 +178,30 @@ def main():
         ten['summary']['peak_pss_mb'] - c['local_embedder_private_mb_estimate'] - c['local_embedder_shared_libraries_mb'])
     (args.results / "derived.json").write_text(json.dumps(derived, indent=2) + "\n")
     values = list(c.values())
-    labels = ["Local embedder private memory\n(calibrated estimate)",
-              "Local embedder shared libraries\n(measured PSS)",
+    labels = ["Local embedder: private memory\n(calibrated estimate)",
+              "Local embedder: shared libraries\n(measured PSS)",
               "File-watch memory\n(rank-0 excess estimate)",
-              "Remaining indexer private memory\n(engine + buffers + supervisors; estimate)",
+              "Indexer: engine, buffers, supervisors\n(private memory; estimate)",
               "Other shared pages\n(measured PSS)"]
     labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
-    fig, ax = plt.subplots(figsize=(11, 6))
-    ax.pie(values, labels=labels, autopct="%1.0f%%", colors=["#5145ef", "#a5b4fc", "#10a34a", "#64748b", "#cbd5e1"],
+    fig, ax = plt.subplots(figsize=(11.5, 6.5))
+    wedges, _, _ = ax.pie(values, autopct=lambda p: f'{p:.0f}%' if p >= 6 else '',
+           startangle=90, colors=["#5145ef", "#a5b4fc", "#10a34a", "#64748b", "#cbd5e1"],
            wedgeprops={"edgecolor": "white"})
+    # Space callouts independently of tiny wedge angles, so shared-page and
+    # metadata labels remain readable without overlapping.
+    anchors = [(np.cos(np.deg2rad((w.theta1 + w.theta2) / 2)),
+                np.sin(np.deg2rad((w.theta1 + w.theta2) / 2))) for w in wedges]
+    for side in [-1, 1]:
+        indexes = sorted([i for i, (x, y) in enumerate(anchors) if (1 if x >= 0 else -1) == side],
+                         key=lambda i: anchors[i][1])
+        positions = np.linspace(-1.0, 1.0, len(indexes)) if len(indexes) > 1 else [0]
+        for index, y in zip(indexes, positions):
+            ax.annotate(labels[index], xy=anchors[index], xytext=(side * 1.4, y),
+                        ha='left' if side > 0 else 'right', va='center', fontsize=12,
+                        arrowprops={'arrowstyle': '-', 'color': '#64748b',
+                                    'connectionstyle': 'angle3,angleA=0,angleB=90'})
+    ax.set_xlim(-1.85, 1.85)
     ax.set_title(f"10 GB corpus: measured peak {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS\n"
                  f"Estimated indexer without local embedder: {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.1f} GiB")
     fig.tight_layout()

From 38ca0f036de1e905094f36b944f523202a717d3a Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:30:06 +0200
Subject: [PATCH 07/32] Record Qdrant image and include shared model mappings
 in embedder attribution

---
 benchmarks/realtime-data-indexing/results/run-environment.json | 3 ++-
 benchmarks/realtime-data-indexing/run_bench.py                 | 3 ++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/results/run-environment.json b/benchmarks/realtime-data-indexing/results/run-environment.json
index 7d80a10..2bc1265 100644
--- a/benchmarks/realtime-data-indexing/results/run-environment.json
+++ b/benchmarks/realtime-data-indexing/results/run-environment.json
@@ -19,5 +19,6 @@
     "BENCH_JEMALLOC_CONF": "background_thread:true",
     "BENCH_OMP_THREADS": "12",
     "COMPOSE_PROJECT_NAME": "serviette-consistency-bench"
-  }
+  },
+  "qdrant_image": "sha256:0ad2e23181e5646b286253c04cea23f07040ca313cc377d9fa7b21db184b6406"
 }
diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
index 84d38c6..e390b53 100644
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -52,7 +52,8 @@
             if parts and '-' in parts[0] and ':' not in parts[0]:
                 path = parts[-1] if len(parts) >= 6 else ''
                 group = 'embedding' if any(part in path for part in
-                    ('/torch/', '/nvidia/', '/triton/', '/sentence_transformers/', '/tokenizers/', '/safetensors/')) else 'other'
+                    ('/torch/', '/nvidia/', '/triton/', '/sentence_transformers/', '/tokenizers/', '/safetensors/',
+                     '/models--sentence-transformers--static-retrieval-mrl-en-v1/')) else 'other'
             elif line.startswith('Pss:'):
                 groups[group]['Pss'] += int(parts[1])
             elif line.startswith(('Private_Clean:', 'Private_Dirty:')):

From 821a4de45a5e39010d41e986a643bef8e0ff1419 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:31:52 +0200
Subject: [PATCH 08/32] Record the actual Qdrant image per measured size

---
 benchmarks/realtime-data-indexing/run_bench.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
index e390b53..bf5aa63 100644
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -422,6 +422,9 @@ def _chunks() -> int:
         "indexer_cpu_seconds": round(cpu_seconds, 1) if cpu_seconds else None,
         "avg_parallelism": round(cpu_seconds / duration, 1) if cpu_seconds else None,
         "vector_db_disk_mb": round(db_bytes / 1024 / 1024, 1) if db_bytes else None,
+        "qdrant_image_id": subprocess.check_output(
+            ["docker", "inspect", "--format", "{{.Image}}", qdrant], text=True
+        ).strip(),
         "vector_db_mb_per_corpus_mb": (
             round(db_bytes / 1024 / 1024 / size_mb, 2) if db_bytes else None
         ),

From fc31df4299ca16b8b2dcb4e32add7cffbba80985 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:44:52 +0200
Subject: [PATCH 09/32] Save complete 3 GiB target run and validate memory
 attribution totals

---
 .../measure_embedder.py                       |   9 +-
 .../realtime-data-indexing/plot_results.py    |   3 +-
 .../realtime-data-indexing/rerun_all.py       |   4 +-
 .../results/3gb-compose.json                  | 170 ++++++++++++
 .../results/3gb-memory.csv                    | 239 +++++++++++++++++
 .../results/3gb-memory.png                    | Bin 0 -> 74301 bytes
 .../results/3gb-processes.jsonl.gz            | Bin 0 -> 53816 bytes
 .../results/3gb-summary.json                  | 249 ++++++++++++++++++
 .../realtime-data-indexing/results/README.md  |   1 +
 .../realtime-data-indexing/run_bench.py       | 122 ++++-----
 10 files changed, 730 insertions(+), 67 deletions(-)
 mode change 100644 => 100755 benchmarks/realtime-data-indexing/measure_embedder.py
 mode change 100644 => 100755 benchmarks/realtime-data-indexing/plot_results.py
 mode change 100644 => 100755 benchmarks/realtime-data-indexing/rerun_all.py
 create mode 100644 benchmarks/realtime-data-indexing/results/3gb-compose.json
 create mode 100644 benchmarks/realtime-data-indexing/results/3gb-memory.csv
 create mode 100644 benchmarks/realtime-data-indexing/results/3gb-memory.png
 create mode 100644 benchmarks/realtime-data-indexing/results/3gb-processes.jsonl.gz
 create mode 100644 benchmarks/realtime-data-indexing/results/3gb-summary.json
 mode change 100644 => 100755 benchmarks/realtime-data-indexing/run_bench.py

diff --git a/benchmarks/realtime-data-indexing/measure_embedder.py b/benchmarks/realtime-data-indexing/measure_embedder.py
old mode 100644
new mode 100755
index f9a1f83..0810a8a
--- a/benchmarks/realtime-data-indexing/measure_embedder.py
+++ b/benchmarks/realtime-data-indexing/measure_embedder.py
@@ -13,10 +13,10 @@
 import gc
 import json
 import os
-from pathlib import Path
 import subprocess
 import sys
 import time
+from pathlib import Path
 
 
 def snapshot():
@@ -30,10 +30,11 @@ def snapshot():
 
 def worker(rank, directory, config):
     # Match modules used by the actual indexer before constructing the model.
-    from serviette.indexer.graph import build_xpack_embedder
-    from serviette.config.schema import EmbedderConfig
-    from pathway.xpacks.llm import embedders  # noqa: F401
     import yaml
+    from pathway.xpacks.llm import embedders  # noqa: F401
+
+    from serviette.config.schema import EmbedderConfig
+    from serviette.indexer.graph import build_xpack_embedder
     cfg = EmbedderConfig(**yaml.safe_load(config.read_text())['embedder'])
     stages = ['baseline', 'runtime', 'model_warm', 'model_released']
     for stage in stages:
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
old mode 100644
new mode 100755
index c60aa25..af9948a
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -6,10 +6,11 @@
 import csv
 import gzip
 import json
-from pathlib import Path
 import statistics
+from pathlib import Path
 
 import matplotlib
+
 matplotlib.use("Agg")
 import matplotlib.pyplot as plt
 import numpy as np
diff --git a/benchmarks/realtime-data-indexing/rerun_all.py b/benchmarks/realtime-data-indexing/rerun_all.py
old mode 100644
new mode 100755
index cc168b7..2276ddf
--- a/benchmarks/realtime-data-indexing/rerun_all.py
+++ b/benchmarks/realtime-data-indexing/rerun_all.py
@@ -7,10 +7,10 @@
 import gzip
 import json
 import os
-from pathlib import Path
 import platform
 import subprocess
 import sys
+from pathlib import Path
 
 ROOT = Path(__file__).resolve().parent
 SIZES = [("100mb", 100), ("1gb", 1000), ("3gb", 3000),
@@ -58,7 +58,7 @@ def output(cmd):
             subprocess.run([sys.executable, str(ROOT / "run_bench.py"), "--size", size], check=True)
         except BaseException:
             logs = subprocess.run(["docker", "compose", "logs", "--no-color"],
-                                  cwd=ROOT, capture_output=True, text=True)
+                                  cwd=ROOT, capture_output=True, text=True, check=False)
             with gzip.open(results / f"{size}-failure.txt.gz", "wt") as fh:
                 fh.write(logs.stdout + logs.stderr)
             raise
diff --git a/benchmarks/realtime-data-indexing/results/3gb-compose.json b/benchmarks/realtime-data-indexing/results/3gb-compose.json
new file mode 100644
index 0000000..de20431
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/3gb-compose.json
@@ -0,0 +1,170 @@
+{
+  "name": "serviette-consistency-bench",
+  "networks": {
+    "default": {
+      "name": "serviette-consistency-bench_default",
+      "ipam": {}
+    }
+  },
+  "services": {
+    "indexer": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "indexer",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OMP_NUM_THREADS": "12",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/3gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    },
+    "qdrant": {
+      "command": null,
+      "entrypoint": null,
+      "image": "qdrant/qdrant:latest",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 6333,
+          "published": "8301",
+          "protocol": "tcp"
+        }
+      ]
+    },
+    "server": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "server",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 8000,
+          "published": "8300",
+          "protocol": "tcp"
+        }
+      ],
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/3gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    }
+  },
+  "x-serviette": {
+    "build": {
+      "context": "../..",
+      "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+    },
+    "environment": {
+      "HF_HOME": "/hf-cache",
+      "HF_HUB_OFFLINE": "1",
+      "MALLOC_ARENA_MAX": "",
+      "OPENAI_API_KEY": "x",
+      "PATHWAY_LICENSE_KEY": "PV3L-4L4N-TF7R-JWM7-LKVK-PX3E-FHTX-KMNC",
+      "_RJEM_MALLOC_CONF": "background_thread:true"
+    },
+    "image": "serviette-bench",
+    "volumes": [
+      "~/.cache/huggingface:/hf-cache:ro",
+      "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/3gb/docs:/data/docs:ro",
+      "./config.yaml:/bench/config.yaml:ro"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/3gb-memory.csv b/benchmarks/realtime-data-indexing/results/3gb-memory.csv
new file mode 100644
index 0000000..4af1c53
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/3gb-memory.csv
@@ -0,0 +1,239 @@
+elapsed_s,rss_mb,hwm_mb,pss_mb,chunks
+11.3,1160.8,1160.8,916.3,0
+14.9,2899.9,2903.6,1955.7,0
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+79.0,11173.5,11175.5,6895.8,126681
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z-)%~43ZGZEu`;@~-tUsNN3DH!z*1bk%k{b~1G|)uE{8vwiH;~&CUXs{PbXpXL18B1
z_hjZGq!l{=uoQ@NMeH(=AsT4q3ogr_&X^;=hHwo=jwS5<9;OA<E}-%I>eo<x`xE$G
z%H1wkr!jiji@uk(W+5$6!#Gfq_J@$3c`6TWaBA=FbV3%Mp7czwWE*R%nKob{^IPGL
zEhnTvTqL7JgdZ$r#rh2;dOu`MF;C}fau>e7rRkHu<r{B@AvfGgHLAUQ$-M0eztCRI
zha%yVWMJf&1n|#kHsZe{!~9IZIZ3vtmj8hJg{b9yZXELIZ*$H96hRUeI=OeH+?cyY
zEu3hLMiC`CVhAU%6GiTgc73qvmD*dcbj43+bHk6xHdu67Yj(hFsA+&SNkI~N`X7?`
zh9=+@?~3dh<|YoJ&>RrO7QQRu?tr9_kZU?*Om}ZkxZ(&Bkacr{W-ho^;{AW<F<zL1
z%II0qv<?5`C|-%j!oO>unuEK~$ytWd8$X)&UyOX~Ui)F5RO{AN2~j5K+ToKWD%PvK
z&Opyr2xGSmEbi7bYV<zr=(?t$7fRtAH~P&zYVjhOE=}dZquj|fSqJ5gS|@NX1l-(_
z(5eZ&W$}RUfd%+iz7T;!H;ocSDDjO!gG<`Im3AJBK19j+?a^LC88F=Q^`+?()Fn;_
zhrMMaH!=ahib-;Yq|N2(iLc&}8_QR$<OSc0E<}Fv_Tfx4EB32~$8H?1Crw4>NX8;1
zV}V-VD&u0Hwj-Q9)jjh*t3v%x!w<2AlCE`1bJk5|Xf$j)pUsR+r*Tpf(=VOIS*M9x
z+OwI|^gcZ<CO8SOG>^GJz`k<=KX0oMk8`xGwh08{wP%u@er;^6%1o;cb1ctvPJ{Hg
z;q{3&4wUnUw7H=@$9Pv}B|A5@&gX^}-Oftg-!GXNX{bem&-Z>P7)@2sNP$SZj7J-(
zAuQtckU()65vukqYEk88Tr&!S$#FM9_n>UOk0;{cP~IVg&L4pH%;UUrey^V;9W4~C
zzvdLr&g^Yo7gQm0JM<B+_v#b`IDj_1=pbmHm7LTBwUsJ_r+$y|LYjwlrLsn-X_!Py
zKQ-`jfaGhTXH+KZI0yGE6A+)j*0lQEqH8MNoq>9^Bg*<IEAo2bqu~Snj>y^WrAB7O
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yHCn1<AYbA@k;VK-v^)?w+B=$^^dBpv#~$gyfxk9ZuT_yvF=3BOCd8XR!2A!}$h;o_

literal 0
HcmV?d00001

diff --git a/benchmarks/realtime-data-indexing/results/3gb-summary.json b/benchmarks/realtime-data-indexing/results/3gb-summary.json
new file mode 100644
index 0000000..c02e552
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/3gb-summary.json
@@ -0,0 +1,249 @@
+{
+  "dataset": "3gb",
+  "corpus_mb": 3000.0,
+  "documents": 841890,
+  "chunks": 1888846,
+  "max_observed_chunks": 1895558,
+  "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count",
+  "indexing_seconds": 921.9,
+  "throughput_mb_per_min": 195.26,
+  "peak_rss_mb": 11651.3,
+  "peak_pss_mb": 7351.8,
+  "peak_processes": [
+    {
+      "pid": 1,
+      "worker_rank": null,
+      "VmHWM": 1025036,
+      "VmRSS": 1025036,
+      "Pss": 660185,
+      "Private_Clean": 220,
+      "Private_Dirty": 617688,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 49740,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 609922,
+          "private_kb": 598064
+        }
+      }
+    },
+    {
+      "pid": 131,
+      "worker_rank": null,
+      "VmHWM": 199100,
+      "VmRSS": 199100,
+      "Pss": 123689,
+      "Private_Clean": 64,
+      "Private_Dirty": 114400,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 0,
+          "private_kb": 0
+        },
+        "other": {
+          "Pss": 123477,
+          "private_kb": 114464
+        }
+      }
+    },
+    {
+      "pid": 159,
+      "worker_rank": 0,
+      "VmHWM": 1637576,
+      "VmRSS": 1637428,
+      "Pss": 1139125,
+      "Private_Clean": 828,
+      "Private_Dirty": 1074948,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 50787,
+          "private_kb": 19876
+        },
+        "other": {
+          "Pss": 1087818,
+          "private_kb": 1055900
+        }
+      }
+    },
+    {
+      "pid": 160,
+      "worker_rank": 1,
+      "VmHWM": 1294400,
+      "VmRSS": 1291236,
+      "Pss": 802754,
+      "Private_Clean": 1520,
+      "Private_Dirty": 740340,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 48696,
+          "private_kb": 19852
+        },
+        "other": {
+          "Pss": 753542,
+          "private_kb": 722008
+        }
+      }
+    },
+    {
+      "pid": 161,
+      "worker_rank": 2,
+      "VmHWM": 1302396,
+      "VmRSS": 1299492,
+      "Pss": 803531,
+      "Private_Clean": 472,
+      "Private_Dirty": 737176,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 53353,
+          "private_kb": 19848
+        },
+        "other": {
+          "Pss": 749662,
+          "private_kb": 717800
+        }
+      }
+    },
+    {
+      "pid": 162,
+      "worker_rank": 3,
+      "VmHWM": 1301700,
+      "VmRSS": 1297924,
+      "Pss": 799329,
+      "Private_Clean": 68,
+      "Private_Dirty": 736416,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 50167,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 748644,
+          "private_kb": 716640
+        }
+      }
+    },
+    {
+      "pid": 163,
+      "worker_rank": 4,
+      "VmHWM": 1301564,
+      "VmRSS": 1297204,
+      "Pss": 799480,
+      "Private_Clean": 352,
+      "Private_Dirty": 737080,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 49783,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 749179,
+          "private_kb": 717588
+        }
+      }
+    },
+    {
+      "pid": 164,
+      "worker_rank": 5,
+      "VmHWM": 1301196,
+      "VmRSS": 1297240,
+      "Pss": 802992,
+      "Private_Clean": 788,
+      "Private_Dirty": 736188,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 53088,
+          "private_kb": 20188
+        },
+        "other": {
+          "Pss": 749392,
+          "private_kb": 716788
+        }
+      }
+    },
+    {
+      "pid": 165,
+      "worker_rank": 6,
+      "VmHWM": 1302524,
+      "VmRSS": 1298364,
+      "Pss": 798797,
+      "Private_Clean": 88,
+      "Private_Dirty": 736192,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 49759,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 748518,
+          "private_kb": 716436
+        }
+      }
+    },
+    {
+      "pid": 166,
+      "worker_rank": 7,
+      "VmHWM": 1291068,
+      "VmRSS": 1287936,
+      "Pss": 798411,
+      "Private_Clean": 668,
+      "Private_Dirty": 735888,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 49272,
+          "private_kb": 20140
+        },
+        "other": {
+          "Pss": 748626,
+          "private_kb": 716416
+        }
+      }
+    }
+  ],
+  "peak_elapsed_s": 935.7114451080561,
+  "jemalloc_conf": "background_thread:true",
+  "omp_threads": 12,
+  "indexer_cpu_seconds": 9358.7,
+  "avg_parallelism": 10.2,
+  "vector_db_disk_mb": 5010.6,
+  "vector_db_mb_per_corpus_mb": 1.67,
+  "retrieval_accuracy": "17/20",
+  "embedder": "sentence-transformers/static-retrieval-mrl-en-v1 (local, 256 dims)",
+  "approx_text_pages": 1572864,
+  "accuracy_misses": [
+    {
+      "expected": "0003/6000-Black-capped-fruit-bat.txt",
+      "query": "Black-capped fruit bat: The black-capped fruit bat (Chironax melanocephalus) is a species of megabat in the monotypic ge",
+      "got": [
+        "0033/2843-Black-winged-little-yellow-bat.txt",
+        "0083/8702-Wrinkle-faced-bat.txt",
+        "0046/2629-Antillean-fruit-eating-bat.txt",
+        "0083/8676-Honduran-fruit-eating-bat.txt",
+        "0083/9282-Hairy-little-fruit-bat.txt"
+      ]
+    },
+    {
+      "expected": "0004/4000-Fat-tailed-distribution.txt",
+      "query": "Fat-tailed distribution: A fat-tailed distribution is a probability distribution that exhibits a large skewness or kurto",
+      "got": [
+        "0045/5196-Heavy-tailed-distribution.txt",
+        "0045/5196-Heavy-tailed-distribution.txt",
+        "0075/4783-Truncated-normal-distribution.txt",
+        "0056/6873-Normal-gamma-distribution.txt",
+        "0064/4419-Shape-of-a-probability-distribution.txt"
+      ]
+    },
+    {
+      "expected": "0005/6000-Jamie-Mueller.txt",
+      "query": "Jamie Mueller: Jamie F.",
+      "got": [
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0039/1332-Jamieson.txt",
+        "0000/6975-Jamie.txt"
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index e299154..5d63429 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -12,6 +12,7 @@ Completed:
 |---|---|---|---|---|---|---|
 | 100 MB | 12 969 | 53 651 | 44.0 s | 6.86 | 0.61 | 5/5 |
 | 1 GB | 240 516 | 604 299 | 293.6 s | 6.82 | 1.85 | 18/20 |
+| 3 GB | 841 890 | 1 888 846 | 921.9 s | 7.18 | 4.89 | 17/20 |
 
 The old 100 MB row reported 66,136 chunks, 39 s, 6.6 GB peak PSS and
 0.6 GB Qdrant storage. The file count is unchanged. The entire corpus was
diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
old mode 100644
new mode 100755
index bf5aa63..3b604e7
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -114,6 +114,7 @@ def _proc_status(container: str) -> dict | None:
         ["docker", "exec", container, "python", "-c", PROC_SAMPLE],
         capture_output=True,
         text=True,
+        check=False,
     )
     if proc.returncode != 0:
         return None
@@ -136,6 +137,7 @@ def _proc_cpu_seconds(container: str) -> float | None:
         ["docker", "exec", container, "sh", "-c", "cat /proc/[0-9]*/stat"],
         capture_output=True,
         text=True,
+        check=False,
     )
     if proc.returncode != 0:
         return None
@@ -320,68 +322,67 @@ def _chunks() -> int:
     process_path = results_dir / f"{args.size}-processes.jsonl.gz"
     peak_processes = []
     peak_pss_kb = -1
-    process_log = gzip.open(process_path, "wt")
-
-    samples: list[tuple[float, int, int, int, int]] = []  # (s, rss, hwm, pss, chunks)
-    last_count = 0
-    last_change = started
-    last_busy = started
-    prev_cpu: float | None = None
-    prev_time = started
-    cpu_seconds: float | None = None
-    while True:
-        status = _proc_status(indexer)
-        if status is None:
-            _compose("logs", "--tail", "50", "indexer", size=args.size)
-            raise SystemExit("indexer container exited unexpectedly")
-        now = time.monotonic()
-        count = _chunks()
-        if count > last_count:
-            last_count = count
-            last_change = now
-        cpu = _proc_cpu_seconds(indexer)
-        if cpu is not None:
-            if prev_cpu is not None and now > prev_time:
-                if (cpu - prev_cpu) / (now - prev_time) >= IDLE_CORES:
+    with gzip.open(process_path, "wt") as process_log:
+
+        samples: list[tuple[float, int, int, int, int]] = []  # (s, rss, hwm, pss, chunks)
+        last_count = 0
+        last_change = started
+        last_busy = started
+        prev_cpu: float | None = None
+        prev_time = started
+        cpu_seconds: float | None = None
+        while True:
+            status = _proc_status(indexer)
+            if status is None:
+                _compose("logs", "--tail", "50", "indexer", size=args.size)
+                raise SystemExit("indexer container exited unexpectedly")
+            now = time.monotonic()
+            count = _chunks()
+            if count > last_count:
+                last_count = count
+                last_change = now
+            cpu = _proc_cpu_seconds(indexer)
+            if cpu is not None:
+                if (prev_cpu is not None and now > prev_time
+                        and (cpu - prev_cpu) / (now - prev_time) >= IDLE_CORES):
                     last_busy = now
-            prev_cpu, prev_time, cpu_seconds = cpu, now, cpu
-        elapsed = now - started
-        sample = (
-            elapsed,
-            status.get("VmRSS", 0),
-            status.get("VmHWM", 0),
-            status.get("Pss", 0),
-            last_count,
-        )
-        samples.append(sample)
-        process_log.write(json.dumps({"elapsed_s": elapsed, "processes": status["processes"]}) + "\n")
-        process_log.flush()
-        if sample[3] > peak_pss_kb:
-            peak_pss_kb = sample[3]
-            peak_processes = status["processes"]
-        with csv_path.open("a") as fh:
-            fh.write(
-                f"{sample[0]:.1f},{sample[1] / 1024:.1f},{sample[2] / 1024:.1f},"
-                f"{sample[3] / 1024:.1f},{sample[4]}\n"
+                prev_cpu, prev_time, cpu_seconds = cpu, now, cpu
+            elapsed = now - started
+            sample = (
+                elapsed,
+                status.get("VmRSS", 0),
+                status.get("VmHWM", 0),
+                status.get("Pss", 0),
+                last_count,
             )
-        print(
-            f"\r   t={elapsed:7.0f}s  rss={status.get('VmRSS', 0) / 1024:7.1f} MB  "
-            f"peak={status.get('VmHWM', 0) / 1024:7.1f} MB  chunks={last_count}",
-            end="",
-            flush=True,
-        )
-        if (
-            # Every document yields at least one chunk, so completion is
-            # impossible before the counter reaches the document count —
-            # this cleanly excludes the low-CPU initial-scan phase.
-            last_count >= docs_count
-            and now - last_change >= STABLE_WINDOW
-            and now - last_busy >= STABLE_WINDOW
-        ):
-            break
-        time.sleep(SAMPLE_INTERVAL)
-    print()
-    process_log.close()
+            samples.append(sample)
+            process_log.write(json.dumps({"elapsed_s": elapsed, "processes": status["processes"]}) + "\n")
+            process_log.flush()
+            if sample[3] > peak_pss_kb:
+                peak_pss_kb = sample[3]
+                peak_processes = status["processes"]
+            with csv_path.open("a") as fh:
+                fh.write(
+                    f"{sample[0]:.1f},{sample[1] / 1024:.1f},{sample[2] / 1024:.1f},"
+                    f"{sample[3] / 1024:.1f},{sample[4]}\n"
+                )
+            print(
+                f"\r   t={elapsed:7.0f}s  rss={status.get('VmRSS', 0) / 1024:7.1f} MB  "
+                f"peak={status.get('VmHWM', 0) / 1024:7.1f} MB  chunks={last_count}",
+                end="",
+                flush=True,
+            )
+            if (
+                # Every document yields at least one chunk, so completion is
+                # impossible before the counter reaches the document count —
+                # this cleanly excludes the low-CPU initial-scan phase.
+                last_count >= docs_count
+                and now - last_change >= STABLE_WINDOW
+                and now - last_busy >= STABLE_WINDOW
+            ):
+                break
+            time.sleep(SAMPLE_INTERVAL)
+        print()
     duration = last_change - started
 
     # Vector-DB footprint: on-disk storage inside the qdrant container.
@@ -390,6 +391,7 @@ def _chunks() -> int:
         ["docker", "exec", qdrant, "du", "-sb", "/qdrant/storage"],
         capture_output=True,
         text=True,
+        check=False,
     )
     db_bytes = int(du.stdout.split()[0]) if du.returncode == 0 and du.stdout else None
 

From 49205b978025ef7e3e47d9783fcb1d9dfb64b29f Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:48:35 +0200
Subject: [PATCH 10/32] Clarify nominal corpus targets and shared per-worker
 embedding memory

