_id uniqueness was a `coll.docs.contains` probe. The docs hashmap is going
away (PLAN A3), so it has to move to the _id_ tree -- and the tree answers
better, because it is keyed on bson.encode_key, which is canonical where
serialize_value is not. int32 1, int64 1 and double 1.0 are now one _id, as
they are in MongoDB (A4).
_id_ is built and checked first, so a write violating both it and a unique
secondary reports _id_, which is what MongoDB reports. It returns
error.DuplicateKey with `dup_index` left null, which is exactly what
commands.zig's E11000 rendering already treats as "the _id_ index", so the
wire-visible message is unchanged and that file needed no edit.
check_unique's exclude-self became optional and is null on an insert. That was
a latent bug of its own: a replace must ignore its own existing entries, but an
insert has none, and passing the document's id there hides a collision whose
entry carries that same id -- precisely the case _id_ exists to catch. Only
_id_ could reach it, since a secondary collision is between different
documents.
Two corrections found while doing this, both worth reading:
PLAN A4 claimed a database already holding {_id: int32 1} and {_id: int64 1}
loses one on reopen. It does not. Replay evicts through the docs map, keyed on
serialize_value, so both survive; the tree is bulk-built afterwards with
enforcement off, which tolerates duplicate keys and warns. The loss arrives
only with the commit that drops the map, and that is where it needs a
pre-flight scan. Amended.
dispatch_insert asserted only `ok: 1`, but a rejected document comes back as a
writeError alongside it -- so the mixed-type corpus silently shrank from ten
documents to nine when _id_ became unique, and every test over it still passed.
The helper now rejects writeErrors and asserts the inserted count; it caught
the shrink immediately. The corpus keeps an int64 _id on a distinct value, and
the collision it used to stand in for is asserted directly.
Also adds Index.lookup_exact, which the commands that currently probe the docs
map will need. Exact byte equality rather than cmp_prefix, because {a: 1}'s
encoding is a proper prefix of {a: 1, b: 2}'s and a prefix match would claim a
document is present when it is not.
Mutation-checked, all three red: unique=false on id_index; exclude=id_key on
insert; eql -> cmp_prefix in lookup_exact.
29 KiB
PLAN — from MVP to a full-fledged embedded MongoDB-compatible database
Status: design agreed (decision record below). Next action: implement milestone 0 (mmap + WAL storage foundation). This document is the single source of truth for the project's direction; every milestone starts by re-reading it. It is intentionally self-contained so work can continue across sessions/agents without this planning conversation's context.
The current engine is documented in README.md; the completed
performance work (B+tree, ordered _id index, compressed log, byte
storage, decomposed locks) is written up in ROADMAP.md.
Both stay current; this file adds the forward plan.
1. Goal and constraints
Build on the existing MVP a full-fledged embedded document database that is maximally MongoDB-compatible, holding tens of GB with excellent performance on ordinary machines.
- Embedded means: a host application runs the engine in-process; real
MongoDB drivers (
mongosh, Node driver, PyMongo, …) connect over TCP (or a unix socket) to a server the host starts. The engine is a library (src/lib.zigalready is one);src/server.zigis a thin front-end. A stable C API is a later layer — the architecture must keep that seam clean (D1). - Maximally compatible is measured objectively: the official MongoDB JSON specification test suites are the semantic gate, layered on top of the existing hand-written e2e suites, which cover what the spec tests do not (crash durability, compaction, TTL, lifecycle) (D2).
- Tens of GB forces a disk-backed engine: the current all-in-RAM model costs ~1.5-2x data size in RSS (5 GB → 6-7 GB RAM), which is out of scope for the target. Storage must therefore move to disk while keeping the engine's behavior identical (D3, D4).
- Excellent performance is guarded by a benchmark-parity gate: no existing benchmark row may regress against the recorded phase8 baseline (D7).
Out of scope for "full-fledged v1" (explicit, reconsidered only later)
- Replica sets, sharding, Atlas Search, time-series collections.
