* Test that we can insert subschemas (omit nullable columns) in Python.
* More work is needed to support this in Node. See:
https://github.com/lancedb/lancedb/issues/1832
* Test that we can insert data with nullable schema but no nulls in
non-nullable schema.
* Add `"null"` option for `on_bad_vectors` where we fill with null if
the vector is bad.
* Make null values not considered bad if the field itself is nullable.
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
```
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: 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.
Lance now supports FTS, so add it into lancedb Python, TypeScript and
Rust SDKs.
For Python, we still use tantivy based FTS by default because the lance
FTS index now misses some features of tantivy.
For Python:
- Support to create lance based FTS index
- Support to specify columns for full text search (only available for
lance based FTS index)
For TypeScript:
- Change the search method so that it can accept both string and vector
- Support full text search
For Rust
- Support full text search
The others:
- Update the FTS doc
BREAKING CHANGE:
- for Python, this renames the attached score column of FTS from "score"
to "_score", this could be a breaking change for users that rely the
scores
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
previously if you tried to install both vectordb and @lancedb/lancedb,
you would get a peer dependency issue due to `vectordb` requiring
`14.0.2` and `@lancedb/lancedb` requiring `15.0.0`. now
`@lancedb/lancedb` should just work with any arrow version 13-17
so this was annoying me when writing the docs.
for a `search` query, one needed to chain `async` calls.
```ts
const res = await (await tbl.search("greetings")).toArray()
```
now the promise will be deferred until the query is collected, leading
to a more functional API
```ts
const res = await tbl.search("greetings").toArray()
```
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>
while adding some more docs & examples for the new js sdk, i ran across
a few compatibility issues when using different arrow versions. This
should fix those issues.
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.
I've been noticing a lot of friction with the current toolchain for
'/nodejs'. Particularly with the usage of eslint and prettier.
[Biome](https://biomejs.dev/) is an all in one formatter & linter that
replaces the need for two different ones that can potentially clash with
one another.
I've been using it in the
[nodejs-polars](https://github.com/pola-rs/nodejs-polars) repo for quite
some time & have found it much more pleasant to work with.
---
One other small change included in this PR:
use [ts-jest](https://www.npmjs.com/package/ts-jest) so we can run our
tests without having to rebuild typescript code first
The synchronous table_names function in python lancedb relies on arrow's
filesystem which behaves slightly differently than object_store. As a
result, the function would not work properly in GCS.
However, the async table_names function uses object_store directly and
thus is accurate. In most cases we can fallback to using the async
table_names function and so this PR does so. The one case we cannot is
if the user is already in an async context (we can't start a new async
event loop). Soon, we can just redirect those users to use the async API
instead of the sync API and so that case will eventually go away. For
now, we fallback to the old behavior.
Arrow-js uses brittle `instanceof` checks throughout the code base.
These fail unless the library instance that produced the object matches
exactly the same instance the vectordb is using. At a minimum, this
means that a user using arrow version 15 (or any version that doesn't
match exactly the version that vectordb is using) will get strange
errors when they try and use vectordb.
However, there are even cases where the versions can be perfectly
identical, and the instanceof check still fails. One such example is
when using `vite` (e.g. https://github.com/vitejs/vite/issues/3910)
This PR solves the problem in a rather brute force, but workable,
fashion. If we encounter a schema that does not pass the `instanceof`
check then we will attempt to sanitize that schema by traversing the
object and, if it has all the correct properties, constructing an
appropriate `Schema` instance via deep cloning.
The eslint rules specify some formatting requirements that are rather
strict and conflict with vscode's default formatter. I was unable to get
auto-formatting to setup correctly. Also, eslint has quite recently
[given up on
formatting](https://eslint.org/blog/2023/10/deprecating-formatting-rules/)
and recommends using a 3rd party formatter.
This PR adds prettier as the formatter. It restores the eslint rules to
their defaults. This does mean we now have the "no explicit any" check
back on. I know that rule is pedantic but it did help me catch a few
corner cases in type testing that weren't covered in the current code.
Leaving in draft as this is dependent on other PRs.
In order to add support for `add` we needed to migrate the rust `Table`
trait to a `Table` struct and `TableInternal` trait (similar to the way
the connection is designed).
While doing this we also cleaned up some inconsistencies between the
SDKs:
* Python and Node are garbage collected languages and it can be
difficult to trigger something to be freed. The convention for these
languages is to have some kind of close method. I added a close method
to both the table and connection which will drop the underlying rust
object.
* We made significant improvements to table creation in
cc5f2136a6
for the `node` SDK. I copied these changes to the `nodejs` SDK.
* The nodejs tables were using fs to create tmp directories and these
were not getting cleaned up. This is mostly harmless but annoying and so
I changed it up a bit to ensure we cleanup tmp directories.
* ~~countRows in the node SDK was returning `bigint`. I changed it to
return `number`~~ (this actually happened in a previous PR)
* Tables and connections now implement `std::fmt::Display` which is
hooked into python's `__repr__`. Node has no concept of a regular "to
string" function and so I added a `display` method.
* Python method signatures are changing so that optional parameters are
always `Optional[foo] = None` instead of something like `foo = False`.
This is because we want those defaults to be in rust whenever possible
(though we still need to mention the default in documentation).
* I changed the python `AsyncConnection/AsyncTable` classes from
abstract classes with a single implementation to just classes because we
no longer have the remote implementation in python.
Note: this does NOT add the `add` function to the remote table. This PR
was already large enough, and the remote implementation is unique
enough, that I am going to do all the remote stuff at a later date (we
should have the structure in place and correct so there shouldn't be any
refactor concerns)
---------
Co-authored-by: Will Jones <willjones127@gmail.com>
This PR adds the same consistency semantics as was added in #828. It
*does not* add the same lazy-loading of tables, since that breaks some
existing tests.
This closes#998.
---------
Co-authored-by: Weston Pace <weston.pace@gmail.com>
