diff --git a/README.md b/README.md
index 68c9c31..526db19 100644
--- a/README.md
+++ b/README.md
@@ -38,7 +38,7 @@ The directory structure is as follows:
 ## TODOs:
 1. Automate parallel builds of multiple DataFusion versions
 2. Rerun benchmarks on a dedicated machine (ec2 metal?)
-3. Rerun the benchmarks on a regular basis (cron job?)
+3. ~~Rerun the benchmarks on a regular basis (cron job?)~~ (see [nightly/](nightly/))
 
 
 1. Add clickbench extended queries
@@ -96,18 +96,11 @@ You can then produce reports using the provided report generator script
 
 ## Automation
 
-TODO: create a cron job or similar to automate the daily builds and tests.
-Ideally it will automatically build datafusion-cli for all commits in the last day
-and run the benchmarks, storing the results for later analysis.
-
-builds.sh (remaining builds)
-
-Then we'll generate the benchmark results
-
-Then we'll do some charting and analaysis along with starting to automate the daily builds
-
-
-
+The daily builds, benchmark runs, statistical regression detection, and
+dashboard publishing are automated by the scripts in [`nightly/`](nightly/),
+driven by cron or a systemd timer. See [nightly/README.md](nightly/README.md)
+for setup on a fresh benchmark box, configuration, scheduling, and how to
+interpret regression alerts.
 
 
 
diff --git a/docs/index.html b/docs/index.html
index 36b95f1..1170b80 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -4,7 +4,7 @@
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>DataFusion ClickBench Performance Analysis</title>
-    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-2.35.2.min.js"></script>
     <style>
         body {
             font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
@@ -170,6 +170,12 @@ <h3>📅 Time Period Filter</h3>
                         Show events
                     </label>
                 </div>
+                <div style="margin-top: 10px;">
+                    <label style="display: flex; align-items: center; gap: 8px; font-size: 14px;">
+                        <input type="checkbox" id="showDetectedLines" checked onchange="updateCharts()" style="margin: 0;">
+                        Show detected changes
+                    </label>
+                </div>
                 <div id="filterDescription" style="margin-top: 10px; font-style: italic; color: #666;">
                     Releases and most recent git revision
                 </div>
@@ -213,7 +219,7 @@ <h2>🗂️ Data </h2>
 
         <div class="footer">
             <p>
-                <strong>Generated on:</strong> 2026-05-29 11:44:39
+                <strong>Generated on:</strong> 2026-07-14 01:56:19
                 with code from <a href="https://github.com/alamb/datafusion-benchmarking">alamb/datafusion-benchmarking</a> 
             </p>
         </div>
@@ -221,13 +227,14 @@ <h2>🗂️ Data </h2>
 
     <script>
         // Store all chart data for filtering
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%{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q27", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.2584033613445378, 1.1256302521008403, 1.1100840336134454, 1.0785714285714285, 1.1067226890756303, 1.0050420168067227]}, {"customdata": ["50.0.0", "51.0.0", "52.0.0", "53.0.0-rc3", "53.1.0", "branch-54"], "hovertemplate": "<b>q0</b><br>Date: %{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q0", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.090909090909091, 1.181818181818182, 1.090909090909091, 1.090909090909091, 1.090909090909091, 1.090909090909091]}, {"customdata": ["50.0.0", "51.0.0", "52.0.0", "53.0.0-rc3", "53.1.0", "branch-54"], "hovertemplate": "<b>q19</b><br>Date: %{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q19", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.116279069767442, 1.1705426356589146, 1.0852713178294575, 1.0852713178294575, 1.1317829457364341, 1.0232558139534884]}, {"customdata": ["50.0.0", "51.0.0", "52.0.0", "53.0.0-rc3", "53.1.0", "branch-54"], "hovertemplate": "<b>q3</b><br>Date: %{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q3", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.0705128205128205, 1.1602564102564104, 1.1153846153846154, 1.076923076923077, 1.1346153846153848, 1.0064102564102564]}, {"customdata": ["50.0.0", "51.0.0", "52.0.0", "53.0.0-rc3", "53.1.0", "branch-54"], "hovertemplate": "<b>q22</b><br>Date: %{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q22", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.1322922804949913, 1.0869180907483795, 1.0194460813199766, 1.0680612846199176, 1.1034177961107838, 1.1040070713022982]}, {"customdata": ["50.0.0", "51.0.0", "52.0.0", "53.0.0-rc3", "53.1.0", "branch-54"], "hovertemplate": "<b>q6</b><br>Date: %{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q6", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.181818181818182, 1.090909090909091, 1.0, 1.090909090909091, 1.090909090909091, 1.0]}, {"customdata": ["50.0.0", "51.0.0", "52.0.0", "53.0.0-rc3", "53.1.0", "branch-54"], "hovertemplate": "<b>q20</b><br>Date: %{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q20", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.1052016364699007, 1.10812390414962, 1.0151957919345411, 1.0771478667445937, 1.1145528930450028, 1.0011689070718879]}, {"customdata": ["50.0.0", "51.0.0", "52.0.0", "53.0.0-rc3", "53.1.0", "branch-54"], "hovertemplate": "<b>q21</b><br>Date: %{x}<br>Git SHA: %{customdata}<br>Normalized Ratio: %{y:.4f}s<br><extra></extra>", "line": {"width": 2}, "marker": {"size": 4}, "mode": "lines+markers", "name": "q21", "visible": true, "x": ["2025-09-13T08:17:34.000000Z", "2025-11-14T15:26:52.000000Z", "2026-01-09T10:50:30.000000Z", "2026-03-17T23:17:24.000000Z", "2026-04-14T00:43:46.000000Z", "2026-05-28T08:52:41.000000Z"], "y": [1.1413586413586414, 1.074925074925075, 1.035964035964036, 1.0454545454545456, 1.07992007992008, 1.013986013986014]}], "layout": {"annotations": [{"CUSTOM_ANNOTATION": "release", "bgcolor": "rgba(255,255,255,0.7)", "bordercolor": "red", "font": {"color": "red", "size": 12}, "showarrow": false, "text": "54.0.0", "x": "2026-05-28T08:52:41.000000Z", "xanchor": "left", "y": 1.01, "yanchor": "bottom", "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "bgcolor": "rgba(255,255,255,0.7)", "bordercolor": "red", "font": {"color": "red", "size": 12}, "showarrow": false, "text": "53.1.0", "x": "2026-04-14T00:43:46.000000Z", "xanchor": "left", "y": 1.01, "yanchor": "bottom", "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "bgcolor": "rgba(255,255,255,0.7)", "bordercolor": "red", "font": {"color": "red", "size": 12}, "showarrow": false, "text": "52.0.0", "x": "2026-01-09T10:50:30.000000Z", "xanchor": "left", "y": 1.01, "yanchor": "bottom", "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "bgcolor": "rgba(255,255,255,0.7)", "bordercolor": "red", "font": {"color": "red", "size": 12}, "showarrow": false, "text": "51.0.0", "x": "2025-11-14T15:26:52.000000Z", "xanchor": "left", "y": 1.01, "yanchor": "bottom", "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "bgcolor": "rgba(255,255,255,0.7)", "bordercolor": "red", "font": {"color": "red", "size": 12}, "showarrow": false, "text": "50.0.0", "x": "2025-09-13T08:17:34.000000Z", "xanchor": "left", "y": 1.01, "yanchor": "bottom", "yref": "paper"}], "height": 600, "hovermode": "x unified", "margin": {"b": 50, "l": 50, "r": 50, "t": 80}, "shapes": [{"CUSTOM_ANNOTATION": "release", "line": {"color": "red", "dash": "dash", "width": 2}, "type": "line", "x0": "2026-05-28T08:52:41.000000Z", "x1": "2026-05-28T08:52:41.000000Z", "y0": 0, "y1": 1, "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "line": {"color": "red", "dash": "dash", "width": 2}, "type": "line", "x0": "2026-04-14T00:43:46.000000Z", "x1": "2026-04-14T00:43:46.000000Z", "y0": 0, "y1": 1, "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "line": {"color": "red", "dash": "dash", "width": 2}, "type": "line", "x0": "2026-01-09T10:50:30.000000Z", "x1": "2026-01-09T10:50:30.000000Z", "y0": 0, "y1": 1, "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "line": {"color": "red", "dash": "dash", "width": 2}, "type": "line", "x0": "2025-11-14T15:26:52.000000Z", "x1": "2025-11-14T15:26:52.000000Z", "y0": 0, "y1": 1, "yref": "paper"}, {"CUSTOM_ANNOTATION": "release", "line": {"color": "red", "dash": "dash", "width": 2}, "type": "line", "x0": "2025-09-13T08:17:34.000000Z", "x1": "2025-09-13T08:17:34.000000Z", "y0": 0, "y1": 1, "yref": "paper"}], "template": "plotly_white", "title": "Individual Query Performance Over Time", "xaxis": {"title": "Git Revision Timestamp"}, "yaxis": {"title": "Median Normalized Execution Time", "type": "linear"}}}};
+        var releaseData = {"mostRecent": "2026-05-28T10:52:41+02:00", "mostRecentRelease": "branch-54", "releases": ["branch-54", "53.1.0", "52.0.0", "51.0.0", "50.3.0", "50.0.0", "49.0.2", "48.0.0", "48.0.1", "47.0.0", "46.0.0", "45.0.0", "44.0.0", "43.0.0", "42.0.0", "41.0.0"]};
         
         function updateCharts() {
             const filter = document.getElementById('timeFilter').value;
             const showReleaseLines = document.getElementById('showReleaseLines').checked;
             const showEventLines = document.getElementById('showEventLines').checked;
+            const showDetectedLines = document.getElementById('showDetectedLines').checked;
             const description = document.getElementById('filterDescription');
             
             let filteredPerformanceData, filteredQueryData, descText;
@@ -271,6 +278,12 @@ <h2>🗂️ Data </h2>
                 filteredPerformanceData = removeEventLines(filteredPerformanceData);
                 filteredQueryData = removeEventLines(filteredQueryData);
             }
+
+            // If "Show detected changes" is unchecked, remove the detected event lines
+            if(!showDetectedLines) {
+                filteredPerformanceData = removeDetectedLines(filteredPerformanceData);
+                filteredQueryData = removeDetectedLines(filteredQueryData);
+            }
             
             description.textContent = descText;
             
