Apply the cache's write pragmas to every writing connection - #326
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`run_migrations` opens its own connection instead of going through
`CacheManager._configure_connection`, and set only `foreign_keys = ON`.
On a brand-new cache database that connection is the first thing to
touch the file, so the entire migration chain ran at SQLite's defaults —
`journal_mode=delete`, `synchronous=FULL`, an fsync per write
transaction — and only later connections got WAL.
Measured over 20 fresh databases per arm, quiet disk, 3 repeats:
default (before) 119.5 / 117.9 / 121.9 ms/db delete
journal_mode=WAL only 47.6 / 47.1 / 47.3 ms/db wal
WAL + synchronous=NORMAL (now) 11.8 / 11.5 / 12.7 ms/db wal
Setting only `journal_mode` is not the fix: it persists in the database
file, but `synchronous` is per-connection and stays at FULL, leaving ~4x
on the table while the journal mode makes it look done. That the cost is
fsync and not CPU is confirmed by a tmpfs control, where the default arm
runs at the patched arm's speed; and because fsync cost scales with
device contention, a single-threaded benchmark understates the win under
a parallel test run.
The pragma pair now has one definition, `apply_write_pragmas`, applied by
both writers. It lives in the migration runner because `cache.py`
imports that module, not the other way round. A `mode=ro` reader still
applies neither: it cannot switch journal modes and needs neither pragma.
The two read-only `SELECT` connections in `cache.py` that also bypass
the helper are deliberately left alone — they open no write
transactions, so they pay no fsync.
Guarded by two tests: the database a fresh `run_migrations` leaves
behind is in WAL mode, and the runner's own connection is at
`synchronous=NORMAL`. The second samples the value inside that
connection's `close()`, since `synchronous` is per-connection and
unobservable once the handle is gone. Both go red with the call removed;
with `journal_mode` alone restored, only the `synchronous` one does.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The ~10x now appears in a commit message and in
`dev-docs/application_model.md`, and a figure that outlives its method
gets re-derived or quietly doubted. `scripts/bench_migration_pragmas.py`
reproduces it in a few seconds and needs no data at all — every arm
builds throwaway databases out of the migration chain — which is why it
is its own script rather than part of `bench_render.py`, whose whole
shape is copying a real projects tree.
Four arms, `--databases`/`--repeats` to taste. The baseline arm is the
runner's own `apply_write_pragmas` substituted with a no-op, i.e. exactly
what the pre-fix runner did, so no arm re-implements the code under test.
Each row is self-verifying: after the timed loop the arm's pragma
function is applied to one more connection and both pragmas are read
back off it, so a row reports what it achieved rather than what it tried
to set. `synchronous` has to be read from a connection the arm
configured — read from a fresh default handle it would report FULL for
every arm and make the arms look inert. That column is what makes the
WAL-only row legible: it sits at `journal_mode=wal, synchronous=FULL`,
which is the trap in one line.
default (pre-fix) 111.4 ms/db delete, FULL
journal_mode=WAL only 46.6 ms/db wal, FULL
WAL + synchronous=NORMAL 11.7 ms/db wal, NORMAL
synchronous=OFF only 9.7 ms/db delete, OFF
Two controls, both flags on the script:
`--tmpdir /dev/shm` removes the fsync and every arm collapses into the
band 7.6-9.6 ms/db, the 111 ms with it — so the thing being measured is
fsync, not CPU or migration work.
`--reverse-arms` answers a confound the repeats cannot: arm order is
fixed within a repeat, so a systematic ordering artifact would not show
up as variance. Reversed, the ranking is unchanged (default 115.9,
WAL-only 45.0).
