Aleksey Shakhmatov
556ad7dc86
Two streams of work land together: they are interleaved in storage.zig
and db.zig and only build as a unit.
Already in the working tree before this session:
- ReleaseFast as the default zig build (Debug was 10-200x slower)
- group commit: one fsync per write command instead of per document
- plan_id returned a pointer to a stack temporary; ReleaseFast read
garbage and silently broke findOne({_id: ObjectId})
- perf suite: big.js, compare.js, compare-run.sh, e2e6.js
Phase 1 performance work:
Record integrity hash CRC32 -> XxHash3. std.hash.Crc32 is the
table-driven byte-at-a-time Crc32IsoHdlc, measured at 408 MB/s against
XxHash3's 31 GB/s: 38us versus 0.5us on a 16 KiB document, which was
about two thirds of the entire bulk-insert cost. The record header
grows from u32 crc to u64 hash (header_len 20 -> 24), a breaking
format change. Bulk insert 260 -> 700 MB/s, reopen 1.1 -> 0.5s.
Compaction fsynced once per live document, because Log.open leaves
defer_sync false and compact never set it. It now issues one sync for
the whole rewrite, before the rename that publishes it.
Compaction triggers on the share of the log that is garbage
(live_docs/dead_docs, maintained at evict_doc, the single point where
a document dies) rather than on bytes appended. A fixed byte count is
wrong in both directions: a 1 GB bulk load holds no garbage at all yet
would compact ~64 times under the 16 MiB default, rewriting 1 GB each
time, while a small collection rewritten in place accumulates garbage
indefinitely without ever reaching the count. Pure inserts now never
compact, and the file stays near 1.25x the live data. Bulk load at the
default threshold: 41.6 -> 702.7 MB/s.
remove() never called maybe_compact, so a delete-heavy workload grew
the log without bound.
e2e6's compaction check required the file to bloat past 30 MiB before
being reclaimed, which encoded the old policy and failed on strictly
better behaviour (ends at 15.8 MB against ~12 MB live, was ~30 MB). It
now asserts the file ends near the live size and peaked well above it,
which does not depend on when the trigger fires. Sampling interval 50
-> 10ms: the operations now finish inside the old window.
Verified: 70 unit tests under both ReleaseFast and ReleaseSafe, e2e
29/16/17/3/2 checks, the crash-a/kill -9/crash-b pair, and e2e6 72/72
across three consecutive runs.
End-to-end tests with the official MongoDB Node.js driver
These exercise mongo-lite from a real driver over TCP: full CRUD, query operators, aggregation, error codes, concurrent clients, crash recovery, and the whole lifecycle including server restarts.
Setup
cd tests/e2e
npm init -y >/dev/null
npm install mongodb
Run
Most suites expect a server running on port 27020:
zig build
zig-out/bin/mongo-lite --port 27020 --db /tmp/ml-e2e.log --ttl-sweep-secs 1 &
node tests/e2e/e2e.js # CRUD + operators + aggregate + errors (29 checks)
node tests/e2e/e2e2.js concurrent # 8 clients: 4 writers + 4 readers (2 checks)
node tests/e2e/e2e2.js crash-a # write 50 docs, then kill -9 the server
node tests/e2e/e2e2.js crash-b # restart and verify all 50 survived
node tests/e2e/e2e3.js # secondary indexes: unique/sparse/compound (16 checks)
node tests/e2e/e2e4.js # TTL indexes: expiry + rejected specs (15 checks)
e2e4.js needs the server started with --ttl-sweep-secs 1 (the default is
60 seconds); the other suites do not care about the flag.
e2e6.js is the full-lifecycle suite and is self-contained: it spawns its
own server on port 27220 with a fresh log, runs the whole feature surface,
restarts the server twice (graceful SIGTERM, then kill -9 mid-write) and
verifies everything survived:
node tests/e2e/e2e6.js # 73 checks, ~15 s, needs no running server
E2E6_PORT=27300 node tests/e2e/e2e6.js # different port if 27220 is taken
Rebuild with zig build after any change under src/ before restarting the
server: zig build test compiles the test binary only and leaves
zig-out/bin/mongo-lite stale, so the suites keep running against the old
rules and report failures that the source no longer explains.
e2e2.js concurrent is safe to repeat against a running server (it drops its
collection first); crash-a/crash-b are two halves of one scenario.
Multi-GB collections: big.js
big.js is a load harness, not a pass/fail suite: it spawns a server, bulk
loads up to ~5 GB, and reports insert throughput, the compaction behavior,
server RSS, per-operation latencies, reopen (replay) time, and kill -9
durability.
node tests/e2e/big.js --quick # 268 MB smoke run
node tests/e2e/big.js --size 5g --doc-size 128k --oid --batch 200 \
--compact-threshold 2g # ~5 GB, 40k docs
Options: --size/--doc-size/--batch (k/m/g suffixes), --oid
(ObjectId _ids — see below), --index <field> (secondary index before
loading), --compact-threshold <bytes> (passed to the server),
--port, --keep (keep the db file).
Measured behavior (all documented in the top-level README):
- Build in ReleaseFast —
zig builddefaults to it; a Debug server is 10-200x slower on every path. - Insert throughput collapses under the default 16 MiB compaction
threshold: every ~16 MB of writes rewrites the whole log with one fsync
per record (O(n²) total). With
--compact-threshold 2gthe rate stays flat (hundreds of MB/s at 128 KB docs in ReleaseFast). Raise the threshold for bulk loads. findOne({_id})is O(1) only for ObjectId_ids. Integer_ids are serialization-ambiguous (int32/int64/double compare equal but hash differently), so the docs-map fast path is skipped and every lookup is a full scan. Use the driver's default ObjectId ids on big collections.- The engine holds everything in RAM: ~1-1.2x the data size at 128 KB docs (more at 16 KB docs, where per-document arena overhead dominates). A 5 GB collection needs roughly 6-7 GB of RAM.
- Reopen of a 5 GB log replays in ~10 s (ReleaseFast); every committed write survives kill -9.
Comparing against real MongoDB: compare.js + compare-run.sh
bash tests/e2e/compare-run.sh [size] [doc-size] # e.g. 1g 16k
Starts mongod (brew install mongodb-community) on :27018 and mongo-lite
on :27019, runs the same driver workload against each (durable writes:
mongo-lite fsyncs per command, mongod runs with j: true), measures kill -9
reopen for both, and prints a side-by-side table. compare.js alone runs
one side (see its --help-style header comment).