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342 lines
9.8 KiB
342 lines
9.8 KiB
// Copyright 2017 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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// See the License for the specific language governing permissions and
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// limitations under the License.
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package handle
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import (
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"context"
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"fmt"
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"github.com/cznic/mathutil"
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"github.com/pingcap/errors"
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"github.com/pingcap/parser/model"
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"github.com/pingcap/parser/mysql"
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"github.com/pingcap/parser/terror"
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"github.com/pingcap/tidb/infoschema"
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"github.com/pingcap/tidb/sessionctx"
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"github.com/pingcap/tidb/statistics"
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"github.com/pingcap/tidb/types"
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"github.com/pingcap/tidb/util/chunk"
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"github.com/pingcap/tidb/util/logutil"
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"github.com/pingcap/tidb/util/sqlexec"
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"go.uber.org/zap"
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)
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func (h *Handle) initStatsMeta4Chunk(is infoschema.InfoSchema, cache *statsCache, iter *chunk.Iterator4Chunk) {
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for row := iter.Begin(); row != iter.End(); row = iter.Next() {
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physicalID := row.GetInt64(1)
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table, ok := h.getTableByPhysicalID(is, physicalID)
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if !ok {
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logutil.BgLogger().Debug("unknown physical ID in stats meta table, maybe it has been dropped", zap.Int64("ID", physicalID))
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continue
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}
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tableInfo := table.Meta()
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newHistColl := statistics.HistColl{
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PhysicalID: physicalID,
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HavePhysicalID: true,
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Count: row.GetInt64(3),
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ModifyCount: row.GetInt64(2),
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Columns: make(map[int64]*statistics.Column, len(tableInfo.Columns)),
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Indices: make(map[int64]*statistics.Index, len(tableInfo.Indices)),
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}
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tbl := &statistics.Table{
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HistColl: newHistColl,
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Version: row.GetUint64(0),
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Name: getFullTableName(is, tableInfo),
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}
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cache.tables[physicalID] = tbl
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}
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}
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func (h *Handle) initStatsMeta(is infoschema.InfoSchema) (statsCache, error) {
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sql := "select HIGH_PRIORITY version, table_id, modify_count, count from mysql.stats_meta"
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rc, err := h.mu.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), sql)
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if len(rc) > 0 {
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defer terror.Call(rc[0].Close)
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}
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if err != nil {
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return statsCache{}, errors.Trace(err)
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}
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tables := statsCache{tables: make(map[int64]*statistics.Table)}
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req := rc[0].NewChunk()
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iter := chunk.NewIterator4Chunk(req)
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for {
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err := rc[0].Next(context.TODO(), req)
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if err != nil {
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return statsCache{}, errors.Trace(err)
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}
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if req.NumRows() == 0 {
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break
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}
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h.initStatsMeta4Chunk(is, &tables, iter)
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}
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return tables, nil
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}
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func (h *Handle) initStatsHistograms4Chunk(is infoschema.InfoSchema, cache *statsCache, iter *chunk.Iterator4Chunk) {
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for row := iter.Begin(); row != iter.End(); row = iter.Next() {
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table, ok := cache.tables[row.GetInt64(0)]
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if !ok {
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continue
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}
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id, ndv, nullCount, version, totColSize := row.GetInt64(2), row.GetInt64(3), row.GetInt64(5), row.GetUint64(4), row.GetInt64(7)
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lastAnalyzePos := row.GetDatum(11, types.NewFieldType(mysql.TypeBlob))
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tbl, _ := h.getTableByPhysicalID(is, table.PhysicalID)
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if row.GetInt64(1) > 0 {
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var idxInfo *model.IndexInfo
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for _, idx := range tbl.Meta().Indices {
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if idx.ID == id {
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idxInfo = idx
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break
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}
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}
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if idxInfo == nil {
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continue
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}
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cms, err := statistics.DecodeCMSketch(row.GetBytes(6), nil)
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if err != nil {
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cms = nil
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terror.Log(errors.Trace(err))
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}
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hist := statistics.NewHistogram(id, ndv, nullCount, version, types.NewFieldType(mysql.TypeBlob), chunk.InitialCapacity, 0)
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index := &statistics.Index{
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Histogram: *hist,
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CMSketch: cms,
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Info: idxInfo,
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StatsVer: row.GetInt64(8),
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Flag: row.GetInt64(10),