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Configuring the migration runner as a writer put a brand-new database into WAL before any `CacheManager` connection opens it. `journal_mode` persists in the file, so `TestWALMode::test_wal_journal_mode_enabled` then read `wal` back whatever `_configure_connection` did — verified by removing its pragmas and watching that assertion stay green, where the same mutation before this branch turned it red. The invariant it names is still true; it had just stopped being able to detect its own regression. Force the file out of WAL first, and only a connection that applies the pragma itself can bring it back. Leaving WAL requires no other connection to be open and silently does nothing if one is, so the switch is confirmed from an independent handle before the assertion that depends on it — otherwise a failed switch would restore exactly the vacuous pass this is removing. `test_synchronous_normal` needs no such treatment: `synchronous` is per-connection, so nothing another connection did can satisfy it. That asymmetry is why one of the pair went quiet and the other did not. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The 120/47/12 ms/db in the cache-connection section were measured on an idle disk, and a reader has no way to tell that from the page. Under contention the same arms measured 1382 / 362 / 46 ms/db, while a `synchronous=OFF` control held at 10-12 ms/db across every load — the non-fsync work is flat, so what scales is the fsync, and the ratio is a property of the disk that day rather than of the code. So the section now names `scripts/bench_migration_pragmas.py` and says to re-derive. The quiet numbers stay, because they are the ones worth quoting; what they no longer imply is that a reader who measures something else has found a regression. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
…sync The figures in the cache-connection section were measured before the watch-tick work landed, which added migration 013. Re-run on an idle disk against the current chain: 128 / 50 / 13 ms/db, where it had been 111 / 47 / 12. The interesting part is which arm moved. The `synchronous=OFF` control went 9.7 -> 10.1 ms/db, so migration 013 costs ~0.4 ms of actual work; the default arm went 111 -> 128. One more migration is one more commit, and at `synchronous=FULL` a commit is an fsync — so the chain gets ~16 ms more expensive per database for every migration added, until the runner's pragmas make it ~1 ms. Worth having in the doc because it is a standing cost of a growing migration chain, not a one-off measurement, and because it is the clearest statement of what the arms are actually measuring: the same control that identifies the cost as fsync also prices each new migration. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The per-database figures were measured single-threaded, which is the condition in which this fix looks smallest. Under `-n auto` the unit leg runs ~130 s without the runner's pragmas and ~51 s with them — three interleaved A/B pairs, no overlap between the arms, the baseline arm being `apply_write_pragmas` substituted with a no-op inside every xdist worker. Across ~402 databases that is ~195 ms saved each, against the ~110 ms an idle bench predicts. The gap is the parallelism: fsync does not divide by worker count. Sixteen workers queue at one device, and at `synchronous=FULL` each worker's commits lengthen every other worker's, so a parallel suite manufactures most of the contention that makes its own fsyncs expensive. The diagnostic in the second paragraph is the part likely to outlive the numbers. The slow arm was stable to ±1.6% while the fast arm swung ±16%, which reads backwards until you see that the slow arm is fsync-bound and pinned by the device while the fast one is CPU-bound and exposed to whatever else is running. Stability can mean a saturated resource rather than a quiet machine — and here it is why box load could not swamp the comparison, since all the noise sat in the arm that got faster. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The previous commit claimed each added migration costs ~16 ms per database at the SQLite defaults. That figure came from one base-to-base delta — 111 ms/db before the watch-tick work, 128 after, with a `synchronous=OFF` control moving only 0.4 ms — and the next data point contradicts it: adding migration 014 moved the same arm 128.0 -> 127.3, i.e. nothing. A comparison between two trees confounds the migration count with everything else that changed between them, and n=1 was never enough to carry a per-migration rate. The mechanism was right and the instrument was wrong. `strace -c -e trace=fsync` over a single `run_migrations`, with the chain truncated to its lowest N migrations, settles it without any dependence on what the disk was doing: 228 / 236 / 244 fsyncs at chain lengths 12 / 13 / 14 before the fix, and a flat 8 after. Exactly 8 more per migration, none with the pragmas. So the conclusion the bad number was supporting survives, better supported: the pre-fix runner's cost grows with the length of the migration chain and the fixed one does not. What does not survive is pricing that slope in milliseconds — an fsync's cost swings more than 10x with contention, which is precisely why the two timing deltas disagreed while the counts do not. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The switch into WAL is itself a write, so at the default synchronous=FULL it fsyncs for its own transition. Setting synchronous first drops a fresh database from 8 fsyncs to 7 — measured with the same `strace -c` sweep, flat at 7 across chain lengths 12, 13 and 14, with the pre-fix arm unchanged at 228/236/244. Sub-millisecond per database, and worth the one line mostly because it is also the order the pragmas should be read in: establish the durability setting, then perform the write that changes the journal mode. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
