Compare commits

...

9 Commits

Author SHA1 Message Date
Lance Release
0a16e29b93 [python] Bump version: 0.4.3 → 0.4.4 2024-01-11 21:29:00 +00:00
Will Jones
cf7d7a19f5 upgrade lance (#809) 2024-01-11 13:28:10 -08:00
Lei Xu
fe2fb91a8b chore: remove black as dependency (#808)
We use `ruff` in CI and dev workflow now.
2024-01-11 10:58:49 -08:00
Chang She
81af350d85 feat(node): align incoming data to table schema (#802) 2024-01-10 16:44:00 -08:00
Sebastian Law
99adfe065a use requests instead of aiohttp for underlying http client (#803)
instead of starting and stopping the current thread's event loop on
every http call, just make an http call.
2024-01-10 00:07:50 -05:00
Chang She
277406509e chore(python): add docstring for limit behavior (#800)
Closes #796
2024-01-09 20:20:13 -08:00
Chang She
63411b4d8b feat(python): add phrase query option for fts (#798)
addresses #797 

Problem: tantivy does not expose option to explicitly

Proposed solution here: 

1. Add a `.phrase_query()` option
2. Under the hood, LanceDB takes care of wrapping the input in quotes
and replace nested double quotes with single quotes

I've also filed an upstream issue, if they support phrase queries
natively then we can get rid of our manual custom processing here.
2024-01-09 19:41:31 -08:00
Chang She
d998f80b04 feat(python): add count_rows with filter option (#801)
Closes #795
2024-01-09 19:33:03 -08:00
Chang She
629379a532 fix(rust): not sure why clippy is suddenly unhappy (#794)
should fix the error on top of main


https://github.com/lancedb/lancedb/actions/runs/7457190471/job/20288985725
2024-01-09 19:27:38 -08:00
19 changed files with 466 additions and 434 deletions

View File

@@ -49,7 +49,7 @@ jobs:
timeout-minutes: 30
strategy:
matrix:
config:
config:
- name: x86 Mac
runner: macos-13
- name: Arm Mac
@@ -74,7 +74,7 @@ jobs:
run: |
pip install -e .[tests]
pip install tantivy@git+https://github.com/quickwit-oss/tantivy-py#164adc87e1a033117001cf70e38c82a53014d985
pip install pytest pytest-mock black
pip install pytest pytest-mock
- name: Run tests
run: pytest -m "not slow" -x -v --durations=30 tests
pydantic1x:

View File

@@ -5,10 +5,10 @@ exclude = ["python"]
resolver = "2"
[workspace.dependencies]
lance = { "version" = "=0.9.5", "features" = ["dynamodb"] }
lance-index = { "version" = "=0.9.5" }
lance-linalg = { "version" = "=0.9.5" }
lance-testing = { "version" = "=0.9.5" }
lance = { "version" = "=0.9.6", "features" = ["dynamodb"] }
lance-index = { "version" = "=0.9.6" }
lance-linalg = { "version" = "=0.9.6" }
lance-testing = { "version" = "=0.9.6" }
# Note that this one does not include pyarrow
arrow = { version = "49.0.0", optional = false }
arrow-array = "49.0"

