docs: range-read milestone M3 — remote files
README: "Reading remote files" (open_url, the range_server and read_url examples with their real output against the fixtures, h5rs on URLs), the crate in the crate map and the unreleased highlights. CHANGELOG: the clawhdf5-remote crate, h5rs URLs, File::storage and VlResolver::element_in, with the request counts over the conformance corpus (tank, 2026-09-26, the command given). known-issues: the M2 range-read entry updated (the cache now exists; h5rs reads through storage) and a new entry for the remote backends' limits (no Python or browser URLs yet, fixed block size, cloud stores not run against a real bucket, validators, credentials). Design doc: M3 status with the choices that differ from the plan (a crate rather than a clawhdf5-io feature, ureq for HTTP so the default build has no C) and the corpus counts. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
This commit is contained in:
@@ -2,6 +2,62 @@
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## Unreleased
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### Range reads, milestone M3: remote files (2026-09-26)
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- **New crate `clawhdf5-remote`.** `open_url("http://host/file.h5")` gives
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a `clawhdf5::File` (through `File::open_storage`) that reads the file by
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HTTP `Range` requests; `storage_for_url` returns the cached storage to
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read its statistics. Features: `http` (default; `ureq` without TLS, no
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C), `https` (rustls with ring, which compiles C), `object-store` (any
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`object_store` store, pure Rust), `s3`/`gcs`/`azure` (`s3://`, `gs://`,
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`az://` URLs, configured from the environment; object_store's cloud
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clients use aws-lc-rs, C).
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- **`BlockCache`** wraps any `Storage`: aligned 1 MiB blocks (the size
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`docs/design/range-reads.md` §2 measured), LRU with a byte budget
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(64 MiB), the blocks one read misses fetched with one backend
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`read_ranges` call as runs of consecutive blocks (a one-block gap is
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fetched to merge two runs; at most 8 MiB per request). Readers on
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several threads share it without holding its lock across a request, and
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a block being fetched is waited for, not fetched again. A read that
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misses more than half the budget is not kept (a large dataset does not
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evict the metadata). A failed fetch is an error for every reader waiting
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on it and is not cached.
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- **`HttpStorage`**: opening is one ranged `GET` of the first block,
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whose `Content-Range` gives the length. The file is pinned by its strong
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`ETag` (`If-Match`) or else `Last-Modified` (`If-Unmodified-Since`), and
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its length, checked on every response: a file changed while open is
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`RemoteError::FileChanged`, never mixed data. A server that ignores
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`Range` is refused without reading the body unless
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`HttpOptions::allow_full_download`. Connection failures, timeouts,
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`408`/`429`/`5xx` and cut-off bodies are retried with exponential
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backoff; bodies are asked for with `Accept-Encoding: identity` and an
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encoded one is refused. The ranges of one call are fetched in parallel.
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- **`ObjectStoreStorage`** reads one object of any `object_store` store,
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pinned by ETag (else version or modification time) and size. It blocks
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on a small tokio runtime it owns; called from inside another runtime it
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refuses (`RemoteError::Usage`) instead of blocking a worker.
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`open_object(store, path, options)` opens a file through a block cache.
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- Counted on the conformance corpus (tank, 2026-09-26,
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`CLAWHDF5_REMOTE_CORPUS=conformance/.cache/corpus CLAWHDF5_REMOTE_REPORT=1
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cargo test --release -p clawhdf5-remote --test http -- --nocapture corpus`):
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the 621 files that open (254 MB) read over HTTP exactly as through
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`File::open`; opening and listing them all (every group's entries, every
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dataset's shape and type) took 640 requests and 55.5 MB, and then
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reading each file's largest dataset under 64 MiB 96 more requests
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(171 MB in all). Without the cache the same work is 141 936 requests.
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Listing the 7.7 MB IMERG file (file A of the design's §2) takes 2
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requests; the tests hold it to at most 3.
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- **`h5rs` takes URLs** with the new `remote` feature (`remote-https` for
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`https://`): `ls`, `dump`, `stat` and `diff` read by range requests;
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`check` downloads the file whole, since it validates every byte. The
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tools now read through `File::storage` and the format crate's `*_in`
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functions; local output is unchanged.
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- **`File::storage()`** (facade) returns the file's bytes from the
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superblock on (the `as_bytes` view, cache image laid over) as a
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`&(dyn Storage + Send + Sync)` for every backend, so code that parses a
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file itself works on remote files too.
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- **`VlResolver::element_in` / `string_element_in`** (format): the
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`element`/`string_element` lookups over any `Storage`.
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### Range reads, milestone M2: raw data and `File::open_storage` (2026-09-26)
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- **`clawhdf5::File::open_storage(Arc<dyn Storage + Send + Sync>)`** opens
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a file served by any `clawhdf5_format::storage::Storage` and gives the
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@@ -96,6 +96,12 @@ breaking change, are in [CHANGELOG.md](CHANGELOG.md).
