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lancedb-gatefixer[bot]andXuanwo
e3dce2cbad
## Summary - preflight IVF-SQ and IVF-HNSW-SQ storage segments touched by compaction - preserve unknown legacy fragment coverage as conservatively affected - cover both fixed-size vector and multivector SQ storage dimensions - reject only affected partitions whose fixed-size-list child exceeds Arrow's `u32` take-index limit - return an actionable `InvalidInput` error before Arrow can panic ## Root cause Arrow 58 builds fixed-size-list child indices with `u32`. For a large SQ partition, `partition_rows * vector_dimension` can exceed `u32::MAX`; the child range then wraps inside `take_fixed_size_list`, producing the reported `ArrayData::slice` assertion during index remapping. The preflight now reads raw segment metadata, mirrors Lance's fragment-bitmap selection (including `None` as affected/unknown), opens only affected vector segments, and checks their actual storage quantizer and partition sizes. It derives the stored dimension for both `FixedSizeList` vectors and flattened `List<FixedSizeList>` multivectors. Stable-row-ID datasets, deferred remapping, custom remappers, unaffected segments, non-SQ indexes, safe partitions, and no-op compactions are unchanged. Because the upstream Arrow kernel still has the limit, an affected index must be recreated with default IVF partitioning (or enough partitions to stay below the reported maximum) before compaction. This changes the failure from a process panic to a targeted recovery error; it does not silently alter index structure. ## Validation - `cargo fmt --all -- --check` - `cargo test --quiet --features aws,remote -p lancedb table::optimize::tests --lib` - `cargo test --quiet --features remote -p lancedb table::create_index::tests::test_create_index_ivf_hnsw_sq` - `cargo check --quiet --features remote --tests --examples` - `cargo clippy --quiet --features remote --tests --examples -- -A clippy::redundant-pub-crate` (the allowance is for pre-existing Rust 1.97 warnings in remote-table code) Fixes #2866 <!-- lance-gatekeeper-fix:v1 agent=ba2f07b1ee6f9e68a0de1961c164f70e generation=1 --> --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Co-authored-by: Xuanwo <github@xuanwo.io>
The Multimodal Lakehouse for AI
How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors
The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
Demo: Multimodal Search by Keyword, Vector or with SQL
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Key Features:
- Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
- Comprehensive Search: Support for vector similarity search, full-text search and SQL.
- Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
- Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Products:
- Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
- Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.
Ecosystem:
- Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
- Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
- Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
How to Install:
Follow the Quickstart doc to set up LanceDB locally.
API & SDK: We also support Python, Typescript and Rust SDKs
| Interface | Documentation |
|---|---|
| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
| REST API | https://docs.lancedb.com/api-reference/rest |
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We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.
If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.
Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.
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