mirror of
https://gitee.com/milvus-io/milvus.git
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c9d0c157ec
Signed-off-by: jaime <yun.zhang@zilliz.com>
97 lines
3.5 KiB
Go
97 lines
3.5 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 segments
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import (
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"context"
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"sync"
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"github.com/milvus-io/milvus/pkg/log"
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)
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// SegmentStats struct for segment statistics.
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type SegmentStats struct {
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SegmentID int64
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RowCount int64
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}
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// statisticOnSegments performs statistic on listed segments
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// all segment ids are validated before calling this function
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func statisticOnSegments(ctx context.Context, manager *Manager, segType SegmentType, segIDs []int64) ([]SegmentStats, error) {
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// results variables
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results := make([]SegmentStats, 0, len(segIDs))
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resultCh := make(chan SegmentStats, len(segIDs))
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// fetch seg statistics in goroutines
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var wg sync.WaitGroup
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for i, segID := range segIDs {
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wg.Add(1)
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go func(segID int64, i int) {
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defer wg.Done()
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seg := manager.Segment.GetWithType(segID, segType)
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if seg == nil {
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log.Warn("segment released while get statistics")
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return
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}
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resultCh <- SegmentStats{
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SegmentID: segID,
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RowCount: seg.RowNum(),
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}
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}(segID, i)
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}
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wg.Wait()
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close(resultCh)
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for result := range resultCh {
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results = append(results, result)
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}
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return results, nil
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}
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// statistic will do statistics on the historical segments the target segments in historical.
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// if segIDs is not specified, it will search on all the historical segments specified by partIDs.
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// if segIDs is specified, it will only search on the segments specified by the segIDs.
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// if partIDs is empty, it means all the partitions of the loaded collection or all the partitions loaded.
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func StatisticsHistorical(ctx context.Context, manager *Manager, collID int64, partIDs []int64, segIDs []int64) ([]SegmentStats, []int64, []int64, error) {
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var err error
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var result []SegmentStats
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var searchSegmentIDs []int64
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var searchPartIDs []int64
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searchPartIDs, searchSegmentIDs, err = validateOnHistorical(ctx, manager, collID, partIDs, segIDs)
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if err != nil {
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return result, searchSegmentIDs, searchPartIDs, err
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}
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result, err = statisticOnSegments(ctx, manager, SegmentTypeSealed, searchSegmentIDs)
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return result, searchPartIDs, searchSegmentIDs, err
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}
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// StatisticStreaming will do statistics all the target segments in streaming
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// if partIDs is empty, it means all the partitions of the loaded collection or all the partitions loaded.
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func StatisticStreaming(ctx context.Context, manager *Manager, collID int64, partIDs []int64, segIDs []int64) ([]SegmentStats, []int64, []int64, error) {
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var err error
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var result []SegmentStats
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var searchSegmentIDs []int64
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var searchPartIDs []int64
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searchPartIDs, searchSegmentIDs, err = validateOnStream(ctx, manager, collID, partIDs, segIDs)
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if err != nil {
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return result, searchSegmentIDs, searchPartIDs, err
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}
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result, err = statisticOnSegments(ctx, manager, SegmentTypeGrowing, searchSegmentIDs)
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return result, searchPartIDs, searchSegmentIDs, err
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}
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