- Text and geo indexes (2d / 2dsphere). Unique / sparse / TTL / compound / hashed / partial are the index surface.
- Full ICU collation — only the
simplelocale and a hand-rolled subset. - OP_COMPRESSED (deferred to the last milestone; drivers negotiate and tolerate refusal).
- Multi-process access to one data directory (like MongoDB, single-process only; no file locking).
- GridFS needs no engine work: it is client-side and works over the wire protocol once cursors/aggregation are in place.
2. Decision record
D1 — Embedding model: in-process server now, architected as a library + C API later
The engine stays a library; the server is a thin front-end (177 lines today). A host app starts the engine and runs the accept loop on its own thread (or a unix socket). Compatibility is exercised through real drivers. A stable C API is deliberately a later layer, not a current requirement — a bespoke API can never be "MongoDB-compatible" anyway; only the wire protocol can. The engine's public surface must stay clean enough that the C API can be bolted on without a redesign.
D2 — Compatibility yardstick: official spec tests + own e2e (hybrid)
- Gate for command semantics: the official MongoDB JSON spec tests (github.com/mongodb/specifications) — crud, aggregate, sessions, transactions, change streams, gridfs, collation (subset). This turns "maximally compatible" into a concrete list of test files.
- Runner: Node-based (the official
mongodbdriver is already a dev dependency). Pin both a specific commit ofmongodb/specificationsand a specific driver version (lockfile). - Scorecard: a committed file —
tests/spec/scorecard.txt, with the runner and its pin intests/spec/(seetests/spec/README.md) — holding per-file pass/fail/skip counts and every non-passing case with its reason, updated every milestone. Objective progress, mirroring how benchmark results are already recorded. Two properties it must keep, or the number flatters the engine: nothing unimplemented is ever counted as a pass (it is a SKIP with a reason), and the one assertion class the runner does not yet check —expectEvents, i.e. command monitoring — is disclosed at the top of the file, sopassreads as an upper bound until M1 wires events up. - Own e2e stays: crash pair, kill -9, compaction, TTL, concurrent clients, lifecycle (e2e.js … e2e6.js). The spec tests do not cover these.
D3 — Target scale: tens of GB → disk-backed engine required
All-in-RAM is ruled out at the target scale. The spec tests do not require bounded memory — MongoDB itself is not memory-bounded (WiredTiger caches ~50% of RAM) — but the embedded product requirement does. This decision drives D4 and the milestone order (D5).
D4 — Storage architecture: mmap data file + existing log as WAL
Amended 2026-08-03 (see "Amendment A1" below): the checkpoint requires copy-on-write. The rest of this decision stands as written.
The data file holds the engine's structures as mmap'd regions; the existing append-only log remains the source of truth (WAL) with a lagging checkpoint:
- Documents live in a slab; B+tree nodes live in a flat u32-addressed arena with an overflow slab for long keys. u32 addresses are file offsets: on-disk format == in-memory format, no serialization on page-in. (The ROADMAP chose the flat node array and the slab precisely so this checkpoint story works.)
- Caching and eviction are the OS page cache's job (LMDB-style). RSS = working set, not data size.
- The log keeps its exact record framing, torn-tail handling, group commit
and fsync-before-ack. The checkpoint may lag: on open, map the data file
and replay log records with seq > watermark.
Engine.apply_recordis already idempotent. - No page below the last watermark's allocation mark is ever stored into. A mutation that would dirty such a page copies it to a freshly allocated page first, and the watermark write is the atomic switch to the new set of pages (Amendment A1). This is the premise the crash-recovery invariant below actually rests on.
- The in-memory docs hashmap is dropped. At tens of GB it costs ~64-100
bytes/doc (10+ GB of RAM at 100M docs). The ordered
_id_B+tree becomes the primary lookup; scans become index-ordered. Trap: the B+tree leaf has nowhere to put a document's slab offset — see Amendment A3, which supersedes the "entries must own their key bytes" framing. - Crash-recovery invariant, to hold absolutely: the checkpoint (data file) never describes a state ahead of the durable log tail (D6).
