--- status: draft title: "iroh-blobs store eval — against the current checkout" last_updated: 2026-10-02 (POC #3 reading; checkout e82cbdc, v0.103.0) --- # iroh-blobs store eval (current checkout) Evaluated against `/workspace/iroh-blobs` @ `e82cbdc` ("Release 0.103.0", 2026-06-15 — the checkout *is* the 0.103.0 release, so alknet's older probe claims about "published 0.103" verify directly against it). Scope: the store layer (`src/store/**`, `src/api/**`, `src/util/**`). The wire surface (tickets, postcard, provider protocol) is out of scope per convention 7 — we are not adopting it. This eval feeds OQ-BL-02 (backend shape), OQ-BL-04 (verification/chunking), and the POC #3 large-blob design. GC mechanics were already verified separately (see phase-0 §Prior art; the gc.rs read predates POC #1). ## The headline: there is no Store trait — and that is instructive iroh-blobs 0.103 has **no `Store` trait at all**. The store API is a message protocol: an enum of RPC requests (`src/api/proto.rs:90-139`, `#[rpc_requests]`-derived `Command`), and each backend (MemStore, FsStore, ReadonlyMemStore) is an *actor* consuming that command set over `irpc` channels. The user-facing `Store` struct is just a client handle; `Store::connect/listen` make the same message enum work over the network. The abstraction is "same messages locally and remote." Lessons for alkblobs: - **The command-enum-as-contract is a working pattern** (it is what makes iroh-blobs' remote/local symmetry possible), but it carries the whole irpc machinery into the store layer and *is* the reason their store is welded to their transport. POC #1's lean `Backend` trait is the smaller hammer for our split: the trait stays dumb (opaque bytes), and any ops surface above it (alkcall) speaks its own protocol. - **Re-borrowed conclusion, not mechanism: per-hash serialized actors.** FsStore runs one serialized state machine *per hash* (entity manager, `src/store/fs/util/entity_manager.rs`) with parallelism across hashes; per-hash state is a `watch::Sender` (cheap snapshots, observable progress, idle-recycled actor pool). This is a genuinely good concurrency shape for Phase 1's sweep-vs-put story: "one writer per content address, readers snapshot-observe" matches CAS semantics naturally. iroh's DeleteSet was already our named prior art; the per-hash-actor adds a second reusable conclusion. ## What the fs backend actually looks like on disk (0.103) ``` blobs.db redb — hash → EntryState (+tags, + inline data/outboard) data/.data complete + partial canonical data data/.obao4 outboard (bao pre-order, 64-byte pairs) data/.sizes4 per-chunk-group size slots data/.bitfield blake3-checksummed postcard bitfield (coverage) temp/.temp staging (must be same-device as data/) ``` - **Entry state machine per blob** (`src/store/fs/entry_state.rs`): `Complete { data_location: Inline|Owned|External, outboard_location: Inline|Owned|NotNeeded }` / `Partial { size: Option }`. The inline/owned split is the small-blob/large-blob dispatch *inside one backend*: ≤16 KiB data lives entirely in the redb `inline-data` row; ≥~1 MiB is data file + outboard file; between, data file + inline outboard. Thresholds are `InlineOptions { max_data_inlined: 16 KiB, max_outboard_inlined: 16 KiB }` (`fs/options.rs:71-78`). - **16 KiB is exactly one bao chunk group** (16 × 1024 B chunks), so every blob ≤ 16 KiB has an outboard of size *zero* — a "small blob" is one redb row keyed by plain `blake3(content)`, no tree material at all (`fs/import.rs:160-221`, `DESIGN.md:71`). iroh couples "hash overhead" and "storage tier" at the same boundary; under our git-oid derivation there is no outboard to elide (whole-blob digest only) and the tier boundary is a pure dispatch choice — POC #3's benchmark says ~128-256 KiB, not 16 KiB (see `poc-largeblob-findings.md`, finding A4). - **Crash-consistency story, borrowed as a conclusion** (`DESIGN.md: 126-142`, "files are hard"): persist data+outboard+sizes *first*, the checksummed bitfield *last*, with truncate-to-zero-on-read marking a bitfile dirty under crash. If the bitfield is missing/corrupt, the entry re-validates by full local hash check. Lazy persistence (on actor idle/shutdown only), never per-chunk fsync. For alkblobs: our put path is *stage-temp → hash → one rename*, which needs no coverage bitfield at all — we only ever need this machinery if we adopt partial/streaming-download entries (range-serve before complete). Recorded as a conditional, like bao. - **Temp-file flow** (<`fs/import.rs`>): byte-stream puts stage to a temp file (after a 16 KiB in-memory peek), path-import reflinks-or- copies (`reflink-copy` crate) to temp, outboard encodes in a second pass, then `fs::rename` atomizes both files before the redb row lands *awaiting* the transaction commit. `ExportMode::TryReference` is the mirror: rename the store's own file into the caller's tree and mark the entry `External`. (TryReference is a neat dedup trick for the appfile/workspace consumer — "move into the store without copying" — Phase 2 note, not Phase 1.) - **Metadata batching**: the redb actor batches read commands (10k msgs / 1 s window) and write commands (1000 / 500 ms) into single transactions (`meta.rs:785-856`) — "the secret to fast download speeds is to not touch the metadata database at all" (`DESIGN.md:61`). sqlite's WAL gives comparable batching for free at the smaller scale our store keys live at; the *conclusion* (batch metadata writes, never per-blob-fsync) transfers. ## Verification & chunking (OQ-BL-04 