520
node/package-lock.json generated
View File

@@ -18,9 +18,9 @@
"win32"
],
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"apache-arrow": "^14.0.2",
"axios": "^1.4.0"
},
"devDependencies": {
@@ -60,32 +60,52 @@
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}
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},
"node_modules/@cargo-messages/android-arm-eabi": {
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@@ -866,7 +886,6 @@
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"dependencies": {
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@@ -891,34 +910,34 @@
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"flatbuffers": "23.3.3",
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"tslib": "^2.5.3"
},
"bin": {
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}
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},
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@@ -1170,7 +1189,6 @@
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"dev": true,
"dependencies": {
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@@ -1182,11 +1200,24 @@
"url": "https://github.com/chalk/chalk?sponsor=1"
}
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"dependencies": {
"chalk": "^4.1.2"
},
"engines": {
"node": ">=12"
},
"funding": {
"url": "https://github.com/chalk/chalk-template?sponsor=1"
}
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@@ -1245,7 +1276,6 @@
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@@ -1256,8 +1286,7 @@
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@@ -1285,97 +1314,33 @@
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@@ -2237,9 +2194,9 @@
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@@ -3048,6 +3004,11 @@
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"p-locate": "^5.0.0"
}
},
"lodash.assignwith": {
"version": "4.2.0",
"resolved": "https://registry.npmjs.org/lodash.assignwith/-/lodash.assignwith-4.2.0.tgz",
"integrity": "sha512-ZznplvbvtjK2gMvnQ1BR/zqPFZmS6jbK4p+6Up4xcRYA7yMIwxHCfbTcrYxXKzzqLsQ05eJPVznEW3tuwV7k1g=="
},
"lodash.camelcase": {
"version": "4.3.0",
"resolved": "https://registry.npmjs.org/lodash.camelcase/-/lodash.camelcase-4.3.0.tgz",
@@ -7323,11 +7247,6 @@
"picomatch": "^2.2.1"
}
},
"reduce-flatten": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/reduce-flatten/-/reduce-flatten-2.0.0.tgz",
"integrity": "sha512-EJ4UNY/U1t2P/2k6oqotuX2Cc3T6nxJwsM0N0asT7dhrtH1ltUxDn4NalSYmPE2rCkVpcf/X6R0wDwcFpzhd4w=="
},
"regexp.prototype.flags": {
"version": "1.5.0",
"resolved": "https://registry.npmjs.org/regexp.prototype.flags/-/regexp.prototype.flags-1.5.0.tgz",
@@ -7523,6 +7442,11 @@
"source-map": "^0.6.0"
}
},
"stream-read-all": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/stream-read-all/-/stream-read-all-3.0.1.tgz",
"integrity": "sha512-EWZT9XOceBPlVJRrYcykW8jyRSZYbkb/0ZK36uLEmoWVO5gxBOnntNTseNzfREsqxqdfEGQrD8SXQ3QWbBmq8A=="
},
"string-width": {
"version": "4.2.3",
"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
@@ -7604,25 +7528,28 @@
"dev": true
},
"table-layout": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/table-layout/-/table-layout-1.0.2.tgz",
"integrity": "sha512-qd/R7n5rQTRFi+Zf2sk5XVVd9UQl6ZkduPFC3S7WEGJAmetDTjY3qPN50eSKzwuzEyQKy5TN2TiZdkIjos2L6A==",
"version": "3.0.2",
"resolved": "https://registry.npmjs.org/table-layout/-/table-layout-3.0.2.tgz",
"integrity": "sha512-rpyNZYRw+/C+dYkcQ3Pr+rLxW4CfHpXjPDnG7lYhdRoUcZTUt+KEsX+94RGp/aVp/MQU35JCITv2T/beY4m+hw==",
"requires": {
"array-back": "^4.0.1",
"deep-extend": "~0.6.0",
"typical": "^5.2.0",
"wordwrapjs": "^4.0.0"
"@75lb/deep-merge": "^1.1.1",
"array-back": "^6.2.2",
"command-line-args": "^5.2.1",
"command-line-usage": "^7.0.0",
"stream-read-all": "^3.0.1",
"typical": "^7.1.1",
"wordwrapjs": "^5.1.0"
},
"dependencies": {
"array-back": {
"version": "4.0.2",
"resolved": "https://registry.npmjs.org/array-back/-/array-back-4.0.2.tgz",
"integrity": "sha512-NbdMezxqf94cnNfWLL7V/im0Ub+Anbb0IoZhvzie8+4HJ4nMQuzHuy49FkGYCJK2yAloZ3meiB6AVMClbrI1vg=="
"version": "6.2.2",
"resolved": "https://registry.npmjs.org/array-back/-/array-back-6.2.2.tgz",
"integrity": "sha512-gUAZ7HPyb4SJczXAMUXMGAvI976JoK3qEx9v1FTmeYuJj0IBiaKttG1ydtGKdkfqWkIkouke7nG8ufGy77+Cvw=="
},
"typical": {
"version": "5.2.0",
"resolved": "https://registry.npmjs.org/typical/-/typical-5.2.0.tgz",
"integrity": "sha512-dvdQgNDNJo+8B2uBQoqdb11eUCE1JQXhvjC/CZtgvZseVd5TYMXnq0+vuUemXbd/Se29cTaUuPX3YIc2xgbvIg=="
"version": "7.1.1",
"resolved": "https://registry.npmjs.org/typical/-/typical-7.1.1.tgz",
"integrity": "sha512-T+tKVNs6Wu7IWiAce5BgMd7OZfNYUndHwc5MknN+UHOudi7sGZzuHdCadllRuqJ3fPtgFtIH9+lt9qRv6lmpfA=="
}
}
},
@@ -7940,20 +7867,9 @@
"dev": true
},
"wordwrapjs": {
"version": "4.0.1",
"resolved": "https://registry.npmjs.org/wordwrapjs/-/wordwrapjs-4.0.1.tgz",
"integrity": "sha512-kKlNACbvHrkpIw6oPeYDSmdCTu2hdMHoyXLTcUKala++lx5Y+wjJ/e474Jqv5abnVmwxw08DiTuHmw69lJGksA==",
"requires": {
"reduce-flatten": "^2.0.0",
"typical": "^5.2.0"
},
"dependencies": {
"typical": {
"version": "5.2.0",
"resolved": "https://registry.npmjs.org/typical/-/typical-5.2.0.tgz",
"integrity": "sha512-dvdQgNDNJo+8B2uBQoqdb11eUCE1JQXhvjC/CZtgvZseVd5TYMXnq0+vuUemXbd/Se29cTaUuPX3YIc2xgbvIg=="
}
}
"version": "5.1.0",
"resolved": "https://registry.npmjs.org/wordwrapjs/-/wordwrapjs-5.1.0.tgz",
"integrity": "sha512-JNjcULU2e4KJwUNv6CHgI46UvDGitb6dGryHajXTDiLgg1/RiGoPSDw4kZfYnwGtEXf2ZMeIewDQgFGzkCB2Sg=="
},
"workerpool": {
"version": "6.2.1",

