it reports error `AttributeError: 'builtins.FTSQuery' object has no
attribute 'select_columns'`
because we missed `select_columns` method in rust
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
binary vectors and hamming distance can work on only IVF_FLAT, so
introduce them all in this PR.
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
### Changes to sync API
* Updated `LanceTable` and `LanceDBConnection` reprs
* Add `storage_options`, `data_storage_version`, and
`enable_v2_manifest_paths` to sync create table API.
* Add `storage_options` to `open_table` in sync API.
* Add `list_indices()` and `index_stats()` to sync API
* `create_table()` will now create only 1 version when data is passed.
Previously it would always create two versions: 1 to create an empty
table and 1 to add data to it.
### Changes to async API
* Add `embedding_functions` to async `create_table()` API.
* Added `head()` to async API
### Refactors
* Refactor index parameters into dataclasses so they are easier to use
from Python
* Moved most tests to use an in-memory DB so we don't need to create so
many temp directories
Closes#1792Closes#1932
---------
Co-authored-by: Weston Pace <weston.pace@gmail.com>
Allows users to pass multiple query vector as part of a single query
plan. This just runs the queries in parallel without any further
optimization. It's mostly a convenience.
Previously, I think this was only handled by the sync Python remote API.
This makes it common across all SDKs.
Closes https://github.com/lancedb/lancedb/issues/1803
```python
>>> import lancedb
>>> import asyncio
>>>
>>> async def main():
... db = await lancedb.connect_async("./demo")
... table = await db.create_table("demo", [{"id": 1, "vector": [1, 2, 3]}, {"id": 2, "vector": [4, 5, 6]}], mode="overwrite")
... return await table.query().nearest_to([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [4.0, 5.0, 6.0]]).limit(1).to_pandas()
...
>>> asyncio.run(main())
query_index id vector _distance
0 2 2 [4.0, 5.0, 6.0] 0.0
1 1 2 [4.0, 5.0, 6.0] 0.0
2 0 1 [1.0, 2.0, 3.0] 0.0
```
* Replaces Python implementation of Remote SDK with Rust one.
* Drops dependency on `attrs` and `cachetools`. Makes `requests` an
optional dependency used only for embeddings feature.
* Adds dependency on `nest-asyncio`. This was required to get hybrid
search working.
* Deprecate `request_thread_pool` parameter. We now use the tokio
threadpool.
* Stop caching the `schema` on a remote table. Schema is mutable and
there's no mechanism in place to invalidate the cache.
* Removed the client-side resolution of the vector column. We should
already be resolving this server-side.
Sometimes it is acceptable to users to only search indexed data and skip
and new un-indexed data. For example, if un-indexed data will be shortly
indexed and they don't mind the delay. In these cases, we can save a lot
of CPU time in search, and provide better latency. Users can activate
this on queries using `fast_search()`.
BREAKING CHANGE: default tokenizer no longer does stemming or stop-word
removal. Users should explicitly turn that option on in the future.
- upgrade lance to 0.19.1
- update the FTS docs
- update the FTS API
Upstream change notes:
https://github.com/lancedb/lance/releases/tag/v0.19.1
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
Co-authored-by: Will Jones <willjones127@gmail.com>
* Adds nicer errors to remote SDK, that expose useful properties like
`request_id` and `status_code`.
* Makes sure the Python tracebacks print nicely by mapping the `source`
field from a Rust error to the `__cause__` field.
BREAKING CHANGE: the return value of `index_stats` method has changed
and all `index_stats` APIs now take index name instead of UUID. Also
several deprecated index statistics methods were removed.
* Removes deprecated methods for individual index statistics
* Aligns public `IndexStatistics` struct with API response from LanceDB
Cloud.
* Implements `index_stats` for remote Rust SDK and Python async API.
The new V2 manifest path scheme makes discovering the latest version of
a table constant time on object stores, regardless of the number of
versions in the table. See benchmarks in the PR here:
https://github.com/lancedb/lance/pull/2798Closes#1583
Before this we ignored the `fts_columns` parameter, and for now we
support to search on only one column, it could lead to an error if we
have multiple indexed columns for FTS
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
It's useful to see the underlying query plan for debugging purposes.
This exposes LanceScanner's `explain_plan` function. Addresses #1288
---------
Co-authored-by: Will Jones <willjones127@gmail.com>
The optimize function is pretty crucial for getting good performance
when building a large scale dataset but it was only exposed in rust
(many sync python users are probably doing this via to_lance today)
This PR adds the optimize function to nodejs and to python.
I left the function marked experimental because I think there will
likely be changes to optimization (e.g. if we add features like
"optimize on write"). I also only exposed the `cleanup_older_than`
configuration parameter since this one is very commonly used and the
rest have sensible defaults and we don't really know why we would
recommend different values for these defaults anyways.
This was already configurable in the rust API but it wasn't actually
being passed down to the underlying dataset. I added this option to both
the async python API and the new nodejs API.
I also added this option to the synchronous python API.
I did not add the option to vectordb.
Exposes `storage_options` in LanceDB. This is provided for Python async,
Node `lancedb`, and Node `vectordb` (and Rust of course). Python
synchronous is omitted because it's not compatible with the PyArrow
filesystems we use there currently. In the future, we will move the sync
API to wrap the async one, and then it will get support for
`storage_options`.
1. Fixes#1168
2. Closes#1165
3. Closes#1082
4. Closes#439
5. Closes#897
6. Closes#642
7. Closes#281
8. Closes#114
9. Closes#990
10. Deprecating `awsCredentials` and `awsRegion`. Users are encouraged
to use `storageOptions` instead.
In
2de226220b
I added a new `IntoArrow` trait for adding data into a table.
Unfortunately, it seems my approach for implementing the trait for
"things that are already record batch readers" was flawed. This PR
corrects that flaw and, conveniently, removes the need to box readers at
all (though it is ok if you do).