D5 — Sequencing: narrow mmap foundation first, compatibility after
Milestone 0 is the riskiest technical piece (it touches every data structure) and everything later — cursor internals (offsets vs pointers), transactions (undo/COW), change streams (oplog tagging) — is built on top of it. Building compatibility on the in-memory engine first would mean writing those features twice. Therefore: M0 = narrow mmap+WAL foundation, scoped tightly (below), with the spec-test runner built in parallel (it is independent); all compatibility features land on the final substrate.
D6 — Foundation internals (agreed details for M0)
- One data file + the existing log. Regions inside the data file: header/metadata, B+tree node arena (+ overflow), doc slab (8 MiB segments, as today). One file keeps backup/UX simple; growth is ftruncate + remap (see 4).
- Page allocation: a free list is a prerequisite (amended — see
Amendment A2; this item previously said "start with abandon semantics,
a freelist is defense-in-depth"). Copy-on-write abandons every node page
it touches in an epoch, every epoch, so a write-heavy workload grows
the file by
epochs × touched_setwithout bound. The free list releases pages with a two-generation delay, which also keeps generation N-1's image intact and usable as a recovery fallback. The churn gate stays, retargeted at document garbage in the slab: after a 10-20 GB load with an index and ~50% churn (delete+reinsert), the data file must be ≤ ~1.3x the live data. Dead document bytes are reclaimed only by a full rebuild (D6.6/§5), never by a checkpoint, because index leaves hold physical slab offsets. - Watermark: double-buffered header slot (two 4 KiB slots, generation + checksum; pick the newer valid one) so a torn header write can never advance the watermark past the durable log tail. Checkpoint protocol, given the COW premise of D4 (no page below the last watermark's allocation mark has been stored into): snapshot collections (existing compaction machinery) → msync + fsync data regions → write the catalog into freshly allocated pages, fsync → write watermark → fsync → truncate log → advance the stable mark and rotate the free lists. The watermark equals the group-commit sealed seq; it never moves past the durable log tail. The single load-bearing ordering edge is that the watermark write happens strictly after the data-page msync/fsync: the watermark is a promise that every page it describes is on disk.
- File growth = ftruncate + remap. u32 offsets are file offsets, not pointers: even if remap moves the base, structures are unaffected. Reserve address space for tens of GB (64-bit, MAP_NORESERVE).
- Single-process only (documented; no file locking).
- Backup story (a feature milestone, but the layout must not block
it): a
backupcommand (checkpoint → consistent snapshot → copy), likesqlite3_backup. Raw file copies are not consistent while the checkpoint lags.
D7 — Milestone 0 acceptance gate
- Unit tests green in ReleaseFast and ReleaseSafe (existing discipline).
- All existing e2e green unchanged: e2e.js, e2e2.js (concurrent + crash pair), e2e3.js, e2e4.js, e2e6.js — the mmap engine is a drop-in replacement; no semantic regression.
- Large smoke: 20-30 GB load via big.js; RSS ≈ working set, not data size; reopen in seconds (replay from checkpoint must beat today's full replay); kill -9 mid-write + reopen safe.
- Churn gate (D6.2).
- Benchmark parity: no phase8 row regresses (compare-run.sh + concurrent.js) — the guardrail for "excellent performance".
- The spec-test runner exists and runs the crud + aggregate suites (red is fine at M0; it is the harness), scorecard file committed.
D8 — Deferral policy
Deep design of cursors, the aggregation expression engine, transaction snapshot isolation, and change-stream resume tokens is deferred to their own milestones, when the substrate (mmap engine) is real — designs on paper now would be for the wrong data model. Each such milestone gets its own design review before implementation.
D9 — Working mode
This plan is the shared context. Milestones proceed one at a time; each starts by re-reading this document; the scorecard and benchmark results are committed per milestone so progress is verifiable by any agent in any session.
2.1 Amendments
Decisions D1-D9 were agreed before the M0 implementation review. That review found three of them wrong or incomplete. The originals are left in place above with pointers here, so a future session can see what changed and why rather than reading a rewritten history.
