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distsql.go
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distsql.go
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// Copyright 2016 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 (
"fmt"
"math"
"sort"
"sync/atomic"
"time"
log "github.com/Sirupsen/logrus"
"github.com/juju/errors"
"github.com/pingcap/tidb/ast"
"github.com/pingcap/tidb/context"
"github.com/pingcap/tidb/distsql"
"github.com/pingcap/tidb/distsql/xeval"
"github.com/pingcap/tidb/expression"
"github.com/pingcap/tidb/kv"
"github.com/pingcap/tidb/model"
"github.com/pingcap/tidb/mysql"
"github.com/pingcap/tidb/sessionctx/variable"
"github.com/pingcap/tidb/table"
"github.com/pingcap/tidb/tablecodec"
"github.com/pingcap/tidb/terror"
"github.com/pingcap/tidb/util/codec"
"github.com/pingcap/tidb/util/goroutine_pool"
"github.com/pingcap/tidb/util/types"
"github.com/pingcap/tipb/go-tipb"
goctx "golang.org/x/net/context"
)
const (
minLogDuration = 50 * time.Millisecond
)
var xIndexSelectGP = gp.New(3 * time.Minute)
// LookupTableTaskChannelSize represents the channel size of the index double read taskChan.
var LookupTableTaskChannelSize int32 = 50
// lookupTableTask is created from a partial result of an index request which
// contains the handles in those index keys.
type lookupTableTask struct {
handles []int64
rows []Row
cursor int
done bool
doneCh chan error
// indexOrder map is used to save the original index order for the handles.
// Without this map, the original index order might be lost.
// The handles fetched from index is originally ordered by index, but we need handles to be ordered by itself
// to do table request.
indexOrder map[int64]int
}
func (task *lookupTableTask) getRow() (Row, error) {
if !task.done {
err := <-task.doneCh
if err != nil {
return nil, errors.Trace(err)
}
task.done = true
}
if task.cursor < len(task.rows) {
row := task.rows[task.cursor]
task.cursor++
return row, nil
}
return nil, nil
}
// rowsSorter sorts the rows by its index order.
type rowsSorter struct {
order map[int64]int
rows []Row
handleIdx int
}
func (s *rowsSorter) Less(i, j int) bool {
x := s.order[s.rows[i][s.handleIdx].GetInt64()]
y := s.order[s.rows[j][s.handleIdx].GetInt64()]
return x < y
}
func (s *rowsSorter) Len() int {
return len(s.rows)
}
func (s *rowsSorter) Swap(i, j int) {
s.rows[i], s.rows[j] = s.rows[j], s.rows[i]
}
func tableRangesToKVRanges(tid int64, tableRanges []types.IntColumnRange) []kv.KeyRange {
krs := make([]kv.KeyRange, 0, len(tableRanges))
for _, tableRange := range tableRanges {
startKey := tablecodec.EncodeRowKeyWithHandle(tid, tableRange.LowVal)
var endKey kv.Key
if tableRange.HighVal != math.MaxInt64 {
endKey = tablecodec.EncodeRowKeyWithHandle(tid, tableRange.HighVal+1)
} else {
endKey = tablecodec.EncodeRowKeyWithHandle(tid, tableRange.HighVal).Next()
}
krs = append(krs, kv.KeyRange{StartKey: startKey, EndKey: endKey})
}
return krs
}
/*
* Convert sorted handle to kv ranges.
* For continuous handles, we should merge them to a single key range.