---
 benchmarks/realtime-data-indexing/plot_results.py | 4 ++--
 docs/README.md                                    | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index af9948a..ad0af3e 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -116,7 +116,7 @@ def load(results):
 
 
 def table(runs):
-    lines = ["| corpus | ≈ pages | files | chunks | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |",
+    lines = ["| corpus target | ≈ pages | files | chunks | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |",
              "|---|---|---|---|---|---|---|"]
     for run in runs:
         s = run["summary"]
@@ -264,7 +264,7 @@ def main():
     if args.update_readme:
         readme = REPO / "README.md"
         text = readme.read_text()
-        start = text.index("| corpus |", text.index("### Indexing resources"))
+        start = text.index("| corpus", text.index("### Indexing resources"))
         end = text.index("### Retrieval accuracy", start)
         versions = environment["versions"]
         replacement = f"""{published_table}
diff --git a/docs/README.md b/docs/README.md
index f0d1d74..f6d479b 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -248,7 +248,7 @@ string, which would only surface later as a provider 401).
 | `splitter.chunk_size` | int | `512` | indexer | Max chunk size (tokens). |
 | `splitter.chunk_overlap` | int | `50` | indexer | Overlap (used by `recursive`). |
 | `indexer.fetch_retries` | int | `3` | indexer | Retries (exponential backoff from 1s) of a document's byte fetch before it is given up on: indexed as empty and ERROR-logged. Remote sources fail transiently under bulk backfills. |
-| `indexer.workers` | int | `1` | indexer | Worker **processes** (sharded via `pathway spawn`). Raise for large backfills — each worker carries its own embedding stack (~1 GB with local embeddings); the benchmarks run with `8`. |
+| `indexer.workers` | int | `1` | indexer | Worker **processes** (sharded via `pathway spawn`). Raise for large backfills — each worker carries its own local embedding stack; memory depends on the model, and library pages may be shared. The benchmarks run with `8`. |
 | `workdir_path` | str | `./serviette-workdir` | indexer | serviette's working directory — everything it keeps between runs: the configuration fingerprint at its top level, the Pathway persistence state (and the parse cache, `runtime_calls/`) under `persistence/`. Relative to the process's working directory. Silent default — the wizard does not ask. |
 | `persistence.enabled` | bool | `true` | indexer | See [Persistence](#5-persistence). |
 | `persistence.backend` | `filesystem` | `filesystem` | indexer | Persistence backend. |

From 3df7cf55ca43e44c44f514b0c55d5c0098722b4f Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:52:28 +0200
Subject: [PATCH 11/32] Include parser and splitter allocations in
 remote-embedder baseline

---
 .../realtime-data-indexing/measure_embedder.py   | 16 ++++++++++++----
 .../realtime-data-indexing/plot_results.py       |  1 +
 2 files changed, 13 insertions(+), 4 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/measure_embedder.py b/benchmarks/realtime-data-indexing/measure_embedder.py
index 0810a8a..ac1a08f 100755
--- a/benchmarks/realtime-data-indexing/measure_embedder.py
+++ b/benchmarks/realtime-data-indexing/measure_embedder.py
@@ -33,9 +33,17 @@ def worker(rank, directory, config):
     import yaml
     from pathway.xpacks.llm import embedders  # noqa: F401
 
-    from serviette.config.schema import EmbedderConfig
-    from serviette.indexer.graph import build_xpack_embedder
-    cfg = EmbedderConfig(**yaml.safe_load(config.read_text())['embedder'])
+    from serviette.config.schema import EmbedderConfig, SplitterConfig
+    from serviette.indexer.graph import ParserRegistry, build_xpack_embedder, build_xpack_splitter
+    settings = yaml.safe_load(config.read_text())
+    cfg = EmbedderConfig(**settings['embedder'])
+    # These remain necessary with a remote embedder. Include their lazy
+    # imports and tokenizer allocations in the pre-embedder baseline.
+    parser = ParserRegistry()
+    splitter = build_xpack_splitter(SplitterConfig(**settings['splitter']))
+    text = 'Wikipedia articles describe history, science and geography. ' * 70
+    parsed = parser.parse(text.encode(), '.txt')
+    assert splitter.chunk(parsed)
     stages = ['baseline', 'runtime', 'model_warm', 'model_released']
     for stage in stages:
         while not (directory / f'{stage}.go').exists():
@@ -44,7 +52,6 @@ def worker(rank, directory, config):
             import sentence_transformers  # noqa: F401
         elif stage == 'model_warm':
             embedder = build_xpack_embedder(cfg)
-            text = 'Wikipedia articles describe history, science and geography. ' * 70
             for _ in range(3):
                 vectors = embedder.__wrapped__([text] * cfg.batch_size)
                 assert len(vectors[0]) == 256
@@ -77,6 +84,7 @@ def main():
                                 env={**os.environ, 'PATHWAY_PROCESS_ID': str(rank)},
                                 stdout=sys.stderr) for rank in range(8)]
     result = {'description': __doc__, 'workers': 8,
+              'baseline_includes': 'graph imports, UTF-8 parser, initialized and warmed configured splitter',
               'jemalloc_conf': os.environ.get('_RJEM_MALLOC_CONF'),
               'omp_threads': os.environ.get('OMP_NUM_THREADS'), 'stages': {}}
     try:
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index ad0af3e..9bb2498 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -242,6 +242,7 @@ def main():
 fixed overhead estimate {intercept / 1024**2:.1f} MiB).
 The pie attributes local-embedding private memory using an eight-process
 controlled diagnostic in the same image: graph imports before the embedder,
+UTF-8 parser and configured splitter initialized and warmed, embedding
 runtime imported, model loaded and warmed on three 2,048-text batches, then
 model released. `embedder-calibration.json` records all stages. The private
 increment after warming estimates the local stack's private cost across eight

From 6f023b1c47edb6beac7fe13b0d6ec99e14959c9f Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:54:04 +0200
Subject: [PATCH 12/32] Retain shared libraries already needed by parser in
 remote baseline estimate

---
 .../realtime-data-indexing/measure_embedder.py    | 15 +++++++++++++++
 benchmarks/realtime-data-indexing/plot_results.py |  5 ++++-
 2 files changed, 19 insertions(+), 1 deletion(-)

diff --git a/benchmarks/realtime-data-indexing/measure_embedder.py b/benchmarks/realtime-data-indexing/measure_embedder.py
index ac1a08f..648da1c 100755
--- a/benchmarks/realtime-data-indexing/measure_embedder.py
+++ b/benchmarks/realtime-data-indexing/measure_embedder.py
@@ -25,6 +25,21 @@ def snapshot():
         if line.startswith(('Pss:', 'Private_Clean:', 'Private_Dirty:')):
             key, value = line.split(':', 1)
             result[key] = int(value.split()[0])
+    embedding_pss = embedding_private = 0
+    embedding = False
+    for line in Path('/proc/self/smaps').read_text().splitlines():
+        parts = line.split()
+        if parts and '-' in parts[0] and ':' not in parts[0]:
+            path = parts[-1] if len(parts) >= 6 else ''
+            embedding = any(part in path for part in
+                ('/torch/', '/nvidia/', '/triton/', '/sentence_transformers/',
+                 '/tokenizers/', '/safetensors/',
+                 '/models--sentence-transformers--static-retrieval-mrl-en-v1/'))
+        elif embedding and line.startswith('Pss:'):
+            embedding_pss += int(parts[1])
+        elif embedding and line.startswith(('Private_Clean:', 'Private_Dirty:')):
+            embedding_private += int(parts[1])
+    result['embedding_shared_kb'] = max(0, embedding_pss - embedding_private)
     return result
 
 
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 9bb2498..f20515f 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -76,6 +76,9 @@ def private_total(stage):
     embedding_private = min(worker_embedder_private, c['workers_private_mb'] - baseline)
     embedding_shared = sum(max(0, p['mapping_groups']['embedding']['Pss'] -
         p['mapping_groups']['embedding']['private_kb']) for p in processes) / 1024
+    shared_increment = (sum(p['embedding_shared_kb'] for p in calibration['stages']['model_warm']) -
+                        sum(p['embedding_shared_kb'] for p in calibration['stages']['baseline'])) / 1024
+    embedding_shared = min(embedding_shared, max(0, shared_increment))
     metadata = c['connector_extra_mb_estimate']
     remaining_private = c['workers_private_mb'] + c['supervisors_private_mb'] - embedding_private
     other_shared = c['shared_pss_mb'] - embedding_shared
@@ -137,7 +140,7 @@ def main():
     calibration = json.loads((args.results / 'embedder-calibration.json').read_text())
     if (calibration['image'] != environment['image'] or calibration['workers'] != 8
             or calibration['jemalloc_conf'] != 'background_thread:true'
-            or calibration['omp_threads'] != '12'):
+            or calibration['omp_threads'] != '12' or 'baseline_includes' not in calibration):
         raise ValueError('Embedder diagnostic and indexing runs have different setups')
     c = embedder_breakdown(ten, calibration)
     files = np.array([r["summary"]["documents"] for r in runs], dtype=float)

From 0180ba573ef7f175c1d60fe2280e4998425776af Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 21:55:26 +0200
Subject: [PATCH 13/32] Label calibrated shared-library attribution as an
 estimate

---
 benchmarks/realtime-data-indexing/plot_results.py | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index f20515f..cb1c0d0 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -183,10 +183,10 @@ def main():
     (args.results / "derived.json").write_text(json.dumps(derived, indent=2) + "\n")
     values = list(c.values())
     labels = ["Local embedder: private memory\n(calibrated estimate)",
-              "Local embedder: shared libraries\n(measured PSS)",
+              "Local embedder: shared libraries\n(mapping/calibration estimate)",
               "File-watch memory\n(rank-0 excess estimate)",
               "Indexer: engine, buffers, supervisors\n(private memory; estimate)",
-              "Other shared pages\n(measured PSS)"]
+              "Other shared pages\n(PSS residual)"]
     labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
     fig, ax = plt.subplots(figsize=(11.5, 6.5))
     wedges, _, _ = ax.pie(values, autopct=lambda p: f'{p:.0f}%' if p >= 6 else '',
@@ -253,8 +253,10 @@ def main():
 minus the calibrated pre-embedder baseline, since live and diagnostic buffers
 have different lifetimes. Supervisor private pages are left in the residual;
 any embedding allocations there are not subtracted speculatively.
-Shared embedding-library PSS comes directly from mapping samples
-at the 10 GB peak, with other shared pages separated. Anonymous attribution
+Shared embedding-library PSS starts from mapping samples at the 10 GB peak
+and is capped by the diagnostic's shared-library increment, so libraries
+already needed by the parser are retained in the residual. Other shared
+pages are separated. Anonymous attribution
 and the indexer-without-local-embedder figure are estimates, not an actual
 external-service benchmark; client overhead and changes in working buffers
 are not measured. The embedding service's own memory is outside that figure.
@@ -298,9 +300,9 @@ def main():
 <p align="center"><em>All curves and table values come from the same runs with allocator background purging enabled. File-watch memory is estimated from rank-0 private-memory excess over the median of the other workers.</em></p>
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS peak: estimated local-embedder private memory, measured shared embedding libraries, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
+  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
 </p>
-<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder private memory is estimated from a separate eight-process initialization diagnostic; shared library PSS is measured from mappings. Without the local embedder the indexer's footprint is estimated at {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.1f} GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
+<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. Without the local embedder the indexer's footprint is estimated at {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.1f} GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
 
 Setup: {environment['logical_cpus']}-logical-CPU host (see the saved CPU model),
 streaming mode, 8 worker processes with 12 OpenMP threads each,

From 95826440b92f51fc6871b6ab31998fdbedeea2fd Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 22:02:32 +0200
Subject: [PATCH 14/32] Allow reviewing the measured 10 GB breakdown before the
 full series completes

---
 .../realtime-data-indexing/plot_results.py    | 100 +++++++++++-------
 1 file changed, 63 insertions(+), 37 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index cb1c0d0..0750b49 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -91,9 +91,9 @@ def private_total(stage):
             'other_shared_mb': max(0, other_shared)}
 
 
-def load(results):
+def load(results, sizes=SIZES):
     runs = []
-    for size, label in SIZES:
+    for size, label in sizes:
         summary = json.loads((results / f"{size}-summary.json").read_text())
         with (results / f"{size}-memory.csv").open() as fh:
             samples = [{k: float(v) for k, v in row.items()} for row in csv.DictReader(fh)]
@@ -128,20 +128,74 @@ def table(runs):
     return "\n".join(lines)
 
 
+def load_calibration(results, environment):
+    calibration = json.loads((results / 'embedder-calibration.json').read_text())
+    if (calibration['image'] != environment['image'] or calibration['workers'] != 8
+            or calibration['jemalloc_conf'] != 'background_thread:true'
+            or calibration['omp_threads'] != '12' or 'baseline_includes' not in calibration):
+        raise ValueError('Embedder diagnostic and indexing runs have different setups')
+    return calibration
+
+
+def draw_breakdown(ten, c, remaining_mb, output_path):
+    values = list(c.values())
+    labels = ["Local embedder: private memory\n(calibrated estimate)",
+              "Local embedder: shared libraries\n(mapping/calibration estimate)",
+              "File-watch memory\n(rank-0 excess estimate)",
+              "Indexer: engine, buffers, supervisors\n(private memory; estimate)",
+              "Other shared pages\n(PSS residual)"]
+    labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
+    fig, ax = plt.subplots(figsize=(11.5, 6.5))
+    wedges, _, _ = ax.pie(values, autopct=lambda p: f'{p:.0f}%' if p >= 6 else '',
+           startangle=90, colors=["#5145ef", "#a5b4fc", "#10a34a", "#64748b", "#cbd5e1"],
+           wedgeprops={"edgecolor": "white"})
+    # Space callouts independently of tiny wedge angles, so shared-page and
+    # metadata labels remain readable without overlapping.
+    anchors = [(np.cos(np.deg2rad((w.theta1 + w.theta2) / 2)),
+                np.sin(np.deg2rad((w.theta1 + w.theta2) / 2))) for w in wedges]
+    for side in [-1, 1]:
+        indexes = sorted([i for i, (x, y) in enumerate(anchors) if (1 if x >= 0 else -1) == side],
+                         key=lambda i: anchors[i][1])
+        positions = np.linspace(-1.0, 1.0, len(indexes)) if len(indexes) > 1 else [0]
+        for index, y in zip(indexes, positions):
+            ax.annotate(labels[index], xy=anchors[index], xytext=(side * 1.4, y),
+                        ha='left' if side > 0 else 'right', va='center', fontsize=12,
+                        arrowprops={'arrowstyle': '-', 'color': '#64748b',
+                                    'connectionstyle': 'angle3,angleA=0,angleB=90'})
+    ax.set_xlim(-1.85, 1.85)
+    ax.set_title(f"10 GB corpus: measured peak {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS\n"
+                 f"Estimated indexer without local embedder: {remaining_mb / 1024:.1f} GiB")
+    fig.tight_layout()
+    fig.savefig(output_path, dpi=130)
+    plt.close(fig)
+
+
 def main():
     parser = argparse.ArgumentParser(description=__doc__)
     parser.add_argument("--results", type=Path, default=ROOT / "results")
     parser.add_argument("--assets", type=Path, default=REPO / "docs/assets")
     parser.add_argument("--update-readme", action="store_true")
+    parser.add_argument('--breakdown-only', action='store_true',
+                        help='Render the completed 10 GB run into results/ without updating the publication')
     args = parser.parse_args()
+    if args.breakdown_only:
+        if args.update_readme:
+            parser.error('--breakdown-only cannot update the published README')
+        ten = load(args.results, [('10gb', '10 GB')])[0]
+        environment = json.loads((args.results / 'run-environment.json').read_text())
+        calibration = load_calibration(args.results, environment)
+        c = embedder_breakdown(ten, calibration)
+        remaining = (ten['summary']['peak_pss_mb'] - c['local_embedder_private_mb_estimate']
+                     - c['local_embedder_shared_libraries_mb'])
+        draw_breakdown(ten, c, remaining, args.results / '10gb-memory-breakdown.png')
+        report = {'components_mb': c, 'indexer_without_local_embedder_mb_estimate': remaining}
+        (args.results / '10gb-breakdown.json').write_text(json.dumps(report, indent=2) + '\n')
+        print(json.dumps(report, indent=2))
+        return
     runs = load(args.results)  # Fail before touching published files if any run is missing.
     environment = json.loads((args.results / "run-environment.json").read_text())
     ten = next(r for r in runs if r["size"] == "10gb")
-    calibration = json.loads((args.results / 'embedder-calibration.json').read_text())
-    if (calibration['image'] != environment['image'] or calibration['workers'] != 8
-            or calibration['jemalloc_conf'] != 'background_thread:true'
-            or calibration['omp_threads'] != '12' or 'baseline_includes' not in calibration):
-        raise ValueError('Embedder diagnostic and indexing runs have different setups')
+    calibration = load_calibration(args.results, environment)
     c = embedder_breakdown(ten, calibration)
     files = np.array([r["summary"]["documents"] for r in runs], dtype=float)
     extra = np.array([r["final_components"]["connector_extra_mb_estimate"] for r in runs])
@@ -181,36 +235,8 @@ def main():
     derived['10gb_indexer_without_local_embedder_mb_estimate'] = (
         ten['summary']['peak_pss_mb'] - c['local_embedder_private_mb_estimate'] - c['local_embedder_shared_libraries_mb'])
     (args.results / "derived.json").write_text(json.dumps(derived, indent=2) + "\n")
-    values = list(c.values())
-    labels = ["Local embedder: private memory\n(calibrated estimate)",
-              "Local embedder: shared libraries\n(mapping/calibration estimate)",
-              "File-watch memory\n(rank-0 excess estimate)",
-              "Indexer: engine, buffers, supervisors\n(private memory; estimate)",
-              "Other shared pages\n(PSS residual)"]
-    labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
-    fig, ax = plt.subplots(figsize=(11.5, 6.5))
-    wedges, _, _ = ax.pie(values, autopct=lambda p: f'{p:.0f}%' if p >= 6 else '',
-           startangle=90, colors=["#5145ef", "#a5b4fc", "#10a34a", "#64748b", "#cbd5e1"],
-           wedgeprops={"edgecolor": "white"})
-    # Space callouts independently of tiny wedge angles, so shared-page and
-    # metadata labels remain readable without overlapping.
-    anchors = [(np.cos(np.deg2rad((w.theta1 + w.theta2) / 2)),
-                np.sin(np.deg2rad((w.theta1 + w.theta2) / 2))) for w in wedges]
-    for side in [-1, 1]:
-        indexes = sorted([i for i, (x, y) in enumerate(anchors) if (1 if x >= 0 else -1) == side],
-                         key=lambda i: anchors[i][1])
-        positions = np.linspace(-1.0, 1.0, len(indexes)) if len(indexes) > 1 else [0]
-        for index, y in zip(indexes, positions):
-            ax.annotate(labels[index], xy=anchors[index], xytext=(side * 1.4, y),
-                        ha='left' if side > 0 else 'right', va='center', fontsize=12,
-                        arrowprops={'arrowstyle': '-', 'color': '#64748b',
-                                    'connectionstyle': 'angle3,angleA=0,angleB=90'})
-    ax.set_xlim(-1.85, 1.85)
-    ax.set_title(f"10 GB corpus: measured peak {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS\n"
-                 f"Estimated indexer without local embedder: {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.1f} GiB")
-    fig.tight_layout()
-    fig.savefig(args.assets / "bench-memory-breakdown.png", dpi=130)
-    plt.close(fig)
+    draw_breakdown(ten, c, derived['10gb_indexer_without_local_embedder_mb_estimate'],
+                   args.assets / 'bench-memory-breakdown.png')
 
     published_table = table(runs)
     (args.results / "table.md").write_text(published_table + "\n")

From 26371a4e6013e544b3c501e764ee5264ca77cc70 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Mon, 12 Oct 2026 23:13:05 +0200
Subject: [PATCH 15/32] Save and validate complete 10 GiB target benchmark
 results

---
 .../results/10gb-compose.json                 | 170 ++++
 .../results/10gb-memory.csv                   | 814 ++++++++++++++++++
 .../results/10gb-memory.png                   | Bin 0 -> 74558 bytes
 .../results/10gb-processes.jsonl.gz           | Bin 0 -> 181826 bytes
 .../results/10gb-summary.json                 | 250 ++++++
 .../realtime-data-indexing/results/README.md  |   1 +
 6 files changed, 1235 insertions(+)
 create mode 100644 benchmarks/realtime-data-indexing/results/10gb-compose.json
 create mode 100644 benchmarks/realtime-data-indexing/results/10gb-memory.csv
 create mode 100644 benchmarks/realtime-data-indexing/results/10gb-memory.png
 create mode 100644 benchmarks/realtime-data-indexing/results/10gb-processes.jsonl.gz
 create mode 100644 benchmarks/realtime-data-indexing/results/10gb-summary.json

diff --git a/benchmarks/realtime-data-indexing/results/10gb-compose.json b/benchmarks/realtime-data-indexing/results/10gb-compose.json
new file mode 100644
index 0000000..9262467
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/10gb-compose.json
@@ -0,0 +1,170 @@
+{
+  "name": "serviette-consistency-bench",
+  "networks": {
+    "default": {
+      "name": "serviette-consistency-bench_default",
+      "ipam": {}
+    }
+  },
+  "services": {
+    "indexer": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "indexer",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OMP_NUM_THREADS": "12",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/10gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    },
+    "qdrant": {
+      "command": null,
+      "entrypoint": null,
+      "image": "qdrant/qdrant:latest",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 6333,
+          "published": "8301",
+          "protocol": "tcp"
+        }
+      ]
+    },
+    "server": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "server",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 8000,
+          "published": "8300",
+          "protocol": "tcp"
+        }
+      ],
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/10gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    }
+  },
+  "x-serviette": {
+    "build": {
+      "context": "../..",
+      "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+    },
+    "environment": {
+      "HF_HOME": "/hf-cache",
+      "HF_HUB_OFFLINE": "1",
+      "MALLOC_ARENA_MAX": "",
+      "OPENAI_API_KEY": "x",
+      "PATHWAY_LICENSE_KEY": "PV3L-4L4N-TF7R-JWM7-LKVK-PX3E-FHTX-KMNC",
+      "_RJEM_MALLOC_CONF": "background_thread:true"
+    },
+    "image": "serviette-bench",
+    "volumes": [
+      "~/.cache/huggingface:/hf-cache:ro",
+      "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/10gb/docs:/data/docs:ro",
+      "./config.yaml:/bench/config.yaml:ro"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/10gb-memory.csv b/benchmarks/realtime-data-indexing/results/10gb-memory.csv
new file mode 100644
index 0000000..b9488d2
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/10gb-memory.csv
@@ -0,0 +1,814 @@
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diff --git a/benchmarks/realtime-data-indexing/results/10gb-summary.json b/benchmarks/realtime-data-indexing/results/10gb-summary.json
new file mode 100644
index 0000000..d38d31d
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/10gb-summary.json
@@ -0,0 +1,250 @@
+{
+  "dataset": "10gb",
+  "corpus_mb": 10000.0,
+  "documents": 3423359,
+  "chunks": 6761214,
+  "max_observed_chunks": 6788200,
+  "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count",
+  "indexing_seconds": 3620.7,
+  "throughput_mb_per_min": 165.71,
+  "peak_rss_mb": 12627.0,
+  "peak_pss_mb": 8358.6,
+  "peak_processes": [
+    {
+      "pid": 1,
+      "worker_rank": null,
+      "VmHWM": 991480,
+      "VmRSS": 991480,
+      "Pss": 627866,
+      "Private_Clean": 300,
+      "Private_Dirty": 584176,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 50606,
+          "private_kb": 19868
+        },
+        "other": {
+          "Pss": 576747,
+          "private_kb": 564608
+        }
+      }
+    },
+    {
+      "pid": 131,
+      "worker_rank": null,
+      "VmHWM": 183284,
+      "VmRSS": 183284,
+      "Pss": 107115,
+      "Private_Clean": 24,
+      "Private_Dirty": 98496,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 0,
+          "private_kb": 0
+        },
+        "other": {
+          "Pss": 106905,
+          "private_kb": 98520
+        }
+      }
+    },
+    {
+      "pid": 159,
+      "worker_rank": 0,
+      "VmHWM": 2537796,
+      "VmRSS": 2535608,
+      "Pss": 2038745,
+      "Private_Clean": 844,
+      "Private_Dirty": 1974920,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64792,
+          "private_kb": 19900
+        },
+        "other": {
+          "Pss": 1973441,
+          "private_kb": 1955864
+        }
+      }
+    },
+    {
+      "pid": 160,
+      "worker_rank": 1,
+      "VmHWM": 1313820,
+      "VmRSS": 1311024,
+      "Pss": 825942,
+      "Private_Clean": 992,
+      "Private_Dirty": 763860,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64335,
+          "private_kb": 20536
+        },
+        "other": {
+          "Pss": 761095,
+          "private_kb": 744316
+        }
+      }
+    },
+    {
+      "pid": 161,
+      "worker_rank": 2,
+      "VmHWM": 1320756,
+      "VmRSS": 1317052,
+      "Pss": 834678,
+      "Private_Clean": 7104,
+      "Private_Dirty": 766412,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 69382,
+          "private_kb": 26580
+        },
+        "other": {
+          "Pss": 764782,
+          "private_kb": 746936
+        }
+      }
+    },
+    {
+      "pid": 162,
+      "worker_rank": 3,
+      "VmHWM": 1331092,
+      "VmRSS": 1328404,
+      "Pss": 828667,
+      "Private_Clean": 1108,
+      "Private_Dirty": 764368,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 65118,
+          "private_kb": 20144
+        },
+        "other": {
+          "Pss": 763033,
+          "private_kb": 745332
+        }
+      }
+    },
+    {
+      "pid": 163,
+      "worker_rank": 4,
+      "VmHWM": 1329896,
+      "VmRSS": 1323816,
+      "Pss": 826374,
+      "Private_Clean": 744,
+      "Private_Dirty": 761748,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 65322,
+          "private_kb": 19896
+        },
+        "other": {
+          "Pss": 760540,
+          "private_kb": 742596
+        }
+      }
+    },
+    {
+      "pid": 164,
+      "worker_rank": 5,
+      "VmHWM": 1326200,
+      "VmRSS": 1322140,
+      "Pss": 824952,
+      "Private_Clean": 496,
+      "Private_Dirty": 761512,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 65575,
+          "private_kb": 20044
+        },
+        "other": {
+          "Pss": 758868,
+          "private_kb": 741964
+        }
+      }
+    },
+    {
+      "pid": 165,
+      "worker_rank": 6,
+      "VmHWM": 1314068,
+      "VmRSS": 1311012,
+      "Pss": 822568,
+      "Private_Clean": 52,
+      "Private_Dirty": 761316,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 63213,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 758846,
+          "private_kb": 741524
+        }
+      }
+    },
+    {
+      "pid": 166,
+      "worker_rank": 7,
+      "VmHWM": 1311492,
+      "VmRSS": 1306240,
+      "Pss": 822334,
+      "Private_Clean": 512,
+      "Private_Dirty": 759796,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 63997,
+          "private_kb": 19920
+        },
+        "other": {
+          "Pss": 757831,
+          "private_kb": 740388
+        }
+      }
+    }
+  ],
+  "peak_elapsed_s": 3704.339952558279,
+  "jemalloc_conf": "background_thread:true",
+  "omp_threads": 12,
+  "indexer_cpu_seconds": 33262.7,
+  "avg_parallelism": 9.2,
+  "vector_db_disk_mb": 16455.5,
+  "qdrant_image_id": "sha256:0ad2e23181e5646b286253c04cea23f07040ca313cc377d9fa7b21db184b6406",
+  "vector_db_mb_per_corpus_mb": 1.65,
+  "retrieval_accuracy": "17/20",
+  "embedder": "sentence-transformers/static-retrieval-mrl-en-v1 (local, 256 dims)",
+  "approx_text_pages": 5242884,
+  "accuracy_misses": [
+    {
+      "expected": "0000/6000-Tom-Tango.txt",
+      "query": "Tom Tango: Tom Tango and \"TangoTiger\" are aliases used online by a baseball sabermetrics and ice hockey statistics analy",
+      "got": [
+        "0240/2077-Tango-disambiguation.txt",
+        "0240/2077-Tango-disambiguation.txt",
+        "0295/8960-Histoire-du-Tango.txt",
+        "0150/4615-In-tango.txt",
+        "0001/0504-List-of-public-domain-tangos.txt"
+      ]
+    },
+    {
+      "expected": "0003/6000-Black-capped-fruit-bat.txt",
+      "query": "Black-capped fruit bat: The black-capped fruit bat (Chironax melanocephalus) is a species of megabat in the monotypic ge",
+      "got": [
+        "0033/2843-Black-winged-little-yellow-bat.txt",
+        "0083/8702-Wrinkle-faced-bat.txt",
+        "0046/2629-Antillean-fruit-eating-bat.txt",
+        "0100/5548-List-of-bats.txt",
+        "0083/8676-Honduran-fruit-eating-bat.txt"
+      ]
+    },
+    {
+      "expected": "0005/6000-Jamie-Mueller.txt",
+      "query": "Jamie Mueller: Jamie F.",
+      "got": [
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0062/3994-Jamie-Marsh.txt"
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index 5d63429..2898d1f 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -13,6 +13,7 @@ Completed:
 | 100 MB | 12 969 | 53 651 | 44.0 s | 6.86 | 0.61 | 5/5 |
 | 1 GB | 240 516 | 604 299 | 293.6 s | 6.82 | 1.85 | 18/20 |
 | 3 GB | 841 890 | 1 888 846 | 921.9 s | 7.18 | 4.89 | 17/20 |
+| 10 GB | 3 423 359 | 6 761 214 | 3620.7 s | 8.16 | 16.07 | 17/20 |
 