Amendment A1 — the checkpoint requires copy-on-write (amends D4, D6.3)
D4 as written is unsound. The doc slab and the overflow slab are
append-only, so replaying the log over them repairs whatever the checkpoint
missed. B+tree node pages are mutated in place. After a crash the file
holds an arbitrary mix of written-back and not-written-back pages; a tree
with half its dirtied pages persisted is not a tree, and replaying upsert
records into it does not repair it. There is no fallback either, because
D6.3's protocol truncates the log — below the watermark the data file is the
only copy.
So the data file must be a consistent snapshot at the watermark, which forces shadow paging: copy-on-first-touch above a stable mark, with the watermark write as the atomic root switch. LMDB's scheme, minus MVCC, plus this project's WAL.
Recovery is then image_G + replay(seq > W_G) at every crash point, and it
holds only because no page in image_G was ever stored into. Consequence
for the hot path: zero msyncs between checkpoints (dirty pages may sit
in the page cache indefinitely; the kernel may write any of them back at any
time, and both outcomes are fine), so the write path keeps exactly one
fsync — the WAL's, in Engine.commit. Exactly one msync per checkpoint,
ordered strictly before the watermark write.
A knock-on: node ids cannot be page numbers. Node.parent, next,
prev and Slot.extra are back-pointers by id, so COWing a page would
force its siblings and its whole subtree to COW as well. A small in-RAM
id -> page table per index, written wholesale at each checkpoint, keeps
every persisted id at its exact current width and meaning and gives COW a
single pointer to fix. It costs one dependent load per node access and
4 B/node (~5.6 MB at 100M docs) against the 64-100 B/doc hashmap being
deleted. Dropping the back-pointers for an LMDB-style cursor path stack is
the better long-term shape and hands M1 its cursor stack for free — it is
the right post-M0 A/B, not an M0 prerequisite.
Alternative considered and rejected: a dirty flag plus a full rebuild on
unclean shutdown (no COW, no free list, much less code). Rejected because
every kill -9 would then cost a full log replay — minutes at 20-30 GB,
against D7.3's "reopen in seconds" — and the log could never be truncated,
since a full rebuild must always remain possible.
Amendment A2 — the page free list is a prerequisite (amends D6.2)
Follows from A1; D6.2 is rewritten in place. The "abandon semantics are fine, a freelist is defense-in-depth" analysis was about document garbage, where it is correct. COW garbage is different in kind.
Amendment A3 — the trap is the leaf payload, not key ownership (amends D4, §5 step 4)
"When the map goes away, entries must own their key bytes" describes work
that does not need doing: Index.store_record already copies both the key
and the payload into the node page or the overflow slab, and Entry.key is
already an owned dupe. The real problem is that a leaf record has nowhere
to put a document's slab offset — Slot.extra is the payload length for a
leaf and the child node id for an internal separator.
Resolution: a leaf record becomes key ++ offset_le, so extra is always
8 and every byte-accounting site (fits, record_cost, slot_cost,
balanced_cut, repack_keep_prefix) is unchanged. Entry.id is deleted
rather than re-owned: every entry one document contributes shares one
payload, so the offset belongs on the mutation call, which also makes it
impossible to confuse the old offset (unique-check self-exclusion, entry
removal) with the new one. Records get smaller, and lookup_eq /
lookup_range come to yield u64 values that are immune to tree mutation
instead of byte slices that alias tree pages.
Do this for secondary indexes too, not just _id_: it deletes the
_id-to-offset hash lookup on every index-driven query outright instead of
replacing it with a B+tree descent, and it is free on the write path because
a replace already removes and reinserts every entry in every index. The
price is the invariant now recorded in §4: a checkpoint may never renumber
slab offsets.
Amendment A4 — _id uniqueness becomes canonical
_id uniqueness is enforced today by the docs hashmap, keyed on
bson.serialize_value, under which int32 1, int64 1 and double 1.0
are three distinct documents. The _id_ B+tree is keyed on
bson.encode_key, which is canonical, so those three collide — as they do
in real MongoDB. Making _id_ a unique index is therefore a
compatibility improvement, and it is what the guard comment at the top
of src/index.zig anticipated when it fenced off the old map fast path.