*/
func tableHandlesToKVRanges(tid int64, handles []int64) []kv.KeyRange {
krs := make([]kv.KeyRange, 0, len(handles))
i := 0
for i < len(handles) {
h := handles[i]
if h == math.MaxInt64 {
// We can't convert MaxInt64 into an left closed, right open range.
i++
continue
}
j := i + 1
endHandle := h + 1
for ; j < len(handles); j++ {
if handles[j] == endHandle {
endHandle = handles[j] + 1
continue
}
break
}
startKey := tablecodec.EncodeRowKeyWithHandle(tid, h)
endKey := tablecodec.EncodeRowKeyWithHandle(tid, endHandle)
krs = append(krs, kv.KeyRange{StartKey: startKey, EndKey: endKey})
i = j
}
return krs
}
// indexValuesToKVRanges will convert the index datums to kv ranges.
func indexValuesToKVRanges(tid, idxID int64, values [][]types.Datum) ([]kv.KeyRange, error) {
krs := make([]kv.KeyRange, 0, len(values))
for _, vals := range values {
// TODO: We don't process the case that equal key has different types.
valKey, err := codec.EncodeKey(nil, vals...)
if err != nil {
return nil, errors.Trace(err)
}
valKeyNext := []byte(kv.Key(valKey).PrefixNext())
rangeBeginKey := tablecodec.EncodeIndexSeekKey(tid, idxID, valKey)
rangeEndKey := tablecodec.EncodeIndexSeekKey(tid, idxID, valKeyNext)
krs = append(krs, kv.KeyRange{StartKey: rangeBeginKey, EndKey: rangeEndKey})
}
return krs, nil
}
func indexRangesToKVRanges(sc *variable.StatementContext, tid, idxID int64, ranges []*types.IndexRange, fieldTypes []*types.FieldType) ([]kv.KeyRange, error) {
krs := make([]kv.KeyRange, 0, len(ranges))
for _, ran := range ranges {
err := convertIndexRangeTypes(sc, ran, fieldTypes)
if err != nil {
return nil, errors.Trace(err)
}
low, err := codec.EncodeKey(nil, ran.LowVal...)
if err != nil {
return nil, errors.Trace(err)
}
if ran.LowExclude {
low = []byte(kv.Key(low).PrefixNext())
}
high, err := codec.EncodeKey(nil, ran.HighVal...)
if err != nil {
return nil, errors.Trace(err)
}
if !ran.HighExclude {
high = []byte(kv.Key(high).PrefixNext())
}
startKey := tablecodec.EncodeIndexSeekKey(tid, idxID, low)
endKey := tablecodec.EncodeIndexSeekKey(tid, idxID, high)
krs = append(krs, kv.KeyRange{StartKey: startKey, EndKey: endKey})
}
return krs, nil
}
func convertIndexRangeTypes(sc *variable.StatementContext, ran *types.IndexRange, fieldTypes []*types.FieldType) error {
for i := range ran.LowVal {
if ran.LowVal[i].Kind() == types.KindMinNotNull || ran.LowVal[i].Kind() == types.KindMaxValue {
continue
}
converted, err := ran.LowVal[i].ConvertTo(sc, fieldTypes[i])
if err != nil {
return errors.Trace(err)
}
cmp, err := converted.CompareDatum(sc, &ran.LowVal[i])
if err != nil {
return errors.Trace(err)
}
ran.LowVal[i] = converted
if cmp == 0 {
continue
}
if cmp < 0 && !ran.LowExclude {
// For int column a, a >= 1.1 is converted to a > 1.
ran.LowExclude = true
} else if cmp > 0 && ran.LowExclude {
// For int column a, a > 1.9 is converted to a >= 2.
ran.LowExclude = false
}
// The converted value has changed, the other column values doesn't matter.
// For equal condition, converted value changed means there will be no match.
// For non equal condition, this column would be the last one to build the range.
// Break here to prevent the rest columns modify LowExclude again.
break
}
for i := range ran.HighVal {
if ran.HighVal[i].Kind() == types.KindMaxValue || ran.LowVal[i].Kind() == types.KindNull {
continue
}
converted, err := ran.HighVal[i].ConvertTo(sc, fieldTypes[i])
if err != nil {
return errors.Trace(err)
}
cmp, err := converted.CompareDatum(sc, &ran.HighVal[i])
if err != nil {
return errors.Trace(err)
}
ran.HighVal[i] = converted
if cmp == 0 {
continue
}
// For int column a, a < 1.1 is converted to a <= 1.
if cmp < 0 && ran.HighExclude {
ran.HighExclude = false
}
// For int column a, a <= 1.9 is converted to a < 2.
if cmp > 0 && !ran.HighExclude {
ran.HighExclude = true
}
break
}
return nil
}
// extractHandlesFromIndexResult gets some handles from SelectResult.