View File

@@ -57,9 +57,9 @@
"uuid": "^9.0.0"
},
"dependencies": {
"@apache-arrow/ts": "^12.0.0",
"@apache-arrow/ts": "^14.0.2",
"@neon-rs/load": "^0.0.74",
"apache-arrow": "^12.0.0",
"apache-arrow": "^14.0.2",
"axios": "^1.4.0"
},
"os": [

View File

@@ -17,10 +17,9 @@ import {
Float32,
makeBuilder,
RecordBatchFileWriter,
Utf8,
type Vector,
Utf8, type Vector,
FixedSizeList,
vectorFromArray, type Schema, Table as ArrowTable, RecordBatchStreamWriter, List, Float64
vectorFromArray, type Schema, Table as ArrowTable, RecordBatchStreamWriter, List, Float64, RecordBatch, makeData, Struct
} from 'apache-arrow'
import { type EmbeddingFunction } from './index'
@@ -78,6 +77,7 @@ export async function convertToTable<T> (data: Array<Record<string, unknown>>, e
}
records[columnsKey] = listBuilder.finish().toVector()
} else {
// TODO if this is a struct field then recursively align the subfields
records[columnsKey] = vectorFromArray(values)
}
}
@@ -110,21 +110,27 @@ function newVectorType (dim: number): FixedSizeList<Float32> {
}
// Converts an Array of records into Arrow IPC format
export async function fromRecordsToBuffer<T> (data: Array<Record<string, unknown>>, embeddings?: EmbeddingFunction<T>): Promise<Buffer> {
const table = await convertToTable(data, embeddings)
export async function fromRecordsToBuffer<T> (data: Array<Record<string, unknown>>, embeddings?: EmbeddingFunction<T>, schema?: Schema): Promise<Buffer> {
let table = await convertToTable(data, embeddings)
if (schema !== undefined) {
table = alignTable(table, schema)
}
const writer = RecordBatchFileWriter.writeAll(table)
return Buffer.from(await writer.toUint8Array())
}
// Converts an Array of records into Arrow IPC stream format
export async function fromRecordsToStreamBuffer<T> (data: Array<Record<string, unknown>>, embeddings?: EmbeddingFunction<T>): Promise<Buffer> {
const table = await convertToTable(data, embeddings)
export async function fromRecordsToStreamBuffer<T> (data: Array<Record<string, unknown>>, embeddings?: EmbeddingFunction<T>, schema?: Schema): Promise<Buffer> {
let table = await convertToTable(data, embeddings)
if (schema !== undefined) {
table = alignTable(table, schema)
}
const writer = RecordBatchStreamWriter.writeAll(table)
return Buffer.from(await writer.toUint8Array())
}
// Converts an Arrow Table into Arrow IPC format
export async function fromTableToBuffer<T> (table: ArrowTable, embeddings?: EmbeddingFunction<T>): Promise<Buffer> {
export async function fromTableToBuffer<T> (table: ArrowTable, embeddings?: EmbeddingFunction<T>, schema?: Schema): Promise<Buffer> {
if (embeddings !== undefined) {
const source = table.getChild(embeddings.sourceColumn)
@@ -136,12 +142,15 @@ export async function fromTableToBuffer<T> (table: ArrowTable, embeddings?: Embe
const column = vectorFromArray(vectors, newVectorType(vectors[0].length))
table = table.assign(new ArrowTable({ vector: column }))
}
if (schema !== undefined) {
table = alignTable(table, schema)
}
const writer = RecordBatchFileWriter.writeAll(table)
return Buffer.from(await writer.toUint8Array())
}
// Converts an Arrow Table into Arrow IPC stream format
export async function fromTableToStreamBuffer<T> (table: ArrowTable, embeddings?: EmbeddingFunction<T>): Promise<Buffer> {
export async function fromTableToStreamBuffer<T> (table: ArrowTable, embeddings?: EmbeddingFunction<T>, schema?: Schema): Promise<Buffer> {
if (embeddings !== undefined) {
const source = table.getChild(embeddings.sourceColumn)
@@ -153,10 +162,36 @@ export async function fromTableToStreamBuffer<T> (table: ArrowTable, embeddings?
const column = vectorFromArray(vectors, newVectorType(vectors[0].length))
table = table.assign(new ArrowTable({ vector: column }))
}
if (schema !== undefined) {
table = alignTable(table, schema)
}
const writer = RecordBatchStreamWriter.writeAll(table)
return Buffer.from(await writer.toUint8Array())
}
function alignBatch (batch: RecordBatch, schema: Schema): RecordBatch {
const alignedChildren = []
for (const field of schema.fields) {
const indexInBatch = batch.schema.fields?.findIndex((f) => f.name === field.name)
if (indexInBatch < 0) {
throw new Error(`The column ${field.name} was not found in the Arrow Table`)
}
alignedChildren.push(batch.data.children[indexInBatch])
}
const newData = makeData({
type: new Struct(schema.fields),
length: batch.numRows,
nullCount: batch.nullCount,
children: alignedChildren
})
return new RecordBatch(schema, newData)
}
function alignTable (table: ArrowTable, schema: Schema): ArrowTable {
const alignedBatches = table.batches.map(batch => alignBatch(batch, schema))
return new ArrowTable(schema, alignedBatches)
}
// Creates an empty Arrow Table
export function createEmptyTable (schema: Schema): ArrowTable {
return new ArrowTable(schema)

