Two fixes to the Java MemWAL LSM surface, both reproduced against the
scripted test server before being fixed.
Transport retries. `HttpClients.createDefault()` installs Apache's default
response retry strategy, whose retryable-status list is exactly 429 and 503
— the two statuses `LanceDbTableLsm.isRetryable` owns. Every explicit retry
budget in `checkpointLsm` was therefore doubled on the wire (a 429 held
against flush issued 18 requests, not 9), and `compactLsm` was retried in
place despite the loop being built to fall through to a fresh stats poll.
Automatic retries are now disabled, so the checkpoint loop is the sole owner
of the 421/429/503 transitions.
Stats decoding. `getLsmStats` read the response with Jackson's `path()`,
which yields a missing node that iterates as an empty array. That made
"malformed" indistinguishable from "no buckets", which is indistinguishable
from "drained" — so an empty response body, a `{"lsm_stats": {}}`, or a
bucket missing its required fields all made `checkpointLsm()` report
convergence for a checkpoint that never ran.
Stats now decode into `LsmStats`, `BucketStats`, `GenerationStats` and
`MemtableStats`, mirroring the Rust structs in
`rust/lancedb/src/table/lsm_stats.rs` and the objects the Node binding
already exposes. Decoding is strict and fails closed, matching the serde
contract on the Rust side: absent or null `lsm_stats` means the LSM write
path is off, and anything else present must decode into the full
bucket/generation shape. `newestGeneration` and `outstandingGenerations`
move onto `BucketStats`, matching Rust's `impl BucketStats`.
This changes `getLsmStats` from `Optional<JsonNode>` to `Optional<LsmStats>`,
which also brings Java to the typed surface Node already had rather than
handing back a raw JSON blob.
Testing: 33 passing in lancedb-core, up from 29. The new tests pin the wire
request count against the retry budget and reject five malformed stats
payloads. `testCheckpointRetriesRetryableStatusInPlace` previously passed on
a transport-absorbed 429 and now exercises the real retry path.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The Multimodal AI Lakehouse
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
Star LanceDB to get updates!
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 |
Join Us and Contribute
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.