 The old 100 MB row reported 66,136 chunks, 39 s, 6.6 GB peak PSS and
 0.6 GB Qdrant storage. The file count is unchanged. The entire corpus was

From bbaebdd9b0208619795763dffe3c4641bc9dbd00 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Tue, 13 Oct 2026 02:23:01 +0200
Subject: [PATCH 16/32] Save 30 GB rerun and calibrated embedding memory
 breakdown

---
 .../realtime-data-indexing/plot_results.py    |    8 +-
 .../results/30gb-compose.json                 |  170 ++
 .../results/30gb-memory.csv                   | 2309 +++++++++++++++++
 .../results/30gb-memory.png                   |  Bin 0 -> 76428 bytes
 .../results/30gb-processes.jsonl.gz           |  Bin 0 -> 511107 bytes
 .../results/30gb-summary.json                 |  283 ++
 .../realtime-data-indexing/results/README.md  |   17 +-
 .../results/embedder-calibration.json         |  228 +-
 8 files changed, 2909 insertions(+), 106 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/results/30gb-compose.json
 create mode 100644 benchmarks/realtime-data-indexing/results/30gb-memory.csv
 create mode 100644 benchmarks/realtime-data-indexing/results/30gb-memory.png
 create mode 100644 benchmarks/realtime-data-indexing/results/30gb-processes.jsonl.gz
 create mode 100644 benchmarks/realtime-data-indexing/results/30gb-summary.json

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 0750b49..212b9e9 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -139,10 +139,10 @@ def load_calibration(results, environment):
 
 def draw_breakdown(ten, c, remaining_mb, output_path):
     values = list(c.values())
-    labels = ["Local embedder: private memory\n(calibrated estimate)",
-              "Local embedder: shared libraries\n(mapping/calibration estimate)",
+    labels = ["Local embedder\nPrivate memory (estimate)",
+              "Local embedder\nShared libraries (estimate)",
               "File-watch memory\n(rank-0 excess estimate)",
-              "Indexer: engine, buffers, supervisors\n(private memory; estimate)",
+              "Indexer: engine and buffers\nPrivate memory (estimate)",
               "Other shared pages\n(PSS residual)"]
     labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
     fig, ax = plt.subplots(figsize=(11.5, 6.5))
@@ -166,7 +166,7 @@ def draw_breakdown(ten, c, remaining_mb, output_path):
     ax.set_title(f"10 GB corpus: measured peak {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS\n"
                  f"Estimated indexer without local embedder: {remaining_mb / 1024:.1f} GiB")
     fig.tight_layout()
-    fig.savefig(output_path, dpi=130)
+    fig.savefig(output_path, dpi=130, bbox_inches='tight')
     plt.close(fig)
 
 
diff --git a/benchmarks/realtime-data-indexing/results/30gb-compose.json b/benchmarks/realtime-data-indexing/results/30gb-compose.json
new file mode 100644
index 0000000..22353f0
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/30gb-compose.json
@@ -0,0 +1,170 @@
+{
+  "name": "serviette-consistency-bench",
+  "networks": {
+    "default": {
+      "name": "serviette-consistency-bench_default",
+      "ipam": {}
+    }
+  },
+  "services": {
+    "indexer": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "indexer",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OMP_NUM_THREADS": "12",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/30gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    },
+    "qdrant": {
+      "command": null,
+      "entrypoint": null,
+      "image": "qdrant/qdrant:latest",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 6333,
+          "published": "8301",
+          "protocol": "tcp"
+        }
+      ]
+    },
+    "server": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "server",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 8000,
+          "published": "8300",
+          "protocol": "tcp"
+        }
+      ],
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/30gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    }
+  },
+  "x-serviette": {
+    "build": {
+      "context": "../..",
+      "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+    },
+    "environment": {
+      "HF_HOME": "/hf-cache",
+      "HF_HUB_OFFLINE": "1",
+      "MALLOC_ARENA_MAX": "",
+      "OPENAI_API_KEY": "x",
+      "PATHWAY_LICENSE_KEY": "PV3L-4L4N-TF7R-JWM7-LKVK-PX3E-FHTX-KMNC",
+      "_RJEM_MALLOC_CONF": "background_thread:true"
+    },
+    "image": "serviette-bench",
+    "volumes": [
+      "~/.cache/huggingface:/hf-cache:ro",
+      "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/30gb/docs:/data/docs:ro",
+      "./config.yaml:/bench/config.yaml:ro"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/30gb-memory.csv b/benchmarks/realtime-data-indexing/results/30gb-memory.csv
new file mode 100644
index 0000000..563419a
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/30gb-memory.csv
@@ -0,0 +1,2309 @@
+elapsed_s,rss_mb,hwm_mb,pss_mb,chunks
+12.4,1947.2,1947.2,1287.7,0
+16.4,5924.5,5924.5,3531.2,0
+20.6,8300.0,8300.0,5086.9,0
+24.8,9024.2,9024.2,5595.5,0
+29.1,9141.6,9182.3,5712.7,0
+33.4,9265.0,9265.0,5835.1,0
+37.7,9392.2,9412.2,5961.1,0
+42.0,9518.6,9520.8,6086.8,0
+46.3,9656.7,9659.1,6223.8,0
+50.7,9832.8,9870.5,6401.5,0
+55.2,10222.1,10224.4,6805.2,0
+59.6,10462.8,10465.2,7031.0,0
+63.9,10783.3,11065.8,7351.5,0
+68.3,11139.4,11141.8,7707.7,0
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diff --git a/benchmarks/realtime-data-indexing/results/30gb-summary.json b/benchmarks/realtime-data-indexing/results/30gb-summary.json
new file mode 100644
index 0000000..31b9a07
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/30gb-summary.json
@@ -0,0 +1,283 @@
+{
+  "dataset": "30gb",
+  "corpus_mb": 30000.0,
+  "documents": 9202620,
+  "chunks": 20933962,
+  "max_observed_chunks": 21071072,
+  "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count",
+  "indexing_seconds": 11028.8,
+  "throughput_mb_per_min": 163.21,
+  "peak_rss_mb": 14982.2,
+  "peak_pss_mb": 10653.8,
+  "peak_processes": [
+    {
+      "pid": 1,
+      "worker_rank": null,
+      "VmHWM": 990236,
+      "VmRSS": 990064,
+      "Pss": 626430,
+      "Private_Clean": 308,
+      "Private_Dirty": 583628,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 50121,
+          "private_kb": 20004
+        },
+        "other": {
+          "Pss": 575784,
+          "private_kb": 563932
+        }
+      }
+    },
+    {
+      "pid": 131,
+      "worker_rank": null,
+      "VmHWM": 183180,
+      "VmRSS": 183064,
+      "Pss": 106999,
+      "Private_Clean": 48,
+      "Private_Dirty": 98500,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 0,
+          "private_kb": 0
+        },
+        "other": {
+          "Pss": 106783,
+          "private_kb": 98548
+        }
+      }
+    },
+    {
+      "pid": 146,
+      "worker_rank": 0,
+      "VmHWM": 5524492,
+      "VmRSS": 4688216,
+      "Pss": 4206433,
+      "Private_Clean": 672,
+      "Private_Dirty": 4144476,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 63910,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 3837409,
+          "private_kb": 3820708
+        }
+      }
+    },
+    {
+      "pid": 147,
+      "worker_rank": 1,
+      "VmHWM": 1366804,
+      "VmRSS": 1354812,
+      "Pss": 853678,
+      "Private_Clean": 352,
+      "Private_Dirty": 791896,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64360,
+          "private_kb": 20012
+        },
+        "other": {
+          "Pss": 787846,
+          "private_kb": 771272
+        }
+      }
+    },
+    {
+      "pid": 148,
+      "worker_rank": 2,
+      "VmHWM": 1363468,
+      "VmRSS": 1352284,
+      "Pss": 850974,
+      "Private_Clean": 428,
+      "Private_Dirty": 789228,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 63891,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 786818,
+          "private_kb": 770068
+        }
+      }
+    },
+    {
+      "pid": 149,
+      "worker_rank": 3,
+      "VmHWM": 1362156,
+      "VmRSS": 1352776,
+      "Pss": 851694,
+      "Private_Clean": 0,
+      "Private_Dirty": 790560,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 63910,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 787268,
+          "private_kb": 770716
+        }
+      }
+    },
+    {
+      "pid": 150,
+      "worker_rank": 4,
+      "VmHWM": 1359792,
+      "VmRSS": 1348816,
+      "Pss": 851688,
+      "Private_Clean": 1548,
+      "Private_Dirty": 787716,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 63957,
+          "private_kb": 19880
+        },
+        "other": {
+          "Pss": 787206,
+          "private_kb": 769384
+        }
+      }
+    },
+    {
+      "pid": 151,
+      "worker_rank": 5,
+      "VmHWM": 1361732,
+      "VmRSS": 1351420,
+      "Pss": 855209,
+      "Private_Clean": 2032,
+      "Private_Dirty": 789780,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 65469,
+          "private_kb": 20428
+        },
+        "other": {
+          "Pss": 789216,
+          "private_kb": 771384
+        }
+      }
+    },
+    {
+      "pid": 152,
+      "worker_rank": 6,
+      "VmHWM": 1358432,
+      "VmRSS": 1349080,
+      "Pss": 851454,
+      "Private_Clean": 720,
+      "Private_Dirty": 789072,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 65041,
+          "private_kb": 20148
+        },
+        "other": {
+          "Pss": 785630,
+          "private_kb": 769388
+        }
+      }
+    },
+    {
+      "pid": 153,
+      "worker_rank": 7,
+      "VmHWM": 1368916,
+      "VmRSS": 1355724,
+      "Pss": 854924,
+      "Private_Clean": 60,
+      "Private_Dirty": 793968,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 63874,
+          "private_kb": 19868
+        },
+        "other": {
+          "Pss": 790534,
+          "private_kb": 774160
+        }
+      }
+    }
+  ],
+  "peak_elapsed_s": 8678.846100345254,
+  "jemalloc_conf": "background_thread:true",
+  "omp_threads": 12,
+  "indexer_cpu_seconds": 99590.4,
+  "avg_parallelism": 9.0,
+  "vector_db_disk_mb": 49738.0,
+  "qdrant_image_id": "sha256:0ad2e23181e5646b286253c04cea23f07040ca313cc377d9fa7b21db184b6406",
+  "vector_db_mb_per_corpus_mb": 1.66,
+  "retrieval_accuracy": "14/20",
+  "embedder": "sentence-transformers/static-retrieval-mrl-en-v1 (local, 256 dims)",
+  "approx_text_pages": 15728646,
+  "accuracy_misses": [
+    {
+      "expected": "0000/6000-Tom-Tango.txt",
+      "query": "Tom Tango: Tom Tango and \"TangoTiger\" are aliases used online by a baseball sabermetrics and ice hockey statistics analy",
+      "got": [
+        "0240/2077-Tango-disambiguation.txt",
+        "0240/2077-Tango-disambiguation.txt",
+        "0543/5737-Tango.txt",
+        "0598/4990-History-of-the-tango.txt",
+        "0295/8960-Histoire-du-Tango.txt"
+      ]
+    },
+    {
+      "expected": "0001/6000-Ricky-Fuji.txt",
+      "query": "Ricky Fuji: (born September 27, 1965) better known under his ring name  is a Japanese professional wrestler currently si",
+      "got": [
+        "0592/7826-Kazuyuki-Fujita.txt",
+        "0369/6383-Sho-wrestler.txt",
+        "0592/1210-Tatsumi-Fujinami.txt",
+        "0454/6595-Daiki-Inaba.txt",
+        "0321/0463-Jeff-Cobb.txt"
+      ]
+    },
+    {
+      "expected": "0003/2000-Theroigne-de-Mericourt.txt",
+      "query": "Theroigne de Mericourt: Anne-Jos\u00e8phe Th\u00e9roigne de M\u00e9ricourt (born Anne-Jos\u00e8phe Terwagne; 13 August 1762 \u2013 8 June 1817) w",
+      "got": [
+        "0886/9728-Anne-Jos-phe-Th-roigne-de-M-ricourt.txt",
+        "0886/9728-Anne-Jos-phe-Th-roigne-de-M-ricourt.txt",
+        "0833/1829-Charles-III-de-Rohan.txt",
+        "0886/9728-Anne-Jos-phe-Th-roigne-de-M-ricourt.txt",
+        "0023/8794-Jean-Baptiste-Jacques-Augustin.txt"
+      ]
+    },
+    {
+      "expected": "0003/6000-Black-capped-fruit-bat.txt",
+      "query": "Black-capped fruit bat: The black-capped fruit bat (Chironax melanocephalus) is a species of megabat in the monotypic ge",
+      "got": [
+        "0551/7828-Leaf-nosed-bat.txt",
+        "0033/2843-Black-winged-little-yellow-bat.txt",
+        "0083/8702-Wrinkle-faced-bat.txt",
+        "0046/2629-Antillean-fruit-eating-bat.txt",
+        "0100/5548-List-of-bats.txt"
+      ]
+    },
+    {
+      "expected": "0005/6000-Jamie-Mueller.txt",
+      "query": "Jamie Mueller: Jamie F.",
+      "got": [
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0623/5680-Jamie-Oliver.txt",
+        "0000/6975-Jamie.txt",
+        "0039/1332-Jamieson.txt"
+      ]
+    },
+    {
+      "expected": "0005/8000-Ruhleben-internment-camp.txt",
+      "query": "Ruhleben internment camp: Ruhleben internment camp was a civilian detention camp in Germany during World War I.",
+      "got": [
+        "0809/3391-S-ok-w.txt",
+        "0639/3929-R-hle-Familienname.txt",
+        "0638/7530-Ruhl.txt",
+        "0676/0506-Kohlenw-sche.txt",
+        "0849/5679-Ruhden.txt"
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index 2898d1f..a9fb28a 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -14,6 +14,7 @@ Completed:
 | 1 GB | 240 516 | 604 299 | 293.6 s | 6.82 | 1.85 | 18/20 |
 | 3 GB | 841 890 | 1 888 846 | 921.9 s | 7.18 | 4.89 | 17/20 |
 | 10 GB | 3 423 359 | 6 761 214 | 3620.7 s | 8.16 | 16.07 | 17/20 |
+| 30 GB | 9 202 620 | 20 933 962 | 11028.8 s | 10.40 | 48.57 | 14/20 |
 
 The old 100 MB row reported 66,136 chunks, 39 s, 6.6 GB peak PSS and
 0.6 GB Qdrant storage. The file count is unchanged. The entire corpus was
@@ -43,8 +44,14 @@ These fields retain the existing benchmark methodology, and are not exact
 allocation or point-count audits.
 
 The local-embedder diagnostic (`embedder-calibration.json`) separately runs
-eight workers in the same image/environment, recording private and PSS
-before local embedding imports and after model warming. Private-page growth
-is about 5.24 GiB across eight workers. Its own graph has no live document
-processing, so attribution to a live indexing peak remains an estimate.
-Shared library PSS will be taken from the main 10 GB peak's mappings.
+eight workers in the same image/environment. The baseline includes warmed
+UTF-8 parsing and the configured splitter, which remain necessary with a
+remote embedder. Measurements were taken between the 30 GB and 50 GB sizes.
+The diagnostic's private-page increment is 5.17 GiB. Attribution at the
+actual 10 GB peak caps it at observed worker memory minus that baseline:
+4.60 GiB private embedding memory plus 0.28 GiB shared library PSS.
+The remaining indexer footprint is estimated at 3.27 GiB, excluding an
+external embedding service and unmeasured client/buffer changes. Other
+shared pages remain in the residual. The saved `10gb-breakdown.json` and
+`10gb-memory-breakdown.png` use the same measured 8.16 GiB peak; attribution
+is an estimate rather than an external-service benchmark.
diff --git a/benchmarks/realtime-data-indexing/results/embedder-calibration.json b/benchmarks/realtime-data-indexing/results/embedder-calibration.json
index f612dbe..9a5ab45 100644
--- a/benchmarks/realtime-data-indexing/results/embedder-calibration.json
+++ b/benchmarks/realtime-data-indexing/results/embedder-calibration.json
@@ -1,177 +1,211 @@
 {
   "description": "Diagnostic: eight workers, before/after local embedder initialization.\n\nRun between indexing sizes, in the same image and environment. This does\nnot replace the indexing benchmark. Anonymous local-embedding memory is\nestimated by the private-page increment; shared code comes from main-run\nmapping samples. Keep workers alive at each barrier to count shared pages\nproportionally across all eight rather than multiplying a single RSS value.\n",
   "workers": 8,
+  "baseline_includes": "graph imports, UTF-8 parser, initialized and warmed configured splitter",
   "jemalloc_conf": "background_thread:true",
   "omp_threads": "12",
   "stages": {
     "baseline": [
       {
-        "Pss": 121819,
-        "Private_Clean": 2936,
-        "Private_Dirty": 107036
+        "Pss": 168251,
+        "Private_Clean": 116,
+        "Private_Dirty": 155880,
+        "embedding_shared_kb": 0
       },
       {
-        "Pss": 119002,
-        "Private_Clean": 464,
-        "Private_Dirty": 107044
+        "Pss": 168292,
+        "Private_Clean": 124,
+        "Private_Dirty": 155852,
+        "embedding_shared_kb": 0
       },
       {
-        "Pss": 118853,
-        "Private_Clean": 40,
-        "Private_Dirty": 107072
+        "Pss": 175644,
+        "Private_Clean": 28,
+        "Private_Dirty": 163648,
+        "embedding_shared_kb": 0
       },
       {
-        "Pss": 119120,
-        "Private_Clean": 316,
-        "Private_Dirty": 107012
+        "Pss": 168493,
+        "Private_Clean": 600,
+        "Private_Dirty": 155820,
+        "embedding_shared_kb": 0
       },
       {
-        "Pss": 119129,
-        "Private_Clean": 104,
-        "Private_Dirty": 107096
+        "Pss": 176026,
+        "Private_Clean": 432,
+        "Private_Dirty": 163684,
+        "embedding_shared_kb": 0
       },
       {
-        "Pss": 119451,
-        "Private_Clean": 260,
-        "Private_Dirty": 107068
+        "Pss": 179083,
+        "Private_Clean": 84,
+        "Private_Dirty": 166604,
+        "embedding_shared_kb": 0
       },
       {
-        "Pss": 119407,
-        "Private_Clean": 676,
-        "Private_Dirty": 107052
+        "Pss": 178026,
+        "Private_Clean": 208,
+        "Private_Dirty": 165684,
+        "embedding_shared_kb": 0
       },
       {
-        "Pss": 118832,
-        "Private_Clean": 16,
-        "Private_Dirty": 106988
+        "Pss": 169489,
+        "Private_Clean": 192,
+        "Private_Dirty": 156724,
+        "embedding_shared_kb": 0
       }
     ],
     "runtime": [
       {
-        "Pss": 594428,
-        "Private_Clean": 3200,
-        "Private_Dirty": 539524
+        "Pss": 634314,
+        "Private_Clean": 152,
+        "Private_Dirty": 582752,
+        "embedding_shared_kb": 35649
       },
       {
-        "Pss": 592001,
-        "Private_Clean": 884,
-        "Private_Dirty": 539556
+        "Pss": 635180,
+        "Private_Clean": 244,
+        "Private_Dirty": 582880,
+        "embedding_shared_kb": 36014
       },
       {
-        "Pss": 591723,
-        "Private_Clean": 380,
-        "Private_Dirty": 539648
+        "Pss": 642793,
+        "Private_Clean": 364,
+        "Private_Dirty": 590808,
+        "embedding_shared_kb": 35983
       },
       {
-        "Pss": 591359,
-        "Private_Clean": 328,
-        "Private_Dirty": 539528
+        "Pss": 635196,
+        "Private_Clean": 1248,
+        "Private_Dirty": 582796,
+        "embedding_shared_kb": 35603
       },
       {
-        "Pss": 597426,
-        "Private_Clean": 6512,
-        "Private_Dirty": 539620
+        "Pss": 644433,
+        "Private_Clean": 1680,
+        "Private_Dirty": 590836,
+        "embedding_shared_kb": 36432
       },
       {
-        "Pss": 592319,
-        "Private_Clean": 872,
-        "Private_Dirty": 539696
+        "Pss": 648148,
+        "Private_Clean": 524,
+        "Private_Dirty": 594764,
+        "embedding_shared_kb": 36816
       },
       {
-        "Pss": 592118,
-        "Private_Clean": 960,
-        "Private_Dirty": 539656
+        "Pss": 644526,
+        "Private_Clean": 280,
+        "Private_Dirty": 592572,
+        "embedding_shared_kb": 35966
       },
       {
-        "Pss": 591283,
-        "Private_Clean": 304,
-        "Private_Dirty": 539420
+        "Pss": 636337,
+        "Private_Clean": 372,
+        "Private_Dirty": 584656,
+        "embedding_shared_kb": 35315
       }
     ],
     "model_warm": [
       {
-        "Pss": 849266,
-        "Private_Clean": 3208,
-        "Private_Dirty": 792976
+        "Pss": 887400,
+        "Private_Clean": 144,
+        "Private_Dirty": 834484,
+        "embedding_shared_kb": 36982
       },
       {
-        "Pss": 851213,
-        "Private_Clean": 916,
-        "Private_Dirty": 797352
+        "Pss": 896661,
+        "Private_Clean": 244,
+        "Private_Dirty": 843052,
+        "embedding_shared_kb": 37323
       },
       {
-        "Pss": 844150,
-        "Private_Clean": 396,
-        "Private_Dirty": 790672
+        "Pss": 883749,
+        "Private_Clean": 372,
+        "Private_Dirty": 830436,
+        "embedding_shared_kb": 37296
       },
       {
-        "Pss": 848505,
-        "Private_Clean": 328,
-        "Private_Dirty": 795308
+        "Pss": 886815,
+        "Private_Clean": 1272,
+        "Private_Dirty": 833000,
+        "embedding_shared_kb": 36972
       },
       {
-        "Pss": 854645,
-        "Private_Clean": 7532,
-        "Private_Dirty": 794584
+        "Pss": 901423,
+        "Private_Clean": 1688,
+        "Private_Dirty": 846448,
+        "embedding_shared_kb": 37781
       },
       {
-        "Pss": 844396,
-        "Private_Clean": 884,
-        "Private_Dirty": 790400
+        "Pss": 903614,
+        "Private_Clean": 536,
+        "Private_Dirty": 848828,
+        "embedding_shared_kb": 38201
       },
       {
-        "Pss": 845748,
-        "Private_Clean": 916,
-        "Private_Dirty": 791944
+        "Pss": 884094,
+        "Private_Clean": 280,
+        "Private_Dirty": 830808,
+        "embedding_shared_kb": 37275
       },
       {
-        "Pss": 839030,
-        "Private_Clean": 304,
-        "Private_Dirty": 785804
+        "Pss": 889771,
+        "Private_Clean": 412,
+        "Private_Dirty": 836676,
+        "embedding_shared_kb": 36653
       }
     ],
     "model_released": [
       {
-        "Pss": 849143,
-        "Private_Clean": 3204,
-        "Private_Dirty": 792976
+        "Pss": 887737,
+        "Private_Clean": 144,
+        "Private_Dirty": 834908,
+        "embedding_shared_kb": 36895
       },
       {
-        "Pss": 851053,
-        "Private_Clean": 884,
-        "Private_Dirty": 797352
+        "Pss": 895914,
+        "Private_Clean": 244,
+        "Private_Dirty": 842392,
+        "embedding_shared_kb": 37236
       },
       {
-        "Pss": 844034,
-        "Private_Clean": 384,
-        "Private_Dirty": 790672
+        "Pss": 883947,
+        "Private_Clean": 364,
+        "Private_Dirty": 830748,
+        "embedding_shared_kb": 37191
       },
       {
-        "Pss": 848389,
-        "Private_Clean": 328,
-        "Private_Dirty": 795308
+        "Pss": 887083,
+        "Private_Clean": 1248,
+        "Private_Dirty": 833428,
+        "embedding_shared_kb": 36836
       },
       {
-        "Pss": 854497,
-        "Private_Clean": 7516,
-        "Private_Dirty": 794584
+        "Pss": 901629,
+        "Private_Clean": 1624,
+        "Private_Dirty": 846836,
+        "embedding_shared_kb": 37663
       },
       {
-        "Pss": 844280,
-        "Private_Clean": 868,
-        "Private_Dirty": 790400
+        "Pss": 902465,
+        "Private_Clean": 528,
+        "Private_Dirty": 847832,
+        "embedding_shared_kb": 38057
       },
       {
-        "Pss": 845603,
-        "Private_Clean": 900,
-        "Private_Dirty": 791944
+        "Pss": 884231,
+        "Private_Clean": 280,
+        "Private_Dirty": 831032,
+        "embedding_shared_kb": 37188
       },
       {
-        "Pss": 838914,
-        "Private_Clean": 304,
-        "Private_Dirty": 785804
+        "Pss": 888996,
+        "Private_Clean": 408,
+        "Private_Dirty": 836000,
+        "embedding_shared_kb": 36559
       }
     ]
   },
-  "image": "sha256:84b80c81426ebd36d7a1b9635d536c1ed8d05df4079e199f9924d3dbe4839c81"
+  "image": "sha256:84b80c81426ebd36d7a1b9635d536c1ed8d05df4079e199f9924d3dbe4839c81",
+  "completed_utc": "2026-10-13T00:20:28.105584+00:00"
 }

From cfd38f47650ae0634ffbb5a60e16537054f34055 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Tue, 13 Oct 2026 06:56:58 +0200
Subject: [PATCH 17/32] Restore full 50 GB corpus continuation and reject
 undersized runs

---
 benchmarks/realtime-data-indexing/plot_results.py   |  3 +++
 .../realtime-data-indexing/prepare_dataset.py       | 13 +++++++++++--
 2 files changed, 14 insertions(+), 2 deletions(-)
 mode change 100644 => 100755 benchmarks/realtime-data-indexing/prepare_dataset.py

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 212b9e9..493126e 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -95,6 +95,9 @@ def load(results, sizes=SIZES):
     runs = []
     for size, label in sizes:
         summary = json.loads((results / f"{size}-summary.json").read_text())
+        target_mb = int(size[:-2]) * 1000 if size.endswith('gb') else int(size[:-2])
+        if summary['corpus_mb'] < target_mb - 0.1:
+            raise ValueError(f"{size}: prepared corpus is smaller than its published target")
         with (results / f"{size}-memory.csv").open() as fh:
             samples = [{k: float(v) for k, v in row.items()} for row in csv.DictReader(fh)]
         peak = max(s["pss_mb"] for s in samples)
diff --git a/benchmarks/realtime-data-indexing/prepare_dataset.py b/benchmarks/realtime-data-indexing/prepare_dataset.py
old mode 100644
new mode 100755
index e85eb3e..ca7755e
--- a/benchmarks/realtime-data-indexing/prepare_dataset.py
+++ b/benchmarks/realtime-data-indexing/prepare_dataset.py
@@ -3,7 +3,7 @@
 
 Downloads Wikipedia parquet shards from Hugging Face (public, no auth, fast
 CDN) and explodes articles into one ``.txt`` file each until the requested
-size is reached — so the same script scales from 100 MB to 10 GB by changing
+size is reached — so the same script scales from 100 MB to 50 GB by changing
 ``--size-mb``. Also emits ``questions.json``: distinctive articles sampled
 across the corpus with queries that must retrieve exactly that file
 (retrieval-accuracy check for the benchmark).
@@ -24,7 +24,10 @@
 # Language cascade: English alone tops out around 20 GB of plain text, so
 # larger corpora continue into further languages. Accuracy questions are
 # sampled from the head of the corpus, i.e. always from English.
-HF_CONFIGS = ["20231101.en", "20231101.de", "20231101.fr", "20231101.es", "20231101.it"]
+# The published 50 GB corpus also continues into Portuguese and Dutch.
+# The first five languages alone stop at about 45,324 MiB.
+HF_CONFIGS = ["20231101.en", "20231101.de", "20231101.fr", "20231101.es", "20231101.it",
+              "20231101.pt", "20231101.nl"]
 # Shard the docs tree: N files per subdirectory, so multi-million-file
 # corpora don't create a single pathological directory.
 FILES_PER_DIR = 10_000
@@ -103,6 +106,12 @@ def main() -> None:
                 )
             article_index += 1
 
+    (out / "preparation.json").write_text(json.dumps({
+        "target_bytes": target_bytes, "written_bytes": written,
+        "documents": article_index, "language_configs": HF_CONFIGS,
+    }, indent=2) + "\n")
+    if written < target_bytes:
+        raise RuntimeError(f"Corpus sources exhausted: {written} bytes < {target_bytes} target")
     (out / "questions.json").write_text(json.dumps(questions, indent=2))
     print(
         f"done: {article_index} files, {written / 1024 / 1024:.1f} MB, "

From a91017c8709f2b0e37bc71532383c44555a37860 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Tue, 13 Oct 2026 06:58:37 +0200
Subject: [PATCH 18/32] Document full corpus sources and preserve preparation
 metadata

---
 benchmarks/realtime-data-indexing/README.md    | 5 +++++
 benchmarks/realtime-data-indexing/rerun_all.py | 3 +++
 2 files changed, 8 insertions(+)

diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index 661b3f6..4bab072 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -39,6 +39,11 @@ Per-process samples include the Pathway worker rank, excluding the sampler.
 (public, fast CDN) and writes one `.txt` file per article until the target
 size is reached. It also samples distinctive articles into `questions.json`;
 each question must retrieve its own article (top-k accuracy sanity check).
+Sources continue in this order: English, German, French, Spanish, Italian,
+Portuguese, Dutch. The last two are needed to reach the published 50 GB
+target. Preparation records actual bytes and file count in `preparation.json`
+and fails if sources run out before the target; publication also checks the
+measured corpus size.
 