`apply_write_pragmas` documents itself as what every *writing* cache connection applies, and the dev-doc said the same. A third writer falsified it: `cli.py::_build_search_index` opens its own `sqlite3.connect(db_path)` with no pragmas at all and hands it to `ensure_index`, which commits once per transcript file by design, so an interrupted backfill resumes rather than restarting. At the default synchronous=FULL that is an fsync per indexed file. Counted the same way as the migration chain — 33 / 43 / 63 / 103 fsyncs over 10 / 20 / 40 / 80 files, against a flat 16 with the pragmas applied. One fsync per file, removed. It is a small absolute cost (~0.65 ms/file, around 1% of a real index build, where decompressing and tokenising dominate) and it is fixed for the shape rather than the size: the count grows with the archive and the pragmas make it constant. The index is rebuildable from the same JSONL as the cache, so NORMAL's residual risk is the trade already made everywhere else. The more interesting half is that prose could not keep that claim true. The migration runner was missed when these pragmas were first written, and this builder was missed again while fixing the runner — twice, by people looking straight at the problem. So `TestConnectionCensus` enumerates every `sqlite3.connect` in the package by AST and fails until each one is classified as a configured writer or a reader, with the reason recorded next to it. Adding a connection is now the moment someone is asked whether it writes. Both of its arms are pinned: an unclassified new site fails it, and so does a classified site that no longer exists, so the census cannot quietly come to describe a package that has moved on. Also stops the recording connection in the runner's guard test from masking a failure: it samples pragmas inside `close()`, which `run_migrations` calls from a `finally`, so on the error path it was running SQL on a possibly-broken handle. It now lets the original exception through and leaves `recorded` empty, which the test already reports plainly. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The census compared which functions call `sqlite3.connect` and threw the count away, so a second, unconfigured connection added *inside* a function that already had one passed it. That is the same defect the census exists to catch, in the place it is most likely to occur — a function that already connects is the obvious place to add another, and `_open_connection` demonstrates that by legitimately holding two. Reproduced before fixing: a bare sibling `sqlite3.connect` next to the runner's own, with no pragmas, left the census green. `EXPECTED` now carries the count alongside the reason and the assertions compare the mapping. `_open_connection`'s two are stated rather than implied, so a third would fire. The original two mutation arms — an unclassified new site, and a classified site that has vanished — had the same blind spot as the assertion, which is why the check passed. Both new arms are pinned too: a second connect inside a classified function fails, and so does a classified count that simply disagrees with the tree. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
`journal_mode = WAL` writes to the database header, so on a corrupt cache
it raises — and applying the pragmas before the `fts5_available` check
put that raise outside the corrupt-database handler further down. The
function stopped degrading and started failing: `--no-convert` on a
corrupt cache refused to start, which is exactly what the handler below
exists to prevent ("serving the pages without search beats refusing to
start").
The probe swallows `sqlite3.Error` and returns False, so an unreadable
database now leaves through the pre-existing path before reaching the
pragmas. Verified through the real function on a deliberately corrupted
cache: raised `DatabaseError` before, returns normally after. The fsync
counts are unchanged either way — 16 flat against 33/43/63 — so the move
costs nothing.
Neither of that function's paths had any test, which is how applying the
pragmas broke one of them silently. Both are pinned now: the corrupt
cache must not raise, and a healthy one must still come out at
synchronous=NORMAL — sampled from the builder's own connection as it
closes, since reading it back from a fresh handle would report FULL
whatever happened. Putting the call back where it was turns the first
red and leaves the second green.