@@ -315,6 +328,23 @@ <h2>🗂️ Data </h2>
             };
         }
         
+        function removeDetectedLines(chartObj) {
+            // Create a copy with detected event lines removed
+            const newLayout = {...chartObj.layout};
+            newLayout.shapes = newLayout.shapes.filter(shape => 
+                shape.CUSTOM_ANNOTATION && shape.CUSTOM_ANNOTATION !== "detected"
+            );
+            newLayout.annotations = newLayout.annotations.filter(ann => 
+                ann.CUSTOM_ANNOTATION && ann.CUSTOM_ANNOTATION !== "detected"
+            );
+            
+            return {
+                data: chartObj.data,
+                layout: newLayout,
+                config: chartObj.config
+            };
+        }
+        
         function filterReleasesVsMain(chartObj) {
             // Filter to include only releases and the most recent revision
             const releases = releaseData.releases;
diff --git a/nightly/.gitignore b/nightly/.gitignore
new file mode 100644
index 0000000..8697fde
--- /dev/null
+++ b/nightly/.gitignore
@@ -0,0 +1,7 @@
+# Runtime artifacts of the nightly automation.
+# NOTE: nightly/out/ is deliberately NOT ignored - the config-gated publish
+# step commits it (see config.json publish.paths).
+.shlock
+.lock
+logs/
+__pycache__/
diff --git a/nightly/DESIGN.md b/nightly/DESIGN.md
new file mode 100644
index 0000000..bdce05e
--- /dev/null
+++ b/nightly/DESIGN.md
@@ -0,0 +1,170 @@
+# Nightly Automation & Regression Detection — Design
+
+Addresses the remaining gap of [apache/datafusion#5504](https://github.com/apache/datafusion/issues/5504)
+and the "Trackable over time" goal of [apache/datafusion#21165](https://github.com/apache/datafusion/issues/21165):
+run benchmarks regularly on `main`, keep history, **detect regressions statistically**, and publish the dashboard —
+all with plain cron + bash + python (no CI-vendor lock-in), per maintainer guidance.
+
+Non-goals: PR-triggered benchmarks (solved by adriangb's GKE infra, #18115), replacing the existing
+`benchmark.py` / `report.py` pipeline (we wrap and extend it, we don't rewrite it).
+
+## Pipeline
+
+```
+cron / systemd timer
+  └── nightly/nightly.sh            flock guard, env setup, failure logging
+        └── nightly/nightly.py      orchestrator (python3, stdlib only)
+              1. check_env          (optional) nightly/check_env.sh must pass on Linux
+              2. build              python ensure_datafusion_cli.py --days N  (existing script)
+              3. bench              python benchmark.py --output-dir results  (existing script)
+              4. detect             python nightly/detect.py --results-dir results
+                                      → nightly/out/alerts.json, alerts.md, detected_events.json
+              5. report             python report.py --results-dir results    (existing script)
+              6. publish            git add/commit/pull --rebase/push         (config-gated, default OFF)
+              7. status             nightly/out/status.json + log file; exit non-zero on any failure
+```
+
+Every stage is skippable (`--skip-build`, `--skip-bench`, ...) and `--dry-run` prints the exact
+commands without executing anything (this also makes the orchestrator testable on Windows).
+
+## New files (all under `nightly/` except noted)
+
+| File | Purpose |
+|---|---|
+| `nightly.py` | Orchestrator. Stdlib only. |
+| `config.json` | Default config (see schema below). |
+| `detect.py` | Regression detection. Stdlib only. |
+| `nightly.sh` | Cron entry: flock, PATH, git pull --rebase, run nightly.py, log. |
+| `tune.sh` / `check_env.sh` | Linux benchmark-box tuning + pre-run assertions (governor, turbo, SMT, ASLR, irqbalance). Both no-op with a clear message on non-Linux. |
+| `systemd/datafusion-nightly.service` + `.timer` | systemd alternative to cron. |
+| `crontab.example` | one-liner cron install example. |
+| `github-workflow.example.yml` | OPTIONAL self-hosted-runner workflow (schedule-only trigger, documented security caveats). Not installed by default. |
+| `tests/` | `unittest` suite + small fixtures carved from real `results_metal` data. |
+| `README.md` | Setup, operation, detection methodology, alert interpretation. |
+
+Modified files: `report.py` (3 surgical fixes, below), top-level `README.md` (Automation section).
+
+## detect.py — the analytical core
+
+CLI:
+```
+python nightly/detect.py --results-dir results \
+  [--output-dir nightly/out] [--window 60] [--min-delta-pct 2.0] \
+  [--iqr-multiplier 3.0] [--no-edivisive] [--pvalue 0.05] \
+  [--permutations 199] [--seed 42] [--min-points 8]
+```
+
+Input: every `*.csv` in `--results-dir` with the existing schema
+`benchmark_name,query_name,query_type,execution_time,run_timestamp,git_revision,git_revision_timestamp,num_cores`.
+Robustness requirements:
+- tolerate a missing header row (results_2026_03 bug): if line 1 doesn't start with `benchmark_name`, apply the known schema;
+- filter `query_type == 'query'`;
+- ragged data: queries missing from some revisions are fine (series just lacks that point);
+- dedup identical (git_revision, query_name, execution_time, run_timestamp) rows across files.
+
+Series construction: for each `(benchmark_name, query_name)`, group by `git_revision`,
+summary statistic = **median** of execution_time, ordered by `git_revision_timestamp`
+(ISO-8601 with tz, `datetime.fromisoformat`; ties broken by run_timestamp then revision string).
+Only the trailing `--window` points feed detection.
+
+Two independent detectors:
+
+1. **Threshold (rustc-perf style, per-query learned noise).** For consecutive points compute relative
+   delta `d_i = (m_i - m_{i-1}) / m_{i-1}`. Historical deltas for that query (excluding the newest one)
+   give Q1/Q3; the newest delta is significant iff
+   `d_n > max(Q3 + iqr_multiplier * IQR, min_delta_pct/100)` (regressions; upper fence only)
+   or symmetric on the improvement side (reported separately, never alerted as failure).
+   Needs ≥ `--min-points` points, else skip.
+2. **Changepoint (E-divisive means, MongoDB style).** Pure-python implementation of the e-divisive
+   energy statistic with a permutation significance test (`--permutations`, seeded RNG, deterministic).
+   Recursively split the window while p-value ≤ `--pvalue`; report every changepoint with its
+   before/after medians. O(n²) per candidate is fine for n ≤ ~500.
+
+Outputs (to `--output-dir`):
+- `alerts.json`:
+  ```json
+  { "generated_at": "2026-07-14T12:00:00Z", "results_dir": "results", "window": 60,
+    "alerts": [ { "benchmark_name": "clickbench_partitioned", "query_name": "q13",
+        "kind": "threshold|changepoint", "direction": "regression|improvement",
+        "revision": "2d7ae0926", "revision_timestamp": "...",
+        "median_before_s": 0.51, "median_after_s": 0.72, "delta_pct": 41.2,
+        "threshold_pct": 6.3, "p_value": 0.005 } ] }
+  ```
+  (`threshold_pct` for kind=threshold, `p_value` for kind=changepoint; the other is null.)
+- `alerts.md`: human-readable summary table (posted-in-issue-friendly).
+- `detected_events.json`: `[{"revision": "...", "label": "q13 +41% (changepoint)"}]` —
+  **same shape as the existing events.json** so report.py can merge and draw annotation lines.
+  One entry per changepoint revision (queries aggregated into the label, capped length).
+- Exit code: 0 = ran fine (even with alerts), 2 = regression alerts present (lets cron wrappers
+  distinguish), 1 = error. `--fail-on-alert` opts into exit 2; default exits 0 either way? —
+  NO: default IS exit 2 on regression alerts; `nightly.py` treats 2 as "success with alerts"
+  and surfaces the count in status.json.
+
+## nightly.py — orchestrator
+
+CLI: `python nightly/nightly.py [--config nightly/config.json] [--days N] [--dry-run]
+[--skip-build] [--skip-bench] [--skip-detect] [--skip-report] [--no-publish]`
+
+- Runs from the repo root (chdir to parent of the `nightly/` dir it lives in) because
+  `run_clickbench.py` resolves `data/` CWD-relative.
+- Lock: create `nightly/.lock` with `O_CREAT|O_EXCL` containing pid + start time; stale (>24h) locks
+  are broken with a warning. Portable (works on Windows for testing).
+- Each step: `subprocess.run` with the interpreter `sys.executable` (NOT hardcoded `python3`),
+  streamed to console AND appended to `nightly/logs/nightly-YYYY-MM-DD.log`; step timing recorded.
+- `detect` exit 2 → step ok, `alerts` count recorded. Any other non-zero → step failed;
+  remaining steps still attempt IF independent (report/publish run even if detect failed;
+  bench skipped if build failed) — dependency map: bench→build, detect→bench(soft), report→bench(soft),
+  publish→report. "soft" = run anyway if the prerequisite was merely skipped, skip if it hard-failed.
+- publish (config-gated `publish.enabled`, default **false**): `git add <paths from config>`,
+  commit `nightly: <UTC date> (<n_new_revisions> new revision(s), <n_alerts> alert(s))`,
+  `git pull --rebase`, `git push <remote> <branch>`. Aborts cleanly (with instructions) on conflict.
+- status: `nightly/out/status.json`
+  `{ "started_at", "finished_at", "ok": bool, "steps": {name: {"state": "ok|failed|skipped", "seconds": f}}, "alerts": n, "new_revisions": n }`
+- Exit: 0 if all non-skipped steps ok, 1 otherwise.
+
+`config.json` schema (all keys optional, these are defaults):
+```json
+{ "datafusion_dir": "datafusion", "days": 2, "num_builds": 2,
+  "results_dir": "results", "benchmarks": ["clickbench"],
+  "detect": { "window": 60, "min_delta_pct": 2.0, "iqr_multiplier": 3.0,
+              "pvalue": 0.05, "permutations": 199 },
+  "check_env": false, "prune_builds_keep": 30,
+  "publish": { "enabled": false, "remote": "origin", "branch": "main",
+               "paths": ["results", "docs", "nightly/out"] } }
+```
+`prune_builds_keep`: after a successful bench step, delete all but the newest K binaries in `builds/`
+(they are ~100 MB each). 0 disables pruning.
+
+## report.py — surgical fixes only
+
+1. **mostRecentRelease bug**: `releases_info[-1]` picks the OLDEST entry because releases.json is
+   newest-first. Fix: select the entry whose revision has the max `git_revision_timestamp` among
+   releases present in the loaded data; fall back to `releases_info[0]`.
+2. **Merge detected events**: after loading `events.json`, also load `nightly/out/detected_events.json`
+   if present, de-duplicated by revision (hand-curated events.json wins), rendered in a distinct
+   color/style (e.g. orange dash-dot) with its own "Show detected changes" toggle if cheap, otherwise
+   reuse the events toggle.
+3. **Pin Plotly**: `plotly-latest.min.js` → a pinned 2.x version URL.
+
+Keep the diff minimal — no reformatting, match existing style.
+
+## Testing strategy (must run on Windows dev box, Python 3.12)
+
+- `nightly/tests/test_detect.py`:
+  - synthetic series: flat+noise (no alerts), single injected step of +30% (threshold AND e-divisive
+    both fire, correct revision), gradual drift (no threshold alert), improvement step (direction).
+  - e-divisive determinism with fixed seed; permutation p-value sanity.
+  - CSV robustness: headerless file, ragged queries, duplicate rows.
+  - **real-data test**: fixture carved from `results_metal/results.csv` for 2–3 queries around
+    revision `2d7ae0926` ("default collect_statistics to true", a known real perf event) —
+    detector must flag a changepoint at/adjacent to that revision on at least one affected query.
+    (Fixture generated once by a helper script, committed as small CSV ≤ 200 KB.)
+- `nightly/tests/test_nightly.py`: dry-run produces the right command list; lock behavior;
+  status.json shape; config merge; dependency map (build fails → bench skipped).
+- Bash: `bash -n` syntax check for all `.sh` (run in Git Bash on the dev box).
+
+## Style & licensing
+
+Match the existing repo: plain argparse scripts, no third-party deps for new code
+(existing report.py deps unchanged). Apache-2.0; add the standard ASF license header
+to new files ONLY if existing repo files carry one (check first; alamb's files may not).
diff --git a/nightly/README.md b/nightly/README.md
new file mode 100644
index 0000000..31f6693
--- /dev/null
+++ b/nightly/README.md
@@ -0,0 +1,341 @@
+# Nightly Benchmark Automation
+
+Operator manual for the `nightly/` pipeline. Interface details live in
+[DESIGN.md](DESIGN.md); this document is about installing, running, and
+interpreting it.
+
+## What this is
+
+This directory closes the "Rerun the benchmarks on a regular basis (cron
+job?)" TODO from the [top-level README](../README.md). It addresses the
+remaining gap of [apache/datafusion#5504](https://github.com/apache/datafusion/issues/5504)
+("run the benchmarks regularly and track history") and the follow-on concern
+alamb raised there — that running benchmarks is the easy half, and the results
+are only useful if the history is kept and *analyzed* so regressions are
+actually noticed — as well as the "trackable over time" goal of
+[EPIC apache/datafusion#21165](https://github.com/apache/datafusion/issues/21165).
+Concretely: a cron/systemd-driven orchestrator builds recent `main` commits,
+runs the existing benchmark pipeline, runs statistical regression detection
+over the accumulated history, regenerates the dashboard, and (optionally)
+publishes the results — plain cron + bash + python, no CI-vendor lock-in.
+
+Pipeline (each stage skippable, `--dry-run` prints commands without executing):
+
+```
+cron / systemd timer
+  └── nightly/nightly.sh            flock guard, env setup, failure logging
+        └── nightly/nightly.py      orchestrator (python3, stdlib only)
+              1. check_env          (optional) nightly/check_env.sh must pass on Linux
+              2. build              python ensure_datafusion_cli.py --days N
+              3. bench              python benchmark.py --output-dir results
+              4. detect             python nightly/detect.py --results-dir results
+              5. report             python report.py --results-dir results
+              6. publish            git add/commit/pull --rebase/push  (default OFF)
+              7. status             nightly/out/status.json + log file
+```
+
+## Quick start on a fresh Linux box
+
+Prerequisites: git, a Rust toolchain (`rustup` — builds `datafusion-cli` from
+source), and Python ≥ 3.9. `nightly/nightly.py` and `nightly/detect.py` are
+**stdlib-only**; the only pip installs needed are for the existing `report.py`:
+
+```shell
+python3 -m pip install pandas datafusion
+```
+
+(`report.py`'s docstring also lists `matplotlib seaborn numpy plotly`; only
+`pandas` and `datafusion` are imported today — the Plotly JS in the generated
+dashboard is loaded from a CDN, not from the Python package.)
+
+1. Clone this repo, and clone DataFusion *inside* it (the default
+   `datafusion_dir` in `nightly/config.json` is `datafusion`):
+
+   ```shell
+   git clone https://github.com/alamb/datafusion-benchmarking.git
+   cd datafusion-benchmarking
+   git clone https://github.com/apache/datafusion.git
+   ```
+
+2. Provision the ClickBench data using DataFusion's own benchmark tooling,
+   then symlink it so `data/hits_partitioned/` resolves from the repo root
+   (`run_clickbench.py` references `data/` relative to its working directory):
+
+   ```shell
+   (cd datafusion/benchmarks && ./bench.sh data clickbench_partitioned)
+   ln -s datafusion/benchmarks/data data
+   ls data/hits_partitioned/   # should list partitioned parquet files
+   ```
+
+3. Smoke-test with a dry run — prints the exact commands each stage would run,
+   executes nothing:
+
+   ```shell
+   python3 nightly/nightly.py --dry-run
+   ```
+
+4. Real run (first build takes a while — it compiles `datafusion-cli` in
+   release mode for each recent commit):
+
+   ```shell
+   python3 nightly/nightly.py
+   ```
+
+   Useful flags: `--config nightly/config.json`, `--days N`, `--skip-build`,
+   `--skip-bench`, `--skip-detect`, `--skip-report`, `--no-publish`.
+   Exit code: 0 if all non-skipped steps succeeded, 1 otherwise.
+
+You can also exercise the detector alone against historical data — the
+`results_metal` dataset contains the known `collect_statistics` perf change at
+revision `2d7ae0926`, so it should produce alerts:
+
+```shell
+python3 nightly/detect.py --results-dir results_metal --output-dir nightly/out
+cat nightly/out/alerts.md
+```
+
+## Scheduling
+
+`nightly/nightly.sh` is the cron entry point: it takes an `flock` guard (so
+overlapping runs can't stack up), sets PATH, does a `git pull --rebase` of this
+repo (skipped with a logged warning if the working tree is dirty — the normal
+state when publishing is disabled and results accumulate locally), runs
+`nightly.py`, and logs failures. Environment variables it honors:
+
+| Variable | Effect |
+|---|---|
+| `NIGHTLY_NO_PULL` | If set to any non-empty value other than `0`, skip the `git pull --rebase` of this repo before running (useful while testing local changes). |
+| `NIGHTLY_NOTIFY_CMD` | Optional notification hook, fired when `nightly.sh` or `nightly.py` fails **and** when a successful run ends with regression alerts. Run via `bash -c` with a short message appended as `$1`, so quoting inside the variable works; see the header comment in `nightly/nightly.sh` for working mail/ntfy examples. |
+
+### cron
+
+`nightly/crontab.example` contains a one-liner. Review it, adjust the schedule
+and repo path, then install:
+
+```shell
+cat nightly/crontab.example
+( crontab -l 2>/dev/null; cat nightly/crontab.example ) | crontab -
+crontab -l    # verify
+```
+
+### systemd
+
+Edit `User=` / `WorkingDirectory=` and paths in the units first, then:
+
+```shell
+sudo cp nightly/systemd/datafusion-nightly.service /etc/systemd/system/
+sudo cp nightly/systemd/datafusion-nightly.timer /etc/systemd/system/
+sudo systemctl daemon-reload
+sudo systemctl enable --now datafusion-nightly.timer
+systemctl list-timers datafusion-nightly.timer      # confirm next run
+journalctl -u datafusion-nightly.service -n 100     # inspect a run
+```
+
+### GitHub Actions (optional)
+
+`nightly/github-workflow.example.yml` is an *optional* self-hosted-runner
+workflow (schedule-only trigger; security caveats documented in the file). It
+is not installed by default — cron/systemd is the recommended path.
+
+### What a run leaves behind
+
+- `nightly/logs/nightly-YYYY-MM-DD.log` — full streamed output of every step,
+  with per-step timing.
+- `nightly/out/status.json` — machine-readable summary:
+  `{ "started_at", "finished_at", "ok": bool, "steps": {name: {"state": "ok|failed|skipped", "seconds": f}}, "alerts": n, "new_revisions": n }`
+- `nightly/.lock` — created with `O_CREAT|O_EXCL`, contains pid + start time.
+  Stale locks (> 24 h) are broken automatically with a warning; if a run
+  crashed and left one behind less than 24 h old, delete it by hand.
+
+Step dependencies: `bench` needs `build`; `detect` and `report` need `bench`
+*softly* (they still run if bench was merely skipped, but are skipped if it
+hard-failed); `publish` needs `report`. A `detect` exit code of 2 (alerts
+present, see below) is treated as success-with-alerts, and the alert count is
+recorded in `status.json`.
+
+## Machine tuning
+
+Benchmark numbers are only as stable as the machine underneath. This follows
+standard practice from the
+[LLVM benchmarking guide](https://llvm.org/docs/Benchmarking.html),
+[rustc-perf](https://github.com/rust-lang/rustc-perf), and
+[pyperf's `system tune`](https://pyperf.readthedocs.io/en/latest/system.html).
+
+`nightly/tune.sh` (run once per boot, needs root) changes, one knob per line:
+
+- **CPU governor → `performance`** — stops frequency scaling from adding
+  run-to-run variance.
+- **Turbo boost off** — turbo frequency depends on thermal headroom, so it
+  varies between runs.
+- **SMT (hyper-threading) off** — sibling-thread contention perturbs timings.
+- **ASLR off** — randomized address-space layout changes code/data placement
+  enough to cause measurable swings.
+- **irqbalance stopped** — keeps interrupt handling from migrating onto
+  benchmark cores mid-run.
+
+`nightly/check_env.sh` asserts those settings *before* a run instead of
+changing them. It is gated by the `"check_env": true` config key (default
+`false`): when enabled, `nightly.py` runs it first and aborts the run if the
+box is not tuned. Both scripts no-op with a clear message on non-Linux
+machines.
+
+## Configuration
+
+`nightly/config.json` (override with `nightly.py --config <path>`). Every key
+is optional; the values below are the defaults.
+
+| Key | Default | Meaning |
+|---|---|---|
+| `datafusion_dir` | `"datafusion"` | Path to the DataFusion checkout used for builds (passed to `ensure_datafusion_cli.py --datafusion-dir`). |
+| `days` | `2` | Look-back window: build/benchmark `origin/main` commits from the last N days (`ensure_datafusion_cli.py --days`; override per-run with `nightly.py --days`). |
+| `num_builds` | `2` | Passed to `ensure_datafusion_cli.py --num-builds` — how many commits it builds per run. |
+| `results_dir` | `"results"` | Where benchmark CSVs accumulate; input to the detect and report steps. |
+| `benchmarks` | `["clickbench"]` | Suites passed to `benchmark.py --benchmarks` (only `clickbench` is recognized today). |
+| `detect.window` | `60` | Trailing number of per-revision points fed to the detectors. |
+| `detect.min_delta_pct` | `2.0` | Floor (in %) a step must exceed before a threshold alert can fire, regardless of learned noise. |
+| `detect.iqr_multiplier` | `3.0` | IQR fence multiplier for the per-query threshold detector. |
+| `detect.pvalue` | `0.05` | Significance level for the e-divisive permutation test. |
+| `detect.permutations` | `199` | Permutations per significance test (seeded RNG, deterministic). |
+| `check_env` | `false` | If `true`, run `nightly/check_env.sh` first and abort if the machine is not tuned. |
+| `prune_builds_keep` | `30` | After a successful bench step, delete all but the newest K binaries in `builds/` (each is ~100 MB). `0` disables pruning. |
+| `publish.enabled` | `false` | Master switch for the publish step. |
+| `publish.remote` | `"origin"` | Git remote pushed to. |
+| `publish.branch` | `"main"` | Branch pushed to. |
+| `publish.paths` | `["results", "docs", "nightly/out"]` | Paths `git add`ed before the nightly commit. |
+
+## Regression detection methodology
+
+`nightly/detect.py` reads every `*.csv` in `--results-dir` (the existing
+schema: `benchmark_name,query_name,query_type,execution_time,run_timestamp,git_revision,git_revision_timestamp,num_cores`).
+It tolerates a missing header row (the known `results_2026_03` bug), keeps
+only `query_type == 'query'` rows, tolerates queries missing from some
+revisions, and de-duplicates identical rows across files.
+
+**Series construction.** For each `(benchmark_name, query_name)` pair, runs
+are grouped by `git_revision` and summarized as the **median**
+`execution_time`, ordered by `git_revision_timestamp` (ties broken by
+`run_timestamp`, then revision string). Only the trailing `--window` (default
+60) points feed detection. The median-per-revision step is what makes single
+noisy runs mostly harmless.
+
+Two independent detectors then run over each series:
+
+1. **Threshold — per-query learned noise (the
+   [rustc-perf](https://github.com/rust-lang/rustc-perf) approach).**
+   Consecutive medians give relative deltas `d_i = (m_i - m_{i-1}) / m_{i-1}`.
+   The query's *own* historical deltas (excluding the newest) yield Q1/Q3, and
+   the newest delta is significant iff
+   `d_n > max(Q3 + iqr_multiplier * IQR, min_delta_pct/100)` — i.e. the alert
+   threshold is learned from how noisy that particular query has historically
+   been, with `min_delta_pct` as an absolute floor. Improvements use the
+   symmetric lower fence and are reported separately (never as a failure).
+   Series with fewer than `--min-points` (default 8) points are skipped.
+2. **Changepoint — E-divisive means (the
+   [MongoDB](https://arxiv.org/abs/2003.00584) approach).** A pure-python
+   e-divisive energy statistic with a permutation significance test
+   (`--permutations`, default 199; seeded RNG, so results are deterministic).
+   The window is split recursively while the p-value ≤ `--pvalue`; every
+   changepoint is reported with its before/after medians. This catches shifts
+   the step detector misses (e.g. a level change spread over 2–3 commits) and
+   is far more robust to one-off noise spikes.
+
+Full CLI:
+
+```
+python nightly/detect.py --results-dir results \
+  [--output-dir nightly/out] [--window 60] [--min-delta-pct 2.0] \
+  [--iqr-multiplier 3.0] [--no-edivisive] [--pvalue 0.05] \
+  [--permutations 199] [--seed 42] [--min-points 8]
+```
+
+Outputs (all to `--output-dir`, default `nightly/out`):
+
+- `alerts.json` — machine-readable:
+
+  ```json
+  { "generated_at": "2026-07-14T12:00:00Z", "results_dir": "results", "window": 60,
+    "alerts": [ { "benchmark_name": "clickbench_partitioned", "query_name": "q13",
+        "kind": "threshold|changepoint", "direction": "regression|improvement",
+        "revision": "2d7ae0926", "revision_timestamp": "...",
+        "median_before_s": 0.51, "median_after_s": 0.72, "delta_pct": 41.2,
+        "threshold_pct": 6.3, "p_value": 0.005 } ] }
+  ```
+
+  (`threshold_pct` is set for `kind=threshold`, `p_value` for
+  `kind=changepoint`; the other is null.)
+- `alerts.md` — human-readable summary table, suitable for pasting into a
+  GitHub issue.
+- `detected_events.json` — `[{"revision": "...", "label": "q13 +41% (changepoint)"}]`,
+  the **same shape as the hand-curated `events.json`**. `report.py` merges it
+  (de-duplicated by revision; hand-curated `events.json` wins) and draws the
+  detected changepoints as annotation lines on the dashboard in a distinct
+  style, so detected regressions are visible right on the charts.
+
+**Exit-code contract:** `0` = ran fine and no regression alerts, `2` =
+regression alerts present (improvements alone do not cause exit 2), `1` =
+error. This lets cron wrappers distinguish "broken" from "found something";
+`nightly.py` treats 2 as success-with-alerts and surfaces the count in
+`status.json`.
+
+## Interpreting alerts
+
+- **Threshold vs changepoint.** A threshold alert says "the latest
+  commit-to-commit step is large relative to this query's own noise history".
+  A changepoint alert says "the distribution of this series shifted at this
+  revision, and a permutation test says that shift is unlikely to be noise".
+  Both detectors firing on the same query/revision is a strong signal; a lone
+  threshold alert on a query with a short or spiky history is the weakest.
+- **Improvements vs regressions.** Improvements are detected with the same
+  machinery, reported with `direction: improvement`, and never fail the run or
+  cause exit code 2. They are worth skimming — an "improvement" you didn't
+  expect is sometimes a query silently doing less work.
+- **Know the noise floor.** Even on a tuned, dedicated machine, ~1–3 %
+  wall-time variance between identical runs is normal. Treat single-query
+  alerts with deltas near `min_delta_pct` skeptically. The cheap
+  confirmation is to rerun the *same* sha on a quiet night and compare — the
+  built binary is still in `builds/`, and pointing at a scratch output
+  directory bypasses the "already benchmarked" skip:
+
+  ```shell
+  ./run_clickbench.py --output-dir /tmp/recheck \
+      --datafusion-binary builds/datafusion-cli@<revision>@<revision_timestamp>
+  ```
+
+  If the recheck reproduces the delta, bisect the commit range on the
+  DataFusion side; if not, it was noise — the changepoint detector will stop
+  reporting it as more points accumulate.
+
+## Publishing
+
+The publish step is gated by `publish.enabled` (default **false**) — nothing
+is committed or pushed until you opt in. When enabled, after a successful
+report step, `nightly.py` runs `git add` on `publish.paths` (default
+`results`, `docs`, `nightly/out`), commits with the message
+`nightly: <UTC date> (<n_new_revisions> new revision(s), <n_alerts> alert(s))`,
+then `git pull --rebase` and `git push <remote> <branch>`. On a rebase
+conflict it aborts cleanly and prints instructions rather than force-pushing.
+
+Repo-growth note: the results CSVs are append-only and small (a few KB per
+night), but `docs/index.html` is rewritten every night, so the git history of
+the pages output grows by a full-file snapshot per run. If repository size
+ever becomes a nuisance, occasionally squash the history of the publishing
+branch — the CSVs, not the generated HTML, are the data of record.
+
+## Limitations & future work
+
+- **Only ClickBench is wired up today.** `benchmark.py` recognizes only the
+  `clickbench` suite; the `benchmarks` config key exists so more suites can be
+  added without touching the orchestrator.
+- **TPC-H and friends** could be added later by wrapping DataFusion's upstream
+  `benchmarks/bench.sh` the same way ClickBench data provisioning already
+  uses it.
+- **Per-operator microbenchmarks** —
+  [apache/datafusion#15214](https://github.com/apache/datafusion/issues/15214)
+  — would catch regressions that whole-query wall time averages away.
+- **Codspeed compatibility** is a stated goal of
+  [EPIC apache/datafusion#21165](https://github.com/apache/datafusion/issues/21165);
+  the append-only CSV history here is simple enough to export if/when that
+  lands.
+- **PR-triggered benchmarks are a non-goal** — that niche is served by the GKE
+  infra in [apache/datafusion#18115](https://github.com/apache/datafusion/issues/18115).
+  This pipeline is for the long-history, catch-the-boiling-frog use case.
diff --git a/nightly/check_env.sh b/nightly/check_env.sh
new file mode 100755
index 0000000..d5240f2
--- /dev/null
+++ b/nightly/check_env.sh
@@ -0,0 +1,124 @@
+#!/usr/bin/env bash
+# check_env.sh - read-only benchmark-box environment assertions.
+#
+# Verifies the low-noise state that tune.sh establishes, plus machine
+# quietness (login sessions, load average). Root is NOT required: this script
+# only reads. It never changes anything - run `sudo ./nightly/tune.sh` to fix
+# failures.
+#
+# Output: one "PASS: ..." / "FAIL: ..." line per check, then a greppable
+# one-line JSON snapshot:
+#   ENV_SNAPSHOT: {"governor": ..., "turbo": ..., "aslr": ..., "smt": ...,
+#                  "load1": ..., "nproc": ..., "kernel": ...}
+#
+# Exit codes: 0 = all checks pass (or SKIP on non-Linux), 1 = at least one FAIL.
+set -euo pipefail
+
+if [ "$(uname -s)" != "Linux" ]; then
+  echo "check_env.sh: SKIP (not Linux: $(uname -s); environment checks only apply to the Linux benchmark box)"
+  exit 0
+fi
+
+FAILURES=0
+
+check() {
+  # check <name> <pass|fail> <detail>
+  local name="$1" result="$2" detail="$3"
+  if [ "${result}" = "pass" ]; then
+    echo "PASS: ${name} (${detail})"
+  else
+    echo "FAIL: ${name} (${detail})"
+    FAILURES=$((FAILURES + 1))
+  fi
+}
+
+# --- cpufreq governor ---------------------------------------------------------
+governors="$(cat /sys/devices/system/cpu/cpu[0-9]*/cpufreq/scaling_governor 2>/dev/null | sort -u | paste -sd, - || true)"
+[ -n "${governors}" ] || governors="unknown"
+if [ "${governors}" = "performance" ]; then
+  check "cpufreq governor" pass "performance on all online CPUs"
+else
+  check "cpufreq governor" fail "want 'performance' on every CPU, got: ${governors}"
+fi
+
+# --- turbo / boost --------------------------------------------------------------
+turbo="unknown"
+turbo_detail=""
+if [ -e /sys/devices/system/cpu/intel_pstate/no_turbo ]; then
+  no_turbo="$(cat /sys/devices/system/cpu/intel_pstate/no_turbo 2>/dev/null || echo '?')"
+  if [ "${no_turbo}" = "1" ]; then turbo="off"; else turbo="on"; fi
+  turbo_detail="intel_pstate/no_turbo=${no_turbo}"
+elif [ -e /sys/devices/system/cpu/cpufreq/boost ]; then
+  boost="$(cat /sys/devices/system/cpu/cpufreq/boost 2>/dev/null || echo '?')"
