// Copyright 2015 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 (
	"bytes"
	"context"
	"math"
	"sort"
	"strings"
	"sync"
	"time"
	"unsafe"

	"github.com/cznic/mathutil"
	"github.com/cznic/sortutil"
	"github.com/pingcap/errors"
	"github.com/pingcap/kvproto/pkg/diagnosticspb"
	"github.com/pingcap/parser/ast"
	"github.com/pingcap/parser/auth"
	"github.com/pingcap/parser/model"
	"github.com/pingcap/parser/mysql"
	"github.com/pingcap/tidb/distsql"
	"github.com/pingcap/tidb/domain"
	"github.com/pingcap/tidb/executor/aggfuncs"
	"github.com/pingcap/tidb/expression"
	"github.com/pingcap/tidb/expression/aggregation"
	"github.com/pingcap/tidb/infoschema"
	"github.com/pingcap/tidb/kv"
	"github.com/pingcap/tidb/metrics"
	plannercore "github.com/pingcap/tidb/planner/core"
	plannerutil "github.com/pingcap/tidb/planner/util"
	"github.com/pingcap/tidb/sessionctx"
	"github.com/pingcap/tidb/statistics"
	"github.com/pingcap/tidb/table"
	"github.com/pingcap/tidb/table/tables"
	"github.com/pingcap/tidb/types"
	"github.com/pingcap/tidb/util"
	"github.com/pingcap/tidb/util/admin"
	"github.com/pingcap/tidb/util/chunk"
	"github.com/pingcap/tidb/util/execdetails"
	"github.com/pingcap/tidb/util/logutil"
	"github.com/pingcap/tidb/util/ranger"
	"github.com/pingcap/tidb/util/rowcodec"
	"github.com/pingcap/tidb/util/timeutil"
	"github.com/pingcap/tipb/go-tipb"
	"go.uber.org/zap"
)

var (
	executorCounterMergeJoinExec            = metrics.ExecutorCounter.WithLabelValues("MergeJoinExec")
	executorCountHashJoinExec               = metrics.ExecutorCounter.WithLabelValues("HashJoinExec")
	executorCounterHashAggExec              = metrics.ExecutorCounter.WithLabelValues("HashAggExec")
	executorStreamAggExec                   = metrics.ExecutorCounter.WithLabelValues("StreamAggExec")
	executorCounterSortExec                 = metrics.ExecutorCounter.WithLabelValues("SortExec")
	executorCounterTopNExec                 = metrics.ExecutorCounter.WithLabelValues("TopNExec")
	executorCounterNestedLoopApplyExec      = metrics.ExecutorCounter.WithLabelValues("NestedLoopApplyExec")
	executorCounterIndexLookUpJoin          = metrics.ExecutorCounter.WithLabelValues("IndexLookUpJoin")
	executorCounterIndexLookUpExecutor      = metrics.ExecutorCounter.WithLabelValues("IndexLookUpExecutor")
	executorCounterIndexMergeReaderExecutor = metrics.ExecutorCounter.WithLabelValues("IndexMergeReaderExecutor")
)

// executorBuilder builds an Executor from a Plan.
// The InfoSchema must not change during execution.
type executorBuilder struct {
	ctx              sessionctx.Context
	is               infoschema.InfoSchema
	snapshotTS       uint64 // The consistent snapshot timestamp for the executor to read data.
	snapshotTSCached bool
	err              error // err is set when there is error happened during Executor building process.
	hasLock          bool
}

func newExecutorBuilder(ctx sessionctx.Context, is infoschema.InfoSchema) *executorBuilder {
	return &executorBuilder{
		ctx: ctx,
		is:  is,
	}
}

// MockPhysicalPlan is used to return a specified executor in when build.
// It is mainly used for testing.
type MockPhysicalPlan interface {
	plannercore.PhysicalPlan
	GetExecutor() Executor
}

func (b *executorBuilder) build(p plannercore.Plan) Executor {
	switch v := p.(type) {
	case nil:
		return nil
	case *plannercore.Change:
		return b.buildChange(v)
	case *plannercore.CheckTable:
		return b.buildCheckTable(v)
	case *plannercore.RecoverIndex:
		return b.buildRecoverIndex(v)
	case *plannercore.CleanupIndex:
		return b.buildCleanupIndex(v)
	case *plannercore.CheckIndexRange:
		return b.buildCheckIndexRange(v)
	case *plannercore.ChecksumTable:
		return b.buildChecksumTable(v)
	case *plannercore.ReloadExprPushdownBlacklist:
		return b.buildReloadExprPushdownBlacklist(v)
	case *plannercore.ReloadOptRuleBlacklist:
		return b.buildReloadOptRuleBlacklist(v)
	case *plannercore.AdminPlugins:
		return b.buildAdminPlugins(v)
	case *plannercore.DDL:
		return b.buildDDL(v)
	case *plannercore.Deallocate:
		return b.buildDeallocate(v)
	case *plannercore.Delete:
		return b.buildDelete(v)
	case *plannercore.Execute:
		return b.buildExecute(v)
	case *plannercore.Trace:
		return b.buildTrace(v)
	case *plannercore.Explain:
		return b.buildExplain(v)
	case *plannercore.PointGetPlan:
		return b.buildPointGet(v)
	case *plannercore.BatchPointGetPlan:
		return b.buildBatchPointGet(v)
	case *plannercore.Insert:
		return b.buildInsert(v)
	case *plannercore.LoadData:
		return b.buildLoadData(v)
	case *plannercore.LoadStats:
		return b.buildLoadStats(v)
	case *plannercore.IndexAdvise:
		return b.buildIndexAdvise(v)
	case *plannercore.PhysicalLimit:
		return b.buildLimit(v)
	case *plannercore.Prepare:
		return b.buildPrepare(v)
	case *plannercore.PhysicalLock:
		return b.buildSelectLock(v)
	case *plannercore.CancelDDLJobs:
		return b.buildCancelDDLJobs(v)
	case *plannercore.ShowNextRowID:
		return b.buildShowNextRowID(v)
	case *plannercore.ShowDDL:
		return b.buildShowDDL(v)
	case *plannercore.PhysicalShowDDLJobs:
		return b.buildShowDDLJobs(v)
	case *plannercore.ShowDDLJobQueries:
		return b.buildShowDDLJobQueries(v)
	case *plannercore.ShowSlow:
		return b.buildShowSlow(v)
	case *plannercore.PhysicalShow:
		return b.buildShow(v)
	case *plannercore.Simple:
		return b.buildSimple(v)
	case *plannercore.Set:
		return b.buildSet(v)
	case *plannercore.SetConfig:
		return b.buildSetConfig(v)
	case *plannercore.PhysicalSort:
		return b.buildSort(v)
	case *plannercore.PhysicalTopN:
		return b.buildTopN(v)
	case *plannercore.PhysicalUnionAll:
		return b.buildUnionAll(v)
	case *plannercore.Update:
		return b.buildUpdate(v)
	case *plannercore.PhysicalUnionScan:
		return b.buildUnionScanExec(v)
	case *plannercore.PhysicalHashJoin:
		return b.buildHashJoin(v)
	case *plannercore.PhysicalMergeJoin:
		return b.buildMergeJoin(v)
	case *plannercore.PhysicalIndexJoin:
		return b.buildIndexLookUpJoin(v)
	case *plannercore.PhysicalIndexMergeJoin:
		return b.buildIndexLookUpMergeJoin(v)
	case *plannercore.PhysicalIndexHashJoin:
		return b.buildIndexNestedLoopHashJoin(v)
	case *plannercore.PhysicalSelection:
		return b.buildSelection(v)
	case *plannercore.PhysicalHashAgg:
		return b.buildHashAgg(v)
	case *plannercore.PhysicalStreamAgg:
		return b.buildStreamAgg(v)
	case *plannercore.PhysicalProjection:
		return b.buildProjection(v)
	case *plannercore.PhysicalMemTable:
		return b.buildMemTable(v)
	case *plannercore.PhysicalTableDual:
		return b.buildTableDual(v)
	case *plannercore.PhysicalApply:
		return b.buildApply(v)
	case *plannercore.PhysicalMaxOneRow:
		return b.buildMaxOneRow(v)
	case *plannercore.Analyze:
		return b.buildAnalyze(v)
	case *plannercore.PhysicalTableReader:
		return b.buildTableReader(v)
	case *plannercore.PhysicalIndexReader:
		return b.buildIndexReader(v)
	case *plannercore.PhysicalIndexLookUpReader:
		return b.buildIndexLookUpReader(v)
	case *plannercore.PhysicalWindow:
		return b.buildWindow(v)
	case *plannercore.PhysicalShuffle:
		return b.buildShuffle(v)
	case *plannercore.PhysicalShuffleDataSourceStub:
		return b.buildShuffleDataSourceStub(v)
	case *plannercore.SQLBindPlan:
		return b.buildSQLBindExec(v)
	case *plannercore.SplitRegion:
		return b.buildSplitRegion(v)
	case *plannercore.PhysicalIndexMergeReader:
		return b.buildIndexMergeReader(v)
	case *plannercore.SelectInto:
		return b.buildSelectInto(v)
	case *plannercore.AdminShowTelemetry:
		return b.buildAdminShowTelemetry(v)
	case *plannercore.AdminResetTelemetryID:
		return b.buildAdminResetTelemetryID(v)
	default:
		if mp, ok := p.(MockPhysicalPlan); ok {
			return mp.GetExecutor()
		}

		b.err = ErrUnknownPlan.GenWithStack("Unknown Plan %T", p)
		return nil
	}
}

func (b *executorBuilder) buildCancelDDLJobs(v *plannercore.CancelDDLJobs) Executor {
	e := &CancelDDLJobsExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		jobIDs:       v.JobIDs,
	}
	txn, err := e.ctx.Txn(true)
	if err != nil {
		b.err = err
		return nil
	}

	e.errs, b.err = admin.CancelJobs(txn, e.jobIDs)
	if b.err != nil {
		return nil
	}
	return e
}

func (b *executorBuilder) buildChange(v *plannercore.Change) Executor {
	return &ChangeExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		ChangeStmt:   v.ChangeStmt,
	}
}

func (b *executorBuilder) buildShowNextRowID(v *plannercore.ShowNextRowID) Executor {
	e := &ShowNextRowIDExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		tblName:      v.TableName,
	}
	return e
}

func (b *executorBuilder) buildShowDDL(v *plannercore.ShowDDL) Executor {
	// We get DDLInfo here because for Executors that returns result set,
	// next will be called after transaction has been committed.
	// We need the transaction to get DDLInfo.
	e := &ShowDDLExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
	}

	var err error
	ownerManager := domain.GetDomain(e.ctx).DDL().OwnerManager()
	ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
	e.ddlOwnerID, err = ownerManager.GetOwnerID(ctx)
	cancel()
	if err != nil {
		b.err = err
		return nil
	}
	txn, err := e.ctx.Txn(true)
	if err != nil {
		b.err = err
		return nil
	}

	ddlInfo, err := admin.GetDDLInfo(txn)
	if err != nil {
		b.err = err
		return nil
	}
	e.ddlInfo = ddlInfo
	e.selfID = ownerManager.ID()
	return e
}

func (b *executorBuilder) buildShowDDLJobs(v *plannercore.PhysicalShowDDLJobs) Executor {
	e := &ShowDDLJobsExec{
		jobNumber:    int(v.JobNumber),
		is:           b.is,
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
	}
	return e
}

func (b *executorBuilder) buildShowDDLJobQueries(v *plannercore.ShowDDLJobQueries) Executor {
	e := &ShowDDLJobQueriesExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		jobIDs:       v.JobIDs,
	}
	return e
}

func (b *executorBuilder) buildShowSlow(v *plannercore.ShowSlow) Executor {
	e := &ShowSlowExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		ShowSlow:     v.ShowSlow,
	}
	return e
}

// buildIndexLookUpChecker builds check information to IndexLookUpReader.
func buildIndexLookUpChecker(b *executorBuilder, readerPlan *plannercore.PhysicalIndexLookUpReader,
	readerExec *IndexLookUpExecutor) {
	is := readerPlan.IndexPlans[0].(*plannercore.PhysicalIndexScan)
	readerExec.dagPB.OutputOffsets = make([]uint32, 0, len(is.Index.Columns))
	for i := 0; i <= len(is.Index.Columns); i++ {
		readerExec.dagPB.OutputOffsets = append(readerExec.dagPB.OutputOffsets, uint32(i))
	}
	readerExec.ranges = ranger.FullRange()
	ts := readerPlan.TablePlans[0].(*plannercore.PhysicalTableScan)
	readerExec.handleIdx = ts.HandleIdx

	tps := make([]*types.FieldType, 0, len(is.Columns)+1)
	for _, col := range is.Columns {
		tps = append(tps, &col.FieldType)
	}
	tps = append(tps, types.NewFieldType(mysql.TypeLonglong))
	readerExec.checkIndexValue = &checkIndexValue{idxColTps: tps}

	colNames := make([]string, 0, len(is.Columns))
	for _, col := range is.Columns {
		colNames = append(colNames, col.Name.O)
	}
	if cols, missingColName := table.FindCols(readerExec.table.Cols(), colNames, true); missingColName != "" {
		b.err = plannercore.ErrUnknownColumn.GenWithStack("Unknown column %s", missingColName)
	} else {
		readerExec.idxTblCols = cols
	}
}

func (b *executorBuilder) buildCheckTable(v *plannercore.CheckTable) Executor {
	readerExecs := make([]*IndexLookUpExecutor, 0, len(v.IndexLookUpReaders))
	for _, readerPlan := range v.IndexLookUpReaders {
		readerExec, err := buildNoRangeIndexLookUpReader(b, readerPlan)
		if err != nil {
			b.err = errors.Trace(err)
			return nil
		}
		buildIndexLookUpChecker(b, readerPlan, readerExec)

		readerExecs = append(readerExecs, readerExec)
	}

	e := &CheckTableExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		dbName:       v.DBName,
		table:        v.Table,
		indexInfos:   v.IndexInfos,
		is:           b.is,
		srcs:         readerExecs,
		exitCh:       make(chan struct{}),
		retCh:        make(chan error, len(readerExecs)),
		checkIndex:   v.CheckIndex,
	}
	return e
}

func buildRecoverIndexCols(tblInfo *model.TableInfo, indexInfo *model.IndexInfo) []*model.ColumnInfo {
	columns := make([]*model.ColumnInfo, 0, len(indexInfo.Columns))
	for _, idxCol := range indexInfo.Columns {
		columns = append(columns, tblInfo.Columns[idxCol.Offset])
	}

	handleOffset := len(columns)
	handleColsInfo := &model.ColumnInfo{
		ID:     model.ExtraHandleID,
		Name:   model.ExtraHandleName,
		Offset: handleOffset,
	}
	handleColsInfo.FieldType = *types.NewFieldType(mysql.TypeLonglong)
	columns = append(columns, handleColsInfo)
	return columns
}

func (b *executorBuilder) buildRecoverIndex(v *plannercore.RecoverIndex) Executor {
	tblInfo := v.Table.TableInfo
	t, err := b.is.TableByName(v.Table.Schema, tblInfo.Name)
	if err != nil {
		b.err = err
		return nil
	}
	idxName := strings.ToLower(v.IndexName)
	index := tables.GetWritableIndexByName(idxName, t)
	if index == nil {
		b.err = errors.Errorf("index `%v` is not found in table `%v`.", v.IndexName, v.Table.Name.O)
		return nil
	}
	e := &RecoverIndexExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		columns:      buildRecoverIndexCols(tblInfo, index.Meta()),
		index:        index,
		table:        t,
		physicalID:   t.Meta().ID,
	}
	return e
}