 ## Running
 
diff --git a/benchmarks/realtime-data-indexing/rerun_all.py b/benchmarks/realtime-data-indexing/rerun_all.py
index 2276ddf..8dcfcb2 100755
--- a/benchmarks/realtime-data-indexing/rerun_all.py
+++ b/benchmarks/realtime-data-indexing/rerun_all.py
@@ -8,6 +8,7 @@
 import json
 import os
 import platform
+import shutil
 import subprocess
 import sys
 from pathlib import Path
@@ -53,6 +54,8 @@ def output(cmd):
         if not (size == "100mb" and (dataset / "questions.json").exists()):
             subprocess.run([sys.executable, str(ROOT / "prepare_dataset.py"),
                             "--size-mb", str(mb), "--out", str(dataset)], check=True)
+        if (dataset / 'preparation.json').exists():
+            shutil.copy2(dataset / 'preparation.json', results / f'{size}-preparation.json')
         print(f"Indexing {size}", flush=True)
         try:
             subprocess.run([sys.executable, str(ROOT / "run_bench.py"), "--size", size], check=True)

From 2d2d192e39591c8670d6ec1d2db306574756aaef Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Tue, 13 Oct 2026 07:45:58 +0200
Subject: [PATCH 19/32] Record reconstruction of the published 50 GB corpus
 boundary

---
 .../realtime-data-indexing/plot_results.py      | 15 +++++++++++++++
 .../results/50gb-preparation.json               | 17 +++++++++++++++++
 2 files changed, 32 insertions(+)
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-preparation.json

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 493126e..6a2158f 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -243,6 +243,20 @@ def main():
 
     published_table = table(runs)
     (args.results / "table.md").write_text(published_table + "\n")
+    cutoff_note = ''
+    preparation_path = args.results / '50gb-preparation.json'
+    if preparation_path.exists():
+        preparation = json.loads(preparation_path.read_text())
+        if preparation.get('trimmed_trailing_documents'):
+            cutoff_note = """The 50 GB input restores the historical Portuguese/Dutch continuation and
+matches the archived file count and approximate page count. Strictly filling
+the nominal byte target adds 20 trailing Dutch articles (35,697 bytes);
+these are preserved outside the input to reproduce the published cutoff.
+`50gb-preparation.json` and `50gb-preparation-full-target.json` record both
+boundaries. The earlier five-language run stopped at 45,323.8 MiB; it is
+preserved in `diagnostics/50gb-insufficient-corpus/` and excluded from this
+publication and direct performance comparisons.
+"""
     notes = f"""# Indexing benchmark results
 
 Measured from {environment['started_utc']}, on {environment['logical_cpus']} logical CPUs.
@@ -255,6 +269,7 @@ def main():
 Input labels retain the published nominal sizes: 1 GB means a target of
 1,000 MiB of text; 100 MB means 100 MiB. Memory and disk columns use GiB;
 CSV columns ending in `_mb` contain MiB. Pages use 2,000 bytes per page.
+{cutoff_note}
 Peaks are the maximum sampled total PSS, not kernel high-water marks.
 Sampling continues through the existing completion window.
 The chunk-count methodology is unchanged: the summary uses Qdrant's
diff --git a/benchmarks/realtime-data-indexing/results/50gb-preparation.json b/benchmarks/realtime-data-indexing/results/50gb-preparation.json
new file mode 100644
index 0000000..cc007c4
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/50gb-preparation.json
@@ -0,0 +1,17 @@
+{
+  "target_bytes": 52428800000,
+  "written_bytes": 52428765709,
+  "documents": 17083603,
+  "language_configs": [
+    "20231101.en",
+    "20231101.de",
+    "20231101.fr",
+    "20231101.es",
+    "20231101.it",
+    "20231101.pt",
+    "20231101.nl"
+  ],
+  "trimmed_trailing_documents": 20,
+  "trimmed_bytes": 35697,
+  "cutoff_reason": "Reconstruct the previous published corpus boundary: identical file count and approximate page count; full nominal target differs by only 20 trailing Dutch articles"
+}

From 2c35e4a57605303a03f654566a9a71b1f948eeb0 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Tue, 13 Oct 2026 08:52:04 +0200
Subject: [PATCH 20/32] Use GiB and validated data for all individual memory
 plots

---
 .../realtime-data-indexing/plot_results.py    |  26 ++++++++++++++++++
 .../results/100mb-memory.png                  | Bin 60052 -> 63784 bytes
 .../results/10gb-memory.png                   | Bin 74558 -> 77443 bytes
 .../results/1gb-memory.png                    | Bin 67981 -> 70457 bytes
 .../results/30gb-memory.png                   | Bin 76428 -> 81267 bytes
 .../results/3gb-memory.png                    | Bin 74301 -> 78078 bytes
 .../realtime-data-indexing/run_bench.py       |  10 +++----
 7 files changed, 31 insertions(+), 5 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 6a2158f..301c850 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -140,6 +140,30 @@ def load_calibration(results, environment):
     return calibration
 
 
+def draw_run(run, output_path):
+    """Regenerate each size's plot from the same validated CSV and summary."""
+    fig, ax = plt.subplots(figsize=(9, 4.5))
+    minutes = [s['elapsed_s'] / 60 for s in run['samples']]
+    peak_gib = run['summary']['peak_pss_mb'] / 1024
+    ax.plot(minutes, [s['pss_mb'] / 1024 for s in run['samples']],
+            label='indexer PSS', linewidth=1.8)
+    ax.axhline(peak_gib, linestyle='--', linewidth=1, alpha=0.6,
+               label=f'peak {peak_gib:.2f} GiB')
+    ax.set(xlabel='minutes since start', ylabel='memory (PSS), GiB', ylim=(0, None),
+           title=f"serviette indexer — {run['size']} corpus ({run['summary']['documents']} docs, streaming)")
+    chunks = ax.twinx()
+    chunks.plot(minutes, [s['chunks'] for s in run['samples']], color='tab:green',
+                alpha=0.6, linewidth=1.4, label='maximum observed chunks')
+    chunks.set(ylabel='maximum observed chunks', ylim=(0, None))
+    lines, labels = ax.get_legend_handles_labels()
+    other_lines, other_labels = chunks.get_legend_handles_labels()
+    ax.legend(lines + other_lines, labels + other_labels, loc='center right')
+    ax.grid(alpha=0.3)
+    fig.tight_layout()
+    fig.savefig(output_path, dpi=130)
+    plt.close(fig)
+
+
 def draw_breakdown(ten, c, remaining_mb, output_path):
     values = list(c.values())
     labels = ["Local embedder\nPrivate memory (estimate)",
@@ -199,6 +223,8 @@ def main():
     environment = json.loads((args.results / "run-environment.json").read_text())
     ten = next(r for r in runs if r["size"] == "10gb")
     calibration = load_calibration(args.results, environment)
+    for run in runs:
+        draw_run(run, args.results / f"{run['size']}-memory.png")
     c = embedder_breakdown(ten, calibration)
     files = np.array([r["summary"]["documents"] for r in runs], dtype=float)
     extra = np.array([r["final_components"]["connector_extra_mb_estimate"] for r in runs])
diff --git a/benchmarks/realtime-data-indexing/results/100mb-memory.png b/benchmarks/realtime-data-indexing/results/100mb-memory.png
index fd9f1067168b4f8b015828f164268cef62f4be35..0e3a4c38eff4c829acee76695143064d66087d37 100644
GIT binary patch
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diff --git a/benchmarks/realtime-data-indexing/results/3gb-memory.png b/benchmarks/realtime-data-indexing/results/3gb-memory.png
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zBY>p1-0DAk$oXQSjw+7imzBIJwhwxDHoJB)FfflLAA4mP!jGw5s)~@ziCh_i4+DN4
z0x`xjfTa-ucVq+(@2)l9D_2p#3KO>hplLw;2uTGMBbn1DSHmwgJU79&iJ7Zc$d9G_
z9v%~5oE0&`KqXP|gU&&`K$&)OMDb5UvQDwajm7l;>025}dBL{yKVP;O9s2Lr|LgCk
ZMXPdD<sL8BTteZ?bc@C2;!Ov_{{<MSJ5T@s

diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
index 3b604e7..b5354e5 100755
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -446,14 +446,14 @@ def _chunks() -> int:
 
     fig, ax = plt.subplots(figsize=(9, 4.5))
     minutes = [s[0] / 60 for s in samples]
-    ax.plot(minutes, [s[3] / 1024 for s in samples], label="indexer PSS", linewidth=1.8)
-    ax.axhline(peak_pss_mb, linestyle="--", linewidth=1, alpha=0.6, label=f"peak {peak_pss_mb:.0f} MB")
+    ax.plot(minutes, [s[3] / 1024**2 for s in samples], label="indexer PSS", linewidth=1.8)
+    ax.axhline(peak_pss_mb / 1024, linestyle="--", linewidth=1, alpha=0.6, label=f"peak {peak_pss_mb / 1024:.2f} GiB")
     ax.set_xlabel("minutes since start")
-    ax.set_ylabel("memory, MB")
+    ax.set_ylabel("memory (PSS), GiB")
     ax.set_ylim(bottom=0)
     ax2 = ax.twinx()
-    ax2.plot(minutes, [s[4] for s in samples], color="tab:green", alpha=0.6, linewidth=1.4, label="chunks in DB")
-    ax2.set_ylabel("chunks indexed")
+    ax2.plot(minutes, [s[4] for s in samples], color="tab:green", alpha=0.6, linewidth=1.4, label="maximum observed chunks")
+    ax2.set_ylabel("maximum observed chunks")
     ax2.set_ylim(bottom=0)
     ax.set_title(f"serviette indexer — {args.size} corpus ({docs_count} docs, streaming)")
     lines, labels = ax.get_legend_handles_labels()

From bb922be62bf5c5b5dc44bd795e0f8233d3a8e663 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Tue, 13 Oct 2026 08:52:56 +0200
Subject: [PATCH 21/32] Align published memory precision and clarify
 approximate chunk counts

---
 .../realtime-data-indexing/plot_results.py       | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 301c850..df491fe 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -122,12 +122,12 @@ def load(results, sizes=SIZES):
 
 
 def table(runs):
-    lines = ["| corpus target | ≈ pages | files | chunks | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |",
+    lines = ["| corpus target | ≈ pages | files | chunks (approx.) | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |",
              "|---|---|---|---|---|---|---|"]
     for run in runs:
         s = run["summary"]
         ints = [f"{s[k]:,}".replace(",", " ") for k in ("approx_text_pages", "documents", "chunks")]
-        lines.append(f"| {run['label']} | {' | '.join(ints)} | {duration(s['indexing_seconds'])} | {s['peak_pss_mb'] / 1024:.1f} | {s['vector_db_disk_mb'] / 1024:.1f} |")
+        lines.append(f"| {run['label']} | {' | '.join(ints)} | {duration(s['indexing_seconds'])} | {s['peak_pss_mb'] / 1024:.2f} | {s['vector_db_disk_mb'] / 1024:.2f} |")
     return "\n".join(lines)
 
 
@@ -190,8 +190,8 @@ def draw_breakdown(ten, c, remaining_mb, output_path):
                         arrowprops={'arrowstyle': '-', 'color': '#64748b',
                                     'connectionstyle': 'angle3,angleA=0,angleB=90'})
     ax.set_xlim(-1.85, 1.85)
-    ax.set_title(f"10 GB corpus: measured peak {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS\n"
-                 f"Estimated indexer without local embedder: {remaining_mb / 1024:.1f} GiB")
+    ax.set_title(f"10 GB corpus: measured peak {ten['summary']['peak_pss_mb'] / 1024:.2f} GiB PSS\n"
+                 f"Estimated indexer without local embedder: {remaining_mb / 1024:.2f} GiB")
     fig.tight_layout()
     fig.savefig(output_path, dpi=130, bbox_inches='tight')
     plt.close(fig)
@@ -243,7 +243,7 @@ def main():
         s = run["summary"]
         ax.plot([row["elapsed_s"] / 3600 for row in run["samples"]],
                 [row["pss_mb"] / 1024 for row in run["samples"]],
-                label=f"{run['label']} (peak {s['peak_pss_mb'] / 1024:.1f} GiB)")
+                label=f"{run['label']} (peak {s['peak_pss_mb'] / 1024:.2f} GiB)")
     ax.set(title="Indexer PSS over time", xlabel="hours", ylabel="PSS, GiB", ylim=(0, None))
     ax.legend(fontsize=9)
     right.scatter(files / 1000, extra, color="#5145ef", label="rank-0 private-memory excess (estimate)")
@@ -350,6 +350,8 @@ def main():
 [results](benchmarks/realtime-data-indexing/results/README.md).
 Memory and disk sizes use GiB; input labels are nominal targets
 (1 GB = 1,000 MiB of extracted text). A page is approximately 2,000 bytes.
+Chunks are Qdrant's approximate count at completion; the per-size curves
+retain the maximum observed count used by the completion detector.
 
 Documents flow through the pipeline rather than accumulating in it.
 The file-watch index retains metadata per watched file to detect edits and
@@ -370,9 +372,9 @@ def main():
 <p align="center"><em>All curves and table values come from the same runs with allocator background purging enabled. File-watch memory is estimated from rank-0 private-memory excess over the median of the other workers.</em></p>
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.1f} GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
+  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.2f} GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
 </p>
-<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. Without the local embedder the indexer's footprint is estimated at {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.1f} GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
+<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. Without the local embedder the indexer's footprint is estimated at {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.2f} GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
 
 Setup: {environment['logical_cpus']}-logical-CPU host (see the saved CPU model),
 streaming mode, 8 worker processes with 12 OpenMP threads each,

From 4374ab3dfdbb63d66359534b7a026a46e5a5e41f Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Tue, 13 Oct 2026 15:48:59 +0200
Subject: [PATCH 22/32] Reject premature benchmark completion and preserve
 failed 50 GB samples

---
 benchmarks/realtime-data-indexing/README.md   |  15 +++
 .../count_expected_chunks.py                  |  55 +++++++++
 .../realtime-data-indexing/plot_results.py    |   6 +-
 .../results/50gb-expected-output.json         |   7 ++
 .../realtime-data-indexing/run_bench.py       | 115 +++++++++++++++---
 .../test_completion_guard.py                  |  38 ++++++
 6 files changed, 216 insertions(+), 20 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/count_expected_chunks.py
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-expected-output.json
 create mode 100644 benchmarks/realtime-data-indexing/test_completion_guard.py

diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index 4bab072..8dfc64c 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -33,6 +33,21 @@ are counted once through PSS. Summed `VmHWM` is retained in CSV as an upper
 bound on RSS, since different processes can peak at different times.
 Per-process samples include the Pathway worker rank, excluding the sampler.
 
+The completion detector also requires successful parsing of every input
+file. A chunk-rich subset can exceed the total file count and remain quiet
+while the source is still being enumerated; this must not end sampling.
+For a frozen corpus, `--expected-chunks N` additionally requires an exact
+Qdrant count of N before accepting completion. This validates complete
+output; the published approximate counter, 180-second quiet window,
+30-core activity threshold and last-counter-increase time formula remain
+the same. The excluded early 50 GB measurements are retained under
+`results/diagnostics/50gb-premature-completion/`.
+
+`count_expected_chunks.py` independently counts the frozen `.txt` inputs
+using UTF-8 decoding and the product's configured 512-token splitter.
+Run it in the same immutable benchmark image, outside measured indexing,
+and save its `<size>-expected-output.json` files alongside the raw results.
+
 ## Dataset
 
 `prepare_dataset.py` downloads Wikipedia parquet shards from Hugging Face
diff --git a/benchmarks/realtime-data-indexing/count_expected_chunks.py b/benchmarks/realtime-data-indexing/count_expected_chunks.py
new file mode 100644
index 0000000..6420332
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/count_expected_chunks.py
@@ -0,0 +1,55 @@
+"""Audit frozen input using the benchmark image's actual product splitter.
+
+Run outside measured indexing. UTF8Parser decodes .txt bytes without alteration.
+Each directory is a task; no embeddings or backend writes are involved.
+"""
+import argparse
+import json
+import multiprocessing as mp
+import time
+from pathlib import Path
+
+
+def initialize():
+    global splitter
+    from serviette.config import SplitterConfig
+    from serviette.indexer.graph import build_xpack_splitter
+    splitter = build_xpack_splitter(SplitterConfig(type="token_count", chunk_size=512))
+
+
+def count_directory(directory):
+    documents = chunks = corpus_bytes = 0
+    for path in Path(directory).glob("*.txt"):
+        payload = path.read_bytes()
+        text = payload.decode("utf-8")
+        documents += 1
+        corpus_bytes += len(payload)
+        chunks += len(splitter.chunk(text))
+    return documents, chunks, corpus_bytes
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--data-root", required=True)
+    parser.add_argument("--results", required=True)
+    parser.add_argument("--sizes", nargs="+", default=["3gb", "10gb", "30gb"])
+    parser.add_argument("--workers", type=int, default=12)
+    args = parser.parse_args()
+    with mp.Pool(args.workers, initializer=initialize) as pool:
+        for size in args.sizes:
+            started = time.monotonic()
+            directories = sorted((Path(args.data_root) / size / "docs").iterdir())
+            totals = [0, 0, 0]
+            for completed, counts in enumerate(pool.imap_unordered(count_directory, directories), 1):
+                totals = [a + b for a, b in zip(totals, counts)]
+                if completed % 20 == 0 or completed == len(directories):
+                    print(f"{size}: directories {completed}/{len(directories)}, documents {totals[0]}, chunks {totals[1]}, elapsed {time.monotonic()-started:.0f}s", flush=True)
+            result = dict(zip(["documents", "exact_chunks", "corpus_bytes"], totals))
+            result.update(dataset=size, elapsed_seconds=round(time.monotonic()-started, 1),
+                          source="Frozen corpus files; UTF-8 decode and actual build_xpack_splitter, token_count=512; executed in immutable serviette-bench image")
+            (Path(args.results) / f"{size}-expected-output.json").write_text(json.dumps(result, indent=2) + "\n")
+            print(json.dumps(result), flush=True)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index df491fe..80d7d53 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -169,7 +169,7 @@ def draw_breakdown(ten, c, remaining_mb, output_path):
     labels = ["Local embedder\nPrivate memory (estimate)",
               "Local embedder\nShared libraries (estimate)",
               "File-watch memory\n(rank-0 excess estimate)",
-              "Indexer: engine and buffers\nPrivate memory (estimate)",
+              "Other private memory\nEngine, buffers, supervisors (estimate)",
               "Other shared pages\n(PSS residual)"]
     labels = [f"{label}\n{value / 1024:.2f} GiB" for label, value in zip(labels, values)]
     fig, ax = plt.subplots(figsize=(11.5, 6.5))
@@ -367,12 +367,12 @@ def main():
 Across these runs a **500× larger input target costs {ratio:.1f}× the peak PSS**.
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory.png" alt="Measured indexer PSS over time for all six corpora; legends use the same peaks as the table. Right: estimated file-watch memory versus file count, fitted at approximately {slope:.0f} bytes per file." width="100%">
+  <img src="docs/assets/bench-memory.png" alt="Measured indexer PSS over time for all six corpora; legends use the same peaks as the table. Right: estimated file-watch memory versus file count, fitted at approximately {slope:.0f} bytes per file." width="100%">
 </p>
 <p align="center"><em>All curves and table values come from the same runs with allocator background purging enabled. File-watch memory is estimated from rank-0 private-memory excess over the median of the other workers.</em></p>
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.2f} GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
+  <img src="docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.2f} GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
 </p>
 <p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. Without the local embedder the indexer's footprint is estimated at {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.2f} GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
 
diff --git a/benchmarks/realtime-data-indexing/results/50gb-expected-output.json b/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
new file mode 100644
index 0000000..46758da
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
@@ -0,0 +1,7 @@
+{
+  "image": "sha256:84b80c81426ebd36d7a1b9635d536c1ed8d05df4079e199f9924d3dbe4839c81",
+  "documents": 17083603,
+  "corpus_bytes": 52428765709,
+  "exact_chunks": 37472786,
+  "source": "Complete unmeasured continuation, diagnostics/50gb-premature-completion/completed-continuation-validation.json; used only for output completeness, not timing or memory metrics"
+}
diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
index b5354e5..55b0a68 100755
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -17,6 +17,7 @@
 import gzip
 import json
 import subprocess
+import threading
 import time
 from pathlib import Path
 
@@ -24,6 +25,58 @@
 
 ROOT = Path(__file__).parent
 
+
+class _ParsingProgress:
+    """Observe cold-run input progress without entering the measured container."""
+
+    def __init__(self, container):
+        self.container = container
+        self.parsed_documents = 0
+        self.failed_documents = 0
+        self.last_change = 0.0
+        self.reader_error = None
+
+    def _observe(self, line):
+        if b'INFO:serviette.indexer.graph:parsed ' in line:
+            self.parsed_documents += 1
+            self.last_change = time.monotonic()
+        elif b'document is indexed as EMPTY' in line:
+            self.failed_documents += 1
+
+    def _read(self):
+        try:
+            for line in self.process.stdout:
+                self._observe(line)
+        except (OSError, ValueError) as exc:
+            self.reader_error = str(exc)
+
+    def __enter__(self):
+        self.process = subprocess.Popen(
+            ['docker', 'logs', '--follow', self.container],
+            stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+        self.reader = threading.Thread(target=self._read, daemon=True)
+        self.reader.start()
+        return self
+
+    def __exit__(self, *_):
+        self.process.terminate()
+        try:
+            self.process.wait(timeout=10)
+        except subprocess.TimeoutExpired:
+            self.process.kill()
+            self.process.wait()
+        self.reader.join(timeout=10)
+        self.process.stdout.close()
+
+
+def _ready_to_finish(*, documents, parsed_documents, chunks, last_change,
+                     last_busy, now, stats_available):
+    # A chunk-rich subset can exceed the number of input files. Require every
+    # file to have reached parsing before applying the existing quiet window.
+    return (stats_available and parsed_documents >= documents and chunks >= documents
+            and now - last_change >= STABLE_WINDOW
+            and now - last_busy >= STABLE_WINDOW)
+
 # Observe the same processes as the aggregate sampler, with worker ranks so
 # chart components can be traced to measurements. Never record full environs
 # or command lines: they may contain credentials.
@@ -239,6 +292,8 @@ def main() -> None:
     parser.add_argument("--server-port", type=int, default=8300)
     parser.add_argument("--qdrant-port", type=int, default=8301)
     parser.add_argument("--keep-up", action="store_true", help="don't docker compose down")
+    parser.add_argument('--expected-chunks', type=int,
+                        help='Optional exact output count for a frozen corpus; validates completeness')
     args = parser.parse_args()
 
     import os as _os
@@ -275,7 +330,8 @@ def main() -> None:
     # Pre-warm the HF model cache on the host: containers run HF_HUB_OFFLINE.
     import yaml as _yaml
 
-    model = _yaml.safe_load((ROOT / "config.yaml").read_text())["embedder"].get(
+    bench_config = _yaml.safe_load((ROOT / "config.yaml").read_text())
+    model = bench_config["embedder"].get(
         "model"
     )
     if model:
@@ -305,12 +361,14 @@ def main() -> None:
     base = f"http://127.0.0.1:{args.server_port}"
     _wait_http(f"{base}/api/v1/health", 180, "server not ready")
 
-    def _chunks() -> int:
+    def _chunks() -> int | None:
         try:
-            value = httpx.get(f"{base}/api/v1/stats", timeout=10).json().get("chunks")
-            return int(value) if value is not None else 0
+            response = httpx.get(f"{base}/api/v1/stats", timeout=10)
+            response.raise_for_status()
+            value = response.json().get("chunks")
+            return int(value) if value is not None else None
         except (httpx.HTTPError, ValueError):
-            return 0
+            return None
 