Also closes the second way the connection census could quietly stop
meaning anything. It matches `sqlite3.connect(...)`, so
`from sqlite3 import connect` and `import sqlite3 as sq` are both
invisible to it, and both fail open. Rather than widen the matcher —
bare `connect(...)` would catch other libraries — the import shapes are
forbidden. There are none today, so it costs nothing until someone
writes one, which is precisely when the census's own docstring would
have started lying.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The census walked every function and then re-walked its body, so a connection inside a nested function was counted twice — once for the inner scope, once for the outer. Harmless while only the key set was compared; a live defect once the count became part of the claim, since a legitimate site would have to be recorded with a number that is not the number of connections there. A connection at module level was not seen at all. That failed open, which is the wrong direction for a guard whose whole job is catching an omission: an unclassified writer would have shipped green. One pass with an explicit scope stack fixes both. Each call is attributed exactly once, to its innermost enclosing class or function, or to `<module>` when it is outside every one of them — which is also why `api.py`'s reader is now keyed `SearchApi.connection`, so that two same-named methods in one module can no longer collapse into a single entry and hide one another. Seven mutations now fail it, which is the whole set of shapes anyone has found: a new site in a new function, a second site inside an already-classified one, a site at module level, a site in a nested function, `from sqlite3 import connect`, `import sqlite3 as sq`, and a classified count that simply disagrees with the tree. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Its docstring claimed two ways the guarantee could quietly become false and then closed three. The third is attribution — a call at module scope, in a class body, or in a nested function, once invisible or counted twice — which was documented one level down in `_connect_sites` and missing from the summary. A docstring about unconditional claims falling to one counterexample is the last place to leave a quantifier that understates its own work. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Included review availability: Your plan provides up to 4 included reviews per hour; 2 remain after this review. 📝 WalkthroughWalkthroughThe change centralizes SQLite write pragmas and applies them to migration, cache, and search-index connections. It adds connection lifecycle tests, a pragma benchmark, and documentation for performance and reader behavior. ChangesSQLite write pragma consistency
Priority: ⬇️ Low Estimated code review effort: 3 (Moderate) | ~25 minutes Sequence Diagram(s)sequenceDiagram
participant MigrationRunner
participant CacheManager
participant SearchIndexBuilder
participant SQLite
MigrationRunner->>SQLite: Open migration connection
MigrationRunner->>SQLite: Apply WAL and synchronous=NORMAL
CacheManager->>SQLite: Configure writable cache connection
SearchIndexBuilder->>SQLite: Probe and configure cache connection
SearchIndexBuilder->>SQLite: Build FTS index
Merge Risk: ⚪ Minimal · up to The change applies WAL and NORMAL synchronous settings to writer connections while preserving reader behavior and corrupt-cache degradation. No concrete merge-blocking risk is identified. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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In `@claude_code_log/migrations/runner.py`:
- Line 194: Update run_migrations so its try/finally begins immediately after
sqlite3.connect, enclosing PRAGMA foreign_keys configuration and
apply_write_pragmas(conn); preserve the existing finally cleanup so conn.close()
runs if either configuration call raises.
In `@scripts/bench_migration_pragmas.py`:
- Line 180: After argument parsing in the main flow, validate the databases and
repeats values used by _time_arm so both are positive; reject zero or negative
inputs with the parser’s standard error handling before any benchmark execution
or statistics calculation.
In `@test/test_search.py`:
- Line 1021: Update the test around run_migrations and _build_search_index to
use a separate connection after migrations to set journal_mode=DELETE, then
record both journal_mode and synchronous from the builder connection and assert
the builder restores journal_mode=wal alongside the existing synchronous check.
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The pragmas were applied outside the `try` whose `finally` closes the connection, so a failure there leaked the handle. They are also the first statements in `run_migrations` that touch the file, which makes a corrupt database exactly the case that raises — and exactly the case that then needs the file deleted. On Windows an open file cannot be deleted, so the leak defeated `CacheManager._rebuild_corrupt_database`: `discard_database_files` failed and the original `DatabaseError` was re-raised instead of the cache being discarded and rebuilt. `test_garbage_file_is_replaced` and `test_a_corrupt_database_is_still_rebuilt_under_a_lease` failed on every Windows runner and passed on every Linux one, because Linux unlinks open files happily. Before this branch the first file-touching statement was already inside the `try`, so the window did not exist; adding the pragmas above it is what opened it. Everything after the connect now sits inside the try — the same care `cache.py::_open_connection` takes, for the same reason and against the same WinError. The test pins the invariant rather than the symptom, since no Linux run can reproduce the symptom: after a raising pragma, every connection the runner opened refuses to operate. It asks the handle's actual state instead of trusting a recorded `close()`, and putting the pragmas back above the `try` turns it red while the corrupt-recovery tests it protects stay green — which is the whole difficulty in one line. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
…mark runs Two findings from automated review, both valid, both verified against the code before being acted on. The builder's pragma test asserted only `synchronous`. `journal_mode` persists in the file and `run_migrations` already leaves the database in WAL, so the test passed whether or not the builder set it — confirmed by swapping `apply_write_pragmas` for a bare `synchronous` pragma and watching it stay green. That is the same vacuous pass this branch removed from the cache-side WAL test, reintroduced one file over in a test written to guard against it. It now forces the file to `delete` first, with a positive control that the switch took, and asserts the builder puts it back. The benchmark script took `--databases 0` into a division by zero and `--repeats 0` into `statistics.median()` on no samples. Both are divisors; both now fail through the parser before anything runs. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Automated review reported docstring coverage under its threshold for the functions this diff touches. Ten of the undocumented ones are genuinely new here — two benchmark arms, the script's entry point, the census's matcher and its recursive walk, and the recording and tracking connection helpers in three test files. Scoped to those. The rest of the count is pre-existing functions in the same files, which this branch has no business rewriting: a coverage number is not a reason to touch code the change does not otherwise concern. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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cache.pyhas always configured its connections withjournal_mode=WAL+synchronous=NORMAL, with a comment explaining that the cache is regenerableso the reduced durability is fine. Two other connections to the same database
never went through that helper, and both are writers.
