Amendment A5 and the `[M1.1]`/`[M1.2]` blocks. What they record is a result with two halves, and the value is in keeping both: The mechanism works. 934 MB reclaimed over the update run, occupancy at 1.06-1.26x its live data, and the counters that say so are in `serverStatus` rather than inferred. The ratio did not move. 1.94x delete-heavy and 2.46x update-heavy, identical to the end-of-Stage-2 binary measured with the same harness. `file / live` is a high-water mark because the data file never shrinks, and the mark is set in the first round by the one thing reclamation cannot avoid: a rebuild needs a whole second copy of the live data before the first can be freed. So ~2x is the floor of a rebuild-based design and no threshold reaches it -- rebuilding earlier lowers the garbage term and nothing else, rebuilding later raises it. The plan said in advance what to do if this happened, which was to write it down rather than tune, and to name incremental compaction through a doc-id-to-offset indirection layer as the successor. Recorded, with its cost: a second copy-on-write B+tree per collection, a second random read on point lookup, and it undoes A3. A second lever is named that the plan had not: 52% of the steady-state file is space the database owns and is not using, so returning it to the filesystem is worth more here than reclaiming harder. It needs the file never to shrink below what the fallback generation references, which is its own crash-safety pass. D7.4's 1.65x for the delete line is corrected to 1.94x, and the correction is the harness rather than a regression -- the same 1.94x comes out of the binary that predates any of this work. The old ad-hoc version sampled ids to delete blindly, which re-picks dead ones, so it deleted fewer documents than it inserted and measured a collection that was quietly growing. The update line reproduces D7.4 exactly, 2.46 against 2.47. 200-byte documents reclaim nothing, exactly as forecast, and the forecast being written down beforehand is what makes that a result instead of a disappointment. 3.93x on both binaries. Also noted, because the number invites misreading: at that document size the two index trees are comparable to the documents themselves and the file is already 2.18x before any churn -- index structure, not slab garbage.
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257 lines
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# M0 gate results — mmap + WAL storage foundation (PLAN D7)
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#
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# Machine: Apple Silicon, macOS 25.5.0, 16 KiB system pages, APFS.
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# Server: MultiforaDB at the commit named below, ReleaseFast.
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# Driver: mongodb@7.5.0 (pinned in tests/e2e/package-lock.json).
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# mongod: 8.3.7, for the parity rows.
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#
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# Read this alongside PLAN.md §5. Every number here is reproducible with the
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# command printed under it; where a gate was not met, the number is recorded as
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# measured and the reason is stated rather than the workload being tuned until
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# it passed.
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[D7.1] unit tests, ReleaseFast and ReleaseSafe
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zig build test -Doptimize=ReleaseFast 122/122 pass
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zig build test -Doptimize=ReleaseSafe 122/122 pass
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zig build fuzz fuzz_split, spill, spill2, stress clean
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Both modes matter: `protect_stable` (the mprotect belt over the published
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image) is comptime-off in ReleaseFast, and `std.posix.mprotect` not existing
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in Zig 0.16 was a ReleaseSafe-only compile error.
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[D7.2] end-to-end suites — all green
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reproduce: zig-out/bin/multiforadb --port 27020 --db /tmp/mfdb-e2e.log \
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--ttl-sweep-secs 1 & then node tests/e2e/<suite>
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e2e.js CRUD, operators, aggregate, errors 35/35
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e2e3.js secondary indexes: unique/sparse/compound 16/16
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e2e4.js TTL indexes: expiry and rejected specs 17/17
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e2e5.js miscellaneous command surface 3/3
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e2e2.js concurrent, 4 writers + 4 readers 2/2
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e2e2.js crash-a / crash-b (kill -9, then verify) 1/1 then 3/3
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e2e6.js compaction and log growth (own server) 72/72
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[D7.3] large-collection smoke — big.js
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reproduce: node tests/e2e/big.js --size 20g --doc-size 16k
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20g run 4g run
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documents 1,310,720 262,144 (x 16 KiB)
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live data 21.47 GB 4.29 GB
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data file 21.75 GB 4.35 GB (+1.3%, +1.4%)
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log file, min -> final 16 B -> 2.5 MB 16 B -> 7.7 MB
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bulk insert 411.0 MB/s 560.3 MB/s
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peak server RSS during load 18,492 MB 3,318 MB
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kill -9 then reopen 0.5 s 0.5 s
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RSS after reopen 237 MB (1.1%) 130 MB (3.0%)
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count after restart 1,310,720 OK 262,144 OK
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last doc intact after restart payload 16254B OK
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kill -9 after 200 acked writes 200/200 200/200
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This is the milestone's central claim, measured: an open costs the working
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set, not the size of the database, and it no longer replays the whole log.
