diff --git a/engine/clients/client_factory.py b/engine/clients/client_factory.py index a74df2ab..f274b2a3 100644 --- a/engine/clients/client_factory.py +++ b/engine/clients/client_factory.py @@ -12,6 +12,7 @@ ElasticSearcher, ElasticUploader, ) +from engine.clients.lancedb import LancedbConfigurator, LancedbSearcher, LancedbUploader from engine.clients.milvus import MilvusConfigurator, MilvusSearcher, MilvusUploader from engine.clients.opensearch import ( OpenSearchConfigurator, @@ -39,6 +40,7 @@ "opensearch": OpenSearchConfigurator, "redis": RedisConfigurator, "pgvector": PgVectorConfigurator, + "lancedb": LancedbConfigurator, } ENGINE_UPLOADERS = { @@ -49,6 +51,7 @@ "opensearch": OpenSearchUploader, "redis": RedisUploader, "pgvector": PgVectorUploader, + "lancedb": LancedbUploader, } ENGINE_SEARCHERS = { @@ -59,6 +62,7 @@ "opensearch": OpenSearchSearcher, "redis": RedisSearcher, "pgvector": PgVectorSearcher, + "lancedb": LancedbSearcher, } diff --git a/engine/clients/lancedb/__init__.py b/engine/clients/lancedb/__init__.py new file mode 100644 index 00000000..55a4404c --- /dev/null +++ b/engine/clients/lancedb/__init__.py @@ -0,0 +1,9 @@ +from engine.clients.lancedb.configure import LancedbConfigurator +from engine.clients.lancedb.search import LancedbSearcher +from engine.clients.lancedb.upload import LancedbUploader + +__all__ = [ + "LancedbConfigurator", + "LancedbSearcher", + "LancedbUploader", +] diff --git a/engine/clients/lancedb/config.py b/engine/clients/lancedb/config.py new file mode 100644 index 00000000..53d07c53 --- /dev/null +++ b/engine/clients/lancedb/config.py @@ -0,0 +1,3 @@ +import os + +LANCEDB_COLLECTION_NAME = os.getenv("LANCEDB_COLLECTION_NAME", "benchmark") diff --git a/engine/clients/lancedb/configure.py b/engine/clients/lancedb/configure.py new file mode 100644 index 00000000..c3059de6 --- /dev/null +++ b/engine/clients/lancedb/configure.py @@ -0,0 +1,55 @@ +import lancedb +import pyarrow as pa + +from benchmark.dataset import Dataset +from engine.base_client.configure import BaseConfigurator +from engine.base_client.distances import Distance +from engine.clients.lancedb.config import LANCEDB_COLLECTION_NAME + + +class LancedbConfigurator(BaseConfigurator): + + DISTANCE_MAPPING = { + Distance.L2: "l2", + Distance.COSINE: "cosine", + Distance.DOT: "dot", + } + + DTYPE_MAPPING = { + "int": pa.int64(), + "keyword": pa.string(), + "text": pa.string(), + "float": pa.float32(), + } + + def __init__(self, host, collection_params: dict, connection_params: dict): + super().__init__(host, collection_params, connection_params) + uri = "~/.lancedb" + self.client = lancedb.connect(uri, **connection_params) + + def clean(self): + """ + Delete a collection and all associated embeddings, documents, and metadata. + + This is destructive and not reversible. + """ + try: + self.client.drop_table(LANCEDB_COLLECTION_NAME) + except (Exception, ValueError): + pass + + def recreate(self, dataset: Dataset, collection_params): + schema = pa.schema( + [ + pa.field( + "vector", + pa.list_(pa.float32(), list_size=dataset.config.vector_size), + ), + pa.field("id", pa.int64()), + ] + + [ + pa.field(field_name, self.DTYPE_MAPPING.get(field_type)) + for field_name, field_type in dataset.config.schema.items() + ] + ) + self.client.create_table(name=LANCEDB_COLLECTION_NAME, schema=schema) diff --git a/engine/clients/lancedb/parser.py b/engine/clients/lancedb/parser.py new file mode 100644 index 00000000..49894135 --- /dev/null +++ b/engine/clients/lancedb/parser.py @@ -0,0 +1,44 @@ +from typing import List, Optional + +from engine.base_client import IncompatibilityError +from engine.base_client.parser