// It should be called in a loop until finished or error happened.
func extractHandlesFromIndexResult(idxResult distsql.SelectResult) (handles []int64, finish bool, err error) {
subResult, e0 := idxResult.Next()
if e0 != nil {
err = errors.Trace(e0)
return
}
if subResult == nil {
finish = true
return
}
handles, err = extractHandlesFromIndexSubResult(subResult)
if err != nil {
err = errors.Trace(err)
}
return
}
func extractHandlesFromIndexSubResult(subResult distsql.PartialResult) ([]int64, error) {
defer terror.Call(subResult.Close)
var handles []int64
for {
h, data, err := subResult.Next()
if err != nil {
return nil, errors.Trace(err)
}
if data == nil {
break
}
handles = append(handles, h)
}
return handles, nil
}
func extractHandlesFromNewIndexResult(idxResult distsql.NewSelectResult) (handles []int64, finish bool, err error) {
subResult, e0 := idxResult.Next()
if e0 != nil {
err = errors.Trace(e0)
return
}
if subResult == nil {
finish = true
return
}
handles, err = extractHandlesFromNewIndexSubResult(subResult)
if err != nil {
err = errors.Trace(err)
}
return
}
func extractHandlesFromNewIndexSubResult(subResult distsql.NewPartialResult) ([]int64, error) {
defer terror.Call(subResult.Close)
var (
handles []int64
handleDatum types.Datum
)
handleType := types.NewFieldType(mysql.TypeLonglong)
for {
data, err := subResult.Next()
if err != nil {
return nil, errors.Trace(err)
}
if data == nil {
break
}
handleDatum, err = tablecodec.DecodeColumnValue(data[0].GetRaw(), handleType, nil)
if err != nil {
return nil, errors.Trace(err)
}
handles = append(handles, handleDatum.GetInt64())
}
return handles, nil
}
type int64Slice []int64
func (p int64Slice) Len() int { return len(p) }
func (p int64Slice) Less(i, j int) bool { return p[i] < p[j] }
func (p int64Slice) Swap(i, j int) { p[i], p[j] = p[j], p[i] }
// Closeable is a interface for closeable structures.
type Closeable interface {
// Close closes the object.
Close() error
}
// closeAll closes all objects even if an object returns an error.
// If multiple objects returns error, the first error will be returned.
func closeAll(objs ...Closeable) error {
var err error
for _, obj := range objs {
if obj != nil {
err1 := obj.Close()
if err == nil && err1 != nil {
err = err1
}
}
}
return errors.Trace(err)
}
// XSelectIndexExec represents the DistSQL select index executor.
// There are two execution modes. One is single-read, in which case we only need to read index keys.
// The other one is double-read, in which case we first do index request to get handles, we use each
// partial result to build a lookupTableTask.
//
// Each lookupTableTask works like XSelectTableExec. It sorts the handles, sends an *tipb.SelectRequest, then
// gets distsql.SelectResult which returns multiple distsql.PartialResults, we fetch all the rows from
// each distsql.PartialResult, then sort the rows by the original index order.
//
// So there might be many tasks built from index request, each task do its own table request.
// If we do it one by one, the execution might be very slow.
//
// To speed up the execution, index request or table request is done concurrently. The concurrency is controlled
// by kv.Client, we only need to pass the concurrency parameter.
//
// We also make a higher level of concurrency by doing index request in a background goroutine. The index goroutine
// starts multiple worker goroutines and fetches handles from each index partial request, builds lookup table tasks
// and sends the task to 'workerCh'.
//
// Each worker goroutine receives tasks through the 'workerCh', then executes the task.