     # The indexer runs in its product mode — STREAMING — and never exits, so
     # "indexing finished" is detected by the chunk counter going stable: it
@@ -322,7 +380,8 @@ def _chunks() -> int:
     process_path = results_dir / f"{args.size}-processes.jsonl.gz"
     peak_processes = []
     peak_pss_kb = -1
-    with gzip.open(process_path, "wt") as process_log:
+    verified_exact_count = None
+    with _ParsingProgress(indexer) as parsing, gzip.open(process_path, "wt") as process_log:
 
         samples: list[tuple[float, int, int, int, int]] = []  # (s, rss, hwm, pss, chunks)
         last_count = 0
@@ -338,7 +397,14 @@ def _chunks() -> int:
                 raise SystemExit("indexer container exited unexpectedly")
             now = time.monotonic()
             count = _chunks()
-            if count > last_count:
+            if parsing.failed_documents or parsing.reader_error:
+                raise RuntimeError('Input parsing failed or its progress could not be observed')
+            if parsing.process.poll() is not None:
+                raise RuntimeError('Input progress log stream ended unexpectedly')
+            if count is None:
+                # An unavailable stats endpoint is not evidence of inactivity.
+                last_busy = now
+            elif count > last_count:
                 last_count = count
                 last_change = now
             cpu = _proc_cpu_seconds(indexer)
@@ -347,6 +413,7 @@ def _chunks() -> int:
                         and (cpu - prev_cpu) / (now - prev_time) >= IDLE_CORES):
                     last_busy = now
                 prev_cpu, prev_time, cpu_seconds = cpu, now, cpu
+            last_busy = max(last_busy, parsing.last_change)
             elapsed = now - started
             sample = (
                 elapsed,
@@ -356,7 +423,9 @@ def _chunks() -> int:
                 last_count,
             )
             samples.append(sample)
-            process_log.write(json.dumps({"elapsed_s": elapsed, "processes": status["processes"]}) + "\n")
+            process_log.write(json.dumps({"elapsed_s": elapsed, "processes": status["processes"],
+                                          "parsed_documents": parsing.parsed_documents,
+                                          "observed_chunks": count}) + "\n")
             process_log.flush()
             if sample[3] > peak_pss_kb:
                 peak_pss_kb = sample[3]
@@ -368,18 +437,27 @@ def _chunks() -> int:
                 )
             print(
                 f"\r   t={elapsed:7.0f}s  rss={status.get('VmRSS', 0) / 1024:7.1f} MB  "
-                f"peak={status.get('VmHWM', 0) / 1024:7.1f} MB  chunks={last_count}",
+                f"peak={status.get('VmHWM', 0) / 1024:7.1f} MB  chunks={last_count} "
+                f"parsed={parsing.parsed_documents}/{docs_count}",
                 end="",
                 flush=True,
             )
-            if (
-                # Every document yields at least one chunk, so completion is
-                # impossible before the counter reaches the document count —
-                # this cleanly excludes the low-CPU initial-scan phase.
-                last_count >= docs_count
-                and now - last_change >= STABLE_WINDOW
-                and now - last_busy >= STABLE_WINDOW
-            ):
+            if _ready_to_finish(documents=docs_count, parsed_documents=parsing.parsed_documents,
+                                chunks=last_count, last_change=last_change, last_busy=last_busy,
+                                now=now, stats_available=count is not None):
+                if args.expected_chunks is not None:
+                    collection = bench_config['vector_db']['collection']
+                    response = httpx.post(
+                        f'http://127.0.0.1:{args.qdrant_port}/collections/{collection}/points/count',
+                        json={'exact': True}, timeout=120)
+                    response.raise_for_status()
+                    verified_exact_count = response.json()['result']['count']
+                    if verified_exact_count > args.expected_chunks:
+                        raise RuntimeError('Output exceeds the expected frozen-corpus point count')
+                    if verified_exact_count < args.expected_chunks:
+                        last_busy = time.monotonic()
+                        time.sleep(SAMPLE_INTERVAL)
+                        continue
                 break
             time.sleep(SAMPLE_INTERVAL)
         print()
@@ -409,6 +487,9 @@ def _chunks() -> int:
         "dataset": args.size,
         "corpus_mb": round(size_mb, 1),
         "documents": docs_count,
+        "parsed_documents": parsing.parsed_documents,
+        "expected_chunks": args.expected_chunks,
+        "verified_exact_chunks": verified_exact_count,
         "chunks": stats.get("chunks"),
         "max_observed_chunks": last_count,
         "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count",
diff --git a/benchmarks/realtime-data-indexing/test_completion_guard.py b/benchmarks/realtime-data-indexing/test_completion_guard.py
new file mode 100644
index 0000000..3bb9aa0
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/test_completion_guard.py
@@ -0,0 +1,38 @@
+"""Regression checks for premature completion on chunk-rich input subsets."""
+import unittest
+
+from run_bench import _ParsingProgress, _ready_to_finish
+
+
+class CompletionGuardTests(unittest.TestCase):
+    def ready(self, **changes):
+        values = {"documents": 17083603, "parsed_documents": 17083603,
+                  "chunks": 37472786, "last_change": 100, "last_busy": 100,
+                  "now": 281, "stats_available": True}
+        values.update(changes)
+        return _ready_to_finish(**values)
+
+    def test_chunk_rich_subset_is_incomplete(self):
+        self.assertFalse(self.ready(parsed_documents=13889356, chunks=31535316))
+
+    def test_complete_quiet_output(self):
+        self.assertTrue(self.ready())
+
+    def test_unavailable_stats_and_recent_activity(self):
+        self.assertFalse(self.ready(stats_available=False))
+        self.assertFalse(self.ready(last_busy=200))
+        self.assertFalse(self.ready(last_change=200))
+
+    def test_parsing_progress(self):
+        progress = _ParsingProgress("unused")
+        progress._observe(b"INFO:serviette.indexer.graph:parsing doc (1 KB)")
+        self.assertEqual(progress.parsed_documents, 0)
+        progress._observe(b"INFO:serviette.indexer.graph:parsed doc: 1000 chars in 0.0s")
+        self.assertEqual(progress.parsed_documents, 1)
+        self.assertGreater(progress.last_change, 0)
+        progress._observe(b"ERROR:document is indexed as EMPTY")
+        self.assertEqual(progress.failed_documents, 1)
+
+
+if __name__ == "__main__":
+    unittest.main()

From 507784b88ac9775d15eb658de0514457e394b4f5 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Wed, 14 Oct 2026 13:29:30 +0200
Subject: [PATCH 23/32] Verify complete output for 3, 10 and 30 GB before
 publication

---
 .../realtime-data-indexing/plot_results.py    | 26 ++++++++++++++++++-
 .../results/10gb-expected-output.json         |  8 ++++++
 .../results/30gb-expected-output.json         |  8 ++++++
 .../results/3gb-expected-output.json          |  8 ++++++
 4 files changed, 49 insertions(+), 1 deletion(-)
 create mode 100644 benchmarks/realtime-data-indexing/results/10gb-expected-output.json
 create mode 100644 benchmarks/realtime-data-indexing/results/30gb-expected-output.json
 create mode 100644 benchmarks/realtime-data-indexing/results/3gb-expected-output.json

diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 80d7d53..ed03590 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -98,6 +98,24 @@ def load(results, sizes=SIZES):
         target_mb = int(size[:-2]) * 1000 if size.endswith('gb') else int(size[:-2])
         if summary['corpus_mb'] < target_mb - 0.1:
             raise ValueError(f"{size}: prepared corpus is smaller than its published target")
+        expected_path = results / f"{size}-expected-output.json"
+        if expected_path.exists():
+            expected = json.loads(expected_path.read_text())
+            if expected['documents'] != summary['documents']:
+                raise ValueError(f"{size}: frozen-corpus file count differs")
+            if size == '50gb':
+                if (summary.get('parsed_documents') != expected['documents']
+                        or summary.get('verified_exact_chunks') != expected['exact_chunks']):
+                    raise ValueError('50gb: full input/output completion was not verified')
+            elif expected['exact_chunks'] != summary['chunks']:
+                raise ValueError(f"{size}: output differs from independent splitter count")
+        elif size in {'100mb', '1gb'}:
+            comparison = json.loads((results / f'{size}-splitter-comparison.json').read_text())
+            if (comparison['files'] != summary['documents']
+                    or comparison['current_chunks'] != summary['chunks']):
+                raise ValueError(f"{size}: output differs from independent splitter count")
+        else:
+            raise ValueError(f"{size}: missing independent output-completeness proof")
         with (results / f"{size}-memory.csv").open() as fh:
             samples = [{k: float(v) for k, v in row.items()} for row in csv.DictReader(fh)]
         peak = max(s["pss_mb"] for s in samples)
@@ -288,7 +306,13 @@ def main():
 Measured from {environment['started_utc']}, on {environment['logical_cpus']} logical CPUs.
 Exact CPU description, RAM, kernel, image ID and installed package versions:
 `run-environment.json`. Resolved compose configurations redact the license key.
-Indexing settings and completion criteria are unchanged from `run_bench.py`.
+The workload, 180-second quiet window, 30-core activity threshold and
+last-counter-increase time formula are retained. Completion also requires
+all input files to be parsed; the repeated 50 GB run verifies its exact
+output against the frozen-corpus count. Earlier measurements that stopped
+prematurely are preserved under `diagnostics/50gb-premature-completion/`
+and excluded. Independent splitter counts confirm complete output for
+the other five sizes.
 
 {published_table}
 
diff --git a/benchmarks/realtime-data-indexing/results/10gb-expected-output.json b/benchmarks/realtime-data-indexing/results/10gb-expected-output.json
new file mode 100644
index 0000000..9768592
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/10gb-expected-output.json
@@ -0,0 +1,8 @@
+{
+  "documents": 3423359,
+  "exact_chunks": 6761214,
+  "corpus_bytes": 10485769151,
+  "dataset": "10gb",
+  "elapsed_seconds": 271.9,
+  "source": "Frozen corpus files; UTF-8 decode and actual build_xpack_splitter, token_count=512; executed in immutable serviette-bench image"
+}
diff --git a/benchmarks/realtime-data-indexing/results/30gb-expected-output.json b/benchmarks/realtime-data-indexing/results/30gb-expected-output.json
new file mode 100644
index 0000000..582c294
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/30gb-expected-output.json
@@ -0,0 +1,8 @@
+{
+  "documents": 9202620,
+  "exact_chunks": 20933962,
+  "corpus_bytes": 31457292331,
+  "dataset": "30gb",
+  "elapsed_seconds": 862.2,
+  "source": "Frozen corpus files; UTF-8 decode and actual build_xpack_splitter, token_count=512; executed in immutable serviette-bench image"
+}
diff --git a/benchmarks/realtime-data-indexing/results/3gb-expected-output.json b/benchmarks/realtime-data-indexing/results/3gb-expected-output.json
new file mode 100644
index 0000000..26bd54b
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/3gb-expected-output.json
@@ -0,0 +1,8 @@
+{
+  "documents": 841890,
+  "exact_chunks": 1888846,
+  "corpus_bytes": 3145728437,
+  "dataset": "3gb",
+  "elapsed_seconds": 132.3,
+  "source": "Frozen corpus files; UTF-8 decode and actual build_xpack_splitter, token_count=512; executed in immutable serviette-bench image"
+}

From 189021c2a15532bc89a95c3cb33299edd81a0bf0 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Wed, 14 Oct 2026 14:59:58 +0200
Subject: [PATCH 24/32] Persist independent status for detached benchmark
 driver


From 305dd0449fc1c02d2f6b3161aa76f60004f6d802 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Thu, 15 Oct 2026 22:25:20 +0200
Subject: [PATCH 25/32] Publish complete 50 GB measurement and consistent
 six-size benchmark report

---
 README.md                                     |   92 +-
 .../results/50gb-compose.json                 |  170 +
 .../results/50gb-memory.csv                   | 4463 +++++++++++++++++
 .../results/50gb-memory.png                   |  Bin 0 -> 81013 bytes
 .../results/50gb-postrun-qdrant.json          |   62 +
 .../results/50gb-processes.jsonl.gz           |  Bin 0 -> 1035214 bytes
 .../results/50gb-summary.json                 |  297 ++
 .../realtime-data-indexing/results/README.md  |  114 +-
 .../results/derived.json                      |  105 +
 .../realtime-data-indexing/results/table.md   |    8 +
 docs/assets/bench-memory-breakdown.png        |  Bin 66027 -> 118031 bytes
 docs/assets/bench-memory.png                  |  Bin 122103 -> 115121 bytes
 12 files changed, 5213 insertions(+), 98 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-compose.json
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-memory.csv
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-memory.png
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-postrun-qdrant.json
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-processes.jsonl.gz
 create mode 100644 benchmarks/realtime-data-indexing/results/50gb-summary.json
 create mode 100644 benchmarks/realtime-data-indexing/results/derived.json
 create mode 100644 benchmarks/realtime-data-indexing/results/table.md

diff --git a/README.md b/README.md
index 8118d87..9f63776 100644
--- a/README.md
+++ b/README.md
@@ -207,62 +207,56 @@ every byte below is extracted text (a PDF collection with the same text
 content would weigh several times more) —
 see [benchmarks/realtime-data-indexing](https://github.com/pathwaycom/serviette/tree/main/benchmarks/realtime-data-indexing):
 
-| corpus | ≈ pages | files | chunks | indexing time | peak memory (PSS) | in Qdrant |
+| corpus target | ≈ pages | files | chunks (approx.) | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |
 |---|---|---|---|---|---|---|
-| 100 MB | 52 000 | 12 969 | 66 136 | 39 s | 6.6 GB | 0.6 GB |
-| 1 GB | 524 000 | 240 516 | 836 595 | 4.8 min | 6.9 GB | 2.2 GB |
-| 3 GB | 1 573 000 | 841 890 | 2 703 850 | 15 min | 7.3 GB | 6.0 GB |
-| 10 GB | 5 243 000 | 3 423 359 | 10 093 514 | 58 min | 7.7 GB | 20.8 GB |
-| 30 GB | 15 729 000 | 9 202 620 | 29 817 294 | 2.9 h | 10.1 GB | 61.3 GB |
-| 50 GB | 26 214 000 | 17 083 603 | 53 913 774 | 5.5 h | 13.1 GB | 107.9 GB |
-
-Documents flow through the pipeline rather than accumulating in it, so
-what stays in memory is short and worth spelling out.
-
-**Grows with the corpus — one thing.** The file-watch index: to detect live
-edits and deletions, the indexer keeps a record (path, mtime, size, owner)
-per watched file. Measured cost: **~318 bytes per file** (paths of typical
-length; ±20% with the hash-table's load factor), verified from 13 thousand
-to 17 million files (right-hand plot: six corpus sizes against one fitted
-line). It scales with the *number of files*, not bytes: the same corpus
-packed into fewer, larger files costs proportionally less.
-
-**Constant, regardless of corpus size.** The embedding stack (PyTorch
-runtime + model, per worker), the engine baseline (~200 MB per process),
-connector machinery (~0.4 GB), and working buffers that reach a plateau in
-the first minutes of a run and stay there — identical on 3 GB and 10 GB.
-
-**On disk, not in memory.** Parsed-text cache, persistence snapshots, and
-the embeddings themselves (in the vector database). That is why the curves
-plateau: a **500× larger corpus costs 2.5× the memory** — and the growth
-that remains is the file-watch index above, i.e. the corpus in fewer files
-would cost less. Indexing time scales linearly with bytes throughout.
+| 100 MB | 52 431 | 12 969 | 53 651 | 44 s | 6.86 | 0.61 |
+| 1 GB | 524 288 | 240 516 | 604 299 | 4.9 min | 6.82 | 1.85 |
+| 3 GB | 1 572 864 | 841 890 | 1 888 846 | 15.4 min | 7.18 | 4.89 |
+| 10 GB | 5 242 884 | 3 423 359 | 6 761 214 | 1.0 h | 8.16 | 16.07 |
+| 30 GB | 15 728 646 | 9 202 620 | 20 933 962 | 3.1 h | 10.40 | 48.57 |
+| 50 GB | 26 214 382 | 17 083 603 | 37 472 786 | 6.0 h | 14.65 | 84.45 |
+
+The table and both figures come from the same six runs. Raw summaries,
+memory samples, per-process snapshots and resolved configurations are in
+[results](benchmarks/realtime-data-indexing/results/README.md).
+Memory and disk sizes use GiB; input labels are nominal targets
+(1 GB = 1,000 MiB of extracted text). A page is approximately 2,000 bytes.
+Chunks are Qdrant's approximate count at completion; the per-size curves
+retain the maximum observed count used by the completion detector.
+
+Documents flow through the pipeline rather than accumulating in it.
+The file-watch index retains metadata per watched file to detect edits and
+deletions, so its cost depends on file count. The right panel estimates this
+cost from the connector worker's extra private memory: the fitted slope is
+**~361 bytes per file**. This proxy also includes unequal worker
+buffers; it does not isolate individual allocations.
+
+The embedding runtime, engine and working buffers account for the worker
+baseline. The curves show how total memory evolves during indexing,
+including any steps as file-watch metadata and buffers grow.
+Parsed-text cache, persistence snapshots and stored embeddings live on disk.
+Across these runs a **500× larger input target costs 2.1× the peak PSS**.
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory.png" alt="Left: indexer PSS over time for corpora from 100 MB to 50 GB, from the run before the allocator tuning; every curve reaches its plateau in the first minutes and holds it for hours. Right: connector-worker extra memory across six corpus sizes follows ~318 bytes per watched file" width="100%">
+  <img src="docs/assets/bench-memory.png" alt="Measured indexer PSS over time for all six corpora; legends use the same peaks as the table. Right: estimated file-watch memory versus file count, fitted at approximately 361 bytes per file." width="100%">
 </p>
-<p align="center"><em>Curves from the run <strong>before</strong> the allocator tuning (peaks 6.6–16.4 GB); the table above has the final numbers from the tuned rerun (6.6–13.1 GB). The shape is the point: each curve reaches its plateau in the first minutes and holds it for the rest of the run — 5.5 hours for 50 GB.</em></p>
-
-The peak itself is dominated by the embedding stack, not the engine — a
-Pathway worker process is ~200 MB; the rest is the price of running
-embeddings locally (8 × PyTorch runtime + model), i.e. of paying no
-per-token API fees. Fewer workers or an API embedder shrink it accordingly.
+<p align="center"><em>All curves and table values come from the same runs with allocator background purging enabled. File-watch memory is estimated from rank-0 private-memory excess over the median of the other workers.</em></p>
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/pathwaycom/serviette/main/docs/assets/bench-memory-breakdown.png" alt="Breakdown of the 10 GB corpus peak as measured in the run before the allocator tuning (8.8 GB): three quarters is the local PyTorch embedding stack across 8 workers; file-watch metadata is about 1.1 GB; supervisors and shared code make up the rest" width="85%">
+  <img src="docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's 8.16 GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
 </p>
-<p align="center"><em>Same earlier run (8.8 GB peak on the 10 GB corpus; 7.7 GB after tuning). The proportions are what matters here: the embedding stack dominates, the engine and the file-watch index are small.</em></p>
-
-Memory is measured as PSS (proportional set size) summed over the container:
-shared pages — e.g. the PyTorch libraries mapped by every worker — are
-counted once, not once per process. Setup: 96-core CPU host, streaming mode,
-8 worker processes, local `static-retrieval-mrl-en-v1` embeddings (no API
-calls; Matryoshka-truncated to 256 dims), 512-token chunks, Qdrant, and
-jemalloc's `background_thread` purging enabled in the indexer containers
-(measured free; it keeps idle workers from retaining freed pages). Numbers
-were measured on a nightly Pathway build whose engine matches the released
-wheel (pathway ≥ 0.32.1 — what the benchmark's docker image and the
-Development section install), so they are reproducible as-is.
+<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. Without the local embedder the indexer's footprint is estimated at 3.27 GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
+
+Setup: 96-logical-CPU host (see the saved CPU model),
+streaming mode, 8 worker processes with 12 OpenMP threads each,
+local `static-retrieval-mrl-en-v1` embeddings, Matryoshka-truncated to 256 dims,
+512-token chunks, Qdrant, and jemalloc `background_thread:true`.
+No embedding API calls. Installed versions: serviette 0.1.7,
+Pathway 0.33.0, PyTorch 2.14.1,
+sentence-transformers 6.1.0.
+Peak memory is the maximum sampled PSS summed over the indexer container.
+Indexing time uses the existing streaming completion criterion; see the
+benchmark scripts and saved results for the full setup.
 
 ### Retrieval accuracy (FRAMES)
 
diff --git a/benchmarks/realtime-data-indexing/results/50gb-compose.json b/benchmarks/realtime-data-indexing/results/50gb-compose.json
new file mode 100644
index 0000000..2ac0c2d
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/50gb-compose.json
@@ -0,0 +1,170 @@
+{
+  "name": "serviette-consistency-bench",
+  "networks": {
+    "default": {
+      "name": "serviette-consistency-bench_default",
+      "ipam": {}
+    }
+  },
+  "services": {
+    "indexer": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "indexer",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OMP_NUM_THREADS": "12",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/50gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    },
+    "qdrant": {
+      "command": null,
+      "entrypoint": null,
+      "image": "qdrant/qdrant:latest",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 6333,
+          "published": "8301",
+          "protocol": "tcp"
+        }
+      ]
+    },
+    "server": {
+      "build": {
+        "context": "/home/sergey/serviette",
+        "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+      },
+      "command": [
+        "python",
+        "-m",
+        "serviette.cli",
+        "server",
+        "--config",
+        "/bench/config.yaml"
+      ],
+      "depends_on": {
+        "qdrant": {
+          "condition": "service_started",
+          "required": true
+        }
+      },
+      "entrypoint": null,
+      "environment": {
+        "HF_HOME": "/hf-cache",
+        "HF_HUB_OFFLINE": "1",
+        "MALLOC_ARENA_MAX": "",
+        "OPENAI_API_KEY": "x",
+        "PATHWAY_LICENSE_KEY": "<redacted>",
+        "_RJEM_MALLOC_CONF": "background_thread:true"
+      },
+      "image": "serviette-bench",
+      "networks": {
+        "default": null
+      },
+      "ports": [
+        {
+          "mode": "ingress",
+          "host_ip": "127.0.0.1",
+          "target": 8000,
+          "published": "8300",
+          "protocol": "tcp"
+        }
+      ],
+      "volumes": [
+        {
+          "type": "bind",
+          "source": "/home/sergey/.cache/huggingface",
+          "target": "/hf-cache",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/50gb/docs",
+          "target": "/data/docs",
+          "read_only": true,
+          "bind": {}
+        },
+        {
+          "type": "bind",
+          "source": "/home/sergey/serviette/benchmarks/realtime-data-indexing/config.yaml",
+          "target": "/bench/config.yaml",
+          "read_only": true,
+          "bind": {}
+        }
+      ]
+    }
+  },
+  "x-serviette": {
+    "build": {
+      "context": "../..",
+      "dockerfile": "benchmarks/realtime-data-indexing/Dockerfile"
+    },
+    "environment": {
+      "HF_HOME": "/hf-cache",
+      "HF_HUB_OFFLINE": "1",
+      "MALLOC_ARENA_MAX": "",
+      "OPENAI_API_KEY": "x",
+      "PATHWAY_LICENSE_KEY": "PV3L-4L4N-TF7R-JWM7-LKVK-PX3E-FHTX-KMNC",
+      "_RJEM_MALLOC_CONF": "background_thread:true"
+    },
+    "image": "serviette-bench",
+    "volumes": [
+      "~/.cache/huggingface:/hf-cache:ro",
+      "/mnt/scratch/sergey/serviette-consistency-20261012/datasets/50gb/docs:/data/docs:ro",
+      "./config.yaml:/bench/config.yaml:ro"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/50gb-memory.csv b/benchmarks/realtime-data-indexing/results/50gb-memory.csv
new file mode 100644
index 0000000..2c2ef4f
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/50gb-memory.csv
@@ -0,0 +1,4463 @@
+elapsed_s,rss_mb,hwm_mb,pss_mb,chunks
+12.5,2585.5,2585.6,1723.1,0
+16.4,6424.5,6424.5,3954.5,0
+20.6,8696.0,8696.0,5484.7,0
+24.9,10245.1,10295.4,6814.0,0
+29.0,10343.1,10343.1,6912.0,0
+33.2,10445.0,10448.3,7012.5,0
+37.7,10546.9,10550.1,7114.2,0
+42.0,10645.7,10658.3,7213.1,0
+46.2,10753.8,10766.4,7321.3,0
+50.3,10858.3,10870.9,7425.8,0
+54.4,10958.5,11106.0,7525.9,0
+58.6,11060.8,11106.1,7628.0,0
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diff --git a/benchmarks/realtime-data-indexing/results/50gb-postrun-qdrant.json b/benchmarks/realtime-data-indexing/results/50gb-postrun-qdrant.json
new file mode 100644
index 0000000..d259be5
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/50gb-postrun-qdrant.json
@@ -0,0 +1,62 @@
+{
+  "exact_count": {
+    "result": {
+      "count": 37472786
+    },
+    "status": "ok",
+    "time": 6.670093051
+  },
+  "collection": {
+    "result": {
+      "status": "green",
+      "optimizer_status": "ok",
+      "indexed_vectors_count": 37472786,
+      "points_count": 37472786,
+      "segments_count": 11,
+      "config": {
+        "params": {
+          "vectors": {
+            "embedding": {
+              "size": 256,
+              "distance": "Cosine"
+            }
+          },
+          "shard_number": 1,
+          "replication_factor": 1,
+          "write_consistency_factor": 1,
+          "on_disk_payload": true
+        },
+        "hnsw_config": {
+          "m": 16,
+          "ef_construct": 100,
+          "full_scan_threshold": 10000,
+          "max_indexing_threads": 0,
+          "on_disk": false
+        },
+        "optimizer_config": {
+          "deleted_threshold": 0.2,
+          "vacuum_min_vector_number": 1000,
+          "default_segment_number": 0,
+          "max_segment_size": null,
+          "memmap_threshold": null,
+          "indexing_threshold": 10000,
+          "flush_interval_sec": 5,
+          "max_optimization_threads": null
+        },
+        "wal_config": {
+          "wal_capacity_mb": 32,
+          "wal_segments_ahead": 0,
+          "wal_retain_closed": 1
+        },
+        "quantization_config": null,
+        "strict_mode_config": {
+          "enabled": false
+        }
+      },
+      "payload_schema": {}
+    },
+    "status": "ok",
+    "time": 0.373571209
+  },
+  "note": "Independent post-run check; published chunk count retains the original approximate-count methodology"
+}
diff --git a/benchmarks/realtime-data-indexing/results/50gb-processes.jsonl.gz b/benchmarks/realtime-data-indexing/results/50gb-processes.jsonl.gz
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diff --git a/benchmarks/realtime-data-indexing/results/50gb-summary.json b/benchmarks/realtime-data-indexing/results/50gb-summary.json
new file mode 100644
index 0000000..3dec179
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/50gb-summary.json
@@ -0,0 +1,297 @@
+{
+  "dataset": "50gb",
+  "corpus_mb": 50000.0,
+  "documents": 17083603,
+  "parsed_documents": 17083603,
+  "expected_chunks": 37472786,
+  "verified_exact_chunks": 37472786,
+  "chunks": 37472786,
+  "max_observed_chunks": 37538908,
+  "chunk_count_metric": "Qdrant approximate count at completion; CSV chunks is the maximum observed count",
+  "indexing_seconds": 21696.7,
+  "throughput_mb_per_min": 138.27,
+  "peak_rss_mb": 19329.3,
+  "peak_pss_mb": 15005.0,
+  "peak_processes": [
+    {
+      "pid": 1,
+      "worker_rank": null,
+      "VmHWM": 1026128,
+      "VmRSS": 1026128,
+      "Pss": 661645,
+      "Private_Clean": 192,
+      "Private_Dirty": 619144,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 49862,
+          "private_kb": 19860
+        },
+        "other": {
+          "Pss": 611273,
+          "private_kb": 599476
+        }
+      }
+    },
+    {
+      "pid": 131,
+      "worker_rank": null,
+      "VmHWM": 203192,
+      "VmRSS": 203192,
+      "Pss": 127389,
+      "Private_Clean": 212,
+      "Private_Dirty": 118460,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 0,
+          "private_kb": 0
+        },
+        "other": {
+          "Pss": 127180,
+          "private_kb": 118672
+        }
+      }
+    },
+    {
+      "pid": 146,
+      "worker_rank": 0,
+      "VmHWM": 10140564,
+      "VmRSS": 8319676,
+      "Pss": 7821336,
+      "Private_Clean": 756,
+      "Private_Dirty": 7757932,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64443,
+          "private_kb": 19900
+        },
+        "other": {
+          "Pss": 7756377,
+          "private_kb": 7738788
+        }
+      }
+    },
+    {
+      "pid": 147,
+      "worker_rank": 1,
+      "VmHWM": 1482860,
+      "VmRSS": 1455256,
+      "Pss": 960982,
+      "Private_Clean": 1212,
+      "Private_Dirty": 894580,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 68050,
+          "private_kb": 20632
+        },
+        "other": {
+          "Pss": 892414,
+          "private_kb": 875160
+        }
+      }
+    },
+    {
+      "pid": 148,
+      "worker_rank": 2,
+      "VmHWM": 1505668,
+      "VmRSS": 1484532,
+      "Pss": 985338,
+      "Private_Clean": 340,
+      "Private_Dirty": 922124,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64921,
+          "private_kb": 19944
+        },
+        "other": {
+          "Pss": 919900,
+          "private_kb": 902520
+        }
+      }
+    },
+    {
+      "pid": 149,
+      "worker_rank": 3,
+      "VmHWM": 1481272,
+      "VmRSS": 1463444,
+      "Pss": 962441,
+      "Private_Clean": 88,
+      "Private_Dirty": 900628,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64511,
+          "private_kb": 19868
+        },
+        "other": {
+          "Pss": 897418,
+          "private_kb": 880848
+        }
+      }
+    },
+    {
+      "pid": 150,
+      "worker_rank": 4,
+      "VmHWM": 1486244,
+      "VmRSS": 1465708,
+      "Pss": 965231,
+      "Private_Clean": 216,
+      "Private_Dirty": 903224,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64582,
+          "private_kb": 19900
+        },
+        "other": {
+          "Pss": 900136,
+          "private_kb": 883540
+        }
+      }
+    },
+    {
+      "pid": 151,
+      "worker_rank": 5,
+      "VmHWM": 1479416,
+      "VmRSS": 1460408,
+      "Pss": 963530,
+      "Private_Clean": 1676,
+      "Private_Dirty": 896860,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 67509,
+          "private_kb": 20060
+        },
+        "other": {
+          "Pss": 895499,
+          "private_kb": 878476
+        }
+      }
+    },
+    {
+      "pid": 152,
+      "worker_rank": 6,
+      "VmHWM": 1492516,
+      "VmRSS": 1472604,
+      "Pss": 975371,
+      "Private_Clean": 1864,
+      "Private_Dirty": 911452,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64378,
+          "private_kb": 19868
+        },
+        "other": {
+          "Pss": 910482,
+          "private_kb": 893448
+        }
+      }
+    },
+    {
+      "pid": 153,
+      "worker_rank": 7,
+      "VmHWM": 1476656,
+      "VmRSS": 1442236,
+      "Pss": 941850,
+      "Private_Clean": 208,
+      "Private_Dirty": 879580,
+      "mapping_groups": {
+        "embedding": {
+          "Pss": 64450,
+          "private_kb": 19844
+        },
+        "other": {
+          "Pss": 876887,
+          "private_kb": 859944
+        }
+      }
+    }
+  ],
+  "peak_elapsed_s": 21837.5939020887,
+  "jemalloc_conf": "background_thread:true",
+  "omp_threads": 12,
+  "indexer_cpu_seconds": 194611.7,
+  "avg_parallelism": 9.0,
+  "vector_db_disk_mb": 86481.0,
+  "qdrant_image_id": "sha256:0ad2e23181e5646b286253c04cea23f07040ca313cc377d9fa7b21db184b6406",
+  "vector_db_mb_per_corpus_mb": 1.73,
+  "retrieval_accuracy": "13/20",
+  "embedder": "sentence-transformers/static-retrieval-mrl-en-v1 (local, 256 dims)",
+  "approx_text_pages": 26214382,
+  "accuracy_misses": [
+    {
+      "expected": "0000/6000-Tom-Tango.txt",
+      "query": "Tom Tango: Tom Tango and \"TangoTiger\" are aliases used online by a baseball sabermetrics and ice hockey statistics analy",
+      "got": [
+        "0546/9191-Tango-music.txt",
+        "0543/5737-Tango.txt",
+        "0598/4990-History-of-the-tango.txt",
+        "0546/9191-Tango-music.txt",
+        "0295/8960-Histoire-du-Tango.txt"
+      ]
+    },
+    {
+      "expected": "0001/6000-Ricky-Fuji.txt",
+      "query": "Ricky Fuji: (born September 27, 1965) better known under his ring name  is a Japanese professional wrestler currently si",
+      "got": [
+        "0592/7826-Kazuyuki-Fujita.txt",
+        "0369/6383-Sho-wrestler.txt",
+        "0592/1210-Tatsumi-Fujinami.txt",
+        "0454/6595-Daiki-Inaba.txt",
+        "0321/0463-Jeff-Cobb.txt"
+      ]
+    },
+    {
+      "expected": "0003/2000-Theroigne-de-Mericourt.txt",
+      "query": "Theroigne de Mericourt: Anne-Jos\u00e8phe Th\u00e9roigne de M\u00e9ricourt (born Anne-Jos\u00e8phe Terwagne; 13 August 1762 \u2013 8 June 1817) w",
+      "got": [
+        "0966/4911-Coalition-d-Auvergne.txt",
+        "0023/8794-Jean-Baptiste-Jacques-Augustin.txt",
+        "0541/4392-List-of-French-language-authors.txt",
+        "1439/0373-Parlamento-di-Provenza.txt",
+        "0918/6788-Liste-des-membres-de-l-exp-dition-de-La-P-rouse.txt"
+      ]
+    },
+    {
+      "expected": "0003/6000-Black-capped-fruit-bat.txt",
+      "query": "Black-capped fruit bat: The black-capped fruit bat (Chironax melanocephalus) is a species of megabat in the monotypic ge",
+      "got": [
+        "0551/7828-Leaf-nosed-bat.txt",
+        "0033/2843-Black-winged-little-yellow-bat.txt",
+        "0046/2629-Antillean-fruit-eating-bat.txt",
+        "0100/5548-List-of-bats.txt",
+        "0585/7845-Jamaican-fruit-bat.txt"
+      ]
+    },
+    {
+      "expected": "0005/0000-Clockers-film.txt",
+      "query": "Clockers (film): Clockers is a 1995 American crime drama film directed by Spike Lee.",
+      "got": [
+        "0143/2934-Clocker.txt",
+        "0734/5709-Clock.txt",
+        "0577/8055-The-Big-Clock-film.txt",
+        "0012/9555-The-Big-Clock.txt",
+        "0233/9531-Sidewalk-clock-on-Jamaica-Avenue.txt"
+      ]
+    },
+    {
+      "expected": "0005/6000-Jamie-Mueller.txt",
+      "query": "Jamie Mueller: Jamie F.",
+      "got": [
+        "0285/7552-Jamie-disambiguation.txt",
+        "0000/6975-Jamie.txt",
+        "0000/6975-Jamie.txt",
+        "0623/5680-Jamie-Oliver.txt",
+        "0000/6975-Jamie.txt"
+      ]
+    },
+    {
+      "expected": "0005/8000-Ruhleben-internment-camp.txt",
+      "query": "Ruhleben internment camp: Ruhleben internment camp was a civilian detention camp in Germany during World War I.",
+      "got": [
+        "1390/4284-Ngamiland-Delta.txt",
+        "0700/8955-Ruhleben-Begriffskl-rung.txt",
+        "0793/4665-D-hlener-Wetterschacht.txt",
+        "0624/8269-Ruhleben.txt",
+        "0674/3640-Friedrich-G-nther-Schwarzburg-Rudolstadt.txt"
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index a9fb28a..a14ac48 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -1,57 +1,73 @@
-# Indexing benchmark rerun — in progress
+# Indexing benchmark results
 