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Reopen is flat at 0.5 s from 4 GB to 21.5 GB, and RSS after reopen falls as a
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*share* of the data as the database grows — which is what "RSS = working set"
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has to mean to be worth anything.
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Before M0 the same shape of run reported 523 MB resident after reopen for a
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512 MB database, because recovering each document's `_id` meant reading every
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document at open. That scan is what the mmap foundation deleted.
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Two other things the 20g run shows, honestly. Peak RSS during the *load* is
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18.5 GB: writing 21 GB touches 21 GB of pages and the kernel keeps them until
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it needs the memory, so a bulk load is not where the mmap win shows up. And a
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cold full scan of 21 GB costs ~55 s — countDocuments, the range scan and the
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unindexed updateMany all land there, ~390 MB/s off the disk — which is correct
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and is the reason M1's cursors and index-only paths matter.
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[D7.4] churn gate — doc/slab garbage (PLAN amendment A2 retargets D6.2 here)
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40,000 x 16 KiB documents (655 MB live), one secondary index, steady state
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measured as data-file size / live data after the ratio stopped moving.
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before the fixes after
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delete half and refill, 6 rounds 4.10x, climbing 1.65x, flat
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random $set over 5x the collection 3.58x, climbing 2.47x, flat
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"Climbing" is the whole finding: nothing was being reclaimed at all. Three
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bugs, all fixed in `db/pager: reclaim what churn abandons` — a compaction
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trigger that had read `log.data_bytes` since before the log was truncated at
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every checkpoint, a numeric stable mark that made recycled pages look
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published, and a first-fit free list that let one-page requests dismantle
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the extents. A fourth fix (a rebuild publishes twice, so the space it frees
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is reusable immediately) took the interleaved case from 3.58x to 2.47x.
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The gate hoped for ~1.3x and this is above it, structurally: a rebuild needs
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a whole second copy of the live data before the first can be freed, and
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two-generation retention holds the old copy through two more publishes. The
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gate's purpose was to decide whether doc-level free lists are needed after
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M0. They are; that is an M1 item. What M0 owes is a bound, and there is one.
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[D7.5] benchmark parity vs the pre-mmap engine
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reproduce: bash tests/e2e/bench-run.sh 1g 16k "1 4 8 16 32"
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baseline: tests/e2e/results/phase8.txt (c8d547f, all-in-RAM engine)
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M0: three runs, tests/e2e/results/bench-2026080{3-223947,3-225128,3-225322}.txt
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Read the range, not a single delta. Two consecutive runs of the *same* binary
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moved the sub-10 ms rows by 27-51% on this machine, so any one comparison
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reads whatever the noise did that minute. Best-of-three against the baseline:
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row pre-mmap M0 min..max best
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insertOne (sequential) x200 0.20 ms 0.20..0.22 ms +0%
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bulk insert throughput 732.4 MB/s 463.4..555.5 MB/s -24%
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createIndex({k: 1}) 74.4 ms 27.9..28.9 ms -62%
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countDocuments({}) 3.1 ms 2.6..3.6 ms -16%
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findOne({_id: <ObjectId>}) 0.59 ms 0.60..0.80 ms +2%
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findOne({k: 500}) (indexed) 0.56 ms 0.54..0.73 ms -4%
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find({p: {$gte,$lt}}).count() (scan) 13.0 ms 11.2..14.5 ms -14%
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find({}).sort({_id:-1}).limit(20) 2.2 ms 1.5..1.9 ms -32%
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find({}, {proj}).limit(1000) 3.5 ms 3.6..3.8 ms +3%
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aggregate $group by k 8.3 ms 7.4..11.2 ms -11%
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updateOne({_id}) x50 0.14 ms 0.15..0.18 ms +7%
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updateMany({k: 7}, {$inc}) 1.9 ms 1.9..2.0 ms +0%
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deleteOne({_id}) + insertOne 0.58 ms 0.63..0.69 ms +9%
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node client RSS 158 MB 150..163 MB -5%
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concurrent durable insertOne, docs/s:
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clients 1 8,435 7,709..8,373 -1%
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clients 4 22,480 20,122..20,880 -7%
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clients 8 25,920 26,210..26,349 +2%
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clients 16 31,079 27,794..29,594 -5%
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clients 32 34,041 32,235..32,817 -4%
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One reproducible regression: bulk insert, -24%, steady across all three runs.