+  if [ "${boost}" = "0" ]; then turbo="off"; else turbo="on"; fi
+  turbo_detail="cpufreq/boost=${boost}"
+else
+  turbo="none"
+  turbo_detail="no turbo/boost control file on this kernel/driver"
+fi
+if [ "${turbo}" = "off" ] || [ "${turbo}" = "none" ]; then
+  check "turbo/boost disabled" pass "${turbo_detail}"
+else
+  check "turbo/boost disabled" fail "${turbo_detail}"
+fi
+
+# --- ASLR -----------------------------------------------------------------------
+aslr="$(cat /proc/sys/kernel/randomize_va_space 2>/dev/null || echo unknown)"
+if [ "${aslr}" = "0" ]; then
+  check "ASLR disabled" pass "kernel.randomize_va_space=0"
+else
+  check "ASLR disabled" fail "kernel.randomize_va_space=${aslr} (want 0)"
+fi
+
+# --- SMT ------------------------------------------------------------------------
+smt="$(cat /sys/devices/system/cpu/smt/control 2>/dev/null || echo unknown)"
+case "${smt}" in
+  off|forceoff|notsupported|notimplemented)
+    check "SMT disabled" pass "smt/control=${smt}"
+    ;;
+  *)
+    check "SMT disabled" fail "smt/control=${smt} (want off/forceoff)"
+    ;;
+esac
+
+# --- irqbalance -------------------------------------------------------------------
+if command -v systemctl >/dev/null 2>&1; then
+  irq="$(systemctl is-active irqbalance 2>/dev/null || true)"
+  [ -n "${irq}" ] || irq="unknown"
+elif pgrep -x irqbalance >/dev/null 2>&1; then
+  irq="active"
+else
+  irq="inactive"
+fi
+if [ "${irq}" = "active" ] || [ "${irq}" = "activating" ]; then
+  check "irqbalance stopped" fail "irqbalance is ${irq}"
+else
+  check "irqbalance stopped" pass "irqbalance is ${irq}"
+fi
+
+# --- login sessions ----------------------------------------------------------------
+sessions="$(who 2>/dev/null | wc -l | tr -d '[:space:]' || true)"
+[ -n "${sessions}" ] || sessions=0
+if [ "${sessions}" -le 1 ]; then
+  check "no other login sessions" pass "${sessions} session(s)"
+else
+  check "no other login sessions" fail "${sessions} login sessions active (want <= 1: nobody else on the box)"
+fi
+
+# --- load average --------------------------------------------------------------------
+load1="$(cut -d' ' -f1 /proc/loadavg 2>/dev/null || echo -1)"
+nproc_val="$(nproc 2>/dev/null || getconf _NPROCESSORS_ONLN 2>/dev/null || echo 0)"
+load_result="$(awk -v l="${load1}" -v n="${nproc_val}" 'BEGIN { print (n > 0 && l >= 0 && l < n / 4.0) ? "pass" : "fail" }')"
+load_threshold="$(awk -v n="${nproc_val}" 'BEGIN { printf "%.2f", n / 4.0 }')"
+check "load average low" "${load_result}" "load1=${load1}, want < nproc/4 = ${load_threshold}"
+
+# --- machine-readable snapshot (greppable; nightly.py may capture this line) --------
+kernel="$(uname -r)"
+printf 'ENV_SNAPSHOT: {"governor": "%s", "turbo": "%s", "aslr": "%s", "smt": "%s", "load1": %s, "nproc": %s, "kernel": "%s"}\n' \
+  "${governors}" "${turbo}" "${aslr}" "${smt}" "${load1}" "${nproc_val}" "${kernel}"
+
+if [ "${FAILURES}" -gt 0 ]; then
+  echo "check_env.sh: ${FAILURES} check(s) FAILED (run 'sudo ./nightly/tune.sh' and quiesce the box)"
+  exit 1
+fi
+echo "check_env.sh: all checks passed"
diff --git a/nightly/config.json b/nightly/config.json
new file mode 100644
index 0000000..2b9a1a1
--- /dev/null
+++ b/nightly/config.json
@@ -0,0 +1,22 @@
+{
+  "datafusion_dir": "datafusion",
+  "days": 2,
+  "num_builds": 2,
+  "results_dir": "results",
+  "benchmarks": ["clickbench"],
+  "detect": {
+    "window": 60,
+    "min_delta_pct": 2.0,
+    "iqr_multiplier": 3.0,
+    "pvalue": 0.05,
+    "permutations": 199
+  },
+  "check_env": false,
+  "prune_builds_keep": 30,
+  "publish": {
+    "enabled": false,
+    "remote": "origin",
+    "branch": "main",
+    "paths": ["results", "docs", "nightly/out"]
+  }
+}
diff --git a/nightly/crontab.example b/nightly/crontab.example
new file mode 100644
index 0000000..9da5be6
--- /dev/null
+++ b/nightly/crontab.example
@@ -0,0 +1,14 @@
+# crontab.example - install the nightly DataFusion benchmark run under plain cron.
+#
+# 1. Replace REPLACE_ME with the absolute path of this repo checkout.
+# 2. Run `mkdir -p REPLACE_ME/nightly/logs` once so the >> redirect below has a
+#    directory to write into on the very first fire.
+# 3. Install with `crontab -e` as the benchmark user and paste the line below.
+#
+# Overlap safety: nightly.sh takes an exclusive, non-blocking flock(1) on
+# nightly/.shlock and exits immediately if a previous run still holds it, so a
+# run that outlives 24h never stacks up behind this cron entry.
+#
+# Note: cron interprets 02:17 in the box's local cron timezone; the systemd
+# timer variant in nightly/systemd/ pins 02:00 UTC explicitly if you need that.
+17 2 * * * cd REPLACE_ME && ./nightly/nightly.sh >> nightly/logs/cron.log 2>&1
diff --git a/nightly/detect.py b/nightly/detect.py
new file mode 100644
index 0000000..31895bb
--- /dev/null
+++ b/nightly/detect.py
@@ -0,0 +1,611 @@
+#!/usr/bin/env python3
+"""Regression detection over benchmark results CSVs.
+
+Reads every *.csv in --results-dir (schema:
+benchmark_name,query_name,query_type,execution_time,run_timestamp,
+git_revision,git_revision_timestamp,num_cores), builds a per-(benchmark,query)
+median series ordered by git_revision_timestamp, and runs two detectors:
+
+1. Threshold (rustc-perf style): the newest night-over-night relative delta is
+   compared against an IQR fence learned from that query's historical deltas,
+   with an absolute floor of --min-delta-pct.
+2. Changepoint (E-divisive means, MongoDB style): energy-statistic Q-hat
+   maximized over split points with a permutation significance test,
+   recursively splitting while p-value <= --pvalue.
+
+Outputs alerts.json, alerts.md and detected_events.json to --output-dir.
+Exit codes: 0 = ran fine and no regression alerts, 2 = regression alerts
+present, 1 = error.
+"""
+import argparse
+import bisect
+import csv
+import glob
+import json
+import os
+import random
+import sys
+from datetime import datetime, timezone
+
+CSV_COLUMNS = [
+    'benchmark_name', 'query_name', 'query_type', 'execution_time',
+    'run_timestamp', 'git_revision', 'git_revision_timestamp', 'num_cores',
+]
+
+# Fallback timestamp formats for values datetime.fromisoformat (3.9) rejects.
+_FALLBACK_TS_FORMATS = [
+    '%Y-%m-%d %H:%M:%S',
+    '%Y-%m-%dT%H:%M:%S',
+    '%Y-%m-%d %H:%M:%S.%f',
+    '%Y-%m-%dT%H:%M:%S.%f',
+    '%Y-%m-%d',
+]
+
+
+def parse_timestamp(value):
+    """Parse an ISO-8601-ish timestamp into a tz-aware datetime (UTC assumed
+    when no offset is present). Returns None if unparseable.
+
+    Python 3.9's datetime.fromisoformat cannot parse a trailing 'Z'; handle
+    that explicitly.
+    """
+    if value is None:
+        return None
+    text = value.strip()
+    if not text:
+        return None
+    if text.endswith('Z') or text.endswith('z'):
+        text = text[:-1] + '+00:00'
+    dt = None
+    try:
+        dt = datetime.fromisoformat(text)
+    except ValueError:
+        for fmt in _FALLBACK_TS_FORMATS:
+            try:
+                dt = datetime.strptime(text, fmt)
+                break
+            except ValueError:
+                continue
+    if dt is None:
+        return None
+    if dt.tzinfo is None:
+        dt = dt.replace(tzinfo=timezone.utc)
+    return dt
+
+
+def load_results(results_dir):
+    """Load and merge every *.csv in results_dir.
+
+    Robustness rules:
+    - a file whose first line does not start with 'benchmark_name' is treated
+      as headerless and the known schema is applied;
+    - only query_type == 'query' rows are kept;
+    - malformed rows (too few columns, non-numeric execution_time,
+      unparseable git_revision_timestamp) are skipped with a warning count;
+    - NUL bytes are stripped, undecodable bytes are replaced, and any other
+      csv.Error (e.g. a field exceeding the csv field-size limit) skips the
+      remainder of that file, so a corrupted file cannot abort the run;
+    - identical (benchmark_name, git_revision, query_name, execution_time,
+      run_timestamp) rows are de-duplicated across files, multiplicity-aware:
+      the Nth duplicate within one file only collapses with the Nth duplicate
+      in another file, so genuine repeated measurements within a file (one
+      run_timestamp per session, ms-quantized times) survive while exact-copy
+      files still collapse fully.
+
+    Returns a list of row dicts.
+    """
+    paths = sorted(glob.glob(os.path.join(results_dir, '*.csv')))
+    if not paths:
+        raise FileNotFoundError('no *.csv files found in %r' % results_dir)
+    rows = []
+    seen = set()
+    skipped = 0
+    for path in paths:
+        occurrences = {}
+        try:
+            with open(path, 'r', newline='', encoding='utf-8',
+                      errors='replace') as fh:
+                # csv.reader raises on NUL bytes ("line contains NUL"); strip
+                # them so one corrupted file cannot break the whole nightly run
+                reader = csv.reader(line.replace('\0', '') for line in fh)
+                first = True
+                for record in reader:
+                    if not record or all(not field.strip() for field in record):
+                        continue
+                    if first:
+                        first = False
+                        if record[0].strip() == 'benchmark_name':
+                            continue  # header row present
+                    if len(record) < len(CSV_COLUMNS):
+                        skipped += 1
+                        continue
+                    row = dict(zip(CSV_COLUMNS, record))
+                    if row['query_type'].strip() != 'query':
+                        continue
+                    try:
+                        exec_time = float(row['execution_time'])
+                    except ValueError:
+                        skipped += 1
+                        continue
+                    rev_ts = parse_timestamp(row['git_revision_timestamp'])
+                    if rev_ts is None:
+                        skipped += 1
+                        continue
+                    base_key = (row['benchmark_name'], row['git_revision'],
+                                row['query_name'], row['execution_time'],
+                                row['run_timestamp'])
+                    occurrence = occurrences.get(base_key, 0)
+                    occurrences[base_key] = occurrence + 1
+                    key = base_key + (occurrence,)
+                    if key in seen:
+                        continue
+                    seen.add(key)
+                    rows.append({
+                        'benchmark_name': row['benchmark_name'].strip(),
+                        'query_name': row['query_name'].strip(),
+                        'execution_time': exec_time,
+                        'run_timestamp': row['run_timestamp'].strip(),
+                        'git_revision': row['git_revision'].strip(),
+                        'git_revision_timestamp': row['git_revision_timestamp'].strip(),
+                        'revision_dt': rev_ts,
+                    })
+        except csv.Error as exc:
+            # e.g. a field exceeding csv.field_size_limit() in a truncated or
+            # binary file; keep whatever parsed before the error
+            print('warning: skipping rest of %s: %s' % (path, exc),
+                  file=sys.stderr)
+    if skipped:
+        print('warning: skipped %d malformed row(s)' % skipped, file=sys.stderr)
+    return rows
+
+
+def median(values):
+    ordered = sorted(values)
+    n = len(ordered)
+    mid = n // 2
+    if n % 2 == 1:
+        return ordered[mid]
+    return (ordered[mid - 1] + ordered[mid]) / 2.0
+
+
+def percentile(values, fraction):
+    """Linear-interpolation percentile (numpy default) of a non-empty list."""
+    ordered = sorted(values)
+    if len(ordered) == 1:
+        return ordered[0]
+    rank = fraction * (len(ordered) - 1)
+    lo = int(rank)
+    hi = min(lo + 1, len(ordered) - 1)
+    weight = rank - lo
+    return ordered[lo] * (1.0 - weight) + ordered[hi] * weight
+
+
+def build_series(rows):
+    """Group rows into per-(benchmark_name, query_name) median series.
+
+    Each series is a list of point dicts ordered by git_revision_timestamp
+    (ties broken by earliest run_timestamp, then by revision string):
+    {'revision', 'revision_timestamp', 'revision_dt', 'median'}
+    """
+    grouped = {}
+    for row in rows:
+        series_key = (row['benchmark_name'], row['query_name'])
+        rev_key = row['git_revision']
+        bucket = grouped.setdefault(series_key, {}).setdefault(rev_key, {
+            'times': [],
+            'revision_dt': row['revision_dt'],
+            'revision_timestamp': row['git_revision_timestamp'],
+            'run_ts': None,
+        })
+        bucket['times'].append(row['execution_time'])
+        run_dt = parse_timestamp(row['run_timestamp'])
+        if run_dt is not None and (bucket['run_ts'] is None or run_dt < bucket['run_ts']):
+            bucket['run_ts'] = run_dt
+    epoch = datetime(1970, 1, 1, tzinfo=timezone.utc)
+    series = {}
+    for series_key, revisions in grouped.items():
+        points = []
+        for revision, bucket in revisions.items():
+            points.append({
+                'revision': revision,
+                'revision_timestamp': bucket['revision_timestamp'],
+                'revision_dt': bucket['revision_dt'],
+                'run_dt': bucket['run_ts'] if bucket['run_ts'] is not None else epoch,
+                'median': median(bucket['times']),
+            })
+        points.sort(key=lambda p: (p['revision_dt'], p['run_dt'], p['revision']))
+        series[series_key] = points
+    return series
+
+
+def threshold_detect(points, min_points, iqr_multiplier, min_delta_pct):
+    """rustc-perf-style detector on the newest night-over-night delta.
+
+    Returns an alert dict fragment or None. `points` is the (already
+    window-trimmed) median series for one query.
+    """
+    if len(points) < min_points:
+        return None
+    deltas = []
+    for prev, cur in zip(points, points[1:]):
+        if prev['median'] <= 0:
+            deltas.append(None)
+        else:
+            deltas.append((cur['median'] - prev['median']) / prev['median'])
+    newest = deltas[-1]
+    history = [d for d in deltas[:-1] if d is not None]
+    if newest is None or len(history) < 2:
+        return None
+    q1 = percentile(history, 0.25)
+    q3 = percentile(history, 0.75)
+    iqr = q3 - q1
+    floor = min_delta_pct / 100.0
+    upper_fence = max(q3 + iqr_multiplier * iqr, floor)
+    lower_fence = min(q1 - iqr_multiplier * iqr, -floor)
+    if newest > upper_fence:
+        direction = 'regression'
+        fence = upper_fence
+    elif newest < lower_fence:
+        direction = 'improvement'
+        fence = lower_fence
+    else:
+        return None
+    last = points[-1]
+    prev = points[-2]
+    return {
+        'kind': 'threshold',
+        'direction': direction,
+        'revision': last['revision'],
+        'revision_timestamp': last['revision_timestamp'],
+        'median_before_s': prev['median'],
+        'median_after_s': last['median'],
+        'delta_pct': newest * 100.0,
+        'threshold_pct': fence * 100.0,
+        'p_value': None,
+    }
+
+
+class _Fenwick(object):
+    """Fenwick (binary indexed) tree over value ranks tracking counts and
+    value sums, used to get sum(|x - p|) over an online set in O(log n)."""
+
+    __slots__ = ('n', 'cnt', 'sm')
+
+    def __init__(self, n):
+        self.n = n
+        self.cnt = [0] * (n + 1)
+        self.sm = [0.0] * (n + 1)
+
+    def add(self, rank, value):
+        i = rank + 1
+        cnt = self.cnt
+        sm = self.sm
+        n = self.n
+        while i <= n:
+            cnt[i] += 1
+            sm[i] += value
+            i += i & (-i)
+
+    def query(self, rank):
+        """(count, sum) of inserted values with rank <= rank."""
+        i = rank + 1
+        c = 0
+        s = 0.0
+        cnt = self.cnt
+        sm = self.sm
+        while i > 0:
+            c += cnt[i]
+            s += sm[i]
+            i -= i & (-i)
+        return c, s
+
+
+def _prep_segment(values):
+    """Precompute permutation-invariant structures for a segment.
+
+    Returns (items, total_pair) where items is a list of
+    (value, rank, rowsum) triples in original order; rowsum(v) is the sum of
+    |v - z| over every z in the segment; total_pair is the sum of all
+    pairwise distances.
+    """
+    ordered = sorted(values)
+    n = len(ordered)
+    prefix = [0.0] * (n + 1)
+    for i, v in enumerate(ordered):
+        prefix[i + 1] = prefix[i] + v
+    uniq = []
+    for v in ordered:
+        if not uniq or v != uniq[-1]:
+            uniq.append(v)
+    rank_of = {}
+    for r, v in enumerate(uniq):
+        rank_of[v] = r
+    items = []
+    total_rowsum = 0.0
+    for v in values:
+        idx = bisect.bisect_left(ordered, v)
+        # elements < v contribute idx*v - prefix[idx]; elements >= v
+        # contribute (prefix[n]-prefix[idx]) - (n-idx)*v (equal ones are 0)
+        rowsum = (idx * v - prefix[idx]) + ((prefix[n] - prefix[idx]) - (n - idx) * v)
+        total_rowsum += rowsum
+        items.append((v, rank_of[v], rowsum))
+    return items, len(uniq), total_rowsum / 2.0
+
+
+def _max_qhat(items, n_unique, total_pair):
+    """Max e-divisive Q-hat over all split points of the sequence.
+
+    items: list of (value, rank, rowsum) in sequence order.
+    Returns (best_q, best_split) where the split t means clusters
+    items[:t] / items[t:]. O(n log n).
+    """
+    n = len(items)
+    tree = _Fenwick(n_unique)
+    left_pair = 0.0
+    left_rowsum = 0.0
+    left_cnt = 0
+    left_sum = 0.0
+    best_q = float('-inf')
+    best_t = -1
+    for t in range(1, n):
+        value, rank, rowsum = items[t - 1]
+        cnt_le, sum_le = tree.query(rank)
+        # distance from `value` to every element already in the left set
+        left_pair += (cnt_le * value - sum_le) + \
+                     ((left_sum - sum_le) - (left_cnt - cnt_le) * value)
+        tree.add(rank, value)
+        left_cnt += 1
+        left_sum += value
+        left_rowsum += rowsum
+        cross = left_rowsum - 2.0 * left_pair
+        right_pair = total_pair - left_pair - cross
+        m = t
+        r = n - t
+        term1 = 2.0 * cross / (m * r)
+        term2 = 2.0 * left_pair / (m * (m - 1)) if m > 1 else 0.0
+        term3 = 2.0 * right_pair / (r * (r - 1)) if r > 1 else 0.0
+        q = (float(m) * r / (m + r)) * (term1 - term2 - term3)
+        if q > best_q:
+            best_q = q
+            best_t = t
+    return best_q, best_t
+
+
+def e_divisive(values, permutations, pvalue, rng, min_points=4):
+    """E-divisive means changepoint detection with permutation testing.
+
+    Recursively splits `values` while the permutation p-value <= pvalue.
+    Returns a list of (index, p_value) tuples where `index` is the first
+    point of the new regime, sorted by index. Deterministic for a given rng.
+    """
+    changepoints = []
+    stack = [(0, list(values))]
+    while stack:
+        offset, segment = stack.pop()
+        n = len(segment)
+        if n < max(4, min_points):
+            continue
+        items, n_unique, total_pair = _prep_segment(segment)
+        observed_q, split = _max_qhat(items, n_unique, total_pair)
+        if split <= 0 or observed_q <= 0:
+            continue
+        greater_or_equal = 0
+        shuffled = list(items)
+        for _ in range(permutations):
+            rng.shuffle(shuffled)
+            perm_q, _unused = _max_qhat(shuffled, n_unique, total_pair)
+            if perm_q >= observed_q:
+                greater_or_equal += 1
+        p = (greater_or_equal + 1.0) / (permutations + 1.0)
+        if p <= pvalue:
+            changepoints.append((offset + split, p))
+            # recurse; push right first so left is processed first (order of
+            # processing does not affect determinism: rng consumption order is
+            # fixed by the stack discipline)
+            stack.append((offset + split, segment[split:]))
+            stack.append((offset, segment[:split]))
+    changepoints.sort(key=lambda cp: cp[0])
+    return changepoints
+
+
+def changepoint_detect(points, permutations, pvalue, seed, min_points):
+    """Run e-divisive over a query's median series; return alert fragments."""
+    if len(points) < min_points:
+        return []
+    values = [p['median'] for p in points]
+    rng = random.Random(seed)
+    alerts = []
+    changepoints = e_divisive(values, permutations, pvalue, rng, min_points=4)
+    # before/after medians are taken over the segments adjacent to each
+    # changepoint (bounded by the neighbouring changepoints) so that multiple
+    # regimes in one window do not mix into a single median
+    bounds = [0] + [index for index, _p in changepoints] + [len(values)]
+    for i, (index, p) in enumerate(changepoints):
+        before = median(values[bounds[i]:index])
+        after = median(values[index:bounds[i + 2]])
+        if before <= 0:
+            continue
+        delta = (after - before) / before
+        point = points[index]
+        alerts.append({
+            'kind': 'changepoint',
+            'direction': 'regression' if delta > 0 else 'improvement',
+            'revision': point['revision'],
+            'revision_timestamp': point['revision_timestamp'],
+            'median_before_s': before,
+            'median_after_s': after,
+            'delta_pct': delta * 100.0,
+            'threshold_pct': None,
+            'p_value': p,
+        })
+    return alerts
+
+
+def detect(rows, window, min_points, iqr_multiplier, min_delta_pct,
+           run_edivisive, permutations, pvalue, seed):
+    """Run both detectors over all series. Returns the list of alert dicts."""
+    series = build_series(rows)
+    alerts = []
+    for (benchmark_name, query_name) in sorted(series):
+        points = series[(benchmark_name, query_name)]
+        if window > 0:
+            points = points[-window:]
+        found = []
+        threshold_alert = threshold_detect(points, min_points,
+                                           iqr_multiplier, min_delta_pct)
+        if threshold_alert is not None:
+            found.append(threshold_alert)
+        if run_edivisive:
+            found.extend(changepoint_detect(points, permutations, pvalue,
+                                            seed, min_points))
+        for alert in found:
+            alert['benchmark_name'] = benchmark_name
+            alert['query_name'] = query_name
+            alerts.append(alert)
+    alerts.sort(key=lambda a: (a['benchmark_name'], a['query_name'],
+                               a['kind'], a['revision']))
+    return alerts
+
+
+ALERT_FIELDS = ['benchmark_name', 'query_name', 'kind', 'direction',
+                'revision', 'revision_timestamp', 'median_before_s',
+                'median_after_s', 'delta_pct', 'threshold_pct', 'p_value']
+
+_EVENT_LABEL_MAX = 100
+
+
+def format_alerts_md(alerts, generated_at, results_dir, window):
+    regressions = [a for a in alerts if a['direction'] == 'regression']
+    improvements = [a for a in alerts if a['direction'] == 'improvement']
+    lines = []
+    lines.append('# Nightly benchmark alerts')
+    lines.append('')
+    lines.append('- Generated: %s' % generated_at)
+    lines.append('- Results dir: `%s`' % results_dir)
+    lines.append('- Window: %d' % window)
+    lines.append('- %d regression(s), %d improvement(s)' %
+                 (len(regressions), len(improvements)))
+    lines.append('')
+    if not alerts:
+        lines.append('No alerts.')
+        lines.append('')
+        return '\n'.join(lines)
+    for title, group in (('Regressions', regressions),
+                         ('Improvements', improvements)):
+        if not group:
+            continue
+        lines.append('## %s' % title)
+        lines.append('')
+        lines.append('| Benchmark | Query | Kind | Revision | Before (s) | After (s) | Delta % | Threshold % | p-value |')
+        lines.append('|---|---|---|---|---|---|---|---|---|')
+        for a in group:
+            lines.append('| %s | %s | %s | %s | %.4f | %.4f | %+.1f | %s | %s |' % (
+                a['benchmark_name'], a['query_name'], a['kind'], a['revision'],
+                a['median_before_s'], a['median_after_s'], a['delta_pct'],
+                '%.1f' % a['threshold_pct'] if a['threshold_pct'] is not None else '-',
+                '%.3f' % a['p_value'] if a['p_value'] is not None else '-'))
+        lines.append('')
+    return '\n'.join(lines)
+
+
+def build_detected_events(alerts):
+    """detected_events.json entries: one per changepoint revision, in the
+    same shape as events.json ({'revision', 'label'})."""
+    by_revision = {}
+    order = []
+    for a in alerts:
+        if a['kind'] != 'changepoint':
+            continue
+        if a['revision'] not in by_revision:
+            by_revision[a['revision']] = {
+                'ts': a['revision_timestamp'],
+                'parts': [],
+            }
+            order.append(a['revision'])
+        by_revision[a['revision']]['parts'].append(
+            '%s %+.0f%%' % (a['query_name'], a['delta_pct']))
+    events = []
+    suffix = ' (changepoint)'
+    for revision in order:
+        parts = by_revision[revision]['parts']
+        label = parts[0]
+        for i, part in enumerate(parts[1:], start=1):
+            candidate = label + ', ' + part
+            if len(candidate) + len(suffix) > _EVENT_LABEL_MAX:
+                label += ' +%d more' % (len(parts) - i)
+                break
+            label = candidate
+        events.append({'revision': revision, 'label': label + suffix})
+    return events
+
+
+def write_outputs(output_dir, alerts, results_dir, window):
+    if not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+    generated_at = datetime.now(timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ')
+    payload = {
+        'generated_at': generated_at,
+        'results_dir': results_dir,
+        'window': window,
+        'alerts': [{field: a[field] for field in ALERT_FIELDS} for a in alerts],
+    }
+    with open(os.path.join(output_dir, 'alerts.json'), 'w', encoding='utf-8') as fh:
+        json.dump(payload, fh, indent=2)
+        fh.write('\n')
+    with open(os.path.join(output_dir, 'alerts.md'), 'w', encoding='utf-8') as fh:
+        fh.write(format_alerts_md(alerts, generated_at, results_dir, window))
+    with open(os.path.join(output_dir, 'detected_events.json'), 'w', encoding='utf-8') as fh:
+        json.dump(build_detected_events(alerts), fh, indent=2)
+        fh.write('\n')
+
+
+def main(argv=None):
+    parser = argparse.ArgumentParser(
+        description='Detect performance regressions in benchmark results')
+    parser.add_argument('--results-dir', default='results',
+                        help='Directory containing results *.csv files (default: results)')
+    parser.add_argument('--output-dir', default='nightly/out',
+                        help='Directory for alerts.json/alerts.md/detected_events.json (default: nightly/out)')
+    parser.add_argument('--window', type=int, default=60,
+                        help='Trailing number of revisions to analyse per query (default: 60)')
+    parser.add_argument('--min-delta-pct', type=float, default=2.0,
+                        help='Absolute floor (percent) for the threshold detector (default: 2.0)')
+    parser.add_argument('--iqr-multiplier', type=float, default=3.0,
+                        help='IQR fence multiplier for the threshold detector (default: 3.0)')
+    parser.add_argument('--no-edivisive', action='store_true',
+                        help='Disable the e-divisive changepoint detector')
+    parser.add_argument('--pvalue', type=float, default=0.05,
+                        help='Significance level for the changepoint permutation test (default: 0.05)')
+    parser.add_argument('--permutations', type=int, default=199,
+                        help='Number of permutations for the significance test (default: 199)')
+    parser.add_argument('--seed', type=int, default=42,
+                        help='RNG seed for the permutation test (default: 42)')
+    parser.add_argument('--min-points', type=int, default=8,
+                        help='Minimum series points required to run detection (default: 8)')
+    args = parser.parse_args(argv)
+
+    try:
+        rows = load_results(args.results_dir)
+        alerts = detect(rows,
+                        window=args.window,
+                        min_points=args.min_points,
+                        iqr_multiplier=args.iqr_multiplier,
+                        min_delta_pct=args.min_delta_pct,
+                        run_edivisive=not args.no_edivisive,
+                        permutations=args.permutations,
+                        pvalue=args.pvalue,
+                        seed=args.seed)
+        write_outputs(args.output_dir, alerts, args.results_dir, args.window)
+    except Exception as exc:
+        print('error: %s' % exc, file=sys.stderr)
+        return 1
+
+    regressions = sum(1 for a in alerts if a['direction'] == 'regression')
+    improvements = len(alerts) - regressions
+    print('detect: %d regression alert(s), %d improvement(s); outputs in %s'
+          % (regressions, improvements, args.output_dir))
+    return 2 if regressions else 0
+
+
+if __name__ == '__main__':
+    sys.exit(main())
diff --git a/nightly/github-workflow.example.yml b/nightly/github-workflow.example.yml
new file mode 100644
index 0000000..8d3d14b
--- /dev/null
+++ b/nightly/github-workflow.example.yml
@@ -0,0 +1,95 @@
+# =============================================================================
+# EXAMPLE ONLY - NOT INSTALLED BY DEFAULT. READ THIS ENTIRE BLOCK BEFORE USING.
+#
+# !!! SECURITY WARNING: SELF-HOSTED RUNNERS ON PUBLIC REPOSITORIES !!!
+#
+# A self-hosted runner executes whatever the triggering workflow tells it to.
+# On a PUBLIC repository, workflows triggered by forks (pull_request /
+# pull_request_target) would let ANYONE on the internet run arbitrary code on
+# your benchmark machine - stealing credentials, mining, pivoting into your
+# network. GitHub's own documentation recommends against self-hosted runners
+# on public repos for exactly this reason.
+#
+# If you use this file anyway, keep ALL of these mitigations:
+#   * Triggers stay `schedule` + `workflow_dispatch` ONLY. NEVER add
+#     pull_request or pull_request_target to this file.
+#   * Register the runner in a dedicated runner GROUP restricted to this one
+#     repository (org Settings -> Actions -> Runner groups), with a unique
+#     label (`benchmark`) so no other workflow can land on it.
+#   * Repo Settings -> Actions -> "Fork pull request workflows": require
+#     approval for ALL outside collaborators.
+#   * Run the runner as an unprivileged user; keep no secrets on the box
+#     beyond (optionally) a narrowly-scoped push token for publishing results.
+#   * Note: GitHub disables `schedule` workflows after ~60 days of repo
+#     inactivity; workflow_dispatch remains for manual re-arming.
+#
+# RECOMMENDED ALTERNATIVE (per maintainer preference): plain cron on the
+# benchmark box - see nightly/crontab.example - or the systemd timer in
+# nightly/systemd/. Those need no GitHub-side attack surface at all. This
+# file exists only for teams already invested in Actions dashboards.
+#
+# To use: copy to .github/workflows/nightly-benchmarks.yml (this file is NOT
+# picked up by GitHub where it sits now - that is intentional).
+# =============================================================================
+
+name: nightly-benchmarks (self-hosted example)
+
+# schedule + manual dispatch ONLY - see the security warning above.
+on:
+  schedule:
+    # 02:17 UTC daily; offset from the top of the hour to dodge GitHub's
+    # scheduler congestion. Keep roughly in sync with crontab.example.
+    - cron: "17 2 * * *"