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filtered top-k, never slower than unfiltered), and opt-in re-ranking and
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confidence rejection, which used to be reachable only through `ClawhdfBackend`.
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**Remote files (unreleased)**
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- New crate `clawhdf5-remote`: `open_url("http://…")` reads a file on an
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HTTP server (or in S3/GCS/Azure, opt-in) by range requests through a
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block cache, without downloading it; `h5rs` takes URLs with its `remote`
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feature. See [Reading remote files](#reading-remote-files).
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**Tooling**
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- CI now runs the h5py/netCDF4 interop suites for real (they had been skipping
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silently) and runs an aarch64 job for the NEON kernels.
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@@ -450,6 +456,50 @@ Each call changes the file in place (no rewrite) and syncs it. What it
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cannot change safely is refused before anything is written; see
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[known issues](docs/known-issues.md) for the limits.
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### Reading remote files
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[`clawhdf5-remote`](crates/clawhdf5-remote/README.md) opens a file on an
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HTTP server (or, with its `s3`/`gcs`/`azure` features, in an object store)
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without downloading it: the read API is the same `clawhdf5::File`, and
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only the bytes an operation needs are fetched, by `Range` requests through
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a block cache (1 MiB blocks; opening fetches the first one). A file that
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changes on the server while it is open is an error, never a mix of old and
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new bytes.
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```rust
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let file = clawhdf5_remote::open_url("http://127.0.0.1:8000/tall.h5")?;
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let values = file.dataset("/g2/dset2.1")?.read_f64()?;
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```
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To try it without a server of your own, the crate's test server serves a
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directory with range support:
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```bash
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cargo run -p clawhdf5-remote --example range_server -- crates/clawhdf5/tests/fixtures 127.0.0.1:8000
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# in another shell: list the file, read one dataset, print what it cost
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cargo run -p clawhdf5-remote --example read_url -- http://127.0.0.1:8000/tall.h5 /g2/dset2.1
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```
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```text
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/g1 group
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/g2 group
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/g2/dset2.1 dataset [10] F32
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/g2/dset2.2 dataset [3, 5] F32
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/g1/g1.1 group
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/g1/g1.2 group
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/g1/g1.2/g1.2.1 group
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/g1/g1.1/dset1.1.1 dataset [10, 10] I32
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/g1/g1.1/dset1.1.2 dataset [20] I32
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/g2/dset2.1: 10 values, first [1.0, 1.100000023841858, 1.2000000476837158, ...]
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1 range requests (the one at open included), 9968 bytes fetched, 9968 bytes cached
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```
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(`tall.h5` is 9 968 bytes, so the first block holds all of it.) `h5rs`
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built with `--features remote` takes the same URLs:
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`h5rs ls -r http://127.0.0.1:8000/tall.h5`. Plain HTTP builds no C;
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`https://` is the `https` feature (rustls with ring, which compiles C).
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Limits are in [known issues](docs/known-issues.md).
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### Python
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`crates/clawhdf5-py` is a Python package (PyO3 + numpy) that reads HDF5 with
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@@ -678,7 +728,7 @@ let exported = backend.export_markdown("MEMORY.md")?;
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## Crate Map
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```
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clawhdf5 workspace (17 crates, ~86K lines of Rust in src/, ~104K with tests
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clawhdf5 workspace (19 crates, ~86K lines of Rust in src/, ~104K with tests
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and benches; plus libaec-sys, an internal FFI bindings
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crate for the optional szip feature)
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│
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@@ -690,7 +740,8 @@ clawhdf5 workspace (17 crates, ~86K lines of Rust in src/, ~104K with tests
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│ ├── clawhdf5 — High-level API
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│ ├── clawhdf5-netcdf4 — NetCDF-4 support
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│ ├── clawhdf5-accel — SIMD (AVX2, NEON incl. SDOT int8; AVX-512 behind `avx512`)
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│ └── clawhdf5-gpu — GPU compute (wgpu, hand-written WGSL compute shaders)
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│ ├── clawhdf5-gpu — GPU compute (wgpu, hand-written WGSL compute shaders)
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│ └── clawhdf5-remote — Remote files: HTTP(S) range requests, object stores, block cache
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│
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├── Agent Memory
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│ ├── clawhdf5-agent — Memory engine (24.7K lines, 32 modules; chained-CRC WAL)
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@@ -705,6 +756,7 @@ clawhdf5 workspace (17 crates, ~86K lines of Rust in src/, ~104K with tests
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│ └── clawhdf5-wasm — Browser (WebAssembly, wasm-bindgen; read-only)
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│
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└── Tooling
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├── clawhdf5-tools — h5rs: ls, dump, stat, diff, check
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└── clawhdf5-bench — Benchmark suite
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```
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@@ -5,8 +5,10 @@ change. Progress: M0 and M1 are done, and so is M2 (branch
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`feat/p3-m2-raw-data`): every read path of the format crate works through
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`Storage`, v2 B-trees, dense groups and raw data included, and
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`File::open_storage` gives the facade's read API over any `Storage` (see
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`CHANGELOG.md`, "Range reads, milestone M2"). M3 (a remote backend with
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its block cache) is next. Every count in §1–§2 was
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`CHANGELOG.md`, "Range reads, milestone M2"). M3 is done on branch
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`feat/p3-m3-remote`: the `clawhdf5-remote` crate (block cache, HTTP(S),
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object stores) and URLs in `h5rs` (see the M3 status below). M4 (wasm) is
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next. Every count in §1–§2 was
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taken on `tank` on 2026-09-26 at commit `de2a53f`, with the commands given
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next to it. No timing numbers appear here on purpose: the machine was shared
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with other build jobs when this was written.