func buildCleanupIndexCols(tblInfo *model.TableInfo, indexInfo *model.IndexInfo) []*model.ColumnInfo {
	columns := make([]*model.ColumnInfo, 0, len(indexInfo.Columns)+1)
	for _, idxCol := range indexInfo.Columns {
		columns = append(columns, tblInfo.Columns[idxCol.Offset])
	}
	handleColsInfo := &model.ColumnInfo{
		ID:     model.ExtraHandleID,
		Name:   model.ExtraHandleName,
		Offset: len(tblInfo.Columns),
	}
	handleColsInfo.FieldType = *types.NewFieldType(mysql.TypeLonglong)
	columns = append(columns, handleColsInfo)
	return columns
}

func (b *executorBuilder) buildCleanupIndex(v *plannercore.CleanupIndex) Executor {
	tblInfo := v.Table.TableInfo
	t, err := b.is.TableByName(v.Table.Schema, tblInfo.Name)
	if err != nil {
		b.err = err
		return nil
	}
	idxName := strings.ToLower(v.IndexName)
	var index table.Index
	for _, idx := range t.Indices() {
		if idx.Meta().State != model.StatePublic {
			continue
		}
		if idxName == idx.Meta().Name.L {
			index = idx
			break
		}
	}

	if index == nil {
		b.err = errors.Errorf("index `%v` is not found in table `%v`.", v.IndexName, v.Table.Name.O)
		return nil
	}
	e := &CleanupIndexExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		idxCols:      buildCleanupIndexCols(tblInfo, index.Meta()),
		index:        index,
		table:        t,
		physicalID:   t.Meta().ID,
		batchSize:    20000,
	}
	return e
}

func (b *executorBuilder) buildCheckIndexRange(v *plannercore.CheckIndexRange) Executor {
	tb, err := b.is.TableByName(v.Table.Schema, v.Table.Name)
	if err != nil {
		b.err = err
		return nil
	}
	e := &CheckIndexRangeExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		handleRanges: v.HandleRanges,
		table:        tb.Meta(),
		is:           b.is,
	}
	idxName := strings.ToLower(v.IndexName)
	for _, idx := range tb.Indices() {
		if idx.Meta().Name.L == idxName {
			e.index = idx.Meta()
			e.startKey = make([]types.Datum, len(e.index.Columns))
			break
		}
	}
	return e
}

func (b *executorBuilder) buildChecksumTable(v *plannercore.ChecksumTable) Executor {
	e := &ChecksumTableExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		tables:       make(map[int64]*checksumContext),
		done:         false,
	}
	startTs, err := b.getSnapshotTS()
	if err != nil {
		b.err = err
		return nil
	}
	for _, t := range v.Tables {
		e.tables[t.TableInfo.ID] = newChecksumContext(t.DBInfo, t.TableInfo, startTs)
	}
	return e
}

func (b *executorBuilder) buildReloadExprPushdownBlacklist(v *plannercore.ReloadExprPushdownBlacklist) Executor {
	return &ReloadExprPushdownBlacklistExec{baseExecutor{ctx: b.ctx}}
}

func (b *executorBuilder) buildReloadOptRuleBlacklist(v *plannercore.ReloadOptRuleBlacklist) Executor {
	return &ReloadOptRuleBlacklistExec{baseExecutor{ctx: b.ctx}}
}

func (b *executorBuilder) buildAdminPlugins(v *plannercore.AdminPlugins) Executor {
	return &AdminPluginsExec{baseExecutor: baseExecutor{ctx: b.ctx}, Action: v.Action, Plugins: v.Plugins}
}

func (b *executorBuilder) buildDeallocate(v *plannercore.Deallocate) Executor {
	base := newBaseExecutor(b.ctx, nil, v.ID())
	base.initCap = chunk.ZeroCapacity
	e := &DeallocateExec{
		baseExecutor: base,
		Name:         v.Name,
	}
	return e
}

func (b *executorBuilder) buildSelectLock(v *plannercore.PhysicalLock) Executor {
	b.hasLock = true
	if b.err = b.updateForUpdateTSIfNeeded(v.Children()[0]); b.err != nil {
		return nil
	}
	// Build 'select for update' using the 'for update' ts.
	b.snapshotTS = b.ctx.GetSessionVars().TxnCtx.GetForUpdateTS()

	src := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	if !b.ctx.GetSessionVars().InTxn() {
		// Locking of rows for update using SELECT FOR UPDATE only applies when autocommit
		// is disabled (either by beginning transaction with START TRANSACTION or by setting
		// autocommit to 0. If autocommit is enabled, the rows matching the specification are not locked.
		// See https://dev.mysql.com/doc/refman/5.7/en/innodb-locking-reads.html
		return src
	}
	e := &SelectLockExec{
		baseExecutor:     newBaseExecutor(b.ctx, v.Schema(), v.ID(), src),
		Lock:             v.Lock,
		tblID2Handle:     v.TblID2Handle,
		partitionedTable: v.PartitionedTable,
	}
	if len(e.partitionedTable) > 0 {
		schema := v.Schema()
		e.tblID2PIDColumnIndex = make(map[int64]int)
		for i := 0; i < len(v.ExtraPIDInfo.Columns); i++ {
			col := v.ExtraPIDInfo.Columns[i]
			tblID := v.ExtraPIDInfo.TblIDs[i]
			offset := schema.ColumnIndex(col)
			e.tblID2PIDColumnIndex[tblID] = offset
		}
	}
	return e
}

func (b *executorBuilder) buildLimit(v *plannercore.PhysicalLimit) Executor {
	childExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	n := int(mathutil.MinUint64(v.Count, uint64(b.ctx.GetSessionVars().MaxChunkSize)))
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExec)
	base.initCap = n
	e := &LimitExec{
		baseExecutor: base,
		begin:        v.Offset,
		end:          v.Offset + v.Count,
	}
	return e
}

func (b *executorBuilder) buildPrepare(v *plannercore.Prepare) Executor {
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID())
	base.initCap = chunk.ZeroCapacity
	return &PrepareExec{
		baseExecutor: base,
		is:           b.is,
		name:         v.Name,
		sqlText:      v.SQLText,
	}
}

func (b *executorBuilder) buildExecute(v *plannercore.Execute) Executor {
	e := &ExecuteExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		is:           b.is,
		name:         v.Name,
		usingVars:    v.UsingVars,
		id:           v.ExecID,
		stmt:         v.Stmt,
		plan:         v.Plan,
		outputNames:  v.OutputNames(),
	}
	return e
}

func (b *executorBuilder) buildShow(v *plannercore.PhysicalShow) Executor {
	e := &ShowExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		Tp:           v.Tp,
		DBName:       model.NewCIStr(v.DBName),
		Table:        v.Table,
		Column:       v.Column,
		IndexName:    v.IndexName,
		Flag:         v.Flag,
		Roles:        v.Roles,
		User:         v.User,
		is:           b.is,
		Full:         v.Full,
		IfNotExists:  v.IfNotExists,
		GlobalScope:  v.GlobalScope,
		Extended:     v.Extended,
	}
	if e.Tp == ast.ShowGrants && e.User == nil {
		// The input is a "show grants" statement, fulfill the user and roles field.
		// Note: "show grants" result are different from "show grants for current_user",
		// The former determine privileges with roles, while the later doesn't.
		vars := e.ctx.GetSessionVars()
		e.User = &auth.UserIdentity{Username: vars.User.AuthUsername, Hostname: vars.User.AuthHostname}
		e.Roles = vars.ActiveRoles
	}
	if e.Tp == ast.ShowMasterStatus {
		// show master status need start ts.
		if _, err := e.ctx.Txn(true); err != nil {
			b.err = err
		}
	}
	return e
}

func (b *executorBuilder) buildSimple(v *plannercore.Simple) Executor {
	switch s := v.Statement.(type) {
	case *ast.GrantStmt:
		return b.buildGrant(s)
	case *ast.RevokeStmt:
		return b.buildRevoke(s)
	case *ast.BRIEStmt:
		return b.buildBRIE(s, v.Schema())
	}
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID())
	base.initCap = chunk.ZeroCapacity
	e := &SimpleExec{
		baseExecutor: base,
		Statement:    v.Statement,
		is:           b.is,
	}
	return e
}

func (b *executorBuilder) buildSet(v *plannercore.Set) Executor {
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID())
	base.initCap = chunk.ZeroCapacity
	e := &SetExecutor{
		baseExecutor: base,
		vars:         v.VarAssigns,
	}
	return e
}

func (b *executorBuilder) buildSetConfig(v *plannercore.SetConfig) Executor {
	return &SetConfigExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		p:            v,
	}
}

func (b *executorBuilder) buildInsert(v *plannercore.Insert) Executor {
	if v.SelectPlan != nil {
		// Try to update the forUpdateTS for insert/replace into select statements.
		// Set the selectPlan parameter to nil to make it always update the forUpdateTS.
		if b.err = b.updateForUpdateTSIfNeeded(nil); b.err != nil {
			return nil
		}
	}
	b.snapshotTS = b.ctx.GetSessionVars().TxnCtx.GetForUpdateTS()
	selectExec := b.build(v.SelectPlan)
	if b.err != nil {
		return nil
	}
	var baseExec baseExecutor
	if selectExec != nil {
		baseExec = newBaseExecutor(b.ctx, nil, v.ID(), selectExec)
	} else {
		baseExec = newBaseExecutor(b.ctx, nil, v.ID())
	}
	baseExec.initCap = chunk.ZeroCapacity

	ivs := &InsertValues{
		baseExecutor:              baseExec,
		Table:                     v.Table,
		Columns:                   v.Columns,
		Lists:                     v.Lists,
		SetList:                   v.SetList,
		GenExprs:                  v.GenCols.Exprs,
		allAssignmentsAreConstant: v.AllAssignmentsAreConstant,
		hasRefCols:                v.NeedFillDefaultValue,
		SelectExec:                selectExec,
	}
	err := ivs.initInsertColumns()
	if err != nil {
		b.err = err
		return nil
	}

	if v.IsReplace {
		return b.buildReplace(ivs)
	}
	insert := &InsertExec{
		InsertValues: ivs,
		OnDuplicate:  append(v.OnDuplicate, v.GenCols.OnDuplicates...),
	}
	return insert
}

func (b *executorBuilder) buildLoadData(v *plannercore.LoadData) Executor {
	tbl, ok := b.is.TableByID(v.Table.TableInfo.ID)
	if !ok {
		b.err = errors.Errorf("Can not get table %d", v.Table.TableInfo.ID)
		return nil
	}
	insertVal := &InsertValues{
		baseExecutor: newBaseExecutor(b.ctx, nil, v.ID()),
		Table:        tbl,
		Columns:      v.Columns,
		GenExprs:     v.GenCols.Exprs,
		isLoadData:   true,
		txnInUse:     sync.Mutex{},
	}
	err := insertVal.initInsertColumns()
	if err != nil {
		b.err = err
		return nil
	}
	loadDataExec := &LoadDataExec{
		baseExecutor: newBaseExecutor(b.ctx, nil, v.ID()),
		IsLocal:      v.IsLocal,
		OnDuplicate:  v.OnDuplicate,
		loadDataInfo: &LoadDataInfo{
			row:          make([]types.Datum, len(insertVal.insertColumns)),
			InsertValues: insertVal,
			Path:         v.Path,
			Table:        tbl,
			FieldsInfo:   v.FieldsInfo,
			LinesInfo:    v.LinesInfo,
			IgnoreLines:  v.IgnoreLines,
			Ctx:          b.ctx,
		},
	}
	var defaultLoadDataBatchCnt uint64 = 20000 // TODO this will be changed to variable in another pr
	loadDataExec.loadDataInfo.InitQueues()
	loadDataExec.loadDataInfo.SetMaxRowsInBatch(defaultLoadDataBatchCnt)

	return loadDataExec
}

func (b *executorBuilder) buildLoadStats(v *plannercore.LoadStats) Executor {
	e := &LoadStatsExec{
		baseExecutor: newBaseExecutor(b.ctx, nil, v.ID()),
		info:         &LoadStatsInfo{v.Path, b.ctx},
	}
	return e
}

func (b *executorBuilder) buildIndexAdvise(v *plannercore.IndexAdvise) Executor {
	e := &IndexAdviseExec{
		baseExecutor: newBaseExecutor(b.ctx, nil, v.ID()),
		IsLocal:      v.IsLocal,
		indexAdviseInfo: &IndexAdviseInfo{
			Path:        v.Path,
			MaxMinutes:  v.MaxMinutes,
			MaxIndexNum: v.MaxIndexNum,
			LinesInfo:   v.LinesInfo,
			Ctx:         b.ctx,
		},
	}
	return e
}

func (b *executorBuilder) buildReplace(vals *InsertValues) Executor {
	replaceExec := &ReplaceExec{
		InsertValues: vals,
	}
	return replaceExec
}

func (b *executorBuilder) buildGrant(grant *ast.GrantStmt) Executor {
	e := &GrantExec{
		baseExecutor: newBaseExecutor(b.ctx, nil, 0),
		Privs:        grant.Privs,
		ObjectType:   grant.ObjectType,
		Level:        grant.Level,
		Users:        grant.Users,
		WithGrant:    grant.WithGrant,
		TLSOptions:   grant.TLSOptions,
		is:           b.is,
	}
	return e
}

func (b *executorBuilder) buildRevoke(revoke *ast.RevokeStmt) Executor {
	e := &RevokeExec{
		baseExecutor: newBaseExecutor(b.ctx, nil, 0),
		ctx:          b.ctx,
		Privs:        revoke.Privs,
		ObjectType:   revoke.ObjectType,
		Level:        revoke.Level,
		Users:        revoke.Users,
		is:           b.is,
	}
	return e
}

func (b *executorBuilder) buildDDL(v *plannercore.DDL) Executor {
	e := &DDLExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		stmt:         v.Statement,
		is:           b.is,
	}
	return e
}

// buildTrace builds a TraceExec for future executing. This method will be called
// at build().
func (b *executorBuilder) buildTrace(v *plannercore.Trace) Executor {
	t := &TraceExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		stmtNode:     v.StmtNode,
		builder:      b,
		format:       v.Format,
	}
	if t.format == plannercore.TraceFormatLog {
		return &SortExec{
			baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), t),
			ByItems: []*plannerutil.ByItems{
				{Expr: &expression.Column{
					Index:   0,
					RetType: types.NewFieldType(mysql.TypeTimestamp),
				}},
			},
			schema: v.Schema(),
		}
	}
	return t
}

