// Copyright 2017 PingCAP, Inc. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // See the License for the specific language governing permissions and // limitations under the License. package executor import ( "strconv" "time" "github.com/juju/errors" "github.com/pingcap/tidb/distsql" "github.com/pingcap/tidb/domain" "github.com/pingcap/tidb/kv" "github.com/pingcap/tidb/model" "github.com/pingcap/tidb/mysql" "github.com/pingcap/tidb/sessionctx" "github.com/pingcap/tidb/sessionctx/variable" "github.com/pingcap/tidb/statistics" "github.com/pingcap/tidb/tablecodec" "github.com/pingcap/tidb/util/chunk" "github.com/pingcap/tidb/util/ranger" "github.com/pingcap/tipb/go-tipb" log "github.com/sirupsen/logrus" "golang.org/x/net/context" ) var _ Executor = &AnalyzeExec{} // AnalyzeExec represents Analyze executor. type AnalyzeExec struct { baseExecutor tasks []*analyzeTask } const ( maxSampleSize = 10000 maxRegionSampleSize = 1000 maxSketchSize = 10000 maxBucketSize = 256 defaultCMSketchDepth = 5 defaultCMSketchWidth = 2048 ) // Next implements the Executor Next interface. func (e *AnalyzeExec) Next(ctx context.Context, chk *chunk.Chunk) error { concurrency, err := getBuildStatsConcurrency(e.ctx) if err != nil { return errors.Trace(err) } taskCh := make(chan *analyzeTask, len(e.tasks)) resultCh := make(chan statistics.AnalyzeResult, len(e.tasks)) for i := 0; i < concurrency; i++ { go e.analyzeWorker(taskCh, resultCh) } for _, task := range e.tasks { taskCh <- task } close(taskCh) dom := domain.GetDomain(e.ctx) lease := dom.StatsHandle().Lease if lease > 0 { var err1 error for i := 0; i < len(e.tasks); i++ { result := <-resultCh if result.Err != nil { err1 = result.Err log.Error(errors.ErrorStack(err1)) continue } dom.StatsHandle().AnalyzeResultCh() <- &result } // We sleep two lease to make sure other tidb node has updated this node. time.Sleep(lease * 2) return errors.Trace(err1) } results := make([]statistics.AnalyzeResult, 0, len(e.tasks)) var err1 error for i := 0; i < len(e.tasks); i++ { result := <-resultCh if result.Err != nil { err1 = result.Err log.Error(errors.ErrorStack(err1)) continue } results = append(results, result) } if err1 != nil { return errors.Trace(err1) } for _, result := range results { for i, hg := range result.Hist { err = statistics.SaveStatsToStorage(e.ctx, result.TableID, result.Count, result.IsIndex, hg, result.Cms[i]) if err != nil { return errors.Trace(err) } } } err = dom.StatsHandle().Update(GetInfoSchema(e.ctx)) if err != nil { return errors.Trace(err) } return nil } func getBuildStatsConcurrency(ctx sessionctx.Context) (int, error) { sessionVars := ctx.GetSessionVars() concurrency, err := variable.GetSessionSystemVar(sessionVars, variable.TiDBBuildStatsConcurrency) if err != nil { return 0, errors.Trace(err) } c, err := strconv.ParseInt(concurrency, 10, 64) return int(c), errors.Trace(err) } type taskType int const ( colTask taskType = iota idxTask ) type analyzeTask struct { taskType taskType idxExec *AnalyzeIndexExec colExec *AnalyzeColumnsExec } func (e *AnalyzeExec) analyzeWorker(taskCh <-chan *analyzeTask, resultCh chan<- statistics.AnalyzeResult) { for task := range taskCh { switch task.taskType { case colTask: resultCh <- analyzeColumnsPushdown(task.colExec) case idxTask: resultCh <- analyzeIndexPushdown(task.idxExec) } } } func analyzeIndexPushdown(idxExec *AnalyzeIndexExec) statistics.AnalyzeResult { hist, cms, err := idxExec.buildStats() if err != nil { return statistics.AnalyzeResult{Err: err} } result := statistics.AnalyzeResult{ TableID: idxExec.tblInfo.ID, Hist: []*statistics.Histogram{hist}, Cms: []*statistics.CMSketch{cms}, IsIndex: 1, } if hist.Len() > 0 { result.Count = hist.Buckets[hist.Len()-1].Count } return result } // AnalyzeIndexExec represents analyze index push down executor. type AnalyzeIndexExec struct { ctx sessionctx.Context tblInfo *model.TableInfo idxInfo *model.IndexInfo concurrency int priority int analyzePB *tipb.AnalyzeReq result distsql.SelectResult } func (e *AnalyzeIndexExec) open() error { var builder distsql.RequestBuilder kvReq, err := builder.SetIndexRanges(e.ctx.GetSessionVars().StmtCtx, e.tblInfo.ID, e.idxInfo.ID, ranger.FullRange()). SetAnalyzeRequest(e.analyzePB). SetKeepOrder(true). Build() kvReq.Concurrency = e.concurrency kvReq.IsolationLevel = kv.RC ctx := context.TODO() e.result, err = distsql.Analyze(ctx, e.ctx.GetClient(), kvReq, e.ctx.GetSessionVars().KVVars) if err != nil { return errors.Trace(err) } e.result.Fetch(ctx) return nil } func (e *AnalyzeIndexExec) buildStats() (hist *statistics.Histogram, cms *statistics.CMSketch, err error) { if err = e.open(); err != nil { return nil, nil, errors.Trace(err) } defer func() { if err1 := e.result.Close(); err1 != nil { hist = nil cms = nil err = errors.Trace(err1) } }() hist = &statistics.Histogram{} cms = statistics.NewCMSketch(defaultCMSketchDepth, defaultCMSketchWidth) for { data, err := e.result.NextRaw(context.TODO()) if err != nil { return nil, nil, errors.Trace(err) } if data == nil { break } resp := &tipb.AnalyzeIndexResp{} err = resp.Unmarshal(data) if err != nil { return nil, nil, errors.Trace(err) } hist, err = statistics.MergeHistograms(e.ctx.GetSessionVars().StmtCtx, hist, statistics.HistogramFromProto(resp.Hist), maxBucketSize) if err != nil { return nil, nil, errors.Trace(err) } if resp.Cms != nil { err := cms.MergeCMSketch(statistics.CMSketchFromProto(resp.Cms)) if err != nil { return nil, nil, errors.Trace(err) } } } hist.ID = e.idxInfo.ID return hist, cms, nil } func analyzeColumnsPushdown(colExec *AnalyzeColumnsExec) statistics.AnalyzeResult { hists, cms, err := colExec.buildStats() if err != nil { return statistics.AnalyzeResult{Err: err} } result := statistics.AnalyzeResult{ TableID: colExec.tblInfo.ID, Hist: hists, Cms: cms, } hist := hists[0] result.Count = hist.NullCount if hist.Len() > 0 { result.Count += hist.Buckets[hist.Len()-1].Count } return result } // AnalyzeColumnsExec represents Analyze columns push down executor. type AnalyzeColumnsExec struct { ctx sessionctx.Context tblInfo *model.TableInfo colsInfo []*model.ColumnInfo pkInfo *model.ColumnInfo concurrency int priority int keepOrder bool analyzePB *tipb.AnalyzeReq resultHandler *tableResultHandler } func (e *AnalyzeColumnsExec) open() error { var ranges []*ranger.Range if e.pkInfo != nil { ranges = ranger.FullIntRange(mysql.HasUnsignedFlag(e.pkInfo.Flag)) } else { ranges = ranger.FullIntRange(false) } e.resultHandler = &tableResultHandler{} firstPartRanges, secondPartRanges := splitRanges(ranges, e.keepOrder) firstResult, err := e.buildResp(firstPartRanges) if err != nil { return errors.Trace(err) } if len(secondPartRanges) == 0 { e.resultHandler.open(nil, firstResult) return nil } var secondResult distsql.SelectResult secondResult, err = e.buildResp(secondPartRanges) if err != nil { return errors.Trace(err) } e.resultHandler.open(firstResult, secondResult) return nil } func (e *AnalyzeColumnsExec) buildResp(ranges []*ranger.Range) (distsql.SelectResult, error) { var builder distsql.RequestBuilder kvReq, err := builder.SetTableRanges(e.tblInfo.ID, ranges, nil). SetAnalyzeRequest(e.analyzePB). SetKeepOrder(e.keepOrder). Build() kvReq.IsolationLevel = kv.RC kvReq.Concurrency = e.concurrency if err != nil { return nil, errors.Trace(err) } ctx := context.TODO() result, err := distsql.Analyze(ctx, e.ctx.GetClient(), kvReq, e.ctx.GetSessionVars().KVVars) if err != nil { return nil, errors.Trace(err) } result.Fetch(ctx) return result, nil } func (e *AnalyzeColumnsExec) buildStats() (hists []*statistics.Histogram, cms []*statistics.CMSketch, err error) { if err = e.open(); err != nil { return nil, nil, errors.Trace(err) } defer func() { if err1 := e.resultHandler.Close(); err1 != nil { hists = nil cms = nil err = errors.Trace(err1) } }() pkHist := &statistics.Histogram{} collectors := make([]*statistics.SampleCollector, len(e.colsInfo)) for i := range collectors { collectors[i] = &statistics.SampleCollector{ IsMerger: true, FMSketch: statistics.NewFMSketch(maxSketchSize), MaxSampleSize: maxSampleSize, CMSketch: statistics.NewCMSketch(defaultCMSketchDepth, defaultCMSketchWidth), } } for { data, err1 := e.resultHandler.nextRaw(context.TODO()) if err1 != nil { return nil, nil, errors.Trace(err1) } if data == nil { break } resp := &tipb.AnalyzeColumnsResp{} err = resp.Unmarshal(data) if err != nil { return nil, nil, errors.Trace(err) } sc := e.ctx.GetSessionVars().StmtCtx if e.pkInfo != nil { pkHist, err = statistics.MergeHistograms(sc, pkHist, statistics.HistogramFromProto(resp.PkHist), maxBucketSize) if err != nil { return nil, nil, errors.Trace(err) } } for i, rc := range resp.Collectors { collectors[i].MergeSampleCollector(sc, statistics.SampleCollectorFromProto(rc)) } } timeZone := e.ctx.GetSessionVars().GetTimeZone() if e.pkInfo != nil { pkHist.ID = e.pkInfo.ID err = pkHist.DecodeTo(&e.pkInfo.FieldType, timeZone) if err != nil { return nil, nil, errors.Trace(err) } hists = append(hists, pkHist) cms = append(cms, nil) } for i, col := range e.colsInfo { for j, s := range collectors[i].Samples { collectors[i].Samples[j], err = tablecodec.DecodeColumnValue(s.GetBytes(), &col.FieldType, timeZone) if err != nil { return nil, nil, errors.Trace(err) } } hg, err := statistics.BuildColumn(e.ctx, maxBucketSize, col.ID, collectors[i], &col.FieldType) if err != nil { return nil, nil, errors.Trace(err) } hists = append(hists, hg) cms = append(cms, collectors[i].CMSketch) } return hists, cms, nil }