139 lines
4.7 KiB
Go
139 lines
4.7 KiB
Go
// Copyright 2022 PingCAP, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// 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 executor
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import (
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"context"
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"fmt"
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"github.com/pingcap/tidb/domain"
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"github.com/pingcap/tidb/infoschema"
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"github.com/pingcap/tidb/statistics"
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"github.com/pingcap/tidb/statistics/handle"
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"github.com/pingcap/tidb/types"
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"github.com/pingcap/tidb/util/logutil"
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"go.uber.org/zap"
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)
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type globalStatsKey struct {
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tableID int64
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indexID int64
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}
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type globalStatsInfo struct {
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isIndex int
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// When the `isIndex == 0`, histIDs will be the column IDs.
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// Otherwise, histIDs will only contain the index ID.
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histIDs []int64
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statsVersion int
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}
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// globalStatsMap is a map used to store which partition tables and the corresponding indexes need global-level stats.
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// The meaning of key in map is the structure that used to store the tableID and indexID.
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// The meaning of value in map is some additional information needed to build global-level stats.
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type globalStatsMap map[globalStatsKey]globalStatsInfo
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func (e *AnalyzeExec) handleGlobalStats(ctx context.Context, needGlobalStats bool, globalStatsMap globalStatsMap) error {
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if !needGlobalStats {
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return nil
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}
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globalStatsTableIDs := make(map[int64]struct{})
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for globalStatsID := range globalStatsMap {
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globalStatsTableIDs[globalStatsID.tableID] = struct{}{}
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}
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statsHandle := domain.GetDomain(e.ctx).StatsHandle()
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tableIDs := map[int64]struct{}{}
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for tableID := range globalStatsTableIDs {
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tableIDs[tableID] = struct{}{}
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tableAllPartitionStats := make(map[int64]*statistics.Table)
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for globalStatsID, info := range globalStatsMap {
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if globalStatsID.tableID != tableID {
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continue
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}
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job := e.newAnalyzeHandleGlobalStatsJob(globalStatsID)
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AddNewAnalyzeJob(e.ctx, job)
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StartAnalyzeJob(e.ctx, job)
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mergeStatsErr := func() error {
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globalOpts := e.opts
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if e.OptionsMap != nil {
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if v2Options, ok := e.OptionsMap[globalStatsID.tableID]; ok {
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globalOpts = v2Options.FilledOpts
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}
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}
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globalStats, err := statsHandle.MergePartitionStats2GlobalStatsByTableID(e.ctx, globalOpts, e.ctx.GetInfoSchema().(infoschema.InfoSchema),
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globalStatsID.tableID, info.isIndex, info.histIDs,
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tableAllPartitionStats)
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if err != nil {
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logutil.BgLogger().Error("merge global stats failed",
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zap.String("info", job.JobInfo), zap.Error(err), zap.Int64("tableID", tableID))
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if types.ErrPartitionStatsMissing.Equal(err) || types.ErrPartitionColumnStatsMissing.Equal(err) {
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// When we find some partition-level stats are missing, we need to report warning.
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e.ctx.GetSessionVars().StmtCtx.AppendWarning(err)
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}
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return err
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}
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for i := 0; i < globalStats.Num; i++ {
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hg, cms, topN := globalStats.Hg[i], globalStats.Cms[i], globalStats.TopN[i]
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// fms for global stats doesn't need to dump to kv.
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err = statsHandle.SaveStatsToStorage(globalStatsID.tableID,
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globalStats.Count,
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globalStats.ModifyCount,
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info.isIndex,
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hg,
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cms,
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topN,
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info.statsVersion,
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1,
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true,
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handle.StatsMetaHistorySourceAnalyze,
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)
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if err != nil {
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logutil.Logger(ctx).Error("save global-level stats to storage failed", zap.String("info", job.JobInfo),
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zap.Int64("histID", hg.ID), zap.Error(err), zap.Int64("tableID", tableID))
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}
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}
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return err
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}()
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FinishAnalyzeMergeJob(e.ctx, job, mergeStatsErr)
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}
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}
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for tableID := range tableIDs {
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// Dump stats to historical storage.
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if err := recordHistoricalStats(e.ctx, tableID); err != nil {
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logutil.BgLogger().Error("record historical stats failed", zap.Error(err))
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}
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}
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return nil
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}
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func (e *AnalyzeExec) newAnalyzeHandleGlobalStatsJob(key globalStatsKey) *statistics.AnalyzeJob {
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dom := domain.GetDomain(e.ctx)
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is := dom.InfoSchema()
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table, _ := is.TableByID(key.tableID)
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db, _ := is.SchemaByTable(table.Meta())
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dbName := db.Name.String()
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tableName := table.Meta().Name.String()
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jobInfo := fmt.Sprintf("merge global stats for %v.%v columns", dbName, tableName)
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if key.indexID != -1 {
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idxName := table.Meta().FindIndexNameByID(key.indexID)
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jobInfo = fmt.Sprintf("merge global stats for %v.%v's index %v", dbName, tableName, idxName)
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}
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return &statistics.AnalyzeJob{
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DBName: db.Name.String(),
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TableName: table.Meta().Name.String(),
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JobInfo: jobInfo,
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}
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}
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