// After finishing the task, the workers send the task to a taskChan. At the outer most Executor.Next method,
// we receive the finished task through taskChan, and return each row in that task until no more tasks to receive.
type XSelectIndexExec struct {
tableInfo *model.TableInfo
table table.Table
ctx context.Context
supportDesc bool
isMemDB bool
singleReadMode bool
// Variables only used for single read.
result distsql.SelectResult
partialResult distsql.PartialResult
idxColsSchema *expression.Schema
// Variables only used for double read.
taskChan chan *lookupTableTask
tasksErr error // not nil if tasks closed due to error.
taskCurr *lookupTableTask
handleCount uint64 // returned handle count in double read.
closeCh chan struct{}
where *tipb.Expr
startTS uint64
returnedRows uint64 // returned row count
schema *expression.Schema
ranges []*types.IndexRange
limitCount *int64
sortItemsPB []*tipb.ByItem
columns []*model.ColumnInfo
index *model.IndexInfo
desc bool
outOfOrder bool
indexConditionPBExpr *tipb.Expr
// This is the column that represent the handle, we can use handleCol.Index to know its position.
handleCol *expression.Column
/*
The following attributes are used for aggregation push down.
aggFuncs is the aggregation functions in protobuf format. They will be added to distsql request msg.
byItem is the groupby items in protobuf format. They will be added to distsql request msg.
aggregate indicates of the executor is handling aggregate result.
It is more convenient to use a single variable than use a long condition.
*/
aggFuncs []*tipb.Expr
byItems []*tipb.ByItem
aggregate bool
scanConcurrency int
execStart time.Time
partialCount int
priority int
}
// Open implements the Executor Open interface.
func (e *XSelectIndexExec) Open() error {
e.returnedRows = 0
e.partialCount = 0
e.closeCh = make(chan struct{})
return nil
}
// Schema implements Exec Schema interface.
func (e *XSelectIndexExec) Schema() *expression.Schema {
return e.schema
}
// Close implements Exec Close interface.
func (e *XSelectIndexExec) Close() error {
err := closeAll(e.result, e.partialResult)
e.result = nil
e.partialResult = nil
e.taskCurr = nil
if e.taskChan != nil {
close(e.closeCh)
// Consume the task channel in case channel is full.
for range e.taskChan {
}
e.taskChan = nil
}
return errors.Trace(err)
}
// Next implements the Executor Next interface.
func (e *XSelectIndexExec) Next() (Row, error) {
if e.limitCount != nil && len(e.sortItemsPB) == 0 && e.returnedRows >= uint64(*e.limitCount) {
return nil, nil
}
e.returnedRows++
if e.singleReadMode {
return e.nextForSingleRead()
}
return e.nextForDoubleRead()
}
func (e *XSelectIndexExec) nextForSingleRead() (Row, error) {
if e.result == nil {
e.execStart = time.Now()
var err error
e.result, err = e.doIndexRequest()
if err != nil {
return nil, errors.Trace(err)
}
e.result.Fetch(e.ctx.GoCtx())
}
for {
// Get partial result.
if e.partialResult == nil {
var err error
e.partialResult, err = e.result.Next()
if err != nil {
return nil, errors.Trace(err)
}
if e.partialResult == nil {
// Finished.
duration := time.Since(e.execStart)
if duration > minLogDuration {
connID := e.ctx.GetSessionVars().ConnectionID
log.Infof("[%d] [TIME_INDEX_SINGLE] %s", connID, e.slowQueryInfo(duration))
}
return nil, nil
}
e.partialCount++
}
// Get a row from partial result.
h, rowData, err := e.partialResult.Next()
if err != nil {
return nil, errors.Trace(err)
}
if rowData == nil {
// Finish current partial result and get the next one.