Migration hazard, accepted deliberately: a database written by the current code may legitimately hold two such documents. Agreed with the human rather than assumed.
Corrected while implementing: the hazard does not bite when _id_
becomes unique, and the reason matters for sequencing. Replay does not
maintain _id_ entries — apply_record evicts through the docs map, keyed on
serialize_value, and the tree is bulk-built afterwards by
build_all_indexes. That build calls finish_bulk with enforcement off,
which tolerates duplicate keys and already warns ("unique index 'id' has
duplicate keys in existing data"), honouring the "database must always open"
rule. So such a database reopens with both documents intact and a loud
warning, and new colliding inserts are rejected from then on.
The document loss arrives only with the commit that drops the docs hashmap,
because eviction then goes through the canonical tree and the second document
takes the first one's place. That commit is where this needs handling — a
pre-flight scan for compare-equal _ids, refusing to drop the map silently
while any exist — not here.
3. Milestones and gates
| # | Milestone | Scope | Gate |
|---|---|---|---|
| M0 | mmap + WAL foundation | data file format, page/extent allocator, mmap slab + B+tree arena, copy-on-write + page free list (A1/A2), watermark/replay, checkpoint (= compaction repurposed), leaf payload → slab offset (A3), drop docs hashmap, churn measurement | D7 (6 items) |
| M1 | Cursors + wire polish | getMore / killCursors / batchSize; server-side cursor state with idle timeout; sessions plumbing (lsid accepted) as drivers send it; hello advertisement updates; moreToCome on requests (see the bug below); command-monitoring assertions in the spec runner |
crud spec suite green; e2e green |
| M2 | Aggregation expansion | pipeline stages and expression engine (tiered scope defined at M2 design review) | aggregate spec suite green |
| M3 | Update operators + index types | $setOnInsert, $addToSet, $mul, $min/$max, $pop, $pullAll, $currentDate, pipeline updates; partial + hashed indexes | remaining crud coverage; e2e3/e2e4 green |
| M4 | Sessions + transactions | logical sessions, snapshot isolation on the mmap engine, write concern at commit | sessions + transactions spec suites green |
| M5 | Change streams | change feed + resume tokens (likely log-seq based), getMore integration | change-streams spec suite green |
| M6 | Admin/ops commands | dbStats, collStats, serverStatus, ping, buildInfo, listDatabases filters, dropDatabase durability (log it) | mongosh UX smoke; e2e green |
| M7 | Auth | SCRAM-SHA-1/256, user management commands | auth spec suite (subset) green |
| M8 | Collation | simple locale + hand-rolled subset (case-insensitive etc.) |
collation spec suite (passing files) green |
| M9 | OP_COMPRESSED | snappy/zstd codecs, negotiation | driver handshake with compression on |
| — | C API (after M9 or when demanded) | stable C surface over the engine; the seam preserved since D1 | C smoke tests |
Cross-cutting in every milestone: error-code parity with MongoDB for the commands touched (the spec tests assert codes), scorecard + benchmark results committed.
Bug found by the spec harness: $sort in an aggregate crashes the server
Severity: remote, client-triggerable heap corruption. Present at d4c9b04.
Fix this before anything else in M0.
In commands.cmd_aggregate's $sort stage, the branch that materializes a
not-yet-materialized stream builds its list with the reply arena and then
hands it to trees, whose defer trees.deinit(ctx.gpa) frees it with the
gpa:
var all: std.ArrayListUnmanaged(*const bson.Document) = .empty;
for (offs.items) |off| try all.append(arena, try doc_tree(arena, coll, off));
trees.deinit(ctx.gpa);
trees = all; // arena-owned buffer, gpa-freed at scope exit
So the list buffer is freed by an allocator that never owned it. macOS malloc catches it and aborts (SIGTRAP, exit 133) with no panic text, which is why the symptom reads as "the connection closed":
faulting thread: mfm_free <- Allocator.rawFree
<- array_list.Aligned(*const bson.Document).deinit
<- commands.cmd_aggregate
Trigger: any pipeline with $sort and no preceding $group — e.g.
aggregate([{$sort: {x: 1}}]). With a $group first, the stream is already in
tree form, the branch is skipped, and nothing happens. Every existing e2e
aggregate case happens to sort after grouping, which is exactly why this
survived: e2e.js and e2e6.js both use $match + $group + $sum + $sort.
