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Currently, the index type AiSAQ RAM usage estimation is not being calculated correctly. AiSAQ index type consumes less RAM usage while loading the index than DISKANN does, and the query node module is missing the implementation of the RAM usage estimation for that AiSAQ index type. We suggest that the AiSAQ RAM usage estimation calculation should be as follows: UsedDiskMemoryRatioAisaq = 1024 (contrary to the UsedDiskMemoryRatio, which is 4) neededMemSize = indexInfo.IndexSize / UsedDiskMemoryRatioAisaq neededDiskSize = indexInfo.IndexSize Reported issue is #45247 --------- Signed-off-by: Lior Friedman <lior.friedman@il.kioxia.com> Signed-off-by: friedl <lior.friedman@kioxia.com> Co-authored-by: friedl <lior.friedman@kioxia.com>
263 lines
8.2 KiB
Go
263 lines
8.2 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 vecindexmgr
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/*
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#cgo pkg-config: milvus_core
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#include <stdlib.h> // free
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#include "segcore/vector_index_c.h"
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*/
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import "C"
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import (
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"bytes"
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"fmt"
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"sync"
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"unsafe"
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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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)
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const (
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BinaryFlag uint64 = 1 << 0
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Float32Flag uint64 = 1 << 1
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Float16Flag uint64 = 1 << 2
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BFloat16Flag uint64 = 1 << 3
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SparseFloat32Flag uint64 = 1 << 4
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Int8Flag uint64 = 1 << 5
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EmbeddingListFlag uint64 = 1 << 15
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// NOTrainFlag This flag indicates that there is no need to create any index structure
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NOTrainFlag uint64 = 1 << 16
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// KNNFlag This flag indicates that the index defaults to KNN search, meaning the recall rate is 100%
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KNNFlag uint64 = 1 << 17
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// GpuFlag This flag indicates that the index is deployed on GPU (need GPU devices)
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GpuFlag uint64 = 1 << 18
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// MmapFlag This flag indicates that the index support using mmap manage its mainly memory, which can significant improve the capacity
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MmapFlag uint64 = 1 << 19
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// MvFlag This flag indicates that the index support using materialized view to accelerate filtering search
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MvFlag uint64 = 1 << 20
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// DiskFlag This flag indicates that the index need disk
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DiskFlag uint64 = 1 << 21
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)
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type IndexType = string
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type VecIndexMgr interface {
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init()
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GetFeature(indexType IndexType) (uint64, bool)
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IsBinaryVectorSupport(indexType IndexType, isEmbeddingList bool) bool
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IsFloat32VectorSupport(indexType IndexType, isEmbeddingList bool) bool
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IsFloat16VectorSupport(indexType IndexType, isEmbeddingList bool) bool
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IsBFloat16VectorSupport(indexType IndexType, isEmbeddingList bool) bool
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IsSparseFloat32VectorSupport(indexType IndexType, isEmbeddingList bool) bool
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IsInt8VectorSupport(indexType IndexType, isEmbeddingList bool) bool
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IsDataTypeSupport(indexType IndexType, dataType schemapb.DataType, elementType schemapb.DataType) bool
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IsFlatVecIndex(indexType IndexType) bool
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IsNoTrainIndex(indexType IndexType) bool
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IsVecIndex(indexType IndexType) bool
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IsDiskANN(indexType IndexType) bool
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IsAISAQ(indexType IndexType) bool
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IsGPUVecIndex(indexType IndexType) bool
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IsDiskVecIndex(indexType IndexType) bool
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IsMMapSupported(indexType IndexType) bool
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IsMvSupported(indexType IndexType) bool
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}
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type vecIndexMgrImpl struct {
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features map[string]uint64
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once sync.Once
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}
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func (mgr *vecIndexMgrImpl) GetFeature(indexType IndexType) (uint64, bool) {
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feature, ok := mgr.features[indexType]
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if !ok {
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return 0, false
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}
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return feature, true
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}
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func (mgr *vecIndexMgrImpl) IsNoTrainIndex(indexType IndexType) bool {
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feature, ok := mgr.GetFeature(indexType)
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if !ok {
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return false
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}
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return (feature & NOTrainFlag) == NOTrainFlag
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}
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func (mgr *vecIndexMgrImpl) IsDiskANN(indexType IndexType) bool {
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return indexType == "DISKANN"
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}
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func (mgr *vecIndexMgrImpl) IsAISAQ(indexType IndexType) bool {
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return indexType == "AISAQ"
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}
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func (mgr *vecIndexMgrImpl) init() {
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size := int(C.GetIndexListSize())
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if size == 0 {
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log.Error("get empty vector index features from vector index engine")
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return
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}
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vecIndexList := make([]unsafe.Pointer, size)
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vecIndexFeatures := make([]uint64, size)
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C.GetIndexFeatures(unsafe.Pointer(&vecIndexList[0]), (*C.uint64_t)(unsafe.Pointer(&vecIndexFeatures[0])))
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mgr.features = make(map[string]uint64)
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var featureLog bytes.Buffer
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for i := 0; i < size; i++ {
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key := C.GoString((*C.char)(vecIndexList[i]))
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mgr.features[key] = vecIndexFeatures[i]
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featureLog.WriteString(key + " : " + fmt.Sprintf("%d", vecIndexFeatures[i]) + ",")
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}