+  workflow_dispatch: {}
+
+# Least privilege: the run itself only needs to read the repo. If you enable
+# the commented-out publish step below, change to `contents: write`.
+permissions:
+  contents: read
+
+# Never let two benchmark runs race on the same box (nightly.sh's flock would
+# make the second a no-op anyway; this keeps the Actions UI honest too).
+concurrency:
+  group: nightly-benchmarks
+  cancel-in-progress: false
+
+jobs:
+  nightly:
+    # Dedicated, labeled machine only - see runner-group mitigation above.
+    runs-on: [self-hosted, benchmark]
+    timeout-minutes: 720
+    steps:
+      - name: Check out the benchmarking harness
+        uses: actions/checkout@v4
+        with:
+          # CRITICAL on a persistent self-hosted runner: checkout's default
+          # clean (git clean -ffdx + git reset --hard) would wipe the previous
+          # night's uncommitted results/ CSVs and any caches in the workspace.
+          # You MUST either enable publishing (publish.enabled in
+          # nightly/config.json, so each night's results are committed before
+          # the next run) or keep `clean: false` here - otherwise every
+          # night's results are destroyed by the next run's checkout.
+          clean: false
+
+      - name: Run the nightly pipeline
+        env:
+          # actions/checkout already placed the workspace at the desired
+          # revision; a `git pull --rebase` inside the runner workspace would
+          # fight with it, so tell nightly.sh to skip its pull.
+          NIGHTLY_NO_PULL: "1"
+        run: ./nightly/nightly.sh
+
+      # --- Committing results back (optional) --------------------------------
+      # The recommended publishing mechanism is nightly.py's config-gated
+      # publish step (`publish.enabled: true` in nightly/config.json), which
+      # commits and pushes results/, docs/ and nightly/out/ itself. If you
+      # would rather do it in the workflow, uncomment the step below AND set
+      # `permissions: contents: write` above.
+      #
+      # - name: Commit and push results
+      #   run: |
+      #     git config user.name "benchmark-bot"
+      #     git config user.email "benchmark-bot@users.noreply.github.com"
+      #     git add results docs nightly/out
+      #     git commit -m "nightly: $(date -u +%F) results" || echo "nothing to commit"
+      #     git push
diff --git a/nightly/nightly.py b/nightly/nightly.py
new file mode 100644
index 0000000..a64ecef
--- /dev/null
+++ b/nightly/nightly.py
@@ -0,0 +1,961 @@
+#!/usr/bin/env python3
+"""
+Nightly benchmark orchestrator for the DataFusion benchmarking pipeline.
+
+Runs (in order): check_env (optional) -> build -> bench -> detect -> report
+-> publish, per nightly/DESIGN.md.  Stdlib only, python 3.9+ compatible.
+
+Usage:
+    python nightly/nightly.py [--config nightly/config.json] [--days N]
+        [--dry-run] [--skip-build] [--skip-bench] [--skip-detect]
+        [--skip-report] [--no-publish]
+
+Behavior notes:
+- chdirs to the repo root (the parent of the nightly/ directory) at startup
+  because run_clickbench.py resolves data/ relative to the CWD.
+- A portable lock file (nightly/.lock, O_CREAT|O_EXCL) prevents overlapping
+  runs; locks older than 24h are broken with a warning.  The lock is always
+  released on exit (try/finally plus an atexit safety net).  Both breaking
+  and releasing verify the lock's content first, so racing processes never
+  delete a lock they do not own.
+- Dependency map: bench->build (hard), detect->bench (soft),
+  report->bench (soft), publish->report (hard).  "soft" = run anyway if the
+  prerequisite was merely skipped, skip only if it hard-failed.  Hard edges
+  additionally skip when the prerequisite was itself skipped because of an
+  upstream failure (so a build failure cascades bench -> ... but a
+  user-requested --skip-build does not).
+- detect exit code 2 means "ok, with regression alerts"; regression and
+  improvement counts are read from nightly/out/alerts.json and surfaced in
+  status.json ("alerts" = regressions only, "improvements" separately).
+- the build step records how many builds/datafusion-cli@* files appeared
+  (status.json "new_builds"); a bench that exits 0 without adding any new
+  revisions while new binaries exist is marked failed.
+- Everything is logged to the console AND nightly/logs/nightly-YYYY-MM-DD.log.
+- status: nightly/out/status.json; process exit code 0 iff no step failed.
+- --dry-run prints the exact commands per step (and what publish would
+  commit) without executing anything; no files are written except the log.
+"""
+
+import argparse
+import atexit
+import csv
+import glob
+import json
+import os
+import platform
+import subprocess
+import sys
+import time
+from datetime import datetime, timezone
+
+# Paths are relative to the repo root (we chdir there at startup).
+# Forward slashes work on Windows too and keep logs/tests uniform.
+DEFAULT_CONFIG_PATH = "nightly/config.json"
+LOCK_PATH = "nightly/.lock"
+LOG_DIR = "nightly/logs"
+OUT_DIR = "nightly/out"
+ALERTS_PATH = OUT_DIR + "/alerts.json"
+STATUS_PATH = OUT_DIR + "/status.json"
+
+LOCK_MAX_AGE_HOURS = 24.0
+
+STEP_ORDER = ["check_env", "build", "bench", "detect", "report", "publish"]
+
+# step -> prerequisite step.  Hard: also skip if the prerequisite was
+# skipped because of an upstream failure.  Soft: skip only if the
+# prerequisite hard-failed.
+HARD_DEPS = {"bench": "build", "publish": "report"}
+SOFT_DEPS = {"detect": "bench", "report": "bench"}
+
+# Shown in --dry-run for the publish commit; the real message is built at
+# publish time from the actual counts.
+COMMIT_MSG_PLACEHOLDER = (
+    "nightly: <UTC-date> (<new_revisions> new revision(s), <alerts> alert(s))"
+)
+
+DEFAULT_CONFIG = {
+    "datafusion_dir": "datafusion",
+    "days": 2,
+    "num_builds": 2,
+    "results_dir": "results",
+    "benchmarks": ["clickbench"],
+    "detect": {
+        "window": 60,
+        "min_delta_pct": 2.0,
+        "iqr_multiplier": 3.0,
+        "pvalue": 0.05,
+        "permutations": 199,
+    },
+    "check_env": False,
+    "prune_builds_keep": 30,
+    "publish": {
+        "enabled": False,
+        "remote": "origin",
+        "branch": "main",
+        "paths": ["results", "docs", "nightly/out"],
+    },
+    # Script locations (relative to the repo root).  Not part of the
+    # documented config schema; overridable mainly so the test suite can
+    # point steps at stub scripts.
+    "scripts": {
+        "build": "ensure_datafusion_cli.py",
+        "bench": "benchmark.py",
+        "detect": "nightly/detect.py",
+        "report": "report.py",
+        "check_env": "nightly/check_env.sh",
+    },
+}
+
+
+def utc_now():
+    return datetime.now(timezone.utc)
+
+
+def utc_iso(dt=None):
+    if dt is None:
+        dt = utc_now()
+    return dt.strftime("%Y-%m-%dT%H:%M:%SZ")
+
+
+class Logger(object):
+    """Writes messages to the console and (if path given) a log file."""
+
+    def __init__(self, path=None):
+        self.path = path
+        self._fh = None
+        if path is not None:
+            log_dir = os.path.dirname(path)
+            if log_dir:
+                os.makedirs(log_dir, exist_ok=True)
+            self._fh = open(path, "a", encoding="utf-8")
+
+    def log(self, msg):
+        self._emit(msg)
+
+    def raw(self, line):
+        """Log a line of subprocess output verbatim."""
+        self._emit(line)
+
+    def _emit(self, msg):
+        try:
+            print(msg, flush=True)
+        except UnicodeEncodeError:
+            enc = getattr(sys.stdout, "encoding", None) or "ascii"
+            print(msg.encode(enc, "replace").decode(enc, "replace"), flush=True)
+        if self._fh is not None:
+            stamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            self._fh.write("[%s] %s\n" % (stamp, msg))
+            self._fh.flush()
+
+    def close(self):
+        if self._fh is not None:
+            self._fh.close()
+            self._fh = None
+
+
+def format_cmd(cmd):
+    """Human-readable rendering of an argv list (quotes args with spaces)."""
+    parts = []
+    for arg in cmd:
+        if arg == "" or " " in arg or "\t" in arg or '"' in arg:
+            parts.append('"%s"' % arg.replace('"', '\\"'))
+        else:
+            parts.append(arg)
+    return " ".join(parts)
+
+
+def run_streamed(cmd, logger):
+    """Run cmd, streaming combined stdout/stderr line-by-line to the logger.
+
+    Returns the exit code (127 if the executable could not be started).
+    """
+    logger.log("+ " + format_cmd(cmd))
+    try:
+        proc = subprocess.Popen(
+            cmd,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.STDOUT,
+            text=True,
+            encoding="utf-8",
+            errors="replace",
+            bufsize=1,
+        )
+    except OSError as exc:
+        logger.log("ERROR: could not start %s: %s" % (cmd[0], exc))
+        return 127
+    for line in proc.stdout:
+        logger.raw(line.rstrip("\r\n"))
+    proc.stdout.close()
+    return proc.wait()
+
+
+# ---------------------------------------------------------------------------
+# Lock file
+# ---------------------------------------------------------------------------
+
+_HELD_LOCKS = set()
+_LOCK_CONTENTS = {}  # abspath -> exact content this process wrote
+
+
+def _atexit_release_locks():
+    for path in list(_HELD_LOCKS):
+        release_lock(path)
+
+
+atexit.register(_atexit_release_locks)
+
+
+def _read_lock_content(path):
+    """Full text of the lock file, or None if it cannot be read."""
+    try:
+        with open(path, "r", encoding="utf-8", errors="replace") as fh:
+            return fh.read()
+    except OSError:
+        return None
+
+
+def _lock_age_seconds(path, content=None):
+    """Age of the lock in seconds, or None if it cannot be determined
+    (e.g. the file vanished).  `content` is the lock text if already read."""
+    if content is None:
+        content = _read_lock_content(path)
+    epoch = None
+    if content is not None:
+        for line in content.splitlines():
+            if line.startswith("started_epoch="):
+                try:
+                    epoch = float(line.split("=", 1)[1].strip())
+                except ValueError:
+                    pass
+    if epoch is None:
+        try:
+            epoch = os.path.getmtime(path)
+        except OSError:
+            return None
+    return max(0.0, time.time() - epoch)
+
+
+def _break_stale_lock(path, inspected_content, logger):
+    """Atomically remove a stale lock without racing other breakers.
+
+    os.replace the lock to a unique temp name (the loser of a concurrent
+    break race gets FileNotFoundError and backs off), verify the renamed
+    file still holds the content inspected during the age check, then
+    delete it.  Returns True iff this process removed the stale lock."""
+    temp = "%s.stale-%d-%d" % (path, os.getpid(), int(time.time() * 1000000))
+    try:
+        os.replace(path, temp)
+    except OSError:
+        # FileNotFoundError: another process broke the lock first.
+        logger.log("NOTE: stale lock %s already gone; backing off" % path)
+        return False
+    if _read_lock_content(temp) != inspected_content:
+        # The lock changed hands between the age check and the rename: what
+        # we renamed is a fresh lock, not the stale one.  Put it back.
+        logger.log(
+            "NOTE: lock %s changed while breaking it; restoring and backing off"
+            % path
+        )
+        try:
+            os.replace(temp, path)
+        except OSError:
+            pass
+        return False
+    try:
+        os.remove(temp)
+    except OSError:
+        pass
+    return True
+
+
+def acquire_lock(path, logger, max_age_hours=LOCK_MAX_AGE_HOURS):
+    """Create the lock file with O_CREAT|O_EXCL.  Returns True on success.
+
+    Locks older than max_age_hours are broken with a warning.  Portable
+    (no fcntl) so it also works on Windows.
+    """
+    for _attempt in range(3):
+        try:
+            fd = os.open(path, os.O_CREAT | os.O_EXCL | os.O_WRONLY)
+        except FileExistsError:
+            content = _read_lock_content(path)
+            age = _lock_age_seconds(path, content)
+            if age is None:
+                continue  # lock vanished between open and stat; retry
+            if age > max_age_hours * 3600.0:
+                logger.log(
+                    "WARNING: breaking stale lock %s (age %.1f h > %.0f h)"
+                    % (path, age / 3600.0, max_age_hours)
+                )
+                _break_stale_lock(path, content, logger)
+                continue
+            logger.log(
+                "Another nightly run appears to be in progress "
+                "(lock %s, age %.1f h). Exiting." % (path, age / 3600.0)
+            )
+            return False
+        content = (
+            "pid=%d\nstarted_at=%s\nstarted_epoch=%.3f\n"
+            % (os.getpid(), utc_iso(), time.time())
+        )
+        with os.fdopen(fd, "w", encoding="utf-8") as fh:
+            fh.write(content)
+        abspath = os.path.abspath(path)
+        _HELD_LOCKS.add(abspath)
+        _LOCK_CONTENTS[abspath] = content
+        return True
+    logger.log("Could not acquire lock %s after retries. Exiting." % path)
+    return False
+
+
+def release_lock(path):
+    """Remove the lock, but only if this process still owns it (the file
+    holds exactly the pid+started stamp we wrote at acquire time)."""
+    abspath = os.path.abspath(path)
+    _HELD_LOCKS.discard(abspath)
+    expected = _LOCK_CONTENTS.pop(abspath, None)
+    if expected is None:
+        return  # never acquired by this process; leave any lock alone
+    if _read_lock_content(abspath) != expected:
+        return  # broken and re-acquired by someone else; not ours to delete
+    try:
+        os.remove(abspath)
+    except OSError:
+        pass
+
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+def deep_merge(base, override):
+    """Recursively merge override into base (returns a new dict)."""
+    merged = dict(base)
+    for key, value in override.items():
+        if isinstance(value, dict) and isinstance(merged.get(key), dict):
+            merged[key] = deep_merge(merged[key], value)
+        else:
+            merged[key] = value
+    return merged
+
+
+def load_config(path, explicit, logger):
+    """Built-in defaults <- config file.  Returns None on error.
+
+    If the (explicitly passed) config file is missing that is an error;
+    a missing default config just falls back to built-in defaults.
+    """
+    if not os.path.exists(path):
+        if explicit:
+            logger.log("ERROR: config file not found: %s" % path)
+            return None
+        logger.log(
+            "NOTE: default config %s not found; using built-in defaults" % path
+        )
+        return deep_merge(DEFAULT_CONFIG, {})
+    try:
+        with open(path, "r", encoding="utf-8") as fh:
+            user_config = json.load(fh)
+    except ValueError as exc:
+        logger.log("ERROR: could not parse config %s: %s" % (path, exc))
+        return None
+    if not isinstance(user_config, dict):
+        logger.log("ERROR: config %s must contain a JSON object" % path)
+        return None
+    return deep_merge(DEFAULT_CONFIG, user_config)
+
+
+def apply_cli_overrides(config, args):
+    """CLI flags override config file values."""
+    if args.days is not None:
+        config["days"] = args.days
+    return config
+
+
+# ---------------------------------------------------------------------------
+# Commands
+# ---------------------------------------------------------------------------
+
+def build_commands(config):
+    """Pure function: merged config -> {step: [argv, ...]}.
+
+    Python scripts are invoked with sys.executable (never a hardcoded
+    'python3').  The publish commit message is a placeholder here; the real
+    one is substituted at publish time.
+    """
+    py = sys.executable
+    scripts = config["scripts"]
+    det = config["detect"]
+    pub = config["publish"]
+    commands = {}
+    commands["check_env"] = [["bash", scripts["check_env"]]]
+    commands["build"] = [[
+        py, scripts["build"],
+        "--days", str(config["days"]),
+        "--num-builds", str(config["num_builds"]),
+        "--datafusion-dir", config["datafusion_dir"],
+    ]]
+    commands["bench"] = [[
+        py, scripts["bench"],
+        "--output-dir", config["results_dir"],
+        "--benchmarks",
+    ] + [str(b) for b in config["benchmarks"]]]
+    commands["detect"] = [[
+        py, scripts["detect"],
+        "--results-dir", config["results_dir"],
+        "--output-dir", OUT_DIR,
+        "--window", str(det["window"]),
+        "--min-delta-pct", str(det["min_delta_pct"]),
+        "--iqr-multiplier", str(det["iqr_multiplier"]),
+        "--pvalue", str(det["pvalue"]),
+        "--permutations", str(det["permutations"]),
+    ]]
+    commands["report"] = [[
+        py, scripts["report"],
+        "--results-dir", config["results_dir"],
+    ]]
+    commands["publish"] = [
+        ["git", "add", "--"] + [str(p) for p in pub["paths"]],
+        ["git", "commit", "-m", COMMIT_MSG_PLACEHOLDER],
+        ["git", "pull", "--rebase", pub["remote"], pub["branch"]],
+        ["git", "push", pub["remote"], pub["branch"]],
+    ]
+    return commands
+
+
+def dependency_block(step, states, skip_kinds):
+    """Pure function implementing the dependency map.
+
+    states: {step: "ok"|"failed"|"skipped"} for already-decided steps.
+    skip_kinds: {step: "user"|"dependency"} for skipped steps.
+    Returns a human-readable reason string if `step` must be skipped
+    because of its prerequisite, else None.
+    """
+    prereq = HARD_DEPS.get(step)
+    if prereq is not None:
+        state = states.get(prereq)
+        if state == "failed":
+            return "%s failed" % prereq
+        if state == "skipped" and skip_kinds.get(prereq) == "dependency":
+            return "%s was skipped due to an upstream failure" % prereq
+        return None
+    prereq = SOFT_DEPS.get(step)
+    if prereq is not None and states.get(prereq) == "failed":
+        return "%s failed" % prereq
+    return None
+
+
+# ---------------------------------------------------------------------------
+# Step helpers
+# ---------------------------------------------------------------------------
+
+def read_revisions(csv_path, logger=None):
+    """Distinct git_revision values in a results CSV (cheap column read).
+
+    Tolerates a missing header row (known results_2026_03 bug) by assuming
+    the standard schema (git_revision is column 5).  A csv.Error mid-file
+    (NUL bytes, oversized fields, ...) is logged as a WARNING and the
+    revisions collected so far are returned."""
+    revisions = set()
+    if not os.path.exists(csv_path):
+        return revisions
+    with open(csv_path, "r", newline="", encoding="utf-8", errors="replace") as fh:
+        reader = csv.reader(fh)
+        rev_idx = 5
+        try:
+            first = next(reader, None)
+            if first is None:
+                return revisions
+            if first and first[0].strip() == "benchmark_name":
+                try:
+                    rev_idx = first.index("git_revision")
+                except ValueError:
+                    rev_idx = 5
+            elif len(first) > rev_idx and first[rev_idx].strip():
+                revisions.add(first[rev_idx].strip())
+            for row in reader:
+                if len(row) > rev_idx and row[rev_idx].strip():
+                    revisions.add(row[rev_idx].strip())
+        except csv.Error as exc:
+            if logger is not None:
+                logger.log(
+                    "WARNING: csv error reading %s (%s); using the %d "
+                    "revision(s) read so far" % (csv_path, exc, len(revisions))
+                )
+    return revisions
+
+
+def count_alerts(path, logger):
+    """(regressions, improvements) from the alerts.json 'alerts' list.
+
+    Entries with direction == "improvement" count as improvements; entries
+    with direction == "regression" -- or without a direction at all
+    (fallback for older detect output) -- count as regressions ("alerts").
+    Returns (0, 0) on any error."""
+    try:
+        with open(path, "r", encoding="utf-8") as fh:
+            data = json.load(fh)
+    except (OSError, ValueError) as exc:
+        logger.log("WARNING: could not read %s: %s" % (path, exc))
+        return 0, 0
+    alerts = data.get("alerts") if isinstance(data, dict) else None
+    if not isinstance(alerts, list):
+        logger.log("WARNING: %s has no 'alerts' list" % path)
+        return 0, 0
+    regressions = 0
+    improvements = 0
+    for entry in alerts:
+        direction = entry.get("direction") if isinstance(entry, dict) else None
+        if direction == "improvement":
+            improvements += 1
+        else:
+            regressions += 1
+    return regressions, improvements
+
+
+def list_build_files():
+    """Set of builds/datafusion-cli@* files (the bench step's inputs)."""
+    return set(
+        p for p in glob.glob("builds/datafusion-cli@*") if os.path.isfile(p)
+    )
+
+
+def prune_builds(keep, logger):
+    """Keep the newest `keep` files matching builds/datafusion-cli@* (by
+    mtime), delete the rest.  keep <= 0 disables pruning."""
+    if keep <= 0:
+        logger.log("prune: disabled (prune_builds_keep=%d)" % keep)
+        return
+    candidates = [
+        p for p in glob.glob("builds/datafusion-cli@*") if os.path.isfile(p)
+    ]
+    candidates.sort(key=os.path.getmtime, reverse=True)  # newest first
+    doomed = candidates[keep:]
+    if not doomed:
+        logger.log(
+            "prune: %d build(s) present, keeping up to %d; nothing to prune"
+            % (len(candidates), keep)
+        )
+        return
+    pruned = 0
+    for path in doomed:
+        try:
+            os.remove(path)
+            pruned += 1
+            logger.log("prune: deleted %s" % path)
+        except OSError as exc:
+            logger.log("WARNING: prune could not delete %s: %s" % (path, exc))
+    logger.log(
+        "prune: deleted %d old build(s), kept the newest %d of %d"
+        % (pruned, min(keep, len(candidates)), len(candidates))
+    )
+
+
+def publish_commit_message(new_revisions, alerts):
+    return "nightly: %s (%d new revision(s), %d alert(s))" % (
+        utc_now().strftime("%Y-%m-%d"),
+        new_revisions,
+        alerts,
+    )
+
+
+def do_publish(config, logger, new_revisions, alerts):
+    """git add / commit / pull --rebase / push.  Returns True on success.
+
+    Refuses to run (before any git mutation) when the currently checked-out
+    branch differs from publish.branch."""
+    pub = config["publish"]
+    remote = pub["remote"]
+    branch = pub["branch"]
+
+    logger.log("+ git rev-parse --abbrev-ref HEAD")
+    try:
+        proc = subprocess.run(
+            ["git", "rev-parse", "--abbrev-ref", "HEAD"],
+            stdout=subprocess.PIPE,
+            stderr=subprocess.STDOUT,
+            text=True,
+            encoding="utf-8",
+            errors="replace",
+        )
+    except OSError as exc:
+        logger.log("publish: could not run git: %s" % exc)
+        return False
+    current = proc.stdout.strip()
+    if proc.returncode != 0:
+        logger.log(
+            "publish: 'git rev-parse --abbrev-ref HEAD' failed (exit %d): %s"
+            % (proc.returncode, current)
+        )
+        return False
+    if current != branch:
+        logger.log(
+            "publish: current branch is '%s' but publish.branch is '%s'; "
+            "refusing to commit/rebase/push from the wrong branch. Check "
+            "out '%s' (or fix publish.branch in the config) and re-run."
+            % (current, branch, branch)
+        )
+        return False
+
+    paths = [str(p) for p in pub["paths"]]
+    existing = [p for p in paths if os.path.exists(p)]
+    missing = [p for p in paths if p not in existing]
+    if missing:
+        logger.log(
+            "publish: skipping configured paths that do not exist: %s"
+            % ", ".join(missing)
+        )
+    if not existing:
+        logger.log("publish: none of the configured paths exist; nothing to publish")
+        return True
+
+    rc = run_streamed(["git", "add", "--"] + existing, logger)
+    if rc != 0:
+        logger.log("publish: git add failed (exit %d)" % rc)
+        return False
+
+    # Anything actually staged?
+    rc = run_streamed(["git", "diff", "--cached", "--quiet"], logger)
+    if rc == 0:
+        logger.log("publish: nothing staged; skipping commit and push")
+        return True
+    if rc != 1:
+        logger.log("publish: git diff --cached failed (exit %d)" % rc)
+        return False
+
+    message = publish_commit_message(new_revisions, alerts)
+    rc = run_streamed(["git", "commit", "-m", message], logger)
+    if rc != 0:
+        logger.log("publish: git commit failed (exit %d)" % rc)
+        return False
+
+    rc = run_streamed(["git", "pull", "--rebase", remote, branch], logger)
+    if rc != 0:
+        run_streamed(["git", "rebase", "--abort"], logger)  # best effort
+        logger.log(
+            "publish: ABORTED — 'git pull --rebase %s %s' failed (exit %d), "
+            "most likely a conflict with upstream changes. The rebase was "
+            "aborted; the nightly commit is preserved on your local branch. "
+            "To publish manually: resolve with 'git pull --rebase %s %s', "
+            "then 'git push %s %s'." % (remote, branch, rc, remote, branch, remote, branch)
+        )
+        return False
+
+    rc = run_streamed(["git", "push", remote, branch], logger)
+    if rc != 0:
+        logger.log(
+            "publish: git push failed (exit %d). The commit is local; "
+            "push manually with 'git push %s %s'." % (rc, remote, branch)
+        )
+        return False
+    logger.log("publish: pushed to %s %s" % (remote, branch))
+    return True
+
+
+# ---------------------------------------------------------------------------
+# Dry run
+# ---------------------------------------------------------------------------
+
+def print_dry_run(config, args, logger):
+    """Print the exact command list per step without executing anything."""
+    commands = build_commands(config)
+    logger.log("DRY RUN: the following commands would be executed (nothing runs)")
+
+    if not config["check_env"]:
+        logger.log("step check_env: SKIP (check_env disabled in config)")
+    elif platform.system() != "Linux":
+        logger.log(
+            "step check_env: SKIP (enabled, but platform is %s, not Linux)"
+            % platform.system()
+        )
+    else:
+        logger.log("step check_env: %s" % format_cmd(commands["check_env"][0]))
+
+    skip_flags = [
+        ("build", args.skip_build, "--skip-build"),
+        ("bench", args.skip_bench, "--skip-bench"),
+        ("detect", args.skip_detect, "--skip-detect"),
+        ("report", args.skip_report, "--skip-report"),
+    ]
+    for step, skipped, flag in skip_flags:
+        if skipped:
+            logger.log("step %s: SKIP (%s)" % (step, flag))
+        else:
+            logger.log("step %s: %s" % (step, format_cmd(commands[step][0])))
+
+    if args.no_publish:
+        logger.log("step publish: SKIP (--no-publish)")
+    elif not config["publish"]["enabled"]:
+        logger.log("step publish: SKIP (publish.enabled is false)")
+    else:
+        for cmd in commands["publish"]:
+            logger.log("step publish: %s" % format_cmd(cmd))
+        logger.log(
+            "publish would commit paths: %s"
+            % ", ".join(str(p) for p in config["publish"]["paths"])
+        )
+    if not args.skip_bench and config["prune_builds_keep"] > 0:
+        logger.log(
+            "after bench: prune builds/datafusion-cli@* keeping the newest %d"
+            % config["prune_builds_keep"]
+        )
+
+
+# ---------------------------------------------------------------------------
+# Pipeline
+# ---------------------------------------------------------------------------
+
+def run_pipeline(config, args, logger):
+    """Execute the steps.  Returns {'steps', 'ok', 'alerts', 'improvements',
+    'new_revisions', 'new_builds'}."""
+    steps = {}
+    skip_kinds = {}
+    alerts_count = 0
+    improvements_count = 0
+    new_revisions = 0
+    new_builds = 0
+    aborted = False  # set when check_env hard-fails: skip everything after
+
+    commands = build_commands(config)
+
+    def states_view():
+        return dict((name, info["state"]) for name, info in steps.items())
+
+    def mark_skipped(name, kind, reason):
+        steps[name] = {"state": "skipped", "seconds": 0.0}
+        skip_kinds[name] = kind
+        logger.log("step %s: skipped (%s)" % (name, reason))
+
+    def finish(name, ok, started):
+        seconds = round(time.time() - started, 3)
+        steps[name] = {"state": "ok" if ok else "failed", "seconds": seconds}
+        logger.log("step %s: %s (%.1fs)" % (name, "ok" if ok else "FAILED", seconds))
+
+    # ---- check_env ---------------------------------------------------------
+    if not config["check_env"]:
+        mark_skipped("check_env", "user", "disabled in config")
+    elif platform.system() != "Linux":
+        mark_skipped(
+            "check_env",
+            "user",
+            "check_env is enabled but this platform is %s, not Linux; "
+            "skipping the environment check" % platform.system(),
+        )
+    else:
+        started = time.time()
+        rc = run_streamed(commands["check_env"][0], logger)
+        finish("check_env", rc == 0, started)
+        if rc != 0:
+            aborted = True
+            logger.log(
+                "check_env FAILED (exit %d): the box is not in a benchmarkable "
+                "state; aborting the run (all remaining steps skipped). "
+                "Run 'bash nightly/tune.sh' or see nightly/README.md." % rc
+            )
+
+    # ---- build -------------------------------------------------------------
+    if aborted:
+        mark_skipped("build", "dependency", "check_env failed")
+    elif args.skip_build:
+        mark_skipped("build", "user", "--skip-build")
+    else:
+        builds_before = list_build_files()
+        started = time.time()
+        rc = run_streamed(commands["build"][0], logger)
+        new_builds = len(list_build_files() - builds_before)
+        logger.log("build: %d new build(s) appeared in builds/" % new_builds)
+        finish("build", rc == 0, started)
+        if rc == 0 and new_builds == 0:
+            logger.log(
+                "WARNING: build succeeded but produced no new "
+                "builds/datafusion-cli@* binaries -- fine on a quiet day "
+                "with no new upstream commits, suspicious otherwise"
+            )
+
+    # ---- bench -------------------------------------------------------------
+    if aborted:
+        mark_skipped("bench", "dependency", "check_env failed")
+    else:
+        block = dependency_block("bench", states_view(), skip_kinds)
+        if block:
+            mark_skipped("bench", "dependency", block)
+        elif args.skip_bench:
+            mark_skipped("bench", "user", "--skip-bench")
+        else:
+            results_csv = os.path.join(config["results_dir"], "results.csv")
+            revisions_before = read_revisions(results_csv, logger)
+            started = time.time()
+            rc = run_streamed(commands["bench"][0], logger)
+            revisions_after = read_revisions(results_csv, logger)
+            new_revisions = len(revisions_after - revisions_before)
+            logger.log(
+                "bench: %d new revision(s) appeared in %s"
+                % (new_revisions, results_csv)
+            )
+            ok = rc == 0
+            if ok and new_builds > 0 and new_revisions == 0:
+                ok = False
+                logger.log(