terror.Log(errors.Trace(e.partialResult.Close()))
e.partialResult = nil
continue
}
var schema *expression.Schema
if e.aggregate {
schema = e.Schema()
} else {
schema = e.idxColsSchema
}
values := make([]types.Datum, schema.Len())
if handleIsExtra(e.handleCol) {
err = codec.SetRawValues(rowData, values[:len(values)-1])
} else {
err = codec.SetRawValues(rowData, values)
}
if err != nil {
return nil, errors.Trace(err)
}
err = decodeRawValues(values, schema, e.ctx.GetSessionVars().GetTimeZone())
if err != nil {
return nil, errors.Trace(err)
}
if e.aggregate {
return values, nil
}
values = e.indexRowToTableRow(h, values)
if handleIsExtra(e.handleCol) {
values[len(values)-1].SetInt64(h)
}
return values, nil
}
}
func decodeRawValues(values []types.Datum, schema *expression.Schema, loc *time.Location) error {
var err error
for i := 0; i < schema.Len(); i++ {
if values[i].Kind() == types.KindRaw {
values[i], err = tablecodec.DecodeColumnValue(values[i].GetRaw(), schema.Columns[i].RetType, loc)
if err != nil {
return errors.Trace(err)
}
}
}
return nil
}
func (e *XSelectIndexExec) indexRowToTableRow(handle int64, indexRow []types.Datum) []types.Datum {
tableRow := make([]types.Datum, len(e.columns))
for i, tblCol := range e.columns {
if table.ToColumn(tblCol).IsPKHandleColumn(e.tableInfo) {
if mysql.HasUnsignedFlag(tblCol.FieldType.Flag) {
tableRow[i] = types.NewUintDatum(uint64(handle))
} else {
tableRow[i] = types.NewIntDatum(handle)
}
continue
}
for j, idxCol := range e.index.Columns {
if tblCol.Name.L == idxCol.Name.L {
tableRow[i] = indexRow[j]
break
}
}
}
return tableRow
}
func (e *XSelectIndexExec) nextForDoubleRead() (Row, error) {
if e.taskChan == nil {
e.execStart = time.Now()
idxResult, err := e.doIndexRequest()
if err != nil {
return nil, errors.Trace(err)
}
idxResult.Fetch(e.ctx.GoCtx())
// Use a background goroutine to fetch index and put the result in e.taskChan.
// e.taskChan serves as a pipeline, so fetching index and getting table data can
// run concurrently.
e.taskChan = make(chan *lookupTableTask, atomic.LoadInt32(&LookupTableTaskChannelSize))
xIndexSelectGP.Go(func() {
e.fetchHandles(idxResult, e.taskChan)
})
}
for {
if e.taskCurr == nil {
taskCurr, ok := <-e.taskChan
if !ok {
duration := time.Since(e.execStart)
if duration > minLogDuration {
connID := e.ctx.GetSessionVars().ConnectionID
log.Infof("[%d] [TIME_INDEX_DOUBLE] %s", connID, e.slowQueryInfo(duration))
}
return nil, e.tasksErr
}
e.partialCount++
e.taskCurr = taskCurr
}
row, err := e.taskCurr.getRow()
if err != nil {
return nil, errors.Trace(err)
}
if row != nil {
return row, nil
}
e.taskCurr = nil
}
}
func (e *XSelectIndexExec) slowQueryInfo(duration time.Duration) string {
return fmt.Sprintf("time: %v, table: %s(%d), index: %s(%d), partials: %d, concurrency: %d, rows: %d, handles: %d",
duration, e.tableInfo.Name, e.tableInfo.ID, e.index.Name, e.index.ID,
e.partialCount, e.scanConcurrency, e.returnedRows, e.handleCount)
}
func (e *XSelectIndexExec) addWorker(workCh chan *lookupTableTask, concurrency *int, concurrencyLimit int) {
if *concurrency < concurrencyLimit {
xIndexSelectGP.Go(func() {
e.pickAndExecTask(workCh)
})
*concurrency++
}
}
func (e *XSelectIndexExec) fetchHandles(idxResult distsql.SelectResult, ch chan<- *lookupTableTask) {
workCh := make(chan *lookupTableTask, 1)
defer func() {
close(ch)
close(workCh)