The migration runner
run_migrationsopens its ownsqlite3.connectand set onlyPRAGMA foreign_keys = ON. On a brand-new cache database that connection isthe first thing to touch the file, so the entire migration chain ran at
SQLite's defaults —
journal_mode=delete,synchronous=FULL, an fsync perwrite transaction — and only later connections got WAL.
Counted rather than timed, because the claim is structural and a count needs no
quiet disk (
strace -c -e trace=fsyncover onerun_migrations, with thechain truncated to its lowest N migrations):
Every migration added to the chain costs 8 more fsyncs at the defaults, and
none with the pragmas. So this bounds a cost that would otherwise rise with
every schema change, rather than paying for itself once.
Don't infer that slope from wall-clock: what an fsync costs swings by more
than 10x with device contention, so per-migration timing deltas measured on
different days are incoherent, while the counts above are stable.
The search-index builder
cli.py::_build_search_indexopens its own connection too, andensure_indexcommits once per transcript file by design, so an interruptedbackfill resumes rather than restarting. At
synchronous=FULLthat is an fsyncper indexed file:
Small in absolute terms — around 0.65 ms/file, roughly 1% of a real index build
where decompressing and tokenising dominate — and fixed for the shape rather
than the size: the count grows with the archive and the pragmas make it
constant.
The call sits after the FTS5 probe deliberately.
journal_mode = WALwritesthe database header and raises on a corrupt cache, where the probe swallows the
error and returns
False; setting the pragmas first turned this function'sgraceful degradation into an unhandled
DatabaseError, so--no-converton acorrupt cache refused to start.
What it is worth to the test suite
The unit leg creates ~402 databases. With the runner's pragmas removed it runs
~130 s against ~51 s under
-n auto— three interleaved A/B pairs, nooverlap between the arms. That is ~195 ms saved per database, well above the
~110 ms an idle bench predicts, because fsync does not parallelise: sixteen
workers do not get sixteen devices, they queue at one, and at
synchronous=FULLeach worker's commits lengthen every other worker's.This figure is author-measured and was not independently reproduced — it
needs two full unit runs on an otherwise idle machine. The fsync counts above
are on a different footing: both were re-derived during review with a separate
harness rather than by re-running this one, which is what makes them independent
rather than merely repeated.
scripts/bench_render.pyhas company:
scripts/bench_migration_pragmas.pyre-derives the per-databasearms in a few seconds and needs no data, with
--tmpdirand--reverse-armsfor the no-fsync and arm-order controls.
Tests
journal_mode=wal, and the connection itself is atsynchronous=NORMAL(sampled from that connection as it closes —
synchronousis per-connection,so a fresh handle would report
FULLwhatever happened).TestWALMode::test_wal_journal_mode_enabledhad quietly become a tautology:once the runner leaves a new database in WAL, and
journal_modepersists inthe file, the assertion read
walback regardless of what_configure_connectiondid. It now forces the file out of WAL first, with apositive control that the switch took effect.
_build_search_indexhad no coverage at all; both of its paths are nowpinned — a corrupt cache must not raise, and a healthy one must still come
out at
synchronous=NORMAL.TestConnectionCensuswalks everysqlite3.connectin the package by AST andfails until each is classified as a configured writer or a reader. The
docstring makes an unconditional claim, so the three ways it could quietly
become false are closed: the expected count per site is pinned, the import
shapes the walk cannot see are forbidden, and each call is attributed exactly
once to its innermost scope.
Two connections deliberately unchanged:
get_all_cached_projectsandfind_session_in_cacheopen,SELECT, and close, so they run no writetransaction and have no fsync to save.
Surfaced during review and filed separately, not fixed here:
fts5_availablecannot distinguish a missing FTS5 build from an unreadable database, so a
corrupt cache is reported to the user as "This SQLite build has no FTS5"
(#324).
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Summary by CodeRabbit
Bug Fixes
Performance