Versioned HDF5 Change Log

1.7.0 (2024-06-10)

Major Changes

  • Added a new VersionedHDF5File.get_diff method

  • Added a new VersionedHDF5File.versions property

  • Updates to the build system to use meson-python

  • Added numpy 2.0 support

  • Make the InMemoryGroup repr more informative

Minor Changes

  • Optimizations to _recreate_raw_dataset, InMemoryDataset.resize

  • Added an optional check for verifying that reused chunks contain the expected data. Can be turned on by setting the environment variable: ENABLE_CHUNK_REUSE_VALIDATION = 1

  • The documentation for all published versions is now available!

  • Various DevEx improvements: pre-commit, pygrep-hooks-fixes, and tests now will not produce unwanted artifacts

  • Dataset names are now checked against a blocklist to avoid colliding with reserved words

1.6.0 (2023-11-15)

Major Changes

  • String lengths are now included with variable-length string array hashes. This solves an issue with hashing uniqueness with string arrays.

Minor Changes

  • Fixed an error message directly passing a file name to VersionedHDF5File.

  • Removed all posixpath “pp” aliases, to prevent conflict with prettyprint debug command.

  • Fix deprecated CI parameter.

1.5.0 (2023-10-19)

Major Changes

  • Fixed an issue with rebuilding hashtables; new DATA_VERSION released

Minor Changes

  • Rewrote a test for improved maintainability

1.4.3 (2023-10-05)

Minor Changes

  • Fix to avoid writing to temporary dataset during delete_versions, reducing the chance for out-of-memory errors.

  • Fix to _rebuild_hashtables to allow for rebuilding hashtables of datasets nested arbitrarily deeply inside groups.

  • A sensible default chunk size is now guessed by default if none is specified when creating 1D datasets.

1.4.2 (2023-09-13)

Minor Changes

  • Fix to prevent a quadratic runtime in delete_versions

1.4.1 (2023-09-13)

Minor Changes

  • Fix an issue where calling delete_versions on a dataset with a variable length string dtype before using h5repack on it would corrupt the file

1.4.0 (2023-09-11)

Major Changes

  • Fix an issue where hashes of object dtypes were not being correctly computed (#257). This change modifies how the hashes are computed for object dtypes.

Minor Changes

  • Remove old rever-based version release system in favor of GitHub workflows.

1.3.14 (2023-07-27)

Major Changes

  • Fix issues with the latest version of h5py.

Minor Changes

  • Fix an issue where empty datasets deleted with delete_versions() could result in corrupted versions.

  • Add info log showing stats about data upon exiting stage_version context.

  • Drop support for Python 3.7.

  • Remove all Travis CI configuration.

  • Various minor cleanups to the test suite.

1.3.13 (2023-01-30)

Minor Changes

  • Fix the setting of prev_version in delete_versions().

1.3.12 (2022-08-17)

Minor Changes

  • Fix variable length strings in _recreate_virtual_dataset. Note that for h5py 3.7.0 they cause a segfault without the upstream fix h5py/h5py#2111.

1.3.11 (2022-08-02)

Minor Changes

  • Improve the performance of creating versions in h5py 3.

1.3.10 (2022-06-16)

Minor Changes

  • Fix deleting the current version.

  • Properly handle fillvalue-only datasets in delete_versions().

1.3.9 (2022-04-28)

Minor Changes

  • Fix delete_versions() with nested groups.

  • Fix delete_versions() with variable length strings.

1.3.8 (2022-03-29)

Major Changes

  • Versioning wrappers are now skipped when loading a file in read-only mode. This leads to better performance in these cases.

Minor Changes

  • Fix the test suite with newer versions of pytest.

1.3.7 (2022-01-27)

Major Changes

  • delete_version has been renamed to delete_versions, and now takes a list of versions to delete. The old delete_version is kept intact for backwards compatibility.

  • delete_versions (née delete_version) is now much faster.