// buildExplain builds a explain executor. `e.rows` collects final result to `ExplainExec`.
func (b *executorBuilder) buildExplain(v *plannercore.Explain) Executor {
	explainExec := &ExplainExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		explain:      v,
	}
	if v.Analyze {
		if b.ctx.GetSessionVars().StmtCtx.RuntimeStatsColl == nil {
			b.ctx.GetSessionVars().StmtCtx.RuntimeStatsColl = execdetails.NewRuntimeStatsColl()
		}
		explainExec.analyzeExec = b.build(v.TargetPlan)
	}
	return explainExec
}

func (b *executorBuilder) buildSelectInto(v *plannercore.SelectInto) Executor {
	child := b.build(v.TargetPlan)
	if b.err != nil {
		return nil
	}
	return &SelectIntoExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), child),
		intoOpt:      v.IntoOpt,
	}
}

func (b *executorBuilder) buildUnionScanExec(v *plannercore.PhysicalUnionScan) Executor {
	reader := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	return b.buildUnionScanFromReader(reader, v)
}

// buildUnionScanFromReader builds union scan executor from child executor.
// Note that this function may be called by inner workers of index lookup join concurrently.
// Be careful to avoid data race.
func (b *executorBuilder) buildUnionScanFromReader(reader Executor, v *plannercore.PhysicalUnionScan) Executor {
	us := &UnionScanExec{baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), reader)}
	// Get the handle column index of the below Plan.
	us.belowHandleIndex = v.HandleCol.Index
	us.mutableRow = chunk.MutRowFromTypes(retTypes(us))

	// If the push-downed condition contains virtual column, we may build a selection upon reader
	originReader := reader
	if sel, ok := reader.(*SelectionExec); ok {
		reader = sel.children[0]
	}

	switch x := reader.(type) {
	case *TableReaderExecutor:
		us.desc = x.desc
		// Union scan can only be in a write transaction, so DirtyDB should has non-nil value now, thus
		// GetDirtyDB() is safe here. If this table has been modified in the transaction, non-nil DirtyTable
		// can be found in DirtyDB now, so GetDirtyTable is safe; if this table has not been modified in the
		// transaction, empty DirtyTable would be inserted into DirtyDB, it does not matter when multiple
		// goroutines write empty DirtyTable to DirtyDB for this table concurrently. Although the DirtyDB looks
		// safe for data race in all the cases, the map of golang will throw panic when it's accessed in parallel.
		// So we lock it when getting dirty table.
		physicalTableID := getPhysicalTableID(x.table)
		us.dirty = GetDirtyDB(b.ctx).GetDirtyTable(physicalTableID)
		us.conditions, us.conditionsWithVirCol = plannercore.SplitSelCondsWithVirtualColumn(v.Conditions)
		us.columns = x.columns
		us.table = x.table
		us.virtualColumnIndex = x.virtualColumnIndex
	case *IndexReaderExecutor:
		us.desc = x.desc
		for _, ic := range x.index.Columns {
			for i, col := range x.columns {
				if col.Name.L == ic.Name.L {
					us.usedIndex = append(us.usedIndex, i)
					break
				}
			}
		}
		physicalTableID := getPhysicalTableID(x.table)
		us.dirty = GetDirtyDB(b.ctx).GetDirtyTable(physicalTableID)
		us.conditions, us.conditionsWithVirCol = plannercore.SplitSelCondsWithVirtualColumn(v.Conditions)
		us.columns = x.columns
		us.table = x.table
	case *IndexLookUpExecutor:
		us.desc = x.desc
		for _, ic := range x.index.Columns {
			for i, col := range x.columns {
				if col.Name.L == ic.Name.L {
					us.usedIndex = append(us.usedIndex, i)
					break
				}
			}
		}
		physicalTableID := getPhysicalTableID(x.table)
		us.dirty = GetDirtyDB(b.ctx).GetDirtyTable(physicalTableID)
		us.conditions, us.conditionsWithVirCol = plannercore.SplitSelCondsWithVirtualColumn(v.Conditions)
		us.columns = x.columns
		us.table = x.table
		us.virtualColumnIndex = buildVirtualColumnIndex(us.Schema(), us.columns)
	default:
		// The mem table will not be written by sql directly, so we can omit the union scan to avoid err reporting.
		return originReader
	}
	return us
}

// buildMergeJoin builds MergeJoinExec executor.
func (b *executorBuilder) buildMergeJoin(v *plannercore.PhysicalMergeJoin) Executor {
	leftExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}

	rightExec := b.build(v.Children()[1])
	if b.err != nil {
		return nil
	}

	defaultValues := v.DefaultValues
	if defaultValues == nil {
		if v.JoinType == plannercore.RightOuterJoin {
			defaultValues = make([]types.Datum, leftExec.Schema().Len())
		} else {
			defaultValues = make([]types.Datum, rightExec.Schema().Len())
		}
	}

	e := &MergeJoinExec{
		stmtCtx:      b.ctx.GetSessionVars().StmtCtx,
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), leftExec, rightExec),
		compareFuncs: v.CompareFuncs,
		joiner: newJoiner(
			b.ctx,
			v.JoinType,
			v.JoinType == plannercore.RightOuterJoin,
			defaultValues,
			v.OtherConditions,
			retTypes(leftExec),
			retTypes(rightExec),
			nil,
		),
		isOuterJoin: v.JoinType.IsOuterJoin(),
		desc:        v.Desc,
	}

	leftTable := &mergeJoinTable{
		childIndex: 0,
		joinKeys:   v.LeftJoinKeys,
		filters:    v.LeftConditions,
	}
	rightTable := &mergeJoinTable{
		childIndex: 1,
		joinKeys:   v.RightJoinKeys,
		filters:    v.RightConditions,
	}

	if v.JoinType == plannercore.RightOuterJoin {
		e.innerTable = leftTable
		e.outerTable = rightTable
	} else {
		e.innerTable = rightTable
		e.outerTable = leftTable
	}
	e.innerTable.isInner = true

	// optimizer should guarantee that filters on inner table are pushed down
	// to tikv or extracted to a Selection.
	if len(e.innerTable.filters) != 0 {
		b.err = errors.Annotate(ErrBuildExecutor, "merge join's inner filter should be empty.")
		return nil
	}

	executorCounterMergeJoinExec.Inc()
	return e
}

func (b *executorBuilder) buildSideEstCount(v *plannercore.PhysicalHashJoin) float64 {
	buildSide := v.Children()[v.InnerChildIdx]
	if v.UseOuterToBuild {
		buildSide = v.Children()[1-v.InnerChildIdx]
	}
	if buildSide.Stats().HistColl == nil || buildSide.Stats().HistColl.Pseudo {
		return 0.0
	}
	return buildSide.StatsCount()
}

func (b *executorBuilder) buildHashJoin(v *plannercore.PhysicalHashJoin) Executor {
	leftExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}

	rightExec := b.build(v.Children()[1])
	if b.err != nil {
		return nil
	}

	e := &HashJoinExec{
		baseExecutor:    newBaseExecutor(b.ctx, v.Schema(), v.ID(), leftExec, rightExec),
		concurrency:     v.Concurrency,
		joinType:        v.JoinType,
		isOuterJoin:     v.JoinType.IsOuterJoin(),
		useOuterToBuild: v.UseOuterToBuild,
	}
	defaultValues := v.DefaultValues
	lhsTypes, rhsTypes := retTypes(leftExec), retTypes(rightExec)
	if v.InnerChildIdx == 1 {
		if len(v.RightConditions) > 0 {
			b.err = errors.Annotate(ErrBuildExecutor, "join's inner condition should be empty")
			return nil
		}
	} else {
		if len(v.LeftConditions) > 0 {
			b.err = errors.Annotate(ErrBuildExecutor, "join's inner condition should be empty")
			return nil
		}
	}

	// consider collations
	leftTypes := make([]*types.FieldType, 0, len(retTypes(leftExec)))
	for _, tp := range retTypes(leftExec) {
		leftTypes = append(leftTypes, tp.Clone())
	}
	rightTypes := make([]*types.FieldType, 0, len(retTypes(rightExec)))
	for _, tp := range retTypes(rightExec) {
		rightTypes = append(rightTypes, tp.Clone())
	}
	leftIsBuildSide := true

	if v.UseOuterToBuild {
		// update the buildSideEstCount due to changing the build side
		if v.InnerChildIdx == 1 {
			e.buildSideExec, e.buildKeys = leftExec, v.LeftJoinKeys
			e.probeSideExec, e.probeKeys = rightExec, v.RightJoinKeys
			e.outerFilter = v.LeftConditions
		} else {
			e.buildSideExec, e.buildKeys = rightExec, v.RightJoinKeys
			e.probeSideExec, e.probeKeys = leftExec, v.LeftJoinKeys
			e.outerFilter = v.RightConditions
			leftIsBuildSide = false
		}
		if defaultValues == nil {
			defaultValues = make([]types.Datum, e.probeSideExec.Schema().Len())
		}
	} else {
		if v.InnerChildIdx == 0 {
			e.buildSideExec, e.buildKeys = leftExec, v.LeftJoinKeys
			e.probeSideExec, e.probeKeys = rightExec, v.RightJoinKeys
			e.outerFilter = v.RightConditions
		} else {
			e.buildSideExec, e.buildKeys = rightExec, v.RightJoinKeys
			e.probeSideExec, e.probeKeys = leftExec, v.LeftJoinKeys
			e.outerFilter = v.LeftConditions
			leftIsBuildSide = false
		}
		if defaultValues == nil {
			defaultValues = make([]types.Datum, e.buildSideExec.Schema().Len())
		}
	}
	e.buildSideEstCount = b.buildSideEstCount(v)
	childrenUsedSchema := markChildrenUsedCols(v.Schema(), v.Children()[0].Schema(), v.Children()[1].Schema())
	e.joiners = make([]joiner, e.concurrency)
	for i := uint(0); i < e.concurrency; i++ {
		e.joiners[i] = newJoiner(b.ctx, v.JoinType, v.InnerChildIdx == 0, defaultValues,
			v.OtherConditions, lhsTypes, rhsTypes, childrenUsedSchema)
	}
	executorCountHashJoinExec.Inc()

	for i := range v.EqualConditions {
		chs, coll := v.EqualConditions[i].CharsetAndCollation(e.ctx)
		bt := leftTypes[v.LeftJoinKeys[i].Index]
		bt.Charset, bt.Collate = chs, coll
		pt := rightTypes[v.RightJoinKeys[i].Index]
		pt.Charset, pt.Collate = chs, coll
	}
	if leftIsBuildSide {
		e.buildTypes, e.probeTypes = leftTypes, rightTypes
	} else {
		e.buildTypes, e.probeTypes = rightTypes, leftTypes
	}
	return e
}

func (b *executorBuilder) buildHashAgg(v *plannercore.PhysicalHashAgg) Executor {
	src := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	sessionVars := b.ctx.GetSessionVars()
	e := &HashAggExec{
		baseExecutor:    newBaseExecutor(b.ctx, v.Schema(), v.ID(), src),
		sc:              sessionVars.StmtCtx,
		PartialAggFuncs: make([]aggfuncs.AggFunc, 0, len(v.AggFuncs)),
		GroupByItems:    v.GroupByItems,
	}
	// We take `create table t(a int, b int);` as example.
	//
	// 1. If all the aggregation functions are FIRST_ROW, we do not need to set the defaultVal for them:
	// e.g.
	// mysql> select distinct a, b from t;
	// 0 rows in set (0.00 sec)
	//
	// 2. If there exists group by items, we do not need to set the defaultVal for them either:
	// e.g.
	// mysql> select avg(a) from t group by b;
	// Empty set (0.00 sec)
	//
	// mysql> select avg(a) from t group by a;
	// +--------+
	// | avg(a) |
	// +--------+
	// |  NULL  |
	// +--------+
	// 1 row in set (0.00 sec)
	if len(v.GroupByItems) != 0 || aggregation.IsAllFirstRow(v.AggFuncs) {
		e.defaultVal = nil
	} else {
		e.defaultVal = chunk.NewChunkWithCapacity(retTypes(e), 1)
	}
	for _, aggDesc := range v.AggFuncs {
		if aggDesc.HasDistinct || len(aggDesc.OrderByItems) > 0 {
			e.isUnparallelExec = true
		}
	}
	// When we set both tidb_hashagg_final_concurrency and tidb_hashagg_partial_concurrency to 1,
	// we do not need to parallelly execute hash agg,
	// and this action can be a workaround when meeting some unexpected situation using parallelExec.
	if finalCon, partialCon := sessionVars.HashAggFinalConcurrency, sessionVars.HashAggPartialConcurrency; finalCon <= 0 || partialCon <= 0 || finalCon == 1 && partialCon == 1 {
		e.isUnparallelExec = true
	}
	partialOrdinal := 0
	for i, aggDesc := range v.AggFuncs {
		if e.isUnparallelExec {
			e.PartialAggFuncs = append(e.PartialAggFuncs, aggfuncs.Build(b.ctx, aggDesc, i))
		} else {
			ordinal := []int{partialOrdinal}
			partialOrdinal++
			if aggDesc.Name == ast.AggFuncAvg {
				ordinal = append(ordinal, partialOrdinal+1)
				partialOrdinal++
			}
			partialAggDesc, finalDesc := aggDesc.Split(ordinal)
			partialAggFunc := aggfuncs.Build(b.ctx, partialAggDesc, i)
			finalAggFunc := aggfuncs.Build(b.ctx, finalDesc, i)
			e.PartialAggFuncs = append(e.PartialAggFuncs, partialAggFunc)
			e.FinalAggFuncs = append(e.FinalAggFuncs, finalAggFunc)
			if partialAggDesc.Name == ast.AggFuncGroupConcat {
				// For group_concat, finalAggFunc and partialAggFunc need shared `truncate` flag to do duplicate.
				finalAggFunc.(interface{ SetTruncated(t *int32) }).SetTruncated(
					partialAggFunc.(interface{ GetTruncated() *int32 }).GetTruncated(),
				)
			}
		}
		if e.defaultVal != nil {
			value := aggDesc.GetDefaultValue()
			e.defaultVal.AppendDatum(i, &value)
		}
	}

	executorCounterHashAggExec.Inc()
	return e
}

func (b *executorBuilder) buildStreamAgg(v *plannercore.PhysicalStreamAgg) Executor {
	src := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	e := &StreamAggExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), src),
		groupChecker: newVecGroupChecker(b.ctx, v.GroupByItems),
		aggFuncs:     make([]aggfuncs.AggFunc, 0, len(v.AggFuncs)),
	}
	if len(v.GroupByItems) != 0 || aggregation.IsAllFirstRow(v.AggFuncs) {
		e.defaultVal = nil
	} else {
		e.defaultVal = chunk.NewChunkWithCapacity(retTypes(e), 1)
	}
	for i, aggDesc := range v.AggFuncs {
		aggFunc := aggfuncs.Build(b.ctx, aggDesc, i)
		e.aggFuncs = append(e.aggFuncs, aggFunc)
		if e.defaultVal != nil {
			value := aggDesc.GetDefaultValue()
			e.defaultVal.AppendDatum(i, &value)
		}
	}

	executorStreamAggExec.Inc()
	return e
}

func (b *executorBuilder) buildSelection(v *plannercore.PhysicalSelection) Executor {
	childExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	e := &SelectionExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExec),
		filters:      v.Conditions,
	}
	return e
}

func (b *executorBuilder) buildProjection(v *plannercore.PhysicalProjection) Executor {
	childExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	e := &ProjectionExec{
		baseExecutor:     newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExec),
		numWorkers:       b.ctx.GetSessionVars().ProjectionConcurrency,
		evaluatorSuit:    expression.NewEvaluatorSuite(v.Exprs, v.AvoidColumnEvaluator),
		calculateNoDelay: v.CalculateNoDelay,
	}