View File

@@ -485,10 +485,10 @@ export class LocalConnection implements Connection {
}
buffer = await fromTableToBuffer(createEmptyTable(schema))
} else if (data instanceof ArrowTable) {
buffer = await fromTableToBuffer(data, embeddingFunction)
buffer = await fromTableToBuffer(data, embeddingFunction, schema)
} else {
// data is Array<Record<...>>
buffer = await fromRecordsToBuffer(data, embeddingFunction)
buffer = await fromRecordsToBuffer(data, embeddingFunction, schema)
}
const tbl = await tableCreate.call(this._db, name, buffer, writeOptions?.writeMode?.toString(), ...getAwsArgs(this._options()))
@@ -560,9 +560,10 @@ export class LocalTable<T = number[]> implements Table<T> {
* @return The number of rows added to the table
*/
async add (data: Array<Record<string, unknown>>): Promise<number> {
const schema = await this.schema
return tableAdd.call(
this._tbl,
await fromRecordsToBuffer(data, this._embeddings),
await fromRecordsToBuffer(data, this._embeddings, schema),
WriteMode.Append.toString(),
...getAwsArgs(this._options())
).then((newTable: any) => { this._tbl = newTable })

View File

@@ -176,6 +176,26 @@ describe('LanceDB client', function () {
assert.deepEqual(await con.tableNames(), ['vectors'])
})
it('create a table with a schema and records', async function () {
const dir = await track().mkdir('lancejs')
const con = await lancedb.connect(dir)
const schema = new Schema(
[new Field('id', new Int32()),
new Field('name', new Utf8()),
new Field('vector', new FixedSizeList(2, new Field('item', new Float32(), true)), false)
]
)
const data = [
{ vector: [0.5, 0.2], name: 'foo', id: 0 },
{ vector: [0.3, 0.1], name: 'bar', id: 1 }
]
// even thought the keys in data is out of order it should still work
const table = await con.createTable({ name: 'vectors', data, schema })
assert.equal(table.name, 'vectors')
assert.deepEqual(await con.tableNames(), ['vectors'])
})
it('create a table with a empty data array', async function () {
const dir = await track().mkdir('lancejs')
const con = await lancedb.connect(dir)
@@ -294,6 +314,25 @@ describe('LanceDB client', function () {
assert.equal(await table.countRows(), 4)
})
it('appends records with fields in a different order', async function () {
const dir = await track().mkdir('lancejs')
const con = await lancedb.connect(dir)
const data = [
{ id: 1, vector: [0.1, 0.2], price: 10, name: 'a' },
{ id: 2, vector: [1.1, 1.2], price: 50, name: 'b' }
]
const table = await con.createTable('vectors', data)
const dataAdd = [
{ id: 3, vector: [2.1, 2.2], name: 'c', price: 10 },
{ id: 4, vector: [3.1, 3.2], name: 'd', price: 50 }
]
await table.add(dataAdd)
assert.equal(await table.countRows(), 4)
})
it('overwrite all records in a table', async function () {
const uri = await createTestDB()
const con = await lancedb.connect(uri)