1.3.6 (2021-10-19)

Minor Changes

  • Create hashtable datasets with lzf compression enabled.

1.3.5 (2021-09-30)

Minor Changes

  • Fix a bug with the hashtable introduced in 1.3.4.

1.3.4 (2021-09-27)

Minor Changes

  • Make the hashtable dataset much smaller for datasets with no data or version history.

1.3.3 (2021-07-02)

Minor Changes

  • Fix a regression that prevented indexing a dataset with a mask from working.

1.3.2 (2021-07-28)

Minor Changes

  • Improve the performance of reading a reading a dataset that hasn’t been written to (e.g., reading from an already committed version).

  • Fix Versioned HDF5 to work with h5py 3.3.

  • Fix an issue that would occur when using np.datetime64 objects for timestamps when the fractional part of the second was exactly 0.

1.3.1 (2021-05-20)

Minor Changes

  • Avoid some unnecessary precomputation in the hashtable object. This improves the performance for files that have many versions in them.

1.3 (2021-05-07)

Major Changes

  • Support h5py 3. h5py 2.10 is also still officially supported.

  • Add functionality to replay versions. This allows mutating old versions.

  • Add new helper functions delete_version and modify_metadata to delete a version and modify metadata on a dataset that must be the same across versions, such as chunk size or dtype.

  • Add helper function recreate_dataset for more advanced version replaying functionality.

Minor Changes

  • Disallow accessing vfile[version] before version has been committed. Doing so previously could lead to inconsistencies.

  • Disallow accessing non-versioned groups from VersionedHDF5File.

  • Better error messages from VersionedHDF5File when the underlying file is closed.

  • Remove codecov.

  • Some improvements to the benchmarking suite.

1.2.6 (2021-04-20)

Minor Changes

  • Fix a bug where chunks could be deleted from a dataset.

  • Workaround an upstream h5py bug in the tests.

1.2.5 (2021-04-15)

Minor Changes

  • Fix a bug where attrs could be deleted from a dataset.

1.2.4 (2021-04-08)

Major Changes

  • Many improvements to performance throughout the library, particularly for datasets with many chunks, and for looking up versions by timestamp. This also sets up potential future performance improvements by automatically converting sparse staged datasets to fully in-memory.

  • Add some additional benchmarks to the benchmark suite.

1.2.3 (2021-02-25)

Minor Changes

  • Fix the length of str dtype not being maintained from the fillvalue.

1.2.2 (2021-02-04)

Minor Changes

1.2.1 (2020-12-30)

Minor Changes

  • Python 3.6 support has been dropped. The lowest version of Python now supported is 3.7.

  • Fix creating a completely empty sparse dataset

  • Use ndindex.ChunkSize internally. This is the beginning of an overhaul that improves the performance of many operations. ndindex 1.5 or newer is now required.

1.2 (2020-11-17)

Major Changes

  • Add support for sparse datasets (data=None).

  • Store the chunks on an attribute of the dataset.

  • versioned-hdf5 is currently pinned to h5py<3. h5py 3 support will be added in a future version.

  • VersionedHDF5File[timestamp] now returns the closest version before timestamp if there is no version at timestamp.

1.1 (2020-09-15)

Major Changes

  • Added support for shape-0 datasets.

  • Fix a memory leak where in-memory datasets would not be garbage collected.

  • Added support for empty datasets (size 0).

  • Make sure versioned data is read-only after closing and reopening the file.

  • Allow deleting groups and datasets between versions. Note that currently dataset metadata cannot change between versions, even if they are deleted in between.

Minor Changes

  • Most tests now use a temporary directory instead of writing a file in the current directory.

  • Fix logic for handling trailing slashes with in.

  • Automatically create intermediate groups when creating a dataset.

  • Make indices that should give a scalar object do so instead of giving a shape () array.

1.0 (2020-08-03)

Major Changes

  • First release of Versioned-HDF5.