I'm working on a lancedb version of pytorch data loading (and hopefully
addressing https://github.com/lancedb/lance/issues/3727).
However, rather than rely on pytorch for everything I'm moving some of
the things that pytorch does into rust. This gives us more control over
data loading (e.g. using shards or a hash-based split) and it allows
permutations to be persistent. In particular I hope to be able to:
* Create a persistent permutation
* This permutation can handle splits, filtering, shuffling, and sharding
* Create a rust data loader that can read a permutation (one or more
splits), or a subset of a permutation (for DDP)
* Create a python data loader that delegates to the rust data loader
Eventually create integrations for other data loading libraries,
including rust & node
Fixed the issue on lance-namespace side to avoid pinning to a specific
lance version. This should fix the issue of the increased release
artifact size and build time.
Add a new test feature which allows for running the lancedb tests
against a remote server. Convert over a few tests in src/connection.rs
as a proof of concept.
To make local development easier, the remote tests can be run locally
from a Makefile. This file can also be used to run the feature tests,
with a single invocation of 'make'. (The feature tests require bringing
up a docker compose environment.)
This PR adds support for namespace-backed databases through
lance-namespace integration, enabling centralized table management
through namespace APIs.
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Co-authored-by: Claude <noreply@anthropic.com>
## Summary
This PR introduces a `HeaderProvider` which is called for all remote
HTTP calls to get the latest headers to inject. This is useful for
features like adding the latest auth tokens where the header provider
can auto-refresh tokens internally and each request always set the
refreshed token.
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Co-authored-by: Claude <noreply@anthropic.com>
Updates lance to 0.35.0-beta4, which also incurs a datafusion update.
This brings in a fix for a memory leak in index caching, resulting from
a cyclical reference.
## Summary
- Exposes `Session` in Python and Typescript so users can set the
`index_cache_size_bytes` and `metadata_cache_size_bytes`
* The `Session` is attached to the `Connection`, and thus shared across
all tables in that connection.
- Adds deprecation warnings for table-level cache configuration
🤖 Generated with [Claude Code](https://claude.ai/code)
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Co-authored-by: Claude <noreply@anthropic.com>