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@@ -458,6 +460,43 @@ fast path within benchmark noise.
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§2; the page size for paged files; the first block prefetched on open) and
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a request counter exposed for tests and users.
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- Python bindings: `clawhdf5.File("s3://…")` / `https://` through it.
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- *Status 2026-09-26:* done on branch `feat/p3-m3-remote`, except the
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Python bindings, with these choices:
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- A new crate, `clawhdf5-remote`, instead of a `remote` feature of
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`clawhdf5-io`: `open_url` returns a `clawhdf5::File`, and `clawhdf5-io`
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sits below the facade.
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- HTTP(S) through `ureq` (`HttpStorage`), not object_store's HTTP store:
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that one pulls reqwest with aws-lc-rs (C), while plain HTTP through
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ureq builds no C, so it is the default feature; `https` adds rustls
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with ring. S3/GCS/Azure go through `object_store` (`ObjectStoreStorage`,
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features `s3`/`gcs`/`azure`, opt-in because of aws-lc-rs); the
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`object-store` feature alone (in-memory, local files, a store you
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build) is pure Rust. object_store is async: the storage blocks on a
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two-thread tokio runtime of its own, and refuses to run inside another
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runtime.
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- `BlockCache` (any `Storage`): 1 MiB blocks and a 64 MiB LRU budget by
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default, the first block fetched at open (for HTTP by the request
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that learns the length), the missing blocks of one read fetched as
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runs of consecutive blocks in one parallel batch, per-block in-flight
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deduplication across threads, and reads that miss more than half the
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budget not kept. The page size of paged files is not used as the block
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size yet. `CacheStats` and `HttpStats` count requests and bytes.
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- The file is pinned at open by ETag (else Last-Modified, or the object's
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version) and length; a change is an error, not mixed data.
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- `h5rs` (feature `remote`) reads through the new `File::storage()`, the
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file's view as a `Storage`, so its parsing works on remote files; its
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`check` downloads the file whole.
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- Measured with `crates/clawhdf5-remote/tests/http.rs` (tank, 2026-09-26,
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`CLAWHDF5_REMOTE_CORPUS=conformance/.cache/corpus
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CLAWHDF5_REMOTE_REPORT=1 cargo test --release -p clawhdf5-remote --test
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http -- --nocapture corpus`), requests as the test server counted
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them: the 621 corpus files that open read over HTTP exactly as through
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`File::open`. Open + list (every group's entries, every dataset's shape
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and type) of all of them: 640 requests, 55.5 MB of 254 MB; then reading
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each file's largest dataset under 64 MiB: 96 more (171 MB in all). The
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same work without a cache: 141 936 requests. Per file: A lists in 2
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requests (§2 predicted 2 blocks of 1 MiB), B in 1, C in 7 (its whole
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6.4 MB: 35 001 object headers spread over the file).
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**M4 — wasm lazy loading (1–2 weeks).**
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- `clawhdf5-wasm`: `openUrl(url) -> Promise<H5File>` backed by `fetch` with a
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+52
-16
@@ -766,20 +766,22 @@ which is what libhdf5 itself writes.
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## Range reads (`File::open_storage`) limits
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**Status:** open (added 2026-09-26, milestone M2 of
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`docs/design/range-reads.md`). `File::open_storage` reads any
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`clawhdf5_format::storage::Storage` through the whole read API, and every
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format-crate read path works through `Storage::read_at`/`read_ranges`, but:
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`docs/design/range-reads.md`; remote backends added by M3). `File::open_storage`
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reads any `clawhdf5_format::storage::Storage` through the whole read API,
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every format-crate read path works through `Storage::read_at`/`read_ranges`,
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and `clawhdf5-remote` serves HTTP(S) and object-store files through a block
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cache, but:
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- **No remote backend and no block cache yet** (milestone M3). A `Storage`
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is asked for each structure as the parsers need it, several times over
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for some (an object header is re-read by each lookup through it): one
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pass over the conformance corpus — open, list, every attribute, every
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dataset once — is 176 092 `read_at` calls for 621 files, 92 489 of them
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for the 35 001-group `h5stat_newgrat.h5` (2026-09-26, tank,
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`crates/clawhdf5/tests/storage_equivalence.rs` with
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`CLAWHDF5_STORAGE_CORPUS`). A backend over a network needs a cache in
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front of it. `Storage::read_ranges` defaults to one `read_at` per range;
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coalescing is the backend's job.
