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// 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 statistics
import (
"github.com/juju/errors"
"github.com/pingcap/tidb/infoschema"
"github.com/pingcap/tidb/model"
"github.com/pingcap/tidb/mysql"
"github.com/pingcap/tidb/sessionctx"
"github.com/pingcap/tidb/terror"
"github.com/pingcap/tidb/types"
"github.com/pingcap/tidb/util/chunk"
"github.com/pingcap/tidb/util/sqlexec"
log "github.com/sirupsen/logrus"
"golang.org/x/net/context"
)
func initStatsMeta4Chunk(is infoschema.InfoSchema, tables statsCache, iter *chunk.Iterator4Chunk) {
for row := iter.Begin(); row != iter.End(); row = iter.Next() {
tableID := row.GetInt64(1)
table, ok := is.TableByID(tableID)
if !ok {
log.Debugf("Unknown table ID %d in stats meta table, maybe it has been dropped", tableID)
continue
}
tableInfo := table.Meta()
tbl := &Table{
TableID: tableID,
Columns: make(map[int64]*Column, len(tableInfo.Columns)),
Indices: make(map[int64]*Index, len(tableInfo.Indices)),
Count: row.GetInt64(3),
ModifyCount: row.GetInt64(2),
Version: row.GetUint64(0),
}
tables[tableID] = tbl
}
}
func (h *Handle) initStatsMeta(is infoschema.InfoSchema) (statsCache, error) {
sql := "select version, table_id, modify_count, count from mysql.stats_meta"
rc, err := h.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), sql)
if len(rc) > 0 {
defer terror.Call(rc[0].Close)
}
if err != nil {
return nil, errors.Trace(err)
}
tables := statsCache{}
chk := rc[0].NewChunk()
iter := chunk.NewIterator4Chunk(chk)
for {
err := rc[0].Next(context.TODO(), chk)
if err != nil {
return nil, errors.Trace(err)
}
if chk.NumRows() == 0 {
break
}
initStatsMeta4Chunk(is, tables, iter)
}
return tables, nil
}
func initStatsHistograms4Chunk(is infoschema.InfoSchema, tables statsCache, iter *chunk.Iterator4Chunk) {
for row := iter.Begin(); row != iter.End(); row = iter.Next() {
table, ok := tables[row.GetInt64(0)]
if !ok {
continue
}
id, ndv, nullCount, version, totColSize := row.GetInt64(2), row.GetInt64(3), row.GetInt64(5), row.GetUint64(4), row.GetInt64(7)
tbl, _ := is.TableByID(table.TableID)
if row.GetInt64(1) > 0 {
var idxInfo *model.IndexInfo
for _, idx := range tbl.Meta().Indices {
if idx.ID == id {
idxInfo = idx
break
}
}
if idxInfo == nil {
continue
}
cms, err := decodeCMSketch(row.GetBytes(6))
if err != nil {
cms = nil
terror.Log(errors.Trace(err))
}
hist := NewHistogram(id, ndv, nullCount, version, types.NewFieldType(mysql.TypeBlob), chunk.InitialCapacity, 0)
table.Indices[hist.ID] = &Index{Histogram: *hist, CMSketch: cms, Info: idxInfo}
} else {
var colInfo *model.ColumnInfo
for _, col := range tbl.Meta().Columns {
if col.ID == id {
colInfo = col
break
}
}
if colInfo == nil {
continue
}
hist := NewHistogram(id, ndv, nullCount, version, &colInfo.FieldType, 0, totColSize)
table.Columns[hist.ID] = &Column{Histogram: *hist, Info: colInfo, Count: nullCount}
}
}
}
func (h *Handle) initStatsHistograms(is infoschema.InfoSchema, tables statsCache) error {
sql := "select table_id, is_index, hist_id, distinct_count, version, null_count, cm_sketch, tot_col_size from mysql.stats_histograms"
rc, err := h.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), sql)
if len(rc) > 0 {
defer terror.Call(rc[0].Close)
}
if err != nil {
return errors.Trace(err)
}
chk := rc[0].NewChunk()
iter := chunk.NewIterator4Chunk(chk)
for {
err := rc[0].Next(context.TODO(), chk)
if err != nil {
return errors.Trace(err)
}
if chk.NumRows() == 0 {
break
}
initStatsHistograms4Chunk(is, tables, iter)
}
return nil
}
func initStatsBuckets4Chunk(ctx sessionctx.Context, tables statsCache, iter *chunk.Iterator4Chunk) {
for row := iter.Begin(); row != iter.End(); row = iter.Next() {
tableID, isIndex, histID := row.GetInt64(0), row.GetInt64(1), row.GetInt64(2)
table, ok := tables[tableID]
if !ok {
continue
}
var lower, upper types.Datum
var hist *Histogram
if isIndex > 0 {
index, ok := table.Indices[histID]
if !ok {
continue
}
hist = &index.Histogram
lower, upper = types.NewBytesDatum(row.GetBytes(5)), types.NewBytesDatum(row.GetBytes(6))
} else {
column, ok := table.Columns[histID]
if !ok {
continue
}
column.Count += row.GetInt64(3)
if !mysql.HasPriKeyFlag(column.Info.Flag) {
continue
}
hist = &column.Histogram
d := types.NewBytesDatum(row.GetBytes(5))
var err error
lower, err = d.ConvertTo(ctx.GetSessionVars().StmtCtx, &column.Info.FieldType)
if err != nil {
log.Debugf("decode bucket lower bound failed: %s", errors.ErrorStack(err))
delete(table.Columns, histID)
continue
}
d = types.NewBytesDatum(row.GetBytes(6))
upper, err = d.ConvertTo(ctx.GetSessionVars().StmtCtx, &column.Info.FieldType)
if err != nil {
log.Debugf("decode bucket upper bound failed: %s", errors.ErrorStack(err))
delete(table.Columns, histID)
continue
}
}
hist.AppendBucket(&lower, &upper, row.GetInt64(3), row.GetInt64(4))
}
}
func (h *Handle) initStatsBuckets(tables statsCache) error {
sql := "select 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"
rc, err := h.ctx.(sqlexec.SQLExecutor).Execute(context.TODO(), sql)
if len(rc) > 0 {
defer terror.Call(rc[0].Close)
}
if err != nil {
return errors.Trace(err)
}
chk := rc[0].NewChunk()
iter := chunk.NewIterator4Chunk(chk)
for {
err := rc[0].Next(context.TODO(), chk)
if err != nil {
return errors.Trace(err)
}
if chk.NumRows() == 0 {
break
}
initStatsBuckets4Chunk(h.ctx, tables, iter)
}
for _, table := range tables {
if h.LastVersion < table.Version {
h.LastVersion = table.Version
}
for _, idx := range table.Indices {
for i := 1; i < idx.Len(); i++ {
idx.Buckets[i].Count += idx.Buckets[i-1].Count
}
idx.PreCalculateScalar()
}
for _, col := range table.Columns {
for i := 1; i < col.Len(); i++ {
col.Buckets[i].Count += col.Buckets[i-1].Count
}
col.PreCalculateScalar()
}
}
return nil
}
// InitStats will init the stats cache using full load strategy.
func (h *Handle) InitStats(is infoschema.InfoSchema) error {
tables, err := h.initStatsMeta(is)
if err != nil {
return errors.Trace(err)
}
err = h.initStatsHistograms(is, tables)
if err != nil {
return errors.Trace(err)
}
err = h.initStatsBuckets(tables)
if err != nil {
return errors.Trace(err)
}
h.statsCache.Store(tables)
return nil
}
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