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log.Info("init vector indexes with features : " + featureLog.String())
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}
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func (mgr *vecIndexMgrImpl) isVectorTypeSupported(indexType IndexType, vectorFlag uint64, isEmbeddingList bool) bool {
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feature, ok := mgr.GetFeature(indexType)
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if !ok {
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return false
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}
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// check if the vector type is supported
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if (feature & vectorFlag) != vectorFlag {
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return false
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}
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// if it is embedding list, also check EmbeddingListFlag
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if isEmbeddingList && (feature&EmbeddingListFlag) != EmbeddingListFlag {
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return false
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}
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return true
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}
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func (mgr *vecIndexMgrImpl) IsBinaryVectorSupport(indexType IndexType, isEmbeddingList bool) bool {
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return mgr.isVectorTypeSupported(indexType, BinaryFlag, isEmbeddingList)
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}
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func (mgr *vecIndexMgrImpl) IsFloat32VectorSupport(indexType IndexType, isEmbeddingList bool) bool {
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return mgr.isVectorTypeSupported(indexType, Float32Flag, isEmbeddingList)
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}
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func (mgr *vecIndexMgrImpl) IsFloat16VectorSupport(indexType IndexType, isEmbeddingList bool) bool {
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return mgr.isVectorTypeSupported(indexType, Float16Flag, isEmbeddingList)
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}
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func (mgr *vecIndexMgrImpl) IsBFloat16VectorSupport(indexType IndexType, isEmbeddingList bool) bool {
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return mgr.isVectorTypeSupported(indexType, BFloat16Flag, isEmbeddingList)
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}
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func (mgr *vecIndexMgrImpl) IsSparseFloat32VectorSupport(indexType IndexType, isEmbeddingList bool) bool {
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return mgr.isVectorTypeSupported(indexType, SparseFloat32Flag, isEmbeddingList)
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}
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func (mgr *vecIndexMgrImpl) IsInt8VectorSupport(indexType IndexType, isEmbeddingList bool) bool {
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return mgr.isVectorTypeSupported(indexType, Int8Flag, isEmbeddingList)
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}
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func (mgr *vecIndexMgrImpl) IsDataTypeSupport(indexType IndexType, 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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if dataType == schemapb.DataType_BinaryVector {
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return mgr.IsBinaryVectorSupport(indexType, isEmbeddingList)
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} else if dataType == schemapb.DataType_FloatVector {
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return mgr.IsFloat32VectorSupport(indexType, isEmbeddingList)
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} else if dataType == schemapb.DataType_BFloat16Vector {
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return mgr.IsBFloat16VectorSupport(indexType, isEmbeddingList)
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} else if dataType == schemapb.DataType_Float16Vector {
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return mgr.IsFloat16VectorSupport(indexType, isEmbeddingList)
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} else if dataType == schemapb.DataType_SparseFloatVector {
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return mgr.IsSparseFloat32VectorSupport(indexType, isEmbeddingList)
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} else if dataType == schemapb.DataType_Int8Vector {
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return mgr.IsInt8VectorSupport(indexType, isEmbeddingList)
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}
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return false
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}
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func (mgr *vecIndexMgrImpl) IsFlatVecIndex(indexType IndexType) bool {
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feature, ok := mgr.features[indexType]
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if !ok {
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return false
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}
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return (feature & KNNFlag) == KNNFlag
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}
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func (mgr *vecIndexMgrImpl) IsMvSupported(indexType IndexType) bool {
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feature, ok := mgr.GetFeature(indexType)
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if !ok {
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return false
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}
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return (feature & MvFlag) == MvFlag
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}
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func (mgr *vecIndexMgrImpl) IsGPUVecIndex(indexType IndexType) bool {
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feature, ok := mgr.GetFeature(indexType)
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if !ok {
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return false
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}
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return (feature & GpuFlag) == GpuFlag
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}
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func (mgr *vecIndexMgrImpl) IsMMapSupported(indexType IndexType) bool {
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feature, ok := mgr.GetFeature(indexType)
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if !ok {
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return false
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}
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return (feature & MmapFlag) == MmapFlag
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}
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func (mgr *vecIndexMgrImpl) IsVecIndex(indexType IndexType) bool {
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_, ok := mgr.GetFeature(indexType)
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return ok
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}
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func (mgr *vecIndexMgrImpl) IsDiskVecIndex(indexType IndexType) bool {
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feature, ok := mgr.GetFeature(indexType)
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if !ok {
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return false
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}
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return (feature & DiskFlag) == DiskFlag
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}
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func newVecIndexMgr() *vecIndexMgrImpl {
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mgr := &vecIndexMgrImpl{}
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mgr.once.Do(mgr.init)
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return mgr
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}
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var vecIndexMgr VecIndexMgr
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var getVecIndexMgrOnce sync.Once
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// GetVecIndexMgrInstance gets the instance of VecIndexMgrInstance.
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func GetVecIndexMgrInstance() VecIndexMgr {
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getVecIndexMgrOnce.Do(func() {
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vecIndexMgr = newVecIndexMgr()
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})
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return vecIndexMgr
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}
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