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}
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lastAnalyzePos.Copy(&index.LastAnalyzePos)
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table.Indices[hist.ID] = index
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} else {
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var colInfo *model.ColumnInfo
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for _, col := range tbl.Meta().Columns {
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if col.ID == id {
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colInfo = col
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break
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}
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}
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if colInfo == nil {
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continue
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}
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hist := statistics.NewHistogram(id, ndv, nullCount, version, &colInfo.FieldType, 0, totColSize)
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hist.Correlation = row.GetFloat64(9)
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col := &statistics.Column{
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Histogram: *hist,
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PhysicalID: table.PhysicalID,
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Info: colInfo,
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Count: nullCount,
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IsHandle: tbl.Meta().PKIsHandle && mysql.HasPriKeyFlag(colInfo.Flag),
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Flag: row.GetInt64(10),
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}
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lastAnalyzePos.Copy(&col.LastAnalyzePos)
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table.Columns[hist.ID] = col
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}
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}
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}
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func (h *Handle) initStatsHistograms(is infoschema.InfoSchema, cache *statsCache) error {
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sql := "select HIGH_PRIORITY table_id, is_index, hist_id, distinct_count, version, null_count, cm_sketch, tot_col_size, stats_ver, correlation, flag, last_analyze_pos from mysql.stats_histograms"
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rc, err := h.mu.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), sql)
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if len(rc) > 0 {
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defer terror.Call(rc[0].Close)
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}
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if err != nil {
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return errors.Trace(err)
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}
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req := rc[0].NewChunk()
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iter := chunk.NewIterator4Chunk(req)
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for {
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err := rc[0].Next(context.TODO(), req)
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if err != nil {
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return errors.Trace(err)
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}
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if req.NumRows() == 0 {
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break
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}
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h.initStatsHistograms4Chunk(is, cache, iter)
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}
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return nil
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}
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func (h *Handle) initStatsTopN4Chunk(cache *statsCache, iter *chunk.Iterator4Chunk) {
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for row := iter.Begin(); row != iter.End(); row = iter.Next() {
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table, ok := cache.tables[row.GetInt64(0)]
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if !ok {
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continue
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}
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idx, ok := table.Indices[row.GetInt64(1)]
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if !ok || idx.CMSketch == nil {
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continue
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}
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data := make([]byte, len(row.GetBytes(2)))
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copy(data, row.GetBytes(2))
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idx.CMSketch.AppendTopN(data, row.GetUint64(3))
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}
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}
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func (h *Handle) initStatsTopN(cache *statsCache) error {
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sql := "select HIGH_PRIORITY table_id, hist_id, value, count from mysql.stats_top_n where is_index = 1"
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rc, err := h.mu.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), sql)
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if len(rc) > 0 {
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defer terror.Call(rc[0].Close)
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}
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if err != nil {
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return errors.Trace(err)
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}
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req := rc[0].NewChunk()
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iter := chunk.NewIterator4Chunk(req)
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for {
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err := rc[0].Next(context.TODO(), req)
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if err != nil {
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return errors.Trace(err)
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}
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if req.NumRows() == 0 {
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break
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}
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h.initStatsTopN4Chunk(cache, iter)
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}
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return nil
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}
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func initStatsBuckets4Chunk(ctx sessionctx.Context, cache *statsCache, iter *chunk.Iterator4Chunk) {
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for row := iter.Begin(); row != iter.End(); row = iter.Next() {
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tableID, isIndex, histID := row.GetInt64(0), row.GetInt64(1), row.GetInt64(2)
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table, ok := cache.tables[tableID]
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if !ok {
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continue
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}
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var lower, upper types.Datum
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var hist *statistics.Histogram
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if isIndex > 0 {
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index, ok := table.Indices[histID]
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if !ok {
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continue
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}
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hist = &index.Histogram
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lower, upper = types.NewBytesDatum(row.GetBytes(5)), types.NewBytesDatum(row.GetBytes(6))
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} else {
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column, ok := table.Columns[histID]
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if !ok {