terror.Log(errors.Trace(idxResult.Close()))
}()
lookupConcurrencyLimit := e.ctx.GetSessionVars().IndexLookupConcurrency
var concurrency int
e.addWorker(workCh, &concurrency, lookupConcurrencyLimit)
txnCtx := e.ctx.GoCtx()
for {
handles, finish, err := extractHandlesFromIndexResult(idxResult)
if err != nil || finish {
e.tasksErr = errors.Trace(err)
return
}
e.handleCount += uint64(len(handles))
tasks := e.buildTableTasks(handles)
for _, task := range tasks {
if concurrency < len(tasks) {
e.addWorker(workCh, &concurrency, lookupConcurrencyLimit)
}
select {
case <-txnCtx.Done():
return
case <-e.closeCh:
return
case workCh <- task:
default:
e.addWorker(workCh, &concurrency, lookupConcurrencyLimit)
workCh <- task
}
ch <- task
}
}
}
func (e *XSelectIndexExec) doIndexRequest() (distsql.SelectResult, error) {
selIdxReq := new(tipb.SelectRequest)
selIdxReq.StartTs = e.startTS
selIdxReq.TimeZoneOffset = timeZoneOffset(e.ctx)
selIdxReq.Flags = statementContextToFlags(e.ctx.GetSessionVars().StmtCtx)
selIdxReq.IndexInfo = distsql.IndexToProto(e.table.Meta(), e.index)
if e.desc {
selIdxReq.OrderBy = []*tipb.ByItem{{Desc: e.desc}}
}
// If the index is single read, we can push topN down.
if e.singleReadMode {
selIdxReq.Limit = e.limitCount
// If sortItemsPB is empty, the Desc may be true and we shouldn't overwrite it.
if len(e.sortItemsPB) > 0 {
selIdxReq.OrderBy = e.sortItemsPB
}
} else if e.where == nil && len(e.sortItemsPB) == 0 {
// If the index is double read but table scan has no filter or topN, we can push limit down to index.
selIdxReq.Limit = e.limitCount
}
selIdxReq.Where = e.indexConditionPBExpr
if e.singleReadMode {
selIdxReq.Aggregates = e.aggFuncs
selIdxReq.GroupBy = e.byItems
}
fieldTypes := make([]*types.FieldType, len(e.index.Columns))
for i, v := range e.index.Columns {
fieldTypes[i] = &(e.table.Cols()[v.Offset].FieldType)
}
sv := e.ctx.GetSessionVars()
sc := sv.StmtCtx
keyRanges, err := indexRangesToKVRanges(sc, e.table.Meta().ID, e.index.ID, e.ranges, fieldTypes)
if err != nil {
return nil, errors.Trace(err)
}
return distsql.Select(e.ctx.GetClient(), e.ctx.GoCtx(), selIdxReq, keyRanges, e.scanConcurrency, !e.outOfOrder, getIsolationLevel(sv), e.priority)
}
func getIsolationLevel(sv *variable.SessionVars) kv.IsoLevel {
if sv.Systems[variable.TxnIsolation] == ast.ReadCommitted {
return kv.RC
}
return kv.SI
}
func (e *XSelectIndexExec) buildTableTasks(handles []int64) []*lookupTableTask {
// Build tasks with increasing batch size.
var taskSizes []int
total := len(handles)
batchSize := e.ctx.GetSessionVars().IndexLookupSize
for total > 0 {
if batchSize > total {
batchSize = total
}
taskSizes = append(taskSizes, batchSize)
total -= batchSize
}
var indexOrder map[int64]int
if !e.outOfOrder {
// Save the index order.
indexOrder = make(map[int64]int, len(handles))
for i, h := range handles {
indexOrder[h] = i
}
}
tasks := make([]*lookupTableTask, len(taskSizes))
for i, size := range taskSizes {
task := &lookupTableTask{
handles: handles[:size],
indexOrder: indexOrder,
}
task.doneCh = make(chan error, 1)
handles = handles[size:]
tasks[i] = task
}
return tasks
}
// pickAndExecTask is a worker function, the common usage is
// go e.pickAndExecTask(ch)
func (e *XSelectIndexExec) pickAndExecTask(ch <-chan *lookupTableTask) {
for task := range ch {
err := e.executeTask(task)
task.doneCh <- err
}
}
// executeTask executes a lookup table task.