View File

@@ -1,5 +1,5 @@
[bumpversion]
current_version = 0.4.3
current_version = 0.4.4
commit = True
message = [python] Bump version: {current_version} → {new_version}
tag = True

View File

@@ -45,8 +45,8 @@ pytest
To run linter and automatically fix all errors:
```bash
black .
isort .
ruff format python
ruff --fix python
```
If any packages are missing, install them with:
@@ -82,4 +82,4 @@ pip install tantivy
To run the unit tests:
```bash
pytest
```
```

View File

@@ -260,20 +260,30 @@ class LanceQueryBuilder(ABC):
for row in self.to_arrow().to_pylist()
]
def limit(self, limit: int) -> LanceQueryBuilder:
def limit(self, limit: Union[int, None]) -> LanceQueryBuilder:
"""Set the maximum number of results to return.
Parameters
----------
limit: int
The maximum number of results to return.
By default the query is limited to the first 10.
Call this method and pass 0, a negative value,
or None to remove the limit.
*WARNING* if you have a large dataset, removing
the limit can potentially result in reading a
large amount of data into memory and cause
out of memory issues.
Returns
-------
LanceQueryBuilder
The LanceQueryBuilder object.
"""
self._limit = limit
if limit is None or limit <= 0:
self._limit = None
else:
self._limit = limit
return self
def select(self, columns: list) -> LanceQueryBuilder:
@@ -468,6 +478,24 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
def __init__(self, table: "lancedb.table.Table", query: str):
super().__init__(table)
self._query = query
self._phrase_query = False
def phrase_query(self, phrase_query: bool = True) -> LanceFtsQueryBuilder:
"""Set whether to use phrase query.
Parameters
----------
phrase_query: bool, default True
If True, then the query will be wrapped in quotes and
double quotes replaced by single quotes.
Returns
-------
LanceFtsQueryBuilder
The LanceFtsQueryBuilder object.
"""
self._phrase_query = phrase_query
return self
def to_arrow(self) -> pa.Table:
try:
@@ -490,7 +518,11 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
# open the index
index = tantivy.Index.open(index_path)
# get the scores and doc ids
row_ids, scores = search_index(index, self._query, self._limit)
query = self._query
if self._phrase_query:
query = query.replace('"', "'")
query = f'"{query}"'
row_ids, scores = search_index(index, query, self._limit)
if len(row_ids) == 0:
empty_schema = pa.schema([pa.field("score", pa.float32())])
return pa.Table.from_pylist([], schema=empty_schema)

View File

@@ -13,9 +13,10 @@
import functools
from typing import Any, Callable, Dict, Iterable, Optional, Union
from typing import Any, Callable, Dict, Iterable, List, Optional, Union
from urllib.parse import urljoin
import aiohttp
import requests
import attrs
import pyarrow as pa
from pydantic import BaseModel
@@ -37,8 +38,8 @@ def _check_not_closed(f):
return wrapped
async def _read_ipc(resp: aiohttp.ClientResponse) -> pa.Table:
resp_body = await resp.read()
def _read_ipc(resp: requests.Response) -> pa.Table:
resp_body = resp.content
with pa.ipc.open_file(pa.BufferReader(resp_body)) as reader:
return reader.read_all()
@@ -53,15 +54,18 @@ class RestfulLanceDBClient:
closed: bool = attrs.field(default=False, init=False)
@functools.cached_property
def session(self) -> aiohttp.ClientSession:
url = (
def session(self) -> requests.Session:
return requests.Session()
@property
def url(self) -> str:
return (
self.host_override
or f"https://{self.db_name}.{self.region}.api.lancedb.com"
)
return aiohttp.ClientSession(url)
async def close(self):
await self.session.close()
def close(self):
self.session.close()
self.closed = True
@functools.cached_property
@@ -76,38 +80,38 @@ class RestfulLanceDBClient:
return headers
@staticmethod
async def _check_status(resp: aiohttp.ClientResponse):
if resp.status == 404:
raise LanceDBClientError(f"Not found: {await resp.text()}")