input) - Fixed 1024 B bao chunks, grouped 16-wide (iroh `IROH_BLOCK_SIZE`, `store/mod.rs:17-18`); no content-defined chunking exists in-tree. - Outboard encoding is a **custom single-pass encoder over blake3 hazmat APIs** (`src/util.rs:224-336`) — post-order chunk iteration, `set_input_offset`/`finalize_non_root` merges, buffered 1 MiB reads. iroh wrote their own rather than using bao-tree's `CreateOutboard`; the *shape* of "encode outboard while streaming through chunks once" is the pattern any chunk-tree encoder follows, bao or CDC. - **Get verification is subtree-local**: `export_bao(hash, ranges)` runs `traverse_ranges_validated` and lazily reads only the parent pairs the requested chunks need. Byte-range `export_ranges` is deliberately *unvalidated* (bitfield-superset check only; `DataReader` is documented "a reader for the unvalidated data file", `fs.rs:337-343`). - **For our canonical digest this exposes a hard fact** (POC #3 finding A2, reproduced independently): the git-blob derivation verifies *the whole content* (preamble includes the length). There is no sub-range relationship between `blob \0+content` and any slice of it, so range reads under our hash cannot be verified against the blob's own digest, period. iroh gets range-verification *from the chunk tree*, not from the hash algorithm. If ranged transfer ever needs per-range verification, the options stay as OQ-BL-04 lists them (caller-carried slice digests = transport-integrity only; conditional chunk-tree encoding; or backend-native). POC #3's verdict: the local-store case doesn't need it (pages fail via EIO, git blobs self-verify on read); the *networked large-blob* case is the only real consumer of a chunk tree — which matches the "conditional, confined to the encoding layer" posture already recorded. ## Small-blob handling & streaming (POC #3 design input) - **Streaming put exists in three shapes**; none hashes on the fly: `add_stream` (bidirectional `ImportByteStream` channel; stages to memory then temp file, computes outboard in a **second pass**, `fs/import.rs:290-352, 372-419`), `import_bao` (pre-verified items, no re-check), and `import_bao_reader` (network decode-verify-push, `blobs.rs:446-488` — the provider's push handler). There is **no put-from-`AsyncRead` API**; callers adapt to `Stream>`. - POC #3 found the same constraint from our side *before* reading this in detail: the git preamble needs the length at hash time, so an unknown-length stream *must* stage-then-hash. iroh's architecture arrives at the same stage-then-encode shape (for bao-tree reasons instead). **The one-pass alternative exists only for known-length puts** — which is exactly the git/alkgit dominant case (a staged file has a stat; a protocol offer carries a size). Unknown-length remains the two-pass shape for both crates; POC #3's finding A1 records why (and that the second pass can read from the *staged file*, so it's page-cache-cheap, not network-repetitive). - **Serve-while-persisting is not a bolt-on in iroh — it is the download path**: `get_blob_ranges_impl` opens the import *before* reading from the network and `tokio::try_join!`s the network decode loop with the store import (`src/api/remote.rs:884-944`). POC #3's fanout seam (finding A3) rebuilt this at our layer with a broadcast channel; the mechanism differs (single reader broadcasting vs their per-item verified forwarding) but the conclusion matches: the fetch handler should be "decode-verify → broadcast → (store arm + subscriber arms)", all driven from one receive loop. - **`BlobReader`** implements `AsyncRead + AsyncSeek` built on `export_ranges` per read call (`api/blobs/reader.rs`); seek-from-end is an upstream TODO. Our fs range-read surface covers the same need. ## Performance posture (no in-tree benches; code choices as evidence) No `benches/`, no criterion in the checkout. The perf story is in DESIGN.md + code micro-choices: redb write/read batching; partial entries live entirely outside redb until completion; zero-copy `Bytes` plumbing end to end; reflink-first import/export; 1 MiB copy buffers with `yield_now()` fairness; per-hash channel caps bounding backpressure. The two transferable *conclusions* for us: batch metadata transactions (never per-blob fsync), and zero-copy/`Bytes` at the streaming seams. Our own sqlite-vs-fs numbers are in the POC #3 findings (first-party, measured). ## Do-not-inherit list (re-confirmed against 0.103) - The `Command`-actor + irpc store abstraction (welds store to their transport stack). - redb-specific entry-state modeling if we go sqlite (their tables and `EntryState` postcard encoding are theirs; our sqlite schema is `key → (value, size)` and our dispatch is store-layer policy). - Fixed 1024 B chunk trees as the default granularity (principle 7 already rejects; nothing new in the eval changes it). - Tickets/postcard/provider — out of scope as always. ## What we keep (conclusions only) 1. Per-hash serialized state machines + snapshot-observation for concurrent access (entity-manager pattern). 2. Stage-temp → atomic rename as the universal put commit primitive. 3. Metadata write batching (amortize sync cost). 4. Zero-copy `Bytes` at streaming seams. 5. Serve-while-persisting as the fetch-handler shape (POC #3 validated at our layer). 6. Crash-consistency ordering (data first, coverage/index last, with dirty-marking) — only if partial entries ever exist. 7. The inline threshold concept, re-sized by our own benchmark (~128-256 KiB crossover, git-blob workload) instead of their 16 KiB.