// It works like executing an XSelectTableExec, except that the ranges are built from a slice of handles
// rather than table ranges. It sends the request to all the regions containing those handles.
func (e *XSelectIndexExec) executeTask(task *lookupTableTask) error {
sort.Sort(int64Slice(task.handles))
tblResult, err := e.doTableRequest(task.handles)
if err != nil {
return errors.Trace(err)
}
task.rows, err = e.extractRowsFromTableResult(e.table, tblResult)
if err != nil {
return errors.Trace(err)
}
if !e.outOfOrder {
// Restore the index order.
var handleIdx int
if e.handleCol == nil {
handleIdx = e.schema.Len()
} else {
handleIdx = e.handleCol.Index
}
sorter := &rowsSorter{order: task.indexOrder, rows: task.rows, handleIdx: handleIdx}
if e.desc && !e.supportDesc {
sort.Sort(sort.Reverse(sorter))
} else {
sort.Sort(sorter)
}
// If this executor don't need handle, we should cut it off.
if e.handleCol == nil {
for i, row := range task.rows {
task.rows[i] = row[:len(row)-1]
}
}
}
return nil
}
func (e *XSelectIndexExec) extractRowsFromTableResult(t table.Table, tblResult distsql.SelectResult) ([]Row, error) {
defer terror.Call(tblResult.Close)
var rows []Row
for {
partialResult, err := tblResult.Next()
if err != nil {
return nil, errors.Trace(err)
}
if partialResult == nil {
break
}
subRows, err := e.extractRowsFromPartialResult(t, partialResult)
if err != nil {
return nil, errors.Trace(err)
}
rows = append(rows, subRows...)
}
return rows, nil
}
func (e *XSelectIndexExec) extractRowsFromPartialResult(t table.Table, partialResult distsql.PartialResult) ([]Row, error) {
defer terror.Call(partialResult.Close)
var rows []Row
for {
h, rowData, err := partialResult.Next()
if err != nil {
return nil, errors.Trace(err)
}
if rowData == nil {
break
}
length := e.Schema().Len()
if e.handleCol == nil && !e.outOfOrder {
length++
}
values := make([]types.Datum, length)
// If the handle col is not pk or we need it to sort the rows, it should be generated
// and cannot set value by SetRawValues.
if handleIsExtra(e.handleCol) || length > e.schema.Len() {
err = codec.SetRawValues(rowData, values[:length-1])
values[length-1].SetInt64(h)
} else {
err = codec.SetRawValues(rowData, values)
}
if err != nil {
return nil, errors.Trace(err)
}
err = decodeRawValues(values, e.Schema(), e.ctx.GetSessionVars().GetTimeZone())
if err != nil {
return nil, errors.Trace(err)
}
rows = append(rows, values)
}
return rows, nil
}
func (e *XSelectIndexExec) doTableRequest(handles []int64) (distsql.SelectResult, error) {
// The handles are not in original index order, so we can't push limit here.
selTableReq := new(tipb.SelectRequest)
if e.outOfOrder {
selTableReq.Limit = e.limitCount
selTableReq.OrderBy = e.sortItemsPB
}
selTableReq.StartTs = e.startTS
selTableReq.TimeZoneOffset = timeZoneOffset(e.ctx)
selTableReq.Flags = statementContextToFlags(e.ctx.GetSessionVars().StmtCtx)
selTableReq.TableInfo = &tipb.TableInfo{
TableId: e.table.Meta().ID,
}
selTableReq.TableInfo.Columns = distsql.ColumnsToProto(e.columns, e.table.Meta().PKIsHandle)
err := setPBColumnsDefaultValue(e.ctx, selTableReq.TableInfo.Columns, e.columns)
if err != nil {
return nil, errors.Trace(err)
}
selTableReq.Where = e.where
// Aggregate Info
selTableReq.Aggregates = e.aggFuncs
selTableReq.GroupBy = e.byItems
keyRanges := tableHandlesToKVRanges(e.table.Meta().ID, handles)
// Use the table scan concurrency variable to do table request.