import BaseConditionParser, FieldValue + + +class LancedbConditionParser(BaseConditionParser): + def build_condition( + self, and_subfilters: Optional[List[str]], or_subfilters: Optional[List[str]] + ) -> str: + condition: str = "" + if and_subfilters is not None: + condition += " AND ".join(and_subfilters) + + if or_subfilters is not None: + condition += " OR ".join(or_subfilters) + return condition + + def build_exact_match_filter(self, field_name: str, value: FieldValue) -> str: + return f"({field_name} = {value})" + + def build_range_filter( + self, + field_name: str, + lt: Optional[FieldValue], + gt: Optional[FieldValue], + lte: Optional[FieldValue], + gte: Optional[FieldValue], + ) -> str: + out = [] + if lt: + out.append(f"({field_name} < {lt})") + if gt: + out.append(f"({field_name} > {gt})") + if lte: + out.append(f"({field_name} <= {lte})") + if gte: + out.append(f"({field_name} >= {gte})") + return "(" + " AND ".join(out) + ")" + + def build_geo_filter( + self, field_name: str, lat: float, lon: float, radius: float + ) -> str: + raise IncompatibilityError diff --git a/engine/clients/lancedb/search.py b/engine/clients/lancedb/search.py new file mode 100644 index 00000000..d82d2a05 --- /dev/null +++ b/engine/clients/lancedb/search.py @@ -0,0 +1,36 @@ +from typing import List, Tuple + +import lancedb +from lancedb import DBConnection +from lancedb.query import LanceVectorQueryBuilder + +from dataset_reader.base_reader import Query +from engine.base_client.search import BaseSearcher +from engine.clients.lancedb import LancedbConfigurator +from engine.clients.lancedb.config import LANCEDB_COLLECTION_NAME +from engine.clients.lancedb.parser import LancedbConditionParser + + +class LancedbSearcher(BaseSearcher): + client: DBConnection = None + parser = LancedbConditionParser() + + @classmethod + def init_client(cls, host, distance, connection_params: dict, search_params: dict): + uri = "~/.lancedb" + cls.client = lancedb.connect(uri, **connection_params) + cls.distance = distance + + @classmethod + def search_one(cls, query: Query, top: int) -> List[Tuple[int, float]]: + tbl = cls.client.open_table(name=LANCEDB_COLLECTION_NAME) + df: LanceVectorQueryBuilder = tbl.search(query.vector) + results = ( + df.metric(LancedbConfigurator.DISTANCE_MAPPING.get(cls.distance)) + .where(cls.parser.parse(query.meta_conditions), prefilter=True) + .select(["id"]) + .limit(top) + .to_list() + ) + + return [(result["id"], result["_distance"]) for result in results] diff --git a/engine/clients/lancedb/upload.py b/engine/clients/lancedb/upload.py new file mode 100644 index 00000000..39112f99 --- /dev/null +++ b/engine/clients/lancedb/upload.py @@ -0,0 +1,79 @@ +from typing import List + +import lancedb +import pyarrow as pa +from lancedb import DBConnection +from lancedb.table import Table + +from dataset_reader.base_reader import Record +from engine.base_client.upload import BaseUploader +from engine.clients.lancedb.config import LANCEDB_COLLECTION_NAME + + +class LancedbUploader(BaseUploader): + client: DBConnection = None + upload_params = {} + + @classmethod + def init_client(cls, host, distance, connection_params, upload_params): + uri = "~/.lancedb" + cls.client = lancedb.connect(uri, **connection_params) + cls.upload_params = upload_params + + @classmethod + def upload_batch(cls, batch: List[Record]): + data = [ + {"vector": point.vector, "id": point.id, **(point.metadata or {})} + for point in batch + ] + tbl = cls.client.open_table(name=LANCEDB_COLLECTION_NAME) + + i = 15 + while True: + try: + tbl.add(data) + except OSError as e: + # https://lancedb.github.io/lance/format.html#conflict-resolution + i -= 1 + if i == 0: + raise OSError( + "After 15 attempts, the conflict could not be resolved." + ) from e + continue + return + + @classmethod + def get_correct_num_sub_vectors(cls, num_sub_vectors: int, tbl: Table): + # OSError: Invalid user input: num_sub_vectors must divide vector dimension 100, but got 64 + # Workaround to get dataset.config.vector_size + field = tbl.schema.field("vector") + if not pa.types.is_fixed_size_list(field.type): + return num_sub_vectors + list_type: pa.FixedSizeListType = field.type + vector_dimension = list_type.list_size + + def closest_divisor(a, b): + # Find all divisors of a + divisors = [i for i in range(1, a + 1) if a % i == 0] + # Find the divisor closest to b + closest = min(divisors, key=lambda x: abs(x - b)) + return closest + + return closest_divisor(vector_dimension, num_sub_vectors) + + @classmethod + def post_upload(cls, _distance): + # Create and train the index - you need to have enough data in the table for an effective training step + tbl = cls.client.open_table(name=LANCEDB_COLLECTION_NAME) + + indices = cls.upload_params.get("indices", []) + for index in indices: + num_sub_vectors = cls.get_correct_num_sub_vectors( + index["num_sub_vectors"], tbl + ) + tbl.create_index( + num_partitions=index["num_partitions"], + num_sub_vectors=num_sub_vectors, + metric=_distance, + ) + return {} diff --git a/experiments/configurations/lancedb-single-node.json b/experiments/configurations/lancedb-single-node.json new file mode 100644 index 00000000..7508e2b7 --- /dev/null +++ b/experiments/configurations/lancedb-single-node.json @@ -0,0 +1,76 @@ +[ + { + "name": "lancedb-default", + "engine": "lancedb", + "connection_params": {}, + "collection_params": { + }, + "search_params": [ + { + "parallel": 8, + "config": {} + } + ], + "upload_params": { + "parallel": 16, + "batch_size": 1024 + } + }, + { + "name": "lancedb-p-256-sv-64", + "engine": "lancedb", + "connection_params": {}, + "collection_params": {}, + "search_params": [ + { "parallel": 1, "config": {} }, + { "parallel": 100, "config": {} } + ], + "upload_params": { + "parallel": 16, + "indices": [ + { + "num_partitions": 256, + "num_sub_vectors": 64 + } + ] + } + }, + { + "name": "lancedb-p-256-sv-16", + "engine": "lancedb", + "connection_params": {}, + "collection_params": {}, + "search_params": [ + { "parallel": 1, "config": {} }, + { "parallel": 100, "config": {} } + ], + "upload_params": { + "parallel": 16, + "indices": [ + { + "num_partitions": 256, + "num_sub_vectors": 16 + } + ] + } + }, + { + "name": "lancedb-p-512-sv-8", + "engine": "lancedb", + "connection_params": {}, + "collection_params": {}, + "search_params": [ + { "parallel": 1, "config": {} }, + { "parallel": 100, "config": {} } + ], + "upload_params": { + "parallel": 16, + "indices": [ + { + "num_partitions": 512, + "num_sub_vectors": 8 + } + ] + } + } +] diff --git a/experiments/configurations/lancedb-single-node.md b/experiments/configurations/lancedb-single-node.md new file mode 100644 index 00000000..71fc5d53 --- /dev/null +++ b/experiments/configurations/lancedb-single-node.md @@ -0,0 +1,17 @@ +# lancedb Parameters + +See https://lancedb.github.io/lancedb/ann_indexes/#how-to-choose-num_partitions-and-num_sub_vectors-for-ivf_pq-index + +## search_params + "parallel": 1,8,100, + "config": {} + +## upload_params + "parallel": 16, + "batch_size": 1024, + "indices": [ + { + "num_partitions": 256,512, + "num_sub_vectors": 8,16,64 + } + ] diff --git a/poetry.lock b/poetry.lock index ae96c371..b99ebbdf 100644 --- 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"^0.12.0" [tool.poetry.dev-dependencies] pre-commit = "^2.20.0"