	// If the calculation row count for this Projection operator is smaller
	// than a Chunk size, we turn back to the un-parallel Projection
	// implementation to reduce the goroutine overhead.
	if int64(v.StatsCount()) < int64(b.ctx.GetSessionVars().MaxChunkSize) {
		e.numWorkers = 0
	}
	return e
}

func (b *executorBuilder) buildTableDual(v *plannercore.PhysicalTableDual) Executor {
	if v.RowCount != 0 && v.RowCount != 1 {
		b.err = errors.Errorf("buildTableDual failed, invalid row count for dual table: %v", v.RowCount)
		return nil
	}
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID())
	base.initCap = v.RowCount
	e := &TableDualExec{
		baseExecutor: base,
		numDualRows:  v.RowCount,
	}
	return e
}

// `getSnapshotTS` returns the timestamp of the snapshot that a reader should read.
func (b *executorBuilder) getSnapshotTS() (uint64, error) {
	// `refreshForUpdateTSForRC` should always be invoked before returning the cached value to
	// ensure the correct value is returned even the `snapshotTS` field is already set by other
	// logics. However for `IndexLookUpMergeJoin` and `IndexLookUpHashJoin`, it requires caching the
	// snapshotTS and and may even use it after the txn being destroyed. In this case, mark
	// `snapshotTSCached` to skip `refreshForUpdateTSForRC`.
	if b.snapshotTSCached {
		return b.snapshotTS, nil
	}

	if b.ctx.GetSessionVars().IsPessimisticReadConsistency() {
		if err := b.refreshForUpdateTSForRC(); err != nil {
			return 0, err
		}
	}

	if b.snapshotTS != 0 {
		b.snapshotTSCached = true
		// Return the cached value.
		return b.snapshotTS, nil
	}

	snapshotTS := b.ctx.GetSessionVars().SnapshotTS
	if snapshotTS == 0 {
		txn, err := b.ctx.Txn(true)
		if err != nil {
			return 0, err
		}
		snapshotTS = txn.StartTS()
	}
	b.snapshotTS = snapshotTS
	if b.snapshotTS == 0 {
		return 0, errors.Trace(ErrGetStartTS)
	}
	b.snapshotTSCached = true
	return snapshotTS, nil
}

func (b *executorBuilder) buildMemTable(v *plannercore.PhysicalMemTable) Executor {
	switch v.DBName.L {
	case util.MetricSchemaName.L:
		return &MemTableReaderExec{
			baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
			table:        v.Table,
			retriever: &MetricRetriever{
				table:     v.Table,
				extractor: v.Extractor.(*plannercore.MetricTableExtractor),
			},
		}
	case util.InformationSchemaName.L:
		switch v.Table.Name.L {
		case strings.ToLower(infoschema.TableClusterConfig):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &clusterConfigRetriever{
					extractor: v.Extractor.(*plannercore.ClusterTableExtractor),
				},
			}
		case strings.ToLower(infoschema.TableClusterLoad):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &clusterServerInfoRetriever{
					extractor:      v.Extractor.(*plannercore.ClusterTableExtractor),
					serverInfoType: diagnosticspb.ServerInfoType_LoadInfo,
				},
			}
		case strings.ToLower(infoschema.TableClusterHardware):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &clusterServerInfoRetriever{
					extractor:      v.Extractor.(*plannercore.ClusterTableExtractor),
					serverInfoType: diagnosticspb.ServerInfoType_HardwareInfo,
				},
			}
		case strings.ToLower(infoschema.TableClusterSystemInfo):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &clusterServerInfoRetriever{
					extractor:      v.Extractor.(*plannercore.ClusterTableExtractor),
					serverInfoType: diagnosticspb.ServerInfoType_SystemInfo,
				},
			}
		case strings.ToLower(infoschema.TableClusterLog):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &clusterLogRetriever{
					extractor: v.Extractor.(*plannercore.ClusterLogTableExtractor),
				},
			}
		case strings.ToLower(infoschema.TableInspectionResult):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &inspectionResultRetriever{
					extractor: v.Extractor.(*plannercore.InspectionResultTableExtractor),
					timeRange: v.QueryTimeRange,
				},
			}
		case strings.ToLower(infoschema.TableInspectionSummary):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &inspectionSummaryRetriever{
					table:     v.Table,
					extractor: v.Extractor.(*plannercore.InspectionSummaryTableExtractor),
					timeRange: v.QueryTimeRange,
				},
			}
		case strings.ToLower(infoschema.TableInspectionRules):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &inspectionRuleRetriever{
					extractor: v.Extractor.(*plannercore.InspectionRuleTableExtractor),
				},
			}
		case strings.ToLower(infoschema.TableMetricSummary):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &MetricsSummaryRetriever{
					table:     v.Table,
					extractor: v.Extractor.(*plannercore.MetricSummaryTableExtractor),
					timeRange: v.QueryTimeRange,
				},
			}
		case strings.ToLower(infoschema.TableMetricSummaryByLabel):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &MetricsSummaryByLabelRetriever{
					table:     v.Table,
					extractor: v.Extractor.(*plannercore.MetricSummaryTableExtractor),
					timeRange: v.QueryTimeRange,
				},
			}
		case strings.ToLower(infoschema.TableSchemata),
			strings.ToLower(infoschema.TableStatistics),
			strings.ToLower(infoschema.TableTiDBIndexes),
			strings.ToLower(infoschema.TableViews),
			strings.ToLower(infoschema.TableTables),
			strings.ToLower(infoschema.TableSequences),
			strings.ToLower(infoschema.TablePartitions),
			strings.ToLower(infoschema.TableEngines),
			strings.ToLower(infoschema.TableCollations),
			strings.ToLower(infoschema.TableAnalyzeStatus),
			strings.ToLower(infoschema.TableClusterInfo),
			strings.ToLower(infoschema.TableProfiling),
			strings.ToLower(infoschema.TableCharacterSets),
			strings.ToLower(infoschema.TableKeyColumn),
			strings.ToLower(infoschema.TableUserPrivileges),
			strings.ToLower(infoschema.TableMetricTables),
			strings.ToLower(infoschema.TableCollationCharacterSetApplicability),
			strings.ToLower(infoschema.TableProcesslist),
			strings.ToLower(infoschema.ClusterTableProcesslist),
			strings.ToLower(infoschema.TableTiKVRegionPeers),
			strings.ToLower(infoschema.TableTiDBHotRegions),
			strings.ToLower(infoschema.TableSessionVar),
			strings.ToLower(infoschema.TableConstraints),
			strings.ToLower(infoschema.TableTiFlashReplica),
			strings.ToLower(infoschema.TableTiDBServersInfo),
			strings.ToLower(infoschema.TableStatementsSummary),
			strings.ToLower(infoschema.TableStatementsSummaryHistory),
			strings.ToLower(infoschema.ClusterTableStatementsSummary),
			strings.ToLower(infoschema.ClusterTableStatementsSummaryHistory),
			strings.ToLower(infoschema.TableClientErrorsSummaryGlobal),
			strings.ToLower(infoschema.TableClientErrorsSummaryByUser),
			strings.ToLower(infoschema.TableClientErrorsSummaryByHost):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &memtableRetriever{
					table:   v.Table,
					columns: v.Columns,
				},
			}
		case strings.ToLower(infoschema.TableColumns):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &hugeMemTableRetriever{
					table:   v.Table,
					columns: v.Columns,
				},
			}

		case strings.ToLower(infoschema.TableSlowQuery), strings.ToLower(infoschema.ClusterTableSlowLog):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &slowQueryRetriever{
					table:      v.Table,
					outputCols: v.Columns,
					extractor:  v.Extractor.(*plannercore.SlowQueryExtractor),
				},
			}
		case strings.ToLower(infoschema.TableStorageStats):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &tableStorageStatsRetriever{
					table:      v.Table,
					outputCols: v.Columns,
					extractor:  v.Extractor.(*plannercore.TableStorageStatsExtractor),
				},
			}
		case strings.ToLower(infoschema.TableDDLJobs):
			return &DDLJobsReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				is:           b.is,
			}
		case strings.ToLower(infoschema.TableTiFlashTables),
			strings.ToLower(infoschema.TableTiFlashSegments):
			return &MemTableReaderExec{
				baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
				table:        v.Table,
				retriever: &TiFlashSystemTableRetriever{
					table:      v.Table,
					outputCols: v.Columns,
					extractor:  v.Extractor.(*plannercore.TiFlashSystemTableExtractor),
				},
			}
		}
	}
	tb, _ := b.is.TableByID(v.Table.ID)
	return &TableScanExec{
		baseExecutor:   newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		t:              tb,
		columns:        v.Columns,
		seekHandle:     math.MinInt64,
		isVirtualTable: !tb.Type().IsNormalTable(),
	}
}

func (b *executorBuilder) buildSort(v *plannercore.PhysicalSort) Executor {
	childExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	sortExec := SortExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExec),
		ByItems:      v.ByItems,
		schema:       v.Schema(),
	}
	executorCounterSortExec.Inc()
	return &sortExec
}

func (b *executorBuilder) buildTopN(v *plannercore.PhysicalTopN) Executor {
	childExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	sortExec := SortExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExec),
		ByItems:      v.ByItems,
		schema:       v.Schema(),
	}
	executorCounterTopNExec.Inc()
	return &TopNExec{
		SortExec: sortExec,
		limit:    &plannercore.PhysicalLimit{Count: v.Count, Offset: v.Offset},
	}
}

func (b *executorBuilder) buildApply(v *plannercore.PhysicalApply) *NestedLoopApplyExec {
	leftChild := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	rightChild := b.build(v.Children()[1])
	if b.err != nil {
		return nil
	}
	otherConditions := append(expression.ScalarFuncs2Exprs(v.EqualConditions), v.OtherConditions...)
	defaultValues := v.DefaultValues
	if defaultValues == nil {
		defaultValues = make([]types.Datum, v.Children()[v.InnerChildIdx].Schema().Len())
	}
	outerExec, innerExec := leftChild, rightChild
	outerFilter, innerFilter := v.LeftConditions, v.RightConditions
	if v.InnerChildIdx == 0 {
		outerExec, innerExec = rightChild, leftChild
		outerFilter, innerFilter = v.RightConditions, v.LeftConditions
	}
	tupleJoiner := newJoiner(b.ctx, v.JoinType, v.InnerChildIdx == 0,
		defaultValues, otherConditions, retTypes(leftChild), retTypes(rightChild), nil)
	e := &NestedLoopApplyExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), outerExec, innerExec),
		innerExec:    innerExec,
		outerExec:    outerExec,
		outerFilter:  outerFilter,
		innerFilter:  innerFilter,
		outer:        v.JoinType != plannercore.InnerJoin,
		joiner:       tupleJoiner,
		outerSchema:  v.OuterSchema,
	}
	executorCounterNestedLoopApplyExec.Inc()
	return e
}

func (b *executorBuilder) buildMaxOneRow(v *plannercore.PhysicalMaxOneRow) Executor {
	childExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExec)
	base.initCap = 2
	base.maxChunkSize = 2
	e := &MaxOneRowExec{baseExecutor: base}
	return e
}

func (b *executorBuilder) buildUnionAll(v *plannercore.PhysicalUnionAll) Executor {
	childExecs := make([]Executor, len(v.Children()))
	for i, child := range v.Children() {
		childExecs[i] = b.build(child)
		if b.err != nil {
			return nil
		}
	}
	e := &UnionExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExecs...),
		concurrency:  b.ctx.GetSessionVars().Concurrency.UnionConcurrency,
	}
	return e
}

func (b *executorBuilder) buildSplitRegion(v *plannercore.SplitRegion) Executor {
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID())
	base.initCap = 1
	base.maxChunkSize = 1
	if v.IndexInfo != nil {
		return &SplitIndexRegionExec{
			baseExecutor:   base,
			tableInfo:      v.TableInfo,
			partitionNames: v.PartitionNames,
			indexInfo:      v.IndexInfo,
			lower:          v.Lower,
			upper:          v.Upper,
			num:            v.Num,
			valueLists:     v.ValueLists,
		}
	}
	if len(v.ValueLists) > 0 {
		return &SplitTableRegionExec{
			baseExecutor:   base,
			tableInfo:      v.TableInfo,
			partitionNames: v.PartitionNames,
			valueLists:     v.ValueLists,
		}
	}
	return &SplitTableRegionExec{
		baseExecutor:   base,
		tableInfo:      v.TableInfo,
		partitionNames: v.PartitionNames,
		lower:          v.Lower[0],
		upper:          v.Upper[0],
		num:            v.Num,
	}
}

func (b *executorBuilder) buildUpdate(v *plannercore.Update) Executor {
	tblID2table := make(map[int64]table.Table, len(v.TblColPosInfos))
	for _, info := range v.TblColPosInfos {
		tbl, _ := b.is.TableByID(info.TblID)
		tblID2table[info.TblID] = tbl
		if len(v.PartitionedTable) > 0 {
			// The v.PartitionedTable collects the partitioned table.
			// Replace the original table with the partitioned table to support partition selection.
			// e.g. update t partition (p0, p1), the new values are not belong to the given set p0, p1
			// Using the table in v.PartitionedTable returns a proper error, while using the original table can't.
			for _, p := range v.PartitionedTable {
				if info.TblID == p.Meta().ID {
					tblID2table[info.TblID] = p
				}
			}
		}
	}
	if b.err = b.updateForUpdateTSIfNeeded(v.SelectPlan); b.err != nil {
		return nil
	}
	b.snapshotTS = b.ctx.GetSessionVars().TxnCtx.GetForUpdateTS()
	selExec := b.build(v.SelectPlan)
	if b.err != nil {
		return nil
	}
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID(), selExec)
	base.initCap = chunk.ZeroCapacity
	updateExec := &UpdateExec{
		baseExecutor:              base,
		OrderedList:               v.OrderedList,
		allAssignmentsAreConstant: v.AllAssignmentsAreConstant,
		tblID2table:               tblID2table,
		tblColPosInfos:            v.TblColPosInfos,
	}
	return updateExec
}

func (b *executorBuilder) buildDelete(v *plannercore.Delete) Executor {
	tblID2table := make(map[int64]table.Table, len(v.TblColPosInfos))
	for _, info := range v.TblColPosInfos {
		tblID2table[info.TblID], _ = b.is.TableByID(info.TblID)
	}
	if b.err = b.updateForUpdateTSIfNeeded(v.SelectPlan); b.err != nil {
		return nil
	}
	b.snapshotTS = b.ctx.GetSessionVars().TxnCtx.GetForUpdateTS()
	selExec := b.build(v.SelectPlan)
	if b.err != nil {
		return nil
	}
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID(), selExec)
	base.initCap = chunk.ZeroCapacity
	deleteExec := &DeleteExec{
		baseExecutor:   base,
		tblID2Table:    tblID2table,
		IsMultiTable:   v.IsMultiTable,
		tblColPosInfos: v.TblColPosInfos,
	}
	return deleteExec
}