concurrency := e.ctx.GetSessionVars().DistSQLScanConcurrency
resp, err := distsql.Select(e.ctx.GetClient(), goctx.Background(), selTableReq, keyRanges, concurrency, false, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return nil, errors.Trace(err)
}
resp.Fetch(e.ctx.GoCtx())
return resp, nil
}
// XSelectTableExec represents the DistSQL select table executor.
// Its execution is pushed down to KV layer.
type XSelectTableExec struct {
tableInfo *model.TableInfo
table table.Table
ctx context.Context
supportDesc bool
isMemDB bool
// result returns one or more distsql.PartialResult and each PartialResult is returned by one region.
result distsql.SelectResult
partialResult distsql.PartialResult
where *tipb.Expr
Columns []*model.ColumnInfo
schema *expression.Schema
ranges []types.IntColumnRange
desc bool
limitCount *int64
returnedRows uint64 // returned rowCount
keepOrder bool
startTS uint64
orderByList []*tipb.ByItem
// This is the column that represent the handle, we can use handleCol.Index to know its position.
handleCol *expression.Column
/*
The following attributes are used for aggregation push down.
aggFuncs is the aggregation functions in protobuf format. They will be added to distsql request msg.
byItem is the groupby items in protobuf format. They will be added to distsql request msg.
aggFields is used to decode returned rows from distsql.
aggregate indicates of the executor is handling aggregate result.
It is more convenient to use a single varible than use a long condition.
*/
aggFuncs []*tipb.Expr
byItems []*tipb.ByItem
aggregate bool
execStart time.Time
partialCount int
priority int
}
// Schema implements the Executor Schema interface.
func (e *XSelectTableExec) Schema() *expression.Schema {
return e.schema
}
// doRequest sends a *tipb.SelectRequest via kv.Client and gets the distsql.SelectResult.
func (e *XSelectTableExec) doRequest() error {
selReq := new(tipb.SelectRequest)
selReq.StartTs = e.startTS
selReq.TimeZoneOffset = timeZoneOffset(e.ctx)
selReq.Flags = statementContextToFlags(e.ctx.GetSessionVars().StmtCtx)
selReq.Where = e.where
selReq.TableInfo = &tipb.TableInfo{
TableId: e.tableInfo.ID,
}
selReq.TableInfo.Columns = distsql.ColumnsToProto(e.Columns, e.tableInfo.PKIsHandle)
err := setPBColumnsDefaultValue(e.ctx, selReq.TableInfo.Columns, e.Columns)
if err != nil {
return errors.Trace(err)
}
if len(e.orderByList) > 0 {
selReq.OrderBy = e.orderByList
} else if e.supportDesc && e.desc {
selReq.OrderBy = []*tipb.ByItem{{Desc: e.desc}}
}
selReq.Limit = e.limitCount
// Aggregate Info
selReq.Aggregates = e.aggFuncs
selReq.GroupBy = e.byItems
kvRanges := tableRangesToKVRanges(e.table.Meta().ID, e.ranges)
e.result, err = distsql.Select(e.ctx.GetClient(), goctx.Background(), selReq, kvRanges, e.ctx.GetSessionVars().DistSQLScanConcurrency, e.keepOrder, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return errors.Trace(err)
}
e.result.Fetch(e.ctx.GoCtx())
return nil
}
// Close implements the Executor Close interface.
func (e *XSelectTableExec) Close() error {
err := closeAll(e.result, e.partialResult)
if err != nil {
return errors.Trace(err)
}
e.result = nil
e.partialResult = nil
return nil
}
// Open implements the Executor interface.
func (e *XSelectTableExec) Open() error {
e.result = nil