-Started 2026-10-12. All six sizes run sequentially with the published
-configuration: streaming, eight workers, 12 OpenMP threads per worker,
-local static embeddings truncated to 256 dimensions, 512-token chunks,
-Qdrant and jemalloc background purging. Exact host and package versions
-are recorded in `run-environment.json`. Resolved compose files redact secrets.
+Measured from 2026-10-12T19:00:22.529304+00:00, on 96 logical CPUs.
+Exact CPU description, RAM, kernel, image ID and installed package versions:
+`run-environment.json`. Resolved compose configurations redact the license key.
+The workload, 180-second quiet window, 30-core activity threshold and
+last-counter-increase time formula are retained. Completion also requires
+all input files to be parsed; the repeated 50 GB run verifies its exact
+output against the frozen-corpus count. Earlier measurements that stopped
+prematurely are preserved under `diagnostics/50gb-premature-completion/`
+and excluded. Independent splitter counts confirm complete output for
+the other five sizes.
 
-Completed:
-
-| corpus | files | chunks | indexing time | peak PSS (GiB) | Qdrant disk (GiB) | retrieval |
+| corpus target | ≈ pages | files | chunks (approx.) | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |
 |---|---|---|---|---|---|---|
-| 100 MB | 12 969 | 53 651 | 44.0 s | 6.86 | 0.61 | 5/5 |
-| 1 GB | 240 516 | 604 299 | 293.6 s | 6.82 | 1.85 | 18/20 |
-| 3 GB | 841 890 | 1 888 846 | 921.9 s | 7.18 | 4.89 | 17/20 |
-| 10 GB | 3 423 359 | 6 761 214 | 3620.7 s | 8.16 | 16.07 | 17/20 |
-| 30 GB | 9 202 620 | 20 933 962 | 11028.8 s | 10.40 | 48.57 | 14/20 |
+| 100 MB | 52 431 | 12 969 | 53 651 | 44 s | 6.86 | 0.61 |
+| 1 GB | 524 288 | 240 516 | 604 299 | 4.9 min | 6.82 | 1.85 |
+| 3 GB | 1 572 864 | 841 890 | 1 888 846 | 15.4 min | 7.18 | 4.89 |
+| 10 GB | 5 242 884 | 3 423 359 | 6 761 214 | 1.0 h | 8.16 | 16.07 |
+| 30 GB | 15 728 646 | 9 202 620 | 20 933 962 | 3.1 h | 10.40 | 48.57 |
+| 50 GB | 26 214 382 | 17 083 603 | 37 472 786 | 6.0 h | 14.65 | 84.45 |
 
-The old 100 MB row reported 66,136 chunks, 39 s, 6.6 GB peak PSS and
-0.6 GB Qdrant storage. The file count is unchanged. The entire corpus was
-also split offline using stock `TokenCountSplitter(max_tokens=512)`:
-66,136 chunks, of which 12,485 are trailing fragments below 100 characters
-with a preceding chunk. The current serviette splitter merges those tails;
-66,136 − 12,485 = 53,651 exactly. Saved as `100mb-splitter-comparison.json`.
-This is a product change introduced in commit `3750fef`, not a benchmark
-configuration change. No source documents are missing.
+Input labels retain the published nominal sizes: 1 GB means a target of
+1,000 MiB of text; 100 MB means 100 MiB. Memory and disk columns use GiB;
+CSV columns ending in `_mb` contain MiB. Pages use 2,000 bytes per page.
+The 50 GB input restores the historical Portuguese/Dutch continuation and
+matches the archived file count and approximate page count. Strictly filling
+the nominal byte target adds 20 trailing Dutch articles (35,697 bytes);
+these are preserved outside the input to reproduce the published cutoff.
+`50gb-preparation.json` and `50gb-preparation-full-target.json` record both
+boundaries. The earlier five-language run stopped at 45,323.8 MiB; it is
+preserved in `diagnostics/50gb-insufficient-corpus/` and excluded from this
+publication and direct performance comparisons.
 
-Each completed size saves aggregate CSV, summary JSON, per-size PSS PNG,
-compressed per-process JSONL, redacted compose JSON and compressed indexer
-logs. The CSV is written during execution. Peak PSS is the maximum sampled
-container sum; data collection continues during the existing completion
-window. `_mb` fields contain MiB. Input targets are nominally labeled:
-100 MB means 100 MiB and 1 GB means 1,000 MiB of text.
+Peaks are the maximum sampled total PSS, not kernel high-water marks.
+Sampling continues through the existing completion window.
+The chunk-count methodology is unchanged: the summary uses Qdrant's
+approximate count at completion, while CSV `chunks` retains the maximum
+observed count used by the completion detector. Segment optimization can
+reduce approximate counts, so these two fields need not be identical;
+`max_observed_chunks` records the CSV's value in the summary explicitly.
 
-The publication will be regenerated only after all six sizes complete and
-the plotting script validates the summaries against their CSVs and process
-snapshots. Its final result notes will replace this progress page.
+`*-memory.csv` and `*-processes.jsonl.gz` record aggregate and per-process
+measurements at the same times; `*-summary.json` includes the process snapshot
+at peak PSS. `*-indexer.txt.gz` contains the container log.
 
-Qdrant approximate counts can fall during segment optimization. CSV `chunks`
-records the completion detector's maximum observed count, and summary
-`max_observed_chunks` preserves it explicitly; summary `chunks` is the
-approximate count at completion. On 1 GB these are 604,598 and 604,299.
-These fields retain the existing benchmark methodology, and are not exact
-allocation or point-count audits.
+The right panel estimates file-watch memory as rank 0's private-page excess
+over the median of the seven other workers at the final sample. It includes
+any other unequal worker allocations; it is not an allocation-level measurement.
+The line is a least-squares fit with an intercept (~361 bytes per file;
+fixed overhead estimate 45.9 MiB).
+The pie attributes local-embedding private memory using an eight-process
+controlled diagnostic in the same image: graph imports before the embedder,
+UTF-8 parser and configured splitter initialized and warmed, embedding
+runtime imported, model loaded and warmed on three 2,048-text batches, then
+model released. `embedder-calibration.json` records all stages. The private
+increment after warming estimates the local stack's private cost across eight
+workers. This is capped at the observed non-file-watch worker private memory
+minus the calibrated pre-embedder baseline, since live and diagnostic buffers
+have different lifetimes. Supervisor private pages are left in the residual;
+any embedding allocations there are not subtracted speculatively.
+Shared embedding-library PSS starts from mapping samples at the 10 GB peak
+and is capped by the diagnostic's shared-library increment, so libraries
+already needed by the parser are retained in the residual. Other shared
+pages are separated. Anonymous attribution
+and the indexer-without-local-embedder figure are estimates, not an actual
+external-service benchmark; client overhead and changes in working buffers
+are not measured. The embedding service's own memory is outside that figure.
+Derived values are saved in `derived.json`.
 
-The local-embedder diagnostic (`embedder-calibration.json`) separately runs
-eight workers in the same image/environment. The baseline includes warmed
-UTF-8 parsing and the configured splitter, which remain necessary with a
-remote embedder. Measurements were taken between the 30 GB and 50 GB sizes.
-The diagnostic's private-page increment is 5.17 GiB. Attribution at the
-actual 10 GB peak caps it at observed worker memory minus that baseline:
-4.60 GiB private embedding memory plus 0.28 GiB shared library PSS.
-The remaining indexer footprint is estimated at 3.27 GiB, excluding an
-external embedding service and unmeasured client/buffer changes. Other
-shared pages remain in the residual. The saved `10gb-breakdown.json` and
-`10gb-memory-breakdown.png` use the same measured 8.16 GiB peak; attribution
-is an estimate rather than an external-service benchmark.
+Regenerate with `python plot_results.py --update-readme`.
+The script checks CSV peaks, chunk counts and process snapshots against summaries
+and requires all six sizes before updating the publication.
diff --git a/benchmarks/realtime-data-indexing/results/derived.json b/benchmarks/realtime-data-indexing/results/derived.json
new file mode 100644
index 0000000..45ea66a
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/derived.json
@@ -0,0 +1,105 @@
+{
+  "connector_bytes_per_file_estimate": 360.973937266504,
+  "connector_fixed_overhead_bytes_estimate": 48147350.7307731,
+  "peak_memory_ratio": 2.134788299567494,
+  "runs": [
+    {
+      "size": "100mb",
+      "peak_components": {
+        "workers_private_mb": 5722.9921875,
+        "connector_extra_mb_estimate": 98.18359375,
+        "supervisors_private_mb": 666.4375,
+        "shared_pss_mb": 541.181640625
+      },
+      "final_components": {
+        "workers_private_mb": 5656.12890625,
+        "connector_extra_mb_estimate": 98.06640625,
+        "supervisors_private_mb": 666.4375,
+        "shared_pss_mb": 534.6943359375
+      }
+    },
+    {
+      "size": "1gb",
+      "peak_components": {
+        "workers_private_mb": 5574.11328125,
+        "connector_extra_mb_estimate": 197.2109375,
+        "supervisors_private_mb": 666.3984375,
+        "shared_pss_mb": 543.037109375
+      },
+      "final_components": {
+        "workers_private_mb": 5541.84765625,
+        "connector_extra_mb_estimate": 193.98828125,
+        "supervisors_private_mb": 666.3984375,
+        "shared_pss_mb": 543.044921875
+      }
+    },
+    {
+      "size": "3gb",
+      "peak_components": {
+        "workers_private_mb": 5761.92578125,
+        "connector_extra_mb_estimate": 330.859375,
+        "supervisors_private_mb": 715.20703125,
+        "shared_pss_mb": 543.8564453125
+      },
+      "final_components": {
+        "workers_private_mb": 5758.62890625,
+        "connector_extra_mb_estimate": 291.51171875,
+        "supervisors_private_mb": 715.20703125,
+        "shared_pss_mb": 543.8369140625
+      }
+    },
+    {
+      "size": "10gb",
+      "peak_components": {
+        "workers_private_mb": 5969.25,
+        "connector_extra_mb_estimate": 1184.8359375,
+        "supervisors_private_mb": 666.98828125,
+        "shared_pss_mb": 537.5595703125
+      },
+      "final_components": {
+        "workers_private_mb": 5968.08984375,
+        "connector_extra_mb_estimate": 1104.76953125,
+        "supervisors_private_mb": 666.9921875,
+        "shared_pss_mb": 537.5859375
+      }
+    },
+    {
+      "size": "30gb",
+      "peak_components": {
+        "workers_private_mb": 6179.609375,
+        "connector_extra_mb_estimate": 3275.96484375,
+        "supervisors_private_mb": 666.48828125,
+        "shared_pss_mb": 531.7294921875
+      },
+      "final_components": {
+        "workers_private_mb": 6090.828125,
+        "connector_extra_mb_estimate": 3269.671875,
+        "supervisors_private_mb": 666.48828125,
+        "shared_pss_mb": 531.7255859375
+      }
+    },
+    {
+      "size": "50gb",
+      "peak_components": {
+        "workers_private_mb": 7045.671875,
+        "connector_extra_mb_estimate": 6697.23828125,
+        "supervisors_private_mb": 720.7109375,
+        "shared_pss_mb": 541.3720703125
+      },
+      "final_components": {
+        "workers_private_mb": 7044.953125,
+        "connector_extra_mb_estimate": 5922.1484375,
+        "supervisors_private_mb": 720.7109375,
+        "shared_pss_mb": 541.3662109375
+      }
+    }
+  ],
+  "10gb_embedder_breakdown": {
+    "local_embedder_private_mb_estimate": 4713.703125,
+    "local_embedder_shared_libraries_mb": 291.4873046875,
+    "file_watch_mb_estimate": 1184.8359375,
+    "remaining_indexer_private_mb_estimate": 1922.53515625,
+    "other_shared_mb": 246.072265625
+  },
+  "10gb_indexer_without_local_embedder_mb_estimate": 3353.4095703125004
+}
diff --git a/benchmarks/realtime-data-indexing/results/table.md b/benchmarks/realtime-data-indexing/results/table.md
new file mode 100644
index 0000000..603f397
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/table.md
@@ -0,0 +1,8 @@
+| corpus target | ≈ pages | files | chunks (approx.) | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |
+|---|---|---|---|---|---|---|
+| 100 MB | 52 431 | 12 969 | 53 651 | 44 s | 6.86 | 0.61 |
+| 1 GB | 524 288 | 240 516 | 604 299 | 4.9 min | 6.82 | 1.85 |
+| 3 GB | 1 572 864 | 841 890 | 1 888 846 | 15.4 min | 7.18 | 4.89 |
+| 10 GB | 5 242 884 | 3 423 359 | 6 761 214 | 1.0 h | 8.16 | 16.07 |
+| 30 GB | 15 728 646 | 9 202 620 | 20 933 962 | 3.1 h | 10.40 | 48.57 |
+| 50 GB | 26 214 382 | 17 083 603 | 37 472 786 | 6.0 h | 14.65 | 84.45 |
diff --git a/docs/assets/bench-memory-breakdown.png b/docs/assets/bench-memory-breakdown.png
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From 0d48cd9d32a275d41d415ff7ff704da33ada77aa Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Thu, 15 Oct 2026 22:26:20 +0200
Subject: [PATCH 26/32] Audit every benchmark sample and record publication
 consistency

---
 benchmarks/realtime-data-indexing/README.md   |  6 ++
 .../realtime-data-indexing/plot_results.py    |  3 +
 .../realtime-data-indexing/results/README.md  |  3 +
 .../results/consistency-check.json            | 50 ++++++++++++
 .../realtime-data-indexing/verify_results.py  | 78 +++++++++++++++++++
 5 files changed, 140 insertions(+)
 create mode 100644 benchmarks/realtime-data-indexing/results/consistency-check.json
 create mode 100644 benchmarks/realtime-data-indexing/verify_results.py

diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index 8dfc64c..f3133f5 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -106,3 +106,9 @@ excluding the embedding service itself. Anonymous-memory attribution uses
 the separate diagnostic and remains an estimate; shared library pages come
 from the main run's mappings.
 See `results/README.md` for the recorded setup and attribution formula.
+
+After rebuilding, run `python verify_results.py` to independently check
+every aggregate sample against its per-process snapshot, recompute peaks
+and indexing times, compare all published tables, and verify the pie sum
+and complete 50 GB output. The saved `results/consistency-check.json`
+records the checks and hashes of both published figures.
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index ed03590..33d17ab 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -359,6 +359,9 @@ def main():
 Regenerate with `python plot_results.py --update-readme`.
 The script checks CSV peaks, chunk counts and process snapshots against summaries
 and requires all six sizes before updating the publication.
+Run `python verify_results.py` after regeneration to audit every process sample,
+all published tables and the pie sum; `consistency-check.json` records the
+result and hashes of both published figures.
 """
     (args.results / "README.md").write_text(notes)
     if args.update_readme:
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index a14ac48..0699cb0 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -71,3 +71,6 @@ Derived values are saved in `derived.json`.
 Regenerate with `python plot_results.py --update-readme`.
 The script checks CSV peaks, chunk counts and process snapshots against summaries
 and requires all six sizes before updating the publication.
+Run `python verify_results.py` after regeneration to audit every process sample,
+all published tables and the pie sum; `consistency-check.json` records the
+result and hashes of both published figures.
diff --git a/benchmarks/realtime-data-indexing/results/consistency-check.json b/benchmarks/realtime-data-indexing/results/consistency-check.json
new file mode 100644
index 0000000..02d7a80
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/consistency-check.json
@@ -0,0 +1,50 @@
+{
+  "status": "passed",
+  "sizes": 6,
+  "runs": [
+    {
+      "size": "100mb",
+      "samples_checked": 60,
+      "peak_pss_gib": 6.8640625,
+      "last_chunk_increase_seconds": 44.0
+    },
+    {
+      "size": "1gb",
+      "samples_checked": 128,
+      "peak_pss_gib": 6.8171875,
+      "last_chunk_increase_seconds": 293.6
+    },
+    {
+      "size": "3gb",
+      "samples_checked": 238,
+      "peak_pss_gib": 7.1794921875,
+      "last_chunk_increase_seconds": 921.9
+    },
+    {
+      "size": "10gb",
+      "samples_checked": 813,
+      "peak_pss_gib": 8.1626953125,
+      "last_chunk_increase_seconds": 3620.7
+    },
+    {
+      "size": "30gb",
+      "samples_checked": 2308,
+      "peak_pss_gib": 10.4041015625,
+      "last_chunk_increase_seconds": 11028.8
+    },
+    {
+      "size": "50gb",
+      "samples_checked": 4462,
+      "peak_pss_gib": 14.6533203125,
+      "last_chunk_increase_seconds": 21696.7
+    }
+  ],
+  "tables_identical": true,
+  "all_process_samples_match_csv": true,
+  "pie_components_match_measured_peak": true,
+  "external_embedder_indexer_gib_estimate": 3.274814033508301,
+  "figure_sha256": {
+    "bench-memory.png": "4b74528dc3b7c90634507db0f79b2b5cbe35f36f757fabb568a0a699338f9b38",
+    "bench-memory-breakdown.png": "f92fd7c3f296a9d77b3bc32ae577dffe3a91061045d81b180d5076c5f41f7a84"
+  }
+}
diff --git a/benchmarks/realtime-data-indexing/verify_results.py b/benchmarks/realtime-data-indexing/verify_results.py
new file mode 100644
index 0000000..bf3982d
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/verify_results.py
@@ -0,0 +1,78 @@
+"""Audit published tables against every saved memory/process sample."""
+import csv
+import gzip
+import hashlib
+import json
+
+from plot_results import REPO, ROOT, SIZES, load, table
+
+
+def verify():
+    results = ROOT / "results"
+    runs = load(results)
+    published = table(runs)
+    for path in [REPO / "README.md", results / "README.md", results / "table.md"]:
+        assert published in path.read_text(), f"Different table in {path}"
+    audited = []
+    for run in runs:
+        size, summary = run["size"], run["summary"]
+        with (results / f"{size}-memory.csv").open() as stream:
+            rows = list(csv.DictReader(stream))
+        previous_time = previous_chunks = -1
+        last_increase = peak = 0
+        peak_time = 0
+        with gzip.open(results / f"{size}-processes.jsonl.gz", "rt") as stream:
+            count = 0
+            for row in rows:
+                line = stream.readline()
+                assert line, f"{size}: missing process sample"
+                sample = json.loads(line)
+                elapsed, chunks = float(row["elapsed_s"]), int(row["chunks"])
+                assert elapsed > previous_time, f"{size}: nonmonotonic sample time"
+                assert chunks >= previous_chunks, f"{size}: decreasing high-water count"
+                assert abs(elapsed - sample["elapsed_s"]) <= 0.11
+                for column, metric in [("pss_mb", "Pss"), ("rss_mb", "VmRSS")]:
+                    measured = sum(p.get(metric, 0) for p in sample["processes"]) / 1024
+                    assert abs(float(row[column]) - measured) <= 0.11, (size, column, elapsed)
+                pss = sum(p.get("Pss", 0) for p in sample["processes"]) / 1024
+                if pss > peak:
+                    peak, peak_time = pss, elapsed
+                if chunks > previous_chunks and chunks > 0:
+                    last_increase = elapsed
+                previous_time, previous_chunks = elapsed, chunks
+                count += 1
+            assert not stream.readline(), f"{size}: extra process samples"
+        assert abs(peak - summary["peak_pss_mb"]) <= 0.11
+        assert abs(peak_time - summary["peak_elapsed_s"]) <= 0.11
+        assert abs(last_increase - summary["indexing_seconds"]) <= 0.11
+        assert abs(sum(run["peak_components"].values()) - peak) <= 0.11
+        assert (results / f"{size}-memory.png").is_file()
+        audited.append({"size": size, "samples_checked": count,
+                        "peak_pss_gib": summary["peak_pss_mb"] / 1024,
+                        "last_chunk_increase_seconds": last_increase})
+    expected = json.loads((results / "50gb-expected-output.json").read_text())
+    backend = json.loads((results / "50gb-postrun-qdrant.json").read_text())
+    assert backend["exact_count"]["result"]["count"] == expected["exact_chunks"]
+    derived = json.loads((results / "derived.json").read_text())
+    ten = next(r for r in runs if r["size"] == "10gb")["summary"]
+    components = derived["10gb_embedder_breakdown"]
+    assert abs(sum(components.values()) - ten["peak_pss_mb"]) <= 0.11
+    remaining = (ten["peak_pss_mb"] - components["local_embedder_private_mb_estimate"]
+                 - components["local_embedder_shared_libraries_mb"])
+    assert remaining == derived["10gb_indexer_without_local_embedder_mb_estimate"]
+    assert derived["peak_memory_ratio"] == runs[-1]["summary"]["peak_pss_mb"] / runs[0]["summary"]["peak_pss_mb"]
+    assets = [REPO / "docs/assets" / name for name in ["bench-memory.png", "bench-memory-breakdown.png"]]
+    readme = (REPO / "README.md").read_text()
+    for path in assets:
+        assert f'src="docs/assets/{path.name}"' in readme
+    report = {"status": "passed", "sizes": len(SIZES), "runs": audited,
+              "tables_identical": True, "all_process_samples_match_csv": True,
+              "pie_components_match_measured_peak": True,
+              "external_embedder_indexer_gib_estimate": remaining / 1024,
+              "figure_sha256": {p.name: hashlib.sha256(p.read_bytes()).hexdigest() for p in assets}}
+    (results / "consistency-check.json").write_text(json.dumps(report, indent=2) + "\n")
+    print(json.dumps(report, indent=2))
+
+
+if __name__ == "__main__":
+    verify()

From ffa424855cce1a11f73dd9e49ffbae2330f1af10 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Thu, 15 Oct 2026 22:31:42 +0200
Subject: [PATCH 27/32] Keep raw benchmark logs outside Git

---
 .gitignore                                          | 2 ++
 benchmarks/realtime-data-indexing/README.md         | 3 ++-
 benchmarks/realtime-data-indexing/plot_results.py   | 3 ++-
 benchmarks/realtime-data-indexing/results/README.md | 3 ++-
 4 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/.gitignore b/.gitignore
index a41acf1..2274e14 100644
--- a/.gitignore
+++ b/.gitignore
@@ -222,6 +222,8 @@ benchmarks/*/datasets/
 benchmarks/*/results/
 !benchmarks/realtime-data-indexing/results/
 benchmarks/realtime-data-indexing/results/.rerun.lock
+# Keep raw stdout/stderr logs local; commit only benchmark measurements/reports.
+benchmarks/realtime-data-indexing/results/**/*.txt.gz
 benchmarks/*/compat/*.so
 
 # Runtime working directory of `serviette demo` (regenerable: corpus copy,
diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index f3133f5..f003c48 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -76,7 +76,8 @@ Outputs land in `results/`: `<size>-memory.png` (memory over time),
 `<size>-memory.csv`, `<size>-summary.json` (duration, MB/min, chunk count,
 peak RSS/PSS, retrieval accuracy). Each run also saves per-process samples,
 the process snapshot at peak PSS, a redacted resolved compose configuration,
-and compressed indexer logs.
+and compressed indexer logs. Raw `*.txt.gz` logs stay local and are ignored
+by Git; CSV measurements, JSON results and plots are committed.
 