+                    "bench FAILED effect check: %d new binar%s existed but "
+                    "no revisions were added to %s"
+                    % (new_builds, "y" if new_builds == 1 else "ies",
+                       results_csv)
+                )
+            finish("bench", ok, started)
+            if ok:
+                prune_builds(config["prune_builds_keep"], logger)
+
+    # ---- detect ------------------------------------------------------------
+    if aborted:
+        mark_skipped("detect", "dependency", "check_env failed")
+    else:
+        block = dependency_block("detect", states_view(), skip_kinds)
+        if block:
+            mark_skipped("detect", "dependency", block)
+        elif args.skip_detect:
+            mark_skipped("detect", "user", "--skip-detect")
+        else:
+            started = time.time()
+            rc = run_streamed(commands["detect"][0], logger)
+            ok = rc in (0, 2)
+            if ok:
+                alerts_count, improvements_count = count_alerts(
+                    ALERTS_PATH, logger)
+                if rc == 2:
+                    logger.log(
+                        "detect: exit code 2 — regression alerts present "
+                        "(%d alert(s) in %s)" % (alerts_count, ALERTS_PATH)
+                    )
+            finish("detect", ok, started)
+
+    # ---- report ------------------------------------------------------------
+    if aborted:
+        mark_skipped("report", "dependency", "check_env failed")
+    else:
+        block = dependency_block("report", states_view(), skip_kinds)
+        if block:
+            mark_skipped("report", "dependency", block)
+        elif args.skip_report:
+            mark_skipped("report", "user", "--skip-report")
+        else:
+            started = time.time()
+            rc = run_streamed(commands["report"][0], logger)
+            finish("report", rc == 0, started)
+
+    # ---- publish -----------------------------------------------------------
+    if aborted:
+        mark_skipped("publish", "dependency", "check_env failed")
+    elif args.no_publish:
+        mark_skipped("publish", "user", "--no-publish")
+    elif not config["publish"]["enabled"]:
+        mark_skipped("publish", "user", "publish.enabled is false")
+    else:
+        block = dependency_block("publish", states_view(), skip_kinds)
+        if block:
+            mark_skipped("publish", "dependency", block)
+        else:
+            started = time.time()
+            ok = do_publish(config, logger, new_revisions, alerts_count)
+            finish("publish", ok, started)
+
+    overall_ok = all(info["state"] != "failed" for info in steps.values())
+    return {
+        "steps": steps,
+        "ok": overall_ok,
+        "alerts": alerts_count,
+        "improvements": improvements_count,
+        "new_revisions": new_revisions,
+        "new_builds": new_builds,
+    }
+
+
+# ---------------------------------------------------------------------------
+# Main
+# ---------------------------------------------------------------------------
+
+def parse_args(argv=None):
+    parser = argparse.ArgumentParser(
+        description="Nightly benchmark orchestrator: "
+        "check_env -> build -> bench -> detect -> report -> publish"
+    )
+    parser.add_argument("--config", default=DEFAULT_CONFIG_PATH,
+                        help="Config file (default: %(default)s)")
+    parser.add_argument("--days", type=int, default=None,
+                        help="Override config 'days' (build commits from the last N days)")
+    parser.add_argument("--dry-run", action="store_true",
+                        help="Print the commands each step would run, then exit")
+    parser.add_argument("--skip-build", action="store_true",
+                        help="Skip the build step")
+    parser.add_argument("--skip-bench", action="store_true",
+                        help="Skip the bench step")
+    parser.add_argument("--skip-detect", action="store_true",
+                        help="Skip the detect step")
+    parser.add_argument("--skip-report", action="store_true",
+                        help="Skip the report step")
+    parser.add_argument("--no-publish", action="store_true",
+                        help="Skip the publish step regardless of config")
+    return parser.parse_args(argv)
+
+
+def main(argv=None, repo_root=None):
+    args = parse_args(argv)
+
+    # Run from the repo root (parent of the nightly/ directory this file
+    # lives in): run_clickbench.py resolves data/ relative to the CWD.
+    if repo_root is None:
+        repo_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+    os.chdir(repo_root)
+
+    started_at = utc_iso()
+    log_path = "%s/nightly-%s.log" % (LOG_DIR, utc_now().strftime("%Y-%m-%d"))
+    logger = Logger(log_path)
+    try:
+        logger.log("nightly.py starting at %s (cwd: %s)" % (started_at, os.getcwd()))
+
+        explicit_config = (
+            os.path.normpath(args.config) != os.path.normpath(DEFAULT_CONFIG_PATH)
+        )
+        config = load_config(args.config, explicit_config, logger)
+        if config is None:
+            return 1
+        config = apply_cli_overrides(config, args)
+
+        if args.dry_run:
+            print_dry_run(config, args, logger)
+            return 0
+
+        if not acquire_lock(LOCK_PATH, logger):
+            return 1
+        try:
+            result = run_pipeline(config, args, logger)
+        finally:
+            release_lock(LOCK_PATH)
+
+        status = {
+            "started_at": started_at,
+            "finished_at": utc_iso(),
+            "ok": result["ok"],
+            "steps": result["steps"],
+            "alerts": result["alerts"],
+            "improvements": result["improvements"],
+            "new_revisions": result["new_revisions"],
+            "new_builds": result["new_builds"],
+        }
+        os.makedirs(OUT_DIR, exist_ok=True)
+        with open(STATUS_PATH, "w", encoding="utf-8") as fh:
+            json.dump(status, fh, indent=2)
+            fh.write("\n")
+        logger.log(
+            "status written to %s (ok=%s, alerts=%d, improvements=%d, "
+            "new_revisions=%d, new_builds=%d)"
+            % (STATUS_PATH, result["ok"], result["alerts"],
+               result["improvements"], result["new_revisions"],
+               result["new_builds"])
+        )
+        return 0 if result["ok"] else 1
+    finally:
+        logger.close()
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/nightly/nightly.sh b/nightly/nightly.sh
new file mode 100755
index 0000000..6f09c75
--- /dev/null
+++ b/nightly/nightly.sh
@@ -0,0 +1,119 @@
+#!/usr/bin/env bash
+# nightly.sh - cron/systemd entry point for the nightly DataFusion benchmark run.
+#
+# The heavy lifting lives in nightly/nightly.py; this wrapper only:
+#   1. takes an exclusive flock so overlapping cron fires are harmless
+#   2. fixes up cron's minimal PATH so cargo + python3 are visible
+#   3. runs `git pull --rebase` so the harness itself is up to date
+#      (skipped if the working tree is dirty, e.g. unpublished results;
+#      set NIGHTLY_NO_PULL to skip always, e.g. under GitHub Actions checkout)
+#   4. runs nightly/nightly.py, teeing output to nightly/logs/wrapper-<date>.log
+#   5. propagates nightly.py's exit code; invokes $NIGHTLY_NOTIFY_CMD on
+#      failure, and on regression alerts after a successful run
+#
+# Environment:
+#   NIGHTLY_NO_PULL      skip the git pull --rebase step (any non-empty value
+#                        other than "0")
+#   NIGHTLY_NOTIFY_CMD   generic notification hook: run through
+#                        `bash -c "${NIGHTLY_NOTIFY_CMD} \"\$1\"" _ "$msg"`,
+#                        so quoting inside the variable works and the short
+#                        message arrives as "$1" appended to your command.
+#                        Fires when the wrapper or nightly.py fails, and after
+#                        a successful run that produced regression alerts.
+#                        Inline example (message becomes curl's -d argument):
+#                          NIGHTLY_NOTIFY_CMD='curl -fsS https://ntfy.sh/my-topic -d'
+#                        For anything that wants the message on stdin (mail,
+#                        slack webhooks with JSON, ...) use a wrapper script
+#                        that takes it as $1:
+#                          NIGHTLY_NOTIFY_CMD='/usr/local/bin/nightly-notify.sh'
+#                          # nightly-notify.sh: echo "$1" | mail -s "nightly" ops@example.com
+#
+# Locking: this script holds flock(1) on nightly/.shlock for its whole lifetime
+# (including the git pull). nightly.py additionally creates its own portable
+# lock file nightly/.lock. Both are intentional: the flock guards the wrapper,
+# the python lock guards direct `python3 nightly/nightly.py` invocations.
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+REPO_ROOT="$(cd "${SCRIPT_DIR}/.." && pwd)"
+cd "${REPO_ROOT}"
+
+# cron runs with a minimal PATH; make sure cargo (needed by the build step) and
+# the usual local bins are visible without hand-editing the crontab.
+export PATH="${HOME}/.cargo/bin:/usr/local/bin:${PATH}"
+
+LOG_DIR="${REPO_ROOT}/nightly/logs"
+mkdir -p "${LOG_DIR}"
+LOG_FILE="${LOG_DIR}/wrapper-$(date -u +%F).log"
+LOCK_FILE="${REPO_ROOT}/nightly/.shlock"
+
+log() {
+  printf '[nightly.sh %s] %s\n' "$(date -u +%Y-%m-%dT%H:%M:%SZ)" "$*" | tee -a "${LOG_FILE}"
+}
+
+notify() {
+  # Generic notification hook. NIGHTLY_NOTIFY_CMD is interpreted by bash -c so
+  # quoting inside the variable works; the message is appended as "$1".
+  if [ -n "${NIGHTLY_NOTIFY_CMD:-}" ]; then
+    bash -c "${NIGHTLY_NOTIFY_CMD} \"\$1\"" _ "$1" || log "warning: NIGHTLY_NOTIFY_CMD exited non-zero"
+  fi
+}
+
+# --- lock --------------------------------------------------------------------
+if command -v flock >/dev/null 2>&1; then
+  exec 9>"${LOCK_FILE}"
+  if ! flock -n 9; then
+    log "another nightly.sh run holds ${LOCK_FILE}; exiting (overlap is harmless by design)"
+    exit 0
+  fi
+else
+  # flock(1) is util-linux (Linux). On macOS / Git Bash we fall back to
+  # nightly.py's own portable lock.
+  log "warning: flock(1) not available; relying on nightly.py's own lock only"
+fi
+
+# --- keep the harness repo up to date ----------------------------------------
+if [ -n "${NIGHTLY_NO_PULL:-}" ] && [ "${NIGHTLY_NO_PULL}" != "0" ]; then
+  log "NIGHTLY_NO_PULL=${NIGHTLY_NO_PULL}: skipping git pull --rebase"
+elif [ -n "$(git status --porcelain)" ]; then
+  # A rebase pull permanently fails on a dirty tree, and dirty is the steady
+  # state when publish is disabled (results/ grows every night). Deliberately
+  # NOT --autostash: stashing results data and reapplying it over a rebase
+  # risks silent data loss on conflict.
+  log "warning: working tree dirty (publish disabled?), skipping pull"
+else
+  log "running git pull --rebase"
+  if ! git pull --rebase 2>&1 | tee -a "${LOG_FILE}"; then
+    msg="datafusion nightly: git pull --rebase failed on $(hostname 2>/dev/null || echo unknown-host) at $(date -u +%Y-%m-%dT%H:%M:%SZ); see ${LOG_FILE}"
+    log "${msg}"
+    notify "${msg}"
+    exit 1
+  fi
+fi
+
+# --- run the orchestrator, propagate its exit code ----------------------------
+log "starting nightly.py ${*:-}"
+rc=0
+python3 "${REPO_ROOT}/nightly/nightly.py" ${1+"$@"} 2>&1 | tee -a "${LOG_FILE}" || rc=$?
+
+if [ "${rc}" -ne 0 ]; then
+  msg="datafusion nightly: nightly.py exited ${rc} on $(hostname 2>/dev/null || echo unknown-host) at $(date -u +%Y-%m-%dT%H:%M:%SZ); see ${LOG_FILE}"
+  log "${msg}"
+  notify "${msg}"
+else
+  # Success: surface regression alerts (nightly.py already treated them as
+  # success-with-alerts and recorded the count in status.json).
+  alerts="$(python3 -c 'import json, sys
+try:
+    with open(sys.argv[1]) as fh:
+        print(int(json.load(fh).get("alerts") or 0))
+except Exception:
+    print(0)' "${REPO_ROOT}/nightly/out/status.json" 2>/dev/null || echo 0)"
+  if [ "${alerts}" -gt 0 ] 2>/dev/null; then
+    msg="nightly: ${alerts} regression alert(s) - see nightly/out/alerts.md"
+    log "${msg}"
+    notify "${msg}"
+  fi
+fi
+log "done (exit ${rc})"
+exit "${rc}"
diff --git a/nightly/systemd/datafusion-nightly.service b/nightly/systemd/datafusion-nightly.service
new file mode 100644
index 0000000..26d7689
--- /dev/null
+++ b/nightly/systemd/datafusion-nightly.service
@@ -0,0 +1,42 @@
+# datafusion-nightly.service - one nightly DataFusion benchmark pass.
+#
+# Companion to datafusion-nightly.timer, which triggers this service at
+# 02:00 UTC daily. Before installing, replace every REPLACE_ME below:
+#   User=REPLACE_ME              -> the benchmark user (e.g. bench)
+#   WorkingDirectory=REPLACE_ME  -> absolute path of this repo checkout
+#   ExecStart=REPLACE_ME/...     -> same absolute repo path
+#
+# Install as a SYSTEM unit (recommended; survives logout and may use Nice=-5):
+#   sudo cp nightly/systemd/datafusion-nightly.service \
+#           nightly/systemd/datafusion-nightly.timer /etc/systemd/system/
+#   sudo systemctl daemon-reload
+#   sudo systemctl enable --now datafusion-nightly.timer
+#   systemctl list-timers datafusion-nightly.timer     # verify the next run
+#
+# Or as a USER unit (no root needed; remove the User= line below, and drop
+# Nice=-5 too - negative nice values are not allowed for user units):
+#   mkdir -p ~/.config/systemd/user
+#   cp nightly/systemd/datafusion-nightly.service \
+#      nightly/systemd/datafusion-nightly.timer ~/.config/systemd/user/
+#   systemctl --user daemon-reload
+#   systemctl --user enable --now datafusion-nightly.timer
+#   loginctl enable-linger $USER   # so the timer fires without a login session
+#
+# Logs: journalctl -u datafusion-nightly.service (plus nightly/logs/ files).
+
+[Unit]
+Description=DataFusion nightly benchmark run
+Wants=network-online.target
+After=network-online.target
+
+[Service]
+Type=oneshot
+User=REPLACE_ME
+WorkingDirectory=REPLACE_ME
+ExecStart=REPLACE_ME/nightly/nightly.sh
+Nice=-5
+# Type=oneshot has no start timeout by default; cap it so a wedged build or
+# benchmark cannot hold the flock forever.
+TimeoutStartSec=12h
+# Optional: failure notification hook consumed by nightly.sh, e.g.
+#Environment=NIGHTLY_NOTIFY_CMD=/usr/local/bin/notify-bench-failure
diff --git a/nightly/systemd/datafusion-nightly.timer b/nightly/systemd/datafusion-nightly.timer
new file mode 100644
index 0000000..048f2b8
--- /dev/null
+++ b/nightly/systemd/datafusion-nightly.timer
@@ -0,0 +1,19 @@
+# datafusion-nightly.timer - fires datafusion-nightly.service at 02:00 UTC daily.
+#
+# Install: see the comment block in datafusion-nightly.service (copy BOTH files,
+# systemctl daemon-reload, then `systemctl enable --now datafusion-nightly.timer`;
+# add --user for a user unit).
+#
+# Persistent=true: if the box was down or asleep at 02:00 UTC, the run fires as
+# soon as it is back up instead of silently skipping that day.
+
+[Unit]
+Description=DataFusion nightly benchmark timer
+
+[Timer]
+OnCalendar=*-*-* 02:00:00 UTC
+Persistent=true
+Unit=datafusion-nightly.service
+
+[Install]
+WantedBy=timers.target
diff --git a/nightly/tests/fixtures/metal_subset.csv b/nightly/tests/fixtures/metal_subset.csv
new file mode 100644
index 0000000..b3bedb5
--- /dev/null
+++ b/nightly/tests/fixtures/metal_subset.csv
@@ -0,0 +1,1951 @@
+benchmark_name,query_name,query_type,execution_time,run_timestamp,git_revision,git_revision_timestamp,num_cores
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+clickbench_partitioned,q6,query,0.036,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q6,query,0.033,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q6,query,0.036,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q6,query,0.035,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q6,query,0.035,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q28,query,2.011,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q28,query,2.141,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q28,query,1.994,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q28,query,2.061,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q28,query,2.066,2025-07-11 05:48:05,5944e8bd0,2025-05-29T21:42:54+08:00,192
+clickbench_partitioned,q0,query,0.047,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q0,query,0.036,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q0,query,0.035,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q0,query,0.038,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q0,query,0.038,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q6,query,0.032,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q6,query,0.034,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q6,query,0.033,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q6,query,0.035,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q6,query,0.036,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q28,query,1.934,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q28,query,2.002,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q28,query,2.19,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q28,query,2.045,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q28,query,1.982,2025-07-11 05:53:25,8e8c116f5,2025-06-14T22:40:13-07:00,192
+clickbench_partitioned,q0,query,0.048,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q0,query,0.004,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q0,query,0.004,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q0,query,0.003,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q0,query,0.003,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q6,query,0.047,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q6,query,0.003,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q6,query,0.003,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q6,query,0.003,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q6,query,0.003,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q28,query,1.931,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q28,query,1.953,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q28,query,2.005,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q28,query,1.945,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q28,query,2.052,2025-07-11 05:58:43,c37b85133,2025-06-23T16:25:37-04:00,192
+clickbench_partitioned,q0,query,0.055,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q0,query,0.034,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q0,query,0.038,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q0,query,0.039,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q0,query,0.037,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q6,query,0.032,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q6,query,0.034,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q6,query,0.034,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q6,query,0.037,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q6,query,0.036,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q28,query,2.013,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q28,query,2.037,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q28,query,1.997,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q28,query,2.026,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q28,query,1.985,2025-07-11 06:02:15,59c6a020b,2025-06-09T17:37:01+08:00,192
+clickbench_partitioned,q0,query,0.048,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q0,query,0.004,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q0,query,0.003,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q0,query,0.004,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q0,query,0.004,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q6,query,0.047,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q6,query,0.003,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q6,query,0.004,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q6,query,0.003,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q6,query,0.003,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q28,query,2.023,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q28,query,2.039,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q28,query,2.152,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q28,query,2.088,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
+clickbench_partitioned,q28,query,2.008,2025-07-11 06:04:03,7cecc1827,2025-06-21T07:41:02-04:00,192
diff --git a/nightly/tests/test_detect.py b/nightly/tests/test_detect.py
new file mode 100644
index 0000000..a085112
--- /dev/null
+++ b/nightly/tests/test_detect.py
@@ -0,0 +1,563 @@
+#!/usr/bin/env python3
+"""Tests for nightly/detect.py.
+
+Run from the repo root with:
+    python -m unittest discover nightly/tests
+"""
+import json
+import os
+import random
+import shutil
+import sys
+import tempfile
+import unittest
+from datetime import datetime, timedelta, timezone
+
+_NIGHTLY_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir))
+if _NIGHTLY_DIR not in sys.path:
+    sys.path.insert(0, _NIGHTLY_DIR)
+
+import detect  # noqa: E402
+
+FIXTURES_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'fixtures')
+
+CSV_HEADER = ('benchmark_name,query_name,query_type,execution_time,'
+              'run_timestamp,git_revision,git_revision_timestamp,num_cores')
+
+
+def synth_csv_lines(medians_by_query, runs=3, jitter_seed=None, jitter=0.0,
+                    start=None):
+    """Build CSV data lines: one revision per index of each query's median
+    list, `runs` runs per revision. Revisions are shared across queries."""
+    if start is None:
+        start = datetime(2025, 1, 1, tzinfo=timezone.utc)
+    rng = random.Random(jitter_seed)
+    lines = []
+    n = max(len(m) for m in medians_by_query.values())
+    for i in range(n):
+        rev = 'r%03d' % i
+        rev_ts = (start + timedelta(days=i)).isoformat()
+        for query, medians in medians_by_query.items():
+            if i >= len(medians):
+                continue
+            # one run_timestamp per revision, matching run_clickbench.py
+            # which writes a single run_timestamp per session
+            run_ts = (start + timedelta(days=i, hours=8)
+                      ).strftime('%Y-%m-%d %H:%M:%S')
+            for run in range(runs):
+                value = medians[i]
+                if jitter:
+                    value *= 1.0 + rng.uniform(-jitter, jitter)
+                lines.append('clickbench_partitioned,%s,query,%.6f,%s,%s,%s,8'
+                             % (query, value, run_ts, rev, rev_ts))
+    return lines
+
+
+def write_csv(path, lines, header=True):
+    with open(path, 'w', encoding='utf-8') as fh:
+        if header:
+            fh.write(CSV_HEADER + '\n')
+        fh.write('\n'.join(lines) + '\n')
+
+
+def flat_series(n, base=1.0, noise=0.005, seed=7):
+    rng = random.Random(seed)
+    return [base * (1.0 + rng.uniform(-noise, noise)) for _ in range(n)]
+
+
+class TestParseTimestamp(unittest.TestCase):
+    def test_z_suffix(self):
+        dt = detect.parse_timestamp('2025-06-19T18:09:42Z')
+        self.assertIsNotNone(dt)
+        self.assertEqual(dt.utcoffset(), timedelta(0))
+
+    def test_offset(self):
+        dt = detect.parse_timestamp('2025-06-19T19:09:42+01:00')
+        z = detect.parse_timestamp('2025-06-19T18:09:42Z')
+        self.assertEqual(dt, z)
+
+    def test_naive_assumed_utc(self):
+        dt = detect.parse_timestamp('2026-03-30 13:52:55')
+        self.assertIsNotNone(dt.tzinfo)
+
+    def test_garbage(self):
+        self.assertIsNone(detect.parse_timestamp('not-a-date'))
+        self.assertIsNone(detect.parse_timestamp(''))
+
+
+class CsvTestCase(unittest.TestCase):
+    def setUp(self):
+        self.tmp = tempfile.mkdtemp(prefix='detect-test-')
+
+    def tearDown(self):
+        shutil.rmtree(self.tmp, ignore_errors=True)
+
+
+class TestLoadResults(CsvTestCase):
+    def test_headerless_file(self):
+        lines = synth_csv_lines({'q1': [1.0, 1.1, 1.05]})
+        write_csv(os.path.join(self.tmp, 'results.csv'), lines, header=False)
+        rows = detect.load_results(self.tmp)
+        self.assertEqual(len(rows), 9)
+        self.assertEqual(rows[0]['benchmark_name'], 'clickbench_partitioned')
+
+    def test_query_type_filter(self):
+        lines = synth_csv_lines({'q1': [1.0, 1.1]})
+        lines.append('clickbench_partitioned,q1,table_creation,9.9,'
+                     '2025-01-05 08:00:00,r009,2025-01-05T00:00:00+00:00,8')
+        write_csv(os.path.join(self.tmp, 'results.csv'), lines)
+        rows = detect.load_results(self.tmp)
+        self.assertEqual(len(rows), 6)
+        self.assertTrue(all(r['execution_time'] < 9 for r in rows))
+
+    def test_dedup_across_files(self):
+        lines = synth_csv_lines({'q1': [1.0, 1.1, 1.2]})
+        write_csv(os.path.join(self.tmp, 'a.csv'), lines)
+        write_csv(os.path.join(self.tmp, 'b.csv'), lines, header=False)
+        rows = detect.load_results(self.tmp)
+        # b.csv is an exact copy of a.csv: every row collapses with its twin
+        self.assertEqual(len(rows), 9)
+
+    def test_within_file_repeats_survive(self):
+        # run_clickbench.py writes one run_timestamp per session and
+        # ms-quantized times, so fast queries emit identical rows that are
+        # genuine repeated measurements, not duplicates to collapse
+        ts = '2025-01-01 08:00:00'
+        rev_ts = '2025-01-01T00:00:00+00:00'
+        lines = ['clickbench_partitioned,q0,query,%s,%s,r000,%s,8'
+                 % (v, ts, rev_ts)
+                 for v in ('0.035', '0.035', '0.035', '0.036')]
+        write_csv(os.path.join(self.tmp, 'results.csv'), lines)
+        rows = detect.load_results(self.tmp)
+        self.assertEqual(len(rows), 4)
+        series = detect.build_series(rows)
+        points = series[('clickbench_partitioned', 'q0')]
+        self.assertEqual(points[0]['median'], 0.035)
+
+    def test_dedup_multiplicity_across_files(self):
+        ts = '2025-01-01 08:00:00'
+        rev_ts = '2025-01-01T00:00:00+00:00'
+        line = ('clickbench_partitioned,q0,query,0.035,%s,r000,%s,8'
+                % (ts, rev_ts))
+        write_csv(os.path.join(self.tmp, 'a.csv'), [line] * 3)
+        write_csv(os.path.join(self.tmp, 'b.csv'), [line] * 2)
+        rows = detect.load_results(self.tmp)
+        # the Nth duplicate in b.csv collapses with the Nth in a.csv
+        self.assertEqual(len(rows), 3)
+
+    def test_malformed_rows_skipped(self):
+        lines = synth_csv_lines({'q1': [1.0, 1.1]})
+        lines.insert(1, 'short,row')
+        lines.insert(2, 'clickbench_partitioned,q1,query,not_a_number,'
+                        '2025-01-01 08:00:00,rbad,2025-01-01T00:00:00+00:00,8')
+        write_csv(os.path.join(self.tmp, 'results.csv'), lines)
+        rows = detect.load_results(self.tmp)
+        self.assertEqual(len(rows), 6)
+
+    def test_no_csv_files(self):
+        with self.assertRaises(FileNotFoundError):
+            detect.load_results(self.tmp)
+
+    def test_nul_bytes_and_bad_utf8_tolerated(self):
+        # csv.reader raises "line contains NUL" on raw NUL bytes, and strict
+        # utf-8 decoding raises on invalid bytes; a single corrupted results
+        # file must not abort the whole nightly run
+        lines = synth_csv_lines({'q1': [1.0, 1.1]})
+        path = os.path.join(self.tmp, 'results.csv')
+        write_csv(path, lines)
+        with open(path, 'ab') as fh:
+            fh.write(b'clickbench_partitioned,q\x00N,query,1.0,'
+                     b'2025-01-05 08:00:00,r009,2025-01-05T00:00:00+00:00,8\n')
+            fh.write(b'\xff\xfe not,a,valid,utf8,row\n')
+        rows = detect.load_results(self.tmp)
+        # NUL is stripped, so the q\x00N row survives as qN; the undecodable
+        # row is short and gets skipped as malformed
+        self.assertEqual(len(rows), 7)
+        self.assertEqual(len([r for r in rows if r['query_name'] == 'qN']), 1)
+
+    def test_oversized_field_skips_file_not_run(self):
+        # an unterminated quote makes csv accumulate one giant field until it
+        # exceeds field_size_limit and raises csv.Error; that must skip the
+        # rest of the corrupted file, not abort the whole run
+        lines = synth_csv_lines({'q1': [1.0, 1.1]})
+        write_csv(os.path.join(self.tmp, 'a.csv'), lines)
+        write_csv(os.path.join(self.tmp, 'b.csv'), ['"' + 'x' * 200000])
+        rows = detect.load_results(self.tmp)
+        self.assertEqual(len(rows), 6)
+
+
+class TestBuildSeries(CsvTestCase):
+    def test_ragged_queries(self):
+        # q2 is missing from the middle revision — series just lacks a point
+        lines = synth_csv_lines({'q1': [1.0, 1.1, 1.2]})
+        lines = [ln for ln in lines] + [
+            'clickbench_partitioned,q2,query,2.0,2025-01-01 08:00:00,r000,2025-01-01T00:00:00+00:00,8',
+            'clickbench_partitioned,q2,query,2.1,2025-01-03 08:00:00,r002,2025-01-03T00:00:00+00:00,8',
+        ]
+        write_csv(os.path.join(self.tmp, 'results.csv'), lines)
+        series = detect.build_series(detect.load_results(self.tmp))
+        self.assertEqual(len(series[('clickbench_partitioned', 'q1')]), 3)
+        self.assertEqual(len(series[('clickbench_partitioned', 'q2')]), 2)
+
+    def test_ordering_and_median(self):
+        lines = [
+            # out of file order; mixed tz offsets; 2 runs for the revision
+            'b,q1,query,3.0,2025-01-02 08:00:00,rB,2025-01-02T09:00:00+09:00,8',
+            'b,q1,query,1.0,2025-01-01 08:00:00,rA,2025-01-01T00:00:00Z,8',
+            'b,q1,query,5.0,2025-01-02 08:05:00,rB,2025-01-02T09:00:00+09:00,8',
+            'b,q1,query,2.0,2025-01-03 08:00:00,rC,2025-01-02T01:00:00+00:00,8',
+        ]
+        write_csv(os.path.join(self.tmp, 'results.csv'), lines)
+        series = detect.build_series(detect.load_results(self.tmp))
+        points = series[('b', 'q1')]
+        # rB's timestamp is 2025-01-02T00:00:00 UTC, before rC's 01:00 UTC
+        self.assertEqual([p['revision'] for p in points], ['rA', 'rB', 'rC'])
+        self.assertEqual(points[1]['median'], 4.0)
+
+    def test_tie_break_run_timestamp_then_revision(self):
+        ts = '2025-01-01T00:00:00+00:00'
+        lines = [
+            'b,q1,query,1.0,2025-01-02 08:00:00,zzz,%s,8' % ts,
+            'b,q1,query,1.0,2025-01-01 08:00:00,yyy,%s,8' % ts,
+            'b,q1,query,1.0,2025-01-01 08:00:00,aaa,%s,8' % ts,
+        ]
+        write_csv(os.path.join(self.tmp, 'results.csv'), lines)
+        series = detect.build_series(detect.load_results(self.tmp))
+        points = series[('b', 'q1')]
+        self.assertEqual([p['revision'] for p in points], ['aaa', 'yyy', 'zzz'])
+
+
+def _points_from_values(values):
+    start = datetime(2025, 1, 1, tzinfo=timezone.utc)
+    points = []
+    for i, v in enumerate(values):
+        dt = start + timedelta(days=i)
+        points.append({
+            'revision': 'r%03d' % i,
+            'revision_timestamp': dt.isoformat(),
+            'revision_dt': dt,
+            'run_dt': dt,
+            'median': v,
+        })
+    return points
+
+
+class TestThresholdDetector(unittest.TestCase):
+    def test_flat_noise_no_alert(self):
+        points = _points_from_values(flat_series(30))
+        self.assertIsNone(detect.threshold_detect(points, 8, 3.0, 2.0))
+
+    def test_step_regression_at_newest(self):
+        values = flat_series(30)
+        values[-1] = values[-2] * 1.30
+        points = _points_from_values(values)
+        alert = detect.threshold_detect(points, 8, 3.0, 2.0)
+        self.assertIsNotNone(alert)
+        self.assertEqual(alert['direction'], 'regression')
+        self.assertEqual(alert['revision'], 'r029')
+        self.assertAlmostEqual(alert['delta_pct'], 30.0, places=5)
+        self.assertAlmostEqual(alert['median_after_s'], values[-1])
+        self.assertAlmostEqual(alert['median_before_s'], values[-2])
+        self.assertIsNone(alert['p_value'])