Fix: allocate the list with ctx.gpa (the *const bson.Document values may
stay in the arena — it outlives the command; it is only the ArrayList's own
buffer whose allocator has to match its deinit). Add an e2e case for a bare
$sort pipeline, and mutation-check it by restoring arena on the append.
Bug found by the spec harness: unacknowledged writes corrupt the connection
Recorded here rather than fixed in M0, since it is M1's surface — but it is a correctness bug, not a missing feature, and it is worth doing early because it is a handful of lines.
wire.Message.flags is parsed and stored but never read. A driver sending
an unacknowledged write (writeConcern: {w: 0}) sets moreToCome (bit 0x2)
on the request and does not wait for a reply; the server replies anyway, so
that reply sits unread in the socket and every later command on that
connection reads the wrong one. Reproduced end to end:
acknowledged insert: ok
unacknowledged insert returned: {"acknowledged":false,"insertedId":2}
next command on same connection FAILED: MongoUnexpectedServerResponseError:
BSON element "cursor" is missing
countDocuments read the stale insert reply. So w: 0 — a normal
performance choice — breaks a connection on first use, and it is invisible to
the existing e2e suites because none of them use it.
Fix: when flags & 0x2 is set on an OP_MSG request, run the command and write
no reply. Add an e2e case for it (unacknowledged write, then a read on the same
connection), and mutation-check it by clearing the flag test.
4. Ground rules (inherited and new)
From ROADMAP.md, still binding:
- Measure A/B on one harness. Do not trust the model.
- Mutation-check any test guarding an invariant — break it and confirm it goes red.
- The index invariant is absolute: an index only generates candidates; the full filter is re-applied afterwards. Over-approximating is slow; under-approximating is a wrong answer.
- The database must always open: replay never refuses to start over recoverable damage.
New for the mmap era:
- The checkpoint never describes a state ahead of the durable log tail. Watermark advancement is the last step of the checkpoint protocol, after the data-file fsync.
- No page below the stable mark is ever stored into. Everything else in
the crash story is downstream of this one rule (Amendment A1). It is
enforced structurally by routing every writable page access through a
copy-on-write accessor, and mechanically by
mprotect-ing the stable prefix read-only in ReleaseSafe and test builds so a missed COW segfaults in the suite instead of corrupting a database silently. - A checkpoint never renumbers slab offsets. Index leaves hold physical offsets; only a full rebuild may move documents, and it rebuilds every index in the same pass.
- Index entries carry a slab offset, not a document id once the docs map is dropped (Amendment A3).
- Write-then-extend discipline for mmap: ftruncate before touching new pages; never fault past the end of the mapped file (SIGBUS protection).
- Replay idempotence of
apply_recordis a tested invariant, not an assumption — it is what makes a lagging checkpoint safe. Engine.seqis restored on open asmax(watermark.seq, max replayed record.seq). Today it unconditionally restarts at 0 (db.zig) andapply_recordignoresrecord.seqentirely; harmless without a watermark, silent data loss with one.- A log rewrite never emits a record whose seq is ≤ the data file's
watermark, or the next open discards it. Today's
compact_snapshot_collstamps every re-emitted record with the liveself.seq; the rebuild that replaces it emits an empty log instead.
5. Milestone 0 — work breakdown (where the next session starts)
The original eight-step list is refined into the ordered commit sequence
below (same work, sequenced so that zig build test in ReleaseFast and
ReleaseSafe plus the e2e matrix stay green at every commit). Steps 2-5
exist to shrink step 11, which is otherwise the one unavoidably large
change.
