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d6a428e880
Ref https://github.com/milvus-io/milvus/issues/42148 This PR supports create index for vector array (now, only for `DataType.FLOAT_VECTOR`) and search on it. The index type supported in this PR is `EMB_LIST_HNSW` and the metric type is `MAX_SIM` only. The way to use it: ```python milvus_client = MilvusClient("xxx:19530") schema = milvus_client.create_schema(enable_dynamic_field=True, auto_id=True) ... struct_schema = milvus_client.create_struct_array_field_schema("struct_array_field") ... struct_schema.add_field("struct_float_vec", DataType.ARRAY_OF_VECTOR, element_type=DataType.FLOAT_VECTOR, dim=128, max_capacity=1000) ... schema.add_struct_array_field(struct_schema) index_params = milvus_client.prepare_index_params() index_params.add_index(field_name="struct_float_vec", index_type="EMB_LIST_HNSW", metric_type="MAX_SIM", index_params={"nlist": 128}) ... milvus_client.create_index(COLLECTION_NAME, schema=schema, index_params=index_params) ``` Note: This PR uses `Lims` to convey offsets of the vector array to knowhere where vectors of multiple vector arrays are concatenated and we need offsets to specify which vectors belong to which vector array. --------- Signed-off-by: SpadeA <tangchenjie1210@gmail.com> Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
82 lines
2.2 KiB
Go
82 lines
2.2 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package proxy
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/*
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#cgo pkg-config: milvus_core
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#include "segcore/check_vec_index_c.h"
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#include <stdlib.h>
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*/
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import "C"
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import (
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"runtime"
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"sync"
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"unsafe"
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"go.uber.org/atomic"
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"go.uber.org/zap"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/pkg/v2/log"
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"github.com/milvus-io/milvus/pkg/v2/util/conc"
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"github.com/milvus-io/milvus/pkg/v2/util/hardware"
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)
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var (
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dp atomic.Pointer[conc.Pool[any]]
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dynOnce sync.Once
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)
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func initDynamicPool() {
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dynOnce.Do(func() {
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pool := conc.NewPool[any](
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hardware.GetCPUNum(),
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conc.WithPreAlloc(false),
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conc.WithDisablePurge(false),
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conc.WithPreHandler(runtime.LockOSThread), // lock os thread for cgo thread disposal
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)
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dp.Store(pool)
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log.Info("init dynamicPool done", zap.Int("size", hardware.GetCPUNum()))
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})
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}
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// GetDynamicPool returns the singleton pool for dynamic cgo operations.
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func GetDynamicPool() *conc.Pool[any] {
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initDynamicPool()
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return dp.Load()
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}
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func CheckVecIndexWithDataTypeExist(name string, dataType schemapb.DataType, elementType schemapb.DataType) bool {
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isEmbeddingList := dataType == schemapb.DataType_ArrayOfVector
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if isEmbeddingList {
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dataType = elementType
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}
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var result bool
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GetDynamicPool().Submit(func() (any, error) {
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cIndexName := C.CString(name)
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cType := uint32(dataType)
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defer C.free(unsafe.Pointer(cIndexName))
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result = bool(C.CheckVecIndexWithDataType(cIndexName, cType, C.bool(isEmbeddingList)))
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return nil, nil
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}).Await()
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return result
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}
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