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- **A `Storage` without a cache is asked for each structure as the parsers
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need it**, several times over for some (an object header is re-read by
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each lookup through it): one pass over the conformance corpus — open,
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list, every attribute, every dataset once — is 176 092 `read_at` calls
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for 621 files, 92 489 of them for the 35 001-group `h5stat_newgrat.h5`
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(2026-09-26, tank, `crates/clawhdf5/tests/storage_equivalence.rs` with
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`CLAWHDF5_STORAGE_CORPUS`). A backend of your own over a network needs a
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cache in front of it: wrap it in `clawhdf5_remote::BlockCache`, as
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`open_url` does. `Storage::read_ranges` defaults to one `read_at` per
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range; coalescing is the backend's (or the cache's) job.
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- A group lookup by name in a version-1 (symbol-table) group lists the whole
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group (dense groups use their name index). Over a range backend that is
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one read per symbol-table node and name, per lookup.
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@@ -790,10 +792,12 @@ format-crate read path works through `Storage::read_at`/`read_ranges`, but:
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`read_*_zerocopy`) need the file in memory and answer
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`FormatError::ContiguousStorageRequired` otherwise; `File::as_bytes()`
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panics for such a file (`File::contiguous_bytes()` is the fallible form).
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`LazyFile`, `MmapFile`, the Python and wasm bindings and `h5rs` still read
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a whole file.
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`LazyFile`, `MmapFile` and the Python and wasm bindings still read a
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whole file (`h5rs` reads through `File::storage`, and takes URLs with its
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`remote` feature).
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- The file's length is read once, at open: a growing file (SWMR) is not
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followed (milestone M5).
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followed (milestone M5). A remote file is pinned at open, so one that
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grows is `RemoteError::FileChanged`.
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- Not new, but visible through the equivalence tests: a full read through
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the file's chunk cache (`read_raw_data_cached`, `read_raw_data_indexed`,
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and so `Dataset::read_*`) lists a damaged dataset's chunks in hash-map
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@@ -801,6 +805,38 @@ format-crate read path works through `Storage::read_at`/`read_ranges`, but:
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the next (`cve-2025-2310.h5`); the values of a dataset that reads are
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not affected.
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## Remote files (`clawhdf5-remote`) limits
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**Status:** open (added 2026-09-26, milestone M3 of
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`docs/design/range-reads.md`).
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- **Python and the browser cannot open URLs yet.** `clawhdf5.File` (PyO3)
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parses through `File::as_bytes`, which a remote file does not have; the
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wasm reader's `openUrl` is milestone M4.
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- **The block size is fixed** (1 MiB unless `CacheConfig` says otherwise).
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The design's policy of using a paged file's page size as the block size
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is not implemented, and only the first block is read ahead.
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- **Checked against local servers and one public one.** The tests use an
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in-process HTTP/1.1 server and object_store's in-memory and local-file
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stores. HTTPS was checked by hand against `raw.githubusercontent.com`
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(2026-09-26, tank: `h5rs dump` of h5py's `vlen_string_dset.h5` by URL
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equals the downloaded file's). The `s3`, `gcs` and `azure` backends are
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built and their URL parsing tested, but they have not been run against a
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real bucket.
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- **A server with neither a strong ETag nor Last-Modified** can only be
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checked by length, so a same-length replacement mid-read would go
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unnoticed; `HttpOptions::require_validator` refuses such servers. A weak
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ETag (`W/"…"`) cannot be sent as `If-Match`, so it counts as none.
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- **Credentials:** HTTP takes extra headers (`HttpOptions::headers`, e.g.
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`Authorization`); `h5rs` has no option for them. The cloud stores read
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credentials from the environment only.
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- Each `ObjectStoreStorage` owns a tokio runtime with two worker threads.
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- `h5rs check` downloads a remote file whole (it validates every byte), and
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a URL cannot carry a `FILE/OBJECT` suffix; `h5rs` uses the default cache
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settings.
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- The zero-copy methods and `File::as_bytes` are unavailable on a remote
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file (see the range-read limits above).
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## `clawhdf5-wasm` (browser) limits
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**Status:** open (by design for now; added 2026-09-26).
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