// updateForUpdateTSIfNeeded updates the ForUpdateTS for a pessimistic transaction if needed.
// PointGet executor will get conflict error if the ForUpdateTS is older than the latest commitTS,
// so we don't need to update now for better latency.
func (b *executorBuilder) updateForUpdateTSIfNeeded(selectPlan plannercore.PhysicalPlan) error {
	txnCtx := b.ctx.GetSessionVars().TxnCtx
	if !txnCtx.IsPessimistic {
		return nil
	}
	if _, ok := selectPlan.(*plannercore.PointGetPlan); ok {
		return nil
	}
	// Activate the invalid txn, use the txn startTS as newForUpdateTS
	txn, err := b.ctx.Txn(false)
	if err != nil {
		return err
	}
	if !txn.Valid() {
		_, err := b.ctx.Txn(true)
		if err != nil {
			return err
		}
		return nil
	}
	// The Repeatable Read transaction use Read Committed level to read data for writing (insert, update, delete, select for update),
	// We should always update/refresh the for-update-ts no matter the isolation level is RR or RC.
	if b.ctx.GetSessionVars().IsPessimisticReadConsistency() {
		return b.refreshForUpdateTSForRC()
	}
	return UpdateForUpdateTS(b.ctx, 0)
}

// refreshForUpdateTSForRC is used to refresh the for-update-ts for reading data at read consistency level in pessimistic transaction.
// It could use the cached tso from the statement future to avoid get tso many times.
func (b *executorBuilder) refreshForUpdateTSForRC() error {
	defer func() {
		b.snapshotTS = b.ctx.GetSessionVars().TxnCtx.GetForUpdateTS()
	}()
	future := b.ctx.GetSessionVars().TxnCtx.GetStmtFutureForRC()
	if future == nil {
		return nil
	}
	newForUpdateTS, waitErr := future.Wait()
	if waitErr != nil {
		logutil.BgLogger().Warn("wait tso failed",
			zap.Uint64("startTS", b.ctx.GetSessionVars().TxnCtx.StartTS),
			zap.Error(waitErr))
	}
	b.ctx.GetSessionVars().TxnCtx.SetStmtFutureForRC(nil)
	// If newForUpdateTS is 0, it will force to get a new for-update-ts from PD.
	return UpdateForUpdateTS(b.ctx, newForUpdateTS)
}

func (b *executorBuilder) buildAnalyzeIndexPushdown(task plannercore.AnalyzeIndexTask, opts map[ast.AnalyzeOptionType]uint64, autoAnalyze string) *analyzeTask {
	_, offset := timeutil.Zone(b.ctx.GetSessionVars().Location())
	sc := b.ctx.GetSessionVars().StmtCtx
	e := &AnalyzeIndexExec{
		ctx:             b.ctx,
		physicalTableID: task.PhysicalTableID,
		idxInfo:         task.IndexInfo,
		concurrency:     b.ctx.GetSessionVars().IndexSerialScanConcurrency,
		analyzePB: &tipb.AnalyzeReq{
			Tp:             tipb.AnalyzeType_TypeIndex,
			Flags:          sc.PushDownFlags(),
			TimeZoneOffset: offset,
		},
		opts: opts,
	}
	e.analyzePB.IdxReq = &tipb.AnalyzeIndexReq{
		BucketSize: int64(opts[ast.AnalyzeOptNumBuckets]),
		NumColumns: int32(len(task.IndexInfo.Columns)),
	}
	depth := int32(opts[ast.AnalyzeOptCMSketchDepth])
	width := int32(opts[ast.AnalyzeOptCMSketchWidth])
	e.analyzePB.IdxReq.CmsketchDepth = &depth
	e.analyzePB.IdxReq.CmsketchWidth = &width
	job := &statistics.AnalyzeJob{DBName: task.DBName, TableName: task.TableName, PartitionName: task.PartitionName, JobInfo: autoAnalyze + "analyze index " + task.IndexInfo.Name.O}
	return &analyzeTask{taskType: idxTask, idxExec: e, job: job}
}

func (b *executorBuilder) buildAnalyzeIndexIncremental(task plannercore.AnalyzeIndexTask, opts map[ast.AnalyzeOptionType]uint64) *analyzeTask {
	h := domain.GetDomain(b.ctx).StatsHandle()
	statsTbl := h.GetPartitionStats(&model.TableInfo{}, task.PhysicalTableID)
	analyzeTask := b.buildAnalyzeIndexPushdown(task, opts, "")
	if statsTbl.Pseudo {
		return analyzeTask
	}
	idx, ok := statsTbl.Indices[task.IndexInfo.ID]
	if !ok || idx.Len() == 0 || idx.LastAnalyzePos.IsNull() {
		return analyzeTask
	}
	var oldHist *statistics.Histogram
	if statistics.IsAnalyzed(idx.Flag) {
		exec := analyzeTask.idxExec
		if idx.CMSketch != nil {
			width, depth := idx.CMSketch.GetWidthAndDepth()
			exec.analyzePB.IdxReq.CmsketchWidth = &width
			exec.analyzePB.IdxReq.CmsketchDepth = &depth
		}
		oldHist = idx.Histogram.Copy()
	} else {
		_, bktID := idx.LessRowCountWithBktIdx(idx.LastAnalyzePos)
		if bktID == 0 {
			return analyzeTask
		}
		oldHist = idx.TruncateHistogram(bktID)
	}
	oldHist = oldHist.RemoveUpperBound()
	analyzeTask.taskType = idxIncrementalTask
	analyzeTask.idxIncrementalExec = &analyzeIndexIncrementalExec{AnalyzeIndexExec: *analyzeTask.idxExec, oldHist: oldHist, oldCMS: idx.CMSketch}
	analyzeTask.job = &statistics.AnalyzeJob{DBName: task.DBName, TableName: task.TableName, PartitionName: task.PartitionName, JobInfo: "analyze incremental index " + task.IndexInfo.Name.O}
	return analyzeTask
}

func (b *executorBuilder) buildAnalyzeColumnsPushdown(task plannercore.AnalyzeColumnsTask, opts map[ast.AnalyzeOptionType]uint64, autoAnalyze string) *analyzeTask {
	cols := task.ColsInfo
	if task.PKInfo != nil {
		cols = append([]*model.ColumnInfo{task.PKInfo}, cols...)
	}

	_, offset := timeutil.Zone(b.ctx.GetSessionVars().Location())
	sc := b.ctx.GetSessionVars().StmtCtx
	e := &AnalyzeColumnsExec{
		ctx:             b.ctx,
		physicalTableID: task.PhysicalTableID,
		colsInfo:        task.ColsInfo,
		pkInfo:          task.PKInfo,
		concurrency:     b.ctx.GetSessionVars().DistSQLScanConcurrency,
		analyzePB: &tipb.AnalyzeReq{
			Tp:             tipb.AnalyzeType_TypeColumn,
			Flags:          sc.PushDownFlags(),
			TimeZoneOffset: offset,
		},
		opts: opts,
	}
	depth := int32(opts[ast.AnalyzeOptCMSketchDepth])
	width := int32(opts[ast.AnalyzeOptCMSketchWidth])
	e.analyzePB.ColReq = &tipb.AnalyzeColumnsReq{
		BucketSize:    int64(opts[ast.AnalyzeOptNumBuckets]),
		SampleSize:    maxRegionSampleSize,
		SketchSize:    maxSketchSize,
		ColumnsInfo:   util.ColumnsToProto(cols, task.PKInfo != nil),
		CmsketchDepth: &depth,
		CmsketchWidth: &width,
	}
	b.err = plannercore.SetPBColumnsDefaultValue(b.ctx, e.analyzePB.ColReq.ColumnsInfo, cols)
	job := &statistics.AnalyzeJob{DBName: task.DBName, TableName: task.TableName, PartitionName: task.PartitionName, JobInfo: autoAnalyze + "analyze columns"}
	return &analyzeTask{taskType: colTask, colExec: e, job: job}
}

func (b *executorBuilder) buildAnalyzePKIncremental(task plannercore.AnalyzeColumnsTask, opts map[ast.AnalyzeOptionType]uint64) *analyzeTask {
	h := domain.GetDomain(b.ctx).StatsHandle()
	statsTbl := h.GetPartitionStats(&model.TableInfo{}, task.PhysicalTableID)
	analyzeTask := b.buildAnalyzeColumnsPushdown(task, opts, "")
	if statsTbl.Pseudo {
		return analyzeTask
	}
	col, ok := statsTbl.Columns[task.PKInfo.ID]
	if !ok || col.Len() == 0 || col.LastAnalyzePos.IsNull() {
		return analyzeTask
	}
	var oldHist *statistics.Histogram
	if statistics.IsAnalyzed(col.Flag) {
		oldHist = col.Histogram.Copy()
	} else {
		d, err := col.LastAnalyzePos.ConvertTo(b.ctx.GetSessionVars().StmtCtx, col.Tp)
		if err != nil {
			b.err = err
			return nil
		}
		_, bktID := col.LessRowCountWithBktIdx(d)
		if bktID == 0 {
			return analyzeTask
		}
		oldHist = col.TruncateHistogram(bktID)
		oldHist.NDV = int64(oldHist.TotalRowCount())
	}
	exec := analyzeTask.colExec
	analyzeTask.taskType = pkIncrementalTask
	analyzeTask.colIncrementalExec = &analyzePKIncrementalExec{AnalyzeColumnsExec: *exec, oldHist: oldHist}
	analyzeTask.job = &statistics.AnalyzeJob{DBName: task.DBName, TableName: task.TableName, PartitionName: task.PartitionName, JobInfo: "analyze incremental primary key"}
	return analyzeTask
}

func (b *executorBuilder) buildAnalyzeFastColumn(e *AnalyzeExec, task plannercore.AnalyzeColumnsTask, opts map[ast.AnalyzeOptionType]uint64) {
	findTask := false
	for _, eTask := range e.tasks {
		if eTask.fastExec.physicalTableID == task.PhysicalTableID {
			eTask.fastExec.colsInfo = append(eTask.fastExec.colsInfo, task.ColsInfo...)
			findTask = true
			break
		}
	}
	if !findTask {
		var concurrency int
		concurrency, b.err = getBuildStatsConcurrency(e.ctx)
		if b.err != nil {
			return
		}
		e.tasks = append(e.tasks, &analyzeTask{
			taskType: fastTask,
			fastExec: &AnalyzeFastExec{
				ctx:             b.ctx,
				physicalTableID: task.PhysicalTableID,
				colsInfo:        task.ColsInfo,
				pkInfo:          task.PKInfo,
				opts:            opts,
				tblInfo:         task.TblInfo,
				concurrency:     concurrency,
				wg:              &sync.WaitGroup{},
			},
			job: &statistics.AnalyzeJob{DBName: task.DBName, TableName: task.TableName, PartitionName: task.PartitionName, JobInfo: "fast analyze columns"},
		})
	}
}

func (b *executorBuilder) buildAnalyzeFastIndex(e *AnalyzeExec, task plannercore.AnalyzeIndexTask, opts map[ast.AnalyzeOptionType]uint64) {
	findTask := false
	for _, eTask := range e.tasks {
		if eTask.fastExec.physicalTableID == task.PhysicalTableID {
			eTask.fastExec.idxsInfo = append(eTask.fastExec.idxsInfo, task.IndexInfo)
			findTask = true
			break
		}
	}
	if !findTask {
		var concurrency int
		concurrency, b.err = getBuildStatsConcurrency(e.ctx)
		if b.err != nil {
			return
		}
		e.tasks = append(e.tasks, &analyzeTask{
			taskType: fastTask,
			fastExec: &AnalyzeFastExec{
				ctx:             b.ctx,
				physicalTableID: task.PhysicalTableID,
				idxsInfo:        []*model.IndexInfo{task.IndexInfo},
				opts:            opts,
				tblInfo:         task.TblInfo,
				concurrency:     concurrency,
				wg:              &sync.WaitGroup{},
			},
			job: &statistics.AnalyzeJob{DBName: task.DBName, TableName: task.TableName, PartitionName: "fast analyze index " + task.IndexInfo.Name.O},
		})
	}
}

func (b *executorBuilder) buildAnalyze(v *plannercore.Analyze) Executor {
	e := &AnalyzeExec{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		tasks:        make([]*analyzeTask, 0, len(v.ColTasks)+len(v.IdxTasks)),
		wg:           &sync.WaitGroup{},
	}
	enableFastAnalyze := b.ctx.GetSessionVars().EnableFastAnalyze
	autoAnalyze := ""
	if b.ctx.GetSessionVars().InRestrictedSQL {
		autoAnalyze = "auto "
	}
	for _, task := range v.ColTasks {
		if task.Incremental {
			e.tasks = append(e.tasks, b.buildAnalyzePKIncremental(task, v.Opts))
		} else {
			if enableFastAnalyze {
				b.buildAnalyzeFastColumn(e, task, v.Opts)
			} else {
				e.tasks = append(e.tasks, b.buildAnalyzeColumnsPushdown(task, v.Opts, autoAnalyze))
			}
		}
		if b.err != nil {
			return nil
		}
	}
	for _, task := range v.IdxTasks {
		if task.Incremental {
			e.tasks = append(e.tasks, b.buildAnalyzeIndexIncremental(task, v.Opts))
		} else {
			if enableFastAnalyze {
				b.buildAnalyzeFastIndex(e, task, v.Opts)
			} else {
				e.tasks = append(e.tasks, b.buildAnalyzeIndexPushdown(task, v.Opts, autoAnalyze))
			}
		}
		if b.err != nil {
			return nil
		}
	}
	return e
}

func constructDistExec(sctx sessionctx.Context, plans []plannercore.PhysicalPlan) ([]*tipb.Executor, bool, error) {
	streaming := true
	executors := make([]*tipb.Executor, 0, len(plans))
	for _, p := range plans {
		execPB, err := p.ToPB(sctx, kv.TiKV)
		if err != nil {
			return nil, false, err
		}
		if !plannercore.SupportStreaming(p) {
			streaming = false
		}
		executors = append(executors, execPB)
	}
	return executors, streaming, nil
}

// markChildrenUsedCols compares each child with the output schema, and mark
// each column of the child is used by output or not.
func markChildrenUsedCols(outputSchema *expression.Schema, childSchema ...*expression.Schema) (childrenUsed [][]bool) {
	for _, child := range childSchema {
		used := expression.GetUsedList(outputSchema.Columns, child)
		childrenUsed = append(childrenUsed, used)
	}
	return
}

func constructDistExecForTiFlash(sctx sessionctx.Context, p plannercore.PhysicalPlan) ([]*tipb.Executor, bool, error) {
	execPB, err := p.ToPB(sctx, kv.TiFlash)
	return []*tipb.Executor{execPB}, false, err

}

func (b *executorBuilder) constructDAGReq(plans []plannercore.PhysicalPlan, storeType kv.StoreType) (dagReq *tipb.DAGRequest, streaming bool, err error) {
	dagReq = &tipb.DAGRequest{}
	dagReq.TimeZoneName, dagReq.TimeZoneOffset = timeutil.Zone(b.ctx.GetSessionVars().Location())
	sc := b.ctx.GetSessionVars().StmtCtx
	if sc.RuntimeStatsColl != nil {
		collExec := true
		dagReq.CollectExecutionSummaries = &collExec
	}
	dagReq.Flags = sc.PushDownFlags()
	if storeType == kv.TiFlash {
		var executors []*tipb.Executor
		executors, streaming, err = constructDistExecForTiFlash(b.ctx, plans[0])
		dagReq.RootExecutor = executors[0]
	} else {
		dagReq.Executors, streaming, err = constructDistExec(b.ctx, plans)
	}

	distsql.SetEncodeType(b.ctx, dagReq)
	return dagReq, streaming, err
}

func (b *executorBuilder) corColInDistPlan(plans []plannercore.PhysicalPlan) bool {
	for _, p := range plans {
		x, ok := p.(*plannercore.PhysicalSelection)
		if !ok {
			continue
		}
		for _, cond := range x.Conditions {
			if len(expression.ExtractCorColumns(cond)) > 0 {
				return true
			}
		}
	}
	return false
}