 To regenerate the entire publication from a single series of runs:
 
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 33d17ab..8031f6e 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -330,7 +330,8 @@ def main():
 
 `*-memory.csv` and `*-processes.jsonl.gz` record aggregate and per-process
 measurements at the same times; `*-summary.json` includes the process snapshot
-at peak PSS. `*-indexer.txt.gz` contains the container log.
+at peak PSS. `*-indexer.txt.gz` contains the local container log and is
+excluded from Git; only measurements, derived reports and plots are committed.
 
 The right panel estimates file-watch memory as rank 0's private-page excess
 over the median of the seven other workers at the final sample. It includes
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index 0699cb0..e1ec538 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -42,7 +42,8 @@ reduce approximate counts, so these two fields need not be identical;
 
 `*-memory.csv` and `*-processes.jsonl.gz` record aggregate and per-process
 measurements at the same times; `*-summary.json` includes the process snapshot
-at peak PSS. `*-indexer.txt.gz` contains the container log.
+at peak PSS. `*-indexer.txt.gz` contains the local container log and is
+excluded from Git; only measurements, derived reports and plots are committed.
 
 The right panel estimates file-watch memory as rank 0's private-page excess
 over the median of the seven other workers at the final sample. It includes

From 582c355807e46b21fd6aef43427f3f937aeac03e Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Thu, 15 Oct 2026 22:36:05 +0200
Subject: [PATCH 28/32] Remove trailing whitespace from archived benchmark
 report


From b1e97484a9f4ac7775249e240273c065390a59c4 Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Thu, 15 Oct 2026 22:40:36 +0200
Subject: [PATCH 29/32] Keep only final benchmark runs and publication
 artifacts

---
 benchmarks/realtime-data-indexing/README.md   |  3 +-
 .../realtime-data-indexing/plot_results.py    | 32 +++----------------
 .../results/100mb-expected-output.json        |  5 +++
 .../results/1gb-expected-output.json          |  5 +++
 .../results/50gb-expected-output.json         |  2 +-
 .../realtime-data-indexing/results/README.md  | 11 +++----
 6 files changed, 20 insertions(+), 38 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/results/100mb-expected-output.json
 create mode 100644 benchmarks/realtime-data-indexing/results/1gb-expected-output.json

diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index f003c48..13e5d04 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -40,8 +40,7 @@ For a frozen corpus, `--expected-chunks N` additionally requires an exact
 Qdrant count of N before accepting completion. This validates complete
 output; the published approximate counter, 180-second quiet window,
 30-core activity threshold and last-counter-increase time formula remain
-the same. The excluded early 50 GB measurements are retained under
-`results/diagnostics/50gb-premature-completion/`.
+the same. Only complete final runs are included in the committed results.
 
 `count_expected_chunks.py` independently counts the frozen `.txt` inputs
 using UTF-8 decoding and the product's configured 512-token splitter.
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 8031f6e..5807e2e 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -109,11 +109,6 @@ def load(results, sizes=SIZES):
                     raise ValueError('50gb: full input/output completion was not verified')
             elif expected['exact_chunks'] != summary['chunks']:
                 raise ValueError(f"{size}: output differs from independent splitter count")
-        elif size in {'100mb', '1gb'}:
-            comparison = json.loads((results / f'{size}-splitter-comparison.json').read_text())
-            if (comparison['files'] != summary['documents']
-                    or comparison['current_chunks'] != summary['chunks']):
-                raise ValueError(f"{size}: output differs from independent splitter count")
         else:
             raise ValueError(f"{size}: missing independent output-completeness proof")
         with (results / f"{size}-memory.csv").open() as fh:
@@ -220,23 +215,7 @@ def main():
     parser.add_argument("--results", type=Path, default=ROOT / "results")
     parser.add_argument("--assets", type=Path, default=REPO / "docs/assets")
     parser.add_argument("--update-readme", action="store_true")
-    parser.add_argument('--breakdown-only', action='store_true',
-                        help='Render the completed 10 GB run into results/ without updating the publication')
     args = parser.parse_args()
-    if args.breakdown_only:
-        if args.update_readme:
-            parser.error('--breakdown-only cannot update the published README')
-        ten = load(args.results, [('10gb', '10 GB')])[0]
-        environment = json.loads((args.results / 'run-environment.json').read_text())
-        calibration = load_calibration(args.results, environment)
-        c = embedder_breakdown(ten, calibration)
-        remaining = (ten['summary']['peak_pss_mb'] - c['local_embedder_private_mb_estimate']
-                     - c['local_embedder_shared_libraries_mb'])
-        draw_breakdown(ten, c, remaining, args.results / '10gb-memory-breakdown.png')
-        report = {'components_mb': c, 'indexer_without_local_embedder_mb_estimate': remaining}
-        (args.results / '10gb-breakdown.json').write_text(json.dumps(report, indent=2) + '\n')
-        print(json.dumps(report, indent=2))
-        return
     runs = load(args.results)  # Fail before touching published files if any run is missing.
     environment = json.loads((args.results / "run-environment.json").read_text())
     ten = next(r for r in runs if r["size"] == "10gb")
@@ -296,10 +275,8 @@ def main():
 matches the archived file count and approximate page count. Strictly filling
 the nominal byte target adds 20 trailing Dutch articles (35,697 bytes);
 these are preserved outside the input to reproduce the published cutoff.
-`50gb-preparation.json` and `50gb-preparation-full-target.json` record both
-boundaries. The earlier five-language run stopped at 45,323.8 MiB; it is
-preserved in `diagnostics/50gb-insufficient-corpus/` and excluded from this
-publication and direct performance comparisons.
+`50gb-preparation.json` records the final boundary and the trimmed bytes
+and document count.
 """
     notes = f"""# Indexing benchmark results
 
@@ -309,9 +286,8 @@ def main():
 The workload, 180-second quiet window, 30-core activity threshold and
 last-counter-increase time formula are retained. Completion also requires
 all input files to be parsed; the repeated 50 GB run verifies its exact
-output against the frozen-corpus count. Earlier measurements that stopped
-prematurely are preserved under `diagnostics/50gb-premature-completion/`
-and excluded. Independent splitter counts confirm complete output for
+output against the frozen-corpus count. Only complete final runs are included.
+Independent splitter counts confirm complete output for
 the other five sizes.
 
 {published_table}
diff --git a/benchmarks/realtime-data-indexing/results/100mb-expected-output.json b/benchmarks/realtime-data-indexing/results/100mb-expected-output.json
new file mode 100644
index 0000000..6a5d89f
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/100mb-expected-output.json
@@ -0,0 +1,5 @@
+{
+  "documents": 12969,
+  "exact_chunks": 53651,
+  "source": "Independent complete frozen-input splitter count; matches the final indexing run"
+}
diff --git a/benchmarks/realtime-data-indexing/results/1gb-expected-output.json b/benchmarks/realtime-data-indexing/results/1gb-expected-output.json
new file mode 100644
index 0000000..a6fadf7
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/results/1gb-expected-output.json
@@ -0,0 +1,5 @@
+{
+  "documents": 240516,
+  "exact_chunks": 604299,
+  "source": "Independent complete frozen-input splitter count; matches the final indexing run"
+}
diff --git a/benchmarks/realtime-data-indexing/results/50gb-expected-output.json b/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
index 46758da..6ef0bee 100644
--- a/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
+++ b/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
@@ -3,5 +3,5 @@
   "documents": 17083603,
   "corpus_bytes": 52428765709,
   "exact_chunks": 37472786,
-  "source": "Complete unmeasured continuation, diagnostics/50gb-premature-completion/completed-continuation-validation.json; used only for output completeness, not timing or memory metrics"
+  "source": "Frozen-corpus reference output count, confirmed by the complete final run in 50gb-summary.json and independent exact Qdrant count in 50gb-postrun-qdrant.json"
 }
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index e1ec538..cc55772 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -6,9 +6,8 @@ Exact CPU description, RAM, kernel, image ID and installed package versions:
 The workload, 180-second quiet window, 30-core activity threshold and
 last-counter-increase time formula are retained. Completion also requires
 all input files to be parsed; the repeated 50 GB run verifies its exact
-output against the frozen-corpus count. Earlier measurements that stopped
-prematurely are preserved under `diagnostics/50gb-premature-completion/`
-and excluded. Independent splitter counts confirm complete output for
+output against the frozen-corpus count. Only complete final runs are included.
+Independent splitter counts confirm complete output for
 the other five sizes.
 
 | corpus target | ≈ pages | files | chunks (approx.) | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |
@@ -27,10 +26,8 @@ The 50 GB input restores the historical Portuguese/Dutch continuation and
 matches the archived file count and approximate page count. Strictly filling
 the nominal byte target adds 20 trailing Dutch articles (35,697 bytes);
 these are preserved outside the input to reproduce the published cutoff.
-`50gb-preparation.json` and `50gb-preparation-full-target.json` record both
-boundaries. The earlier five-language run stopped at 45,323.8 MiB; it is
-preserved in `diagnostics/50gb-insufficient-corpus/` and excluded from this
-publication and direct performance comparisons.
+`50gb-preparation.json` records the final boundary and the trimmed bytes
+and document count.
 
 Peaks are the maximum sampled total PSS, not kernel high-water marks.
 Sampling continues through the existing completion window.

From 52dde2a2b2c8f0ed7a3307fb7939d43a34b7e5ac Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Thu, 15 Oct 2026 22:41:02 +0200
Subject: [PATCH 30/32] Exclude historical and intermediate benchmark archives

---
 .gitignore | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.gitignore b/.gitignore
index 2274e14..ebb50c2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -224,6 +224,8 @@ benchmarks/*/results/
 benchmarks/realtime-data-indexing/results/.rerun.lock
 # Keep raw stdout/stderr logs local; commit only benchmark measurements/reports.
 benchmarks/realtime-data-indexing/results/**/*.txt.gz
+benchmarks/realtime-data-indexing/results/previous/
+benchmarks/realtime-data-indexing/results/diagnostics/
 benchmarks/*/compat/*.so
 
 # Runtime working directory of `serviette demo` (regenerable: corpus copy,

From 307647558ca1618eb22a03df003eecfa86e8fa6b Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Thu, 15 Oct 2026 23:13:07 +0200
Subject: [PATCH 31/32] Verify 50 GB output independently and fix benchmark
 rerun workflow

---
 benchmarks/realtime-data-indexing/README.md   |  6 ++
 .../realtime-data-indexing/plot_results.py    | 14 ++++-
 .../realtime-data-indexing/rerun_all.py       | 28 +++++++--
 .../results/50gb-expected-output.json         |  9 ++-
 .../realtime-data-indexing/results/README.md  |  8 ++-
 .../realtime-data-indexing/run_bench.py       |  2 +
 .../realtime-data-indexing/test_rerun_all.py  | 59 +++++++++++++++++++
 7 files changed, 114 insertions(+), 12 deletions(-)
 create mode 100644 benchmarks/realtime-data-indexing/test_rerun_all.py

diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index 13e5d04..a571a27 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -95,6 +95,12 @@ an eight-process local-embedder initialization diagnostic, and then
 calls `plot_results.py --update-readme`. Run it under nohup or tmux for the
 multi-hour sizes. Datasets remain on the chosen disk after completion;
 remove only this run's datasets when they are no longer needed.
+Completed datasets (with `questions.json`) are reused, preserving historical
+corpus boundaries. Missing datasets are prepared to the full nominal target;
+nonempty incomplete datasets are rejected. Before each measured run, the driver
+independently counts chunks in that corpus using the recorded image and passes
+`--expected-chunks` to require an exact Qdrant count at completion. The audit
+may download tokenizer data; it does not embed text or call an embedding API.
 
 `plot_results.py` reads all six CSVs and summaries, validates their agreement,
 and generates both README images and the table. It also saves `derived.json`
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 5807e2e..2e2609c 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -103,11 +103,14 @@ def load(results, sizes=SIZES):
             expected = json.loads(expected_path.read_text())
             if expected['documents'] != summary['documents']:
                 raise ValueError(f"{size}: frozen-corpus file count differs")
+            if ('corpus_bytes' in expected
+                    and abs(expected['corpus_bytes'] / 1024**2 - summary['corpus_mb']) > 0.11):
+                raise ValueError(f"{size}: frozen-corpus byte count differs")
             if size == '50gb':
                 if (summary.get('parsed_documents') != expected['documents']
                         or summary.get('verified_exact_chunks') != expected['exact_chunks']):
                     raise ValueError('50gb: full input/output completion was not verified')
-            elif expected['exact_chunks'] != summary['chunks']:
+            elif expected['exact_chunks'] != summary.get('verified_exact_chunks', summary['chunks']):
                 raise ValueError(f"{size}: output differs from independent splitter count")
         else:
             raise ValueError(f"{size}: missing independent output-completeness proof")
@@ -278,6 +281,7 @@ def main():
 `50gb-preparation.json` records the final boundary and the trimmed bytes
 and document count.
 """
+    fifty_expected = json.loads((args.results / '50gb-expected-output.json').read_text())
     notes = f"""# Indexing benchmark results
 
 Measured from {environment['started_utc']}, on {environment['logical_cpus']} logical CPUs.
@@ -287,8 +291,12 @@ def main():
 last-counter-increase time formula are retained. Completion also requires
 all input files to be parsed; the repeated 50 GB run verifies its exact
 output against the frozen-corpus count. Only complete final runs are included.
-Independent splitter counts confirm complete output for
-the other five sizes.
+Independent splitter counts confirm complete output for all six sizes.
+The separate 50 GB audit scanned {fifty_expected['documents']:,} frozen input files ({fifty_expected['corpus_bytes']:,}
+bytes) in the original immutable benchmark image and produced exactly
+{fifty_expected['exact_chunks']:,} chunks, matching the saved run and exact Qdrant count.
+It ran outside the measured indexing workload; memory and timing results
+are unchanged. `50gb-expected-output.json` records this independent audit.
 
 {published_table}
 
diff --git a/benchmarks/realtime-data-indexing/rerun_all.py b/benchmarks/realtime-data-indexing/rerun_all.py
index 8dcfcb2..9b0a2ed 100755
--- a/benchmarks/realtime-data-indexing/rerun_all.py
+++ b/benchmarks/realtime-data-indexing/rerun_all.py
@@ -25,11 +25,14 @@ def main():
         raise SystemExit("Set BENCH_JEMALLOC_CONF=background_thread:true")
     results = ROOT / "results"
     results.mkdir(exist_ok=True)
-    lock = (results / ".rerun.lock").open("w")
-    fcntl.flock(lock, fcntl.LOCK_EX | fcntl.LOCK_NB)
     data_root = Path(os.environ["BENCH_DATA_ROOT"])
     data_root.mkdir(parents=True, exist_ok=True)
+    with (results / ".rerun.lock").open("w") as lock:
+        fcntl.flock(lock, fcntl.LOCK_EX | fcntl.LOCK_NB)
+        _run(results, data_root)
 
+
+def _run(results, data_root):
     def output(cmd):
         return subprocess.check_output(cmd, text=True).strip()
 
@@ -51,14 +54,31 @@ def output(cmd):
     for size, mb in SIZES:
         print(f"Preparing {size}", flush=True)
         dataset = data_root / size
-        if not (size == "100mb" and (dataset / "questions.json").exists()):
+        if not (dataset / "questions.json").exists():
+            if (dataset / "docs").exists() and any((dataset / "docs").iterdir()):
+                raise RuntimeError(f"Incomplete dataset at {dataset}; use a fresh BENCH_DATA_ROOT")
             subprocess.run([sys.executable, str(ROOT / "prepare_dataset.py"),
                             "--size-mb", str(mb), "--out", str(dataset)], check=True)
         if (dataset / 'preparation.json').exists():
             shutil.copy2(dataset / 'preparation.json', results / f'{size}-preparation.json')
         print(f"Indexing {size}", flush=True)
+        # Count the actual frozen corpus, including its chosen byte boundary,
+        # outside the measured run and using the same immutable product image.
+        subprocess.run([
+            "docker", "run", "--rm",
+            "-e", "HF_HUB_OFFLINE=1", "-e", "OMP_NUM_THREADS=1",
+            "-v", f"{data_root.resolve()}:/datasets:ro",
+            "-v", f"{ROOT / 'count_expected_chunks.py'}:/bench/count_expected_chunks.py:ro",
+            "-v", f"{results}:/results", metadata["image"],
+            "python", "/bench/count_expected_chunks.py", "--data-root", "/datasets",
+            "--results", "/results", "--sizes", size,
+        ], check=True)
+        expected = json.loads((results / f"{size}-expected-output.json").read_text())
+        expected["image"] = metadata["image"]
+        (results / f"{size}-expected-output.json").write_text(json.dumps(expected, indent=2) + "\n")
         try:
-            subprocess.run([sys.executable, str(ROOT / "run_bench.py"), "--size", size], check=True)
+            subprocess.run([sys.executable, str(ROOT / "run_bench.py"), "--size", size,
+                            "--expected-chunks", str(expected["exact_chunks"])], check=True)
         except BaseException:
             logs = subprocess.run(["docker", "compose", "logs", "--no-color"],
                                   cwd=ROOT, capture_output=True, text=True, check=False)
diff --git a/benchmarks/realtime-data-indexing/results/50gb-expected-output.json b/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
index 6ef0bee..b99c130 100644
--- a/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
+++ b/benchmarks/realtime-data-indexing/results/50gb-expected-output.json
@@ -1,7 +1,10 @@
 {
-  "image": "sha256:84b80c81426ebd36d7a1b9635d536c1ed8d05df4079e199f9924d3dbe4839c81",
   "documents": 17083603,
-  "corpus_bytes": 52428765709,
   "exact_chunks": 37472786,
-  "source": "Frozen-corpus reference output count, confirmed by the complete final run in 50gb-summary.json and independent exact Qdrant count in 50gb-postrun-qdrant.json"
+  "corpus_bytes": 52428765709,
+  "dataset": "50gb",
+  "elapsed_seconds": 366.1,
+  "source": "Frozen corpus files; UTF-8 decode and actual build_xpack_splitter, token_count=512; executed in immutable serviette-bench image",
+  "image": "sha256:84b80c81426ebd36d7a1b9635d536c1ed8d05df4079e199f9924d3dbe4839c81",
+  "workers": 48
 }
diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index cc55772..23468c7 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -7,8 +7,12 @@ The workload, 180-second quiet window, 30-core activity threshold and
 last-counter-increase time formula are retained. Completion also requires
 all input files to be parsed; the repeated 50 GB run verifies its exact
 output against the frozen-corpus count. Only complete final runs are included.
-Independent splitter counts confirm complete output for
-the other five sizes.
+Independent splitter counts confirm complete output for all six sizes.
+The separate 50 GB audit scanned 17,083,603 frozen input files (52,428,765,709
+bytes) in the original immutable benchmark image and produced exactly
+37,472,786 chunks, matching the saved run and exact Qdrant count.
+It ran outside the measured indexing workload; memory and timing results
+are unchanged. `50gb-expected-output.json` records this independent audit.
 
 | corpus target | ≈ pages | files | chunks (approx.) | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |
 |---|---|---|---|---|---|---|
diff --git a/benchmarks/realtime-data-indexing/run_bench.py b/benchmarks/realtime-data-indexing/run_bench.py
index 55b0a68..b3e50d3 100755
--- a/benchmarks/realtime-data-indexing/run_bench.py
+++ b/benchmarks/realtime-data-indexing/run_bench.py
@@ -458,6 +458,8 @@ def _chunks() -> int | None:
                         last_busy = time.monotonic()
                         time.sleep(SAMPLE_INTERVAL)
                         continue
+                    (results_dir / f"{args.size}-postrun-qdrant.json").write_text(
+                        json.dumps({"exact_count": response.json()}, indent=2) + "\n")
                 break
             time.sleep(SAMPLE_INTERVAL)
         print()
diff --git a/benchmarks/realtime-data-indexing/test_rerun_all.py b/benchmarks/realtime-data-indexing/test_rerun_all.py
new file mode 100644
index 0000000..32f587f
--- /dev/null
+++ b/benchmarks/realtime-data-indexing/test_rerun_all.py
@@ -0,0 +1,59 @@
+"""Exercise publication orchestration without running the multi-hour workload."""
+import contextlib
+import io
+import json
+import os
+import tempfile
+import unittest
+from pathlib import Path
+from types import SimpleNamespace
+from unittest.mock import patch
+
+import rerun_all
+
+
+class RerunTests(unittest.TestCase):
+    def test_reused_corpora_are_counted_before_indexing(self):
+        with tempfile.TemporaryDirectory() as directory:
+            root = Path(directory)
+            datasets = root / "datasets"
+            for size, _ in rerun_all.SIZES:
+                corpus = datasets / size
+                corpus.mkdir(parents=True)
+                (corpus / "questions.json").write_text("[]")
+            calls = []
+
+            def output(command, **kwargs):
+                if "import importlib.metadata" in command[-1]:
+                    return '{}'
+                return "test-image"
+
+            def run(command, **kwargs):
+                calls.append(command)
+                if "/bench/count_expected_chunks.py" in command:
+                    size = command[-1]
+                    (root / "results" / f"{size}-expected-output.json").write_text(
+                        json.dumps({"documents": 2, "exact_chunks": 7}))
+                elif str(root / "run_bench.py") in command:
+                    size = command[command.index("--size") + 1]
+                    self.assertEqual(command[-2:], ["--expected-chunks", "7"])
+                    self.assertIn("image", json.loads(
+                        (root / "results" / f"{size}-expected-output.json").read_text()))
+                    (root / "results" / f"{size}-summary.json").write_text(
+                        json.dumps({"chunks": 7, "documents": 2, "peak_pss_mb": 10}))
+                return SimpleNamespace(stdout='{}', stderr='')
+
+            with patch.object(rerun_all, "ROOT", root), patch.dict(os.environ, {
+                "PATHWAY_LICENSE_KEY": "test", "BENCH_JEMALLOC_CONF": "background_thread:true",
+                "BENCH_DATA_ROOT": str(datasets),
+            }), patch.object(rerun_all.subprocess, "check_output", side_effect=output), \
+                    patch.object(rerun_all.subprocess, "run", side_effect=run), \
+                    contextlib.redirect_stdout(io.StringIO()):
+                rerun_all.main()
+            self.assertFalse(any(str(root / "prepare_dataset.py") in c for c in calls))
+            self.assertEqual(sum('/bench/count_expected_chunks.py' in c for c in calls), 6)
+            self.assertIn(str(root / "plot_results.py"), calls[-1])
+
+
+if __name__ == "__main__":
+    unittest.main()

From 5f251769d315e801addc30e944b3a88b47194b3b Mon Sep 17 00:00:00 2001
From: Sergey <sergey@pathway.com>
Date: Fri, 16 Oct 2026 12:06:37 +0200
Subject: [PATCH 32/32] Clarify benchmark methodology and remove redundant
 generated artifacts

---
 .gitignore                                    |   4 +
 README.md                                     |  27 +++++--
 benchmarks/realtime-data-indexing/README.md   |  63 ++++++++++++----
 .../realtime-data-indexing/plot_results.py    |  69 +++++++++++++++---
 .../results/100mb-memory.png                  | Bin 63784 -> 0 bytes
 .../results/10gb-memory.png                   | Bin 77443 -> 0 bytes
 .../results/1gb-memory.png                    | Bin 70457 -> 0 bytes
 .../results/30gb-memory.png                   | Bin 81267 -> 0 bytes
 .../results/3gb-memory.png                    | Bin 78078 -> 0 bytes
 .../results/50gb-memory.png                   | Bin 81013 -> 0 bytes
 .../realtime-data-indexing/results/README.md  |  52 +++++++++++--
 .../results/consistency-check.json            |  50 -------------
 .../realtime-data-indexing/results/table.md   |   8 --
 .../realtime-data-indexing/verify_results.py  |   3 +-
 14 files changed, 174 insertions(+), 102 deletions(-)
 delete mode 100644 benchmarks/realtime-data-indexing/results/100mb-memory.png
 delete mode 100644 benchmarks/realtime-data-indexing/results/10gb-memory.png
 delete mode 100644 benchmarks/realtime-data-indexing/results/1gb-memory.png
 delete mode 100644 benchmarks/realtime-data-indexing/results/30gb-memory.png
 delete mode 100644 benchmarks/realtime-data-indexing/results/3gb-memory.png
 delete mode 100644 benchmarks/realtime-data-indexing/results/50gb-memory.png
 delete mode 100644 benchmarks/realtime-data-indexing/results/consistency-check.json
 delete mode 100644 benchmarks/realtime-data-indexing/results/table.md

diff --git a/.gitignore b/.gitignore
index ebb50c2..023d013 100644
--- a/.gitignore
+++ b/.gitignore
@@ -226,6 +226,10 @@ benchmarks/realtime-data-indexing/results/.rerun.lock
 benchmarks/realtime-data-indexing/results/**/*.txt.gz
 benchmarks/realtime-data-indexing/results/previous/
 benchmarks/realtime-data-indexing/results/diagnostics/
+# Local outputs regenerated from the committed measurements.
+benchmarks/realtime-data-indexing/results/*-memory.png
+benchmarks/realtime-data-indexing/results/table.md
+benchmarks/realtime-data-indexing/results/consistency-check.json
 benchmarks/*/compat/*.so
 
 # Runtime working directory of `serviette demo` (regenerable: corpus copy,
diff --git a/README.md b/README.md
index 9f63776..5b41cae 100644
--- a/README.md
+++ b/README.md
@@ -76,11 +76,11 @@ organisations such as
 [La Poste](https://pathway.com/success-stories/la-poste),
 [Transdev](https://pathway.com/success-stories/transdev) and
 [CMA CGM](https://pathway.com/success-stories/cma-cgm).
-serviette's own numbers are measured, not estimated: indexing
-up to 50 GB of text (26 million pages, 17 million files) in constant memory,
-retrieval accuracy on a public benchmark (FRAMES), eight vector databases
-under integration tests against real instances — all reproducible from this
-repository.
+serviette's benchmarks cover indexing up to 50 GB of text (26 million pages,
+17 million files), with indexer memory measured throughout the run, and
+retrieval accuracy on a public benchmark (FRAMES). Eight vector databases
+are under integration tests against real instances. Scripts, recorded results
+and measurement limitations are available in this repository.
 
