<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Added the ability to prewarm (load into memory) table indexes via new
methods in Python, Node.js, and Rust APIs, potentially reducing
cold-start query latency.
- **Bug Fixes**
- Ensured prewarming an index does not interfere with subsequent search
operations.
- **Tests**
- Introduced new test cases to verify full-text search index creation,
prewarming, and search functionalities in both Python and Node.js.
- **Chores**
- Updated dependencies for improved compatibility and performance.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Lu Qiu <luqiujob@gmail.com>
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Chores**
- Updated internal library dependencies to the latest beta version for
improved system stability.
- **Tests**
- Added automated tests to validate full-text search functionality on
list-based text fields.
- **Refactor**
- Enhanced the search processing logic to provide robust support for
list-type text data, ensuring more reliable results.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
Closes#2287
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Added configurable timeout support for query executions. Users can now
specify maximum wait times for queries, enhancing control over
long-running operations across various integrations.
- **Tests**
- Expanded test coverage to validate timeout behavior in both
synchronous and asynchronous query flows, ensuring timely error
responses when query execution exceeds the specified limit.
- Introduced a new test suite to verify query operations when a timeout
is reached, checking for appropriate error handling.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Chores**
- Updated core dependency versions to v0.25.3-beta.2.
- Enabled additional functionality with a new "dynamodb" feature.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Fixes#2255
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## Summary by CodeRabbit
- **Chores**
- Enhanced the build process to improve performance and reliability
across Linux platforms.
- Updated environment settings for more accurate compiler integration.
- Activated previously inactive build configurations to support advanced
feature support.
- Added support for the x86_64 architecture on Linux systems utilizing
the musl C library.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
We recently allowed this for lance but there was a check in lancedb as
well that was preventing it
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Added support for indexing fixed-size binary data using B-tree
structures for efficient data storage and retrieval.
- **Tests**
- Implemented automated tests to ensure the new binary indexing works
correctly and meets the expected configuration.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Chores**
- Updated dependency versions for improved performance and
compatibility.
- **New Features**
- Added support for structured full-text search with expanded query
types (e.g., match, phrase, boost, multi-match) and flexible input
formats.
- Introduced a new method to check server support for structural
full-text search features.
- Enhanced the query system with new classes and interfaces for handling
various full-text queries.
- Expanded the functionality of existing methods to accept more complex
query structures, including updates to method signatures.
- **Bug Fixes**
- Improved error handling and reporting for full-text search queries.
- **Refactor**
- Enhanced query processing with streamlined input handling and improved
error reporting, ensuring more robust and consistent search results
across platforms.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
Co-authored-by: BubbleCal <bubble-cal@outlook.com>
add analyze plan api to allow executing the queries and see runtime
metrics.
Which help identify the query IO overhead and help identify query
slowness
This PR fixes build issues associated with `aws-lc-rs`, while
simplifying the build process. Previously, we used custom scripts for
the musl and Windows ARM builds. These were complicated and prone to
breaking. This PR switches to a setup that mirrors
https://github.com/napi-rs/package-template/blob/main/.github/workflows/CI.yml.
* linux glibc and musl builds now use the Docker images provided by the
napi project
* Windows ARM build now just cross compiles from Windows x64, which
turns out to work quite well.
- adds `loss` into the index stats for vector index
- now `optimize` can retrain the vector index
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
`object_store` already hard codes `rustls` as the TLS implementation, so
we have been shipping a mix of `rustls` and `openssl`. For simplicity of
builds, we should consolidate to one, and that has to be `rustls`.
Previously, users could only specify new data types in `alterColumns` as
strings:
```ts
await tbl.alterColumns([
path: "price",
dataType: "float"
]);
```
But this has some problems:
1. It wasn't clear what were valid types
2. It was impossible to specify nested types, like lists and vector
columns.
This PR changes it to take an Arrow data type, similar to how the Python
API works. This allows casting vector types:
```ts
await tbl.alterColumns([
{
path: "vector",
dataType: new arrow.FixedSizeList(
2,
new arrow.Field("item", new arrow.Float16(), false),
),
},
]);
```
Closes#2185
Datafusion makes the batch size available as part of the `SessionState`.
We should use that to set the `max_batch_length` property in the
`QueryExecutionOptions`.
It seems that `RecordBatch::with_schema` is unable to remove schema
metadata from a batch. It fails with the error `target schema is not
superset of current schema`.
I'm not sure how the `test_metadata_erased` test is passing. Strangely,
the metadata was not present by the time the batch arrived at the
metadata eraser. I think maybe the schema metadata is only present in
the batch if there is a filter.
I've created a new unit test that makes sure the metadata is erased if
we have a filter also
This also changes the pylance pin from `==0.23.2` to `~=0.23.2` which
should allow the pylance dependency to float a little. The pylance
dependency is actually not used for much anymore and so it should be
tolerant of patch changes.
Similar to
c269524b2f
this PR reworks and exposes an internal trait (this time
`TableInternal`) to be a public trait. These two PRs together should
make it possible for others to integrate LanceDB on top of other
catalogs.
This PR also adds a basic `TableProvider` implementation for tables,
although some work still needs to be done here (pushdown not yet
enabled).
This opens up the door for more custom database implementations than the
two we have today. The biggest change should be inivisble:
`ConnectionInternal` has been renamed to `Database`, made public, and
refactored
However, there are a few breaking changes. `data_storage_version` and
`enable_v2_manifest_paths` have been moved from options on
`create_table` to options for the database which are now set via
`storage_options`.
Before:
```
db = connect(uri)
tbl = db.create_table("my_table", data, data_storage_version="legacy", enable_v2_manifest_paths=True)
```
After:
```
db = connect(uri, storage_options={
"new_table_enable_v2_manifest_paths": "true",
"new_table_data_storage_version": "legacy"
})
tbl = db.create_table("my_table", data)
```
BREAKING CHANGE: the data_storage_version, enable_v2_manifest_paths
options have moved from options to create_table to storage_options.
BREAKING CHANGE: the use_legacy_format option has been removed,
data_storage_version has replaced it for some time now
* Make `npm run docs` fail if there are any warnings. This will catch
items missing from the API reference.
* Add a check in our CI to make sure `npm run dos` runs without warnings
and doesn't generate any new files (indicating it might be out-of-date.
* Hide constructors that aren't user facing.
* Remove unused enum `WriteMode`.
Closes#2068
Some Rust jobs (such as
[Rust/linux](https://github.com/lancedb/lancedb/actions/runs/13019232960/job/36315830779))
take almost minutes. This can be a bit of a bottleneck.
* Two fixes to make caches more effective
* Check in `Cargo.lock` so that dependencies don't change much between
runs
* Added a new CI job to validate we can build without a lockfile
* Altered build commands so they don't have contradictory features and
therefore don't trigger multiple builds
Sadly, I don't think there's much to be done for windows-arm64, as much
of the compile time is because the base image is so bare we need to
install the build tools ourselves.