// corColInAccess checks whether there's correlated column in access conditions.
func (b *executorBuilder) corColInAccess(p plannercore.PhysicalPlan) bool {
	var access []expression.Expression
	switch x := p.(type) {
	case *plannercore.PhysicalTableScan:
		access = x.AccessCondition
	case *plannercore.PhysicalIndexScan:
		access = x.AccessCondition
	}
	for _, cond := range access {
		if len(expression.ExtractCorColumns(cond)) > 0 {
			return true
		}
	}
	return false
}

func (b *executorBuilder) buildIndexLookUpJoin(v *plannercore.PhysicalIndexJoin) Executor {
	outerExec := b.build(v.Children()[1-v.InnerChildIdx])
	if b.err != nil {
		return nil
	}
	outerTypes := retTypes(outerExec)
	innerPlan := v.Children()[v.InnerChildIdx]
	innerTypes := make([]*types.FieldType, innerPlan.Schema().Len())
	for i, col := range innerPlan.Schema().Columns {
		innerTypes[i] = col.RetType.Clone()
		// The `innerTypes` would be called for `Datum.ConvertTo` when converting the columns from outer table
		// to build hash map or construct lookup keys. So we need to modify its Flen otherwise there would be
		// truncate error. See issue https://github.com/pingcap/tidb/issues/21232 for example.
		if innerTypes[i].EvalType() == types.ETString {
			innerTypes[i].Flen = types.UnspecifiedLength
		}
	}

	// Use the probe table's collation.
	for i, col := range v.OuterHashKeys {
		outerTypes[col.Index] = outerTypes[col.Index].Clone()
		outerTypes[col.Index].Collate = innerTypes[v.InnerHashKeys[i].Index].Collate
	}

	var (
		outerFilter           []expression.Expression
		leftTypes, rightTypes []*types.FieldType
	)

	if v.InnerChildIdx == 0 {
		leftTypes, rightTypes = innerTypes, outerTypes
		outerFilter = v.RightConditions
		if len(v.LeftConditions) > 0 {
			b.err = errors.Annotate(ErrBuildExecutor, "join's inner condition should be empty")
			return nil
		}
	} else {
		leftTypes, rightTypes = outerTypes, innerTypes
		outerFilter = v.LeftConditions
		if len(v.RightConditions) > 0 {
			b.err = errors.Annotate(ErrBuildExecutor, "join's inner condition should be empty")
			return nil
		}
	}
	defaultValues := v.DefaultValues
	if defaultValues == nil {
		defaultValues = make([]types.Datum, len(innerTypes))
	}
	hasPrefixCol := false
	for _, l := range v.IdxColLens {
		if l != types.UnspecifiedLength {
			hasPrefixCol = true
			break
		}
	}
	e := &IndexLookUpJoin{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), outerExec),
		outerCtx: outerCtx{
			rowTypes: outerTypes,
			filter:   outerFilter,
		},
		innerCtx: innerCtx{
			readerBuilder: &dataReaderBuilder{Plan: innerPlan, executorBuilder: b},
			rowTypes:      innerTypes,
			colLens:       v.IdxColLens,
			hasPrefixCol:  hasPrefixCol,
		},
		workerWg:      new(sync.WaitGroup),
		isOuterJoin:   v.JoinType.IsOuterJoin(),
		indexRanges:   v.Ranges,
		keyOff2IdxOff: v.KeyOff2IdxOff,
		lastColHelper: v.CompareFilters,
	}
	childrenUsedSchema := markChildrenUsedCols(v.Schema(), v.Children()[0].Schema(), v.Children()[1].Schema())
	e.joiner = newJoiner(b.ctx, v.JoinType, v.InnerChildIdx == 0, defaultValues, v.OtherConditions, leftTypes, rightTypes, childrenUsedSchema)
	outerKeyCols := make([]int, len(v.OuterJoinKeys))
	for i := 0; i < len(v.OuterJoinKeys); i++ {
		outerKeyCols[i] = v.OuterJoinKeys[i].Index
	}
	innerKeyCols := make([]int, len(v.InnerJoinKeys))
	for i := 0; i < len(v.InnerJoinKeys); i++ {
		innerKeyCols[i] = v.InnerJoinKeys[i].Index
	}
	e.outerCtx.keyCols = outerKeyCols
	e.innerCtx.keyCols = innerKeyCols

	outerHashCols, innerHashCols := make([]int, len(v.OuterHashKeys)), make([]int, len(v.InnerHashKeys))
	for i := 0; i < len(v.OuterHashKeys); i++ {
		outerHashCols[i] = v.OuterHashKeys[i].Index
	}
	for i := 0; i < len(v.InnerHashKeys); i++ {
		innerHashCols[i] = v.InnerHashKeys[i].Index
	}
	e.outerCtx.hashCols = outerHashCols
	e.innerCtx.hashCols = innerHashCols

	e.joinResult = newFirstChunk(e)
	executorCounterIndexLookUpJoin.Inc()
	return e
}

func (b *executorBuilder) buildIndexLookUpMergeJoin(v *plannercore.PhysicalIndexMergeJoin) Executor {
	outerExec := b.build(v.Children()[1-v.InnerChildIdx])
	if b.err != nil {
		return nil
	}
	outerTypes := retTypes(outerExec)
	innerPlan := v.Children()[v.InnerChildIdx]
	innerTypes := make([]*types.FieldType, innerPlan.Schema().Len())
	for i, col := range innerPlan.Schema().Columns {
		innerTypes[i] = col.RetType.Clone()
		// The `innerTypes` would be called for `Datum.ConvertTo` when converting the columns from outer table
		// to build hash map or construct lookup keys. So we need to modify its Flen otherwise there would be
		// truncate error. See issue https://github.com/pingcap/tidb/issues/21232 for example.
		if innerTypes[i].EvalType() == types.ETString {
			innerTypes[i].Flen = types.UnspecifiedLength
		}
	}
	var (
		outerFilter           []expression.Expression
		leftTypes, rightTypes []*types.FieldType
	)
	if v.InnerChildIdx == 0 {
		leftTypes, rightTypes = innerTypes, outerTypes
		outerFilter = v.RightConditions
		if len(v.LeftConditions) > 0 {
			b.err = errors.Annotate(ErrBuildExecutor, "join's inner condition should be empty")
			return nil
		}
	} else {
		leftTypes, rightTypes = outerTypes, innerTypes
		outerFilter = v.LeftConditions
		if len(v.RightConditions) > 0 {
			b.err = errors.Annotate(ErrBuildExecutor, "join's inner condition should be empty")
			return nil
		}
	}
	defaultValues := v.DefaultValues
	if defaultValues == nil {
		defaultValues = make([]types.Datum, len(innerTypes))
	}
	outerKeyCols := make([]int, len(v.OuterJoinKeys))
	for i := 0; i < len(v.OuterJoinKeys); i++ {
		outerKeyCols[i] = v.OuterJoinKeys[i].Index
	}
	innerKeyCols := make([]int, len(v.InnerJoinKeys))
	for i := 0; i < len(v.InnerJoinKeys); i++ {
		innerKeyCols[i] = v.InnerJoinKeys[i].Index
	}
	executorCounterIndexLookUpJoin.Inc()

	e := &IndexLookUpMergeJoin{
		baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID(), outerExec),
		outerMergeCtx: outerMergeCtx{
			rowTypes:      outerTypes,
			filter:        outerFilter,
			joinKeys:      v.OuterJoinKeys,
			keyCols:       outerKeyCols,
			needOuterSort: v.NeedOuterSort,
			compareFuncs:  v.OuterCompareFuncs,
		},
		innerMergeCtx: innerMergeCtx{
			readerBuilder:           &dataReaderBuilder{Plan: innerPlan, executorBuilder: b},
			rowTypes:                innerTypes,
			joinKeys:                v.InnerJoinKeys,
			keyCols:                 innerKeyCols,
			compareFuncs:            v.CompareFuncs,
			colLens:                 v.IdxColLens,
			desc:                    v.Desc,
			keyOff2KeyOffOrderByIdx: v.KeyOff2KeyOffOrderByIdx,
		},
		workerWg:      new(sync.WaitGroup),
		isOuterJoin:   v.JoinType.IsOuterJoin(),
		indexRanges:   v.Ranges,
		keyOff2IdxOff: v.KeyOff2IdxOff,
		lastColHelper: v.CompareFilters,
	}
	childrenUsedSchema := markChildrenUsedCols(v.Schema(), v.Children()[0].Schema(), v.Children()[1].Schema())
	joiners := make([]joiner, e.ctx.GetSessionVars().IndexLookupJoinConcurrency)
	for i := 0; i < e.ctx.GetSessionVars().IndexLookupJoinConcurrency; i++ {
		joiners[i] = newJoiner(b.ctx, v.JoinType, v.InnerChildIdx == 0, defaultValues, v.OtherConditions, leftTypes, rightTypes, childrenUsedSchema)
	}
	e.joiners = joiners
	return e
}

func (b *executorBuilder) buildIndexNestedLoopHashJoin(v *plannercore.PhysicalIndexHashJoin) Executor {
	e := b.buildIndexLookUpJoin(&(v.PhysicalIndexJoin)).(*IndexLookUpJoin)
	idxHash := &IndexNestedLoopHashJoin{
		IndexLookUpJoin: *e,
		keepOuterOrder:  v.KeepOuterOrder,
	}
	concurrency := e.ctx.GetSessionVars().IndexLookupJoinConcurrency
	idxHash.joiners = make([]joiner, concurrency)
	for i := 0; i < concurrency; i++ {
		idxHash.joiners[i] = e.joiner.Clone()
	}
	return idxHash
}

// containsLimit tests if the execs contains Limit because we do not know whether `Limit` has consumed all of its' source,
// so the feedback may not be accurate.
func containsLimit(execs []*tipb.Executor) bool {
	for _, exec := range execs {
		if exec.Limit != nil {
			return true
		}
	}
	return false
}

func buildNoRangeTableReader(b *executorBuilder, v *plannercore.PhysicalTableReader) (*TableReaderExecutor, error) {
	tablePlans := v.TablePlans
	if v.StoreType == kv.TiFlash {
		tablePlans = []plannercore.PhysicalPlan{v.GetTablePlan()}
	}
	dagReq, streaming, err := b.constructDAGReq(tablePlans, v.StoreType)
	if err != nil {
		return nil, err
	}
	ts := v.GetTableScan()
	tbl, _ := b.is.TableByID(ts.Table.ID)
	isPartition, physicalTableID := ts.IsPartition()
	if isPartition {
		pt := tbl.(table.PartitionedTable)
		tbl = pt.GetPartition(physicalTableID)
	}
	startTS, err := b.getSnapshotTS()
	if err != nil {
		return nil, err
	}
	e := &TableReaderExecutor{
		baseExecutor:   newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		dagPB:          dagReq,
		startTS:        startTS,
		table:          tbl,
		keepOrder:      ts.KeepOrder,
		desc:           ts.Desc,
		columns:        ts.Columns,
		streaming:      streaming,
		corColInFilter: b.corColInDistPlan(v.TablePlans),
		corColInAccess: b.corColInAccess(v.TablePlans[0]),
		plans:          v.TablePlans,
		tablePlan:      v.GetTablePlan(),
		storeType:      v.StoreType,
		batchCop:       v.BatchCop,
	}
	if tbl.Meta().Partition != nil {
		e.extraPIDColumnIndex = extraPIDColumnIndex(v.Schema())
	}
	e.buildVirtualColumnInfo()
	if containsLimit(dagReq.Executors) {
		e.feedback = statistics.NewQueryFeedback(0, nil, 0, ts.Desc)
	} else {
		e.feedback = statistics.NewQueryFeedback(getPhysicalTableID(tbl), ts.Hist, int64(ts.StatsCount()), ts.Desc)
	}
	collect := statistics.CollectFeedback(b.ctx.GetSessionVars().StmtCtx, e.feedback, len(ts.Ranges))
	if !collect {
		e.feedback.Invalidate()
	}
	e.dagPB.CollectRangeCounts = &collect
	if v.StoreType == kv.TiDB && b.ctx.GetSessionVars().User != nil {
		// User info is used to do privilege check. It is only used in TiDB cluster memory table.
		e.dagPB.User = &tipb.UserIdentity{
			UserName: b.ctx.GetSessionVars().User.Username,
			UserHost: b.ctx.GetSessionVars().User.Hostname,
		}
	}

	for i := range v.Schema().Columns {
		dagReq.OutputOffsets = append(dagReq.OutputOffsets, uint32(i))
	}

	return e, nil
}

const modelExtraPidColID = -2

func extraPIDColumnIndex(schema *expression.Schema) offsetOptional {
	for idx, col := range schema.Columns {
		if col.ID == modelExtraPidColID {
			return newOffset(idx)
		}
	}
	return 0
}

