Releases · conda/conda-libmamba-solver

25 Nov 11:00

jaimergp

25.11.0

2abc8f7

25.11.0 Latest

Latest

✨ Special Announcement ✨

This release includes preliminary support for fetching CEP 16 sharded repodata, a substantially more efficient way of distributing the necessary metadata to install packages in your environments.

You can try it by:

Enabling it in your settings with conda config --set plugins.use_sharded_repodata true
Setting this environment variable: CONDA_PLUGINS_USE_SHARDED_REPODATA=1

Note that sharded repodata requires that the target channels expose the necessary metadata too, so it will only work with CEP-16-ready deployments. conda-libmamba-solver will fallback to traditional (monolithic) repodata if not available, so you can mix sharded and non-sharded channels without problems.

Enhancements

Add experimental support for CEP 16 sharded repodata. Enable it with conda config --set plugins.use_sharded_repodata true or CONDA_PLUGINS_USE_SHARDED_REPODATA=1. (#684, #695, #696, #715 via #722, #730, #748, #736, #756, #762)
- When sharded repodata is enabled, the solver checks every channel for an index,
  repodata_shards.msgpack.zst, and re-checks every 7 days if not found. It builds a subset of
  repodata by recursively traversing the dependencies of all installed and requested packages,
  using shards to fetch only the package metadata that could possibly be part of the solution from
  each channel. This smaller amount of package metadata is sent to the solver. Sharded repodata can
  save a significant amount of bandwith, memory, and parse time when installing packages.
- Cache shards in a sqlite database in ${CONDA_PREFIX}/pkgs/cache/repodata_shards.db.
- This implementation does not use shards for conda search or other repodata uses that do not
  include a solve.
Add support for CEP 17 python_site_packages_path. (#560 via #628)
Add new messaging for when conda is outdated, environment is frozen, and conda-self is installed. (#753 via #766)
Add a codspeed benchmarking GitHub action and a few benchmarks. (#754 via #755)

Bug fixes

Constrain the torchvision version in test_pytorch_gpu. (#659 via #661)
Correctly record channel platform in conda-meta record files. (#662 via #663)
Import CondaSolver from its canonical location in conda.plugins.types. (#691)
The cpuonly mutex now correctly prevents CUDA packages from being installed, matching classic solver behavior. (#131 via #741)

Deprecations

Replace deprecated conda.core.index._supplement_index_with_system with conda.core.index.Index().system_packages. (#654 via #655)
Drop support for Python 3.9. (#747)

Docs

Update documentation to reflect that the cudatoolkit/cpuonly issue has been resolved for the libmamba solver. (#131)
Document the sharded repodata implementation. (#756, #745)

Other

Improve repository server in test suite. (#700)
Add Python 3.13 to the CI matrix. (#747)
Test osx-64 with conda-forge, and osx-arm64 with defaults, since Anaconda does not build osx-64 dependencies anymore. (#729, #747)

Contributors

@agriyakhetarpal made their first contribution in #741
@dholth
@jaimergp
@jezdez
@jjhelmus
@kenodegard
@stacynoland made their first contribution in #766
@travishathaway

Contributors

jezdez, dholth, and 6 other contributors

Assets 2

25 Apr 16:01

jaimergp

25.4.0

b088a94

25.4.0