elif 400 <= resp.status < 500:
def _check_status(resp: requests.Response):
if resp.status_code == 404:
raise LanceDBClientError(f"Not found: {resp.text}")
elif 400 <= resp.status_code < 500:
raise LanceDBClientError(
f"Bad Request: {resp.status}, error: {await resp.text()}"
f"Bad Request: {resp.status_code}, error: {resp.text}"
)
elif 500 <= resp.status < 600:
elif 500 <= resp.status_code < 600:
raise LanceDBClientError(
f"Internal Server Error: {resp.status}, error: {await resp.text()}"
f"Internal Server Error: {resp.status_code}, error: {resp.text}"
)
elif resp.status != 200:
elif resp.status_code != 200:
raise LanceDBClientError(
f"Unknown Error: {resp.status}, error: {await resp.text()}"
f"Unknown Error: {resp.status_code}, error: {resp.text}"
)
@_check_not_closed
async def get(self, uri: str, params: Union[Dict[str, Any], BaseModel] = None):
def get(self, uri: str, params: Union[Dict[str, Any], BaseModel] = None):
"""Send a GET request and returns the deserialized response payload."""
if isinstance(params, BaseModel):
params: Dict[str, Any] = params.dict(exclude_none=True)
async with self.session.get(
uri,
with self.session.get(
urljoin(self.url, uri),
params=params,
headers=self.headers,
timeout=aiohttp.ClientTimeout(total=30),
timeout=(5.0, 30.0),
) as resp:
await self._check_status(resp)
return await resp.json()
self._check_status(resp)
return resp.json()
@_check_not_closed
async def post(
def post(
self,
uri: str,
data: Optional[Union[Dict[str, Any], BaseModel, bytes]] = None,
@@ -139,31 +143,26 @@ class RestfulLanceDBClient:
headers["content-type"] = content_type
if request_id is not None:
headers["x-request-id"] = request_id
async with self.session.post(
uri,
with self.session.post(
urljoin(self.url, uri),
headers=headers,
params=params,
timeout=aiohttp.ClientTimeout(total=30),
timeout=(5.0, 30.0),
**req_kwargs,
) as resp:
resp: aiohttp.ClientResponse = resp
await self._check_status(resp)
return await deserialize(resp)
self._check_status(resp)
return deserialize(resp)
@_check_not_closed
async def list_tables(
self, limit: int, page_token: Optional[str] = None
) -> Iterable[str]:
def list_tables(self, limit: int, page_token: Optional[str] = None) -> List[str]:
"""List all tables in the database."""
if page_token is None:
page_token = ""
json = await self.get("/v1/table/", {"limit": limit, "page_token": page_token})
json = self.get("/v1/table/", {"limit": limit, "page_token": page_token})
return json["tables"]
@_check_not_closed
async def query(self, table_name: str, query: VectorQuery) -> VectorQueryResult:
def query(self, table_name: str, query: VectorQuery) -> VectorQueryResult:
"""Query a table."""
tbl = await self.post(
f"/v1/table/{table_name}/query/", query, deserialize=_read_ipc
)
tbl = self.post(f"/v1/table/{table_name}/query/", query, deserialize=_read_ipc)
return VectorQueryResult(tbl)

View File

@@ -50,10 +50,6 @@ class RemoteDBConnection(DBConnection):
self._client = RestfulLanceDBClient(
self.db_name, region, api_key, host_override
)
try:
self._loop = asyncio.get_running_loop()
except RuntimeError:
self._loop = asyncio.get_event_loop()
def __repr__(self) -> str:
return f"RemoteConnect(name={self.db_name})"
@@ -76,9 +72,8 @@ class RemoteDBConnection(DBConnection):
An iterator of table names.
"""
while True:
result = self._loop.run_until_complete(
self._client.list_tables(limit, page_token)
)
result = self._client.list_tables(limit, page_token)
if len(result) > 0:
page_token = result[len(result) - 1]
else:
@@ -103,9 +98,7 @@ class RemoteDBConnection(DBConnection):
# check if table exists
try:
self._loop.run_until_complete(
self._client.post(f"/v1/table/{name}/describe/")
)
self._client.post(f"/v1/table/{name}/describe/")
except LanceDBClientError as err:
if str(err).startswith("Not found"):
logging.error(
@@ -248,14 +241,13 @@ class RemoteDBConnection(DBConnection):