// buildTableReader builds a table reader executor. It first build a no range table reader,
// and then update it ranges from table scan plan.
func (b *executorBuilder) buildTableReader(v *plannercore.PhysicalTableReader) *TableReaderExecutor {
	ret, err := buildNoRangeTableReader(b, v)
	if err != nil {
		b.err = err
		return nil
	}

	ts := v.GetTableScan()
	ret.ranges = ts.Ranges
	sctx := b.ctx.GetSessionVars().StmtCtx
	sctx.TableIDs = append(sctx.TableIDs, ts.Table.ID)
	return ret
}

func buildNoRangeIndexReader(b *executorBuilder, v *plannercore.PhysicalIndexReader) (*IndexReaderExecutor, error) {
	dagReq, streaming, err := b.constructDAGReq(v.IndexPlans, kv.TiKV)
	if err != nil {
		return nil, err
	}
	is := v.IndexPlans[0].(*plannercore.PhysicalIndexScan)
	tbl, _ := b.is.TableByID(is.Table.ID)
	isPartition, physicalTableID := is.IsPartition()
	if isPartition {
		pt := tbl.(table.PartitionedTable)
		tbl = pt.GetPartition(physicalTableID)
	} else {
		physicalTableID = is.Table.ID
	}
	startTS, err := b.getSnapshotTS()
	if err != nil {
		return nil, err
	}
	e := &IndexReaderExecutor{
		baseExecutor:    newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		dagPB:           dagReq,
		startTS:         startTS,
		physicalTableID: physicalTableID,
		table:           tbl,
		index:           is.Index,
		keepOrder:       is.KeepOrder,
		desc:            is.Desc,
		columns:         is.Columns,
		streaming:       streaming,
		corColInFilter:  b.corColInDistPlan(v.IndexPlans),
		corColInAccess:  b.corColInAccess(v.IndexPlans[0]),
		idxCols:         is.IdxCols,
		colLens:         is.IdxColLens,
		plans:           v.IndexPlans,
		outputColumns:   v.OutputColumns,
	}
	if containsLimit(dagReq.Executors) {
		e.feedback = statistics.NewQueryFeedback(0, nil, 0, is.Desc)
	} else {
		e.feedback = statistics.NewQueryFeedback(e.physicalTableID, is.Hist, int64(is.StatsCount()), is.Desc)
	}
	collect := statistics.CollectFeedback(b.ctx.GetSessionVars().StmtCtx, e.feedback, len(is.Ranges))
	if !collect {
		e.feedback.Invalidate()
	}
	e.dagPB.CollectRangeCounts = &collect

	for _, col := range v.OutputColumns {
		dagReq.OutputOffsets = append(dagReq.OutputOffsets, uint32(col.Index))
	}

	return e, nil
}

func (b *executorBuilder) buildIndexReader(v *plannercore.PhysicalIndexReader) *IndexReaderExecutor {
	ret, err := buildNoRangeIndexReader(b, v)
	if err != nil {
		b.err = err
		return nil
	}

	is := v.IndexPlans[0].(*plannercore.PhysicalIndexScan)
	ret.ranges = is.Ranges
	sctx := b.ctx.GetSessionVars().StmtCtx
	sctx.IndexNames = append(sctx.IndexNames, is.Table.Name.O+":"+is.Index.Name.O)
	return ret
}

func buildTableReq(b *executorBuilder, schemaLen int, plans []plannercore.PhysicalPlan) (dagReq *tipb.DAGRequest, streaming bool, val table.Table, err error) {
	tableReq, tableStreaming, err := b.constructDAGReq(plans, kv.TiKV)
	if err != nil {
		return nil, false, nil, err
	}
	for i := 0; i < schemaLen; i++ {
		tableReq.OutputOffsets = append(tableReq.OutputOffsets, uint32(i))
	}
	ts := plans[0].(*plannercore.PhysicalTableScan)
	tbl, _ := b.is.TableByID(ts.Table.ID)
	isPartition, physicalTableID := ts.IsPartition()
	if isPartition {
		pt := tbl.(table.PartitionedTable)
		tbl = pt.GetPartition(physicalTableID)
	}
	return tableReq, tableStreaming, tbl, err
}

func buildIndexReq(b *executorBuilder, schemaLen int, plans []plannercore.PhysicalPlan) (dagReq *tipb.DAGRequest, streaming bool, err error) {
	indexReq, indexStreaming, err := b.constructDAGReq(plans, kv.TiKV)
	if err != nil {
		return nil, false, err
	}
	indexReq.OutputOffsets = []uint32{uint32(schemaLen)}
	return indexReq, indexStreaming, err
}

func buildNoRangeIndexLookUpReader(b *executorBuilder, v *plannercore.PhysicalIndexLookUpReader) (*IndexLookUpExecutor, error) {
	is := v.IndexPlans[0].(*plannercore.PhysicalIndexScan)
	indexReq, indexStreaming, err := buildIndexReq(b, len(is.Index.Columns), v.IndexPlans)
	if err != nil {
		return nil, err
	}
	tableReq, tableStreaming, tbl, err := buildTableReq(b, v.Schema().Len(), v.TablePlans)
	if err != nil {
		return nil, err
	}
	ts := v.TablePlans[0].(*plannercore.PhysicalTableScan)
	startTS, err := b.getSnapshotTS()
	if err != nil {
		return nil, err
	}
	e := &IndexLookUpExecutor{
		baseExecutor:      newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		dagPB:             indexReq,
		startTS:           startTS,
		table:             tbl,
		index:             is.Index,
		keepOrder:         is.KeepOrder,
		desc:              is.Desc,
		tableRequest:      tableReq,
		columns:           ts.Columns,
		indexStreaming:    indexStreaming,
		tableStreaming:    tableStreaming,
		dataReaderBuilder: &dataReaderBuilder{executorBuilder: b},
		corColInIdxSide:   b.corColInDistPlan(v.IndexPlans),
		corColInTblSide:   b.corColInDistPlan(v.TablePlans),
		corColInAccess:    b.corColInAccess(v.IndexPlans[0]),
		idxCols:           is.IdxCols,
		colLens:           is.IdxColLens,
		idxPlans:          v.IndexPlans,
		tblPlans:          v.TablePlans,
		PushedLimit:       v.PushedLimit,
	}
	if ok, _ := ts.IsPartition(); ok {
		e.extraPIDColumnIndex = extraPIDColumnIndex(v.Schema())
	}

	if containsLimit(indexReq.Executors) {
		e.feedback = statistics.NewQueryFeedback(0, nil, 0, is.Desc)
	} else {
		e.feedback = statistics.NewQueryFeedback(getPhysicalTableID(tbl), is.Hist, int64(is.StatsCount()), is.Desc)
	}
	// Do not collect the feedback for table request.
	collectTable := false
	e.tableRequest.CollectRangeCounts = &collectTable
	collectIndex := statistics.CollectFeedback(b.ctx.GetSessionVars().StmtCtx, e.feedback, len(is.Ranges))
	if !collectIndex {
		e.feedback.Invalidate()
	}
	e.dagPB.CollectRangeCounts = &collectIndex
	if v.ExtraHandleCol != nil {
		e.handleIdx = v.ExtraHandleCol.Index
	}
	return e, nil
}

func (b *executorBuilder) buildIndexLookUpReader(v *plannercore.PhysicalIndexLookUpReader) *IndexLookUpExecutor {
	ret, err := buildNoRangeIndexLookUpReader(b, v)
	if err != nil {
		b.err = err
		return nil
	}

	is := v.IndexPlans[0].(*plannercore.PhysicalIndexScan)
	ts := v.TablePlans[0].(*plannercore.PhysicalTableScan)

	ret.ranges = is.Ranges
	executorCounterIndexLookUpExecutor.Inc()

	sctx := b.ctx.GetSessionVars().StmtCtx
	sctx.IndexNames = append(sctx.IndexNames, is.Table.Name.O+":"+is.Index.Name.O)
	sctx.TableIDs = append(sctx.TableIDs, ts.Table.ID)
	return ret
}

func buildNoRangeIndexMergeReader(b *executorBuilder, v *plannercore.PhysicalIndexMergeReader) (*IndexMergeReaderExecutor, error) {
	partialPlanCount := len(v.PartialPlans)
	partialReqs := make([]*tipb.DAGRequest, 0, partialPlanCount)
	partialStreamings := make([]bool, 0, partialPlanCount)
	indexes := make([]*model.IndexInfo, 0, partialPlanCount)
	keepOrders := make([]bool, 0, partialPlanCount)
	descs := make([]bool, 0, partialPlanCount)
	feedbacks := make([]*statistics.QueryFeedback, 0, partialPlanCount)
	ts := v.TablePlans[0].(*plannercore.PhysicalTableScan)
	for i := 0; i < partialPlanCount; i++ {
		var tempReq *tipb.DAGRequest
		var tempStreaming bool
		var err error

		feedback := statistics.NewQueryFeedback(0, nil, 0, ts.Desc)
		feedback.Invalidate()
		feedbacks = append(feedbacks, feedback)

		if is, ok := v.PartialPlans[i][0].(*plannercore.PhysicalIndexScan); ok {
			tempReq, tempStreaming, err = buildIndexReq(b, len(is.Index.Columns), v.PartialPlans[i])
			keepOrders = append(keepOrders, is.KeepOrder)
			descs = append(descs, is.Desc)
			indexes = append(indexes, is.Index)
		} else {
			ts := v.PartialPlans[i][0].(*plannercore.PhysicalTableScan)
			tempReq, tempStreaming, _, err = buildTableReq(b, len(ts.Columns), v.PartialPlans[i])
			keepOrders = append(keepOrders, ts.KeepOrder)
			descs = append(descs, ts.Desc)
			indexes = append(indexes, nil)
		}
		if err != nil {
			return nil, err
		}
		collect := false
		tempReq.CollectRangeCounts = &collect
		partialReqs = append(partialReqs, tempReq)
		partialStreamings = append(partialStreamings, tempStreaming)
	}
	tableReq, tableStreaming, table, err := buildTableReq(b, v.Schema().Len(), v.TablePlans)
	if err != nil {
		return nil, err
	}
	startTS, err := b.getSnapshotTS()
	if err != nil {
		return nil, err
	}
	e := &IndexMergeReaderExecutor{
		baseExecutor:      newBaseExecutor(b.ctx, v.Schema(), v.ID()),
		dagPBs:            partialReqs,
		startTS:           startTS,
		table:             table,
		indexes:           indexes,
		descs:             descs,
		tableRequest:      tableReq,
		columns:           ts.Columns,
		partialStreamings: partialStreamings,
		tableStreaming:    tableStreaming,
		partialPlans:      v.PartialPlans,
		tblPlans:          v.TablePlans,
		dataReaderBuilder: &dataReaderBuilder{executorBuilder: b},
		feedbacks:         feedbacks,
	}
	collectTable := false
	e.tableRequest.CollectRangeCounts = &collectTable
	if v.ExtraHandleCol != nil {
		e.extraHandleIdx = v.ExtraHandleCol.Index
	}
	return e, nil
}

func (b *executorBuilder) buildIndexMergeReader(v *plannercore.PhysicalIndexMergeReader) *IndexMergeReaderExecutor {
	ret, err := buildNoRangeIndexMergeReader(b, v)
	if err != nil {
		b.err = err
		return nil
	}
	ret.ranges = make([][]*ranger.Range, 0, len(v.PartialPlans))
	sctx := b.ctx.GetSessionVars().StmtCtx
	for i := 0; i < len(v.PartialPlans); i++ {
		if is, ok := v.PartialPlans[i][0].(*plannercore.PhysicalIndexScan); ok {
			ret.ranges = append(ret.ranges, is.Ranges)
			sctx.IndexNames = append(sctx.IndexNames, is.Table.Name.O+":"+is.Index.Name.O)
		} else {
			ret.ranges = append(ret.ranges, v.PartialPlans[i][0].(*plannercore.PhysicalTableScan).Ranges)
		}
	}
	ts := v.TablePlans[0].(*plannercore.PhysicalTableScan)
	sctx.TableIDs = append(sctx.TableIDs, ts.Table.ID)
	executorCounterIndexMergeReaderExecutor.Inc()
	return ret
}

// dataReaderBuilder build an executor.
// The executor can be used to read data in the ranges which are constructed by datums.
// Differences from executorBuilder:
// 1. dataReaderBuilder calculate data range from argument, rather than plan.
// 2. the result executor is already opened.
type dataReaderBuilder struct {
	plannercore.Plan
	*executorBuilder

	selectResultHook // for testing
}

type mockPhysicalIndexReader struct {
	plannercore.PhysicalPlan

	e Executor
}

func (builder *dataReaderBuilder) buildExecutorForIndexJoin(ctx context.Context, lookUpContents []*indexJoinLookUpContent,
	IndexRanges []*ranger.Range, keyOff2IdxOff []int, cwc *plannercore.ColWithCmpFuncManager, canReorderHandles bool) (Executor, error) {
	return builder.buildExecutorForIndexJoinInternal(ctx, builder.Plan, lookUpContents, IndexRanges, keyOff2IdxOff, cwc, canReorderHandles)
}

func (builder *dataReaderBuilder) buildExecutorForIndexJoinInternal(ctx context.Context, plan plannercore.Plan, lookUpContents []*indexJoinLookUpContent,
	IndexRanges []*ranger.Range, keyOff2IdxOff []int, cwc *plannercore.ColWithCmpFuncManager, canReorderHandles bool) (Executor, error) {
	switch v := plan.(type) {
	case *plannercore.PhysicalTableReader:
		return builder.buildTableReaderForIndexJoin(ctx, v, lookUpContents, canReorderHandles)
	case *plannercore.PhysicalIndexReader:
		return builder.buildIndexReaderForIndexJoin(ctx, v, lookUpContents, IndexRanges, keyOff2IdxOff, cwc)
	case *plannercore.PhysicalIndexLookUpReader:
		return builder.buildIndexLookUpReaderForIndexJoin(ctx, v, lookUpContents, IndexRanges, keyOff2IdxOff, cwc)
	case *plannercore.PhysicalUnionScan:
		return builder.buildUnionScanForIndexJoin(ctx, v, lookUpContents, IndexRanges, keyOff2IdxOff, cwc)
	// The inner child of IndexJoin might be Projection when a combination of the following conditions is true:
	// 	1. The inner child fetch data using indexLookupReader
	// 	2. PK is not handle
	// 	3. The inner child needs to keep order
	// In this case, an extra column tidb_rowid will be appended in the output result of IndexLookupReader(see copTask.doubleReadNeedProj).
	// Then we need a Projection upon IndexLookupReader to prune the redundant column.
	case *plannercore.PhysicalProjection:
		return builder.buildProjectionForIndexJoin(ctx, v, lookUpContents, IndexRanges, keyOff2IdxOff, cwc)
	// Need to support physical selection because after PR 16389, TiDB will push down all the expr supported by TiKV or TiFlash
	// in predicate push down stage, so if there is an expr which only supported by TiFlash, a physical selection will be added after index read
	case *plannercore.PhysicalSelection:
		childExec, err := builder.buildExecutorForIndexJoinInternal(ctx, v.Children()[0], lookUpContents, IndexRanges, keyOff2IdxOff, cwc, canReorderHandles)
		if err != nil {
			return nil, err
		}
		exec := &SelectionExec{
			baseExecutor: newBaseExecutor(builder.ctx, v.Schema(), v.ID(), childExec),
			filters:      v.Conditions,
		}
		err = exec.open(ctx)
		return exec, err
	case *mockPhysicalIndexReader:
		return v.e, nil
	}
	return nil, errors.New("Wrong plan type for dataReaderBuilder")
}

func (builder *dataReaderBuilder) buildUnionScanForIndexJoin(ctx context.Context, v *plannercore.PhysicalUnionScan,
	values []*indexJoinLookUpContent, indexRanges []*ranger.Range, keyOff2IdxOff []int, cwc *plannercore.ColWithCmpFuncManager) (Executor, error) {
	childBuilder := &dataReaderBuilder{Plan: v.Children()[0], executorBuilder: builder.executorBuilder}
	reader, err := childBuilder.buildExecutorForIndexJoin(ctx, values, indexRanges, keyOff2IdxOff, cwc, true)
	if err != nil {
		return nil, err
	}
	us := builder.buildUnionScanFromReader(reader, v).(*UnionScanExec)
	err = us.open(ctx)
	return us, err
}

func (builder *dataReaderBuilder) buildTableReaderForIndexJoin(ctx context.Context, v *plannercore.PhysicalTableReader, lookUpContents []*indexJoinLookUpContent, canReorderHandles bool) (Executor, error) {
	e, err := buildNoRangeTableReader(builder.executorBuilder, v)
	if err != nil {
		return nil, err
	}
	handles := make([]int64, 0, len(lookUpContents))
	var isValidHandle bool
	for _, content := range lookUpContents {
		handle := content.keys[0].GetInt64()
		isValidHandle = true
		for _, key := range content.keys {
			if handle != key.GetInt64() {
				isValidHandle = false
				break
			}
		}
		if isValidHandle {
			handles = append(handles, handle)
		}
	}
	return builder.buildTableReaderFromHandles(ctx, e, handles, canReorderHandles)
}

