docs: FileEditor — changelog, limits and leaked space, README example

known-issues records what the editor refuses, that freed space is never
reused (append-workload file sizes measured 2026-09-26 on tank with the
ignored measure_append_waste test; sizes are deterministic), and that there
is no journal.

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
This commit is contained in:
osobh
2026-09-26 13:35:06 -05:00
co-authored by Claude Opus 5.5
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## Unreleased
### In-place modification (2026-09-26)
- **`clawhdf5::FileEditor` modifies an existing file where it lies.**
`FileBuilder` builds whole files in memory; the editor opens a file
written by libhdf5 (any `libver`, including HDF5 2.0's own format) or by
clawhdf5 and changes only what an edit touches, recomputing the checksum
of every structure it changes. It takes an exclusive `flock` on the file
(the lock libhdf5 takes), so a second editor gets `Error::Locked`.
- `write_selection` / `write_all` / `write_values`: overwrite values of a
compact, contiguous (also never-written, late-allocated) or chunked
dataset, in its own datatype, under any selection. Chunks are decoded,
updated and re-encoded through the dataset's filters; a chunk that no
longer fits moves to the end of the file. New chunks are added to
version-1 B-tree (every chunked dataset of h5py's default `libver`),
Extensible Array, Fixed Array and single-chunk indexes — creating the
index, its data blocks, super blocks and pages, and splitting B-tree
nodes, as libhdf5 does: after the same sequence of writes the B-tree has
the same number of nodes per level and the Extensible Array header the
same block statistics as libhdf5's (tested).
- `resize`: grow a chunked dataset up to its maximum dimensions (h5py's
`Dataset.resize`).
- `set_attr`: add or replace an attribute in an object header, in free
space or in a new continuation chunk at the end of the file.
- Each edit is planned in memory and refused as a whole
(`Error::Unsupported`, file untouched) when any part is not supported:
new chunks in a version-2 B-tree index (two or more unlimited
dimensions) or an implicit index, shrinking, variable-length and
reference data, attributes in dense storage, past an object's compact
limit or with tracked creation order, files with a metadata cache
image, paged or persistent free space, or marked open by another
writer. New error variants `Error::Unsupported`,
`Error::InvalidArgument`, `Error::Locked`, and `clawhdf5::Error` is now
`#[non_exhaustive]` — a breaking change for code that matches it
exhaustively (the Python bindings map the new variants to
`NotImplementedError`, `ValueError` and `OSError`).
- Durability: the new space (chunks, index blocks) is written and synced
before any existing byte changes, then the metadata that links it in,
then a second sync. There is no journal: a crash during the second
phase can leave the file inconsistent (as with libhdf5 without SWMR).
Freed space is not reused (see `docs/known-issues.md`).
- Tests: `crates/clawhdf5-tools/tests/edit_interop.rs` (h5py `earliest`,
`v114` and `latest` files and clawhdf5 files; after every round h5py
reads the expected values, h5dump and `h5rs check --data` accept the
file, and h5py `r+` modifies it further; random operations against a
model) and `crates/clawhdf5/tests/edit_tests.rs`.
- `clawhdf5_format::type_builders::build_attr_message` is public.
### Chunked full reads (2026-09-26)
- **Chunks are decoded straight into the output, into reused buffers.** A
full read of a chunked dataset faulted in about three times its size in