+        self.assertGreater(alert['delta_pct'], alert['threshold_pct'])
+
+    def test_step_improvement_direction(self):
+        values = flat_series(30)
+        values[-1] = values[-2] * 0.70
+        points = _points_from_values(values)
+        alert = detect.threshold_detect(points, 8, 3.0, 2.0)
+        self.assertIsNotNone(alert)
+        self.assertEqual(alert['direction'], 'improvement')
+        self.assertLess(alert['delta_pct'], 0)
+        self.assertLess(alert['threshold_pct'], 0)
+
+    def test_gradual_drift_no_alert(self):
+        # +1% every night: every historical delta looks like the newest one
+        values = [1.0 * (1.01 ** i) for i in range(30)]
+        points = _points_from_values(values)
+        self.assertIsNone(detect.threshold_detect(points, 8, 3.0, 2.0))
+
+    def test_too_few_points(self):
+        values = flat_series(7)
+        values[-1] = values[-2] * 1.5
+        points = _points_from_values(values)
+        self.assertIsNone(detect.threshold_detect(points, 8, 3.0, 2.0))
+
+    def test_min_delta_floor(self):
+        # tiny but statistically outlying delta stays below the 2% floor
+        values = [1.0] * 30
+        values[-1] = 1.005
+        points = _points_from_values(values)
+        self.assertIsNone(detect.threshold_detect(points, 8, 3.0, 2.0))
+
+
+class TestEDivisive(unittest.TestCase):
+    def test_step_in_middle(self):
+        values = flat_series(40, base=1.0, noise=0.01)
+        values = values[:20] + [v * 1.30 for v in values[20:]]
+        cps = detect.e_divisive(values, 199, 0.05, random.Random(42))
+        self.assertEqual(len(cps), 1)
+        index, p = cps[0]
+        self.assertEqual(index, 20)
+        self.assertLessEqual(p, 0.05)
+        self.assertGreaterEqual(p, 1.0 / 200.0)
+
+    def test_flat_noise_no_changepoint(self):
+        values = flat_series(40, noise=0.01)
+        cps = detect.e_divisive(values, 199, 0.05, random.Random(42))
+        self.assertEqual(cps, [])
+
+    def test_constant_series(self):
+        cps = detect.e_divisive([1.0] * 40, 199, 0.05, random.Random(42))
+        self.assertEqual(cps, [])
+
+    def test_determinism(self):
+        values = flat_series(50, noise=0.02, seed=3)
+        values = values[:25] + [v * 1.2 for v in values[25:]]
+        first = detect.e_divisive(values, 199, 0.05, random.Random(42))
+        second = detect.e_divisive(values, 199, 0.05, random.Random(42))
+        self.assertEqual(first, second)
+        self.assertTrue(first)
+
+    def test_two_changepoints(self):
+        values = ([1.0] * 20) + ([1.5] * 20) + ([0.8] * 20)
+        rng = random.Random(42)
+        cps = detect.e_divisive([v * (1 + 0.005 * random.Random(i).random())
+                                 for i, v in enumerate(values)],
+                                199, 0.05, rng)
+        indexes = [i for i, _p in cps]
+        self.assertIn(20, indexes)
+        self.assertIn(40, indexes)
+
+    def test_p_value_lower_bound(self):
+        # with 199 permutations the smallest achievable p is 1/200
+        values = ([1.0] * 20) + ([2.0] * 20)
+        values = [v * (1 + 0.001 * i) for i, v in enumerate(values)]
+        cps = detect.e_divisive(values, 199, 0.05, random.Random(42))
+        self.assertTrue(cps)
+        self.assertGreaterEqual(min(p for _i, p in cps), 1.0 / 200.0)
+
+    def test_qhat_matches_naive(self):
+        # cross-check the O(n log n) implementation against a brute force one
+        rng = random.Random(9)
+        values = [rng.uniform(0.5, 2.0) for _ in range(24)]
+        items, n_unique, total_pair = detect._prep_segment(values)
+        best_q, best_t = detect._max_qhat(items, n_unique, total_pair)
+        naive_best = float('-inf')
+        naive_t = -1
+        n = len(values)
+        for t in range(1, n):
+            left = values[:t]
+            right = values[t:]
+            cross = sum(abs(x - y) for x in left for y in right)
+            lp = sum(abs(left[i] - left[j])
+                     for i in range(t) for j in range(i + 1, t))
+            rp = sum(abs(right[i] - right[j])
+                     for i in range(n - t) for j in range(i + 1, n - t))
+            m, r = t, n - t
+            term1 = 2.0 * cross / (m * r)
+            term2 = 2.0 * lp / (m * (m - 1)) if m > 1 else 0.0
+            term3 = 2.0 * rp / (r * (r - 1)) if r > 1 else 0.0
+            q = (float(m) * r / (m + r)) * (term1 - term2 - term3)
+            if q > naive_best:
+                naive_best = q
+                naive_t = t
+        self.assertAlmostEqual(best_q, naive_best, places=9)
+        self.assertEqual(best_t, naive_t)
+
+
+class TestEndToEnd(CsvTestCase):
+    def run_main(self, extra_args=None):
+        out_dir = os.path.join(self.tmp, 'out')
+        args = ['--results-dir', self.tmp, '--output-dir', out_dir,
+                '--seed', '42']
+        if extra_args:
+            args.extend(extra_args)
+        code = detect.main(args)
+        alerts = None
+        events = None
+        alerts_path = os.path.join(out_dir, 'alerts.json')
+        if os.path.exists(alerts_path):
+            with open(alerts_path, encoding='utf-8') as fh:
+                alerts = json.load(fh)
+            with open(os.path.join(out_dir, 'detected_events.json'),
+                      encoding='utf-8') as fh:
+                events = json.load(fh)
+        return code, alerts, events, out_dir
+
+    def test_step_regression_alerts_and_exit_code(self):
+        # q_bad regresses 30% at the newest revision (threshold detector);
+        # q_mid has a mid-window step (changepoint detector); q_ok is flat.
+        bad = flat_series(40, base=0.5, noise=0.01, seed=11)
+        bad[-1] = bad[-2] * 1.3
+        mid = flat_series(40, base=2.0, noise=0.01, seed=12)
+        mid = mid[:25] + [v * 1.3 for v in mid[25:]]
+        ok = flat_series(40, base=1.0, noise=0.01, seed=13)
+        write_csv(os.path.join(self.tmp, 'results.csv'),
+                  synth_csv_lines({'q_bad': bad, 'q_mid': mid, 'q_ok': ok}))
+        code, alerts, events, out_dir = self.run_main()
+        self.assertEqual(code, 2)
+        kinds = set((a['query_name'], a['kind'], a['direction'])
+                    for a in alerts['alerts'])
+        self.assertIn(('q_bad', 'threshold', 'regression'), kinds)
+        self.assertIn(('q_mid', 'changepoint', 'regression'), kinds)
+        self.assertFalse(any(a['query_name'] == 'q_ok'
+                             for a in alerts['alerts']))
+        threshold_alert = next(a for a in alerts['alerts']
+                               if a['kind'] == 'threshold'
+                               and a['query_name'] == 'q_bad')
+        self.assertEqual(threshold_alert['revision'], 'r039')
+        changepoint_alert = next(a for a in alerts['alerts']
+                                 if a['kind'] == 'changepoint'
+                                 and a['query_name'] == 'q_mid')
+        self.assertEqual(changepoint_alert['revision'], 'r025')
+        self.assertIsNotNone(changepoint_alert['p_value'])
+        self.assertIsNone(changepoint_alert['threshold_pct'])
+        # alerts.json shape
+        self.assertEqual(set(alerts.keys()),
+                         {'generated_at', 'results_dir', 'window', 'alerts'})
+        for a in alerts['alerts']:
+            self.assertEqual(sorted(a.keys()), sorted(detect.ALERT_FIELDS))
+        # detected_events.json: same shape as events.json, changepoints only
+        self.assertTrue(any(e['revision'] == 'r025' for e in events))
+        for e in events:
+            self.assertEqual(set(e.keys()), {'revision', 'label'})
+        self.assertTrue(os.path.exists(os.path.join(out_dir, 'alerts.md')))
+        with open(os.path.join(out_dir, 'alerts.md'), encoding='utf-8') as fh:
+            md = fh.read()
+        self.assertIn('q_bad', md)
+        self.assertIn('Regressions', md)
+
+    def test_multiple_regimes_use_adjacent_segments(self):
+        # 2.0 -> 1.0 -> 1.2: the +20% regression entering the third regime
+        # must be measured against the adjacent 1.0 regime; medians over the
+        # whole prefix/suffix would call it an improvement (-20%) instead
+        values = [2.0] * 20 + [1.0] * 20 + [1.2] * 20
+        write_csv(os.path.join(self.tmp, 'results.csv'),
+                  synth_csv_lines({'q1': values}))
+        code, alerts, _events, _out = self.run_main()
+        self.assertEqual(code, 2)
+        regression = next(a for a in alerts['alerts']
+                          if a['kind'] == 'changepoint'
+                          and a['revision'] == 'r040')
+        self.assertEqual(regression['direction'], 'regression')
+        self.assertAlmostEqual(regression['delta_pct'], 20.0, delta=1.0)
+        self.assertAlmostEqual(regression['median_before_s'], 1.0, delta=0.05)
+        self.assertAlmostEqual(regression['median_after_s'], 1.2, delta=0.05)
+        improvement = next(a for a in alerts['alerts']
+                           if a['kind'] == 'changepoint'
+                           and a['revision'] == 'r020')
+        self.assertEqual(improvement['direction'], 'improvement')
+        self.assertAlmostEqual(improvement['delta_pct'], -50.0, delta=1.0)
+
+    def test_clean_run_exits_zero(self):
+        write_csv(os.path.join(self.tmp, 'results.csv'),
+                  synth_csv_lines({'q1': flat_series(40, noise=0.01)}))
+        code, alerts, events, _out = self.run_main()
+        self.assertEqual(code, 0)
+        self.assertEqual(alerts['alerts'], [])
+        self.assertEqual(events, [])
+
+    def test_improvements_do_not_fail(self):
+        values = flat_series(40, noise=0.01)
+        values = values[:25] + [v * 0.6 for v in values[25:]]
+        write_csv(os.path.join(self.tmp, 'results.csv'),
+                  synth_csv_lines({'q1': values}))
+        code, alerts, _events, _out = self.run_main()
+        self.assertEqual(code, 0)
+        self.assertTrue(alerts['alerts'])
+        self.assertTrue(all(a['direction'] == 'improvement'
+                            for a in alerts['alerts']))
+
+    def test_no_edivisive_flag(self):
+        values = flat_series(40, noise=0.01)
+        values = values[:25] + [v * 1.5 for v in values[25:]]
+        write_csv(os.path.join(self.tmp, 'results.csv'),
+                  synth_csv_lines({'q1': values}))
+        code, alerts, events, _out = self.run_main(['--no-edivisive'])
+        self.assertEqual(code, 0)
+        self.assertFalse(any(a['kind'] == 'changepoint'
+                             for a in alerts['alerts']))
+        self.assertEqual(events, [])
+
+    def test_few_revisions_degrade_gracefully(self):
+        # like the live results/ dir: too few points for window statistics
+        write_csv(os.path.join(self.tmp, 'results.csv'),
+                  synth_csv_lines({'q1': [1.0, 1.1, 0.9, 1.05, 2.0, 1.0]}))
+        code, alerts, _events, _out = self.run_main()
+        self.assertEqual(code, 0)
+        self.assertEqual(alerts['alerts'], [])
+
+    def test_missing_results_dir_exits_one(self):
+        code = detect.main(['--results-dir',
+                            os.path.join(self.tmp, 'nope'),
+                            '--output-dir', os.path.join(self.tmp, 'out')])
+        self.assertEqual(code, 1)
+
+    def test_window_trims_series(self):
+        # a step 30 revisions ago is invisible with --window 10
+        values = flat_series(60, noise=0.005)
+        values = values[:30] + [v * 1.4 for v in values[30:]]
+        write_csv(os.path.join(self.tmp, 'results.csv'),
+                  synth_csv_lines({'q1': values}))
+        code, alerts, _events, _out = self.run_main(['--window', '10'])
+        self.assertEqual(code, 0)
+        self.assertEqual(alerts['alerts'], [])
+
+
+class TestRealData(unittest.TestCase):
+    """Fixture carved from results_metal/results.csv around revision
+    2d7ae0926 ('default collect_statistics to true'): q0 and q6 visibly
+    changed (~-89%), q28 did not."""
+
+    EVENT_REV = '2d7ae0926'
+
+    @classmethod
+    def setUpClass(cls):
+        fixture = os.path.join(FIXTURES_DIR, 'metal_subset.csv')
+        assert os.path.exists(fixture), 'missing fixture %s' % fixture
+        cls.rows = detect.load_results(FIXTURES_DIR)
+        cls.alerts = detect.detect(
+            cls.rows, window=0, min_points=8, iqr_multiplier=3.0,
+            min_delta_pct=2.0, run_edivisive=True, permutations=199,
+            pvalue=0.05, seed=42)
+        cls.series = detect.build_series(cls.rows)
+
+    def _revisions_near_event(self, query):
+        points = self.series[('clickbench_partitioned', query)]
+        revisions = [p['revision'] for p in points]
+        idx = revisions.index(self.EVENT_REV)
+        return set(revisions[max(0, idx - 1):idx + 2])
+
+    def test_changepoint_flagged_at_event_for_affected_query(self):
+        flagged = False
+        for query in ('q0', 'q6'):
+            near = self._revisions_near_event(query)
+            for alert in self.alerts:
+                if (alert['query_name'] == query
+                        and alert['kind'] == 'changepoint'
+                        and alert['revision'] in near):
+                    flagged = True
+                    self.assertLessEqual(alert['p_value'], 0.05)
+        self.assertTrue(flagged,
+                        'no changepoint at/adjacent to %s for q0/q6'
+                        % self.EVENT_REV)
+
+    def test_control_query_has_no_changepoint_at_event(self):
+        near = self._revisions_near_event('q28')
+        offenders = [a for a in self.alerts
+                     if a['query_name'] == 'q28'
+                     and a['kind'] == 'changepoint'
+                     and a['revision'] in near]
+        self.assertEqual(offenders, [])
+
+    def test_deterministic_on_real_data(self):
+        again = detect.detect(
+            self.rows, window=0, min_points=8, iqr_multiplier=3.0,
+            min_delta_pct=2.0, run_edivisive=True, permutations=199,
+            pvalue=0.05, seed=42)
+        self.assertEqual(again, self.alerts)
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/nightly/tests/test_nightly.py b/nightly/tests/test_nightly.py
new file mode 100644
index 0000000..799f8a0
--- /dev/null
+++ b/nightly/tests/test_nightly.py
@@ -0,0 +1,915 @@
+#!/usr/bin/env python3
+"""Tests for nightly/nightly.py (the orchestrator).
+
+Run from the repo root with:
+    python -m unittest discover -s nightly/tests -v
+or directly:
+    python nightly/tests/test_nightly.py
+"""
+
+import csv
+import importlib.util
+import io
+import json
+import os
+import shutil
+import subprocess
+import sys
+import tempfile
+import time
+import unittest
+
+TESTS_DIR = os.path.dirname(os.path.abspath(__file__))
+NIGHTLY_DIR = os.path.dirname(TESTS_DIR)
+REPO_ROOT = os.path.dirname(NIGHTLY_DIR)
+
+RESULTS_HEADER = (
+    "benchmark_name,query_name,query_type,execution_time,run_timestamp,"
+    "git_revision,git_revision_timestamp,num_cores\n"
+)
+
+
+def _load_nightly_module():
+    """Load nightly/nightly.py under a unique name (avoids clashing with the
+    nightly/ package directory on sys.path)."""
+    spec = importlib.util.spec_from_file_location(
+        "nightly_orchestrator", os.path.join(NIGHTLY_DIR, "nightly.py")
+    )
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+nightly = _load_nightly_module()
+
+
+class TempRepoTestCase(unittest.TestCase):
+    """Base: a throwaway 'repo root' directory; restores cwd afterwards."""
+
+    def setUp(self):
+        self._old_cwd = os.getcwd()
+        self.root = tempfile.mkdtemp(prefix="nightly-test-")
+        os.makedirs(os.path.join(self.root, "nightly"))
+
+    def tearDown(self):
+        os.chdir(self._old_cwd)
+        shutil.rmtree(self.root, ignore_errors=True)
+
+    # -- helpers ------------------------------------------------------------
+
+    def write_stub(self, name, body):
+        """Write a small python stub script into the temp root."""
+        path = os.path.join(self.root, name)
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write(body)
+        return path
+
+    def ok_stub(self, name="ok_stub.py"):
+        return self.write_stub(name, "import sys\nprint('stub ok')\nsys.exit(0)\n")
+
+    def fail_stub(self, name="fail_stub.py"):
+        return self.write_stub(name, "import sys\nprint('stub fail')\nsys.exit(1)\n")
+
+    def bench_stub(self, name="bench_stub.py"):
+        # Appends one row with a new git_revision to results/results.csv.
+        return self.write_stub(name, (
+            "import os\n"
+            "os.makedirs('results', exist_ok=True)\n"
+            "path = os.path.join('results', 'results.csv')\n"
+            "new = not os.path.exists(path)\n"
+            "with open(path, 'a') as fh:\n"
+            "    if new:\n"
+            "        fh.write(%r)\n"
+            "    fh.write('clickbench_partitioned,q0,query,0.05,"
+            "2026-07-14 00:00:00,abc1234,2026-07-13T00:00:00+00:00,8\\n')\n"
+            "print('bench stub done')\n"
+        ) % RESULTS_HEADER)
+
+    def detect_stub(self, name="detect_stub.py", n_alerts=2, exit_code=2):
+        return self.write_stub(name, (
+            "import json, os, sys\n"
+            "os.makedirs(os.path.join('nightly', 'out'), exist_ok=True)\n"
+            "alerts = {'alerts': [{'query_name': 'q%%d' %% i}"
+            " for i in range(%d)]}\n"
+            "with open(os.path.join('nightly', 'out', 'alerts.json'), 'w') as fh:\n"
+            "    json.dump(alerts, fh)\n"
+            "print('detect stub done')\n"
+            "sys.exit(%d)\n"
+        ) % (n_alerts, exit_code))
+
+    def write_config(self, overrides):
+        path = os.path.join(self.root, "test_config.json")
+        with open(path, "w", encoding="utf-8") as fh:
+            json.dump(overrides, fh)
+        return path
+
+    def seed_results(self, revisions=("oldrev",)):
+        results_dir = os.path.join(self.root, "results")
+        os.makedirs(results_dir, exist_ok=True)
+        with open(os.path.join(results_dir, "results.csv"), "w", encoding="utf-8") as fh:
+            fh.write(RESULTS_HEADER)
+            for rev in revisions:
+                fh.write(
+                    "clickbench_partitioned,q0,query,0.03,"
+                    "2026-03-30 13:52:55,%s,2025-09-13T16:17:34+08:00,8\n" % rev
+                )
+
+    def read_status(self):
+        path = os.path.join(self.root, "nightly", "out", "status.json")
+        self.assertTrue(os.path.exists(path), "status.json not written")
+        with open(path, "r", encoding="utf-8") as fh:
+            return json.load(fh)
+
+    def log_text(self):
+        logs_dir = os.path.join(self.root, "nightly", "logs")
+        texts = []
+        for name in sorted(os.listdir(logs_dir)):
+            with open(os.path.join(logs_dir, name), "r", encoding="utf-8") as fh:
+                texts.append(fh.read())
+        return "\n".join(texts)
+
+    def init_git_repo(self, branch="main"):
+        """Turn the temp root into a git repo with one commit on `branch`."""
+        subprocess.run(["git", "init", "-q"], cwd=self.root, check=True)
+        subprocess.run(["git", "config", "user.email", "t@example.com"],
+                       cwd=self.root, check=True)
+        subprocess.run(["git", "config", "user.name", "t"],
+                       cwd=self.root, check=True)
+        subprocess.run(["git", "commit", "--allow-empty", "-m", "init", "-q"],
+                       cwd=self.root, check=True)
+        subprocess.run(["git", "branch", "-M", branch], cwd=self.root, check=True)
+
+    def run_main(self, extra_argv=(), config_overrides=None):
+        if config_overrides is None:
+            config_overrides = {}
+        config_path = self.write_config(config_overrides)
+        argv = ["--config", config_path] + list(extra_argv)
+        return nightly.main(argv, repo_root=self.root)
+
+
+# ---------------------------------------------------------------------------
+# Config merging
+# ---------------------------------------------------------------------------
+
+class TestConfigMerge(TempRepoTestCase):
+
+    def test_defaults_when_file_has_partial_keys(self):
+        path = self.write_config({"days": 9, "detect": {"window": 10},
+                                  "publish": {"enabled": True}})
+        logger = nightly.Logger(None)
+        config = nightly.load_config(path, explicit=True, logger=logger)
+        # file overrides defaults
+        self.assertEqual(config["days"], 9)
+        self.assertEqual(config["detect"]["window"], 10)
+        self.assertTrue(config["publish"]["enabled"])
+        # untouched defaults survive (deep merge, not replace)
+        self.assertEqual(config["detect"]["pvalue"], 0.05)
+        self.assertEqual(config["detect"]["permutations"], 199)
+        self.assertEqual(config["publish"]["remote"], "origin")
+        self.assertEqual(config["publish"]["branch"], "main")
+        self.assertEqual(config["num_builds"], 2)
+
+    def test_cli_overrides_config_file(self):
+        path = self.write_config({"days": 9})
+        logger = nightly.Logger(None)
+        config = nightly.load_config(path, explicit=True, logger=logger)
+        args = nightly.parse_args(["--days", "3"])
+        config = nightly.apply_cli_overrides(config, args)
+        self.assertEqual(config["days"], 3)
+
+    def test_cli_none_keeps_config_value(self):
+        path = self.write_config({"days": 9})
+        logger = nightly.Logger(None)
+        config = nightly.load_config(path, explicit=True, logger=logger)
+        args = nightly.parse_args([])
+        config = nightly.apply_cli_overrides(config, args)
+        self.assertEqual(config["days"], 9)
+
+    def test_explicit_missing_config_is_error(self):
+        logger = nightly.Logger(None)
+        config = nightly.load_config(
+            os.path.join(self.root, "nope.json"), explicit=True, logger=logger
+        )
+        self.assertIsNone(config)
+
+    def test_missing_default_config_falls_back_to_defaults(self):
+        logger = nightly.Logger(None)
+        config = nightly.load_config(
+            os.path.join(self.root, "nightly", "config.json"),
+            explicit=False, logger=logger,
+        )
+        self.assertEqual(config["days"], nightly.DEFAULT_CONFIG["days"])
+
+    def test_repo_config_json_matches_documented_defaults(self):
+        # The shipped nightly/config.json must be valid JSON and agree with
+        # the built-in defaults for the documented keys.
+        with open(os.path.join(NIGHTLY_DIR, "config.json"), "r", encoding="utf-8") as fh:
+            shipped = json.load(fh)
+        for key, value in shipped.items():
+            self.assertEqual(value, nightly.DEFAULT_CONFIG[key],
+                             "config.json key %r disagrees with defaults" % key)
+        self.assertFalse(shipped["publish"]["enabled"])
+
+
+# ---------------------------------------------------------------------------
+# Command construction (pure function)
+# ---------------------------------------------------------------------------
+
+class TestBuildCommands(unittest.TestCase):
+
+    def setUp(self):
+        self.config = nightly.deep_merge(nightly.DEFAULT_CONFIG, {})
+
+    def test_build_command(self):
+        cmds = nightly.build_commands(self.config)
+        self.assertEqual(cmds["build"], [[
+            sys.executable, "ensure_datafusion_cli.py",
+            "--days", "2", "--num-builds", "2",
+            "--datafusion-dir", "datafusion",
+        ]])
+
+    def test_bench_command(self):
+        cmds = nightly.build_commands(self.config)
+        self.assertEqual(cmds["bench"], [[
+            sys.executable, "benchmark.py",
+            "--output-dir", "results", "--benchmarks", "clickbench",
+        ]])
+
+    def test_detect_command(self):
+        cmds = nightly.build_commands(self.config)
+        self.assertEqual(cmds["detect"], [[
+            sys.executable, "nightly/detect.py",
+            "--results-dir", "results",
+            "--output-dir", "nightly/out",
+            "--window", "60",
+            "--min-delta-pct", "2.0",
+            "--iqr-multiplier", "3.0",
+            "--pvalue", "0.05",
+            "--permutations", "199",
+        ]])
+
+    def test_report_command(self):
+        cmds = nightly.build_commands(self.config)
+        self.assertEqual(cmds["report"], [[
+            sys.executable, "report.py", "--results-dir", "results",
+        ]])
+
+    def test_publish_commands(self):
+        cmds = nightly.build_commands(self.config)
+        publish = cmds["publish"]
+        self.assertEqual(publish[0], ["git", "add", "--",
+                                      "results", "docs", "nightly/out"])
+        self.assertEqual(publish[1][:3], ["git", "commit", "-m"])
+        self.assertEqual(publish[2], ["git", "pull", "--rebase", "origin", "main"])
+        self.assertEqual(publish[3], ["git", "push", "origin", "main"])
+
+    def test_config_values_flow_into_commands(self):
+        config = nightly.deep_merge(self.config, {
+            "days": 5, "num_builds": 3, "results_dir": "other_results",
+            "detect": {"window": 30},
+            "publish": {"remote": "upstream", "branch": "gh-pages"},
+        })
+        cmds = nightly.build_commands(config)
+        self.assertIn("--days", cmds["build"][0])
+        self.assertEqual(cmds["build"][0][cmds["build"][0].index("--days") + 1], "5")
+        self.assertIn("other_results", cmds["bench"][0])
+        detect = cmds["detect"][0]
+        self.assertEqual(detect[detect.index("--window") + 1], "30")
+        self.assertEqual(cmds["publish"][3], ["git", "push", "upstream", "gh-pages"])
+
+    def test_python_scripts_use_sys_executable(self):
+        cmds = nightly.build_commands(self.config)
+        for step in ("build", "bench", "detect", "report"):
+            self.assertEqual(cmds[step][0][0], sys.executable,
+                             "%s must use sys.executable" % step)
+
+
+# ---------------------------------------------------------------------------
+# Lock
+# ---------------------------------------------------------------------------
+
+class TestLock(TempRepoTestCase):
+
+    def lock_path(self):
+        return os.path.join(self.root, "nightly", ".lock")
+
+    def test_acquire_and_release(self):
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        self.assertTrue(nightly.acquire_lock(path, logger))
+        self.assertTrue(os.path.exists(path))
+        with open(path, "r", encoding="utf-8") as fh:
+            content = fh.read()
+        self.assertIn("pid=%d" % os.getpid(), content)
+        self.assertIn("started_at=", content)
+        nightly.release_lock(path)
+        self.assertFalse(os.path.exists(path))
+
+    def test_second_acquire_fails_while_held(self):
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        self.assertTrue(nightly.acquire_lock(path, logger))
+        self.assertFalse(nightly.acquire_lock(path, logger))
+        self.assertTrue(os.path.exists(path))
+        nightly.release_lock(path)
+
+    def test_stale_lock_is_broken(self):
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        stale_epoch = time.time() - 25 * 3600
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write("pid=1\nstarted_at=old\nstarted_epoch=%.3f\n" % stale_epoch)
+        self.assertTrue(nightly.acquire_lock(path, logger))
+        with open(path, "r", encoding="utf-8") as fh:
+            content = fh.read()
+        self.assertIn("pid=%d" % os.getpid(), content)
+        nightly.release_lock(path)
+
+    def test_stale_lock_by_mtime_when_content_unparseable(self):
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write("garbage\n")
+        old = time.time() - 25 * 3600
+        os.utime(path, (old, old))
+        self.assertTrue(nightly.acquire_lock(path, logger))
+        nightly.release_lock(path)
+
+    def test_release_is_idempotent(self):
+        nightly.release_lock(self.lock_path())  # no lock: must not raise
+
+    def test_release_leaves_foreign_lock_alone(self):
+        # Simulates another process breaking our (stale) lock and taking it
+        # over: release must notice the content is no longer ours and NOT
+        # delete the foreign lock.
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        self.assertTrue(nightly.acquire_lock(path, logger))
+        foreign = "pid=424242\nstarted_at=x\nstarted_epoch=%.3f\n" % time.time()
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write(foreign)
+        nightly.release_lock(path)
+        self.assertTrue(os.path.exists(path), "foreign lock must survive release")
+        with open(path, "r", encoding="utf-8") as fh:
+            self.assertEqual(fh.read(), foreign)
+        os.remove(path)
+
+    def test_release_without_acquire_leaves_lock_alone(self):
+        path = self.lock_path()
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write("pid=1\nstarted_at=x\nstarted_epoch=%.3f\n" % time.time())
+        nightly.release_lock(path)  # we never acquired it
+        self.assertTrue(os.path.exists(path))
+
+    def test_break_stale_lock_removes_on_content_match(self):
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        stale = "pid=1\nstarted_at=old\nstarted_epoch=1.0\n"
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write(stale)
+        self.assertTrue(nightly._break_stale_lock(path, stale, logger))
+        self.assertFalse(os.path.exists(path))
+        self.assertEqual(self.leftover_lock_temps(), [])
+
+    def test_break_stale_lock_content_mismatch_restores_and_backs_off(self):
+        # The lock changed hands between the age check and the rename: the
+        # breaker must put the fresh lock back and report failure.
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        fresh = "pid=7\nstarted_at=now\nstarted_epoch=%.3f\n" % time.time()
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write(fresh)
+        inspected = "pid=1\nstarted_at=old\nstarted_epoch=1.0\n"
+        self.assertFalse(nightly._break_stale_lock(path, inspected, logger))
+        self.assertTrue(os.path.exists(path))
+        with open(path, "r", encoding="utf-8") as fh:
+            self.assertEqual(fh.read(), fresh)
+        self.assertEqual(self.leftover_lock_temps(), [])
+
+    def test_break_stale_lock_lost_race_backs_off(self):
+        # The lock is already gone (another breaker's os.replace won):
+        # FileNotFoundError -> back off without creating anything.
+        logger = nightly.Logger(None)
+        path = self.lock_path()
+        self.assertFalse(nightly._break_stale_lock(path, "whatever", logger))
+        self.assertFalse(os.path.exists(path))
+        self.assertEqual(self.leftover_lock_temps(), [])
+
+    def leftover_lock_temps(self):
+        lock_dir = os.path.dirname(self.lock_path())
+        return [n for n in os.listdir(lock_dir)
+                if n.startswith(".lock") and n != ".lock"]
+
+
+# ---------------------------------------------------------------------------
+# Dependency map (pure function)
+# ---------------------------------------------------------------------------
+
+class TestDependencyMap(unittest.TestCase):
+
+    def test_bench_skipped_when_build_failed(self):
+        reason = nightly.dependency_block("bench", {"build": "failed"}, {})
+        self.assertIsNotNone(reason)
+
+    def test_bench_runs_when_build_user_skipped(self):
+        reason = nightly.dependency_block(
+            "bench", {"build": "skipped"}, {"build": "user"})
+        self.assertIsNone(reason)
+
+    def test_bench_skipped_when_build_dependency_skipped(self):
+        reason = nightly.dependency_block(
+            "bench", {"build": "skipped"}, {"build": "dependency"})
+        self.assertIsNotNone(reason)
+
+    def test_detect_soft_runs_when_bench_skipped_for_any_reason(self):
+        for kind in ("user", "dependency"):
+            reason = nightly.dependency_block(
+                "detect", {"bench": "skipped"}, {"bench": kind})
+            self.assertIsNone(reason, "detect blocked for kind=%s" % kind)