data = to_ipc_binary(data)
request_id = uuid.uuid4().hex
self._loop.run_until_complete(
self._client.post(
f"/v1/table/{name}/create/",
data=data,
request_id=request_id,
content_type=ARROW_STREAM_CONTENT_TYPE,
)
self._client.post(
f"/v1/table/{name}/create/",
data=data,
request_id=request_id,
content_type=ARROW_STREAM_CONTENT_TYPE,
)
return RemoteTable(self, name)
@override
@@ -267,13 +259,11 @@ class RemoteDBConnection(DBConnection):
name: str
The name of the table.
"""
self._loop.run_until_complete(
self._client.post(
f"/v1/table/{name}/drop/",
)
self._client.post(
f"/v1/table/{name}/drop/",
)
async def close(self):
"""Close the connection to the database."""
self._loop.close()
await self._client.close()
self._client.close()

View File

@@ -43,18 +43,14 @@ class RemoteTable(Table):
of this Table
"""
resp = self._conn._loop.run_until_complete(
self._conn._client.post(f"/v1/table/{self._name}/describe/")
)
resp = self._conn._client.post(f"/v1/table/{self._name}/describe/")
schema = json_to_schema(resp["schema"])
return schema
@property
def version(self) -> int:
"""Get the current version of the table"""
resp = self._conn._loop.run_until_complete(
self._conn._client.post(f"/v1/table/{self._name}/describe/")
)
resp = self._conn._client.post(f"/v1/table/{self._name}/describe/")
return resp["version"]
def to_arrow(self) -> pa.Table:
@@ -116,9 +112,10 @@ class RemoteTable(Table):
"metric_type": metric,
"index_cache_size": index_cache_size,
}
resp = self._conn._loop.run_until_complete(
self._conn._client.post(f"/v1/table/{self._name}/create_index/", data=data)
resp = self._conn._client.post(
f"/v1/table/{self._name}/create_index/", data=data
)
return resp
def add(
@@ -161,13 +158,11 @@ class RemoteTable(Table):
request_id = uuid.uuid4().hex
self._conn._loop.run_until_complete(
self._conn._client.post(
f"/v1/table/{self._name}/insert/",
data=payload,
params={"request_id": request_id, "mode": mode},
content_type=ARROW_STREAM_CONTENT_TYPE,
)
self._conn._client.post(
f"/v1/table/{self._name}/insert/",
data=payload,
params={"request_id": request_id, "mode": mode},
content_type=ARROW_STREAM_CONTENT_TYPE,
)
def search(
@@ -233,19 +228,19 @@ class RemoteTable(Table):
and len(query.vector) > 0
and not isinstance(query.vector[0], float)
):
futures = []
results = []
for v in query.vector:
v = list(v)
q = query.copy()
q.vector = v
futures.append(self._conn._client.query(self._name, q))
result = self._conn._loop.run_until_complete(asyncio.gather(*futures))
results.append(self._conn._client.query(self._name, q))
return pa.concat_tables(
[add_index(r.to_arrow(), i) for i, r in enumerate(result)]
[add_index(r.to_arrow(), i) for i, r in enumerate(results)]
)
else:
result = self._conn._client.query(self._name, query)
return self._conn._loop.run_until_complete(result).to_arrow()
return result.to_arrow()
def delete(self, predicate: str):
"""Delete rows from the table.
@@ -294,9 +289,7 @@ class RemoteTable(Table):
0 2 [3.0, 4.0] 85.0 # doctest: +SKIP
"""
payload = {"predicate": predicate}
self._conn._loop.run_until_complete(
self._conn._client.post(f"/v1/table/{self._name}/delete/", data=payload)
)
self._conn._client.post(f"/v1/table/{self._name}/delete/", data=payload)
def update(
self,
@@ -356,9 +349,7 @@ class RemoteTable(Table):
updates = [[k, v] for k, v in values_sql.items()]
payload = {"predicate": where, "updates": updates}
self._conn._loop.run_until_complete(
self._conn._client.post(f"/v1/table/{self._name}/update/", data=payload)
)
self._conn._client.post(f"/v1/table/{self._name}/update/", data=payload)
def add_index(tbl: pa.Table, i: int) -> pa.Table:

View File

@@ -647,8 +647,19 @@ class LanceTable(Table):
self._dataset.restore()
self._reset_dataset()
def count_rows(self, filter: Optional[str] = None) -> int:
"""
Count the number of rows in the table.
Parameters
----------