 **Where it stands today.** It answers one question at a time, from the
 current state of the documents. Conversation memory, user accounts and a
@@ -219,6 +219,7 @@ see [benchmarks/realtime-data-indexing](https://github.com/pathwaycom/serviette/
 The table and both figures come from the same six runs. Raw summaries,
 memory samples, per-process snapshots and resolved configurations are in
 [results](benchmarks/realtime-data-indexing/results/README.md).
+One final run per size is published; run-to-run variability was not measured.
 Memory and disk sizes use GiB; input labels are nominal targets
 (1 GB = 1,000 MiB of extracted text). A page is approximately 2,000 bytes.
 Chunks are Qdrant's approximate count at completion; the per-size curves
@@ -236,6 +237,8 @@ baseline. The curves show how total memory evolves during indexing,
 including any steps as file-watch metadata and buffers grow.
 Parsed-text cache, persistence snapshots and stored embeddings live on disk.
 Across these runs a **500× larger input target costs 2.1× the peak PSS**.
+Both file count and text volume change between sizes; this comparison does
+not establish constant memory usage.
 
 <p align="center">
   <img src="docs/assets/bench-memory.png" alt="Measured indexer PSS over time for all six corpora; legends use the same peaks as the table. Right: estimated file-watch memory versus file count, fitted at approximately 361 bytes per file." width="100%">
@@ -245,7 +248,7 @@ Across these runs a **500× larger input target costs 2.1× the peak PSS**.
 <p align="center">
   <img src="docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's 8.16 GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
 </p>
-<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. Without the local embedder the indexer's footprint is estimated at 3.27 GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
+<p align="center"><em>Attribution at the sampled 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. The 3.27 GiB estimate without the local embedder is calculated by subtraction, not measured in an external-embedder indexing run. It excludes the embedding service and does not measure client overhead or changes in working buffers. Shared pages are accounted for proportionally through PSS.</em></p>
 
 Setup: 96-logical-CPU host (see the saved CPU model),
 streaming mode, 8 worker processes with 12 OpenMP threads each,
@@ -255,8 +258,16 @@ No embedding API calls. Installed versions: serviette 0.1.7,
 Pathway 0.33.0, PyTorch 2.14.1,
 sentence-transformers 6.1.0.
 Peak memory is the maximum sampled PSS summed over the indexer container.
-Indexing time uses the existing streaming completion criterion; see the
-benchmark scripts and saved results for the full setup.
+Qdrant and API-server memory, unmapped filesystem cache and kernel memory
+are outside that measurement; it is not a RAM requirement for the whole stack.
+Brief peaks between samples may be missed.
+
+Indexing time is an estimate ending at the last increase in the running
+maximum of Qdrant's approximate chunk count. That moment can precede the
+final write; output-completeness checks do not revise the timestamp or
+measure when the backend's search index is ready. The recorded environment,
+cache conditions and limits on reproducing it are described in
+[the measurement notes](benchmarks/realtime-data-indexing/results/README.md).
 
 ### Retrieval accuracy (FRAMES)
 
diff --git a/benchmarks/realtime-data-indexing/README.md b/benchmarks/realtime-data-indexing/README.md
index a571a27..8f56b8d 100644
--- a/benchmarks/realtime-data-indexing/README.md
+++ b/benchmarks/realtime-data-indexing/README.md
@@ -1,9 +1,10 @@
 # Real-time data indexing benchmark
 
-Measures the two claims that matter for the serviette indexer:
+Measures two aspects of the serviette indexer:
 
-1. **Indexing speed** — wall-clock time to index a document collection end to
-   end (parse → chunk → embed → write to the vector DB).
+1. **Indexing speed** — estimated wall-clock time for the indexing pipeline
+   (parse → chunk → embed → write to the vector DB), using the approximate
+   output-counter timing described below.
 2. **Memory scaling** — document bytes flow through the pipeline, while
    file-watch metadata grows with the number of files. The output is a
    memory-over-time plot and sampled peak PSS (shared pages counted once).
@@ -21,26 +22,39 @@ Three containers via docker-compose:
   search-while-writing, and the Pathway sink keys points internally (no user
   primary key), so writes parallelize across Pathway workers.
 - **indexer** — `serviette indexer` in streaming mode. Completion uses the
-  existing chunk-count and CPU-idleness checks in `run_bench.py`; indexing
-  time is the time of the last observed chunk-count increase.
+  chunk-count, parsing-progress and CPU-idleness checks in `run_bench.py`.
+  Published indexing time ends at the last increase in the running maximum
+  of Qdrant's approximate chunk count.
 - **server** — `serviette server`; used after indexing to replay the accuracy
   questions through `/api/v1/retrieve`.
 
-Memory is sampled every three seconds across the indexer container's
-processes: RSS from `/proc/<pid>/status`, PSS and private-page counts from
+Memory sampling starts after server readiness, with a three-second sleep
+between iterations; collecting memory and querying progress adds to that
+interval. Samples cover the indexer container's processes: RSS from
+`/proc/<pid>/status`, PSS and private-page counts from
 `/proc/<pid>/smaps_rollup`. Peak PSS is the maximum sampled sum. Shared pages
 are counted once through PSS. Summed `VmHWM` is retained in CSV as an upper
 bound on RSS, since different processes can peak at different times.
 Per-process samples include the Pathway worker rank, excluding the sampler.
+Qdrant and API-server memory, unmapped filesystem cache and kernel memory
+are outside this PSS measurement. It is not a RAM requirement for the whole
+stack, and sampling can miss brief peaks.
 
-The completion detector also requires successful parsing of every input
+The current completion detector also requires successful parsing of every input
 file. A chunk-rich subset can exceed the total file count and remain quiet
 while the source is still being enumerated; this must not end sampling.
 For a frozen corpus, `--expected-chunks N` additionally requires an exact
 Qdrant count of N before accepting completion. This validates complete
 output; the published approximate counter, 180-second quiet window,
 30-core activity threshold and last-counter-increase time formula remain
-the same. Only complete final runs are included in the committed results.
+the same. The saved results distinguish the checks available for each run.
+
+The timer starts before launching the indexer and server; dataset preparation,
+model downloads and Qdrant startup are outside it. Approximate counts can
+overshoot and later fall during segment optimization, so the last new maximum
+need not coincide with the final write. An exact-count check validates output
+completeness when performed, but does not change the published time estimate
+or establish when the backend finished building its search index.
 
 `count_expected_chunks.py` independently counts the frozen `.txt` inputs
 using UTF-8 decoding and the product's configured 512-token splitter.
@@ -58,6 +72,10 @@ Portuguese, Dutch. The last two are needed to reach the published 50 GB
 target. Preparation records actual bytes and file count in `preparation.json`
 and fails if sources run out before the target; publication also checks the
 measured corpus size.
+The current product splitter merges trailing fragments shorter than 100
+characters into the preceding chunk. Older published measurements used the
+splitter without this merge, so old and new chunk counts, storage sizes and
+timings do not isolate the effect of allocator tuning.
 
 ## Running
 
@@ -75,8 +93,10 @@ Outputs land in `results/`: `<size>-memory.png` (memory over time),
 `<size>-memory.csv`, `<size>-summary.json` (duration, MB/min, chunk count,
 peak RSS/PSS, retrieval accuracy). Each run also saves per-process samples,
 the process snapshot at peak PSS, a redacted resolved compose configuration,
-and compressed indexer logs. Raw `*.txt.gz` logs stay local and are ignored
-by Git; CSV measurements, JSON results and plots are committed.
+and compressed indexer logs. CSV measurements, JSON results and the two
+published figures in `docs/assets/` are committed. Raw `*.txt.gz` logs,
+per-size `<size>-memory.png` plots, the generated `table.md` and the
+`consistency-check.json` audit report stay local and are ignored by Git.
 
 To regenerate the entire publication from a single series of runs:
 
@@ -101,11 +121,14 @@ nonempty incomplete datasets are rejected. Before each measured run, the driver
 independently counts chunks in that corpus using the recorded image and passes
 `--expected-chunks` to require an exact Qdrant count at completion. The audit
 may download tokenizer data; it does not embed text or call an embedding API.
+Reading the corpus for this audit can warm the filesystem cache. Containers
+start with fresh database and persistence state, but the workflow does not
+control the operating system's cache state or measure cold-cache I/O.
 
 `plot_results.py` reads all six CSVs and summaries, validates their agreement,
 and generates both README images and the table. It also saves `derived.json`
 with the fitted file-watch estimate and peak-memory ratio. The pie separates
-estimated local-embedder private memory, measured shared embedding-library
+estimated local-embedder private memory, estimated shared embedding-library
 PSS, estimated file-watch memory, remaining private memory and other shared
 pages. It estimates what remains in the indexer with an external embedder,
 excluding the embedding service itself. Anonymous-memory attribution uses
@@ -113,8 +136,18 @@ the separate diagnostic and remains an estimate; shared library pages come
 from the main run's mappings.
 See `results/README.md` for the recorded setup and attribution formula.
 
-After rebuilding, run `python verify_results.py` to independently check
+The publication contains one final run per corpus size, with no estimate of
+run-to-run variability. Its memory scaling describes this configuration and
+these corpora; file count and text volume both change between sizes. The
+saved image IDs and package versions identify the measured environment, but
+the build recipe uses floating image tags and dependency versions, and model
+and dataset downloads have no pinned revision. A future rebuild can therefore
+use a different environment or inputs.
+
+Run `python verify_results.py` directly from a checkout to independently check
 every aggregate sample against its per-process snapshot, recompute peaks
 and indexing times, compare all published tables, and verify the pie sum
-and complete 50 GB output. The saved `results/consistency-check.json`
-records the checks and hashes of both published figures.
+and complete 50 GB output. No benchmark rerun or plot regeneration is needed.
+The command prints its report and writes a local `results/consistency-check.json`
+with the checks and hashes of both published figures. `plot_results.py` can
+regenerate the per-size plots and standalone table from the saved measurements.
diff --git a/benchmarks/realtime-data-indexing/plot_results.py b/benchmarks/realtime-data-indexing/plot_results.py
index 2e2609c..375278d 100755
--- a/benchmarks/realtime-data-indexing/plot_results.py
+++ b/benchmarks/realtime-data-indexing/plot_results.py
@@ -288,10 +288,12 @@ def main():
 Exact CPU description, RAM, kernel, image ID and installed package versions:
 `run-environment.json`. Resolved compose configurations redact the license key.
 The workload, 180-second quiet window, 30-core activity threshold and
-last-counter-increase time formula are retained. Completion also requires
-all input files to be parsed; the repeated 50 GB run verifies its exact
-output against the frozen-corpus count. Only complete final runs are included.
-Independent splitter counts confirm complete output for all six sizes.
+approximate-counter timing formula are retained. The current completion
+detector also requires all input files to be parsed and, when an expected
+count is supplied, verifies the exact output count. Independent splitter
+counts match the saved final counts for all six sizes. The saved 50 GB run
+additionally records complete parsing progress and an exact Qdrant count;
+the five smaller runs record approximate backend counts.
 The separate 50 GB audit scanned {fifty_expected['documents']:,} frozen input files ({fifty_expected['corpus_bytes']:,}
 bytes) in the original immutable benchmark image and produced exactly
 {fifty_expected['exact_chunks']:,} chunks, matching the saved run and exact Qdrant count.
@@ -306,16 +308,49 @@ def main():
 {cutoff_note}
 Peaks are the maximum sampled total PSS, not kernel high-water marks.
 Sampling continues through the existing completion window.
+Only indexer processes are included: Qdrant and API-server memory, unmapped
+filesystem cache and kernel memory are outside this measurement. It is not
+a RAM requirement for the whole stack. Sampling starts after server readiness;
+each iteration includes a three-second sleep plus collection and polling
+overhead, so brief peaks may be missed.
 The chunk-count methodology is unchanged: the summary uses Qdrant's
 approximate count at completion, while CSV `chunks` retains the maximum
 observed count used by the completion detector. Segment optimization can
 reduce approximate counts, so these two fields need not be identical;
 `max_observed_chunks` records the CSV's value in the summary explicitly.
 
+Published indexing time is an estimate: elapsed time from before launching
+the indexer and server to the last increase in the running maximum of the
+approximate chunk count. Preparation, model downloads and Qdrant startup are
+outside this interval. A temporary overcount can make the last new maximum
+precede the final write. Checking the exact output count at completion does
+not revise that timestamp or measure when the backend's search index is ready.
+The saved timing values retain this definition.
+
 `*-memory.csv` and `*-processes.jsonl.gz` record aggregate and per-process
 measurements at the same times; `*-summary.json` includes the process snapshot
 at peak PSS. `*-indexer.txt.gz` contains the local container log and is
-excluded from Git; only measurements, derived reports and plots are committed.
+excluded from Git. Measurements, derived values, this report and the two
+published figures in `docs/assets/` are committed. Per-size `*-memory.png`
+plots, the standalone `table.md` and `consistency-check.json` stay local and
+are ignored by Git; they can be regenerated from the saved measurements.
+
+One final run per corpus size is published, without an estimate of run-to-run
+variability. File count and text volume both change across sizes, so these
+measurements do not establish constant memory at a fixed file count. They
+describe this local static-embedding model, plain-text workload and configuration.
+The product splitter merges trailing fragments shorter than 100 characters
+into the preceding chunk; older published measurements predate that behavior.
+Differences in chunk counts, disk usage and timing therefore cannot be
+attributed to allocator tuning alone.
+
+The saved runs do not establish a controlled cold-cache result. Fresh database
+and persistence state do not imply a cold operating-system cache. The current
+rerun driver reads the entire corpus to count expected chunks before indexing,
+which can warm that cache. Saved image IDs and key package versions identify
+the measured environment; the build recipe still uses floating image tags
+and dependency versions, and model and dataset downloads have no pinned
+revision. A future rebuild can use different software or inputs.
 
 The right panel estimates file-watch memory as rank 0's private-page excess
 over the median of the seven other workers at the final sample. It includes
@@ -344,9 +379,10 @@ def main():
 Regenerate with `python plot_results.py --update-readme`.
 The script checks CSV peaks, chunk counts and process snapshots against summaries
 and requires all six sizes before updating the publication.
-Run `python verify_results.py` after regeneration to audit every process sample,
-all published tables and the pie sum; `consistency-check.json` records the
-result and hashes of both published figures.
+Run `python verify_results.py` directly from a checkout to audit every process
+sample, both published tables and the pie sum. It does not require a benchmark
+rerun or regenerated per-size plots. It prints the result and writes a local
+`consistency-check.json` with hashes of both published figures.
 """
     (args.results / "README.md").write_text(notes)
     if args.update_readme:
@@ -360,6 +396,7 @@ def main():
 The table and both figures come from the same six runs. Raw summaries,
 memory samples, per-process snapshots and resolved configurations are in
 [results](benchmarks/realtime-data-indexing/results/README.md).
+One final run per size is published; run-to-run variability was not measured.
 Memory and disk sizes use GiB; input labels are nominal targets
 (1 GB = 1,000 MiB of extracted text). A page is approximately 2,000 bytes.
 Chunks are Qdrant's approximate count at completion; the per-size curves
@@ -377,6 +414,8 @@ def main():
 including any steps as file-watch metadata and buffers grow.
 Parsed-text cache, persistence snapshots and stored embeddings live on disk.
 Across these runs a **500× larger input target costs {ratio:.1f}× the peak PSS**.
+Both file count and text volume change between sizes; this comparison does
+not establish constant memory usage.
 
 <p align="center">
   <img src="docs/assets/bench-memory.png" alt="Measured indexer PSS over time for all six corpora; legends use the same peaks as the table. Right: estimated file-watch memory versus file count, fitted at approximately {slope:.0f} bytes per file." width="100%">
@@ -386,7 +425,7 @@ def main():
 <p align="center">
   <img src="docs/assets/bench-memory-breakdown.png" alt="Breakdown at the 10 GB run's {ten['summary']['peak_pss_mb'] / 1024:.2f} GiB PSS peak: estimated local-embedder private and shared memory, estimated file-watch memory, remaining private memory and other shared pages." width="85%">
 </p>
-<p align="center"><em>Attribution at the actual 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. Without the local embedder the indexer's footprint is estimated at {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.2f} GiB, excluding the embedding service itself. Shared pages are counted once through PSS.</em></p>
+<p align="center"><em>Attribution at the sampled 10 GB peak. Local-embedder memory is estimated from a separate eight-process initialization diagnostic and library mappings; libraries already needed without the embedder remain in the residual. The {derived['10gb_indexer_without_local_embedder_mb_estimate'] / 1024:.2f} GiB estimate without the local embedder is calculated by subtraction, not measured in an external-embedder indexing run. It excludes the embedding service and does not measure client overhead or changes in working buffers. Shared pages are accounted for proportionally through PSS.</em></p>
 
 Setup: {environment['logical_cpus']}-logical-CPU host (see the saved CPU model),
 streaming mode, 8 worker processes with 12 OpenMP threads each,
@@ -396,8 +435,16 @@ def main():
 Pathway {versions['pathway']}, PyTorch {versions['torch']},
 sentence-transformers {versions['sentence-transformers']}.
 Peak memory is the maximum sampled PSS summed over the indexer container.
-Indexing time uses the existing streaming completion criterion; see the
-benchmark scripts and saved results for the full setup.
+Qdrant and API-server memory, unmapped filesystem cache and kernel memory
+are outside that measurement; it is not a RAM requirement for the whole stack.
+Brief peaks between samples may be missed.
+
+Indexing time is an estimate ending at the last increase in the running
+maximum of Qdrant's approximate chunk count. That moment can precede the
+final write; output-completeness checks do not revise the timestamp or
+measure when the backend's search index is ready. The recorded environment,
+cache conditions and limits on reproducing it are described in
+[the measurement notes](benchmarks/realtime-data-indexing/results/README.md).
 
 """
         readme.write_text(text[:start] + replacement + text[end:])
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Bt%m>r

diff --git a/benchmarks/realtime-data-indexing/results/README.md b/benchmarks/realtime-data-indexing/results/README.md
index 23468c7..df0f7da 100644
--- a/benchmarks/realtime-data-indexing/results/README.md
+++ b/benchmarks/realtime-data-indexing/results/README.md
@@ -4,10 +4,12 @@ Measured from 2026-10-12T19:00:22.529304+00:00, on 96 logical CPUs.
 Exact CPU description, RAM, kernel, image ID and installed package versions:
 `run-environment.json`. Resolved compose configurations redact the license key.
 The workload, 180-second quiet window, 30-core activity threshold and
-last-counter-increase time formula are retained. Completion also requires
-all input files to be parsed; the repeated 50 GB run verifies its exact
-output against the frozen-corpus count. Only complete final runs are included.
-Independent splitter counts confirm complete output for all six sizes.
+approximate-counter timing formula are retained. The current completion
+detector also requires all input files to be parsed and, when an expected
+count is supplied, verifies the exact output count. Independent splitter
+counts match the saved final counts for all six sizes. The saved 50 GB run
+additionally records complete parsing progress and an exact Qdrant count;
+the five smaller runs record approximate backend counts.
 The separate 50 GB audit scanned 17,083,603 frozen input files (52,428,765,709
 bytes) in the original immutable benchmark image and produced exactly
 37,472,786 chunks, matching the saved run and exact Qdrant count.
@@ -35,16 +37,49 @@ and document count.
 
 Peaks are the maximum sampled total PSS, not kernel high-water marks.
 Sampling continues through the existing completion window.
+Only indexer processes are included: Qdrant and API-server memory, unmapped
+filesystem cache and kernel memory are outside this measurement. It is not
+a RAM requirement for the whole stack. Sampling starts after server readiness;
+each iteration includes a three-second sleep plus collection and polling
+overhead, so brief peaks may be missed.
 The chunk-count methodology is unchanged: the summary uses Qdrant's
 approximate count at completion, while CSV `chunks` retains the maximum
 observed count used by the completion detector. Segment optimization can
 reduce approximate counts, so these two fields need not be identical;
 `max_observed_chunks` records the CSV's value in the summary explicitly.
 
+Published indexing time is an estimate: elapsed time from before launching
+the indexer and server to the last increase in the running maximum of the
+approximate chunk count. Preparation, model downloads and Qdrant startup are
+outside this interval. A temporary overcount can make the last new maximum
+precede the final write. Checking the exact output count at completion does
+not revise that timestamp or measure when the backend's search index is ready.
+The saved timing values retain this definition.
+
 `*-memory.csv` and `*-processes.jsonl.gz` record aggregate and per-process
 measurements at the same times; `*-summary.json` includes the process snapshot
 at peak PSS. `*-indexer.txt.gz` contains the local container log and is
-excluded from Git; only measurements, derived reports and plots are committed.
+excluded from Git. Measurements, derived values, this report and the two
+published figures in `docs/assets/` are committed. Per-size `*-memory.png`
+plots, the standalone `table.md` and `consistency-check.json` stay local and
+are ignored by Git; they can be regenerated from the saved measurements.
+
+One final run per corpus size is published, without an estimate of run-to-run
+variability. File count and text volume both change across sizes, so these
+measurements do not establish constant memory at a fixed file count. They
+describe this local static-embedding model, plain-text workload and configuration.
+The product splitter merges trailing fragments shorter than 100 characters
+into the preceding chunk; older published measurements predate that behavior.
+Differences in chunk counts, disk usage and timing therefore cannot be
+attributed to allocator tuning alone.
+
+The saved runs do not establish a controlled cold-cache result. Fresh database
+and persistence state do not imply a cold operating-system cache. The current
+rerun driver reads the entire corpus to count expected chunks before indexing,
+which can warm that cache. Saved image IDs and key package versions identify
+the measured environment; the build recipe still uses floating image tags
+and dependency versions, and model and dataset downloads have no pinned
+revision. A future rebuild can use different software or inputs.
 
 The right panel estimates file-watch memory as rank 0's private-page excess
 over the median of the seven other workers at the final sample. It includes
@@ -73,6 +108,7 @@ Derived values are saved in `derived.json`.
 Regenerate with `python plot_results.py --update-readme`.
 The script checks CSV peaks, chunk counts and process snapshots against summaries
 and requires all six sizes before updating the publication.
-Run `python verify_results.py` after regeneration to audit every process sample,
-all published tables and the pie sum; `consistency-check.json` records the
-result and hashes of both published figures.
+Run `python verify_results.py` directly from a checkout to audit every process
+sample, both published tables and the pie sum. It does not require a benchmark
+rerun or regenerated per-size plots. It prints the result and writes a local
+`consistency-check.json` with hashes of both published figures.
diff --git a/benchmarks/realtime-data-indexing/results/consistency-check.json b/benchmarks/realtime-data-indexing/results/consistency-check.json
deleted file mode 100644
index 02d7a80..0000000
--- a/benchmarks/realtime-data-indexing/results/consistency-check.json
+++ /dev/null
@@ -1,50 +0,0 @@
-{
-  "status": "passed",
-  "sizes": 6,
-  "runs": [
-    {
-      "size": "100mb",
-      "samples_checked": 60,
-      "peak_pss_gib": 6.8640625,
-      "last_chunk_increase_seconds": 44.0
-    },
-    {
-      "size": "1gb",
-      "samples_checked": 128,
-      "peak_pss_gib": 6.8171875,
-      "last_chunk_increase_seconds": 293.6
-    },
-    {
-      "size": "3gb",
-      "samples_checked": 238,
-      "peak_pss_gib": 7.1794921875,
-      "last_chunk_increase_seconds": 921.9
-    },
-    {
-      "size": "10gb",
-      "samples_checked": 813,
-      "peak_pss_gib": 8.1626953125,
-      "last_chunk_increase_seconds": 3620.7
-    },
-    {
-      "size": "30gb",
-      "samples_checked": 2308,
-      "peak_pss_gib": 10.4041015625,
-      "last_chunk_increase_seconds": 11028.8
-    },
-    {
-      "size": "50gb",
-      "samples_checked": 4462,
-      "peak_pss_gib": 14.6533203125,
-      "last_chunk_increase_seconds": 21696.7
-    }
-  ],
-  "tables_identical": true,
-  "all_process_samples_match_csv": true,
-  "pie_components_match_measured_peak": true,
-  "external_embedder_indexer_gib_estimate": 3.274814033508301,
-  "figure_sha256": {
-    "bench-memory.png": "4b74528dc3b7c90634507db0f79b2b5cbe35f36f757fabb568a0a699338f9b38",
-    "bench-memory-breakdown.png": "f92fd7c3f296a9d77b3bc32ae577dffe3a91061045d81b180d5076c5f41f7a84"
-  }
-}
diff --git a/benchmarks/realtime-data-indexing/results/table.md b/benchmarks/realtime-data-indexing/results/table.md
deleted file mode 100644
index 603f397..0000000
--- a/benchmarks/realtime-data-indexing/results/table.md
+++ /dev/null
@@ -1,8 +0,0 @@
-| corpus target | ≈ pages | files | chunks (approx.) | indexing time | peak memory (PSS, GiB) | in Qdrant (GiB) |
-|---|---|---|---|---|---|---|
-| 100 MB | 52 431 | 12 969 | 53 651 | 44 s | 6.86 | 0.61 |
-| 1 GB | 524 288 | 240 516 | 604 299 | 4.9 min | 6.82 | 1.85 |
-| 3 GB | 1 572 864 | 841 890 | 1 888 846 | 15.4 min | 7.18 | 4.89 |
-| 10 GB | 5 242 884 | 3 423 359 | 6 761 214 | 1.0 h | 8.16 | 16.07 |
-| 30 GB | 15 728 646 | 9 202 620 | 20 933 962 | 3.1 h | 10.40 | 48.57 |
-| 50 GB | 26 214 382 | 17 083 603 | 37 472 786 | 6.0 h | 14.65 | 84.45 |
diff --git a/benchmarks/realtime-data-indexing/verify_results.py b/benchmarks/realtime-data-indexing/verify_results.py
index bf3982d..1768b66 100644
--- a/benchmarks/realtime-data-indexing/verify_results.py
+++ b/benchmarks/realtime-data-indexing/verify_results.py
@@ -11,7 +11,7 @@ def verify():
     results = ROOT / "results"
     runs = load(results)
     published = table(runs)
-    for path in [REPO / "README.md", results / "README.md", results / "table.md"]:
+    for path in [REPO / "README.md", results / "README.md"]:
         assert published in path.read_text(), f"Different table in {path}"
     audited = []
     for run in runs:
@@ -46,7 +46,6 @@ def verify():
         assert abs(peak_time - summary["peak_elapsed_s"]) <= 0.11
         assert abs(last_increase - summary["indexing_seconds"]) <= 0.11
         assert abs(sum(run["peak_components"].values()) - peak) <= 0.11
-        assert (results / f"{size}-memory.png").is_file()
         audited.append({"size": size, "samples_checked": count,
                         "peak_pss_gib": summary["peak_pss_mb"] / 1024,
                         "last_chunk_increase_seconds": last_increase})