+
+    def test_detect_and_report_skipped_when_bench_failed(self):
+        for step in ("detect", "report"):
+            reason = nightly.dependency_block(step, {"bench": "failed"}, {})
+            self.assertIsNotNone(reason)
+
+    def test_report_soft_runs_when_bench_skipped(self):
+        reason = nightly.dependency_block(
+            "report", {"bench": "skipped"}, {"bench": "dependency"})
+        self.assertIsNone(reason)
+
+    def test_publish_hard_on_report(self):
+        self.assertIsNotNone(
+            nightly.dependency_block("publish", {"report": "failed"}, {}))
+        self.assertIsNotNone(nightly.dependency_block(
+            "publish", {"report": "skipped"}, {"report": "dependency"}))
+        self.assertIsNone(nightly.dependency_block(
+            "publish", {"report": "skipped"}, {"report": "user"}))
+        self.assertIsNone(
+            nightly.dependency_block("publish", {"report": "ok"}, {}))
+
+    def test_steps_without_deps_never_blocked(self):
+        self.assertIsNone(nightly.dependency_block("build", {}, {}))
+        self.assertIsNone(nightly.dependency_block("check_env", {}, {}))
+
+
+# ---------------------------------------------------------------------------
+# Helpers: revisions / alerts / prune
+# ---------------------------------------------------------------------------
+
+class TestHelpers(TempRepoTestCase):
+
+    def test_read_revisions_with_header(self):
+        self.seed_results(revisions=("aaa", "bbb", "aaa"))
+        revs = nightly.read_revisions(
+            os.path.join(self.root, "results", "results.csv"))
+        self.assertEqual(revs, {"aaa", "bbb"})
+
+    def test_read_revisions_headerless(self):
+        results_dir = os.path.join(self.root, "results")
+        os.makedirs(results_dir)
+        path = os.path.join(results_dir, "results.csv")
+        with open(path, "w", encoding="utf-8") as fh:
+            fh.write("clickbench_partitioned,q0,query,0.03,"
+                     "2026-03-30 13:52:55,noheader1,2025-09-13T16:17:34+08:00,8\n")
+            fh.write("clickbench_partitioned,q1,query,0.04,"
+                     "2026-03-30 13:52:56,noheader2,2025-09-13T16:17:34+08:00,8\n")
+        self.assertEqual(nightly.read_revisions(path), {"noheader1", "noheader2"})
+
+    def test_read_revisions_missing_file(self):
+        self.assertEqual(
+            nightly.read_revisions(os.path.join(self.root, "results", "results.csv")),
+            set())
+
+    def test_read_revisions_tolerates_csv_error(self):
+        # A corrupted row (NUL byte, and an oversized field for pythons
+        # where NUL no longer raises) must not crash the read; revisions
+        # collected before the bad row are returned.
+        results_dir = os.path.join(self.root, "results")
+        os.makedirs(results_dir)
+        path = os.path.join(results_dir, "results.csv")
+        big = "x" * (csv.field_size_limit() + 1)
+        with open(path, "w", newline="", encoding="utf-8") as fh:
+            fh.write(RESULTS_HEADER)
+            fh.write("clickbench_partitioned,q0,query,0.03,"
+                     "2026-03-30 13:52:55,goodrev,2025-09-13T16:17:34+08:00,8\n")
+            fh.write("bad\x00%s,q1,query,0.03,t,badrev,ts,8\n" % big)
+        revs = nightly.read_revisions(path, nightly.Logger(None))
+        self.assertEqual(revs, {"goodrev"})
+
+    def test_count_alerts_without_direction_counts_as_regressions(self):
+        out_dir = os.path.join(self.root, "nightly", "out")
+        os.makedirs(out_dir)
+        path = os.path.join(out_dir, "alerts.json")
+        with open(path, "w", encoding="utf-8") as fh:
+            json.dump({"alerts": [{"q": 1}, {"q": 2}, {"q": 3}]}, fh)
+        logger = nightly.Logger(None)
+        self.assertEqual(nightly.count_alerts(path, logger), (3, 0))
+        self.assertEqual(
+            nightly.count_alerts(os.path.join(out_dir, "missing.json"), logger),
+            (0, 0))
+
+    def test_count_alerts_splits_regressions_and_improvements(self):
+        out_dir = os.path.join(self.root, "nightly", "out")
+        os.makedirs(out_dir)
+        path = os.path.join(out_dir, "alerts.json")
+        with open(path, "w", encoding="utf-8") as fh:
+            json.dump({"alerts": [
+                {"q": 1, "direction": "regression"},
+                {"q": 2, "direction": "improvement"},
+                {"q": 3, "direction": "improvement"},
+                {"q": 4},  # legacy entry without direction -> regression
+            ]}, fh)
+        logger = nightly.Logger(None)
+        self.assertEqual(nightly.count_alerts(path, logger), (2, 2))
+
+    def test_prune_builds_keeps_newest_k(self):
+        builds = os.path.join(self.root, "builds")
+        os.makedirs(builds)
+        now = time.time()
+        # no colons in the timestamp part: invalid in Windows filenames
+        names = ["datafusion-cli@sha%d@2025-01-0%dT000000" % (i, i + 1)
+                 for i in range(5)]
+        for i, name in enumerate(names):
+            path = os.path.join(builds, name)
+            with open(path, "w") as fh:
+                fh.write("x")
+            stamp = now - (len(names) - i) * 60  # names[4] is newest
+            os.utime(path, (stamp, stamp))
+        os.chdir(self.root)
+        logger = nightly.Logger(None)
+        nightly.prune_builds(2, logger)
+        remaining = sorted(os.listdir(builds))
+        self.assertEqual(remaining, sorted(names[3:]))
+
+    def test_prune_builds_zero_disables(self):
+        builds = os.path.join(self.root, "builds")
+        os.makedirs(builds)
+        for i in range(3):
+            with open(os.path.join(builds, "datafusion-cli@s%d@t" % i), "w") as fh:
+                fh.write("x")
+        os.chdir(self.root)
+        nightly.prune_builds(0, nightly.Logger(None))
+        self.assertEqual(len(os.listdir(builds)), 3)
+
+    def test_publish_commit_message_format(self):
+        msg = nightly.publish_commit_message(3, 1)
+        self.assertRegex(msg, r"^nightly: \d{4}-\d{2}-\d{2} "
+                              r"\(3 new revision\(s\), 1 alert\(s\)\)$")
+
+
+# ---------------------------------------------------------------------------
+# Pipeline end-to-end (stubbed steps in a temp repo root)
+# ---------------------------------------------------------------------------
+
+class TestPipeline(TempRepoTestCase):
+
+    def stub_scripts(self, build=None, bench=None, detect=None, report=None):
+        return {
+            "build": build or self.ok_stub("build_stub.py"),
+            "bench": bench or self.bench_stub(),
+            "detect": detect or self.detect_stub(),
+            "report": report or self.ok_stub("report_stub.py"),
+        }
+
+    def test_all_ok_run_status_json_shape(self):
+        self.seed_results(revisions=("oldrev",))
+        rc = self.run_main(config_overrides={"scripts": self.stub_scripts()})
+        self.assertEqual(rc, 0)
+        status = self.read_status()
+        self.assertEqual(
+            set(status.keys()),
+            {"started_at", "finished_at", "ok", "steps", "alerts",
+             "improvements", "new_revisions", "new_builds"})
+        self.assertTrue(status["ok"])
+        self.assertEqual(status["alerts"], 2)        # detect stub: 2 alerts, exit 2
+        self.assertEqual(status["improvements"], 0)
+        self.assertEqual(status["new_revisions"], 1)  # bench stub adds abc1234
+        self.assertEqual(status["new_builds"], 0)     # build stub builds nothing
+        self.assertEqual(
+            set(status["steps"].keys()),
+            {"check_env", "build", "bench", "detect", "report", "publish"})
+        for name, info in status["steps"].items():
+            self.assertEqual(set(info.keys()), {"state", "seconds"},
+                             "step %s shape" % name)
+            self.assertIn(info["state"], ("ok", "failed", "skipped"))
+            self.assertIsInstance(info["seconds"], (int, float))
+        self.assertEqual(status["steps"]["check_env"]["state"], "skipped")
+        self.assertEqual(status["steps"]["build"]["state"], "ok")
+        self.assertEqual(status["steps"]["bench"]["state"], "ok")
+        self.assertEqual(status["steps"]["detect"]["state"], "ok")
+        self.assertEqual(status["steps"]["report"]["state"], "ok")
+        self.assertEqual(status["steps"]["publish"]["state"], "skipped")
+        # lock released, log written
+        self.assertFalse(os.path.exists(os.path.join(self.root, "nightly", ".lock")))
+        logs = os.listdir(os.path.join(self.root, "nightly", "logs"))
+        self.assertTrue(any(f.startswith("nightly-") and f.endswith(".log")
+                            for f in logs))
+
+    def test_build_failure_skips_bench_but_report_still_attempted(self):
+        # build points at a nonexistent script -> python exits non-zero.
+        scripts = self.stub_scripts(
+            build=os.path.join(self.root, "no_such_script.py"))
+        rc = self.run_main(config_overrides={"scripts": scripts})
+        self.assertEqual(rc, 1)
+        status = self.read_status()
+        self.assertFalse(status["ok"])
+        self.assertEqual(status["steps"]["build"]["state"], "failed")
+        self.assertEqual(status["steps"]["bench"]["state"], "skipped")
+        # soft deps: bench merely skipped -> detect and report still run
+        self.assertEqual(status["steps"]["detect"]["state"], "ok")
+        self.assertEqual(status["steps"]["report"]["state"], "ok")
+        self.assertEqual(status["new_revisions"], 0)
+
+    def test_bench_failure_cascades_to_publish(self):
+        scripts = self.stub_scripts(bench=self.fail_stub("bench_fail.py"))
+        rc = self.run_main(config_overrides={
+            "scripts": scripts,
+            "publish": {"enabled": True},
+        })
+        self.assertEqual(rc, 1)
+        status = self.read_status()
+        self.assertFalse(status["ok"])
+        self.assertEqual(status["steps"]["bench"]["state"], "failed")
+        self.assertEqual(status["steps"]["detect"]["state"], "skipped")
+        self.assertEqual(status["steps"]["report"]["state"], "skipped")
+        # publish is enabled but hard-depends on report, which was skipped
+        # due to an upstream failure -> publish must not run.
+        self.assertEqual(status["steps"]["publish"]["state"], "skipped")
+
+    def test_skip_flags_mark_steps_skipped(self):
+        self.seed_results()
+        rc = self.run_main(
+            extra_argv=["--skip-build", "--skip-bench", "--skip-detect",
+                        "--skip-report"],
+            config_overrides={"scripts": self.stub_scripts()})
+        self.assertEqual(rc, 0)
+        status = self.read_status()
+        self.assertTrue(status["ok"])
+        for step in ("build", "bench", "detect", "report"):
+            self.assertEqual(status["steps"][step]["state"], "skipped")
+        self.assertEqual(status["alerts"], 0)
+        self.assertEqual(status["new_revisions"], 0)
+
+    def test_skip_build_still_runs_bench(self):
+        self.seed_results()
+        rc = self.run_main(extra_argv=["--skip-build"],
+                           config_overrides={"scripts": self.stub_scripts()})
+        self.assertEqual(rc, 0)
+        status = self.read_status()
+        self.assertEqual(status["steps"]["build"]["state"], "skipped")
+        self.assertEqual(status["steps"]["bench"]["state"], "ok")
+
+    def test_detect_exit_zero_is_ok_without_alert_flag(self):
+        scripts = self.stub_scripts(
+            detect=self.detect_stub("detect_ok.py", n_alerts=0, exit_code=0))
+        rc = self.run_main(config_overrides={"scripts": scripts})
+        self.assertEqual(rc, 0)
+        status = self.read_status()
+        self.assertEqual(status["steps"]["detect"]["state"], "ok")
+        self.assertEqual(status["alerts"], 0)
+
+    def test_detect_exit_one_is_failure(self):
+        scripts = self.stub_scripts(detect=self.fail_stub("detect_fail.py"))
+        rc = self.run_main(config_overrides={"scripts": scripts})
+        self.assertEqual(rc, 1)
+        status = self.read_status()
+        self.assertEqual(status["steps"]["detect"]["state"], "failed")
+        # report is independent of detect: still runs
+        self.assertEqual(status["steps"]["report"]["state"], "ok")
+
+    def test_bench_failed_when_new_builds_but_no_new_revisions(self):
+        # Silent green night: build produces a new binary, bench exits 0 but
+        # adds no revisions -> the bench step must be marked failed.
+        self.seed_results()
+        build = self.write_stub("build_makes_binary.py", (
+            "import os\n"
+            "os.makedirs('builds', exist_ok=True)\n"
+            "with open(os.path.join('builds', 'datafusion-cli@fresh@t0'), 'w') as fh:\n"
+            "    fh.write('x')\n"
+            "print('build stub made a binary')\n"
+        ))
+        scripts = self.stub_scripts(build=build,
+                                    bench=self.ok_stub("bench_noop.py"))
+        rc = self.run_main(config_overrides={"scripts": scripts})
+        self.assertEqual(rc, 1)
+        status = self.read_status()
+        self.assertFalse(status["ok"])
+        self.assertEqual(status["steps"]["build"]["state"], "ok")
+        self.assertEqual(status["steps"]["bench"]["state"], "failed")
+        self.assertEqual(status["new_builds"], 1)
+        self.assertEqual(status["new_revisions"], 0)
+        # the effect-check failure cascades exactly like a bench exit != 0
+        self.assertEqual(status["steps"]["detect"]["state"], "skipped")
+        self.assertEqual(status["steps"]["report"]["state"], "skipped")
+        self.assertIn("bench FAILED effect check", self.log_text())
+
+    def test_quiet_day_no_new_builds_no_new_revisions_is_ok(self):
+        # Zero new upstream commits: build and bench legitimately do nothing.
+        # That must stay green, with a prominent WARNING after the build.
+        self.seed_results()
+        scripts = self.stub_scripts(bench=self.ok_stub("bench_noop.py"))
+        rc = self.run_main(config_overrides={"scripts": scripts})
+        self.assertEqual(rc, 0)
+        status = self.read_status()
+        self.assertTrue(status["ok"])
+        self.assertEqual(status["steps"]["build"]["state"], "ok")
+        self.assertEqual(status["steps"]["bench"]["state"], "ok")
+        self.assertEqual(status["new_builds"], 0)
+        self.assertEqual(status["new_revisions"], 0)
+        self.assertIn("WARNING: build succeeded but produced no new",
+                      self.log_text())
+
+    def test_status_alerts_are_regressions_only(self):
+        self.seed_results()
+        mixed = self.write_stub("detect_mixed.py", (
+            "import json, os, sys\n"
+            "os.makedirs(os.path.join('nightly', 'out'), exist_ok=True)\n"
+            "alerts = {'alerts': ["
+            "{'query_name': 'q0', 'direction': 'regression'}, "
+            "{'query_name': 'q1', 'direction': 'improvement'}, "
+            "{'query_name': 'q2', 'direction': 'improvement'}, "
+            "{'query_name': 'q3'}]}\n"
+            "with open(os.path.join('nightly', 'out', 'alerts.json'), 'w') as fh:\n"
+            "    json.dump(alerts, fh)\n"
+            "sys.exit(2)\n"
+        ))
+        rc = self.run_main(
+            config_overrides={"scripts": self.stub_scripts(detect=mixed)})
+        self.assertEqual(rc, 0)
+        status = self.read_status()
+        # 'alerts' (read by nightly.sh) = regressions + legacy no-direction
+        self.assertEqual(status["alerts"], 2)
+        self.assertEqual(status["improvements"], 2)
+
+    def test_prune_after_successful_bench(self):
+        builds = os.path.join(self.root, "builds")
+        os.makedirs(builds)
+        now = time.time()
+        for i in range(4):
+            path = os.path.join(builds, "datafusion-cli@sha%d@t%d" % (i, i))
+            with open(path, "w") as fh:
+                fh.write("x")
+            stamp = now - (4 - i) * 60
+            os.utime(path, (stamp, stamp))
+        rc = self.run_main(config_overrides={
+            "scripts": self.stub_scripts(),
+            "prune_builds_keep": 2,
+        })
+        self.assertEqual(rc, 0)
+        self.assertEqual(len(os.listdir(builds)), 2)
+
+    def test_lock_held_prevents_run(self):
+        lock = os.path.join(self.root, "nightly", ".lock")
+        with open(lock, "w", encoding="utf-8") as fh:
+            fh.write("pid=1\nstarted_at=x\nstarted_epoch=%.3f\n" % time.time())
+        rc = self.run_main(config_overrides={"scripts": self.stub_scripts()})
+        self.assertEqual(rc, 1)
+        # foreign lock must not be deleted
+        self.assertTrue(os.path.exists(lock))
+        self.assertFalse(
+            os.path.exists(os.path.join(self.root, "nightly", "out", "status.json")))
+
+    def test_stale_lock_broken_and_run_proceeds(self):
+        lock = os.path.join(self.root, "nightly", ".lock")
+        stale = time.time() - 25 * 3600
+        with open(lock, "w", encoding="utf-8") as fh:
+            fh.write("pid=1\nstarted_at=x\nstarted_epoch=%.3f\n" % stale)
+        rc = self.run_main(config_overrides={"scripts": self.stub_scripts()})
+        self.assertEqual(rc, 0)
+        self.assertFalse(os.path.exists(lock))
+
+    @unittest.skipIf(shutil.which("git") is None, "git not on PATH")
+    def test_publish_attempted_when_report_user_skipped(self):
+        # publish hard-depends on report, but a user --skip-report must NOT
+        # block it.  The temp root is a git repo on the publish branch but
+        # with no remote, so publish passes the branch guard and gets as far
+        # as 'git pull --rebase origin main', failing with the actionable
+        # abort message.
+        self.init_git_repo(branch="main")
+        self.seed_results()
+        rc = self.run_main(
+            extra_argv=["--skip-report"],
+            config_overrides={
+                "scripts": self.stub_scripts(),
+                "publish": {"enabled": True, "paths": ["results"]},
+            })
+        self.assertEqual(rc, 1)
+        status = self.read_status()
+        self.assertEqual(status["steps"]["report"]["state"], "skipped")
+        # attempted (i.e. not "skipped") and failed at pull --rebase
+        self.assertEqual(status["steps"]["publish"]["state"], "failed")
+
+    @unittest.skipIf(shutil.which("git") is None, "git not on PATH")
+    def test_publish_branch_guard_blocks_wrong_branch(self):
+        self.init_git_repo(branch="not-the-publish-branch")
+        self.seed_results()
+        os.chdir(self.root)
+        config = nightly.deep_merge(nightly.DEFAULT_CONFIG, {
+            "publish": {"enabled": True, "paths": ["results"]},
+        })
+        ok = nightly.do_publish(config, nightly.Logger(None), 1, 0)
+        self.assertFalse(ok)
+        # the guard must fire before any git mutation: still exactly one
+        # commit and nothing staged
+        log = subprocess.run(["git", "log", "--oneline"], cwd=self.root,
+                             capture_output=True, text=True, check=True)
+        self.assertEqual(len(log.stdout.strip().splitlines()), 1)
+        staged = subprocess.run(["git", "diff", "--cached", "--quiet"],
+                                cwd=self.root)
+        self.assertEqual(staged.returncode, 0, "guard must not stage anything")
+
+    @unittest.skipIf(shutil.which("git") is None, "git not on PATH")
+    def test_publish_branch_guard_fails_step_in_pipeline(self):
+        self.init_git_repo(branch="nightly-wip")
+        self.seed_results()
+        rc = self.run_main(config_overrides={
+            "scripts": self.stub_scripts(),
+            "publish": {"enabled": True, "paths": ["results"]},
+        })
+        self.assertEqual(rc, 1)
+        status = self.read_status()
+        self.assertEqual(status["steps"]["publish"]["state"], "failed")
+        self.assertIn("refusing to commit/rebase/push", self.log_text())
+
+
+# ---------------------------------------------------------------------------
+# Dry run
+# ---------------------------------------------------------------------------
+
+class TestDryRun(TempRepoTestCase):
+
+    def dry_run_log_text(self):
+        logs_dir = os.path.join(self.root, "nightly", "logs")
+        texts = []
+        for name in os.listdir(logs_dir):
+            with open(os.path.join(logs_dir, name), "r", encoding="utf-8") as fh:
+                texts.append(fh.read())
+        return "\n".join(texts)
+
+    def test_dry_run_writes_no_files_except_log(self):
+        rc = self.run_main(extra_argv=["--dry-run"],
+                           config_overrides={"scripts": {}})
+        self.assertEqual(rc, 0)
+        self.assertFalse(os.path.exists(os.path.join(self.root, "nightly", ".lock")))
+        self.assertFalse(
+            os.path.exists(os.path.join(self.root, "nightly", "out")))
+        self.assertTrue(
+            os.path.isdir(os.path.join(self.root, "nightly", "logs")))
+
+    def test_dry_run_prints_commands_and_honors_cli_days(self):
+        rc = self.run_main(extra_argv=["--dry-run", "--days", "7"],
+                           config_overrides={"days": 2})
+        self.assertEqual(rc, 0)
+        text = self.dry_run_log_text()
+        self.assertIn("DRY RUN", text)
+        self.assertIn("ensure_datafusion_cli.py", text)
+        self.assertIn("--days 7", text)  # CLI overrode config's 2
+        self.assertIn("benchmark.py", text)
+        self.assertIn("nightly/detect.py", text)
+        self.assertIn("report.py", text)
+        self.assertIn("step publish: SKIP (publish.enabled is false)", text)
+
+    def test_dry_run_shows_publish_commands_when_enabled(self):
+        rc = self.run_main(
+            extra_argv=["--dry-run"],
+            config_overrides={"publish": {"enabled": True}})
+        self.assertEqual(rc, 0)
+        text = self.dry_run_log_text()
+        self.assertIn("git add -- results docs nightly/out", text)
+        self.assertIn("git pull --rebase origin main", text)
+        self.assertIn("git push origin main", text)
+        self.assertIn("publish would commit paths: results, docs, nightly/out", text)
+
+    def test_dry_run_no_publish_flag_wins_over_config(self):
+        rc = self.run_main(
+            extra_argv=["--dry-run", "--no-publish"],
+            config_overrides={"publish": {"enabled": True}})
+        self.assertEqual(rc, 0)
+        self.assertIn("step publish: SKIP (--no-publish)", self.dry_run_log_text())
+
+    def test_dry_run_shows_skip_flags(self):
+        rc = self.run_main(extra_argv=["--dry-run", "--skip-bench"])
+        self.assertEqual(rc, 0)
+        self.assertIn("step bench: SKIP (--skip-bench)", self.dry_run_log_text())
+
+    def test_real_repo_dry_run_subprocess(self):
+        # End-to-end: run the real nightly.py with the shipped config.json
+        # from the actual repo root.  Dry-run executes nothing.
+        proc = subprocess.run(
+            [sys.executable, os.path.join("nightly", "nightly.py"), "--dry-run"],
+            cwd=REPO_ROOT, capture_output=True, text=True, timeout=120)
+        self.assertEqual(proc.returncode, 0,
+                         "stdout:\n%s\nstderr:\n%s" % (proc.stdout, proc.stderr))
+        out = proc.stdout
+        self.assertIn("DRY RUN", out)
+        self.assertIn("ensure_datafusion_cli.py", out)
+        self.assertIn("--days 2", out)
+        self.assertIn("--num-builds 2", out)
+        self.assertIn("benchmark.py --output-dir results --benchmarks clickbench", out)
+        self.assertIn("nightly/detect.py", out)
+        self.assertIn("report.py --results-dir results", out)
+        self.assertIn("step publish: SKIP (publish.enabled is false)", out)
+
+
+if __name__ == "__main__":
+    unittest.main(verbosity=2)
diff --git a/nightly/tune.sh b/nightly/tune.sh
new file mode 100755
index 0000000..691ef28
--- /dev/null
+++ b/nightly/tune.sh
@@ -0,0 +1,192 @@
+#!/usr/bin/env bash
+# tune.sh - put the Linux benchmark box into a low-noise state, or undo it.
+#
+# Usage:
+#   sudo ./nightly/tune.sh          apply benchmark tuning
+#   sudo ./nightly/tune.sh reset    restore everyday defaults
+#
+# apply (idempotent; safe to re-run every night):
+#   * cpufreq governor -> performance on every online CPU
+#   * turbo/boost      -> off (intel_pstate/no_turbo=1 OR cpufreq/boost=0,
+#                         whichever control file exists)
+#   * ASLR             -> off (kernel.randomize_va_space=0)
+#   * SMT              -> off (/sys/devices/system/cpu/smt/control)
+#   * irqbalance       -> stopped if running (absence is ignored)
+#
+# reset (best effort):
+#   * SMT on; governor schedutil/ondemand/powersave (first one available);
+#     turbo/boost on; ASLR back to 2; irqbalance started.
+#
+# Prints the before/after state. The read-only verification counterpart is
+# check_env.sh. On non-Linux this exits 0 with a message; on Linux it requires
+# root for the /sys and /proc/sys writes.
+set -euo pipefail
+
+MODE="${1:-apply}"
+case "${MODE}" in
+  apply|reset) ;;
+  *)
+    echo "Usage: $0 [reset]" >&2
+    exit 1
+    ;;
+esac
+
+if [ "$(uname -s)" != "Linux" ]; then
+  echo "tune.sh: not Linux ($(uname -s)); benchmark tuning only applies to the Linux box. Nothing to do."
+  exit 0
+fi
+
+if [ "$(id -u)" -ne 0 ]; then
+  echo "tune.sh: error: root is required to write /sys and /proc/sys tunables. Re-run as: sudo $0 ${MODE}" >&2
+  exit 1
+fi
+
+write_sysfs() {
+  # write_sysfs <value> <path> - best-effort, idempotent, chatty.
+  local value="$1" path="$2" current
+  if [ ! -e "${path}" ]; then
+    echo "  skip: ${path} not present on this kernel/driver"
+    return 0
+  fi
+  current="$(cat "${path}" 2>/dev/null || echo '?')"
+  if [ "${current}" = "${value}" ]; then
+    echo "  ok:   ${path} already ${value}"
+    return 0
+  fi
+  if printf '%s' "${value}" > "${path}" 2>/dev/null; then
+    echo "  set:  ${path} = ${value} (was ${current})"
+  else
+    echo "  WARNING: could not write '${value}' to ${path} (still ${current})" >&2
+  fi
+}
+
+set_governor() {
+  local governor="$1" f found=0
+  for f in /sys/devices/system/cpu/cpu[0-9]*/cpufreq/scaling_governor; do
+    [ -e "${f}" ] || continue
+    found=1
+    write_sysfs "${governor}" "${f}"
+  done
+  if [ "${found}" -eq 0 ]; then
+    echo "  WARNING: no cpufreq scaling_governor files found (no cpufreq driver?)" >&2
+  fi
+}
+
+default_governor() {
+  # Best-effort pick for `reset`: schedutil, then ondemand, then powersave
+  # (intel_pstate's non-performance mode). Prints nothing if none is available.
+  local avail g
+  avail="$(cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_available_governors 2>/dev/null || echo '')"
+  for g in schedutil ondemand powersave; do
+    case " ${avail} " in
+      *" ${g} "*)
+        echo "${g}"
+        return 0
+        ;;
+    esac
+  done
+  echo ""
+}
+
+turbo_off() {
+  if [ -e /sys/devices/system/cpu/intel_pstate/no_turbo ]; then
+    write_sysfs 1 /sys/devices/system/cpu/intel_pstate/no_turbo
+  elif [ -e /sys/devices/system/cpu/cpufreq/boost ]; then
+    write_sysfs 0 /sys/devices/system/cpu/cpufreq/boost
+  else
+    echo "  WARNING: no turbo/boost control found (neither intel_pstate/no_turbo nor cpufreq/boost)" >&2
+  fi
+}
+
+turbo_on() {
+  if [ -e /sys/devices/system/cpu/intel_pstate/no_turbo ]; then
+    write_sysfs 0 /sys/devices/system/cpu/intel_pstate/no_turbo
+  elif [ -e /sys/devices/system/cpu/cpufreq/boost ]; then
+    write_sysfs 1 /sys/devices/system/cpu/cpufreq/boost
+  else
+    echo "  WARNING: no turbo/boost control found; nothing to restore" >&2
+  fi
+}
+
+stop_irqbalance() {
+  if ! command -v systemctl >/dev/null 2>&1; then
+    echo "  skip: systemctl not available; stop irqbalance manually if it runs"
+    return 0
+  fi
+  if systemctl is-active --quiet irqbalance 2>/dev/null; then
+    if systemctl stop irqbalance 2>/dev/null; then
+      echo "  set:  irqbalance stopped"
+    else
+      echo "  WARNING: failed to stop irqbalance" >&2
+    fi
+  else
+    echo "  ok:   irqbalance not running"
+  fi
+}
+
+start_irqbalance() {
+  if ! command -v systemctl >/dev/null 2>&1; then
+    echo "  skip: systemctl not available"
+    return 0
+  fi
+  if systemctl start irqbalance 2>/dev/null; then
+    echo "  set:  irqbalance started"
+  else
+    echo "  note: could not start irqbalance (not installed? that is fine)"
+  fi
+}
+
+print_state() {
+  local governors turbo aslr smt irq
+  governors="$(cat /sys/devices/system/cpu/cpu[0-9]*/cpufreq/scaling_governor 2>/dev/null | sort -u | paste -sd, - || true)"
+  if [ -e /sys/devices/system/cpu/intel_pstate/no_turbo ]; then
+    turbo="intel_pstate/no_turbo=$(cat /sys/devices/system/cpu/intel_pstate/no_turbo 2>/dev/null || echo '?')"
+  elif [ -e /sys/devices/system/cpu/cpufreq/boost ]; then
+    turbo="cpufreq/boost=$(cat /sys/devices/system/cpu/cpufreq/boost 2>/dev/null || echo '?')"
+  else
+    turbo="no control file"
+  fi
+  aslr="$(cat /proc/sys/kernel/randomize_va_space 2>/dev/null || echo unknown)"
+  smt="$(cat /sys/devices/system/cpu/smt/control 2>/dev/null || echo unknown)"
+  if command -v systemctl >/dev/null 2>&1; then
+    irq="$(systemctl is-active irqbalance 2>/dev/null || true)"
+    [ -n "${irq}" ] || irq="unknown"
+  else
+    irq="unknown (no systemctl)"
+  fi
+  echo "  governor(s): ${governors:-unknown}"
+  echo "  turbo/boost: ${turbo}"
+  echo "  aslr:        kernel.randomize_va_space=${aslr}"
+  echo "  smt:         ${smt}"
+  echo "  irqbalance:  ${irq}"
+}
+
+echo "=== tune.sh: state before '${MODE}' ==="
+print_state
+echo
+
+if [ "${MODE}" = "apply" ]; then
+  echo "=== tune.sh: applying benchmark tuning ==="
+  set_governor performance
+  turbo_off
+  write_sysfs 0 /proc/sys/kernel/randomize_va_space
+  write_sysfs off /sys/devices/system/cpu/smt/control
+  stop_irqbalance
+else
+  echo "=== tune.sh: restoring defaults ==="
+  # SMT first, so CPUs that come back online pick up the governor set below.
+  write_sysfs on /sys/devices/system/cpu/smt/control
+  restore_governor="$(default_governor)"
+  if [ -n "${restore_governor}" ]; then
+    set_governor "${restore_governor}"
+  else
+    echo "  WARNING: no schedutil/ondemand/powersave governor available; leaving governor as-is" >&2
+  fi
+  turbo_on
+  write_sysfs 2 /proc/sys/kernel/randomize_va_space
+  start_irqbalance
+fi
+
+echo
+echo "=== tune.sh: state after '${MODE}' ==="
+print_state
diff --git a/report.py b/report.py
index d673681..857b03e 100644
--- a/report.py
+++ b/report.py
@@ -133,7 +133,7 @@ def generate_report(ctx, output_dir):
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>DataFusion ClickBench Performance Analysis</title>
-    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-2.35.2.min.js"></script>
     <style>
         body {{
             font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
@@ -299,6 +299,12 @@ def generate_report(ctx, output_dir):
                         Show events
                     </label>
                 </div>
+                <div style="margin-top: 10px;">
+                    <label style="display: flex; align-items: center; gap: 8px; font-size: 14px;">
+                        <input type="checkbox" id="showDetectedLines" checked onchange="updateCharts()" style="margin: 0;">
+                        Show detected changes
+                    </label>
+                </div>
                 <div id="filterDescription" style="margin-top: 10px; font-style: italic; color: #666;">
                     Releases and most recent git revision
                 </div>
@@ -357,6 +363,7 @@ def generate_report(ctx, output_dir):
             const filter = document.getElementById('timeFilter').value;
             const showReleaseLines = document.getElementById('showReleaseLines').checked;
             const showEventLines = document.getElementById('showEventLines').checked;
+            const showDetectedLines = document.getElementById('showDetectedLines').checked;
             const description = document.getElementById('filterDescription');
             