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This is PLAN risk 1 exactly as written -- document bytes now reach the disk
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uncompressed in the data file on top of the LZ4 log, and that writeback
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bandwidth is new. Every other row is inside the run-to-run spread. The gate
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as stated was "no phase8 row regressed"; it is met for the read and latency
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rows and not for bulk load, which is the trade the milestone makes and which
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risk 1 anticipated. Untried mitigations, in the order worth trying:
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MADV_HUGEPAGE / a larger growth chunk, and not writing doc bytes twice
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(log and slab) for a bulk path that could log an extent reference instead.
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createIndex at -62% is the other reproducible number, and it comes from the
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same change: a bulk build now packs pages in the mapping instead of growing
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an ArrayList.
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[D7.6] MongoDB spec-test scorecard
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reproduce: bash tests/spec/fetch.sh && node tests/spec/run.js --scorecard
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total 131 pass 161 fail 195 skip 175 files 0 errored
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Byte-identical to the scorecard recorded before the storage rewrite. That is
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the intended result and it is worth stating plainly: M0 replaced the document
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store, the node arena and the overflow slab, added copy-on-write, a watermark
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and a checkpoint, and moved every index leaf's payload -- and changed no
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observable CRUD or aggregate semantics.
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# WHAT THE GATES FOUND
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# Five bugs, none of which any unit test or e2e suite had reached:
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# 1. The compaction trigger had been dead since commit 14 (log truncation
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# zeroes the counter it gated on). Nothing reclaimed doc-slab garbage.
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# 2. `page_mut_cow` asked `p >= stable_pages`, which is false for a recycled
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# page, so every write to one copied and freed it again.
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# 3. First fit let copy-on-write's one-page requests shave the extents the
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# doc slab needs, so the free list drained every generation and the file
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# grew anyway.
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# 4. A rebuild's freed space took two unrelated checkpoints to become
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# reusable, so the next rebuild grew the file instead of reusing it.
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# 5. `reserve_pages`' promise was a single counter on the pager. Two upserts
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# on different collections release it independently, so the first to
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# finish revoked the second's promise mid-write -- aborting the server at
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# four concurrent clients, on the first concurrent benchmark since the
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# data file landed. PLAN risk 3, whose mitigation was never built.
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# Four of the five are invisible without a workload that runs long enough to
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# reach a steady state, or wide enough to have two writers. That is the
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# argument for keeping both the churn gate and the concurrent benchmark in the
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# gate list rather than treating them as optional.
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#
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# ONE COMPATIBILITY GAP FOUND HERE, FIXED AFTER THE GATE
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# `update.apply` rejected any update document whose first key was not `$`, so
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# replacement-style writes -- replaceOne, findOneAndReplace, bulkWrite's
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# replaceOne -- failed with "bad update". Found while building the churn
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# workload, out of scope for a storage milestone, and fixed immediately after in
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# `update: replacement-style writes` and `db: a write that changes nothing is
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# not a write`. The scorecard above is the M0 figure and is left as measured;
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# those two commits took it to 163 pass / 129 fail, and `tests/spec/scorecard.txt`
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# always holds the current one.
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# ===========================================================================
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# M1 — doc-level free list (PLAN amendment A5)
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# ===========================================================================
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#
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# Same machine, same driver. Server at the M1 commit named per block,
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# ReleaseFast. These are the numbers D7.4 said an M1 item owed.
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[M1.1] churn gate — the doc-level free list
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reproduce: node tests/e2e/churn.js --docs 40000 --doc-size 16k --index \
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--mode delete-refill --rounds 6
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node tests/e2e/churn.js --docs 40000 --doc-size 16k --index \
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--mode update --multiple 5
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baseline: the same harness against the end-of-Stage-2 binary (e416ad1),
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which has no reclamation and no `multifora` section.