filter: str, optional
A SQL where clause to filter the rows to count.
"""
return self._dataset.count_rows(filter)
def __len__(self):
return self._dataset.count_rows()
return self.count_rows()
def __repr__(self) -> str:
return f"LanceTable({self.name})"

View File

@@ -1,13 +1,12 @@
[project]
name = "lancedb"
version = "0.4.3"
version = "0.4.4"
dependencies = [
"deprecation",
"pylance==0.9.5",
"pylance==0.9.6",
"ratelimiter~=1.0",
"retry>=0.9.2",
"tqdm>=4.27.0",
"aiohttp",
"pydantic>=1.10",
"attrs>=21.3.0",
"semver>=3.0",
@@ -49,8 +48,8 @@ classifiers = [
repository = "https://github.com/lancedb/lancedb"
[project.optional-dependencies]
tests = ["pandas>=1.4", "pytest", "pytest-mock", "pytest-asyncio", "requests", "duckdb", "pytz"]
dev = ["ruff", "pre-commit", "black"]
tests = ["aiohttp", "pandas>=1.4", "pytest", "pytest-mock", "pytest-asyncio", "duckdb", "pytz"]
dev = ["ruff", "pre-commit"]
docs = ["mkdocs", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings[python]"]
clip = ["torch", "pillow", "open-clip"]
embeddings = ["openai>=1.6.1", "sentence-transformers", "torch", "pillow", "open-clip-torch", "cohere", "InstructorEmbedding"]
@@ -62,9 +61,6 @@ lancedb = "lancedb.cli.cli:cli"
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
[tool.isort]
profile = "black"
[tool.ruff]
select = ["F", "E", "W", "I", "G", "TCH", "PERF"]

View File

@@ -169,13 +169,16 @@ def test_syntax(table):
table.create_fts_index("text")
with pytest.raises(ValueError, match="Syntax Error"):
table.search("they could have been dogs OR cats").limit(10).to_list()
table.search("they could have been dogs OR cats").phrase_query().limit(10).to_list()
# this should work
table.search('"they could have been dogs OR cats"').limit(10).to_list()
# this should work too
table.search('''"the cats OR dogs were not really 'pets' at all"''').limit(
10
).to_list()
with pytest.raises(ValueError, match="Syntax Error"):
table.search('''"the cats OR dogs were not really "pets" at all"''').limit(
10
).to_list()
table.search('the cats OR dogs were not really "pets" at all').phrase_query().limit(
10
).to_list()
table.search('the cats OR dogs were not really "pets" at all').phrase_query().limit(
10
).to_list()

View File

@@ -18,15 +18,15 @@ from lancedb.remote.client import VectorQuery, VectorQueryResult
class FakeLanceDBClient:
async def close(self):
def close(self):
pass
async def query(self, table_name: str, query: VectorQuery) -> VectorQueryResult:
def query(self, table_name: str, query: VectorQuery) -> VectorQueryResult:
assert table_name == "test"
t = pa.schema([]).empty_table()
return VectorQueryResult(t)
async def post(self, path: str):
def post(self, path: str):
pass

View File

@@ -569,6 +569,14 @@ def test_empty_query(db):
val = df.id.iloc[0]
assert val == 1
table = LanceTable.create(db, "my_table2", data=[{"id": i} for i in range(100)])
df = table.search().select(["id"]).to_pandas()
assert len(df) == 10
df = table.search().select(["id"]).limit(None).to_pandas()
assert len(df) == 100
df = table.search().select(["id"]).limit(-1).to_pandas()
assert len(df) == 100
def test_compact_cleanup(db):
table = LanceTable.create(
@@ -597,3 +605,14 @@ def test_compact_cleanup(db):
with pytest.raises(Exception, match="Version 3 no longer exists"):
table.checkout(3)
def test_count_rows(db):
table = LanceTable.create(
db,
"my_table",
data=[{"text": "foo", "id": 0}, {"text": "bar", "id": 1}],
)
assert len(table) == 2
assert table.count_rows() == 2
assert table.count_rows(filter="text='bar'") == 1

View File

@@ -50,7 +50,7 @@ pub(crate) fn record_batch_to_buffer(batches: Vec<RecordBatch>) -> Result<Vec<u8
return Ok(Vec::new());
}
let schema = batches.get(0).unwrap().schema();
let schema = batches.first().unwrap().schema();
let mut fr = FileWriter::try_new(Vec::new(), schema.deref())?;
for batch in batches.iter() {
fr.write(batch)?