             let filteredPerformanceData, filteredQueryData, descText;
@@ -400,6 +407,12 @@ def generate_report(ctx, output_dir):
                 filteredPerformanceData = removeEventLines(filteredPerformanceData);
                 filteredQueryData = removeEventLines(filteredQueryData);
             }}
+
+            // If "Show detected changes" is unchecked, remove the detected event lines
+            if(!showDetectedLines) {{
+                filteredPerformanceData = removeDetectedLines(filteredPerformanceData);
+                filteredQueryData = removeDetectedLines(filteredQueryData);
+            }}
             
             description.textContent = descText;
             
@@ -444,6 +457,23 @@ def generate_report(ctx, output_dir):
             }};
         }}
         
+        function removeDetectedLines(chartObj) {{
+            // Create a copy with detected event lines removed
+            const newLayout = {{...chartObj.layout}};
+            newLayout.shapes = newLayout.shapes.filter(shape => 
+                shape.CUSTOM_ANNOTATION && shape.CUSTOM_ANNOTATION !== "detected"
+            );
+            newLayout.annotations = newLayout.annotations.filter(ann => 
+                ann.CUSTOM_ANNOTATION && ann.CUSTOM_ANNOTATION !== "detected"
+            );
+            
+            return {{
+                data: chartObj.data,
+                layout: newLayout,
+                config: chartObj.config
+            }};
+        }}
+        
         function filterReleasesVsMain(chartObj) {{
             // Filter to include only releases and the most recent revision
             const releases = releaseData.releases;
@@ -490,6 +520,9 @@ def generate_report(ctx, output_dir):
             
             // For short periods (week/month), only include the most recent release and recent data
             const mostRecentRelease = releaseData.mostRecentRelease;
+            // Annotation text uses the release *label* (e.g. "54.0.0"), which can
+            // differ from the revision (e.g. "branch-54"), so match on the label
+            const mostRecentReleaseLabel = releaseData.mostRecentReleaseLabel;
             
             const filteredData = chartObj.data.map(trace => {{
                 const filteredX = [];
@@ -537,8 +570,8 @@ def generate_report(ctx, output_dir):
                     
                     // For month views, only show most recent release OR releases within time range
                     if(days <= 30) {{
-                        return chartObj.layout.annotations && chartObj.layout.annotations.some(ann => 
-                            ann.x === shape.x0 && ann.text && ann.text.includes(mostRecentRelease)
+                        return mostRecentReleaseLabel && chartObj.layout.annotations && chartObj.layout.annotations.some(ann =>
+                            ann.x === shape.x0 && ann.text && ann.text.includes(mostRecentReleaseLabel)
                         );
                     }} else {{
                         // For 3 and 6 month views, only show releases within the time range
@@ -552,7 +585,7 @@ def generate_report(ctx, output_dir):
                     
                     // For month views, only show most recent release
                     if(days <= 30) {{
-                        return ann.text && ann.text.includes(mostRecentRelease);
+                        return mostRecentReleaseLabel && ann.text && ann.text.includes(mostRecentReleaseLabel);
                     }} else {{
                         // For 3 and 6 month views, only show releases within the time range
                         return annDate >= cutoffDate;
@@ -740,6 +773,17 @@ def create_performance_plotly_data(df, normalized=False):
     else:
         event_labels = {}
 
+    # Load detected event labels (from nightly regression detection) for vertical lines,
+    # de-duplicated by revision with hand-curated events.json taking precedence
+    detected_path = os.path.join(os.path.dirname(__file__), 'nightly', 'out', 'detected_events.json')
+    detected_labels = {}
+    if os.path.exists(detected_path):
+        try:
+            with open(detected_path, 'r', encoding='utf-8') as f:
+                detected_labels = {item['revision']: item['label'] for item in json.load(f) if item['revision'] not in event_labels}
+        except (ValueError, KeyError, TypeError, OSError) as e:
+            print(f"Warning: could not load detected events from {detected_path}: {e}")
+
     # Map revision to timestamp for annotation
     rev_to_timestamp = df.groupby('git_revision')['git_revision_timestamp'].min().to_dict()
 
@@ -863,6 +907,44 @@ def create_performance_plotly_data(df, normalized=False):
                 "CUSTOM_ANNOTATION": "event"
             })
 
+    # Add vertical lines and annotations for detected events (orange dash-dot lines)
+    for rev, label in detected_labels.items():
+        if rev in rev_to_timestamp:
+            ts = rev_to_timestamp[rev];
+            if hasattr(ts, 'strftime'):
+                ts_str = ts.strftime('%Y-%m-%dT%H:%M:%S.%fZ');
+            else:
+                ts_str = pd.to_datetime(ts).strftime('%Y-%m-%dT%H:%M:%S.%fZ');
+
+            layout["shapes"].append({
+                "type": "line",
+                "x0": ts_str,
+                "x1": ts_str,
+                "y0": 0,
+                "y1": 1,
+                "yref": "paper",
+                "line": {
+                    "color": "orange",
+                    "width": 2,
+                    "dash": "dashdot"
+                },
+                "CUSTOM_ANNOTATION": "detected"
+            })
+
+            layout["annotations"].append({
+                "x": ts_str,
+                "y": 0.99,
+                "yref": "paper",
+                "text": f"Detected: {label}",
+                "showarrow": False,
+                "xanchor": "right",
+                "yanchor": "top",
+                "font": {"color": "orange", "size": 12},
+                "bgcolor": "rgba(255,255,255,0.7)",
+                "bordercolor": "orange",
+                "CUSTOM_ANNOTATION": "detected"
+            })
+
     config = {"responsive": True};
 
     return {"data": data, "layout": layout, "config": config}
@@ -889,6 +971,17 @@ def create_queries_plotly_data(df):
     else:
         event_labels = {}
 
+    # Load detected event labels (from nightly regression detection) for vertical lines,
+    # de-duplicated by revision with hand-curated events.json taking precedence
+    detected_path = os.path.join(os.path.dirname(__file__), 'nightly', 'out', 'detected_events.json')
+    detected_labels = {}
+    if os.path.exists(detected_path):
+        try:
+            with open(detected_path, 'r', encoding='utf-8') as f:
+                detected_labels = {item['revision']: item['label'] for item in json.load(f) if item['revision'] not in event_labels}
+        except (ValueError, KeyError, TypeError, OSError) as e:
+            print(f"Warning: could not load detected events from {detected_path}: {e}")
+
     # Map revision to timestamp for annotation
     rev_to_timestamp = df.groupby('git_revision')['git_revision_timestamp'].min().to_dict()
 
@@ -1006,6 +1099,44 @@ def create_queries_plotly_data(df):
 
             })
 
+    # Add vertical lines and annotations for detected events (orange dash-dot lines)
+    for rev, label in detected_labels.items():
+        if rev in rev_to_timestamp:
+            ts = rev_to_timestamp[rev];
+            if hasattr(ts, 'strftime'):
+                ts_str = ts.strftime('%Y-%m-%dT%H:%M:%S.%fZ');
+            else:
+                ts_str = pd.to_datetime(ts).strftime('%Y-%m-%dT%H:%M:%S.%fZ');
+
+            layout["shapes"].append({
+                "type": "line",
+                "x0": ts_str,
+                "x1": ts_str,
+                "y0": 0,
+                "y1": 1,
+                "yref": "paper",
+                "line": {
+                    "color": "orange",
+                    "width": 2,
+                    "dash": "dashdot"
+                },
+                "CUSTOM_ANNOTATION": "detected"
+            })
+
+            layout["annotations"].append({
+                "x": ts_str,
+                "y": 0.99,
+                "yref": "paper",
+                "text": f"Detected: {label}",
+                "showarrow": False,
+                "xanchor": "right",
+                "yanchor": "top",
+                "font": {"color": "orange", "size": 12},
+                "bgcolor": "rgba(255,255,255,0.7)",
+                "bordercolor": "orange",
+                "CUSTOM_ANNOTATION": "detected"
+            })
+
     return {
         "data": data,
         "layout": layout,
@@ -1024,15 +1155,36 @@ def load_release_data(ctx):
         with open(labels_path, 'r') as f:
             releases_info = json.load(f)
             releases = [item['revision'] for item in releases_info]
+            release_labels = {item['revision']: item['label'] for item in releases_info}
 
             # Find the most recent release
             most_recent_release = None
             if releases_info:
-                # Assuming releases.json is ordered by date, take the last one
-                most_recent_release = releases_info[-1]['revision']
+                # Pick the release with the latest git_revision_timestamp among
+                # releases actually present in the loaded data; fall back to the
+                # first entry (releases.json is ordered newest-first)
+                try:
+                    result = ctx.sql("""
+                    SELECT git_revision, MAX(git_revision_timestamp) as ts
+                    FROM benchmark_results
+                    WHERE query_type = 'query'
+                    GROUP BY git_revision
+                    """)
+                    rev_ts_df = result.to_pandas()
+                    rev_ts = dict(zip(rev_ts_df['git_revision'], rev_ts_df['ts']))
+                except Exception as e:
+                    print(f"Warning: could not query revision timestamps for release selection: {e}")
+                    rev_ts = {}
+                releases_in_data = [rev for rev in releases if rev in rev_ts]
+                if releases_in_data:
+                    most_recent_release = max(releases_in_data, key=lambda rev: pd.to_datetime(rev_ts[rev], utc=True))
+                else:
+                    most_recent_release = releases_info[0]['revision']
+            most_recent_release_label = release_labels.get(most_recent_release)
     else:
         releases = []
         most_recent_release = None
+        most_recent_release_label = None
 
     # Get most recent timestamp from data
     most_recent_query = """
@@ -1051,7 +1203,8 @@ def load_release_data(ctx):
     return {
         "releases": releases,
         "mostRecent": most_recent_timestamp,
-        "mostRecentRelease": most_recent_release
+        "mostRecentRelease": most_recent_release,
+        "mostRecentReleaseLabel": most_recent_release_label
     }