func (builder *dataReaderBuilder) buildTableReaderFromHandles(ctx context.Context, e *TableReaderExecutor, handles []int64, canReorderHandles bool) (Executor, error) {
	startTS, err := builder.getSnapshotTS()
	if err != nil {
		return nil, err
	}

	if canReorderHandles {
		sort.Sort(sortutil.Int64Slice(handles))
	}
	var b distsql.RequestBuilder
	kvReq, err := b.SetTableHandles(getPhysicalTableID(e.table), handles).
		SetDAGRequest(e.dagPB).
		SetStartTS(startTS).
		SetDesc(e.desc).
		SetKeepOrder(e.keepOrder).
		SetStreaming(e.streaming).
		SetFromSessionVars(e.ctx.GetSessionVars()).
		Build()
	if err != nil {
		return nil, err
	}
	e.kvRanges = append(e.kvRanges, kvReq.KeyRanges...)
	e.resultHandler = &tableResultHandler{}
	result, err := builder.SelectResult(ctx, builder.ctx, kvReq, retTypes(e), e.feedback, getPhysicalPlanIDs(e.plans), e.id)
	if err != nil {
		return nil, err
	}
	result.Fetch(ctx)
	e.resultHandler.open(nil, result)
	return e, nil
}

func (builder *dataReaderBuilder) buildIndexReaderForIndexJoin(ctx context.Context, v *plannercore.PhysicalIndexReader,
	lookUpContents []*indexJoinLookUpContent, indexRanges []*ranger.Range, keyOff2IdxOff []int, cwc *plannercore.ColWithCmpFuncManager) (Executor, error) {
	e, err := buildNoRangeIndexReader(builder.executorBuilder, v)
	if err != nil {
		return nil, err
	}
	kvRanges, err := buildKvRangesForIndexJoin(e.ctx, e.physicalTableID, e.index.ID, lookUpContents, indexRanges, keyOff2IdxOff, cwc)
	if err != nil {
		return nil, err
	}
	err = e.open(ctx, kvRanges)
	return e, err
}

func (builder *dataReaderBuilder) buildIndexLookUpReaderForIndexJoin(ctx context.Context, v *plannercore.PhysicalIndexLookUpReader,
	lookUpContents []*indexJoinLookUpContent, indexRanges []*ranger.Range, keyOff2IdxOff []int, cwc *plannercore.ColWithCmpFuncManager) (Executor, error) {
	e, err := buildNoRangeIndexLookUpReader(builder.executorBuilder, v)
	if err != nil {
		return nil, err
	}
	e.kvRanges, err = buildKvRangesForIndexJoin(e.ctx, getPhysicalTableID(e.table), e.index.ID, lookUpContents, indexRanges, keyOff2IdxOff, cwc)
	if err != nil {
		return nil, err
	}
	err = e.open(ctx)
	return e, err
}

func (builder *dataReaderBuilder) buildProjectionForIndexJoin(ctx context.Context, v *plannercore.PhysicalProjection,
	lookUpContents []*indexJoinLookUpContent, indexRanges []*ranger.Range, keyOff2IdxOff []int, cwc *plannercore.ColWithCmpFuncManager) (Executor, error) {
	physicalIndexLookUp, isDoubleRead := v.Children()[0].(*plannercore.PhysicalIndexLookUpReader)
	if !isDoubleRead {
		return nil, errors.Errorf("inner child of Projection should be IndexLookupReader, but got %T", v)
	}
	childExec, err := builder.buildIndexLookUpReaderForIndexJoin(ctx, physicalIndexLookUp, lookUpContents, indexRanges, keyOff2IdxOff, cwc)
	if err != nil {
		return nil, err
	}

	e := &ProjectionExec{
		baseExecutor:     newBaseExecutor(builder.ctx, v.Schema(), v.ID(), childExec),
		numWorkers:       builder.ctx.GetSessionVars().ProjectionConcurrency,
		evaluatorSuit:    expression.NewEvaluatorSuite(v.Exprs, v.AvoidColumnEvaluator),
		calculateNoDelay: v.CalculateNoDelay,
	}

	// If the calculation row count for this Projection operator is smaller
	// than a Chunk size, we turn back to the un-parallel Projection
	// implementation to reduce the goroutine overhead.
	if int64(v.StatsCount()) < int64(builder.ctx.GetSessionVars().MaxChunkSize) {
		e.numWorkers = 0
	}
	err = e.open(ctx)

	return e, err
}

// buildKvRangesForIndexJoin builds kv ranges for index join when the inner plan is index scan plan.
func buildKvRangesForIndexJoin(ctx sessionctx.Context, tableID, indexID int64, lookUpContents []*indexJoinLookUpContent,
	ranges []*ranger.Range, keyOff2IdxOff []int, cwc *plannercore.ColWithCmpFuncManager) (_ []kv.KeyRange, err error) {
	kvRanges := make([]kv.KeyRange, 0, len(ranges)*len(lookUpContents))
	lastPos := len(ranges[0].LowVal) - 1
	sc := ctx.GetSessionVars().StmtCtx
	tmpDatumRanges := make([]*ranger.Range, 0, len(lookUpContents))
	for _, content := range lookUpContents {
		for _, ran := range ranges {
			for keyOff, idxOff := range keyOff2IdxOff {
				ran.LowVal[idxOff] = content.keys[keyOff]
				ran.HighVal[idxOff] = content.keys[keyOff]
			}
		}
		if cwc == nil {
			tmpKvRanges, err := distsql.IndexRangesToKVRanges(sc, tableID, indexID, ranges, nil)
			if err != nil {
				return nil, err
			}
			kvRanges = append(kvRanges, tmpKvRanges...)
			continue
		}
		nextColRanges, err := cwc.BuildRangesByRow(ctx, content.row)
		if err != nil {
			return nil, err
		}
		for _, nextColRan := range nextColRanges {
			for _, ran := range ranges {
				ran.LowVal[lastPos] = nextColRan.LowVal[0]
				ran.HighVal[lastPos] = nextColRan.HighVal[0]
				ran.LowExclude = nextColRan.LowExclude
				ran.HighExclude = nextColRan.HighExclude
				tmpDatumRanges = append(tmpDatumRanges, ran.Clone())
			}
		}
	}

	if cwc == nil {
		sort.Slice(kvRanges, func(i, j int) bool {
			return bytes.Compare(kvRanges[i].StartKey, kvRanges[j].StartKey) < 0
		})
		return kvRanges, nil
	}

	tmpDatumRanges, err = ranger.UnionRanges(ctx.GetSessionVars().StmtCtx, tmpDatumRanges)
	if err != nil {
		return nil, err
	}
	return distsql.IndexRangesToKVRanges(ctx.GetSessionVars().StmtCtx, tableID, indexID, tmpDatumRanges, nil)
}

func (b *executorBuilder) buildWindow(v *plannercore.PhysicalWindow) *WindowExec {
	childExec := b.build(v.Children()[0])
	if b.err != nil {
		return nil
	}
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID(), childExec)
	groupByItems := make([]expression.Expression, 0, len(v.PartitionBy))
	for _, item := range v.PartitionBy {
		groupByItems = append(groupByItems, item.Col)
	}
	orderByCols := make([]*expression.Column, 0, len(v.OrderBy))
	for _, item := range v.OrderBy {
		orderByCols = append(orderByCols, item.Col)
	}
	windowFuncs := make([]aggfuncs.AggFunc, 0, len(v.WindowFuncDescs))
	partialResults := make([]aggfuncs.PartialResult, 0, len(v.WindowFuncDescs))
	resultColIdx := v.Schema().Len() - len(v.WindowFuncDescs)
	for _, desc := range v.WindowFuncDescs {
		aggDesc, err := aggregation.NewAggFuncDesc(b.ctx, desc.Name, desc.Args, false)
		if err != nil {
			b.err = err
			return nil
		}
		agg := aggfuncs.BuildWindowFunctions(b.ctx, aggDesc, resultColIdx, orderByCols)
		windowFuncs = append(windowFuncs, agg)
		partialResults = append(partialResults, agg.AllocPartialResult())
		resultColIdx++
	}
	var processor windowProcessor
	if v.Frame == nil {
		processor = &aggWindowProcessor{
			windowFuncs:    windowFuncs,
			partialResults: partialResults,
		}
	} else if v.Frame.Type == ast.Rows {
		processor = &rowFrameWindowProcessor{
			windowFuncs:    windowFuncs,
			partialResults: partialResults,
			start:          v.Frame.Start,
			end:            v.Frame.End,
		}
	} else {
		cmpResult := int64(-1)
		if len(v.OrderBy) > 0 && v.OrderBy[0].Desc {
			cmpResult = 1
		}
		processor = &rangeFrameWindowProcessor{
			windowFuncs:       windowFuncs,
			partialResults:    partialResults,
			start:             v.Frame.Start,
			end:               v.Frame.End,
			orderByCols:       orderByCols,
			expectedCmpResult: cmpResult,
		}
	}
	return &WindowExec{baseExecutor: base,
		processor:      processor,
		groupChecker:   newVecGroupChecker(b.ctx, groupByItems),
		numWindowFuncs: len(v.WindowFuncDescs),
	}
}

func (b *executorBuilder) buildShuffle(v *plannercore.PhysicalShuffle) *ShuffleExec {
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID())
	shuffle := &ShuffleExec{baseExecutor: base,
		concurrency: v.Concurrency,
	}

	switch v.SplitterType {
	case plannercore.PartitionHashSplitterType:
		shuffle.splitter = &partitionHashSplitter{
			byItems:    v.HashByItems,
			numWorkers: shuffle.concurrency,
		}
	default:
		panic("Not implemented. Should not reach here.")
	}

	shuffle.dataSource = b.build(v.DataSource)
	if b.err != nil {
		return nil
	}

	// head & tail of physical plans' chain within "partition".
	var head, tail plannercore.PhysicalPlan = v.Children()[0], v.Tail

	shuffle.workers = make([]*shuffleWorker, shuffle.concurrency)
	for i := range shuffle.workers {
		w := &shuffleWorker{
			baseExecutor: newBaseExecutor(b.ctx, v.DataSource.Schema(), v.DataSource.ID()),
		}

		stub := plannercore.PhysicalShuffleDataSourceStub{
			Worker: (unsafe.Pointer)(w),
		}.Init(b.ctx, v.DataSource.Stats(), v.DataSource.SelectBlockOffset(), nil)
		stub.SetSchema(v.DataSource.Schema())

		tail.SetChildren(stub)
		w.childExec = b.build(head)
		if b.err != nil {
			return nil
		}

		shuffle.workers[i] = w
	}

	return shuffle
}

func (b *executorBuilder) buildShuffleDataSourceStub(v *plannercore.PhysicalShuffleDataSourceStub) *shuffleWorker {
	return (*shuffleWorker)(v.Worker)
}

func (b *executorBuilder) buildSQLBindExec(v *plannercore.SQLBindPlan) Executor {
	base := newBaseExecutor(b.ctx, v.Schema(), v.ID())
	base.initCap = chunk.ZeroCapacity

	e := &SQLBindExec{
		baseExecutor: base,
		sqlBindOp:    v.SQLBindOp,
		normdOrigSQL: v.NormdOrigSQL,
		bindSQL:      v.BindSQL,
		charset:      v.Charset,
		collation:    v.Collation,
		db:           v.Db,
		isGlobal:     v.IsGlobal,
		bindAst:      v.BindStmt,
	}
	return e
}

// NewRowDecoder creates a chunk decoder for new row format row value decode.
func NewRowDecoder(ctx sessionctx.Context, schema *expression.Schema, tbl *model.TableInfo) *rowcodec.ChunkDecoder {
	getColInfoByID := func(tbl *model.TableInfo, colID int64) *model.ColumnInfo {
		for _, col := range tbl.Columns {
			if col.ID == colID {
				return col
			}
		}
		return nil
	}
	handleColID := int64(-1)
	reqCols := make([]rowcodec.ColInfo, len(schema.Columns))
	for i := range schema.Columns {
		idx, col := i, schema.Columns[i]
		isPK := (tbl.PKIsHandle && mysql.HasPriKeyFlag(col.RetType.Flag)) || col.ID == model.ExtraHandleID
		if isPK {
			handleColID = col.ID
		}
		isGeneratedCol := false
		if col.VirtualExpr != nil {
			isGeneratedCol = true
		}
		reqCols[idx] = rowcodec.ColInfo{
			ID:            col.ID,
			Tp:            int32(col.RetType.Tp),
			Flag:          int32(col.RetType.Flag),
			Flen:          col.RetType.Flen,
			Decimal:       col.RetType.Decimal,
			Elems:         col.RetType.Elems,
			Collate:       col.GetType().Collate,
			VirtualGenCol: isGeneratedCol,
		}
	}
	defVal := func(i int, chk *chunk.Chunk) error {
		ci := getColInfoByID(tbl, reqCols[i].ID)
		d, err := table.GetColOriginDefaultValue(ctx, ci)
		if err != nil {
			return err
		}
		chk.AppendDatum(i, &d)
		return nil
	}
	return rowcodec.NewChunkDecoder(reqCols, handleColID, defVal, ctx.GetSessionVars().TimeZone)
}

func (b *executorBuilder) buildBatchPointGet(plan *plannercore.BatchPointGetPlan) Executor {
	startTS, err := b.getSnapshotTS()
	if err != nil {
		b.err = err
		return nil
	}
	decoder := NewRowDecoder(b.ctx, plan.Schema(), plan.TblInfo)
	e := &BatchPointGetExec{
		baseExecutor: newBaseExecutor(b.ctx, plan.Schema(), plan.ID()),
		tblInfo:      plan.TblInfo,
		idxInfo:      plan.IndexInfo,
		rowDecoder:   decoder,
		startTS:      startTS,
		keepOrder:    plan.KeepOrder,
		desc:         plan.Desc,
		lock:         plan.Lock,
		waitTime:     plan.LockWaitTime,
		partPos:      plan.PartitionColPos,
		columns:      plan.Columns,
	}
	if e.lock {
		b.hasLock = true
	}
	var capacity int
	if plan.IndexInfo != nil {
		e.idxVals = plan.IndexValues
		capacity = len(e.idxVals)
	} else {
		// `SELECT a FROM t WHERE a IN (1, 1, 2, 1, 2)` should not return duplicated rows
		handles := make([]int64, 0, len(plan.Handles))
		dedup := make(map[int64]struct{}, len(plan.Handles))
		for _, handle := range plan.Handles {
			if _, found := dedup[handle]; found {
				continue
			}
			dedup[handle] = struct{}{}
			handles = append(handles, handle)
		}
		e.handles = handles
		capacity = len(e.handles)
	}
	e.base().initCap = capacity
	e.base().maxChunkSize = capacity
	e.buildVirtualColumnInfo()
	return e
}

func getPhysicalTableID(t table.Table) int64 {
	if p, ok := t.(table.PhysicalTable); ok {
		return p.GetPhysicalID()
	}
	return t.Meta().ID
}

func (b *executorBuilder) buildAdminShowTelemetry(v *plannercore.AdminShowTelemetry) Executor {
	return &AdminShowTelemetryExec{baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID())}
}

func (b *executorBuilder) buildAdminResetTelemetryID(v *plannercore.AdminResetTelemetryID) Executor {
	return &AdminResetTelemetryIDExec{baseExecutor: newBaseExecutor(b.ctx, v.Schema(), v.ID())}
}