It refused whenever Handle::try_current() was Ok, which is also the case
inside spawn_blocking threads — so the workaround its own error message
recommended failed the same way, and the backend could only be used from
a bare std::thread in a tokio application.
Reads are now spawned on the storage's own runtime and the caller waits on
a channel: the future never runs on the caller's thread, so neither a
spawn_blocking thread nor a current-thread runtime can deadlock or panic
(a read inside a runtime blocks that thread, like any blocking call; the
docs still recommend spawn_blocking there).
Tests: a read in spawn_blocking of a multi-thread runtime and a read inside
a current-thread runtime's task give File::open's values (both errors
before).
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Only the full read split its chunk fetches into 64 MiB batches. The
selection path, the indexed read and the parallel_read decoders fetched
every chunk's stored bytes in one read_ranges call, each extent bounded only
by the file length, so a crafted chunk index pointing many chunks at one
large extent made File::open_storage hold chunks x extent bytes (3.3 GB from
a 16.8 MB file) before the first decode error.
- storage::for_each_extent_batch is now the one way raw-data reads fetch
chunk bytes: batches of at most RAW_BATCH_BYTES (now pub), each decoded
before the next is fetched. Used by the full, cached, indexed, selection
and parallel_read paths; the sweep read uses read_extent per chunk.
- ExtentReq carries each chunk's claimed extent (bounds-checked as before,
same errors) and the prefix actually fetched:
filters::stored_chunk_limit — the chunk size if unfiltered, else each
applied filter's worst-case growth (n + n/4 + 4096 per codec; unbounded
only for an application-registered codec). The in-memory path cuts the
slice it decodes the same way, so both paths still agree.
- tests/raw_fetch_bounds.rs: a crafted chunked_large.h5 (ten chunks all
claiming 20 MiB at one padding blob) read through every path over a
storage that records the largest single fetch; and 160 MiB of legitimate
unfiltered chunks fetched batch by batch. Before: one 80 MiB fetch
(selection) and one 160 MiB fetch; after: within the budget.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
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]>
CHANGELOG (Unreleased): File::open_storage, raw data and v2 B-trees over
Storage, the tests and their corpus results (2026-09-26, tank; conformance
600 of 697, results.json identical to 8f59b2e). known-issues: what
open_storage does not do yet (no remote backend or block cache, read_at
counts of a one-pass read, v1 group lookups, whole-file VDS sources,
zero-copy methods, SWMR growth, hash-order error choice on damaged chunked
datasets). Design: M2 status and the choices made.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
- Per-file probe output is identical for 696 of 697 files, not all:
cve-2025-2310.h5's error string depends on which parallel chunk decode
fails first, at f2ff2c4 as on this branch.
- The parser cores are generic (S: Storage + ?Sized); provisional A/B
numbers against f2ff2c4, including the one bench that still shows
ObjectHeader::parse slower when old and new are separate binaries.
- Reads sized by untrusted fields are bounded; the harness only accepts
the known whole-file fallbacks.
- range-reads.md records why M1 went generic rather than &dyn.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Three `chunk_info.address as usize` casts behind the `parallel` feature
survived the conversion, because check-32bit-casts.sh linted only default
features plus plugin-filters. On a 32-bit target with rayon a chunk address
past 4 GiB still wrapped onto another part of the file. They go through
addr::to_usize now, and the lane index (h % n, always < n) through
saturating_usize.
The script now lints no default features, default features, and every
optional feature but szip (wasm32; the set with zstd, which does not build
for wasm32, on the host, where the lint reports the same casts). With the
old parallel_read.rs/lane_partition.rs it fails listing the four casts; the
old script passed them. CHANGELOG and the design note give the exact count
(119) and what is not covered.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Lists the parsers now reading through Storage, what still needs the
whole file (v2 B-tree-indexed structures: a clean error; raw data: M2),
the equivalence harness, and the evidence that nothing changed: existing
tests, a byte-identical conformance results.json and per-file probe
output against f2ff2c4, and identical slice-API transcripts over 748
files between the two builds.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Inventory of the 109 whole-file parser functions, a measurement of the
metadata ranges clawhdf5 touches on three corpus files against libhdf5,
options (storage trait, virtual slice, metadata prefetch, userfaultfd)
with how ros3, h5py+fsspec, pyfive, h5wasm and object_store do it, and
an incremental plan: M0 name-index lookups, M1 metadata over a Storage
trait, M2 raw data with batched ranges, M3 object_store backend,
M4 wasm fetch-driven lazy loading.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
osobh