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The harness is committed this time (`tests/e2e/churn.js`), which is half the
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point of the block: D7.4's numbers were real and unrepeatable.
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Stage 2 M1 target
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delete half and refill, 6x 1.94x 1.94x <= 1.45x NOT MET
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random $set over 5x the coll. 2.46x 2.46x <= 1.60x NOT MET
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Both flat, drift +0.00x over the last three rounds.
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D7.4 recorded 1.65x for the delete line. This harness reads 1.94x for the
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*same binary* D7.4 was measured against the descendants of, so that gap is
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the harness, not a regression: the ad-hoc version sampled ids to delete
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blindly, which re-picks already-dead ids, deletes fewer than it inserts and
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measures a collection that is quietly growing. The update line reproduces
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D7.4 exactly (2.46 vs 2.47).
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THE RATIO DID NOT MOVE AND THE MECHANISM WORKS. Both are true, and the
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counters are what separate them:
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round 6, update line: reclaimed 934.0MB dead 83.9MB
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allocTail 1523.5MB freeReady 797.0MB
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inUse 1.16x file/live 2.46x
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Reclamation returned 934 MB over the run and the collection is occupying
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1.16x its live data. What 2.46x measures is the data file's high-water mark,
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and the file never shrinks. The mark is set once, in round 1, by the one
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thing reclamation cannot avoid: a rebuild needs a whole second copy of the
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live data before the first copy can be freed. 626 MB live + the garbage
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standing at the moment it fires + 626 MB of copy is the number, and it is
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reached before any free pool exists to build the copy out of.
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So the floor for a rebuild-based design is ~2x, and no threshold reaches it.
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Rebuilding earlier lowers the garbage term and raises nothing; rebuilding
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later raises it. The plan anticipated this exact outcome and said what to do
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about it, which is to write it down rather than tune: the remaining lever is
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incremental compaction -- a doc-id-to-offset indirection layer, so a rebuild
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moves documents without a second copy of everything. That is amendment A5's
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successor and it is a milestone of its own, not a knob.
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A second lever, cheaper and not attempted: give free space back to the
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filesystem. `freeReady` stands at 797 MB with `allocTail` flat, so 52% of the
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file is space the database owns and is not using. Returning the tail-adjacent
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part of it needs the file never to shrink below what the fallback generation
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references, which is a crash-safety argument and its own design pass.
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What did change, and is the reason the mechanism is worth keeping:
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delete-refill, 12k x 16 KiB reclaimed 1 MB -> 256 MB (six rounds)
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The first figure is what reclamation achieved before `compact` was made to
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checkpoint before it copies. A checkpoint is what reclaims and a checkpoint
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is armed by log volume; a delete logs only an `_id`, so deleting half a
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collection moved the log by a couple of megabytes, no checkpoint ran, and the
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rebuild got there first every time and reset the window map it would have
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used. The harness found that on its first serious run, which is the argument
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for committing it.
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[M1.2] churn gate — 200-byte documents
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reproduce: node tests/e2e/churn.js --docs 150000 --doc-size 200 --index \
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--mode delete-refill --rounds 4
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Predicted in advance, in the plan, as a pass rather than a fault:
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reclaimed 0.0 MB over four rounds, exactly as forecast.
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ratio 3.93x on both the Stage 2 binary and M1 -- identical, flat.
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Reclamation hands back whole system pages. A 16 KiB page on this machine
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holds ~70 documents of 200 bytes and the chance that all 70 are dead at once
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under uniform deletion is nil, so nothing is ever handed back. The forecast
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said the ratio would not improve and the counters would show a mechanism
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that correctly does nothing, rather than one that silently misfires; that is
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what they show.
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Read the ratio on this line with care. `live` counts document bytes, and at
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200 bytes the two index trees are comparable in size to the documents
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themselves -- the file is already 2.18x at load, before any churn. That
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overhead is index structure, not slab garbage, and it is not what this gate
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is about.
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The payoff of window reclamation scales as doc_size / map_align, so a 4 KiB
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system page (x86-64 Linux) reads four times better on the same code. Every
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number in this file is Apple Silicon with 16 KiB pages.
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