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continue
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}
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column.Count += row.GetInt64(3)
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if !mysql.HasPriKeyFlag(column.Info.Flag) {
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continue
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}
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hist = &column.Histogram
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d := types.NewBytesDatum(row.GetBytes(5))
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var err error
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lower, err = d.ConvertTo(ctx.GetSessionVars().StmtCtx, &column.Info.FieldType)
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if err != nil {
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logutil.BgLogger().Debug("decode bucket lower bound failed", zap.Error(err))
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delete(table.Columns, histID)
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continue
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}
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d = types.NewBytesDatum(row.GetBytes(6))
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upper, err = d.ConvertTo(ctx.GetSessionVars().StmtCtx, &column.Info.FieldType)
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if err != nil {
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logutil.BgLogger().Debug("decode bucket upper bound failed", zap.Error(err))
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delete(table.Columns, histID)
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continue
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}
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}
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hist.AppendBucket(&lower, &upper, row.GetInt64(3), row.GetInt64(4))
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}
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}
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func (h *Handle) initStatsBuckets(cache *statsCache) error {
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sql := "select HIGH_PRIORITY table_id, is_index, hist_id, count, repeats, lower_bound, upper_bound from mysql.stats_buckets order by table_id, is_index, hist_id, bucket_id"
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rc, err := h.mu.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), sql)
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if len(rc) > 0 {
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defer terror.Call(rc[0].Close)
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}
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if err != nil {
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return errors.Trace(err)
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}
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req := rc[0].NewChunk()
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iter := chunk.NewIterator4Chunk(req)
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for {
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err := rc[0].Next(context.TODO(), req)
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if err != nil {
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return errors.Trace(err)
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}
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if req.NumRows() == 0 {
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break
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}
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initStatsBuckets4Chunk(h.mu.ctx, cache, iter)
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}
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lastVersion := uint64(0)
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for _, table := range cache.tables {
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lastVersion = mathutil.MaxUint64(lastVersion, table.Version)
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for _, idx := range table.Indices {
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for i := 1; i < idx.Len(); i++ {
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idx.Buckets[i].Count += idx.Buckets[i-1].Count
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}
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idx.PreCalculateScalar()
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}
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for _, col := range table.Columns {
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for i := 1; i < col.Len(); i++ {
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col.Buckets[i].Count += col.Buckets[i-1].Count
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}
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col.PreCalculateScalar()
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}
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}
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cache.version = lastVersion
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return nil
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}
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// InitStats will init the stats cache using full load strategy.
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func (h *Handle) InitStats(is infoschema.InfoSchema) (err error) {
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h.mu.Lock()
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defer func() {
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_, err1 := h.mu.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), "commit")
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if err == nil && err1 != nil {
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err = err1
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}
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h.mu.Unlock()
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}()
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_, err = h.mu.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), "begin")
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if err != nil {
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return err
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}
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cache, err := h.initStatsMeta(is)
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if err != nil {
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return errors.Trace(err)
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}
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err = h.initStatsHistograms(is, &cache)
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if err != nil {
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return errors.Trace(err)
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}
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err = h.initStatsTopN(&cache)
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if err != nil {
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return err
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}
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err = h.initStatsBuckets(&cache)
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if err != nil {
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return errors.Trace(err)
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}
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h.updateStatsCache(cache)
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return nil
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}
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func getFullTableName(is infoschema.InfoSchema, tblInfo *model.TableInfo) string {
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for _, schema := range is.AllSchemas() {
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if t, err := is.TableByName(schema.Name, tblInfo.Name); err == nil {
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if t.Meta().ID == tblInfo.ID {
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return schema.Name.O + "." + tblInfo.Name.O
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}
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}
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}
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return fmt.Sprintf("%d", tblInfo.ID)
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}
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