The data file's own format is recorded in src/pager.zig's header comment,
in the style of the log format at the top of src/storage.zig. Its shape:
an array of 4 KiB pages with a single tail-bump extent allocator — page 0
the file header, pages 1-2 the watermark double buffer, pages 3.. data. D6.1
called for a region table, but the region count is dynamic and unbounded
(one node arena per index, one slab per collection), and N contiguous
regions cannot all grow at the tail. With extents there is exactly one
growth path, therefore exactly one place where the write-then-extend
discipline lives, and ls/du stay honest for D6.6's backup story.
| # | Commit | Notes |
|---|---|---|
| 0 | amend this document | Amendments A1-A4 |
| 1 | spec-test runner + scorecard | original step 1, still fully independent |
| 2 | tighten reserve_for's node bound |
n*(depth+2+n/8)+4 demands ~528 MiB of headroom for a 1000-entry multikey batch; free as ArrayList capacity, real file growth once the arena is file-backed |
| 3 | accessors for node pages and overflow bytes | pure refactor over the existing ArrayList; add the missing comptime asserts pinning @sizeOf(Node) == 4096 and @sizeOf(Slot) |
| 4 | heap-allocate Index; move its scratch buffers out |
kills the 5 KB struct memmove in Collection.remove_index that dangles a live Plan.index |
| 5 | _id_ becomes unique; add an exact point lookup |
Amendment A4, including the replay warning and the test-corpus updates |
| 6 | leaf payload becomes the slab offset | Amendment A3; the docs map stays as a shadow cross-check that asserts both agree |
| 7 | streaming candidates + a reverse leaf iterator | a materializing full scan is ~160 MB at the 20 GB gate; cursors are M1 but streaming a scan is required here |
| 8 | src/pager.zig: page allocator, mmap over a fixed reservation |
engine-unused; unit tests only |
| 9 | watermark double buffer, catalog stream, free list | engine-unused |
| 10 | the doc slab lives in the data file | offsets become absolute; the reservation moves ahead of the log append. First measurable point: A/B bulk-insert throughput and RSS here, before the rest depends on it |
| 11 | node arena and overflow live in the data file | 11a overflow, 11b node pages + the id→page table |
| 12 | copy-on-write above the stable mark; two-generation free list | inert while the stable mark is 0, so testable in isolation first |
| 13 | checkpoint + watermark; open from the checkpoint; restore Engine.seq |
log not yet truncated, so full replay stays a live safety net and both paths are exercised |
| 14 | truncate the log after a durable checkpoint | the safety net comes out in its own small commit |
| 15 | compact becomes a data-file rebuild |
compact_snapshot_coll deleted; same tmp+rename+retry shape |
| 16 | drop the docs hashmap | original step 7 |
| 17 | gates | D7's six items; churn gate per amended D6.2 |
M0 is done when D7's six items pass. Two harness fixes are prerequisites for
the gate rather than the work: bench-run.sh copies its report over
bench-latest.txt unconditionally, including after a run that only warned,
so the baseline being defended can be clobbered; and the four B+tree dev
harnesses (spill.zig, spill2.zig, stress.zig, fuzz_split.zig) are in
no build step, so zig build test will not notice an API break in the one
place that fuzzes splits and >1 KB keys.
6. Deferred designs (grill each at its milestone)
- M1 cursors: cursor id allocation, idle expiration, batchSize semantics, getMore against a lagging/compactable engine, cursor state lifecycle across compaction.
- M2 aggregation: stage/expression tiers, which spec-test files are the gate, whether $lookup/$unwind/facet make the first cut.
- M4 transactions: snapshot isolation over mmap (COW vs undo), read concern snapshot, conflict → TransientTransactionError semantics, retryable-writes interplay.
- M5 change streams: resume-token design (log seq), live fan-out, durability of the resume point.
- C API: exact surface (open/close, command exec, cursor iteration, error reporting) — after the compat milestones, on the D1 seam.