Files
tidb/executor/new_distsql.go
2017-08-17 19:38:37 +08:00

530 lines
15 KiB
Go

// Copyright 2017 PingCAP, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// See the License for the specific language governing permissions and
// limitations under the License.
package executor
import (
"sort"
"sync/atomic"
"github.com/juju/errors"
"github.com/pingcap/tidb/context"
"github.com/pingcap/tidb/distsql"
"github.com/pingcap/tidb/expression"
"github.com/pingcap/tidb/model"
"github.com/pingcap/tidb/table"
"github.com/pingcap/tidb/util/codec"
"github.com/pingcap/tidb/util/types"
"github.com/pingcap/tipb/go-tipb"
goctx "golang.org/x/net/context"
)
var (
_ Executor = &TableReaderExecutor{}
_ Executor = &IndexReaderExecutor{}
_ Executor = &IndexLookUpExecutor{}
)
// DataReader can send requests which ranges are constructed by datums.
type DataReader interface {
Executor
doRequestForDatums(datums [][]types.Datum, goCtx goctx.Context) error
}
// handleIsExtra checks whether this column is a extra handle column generated during plan building phase.
func handleIsExtra(col *expression.Column) bool {
if col != nil && col.ID == model.ExtraHandleID {
return true
}
return false
}
// TableReaderExecutor sends dag request and reads table data from kv layer.
type TableReaderExecutor struct {
table table.Table
tableID int64
keepOrder bool
desc bool
ranges []types.IntColumnRange
dagPB *tipb.DAGRequest
ctx context.Context
schema *expression.Schema
// columns are only required by union scan.
columns []*model.ColumnInfo
// This is the column that represent the handle, we can use handleCol.Index to know its position.
handleCol *expression.Column
// result returns one or more distsql.PartialResult and each PartialResult is returned by one region.
result distsql.SelectResult
partialResult distsql.PartialResult
priority int
}
// Schema implements the Executor Schema interface.
func (e *TableReaderExecutor) Schema() *expression.Schema {
return e.schema
}
// Close implements the Executor Close interface.
func (e *TableReaderExecutor) Close() error {
err := closeAll(e.result, e.partialResult)
e.result = nil
e.partialResult = nil
return errors.Trace(err)
}
// Next implements the Executor Next interface.
func (e *TableReaderExecutor) Next() (Row, error) {
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.
return nil, nil
}
}
// Get a row from partial result.
h, rowData, err := e.partialResult.Next()
if err != nil {
return nil, errors.Trace(err)
}
if rowData == nil {
// Finish the current partial result and get the next one.
e.partialResult.Close()
e.partialResult = nil
continue
}
values := make([]types.Datum, e.schema.Len())
if handleIsExtra(e.handleCol) {
err = codec.SetRawValues(rowData, values[:len(values)-1])
values[len(values)-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)
}
return values, nil
}
}
// Open implements the Executor Open interface.
func (e *TableReaderExecutor) Open() error {
kvRanges := tableRangesToKVRanges(e.tableID, e.ranges)
var err error
e.result, err = distsql.SelectDAG(e.ctx.GetClient(), goctx.Background(), e.dagPB, kvRanges, e.ctx.GetSessionVars().DistSQLScanConcurrency, e.keepOrder, e.desc, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return errors.Trace(err)
}
e.result.Fetch(e.ctx.GoCtx())
return nil
}
// doRequestForHandles constructs kv ranges by handles. It is used by index look up executor.
func (e *TableReaderExecutor) doRequestForHandles(handles []int64, goCtx goctx.Context) error {
sort.Sort(int64Slice(handles))
kvRanges := tableHandlesToKVRanges(e.tableID, handles)
var err error
e.result, err = distsql.SelectDAG(e.ctx.GetClient(), goCtx, e.dagPB, kvRanges, e.ctx.GetSessionVars().DistSQLScanConcurrency, e.keepOrder, e.desc, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return errors.Trace(err)
}
e.result.Fetch(goCtx)
return nil
}
// doRequestForDatums constructs kv ranges by Datums. It is used by index look up executor.
// Every lens for `datums` will always be one and must be type of int64.
func (e *TableReaderExecutor) doRequestForDatums(datums [][]types.Datum, goCtx goctx.Context) error {
handles := make([]int64, 0, len(datums))
for _, datum := range datums {
handles = append(handles, datum[0].GetInt64())
}
return errors.Trace(e.doRequestForHandles(handles, goCtx))
}
// IndexReaderExecutor sends dag request and reads index data from kv layer.
type IndexReaderExecutor struct {
table table.Table
index *model.IndexInfo
tableID int64
keepOrder bool
desc bool
ranges []*types.IndexRange
dagPB *tipb.DAGRequest
ctx context.Context
schema *expression.Schema
// This is the column that represent the handle, we can use handleCol.Index to know its position.
handleCol *expression.Column
// result returns one or more distsql.PartialResult and each PartialResult is returned by one region.
result distsql.SelectResult
partialResult distsql.PartialResult
// columns are only required by union scan.
columns []*model.ColumnInfo
priority int
}
// Schema implements the Executor Schema interface.
func (e *IndexReaderExecutor) Schema() *expression.Schema {
return e.schema
}
// Close implements the Executor Close interface.
func (e *IndexReaderExecutor) Close() error {
err := closeAll(e.result, e.partialResult)
e.result = nil
e.partialResult = nil
return errors.Trace(err)
}
// Next implements the Executor Next interface.
func (e *IndexReaderExecutor) Next() (Row, error) {
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.
return nil, nil
}
}
// Get a row from partial result.
h, rowData, err := e.partialResult.Next()
if err != nil {
return nil, errors.Trace(err)
}
if rowData == nil {
// Finish the current partial result and get the next one.
e.partialResult.Close()
e.partialResult = nil
continue
}
values := make([]types.Datum, e.schema.Len())
if handleIsExtra(e.handleCol) {
err = codec.SetRawValues(rowData, values[:len(values)-1])
values[len(values)-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)
}
return values, nil
}
}
// Open implements the Executor Open interface.
func (e *IndexReaderExecutor) Open() error {
fieldTypes := make([]*types.FieldType, len(e.index.Columns))
for i, v := range e.index.Columns {
fieldTypes[i] = &(e.table.Cols()[v.Offset].FieldType)
}
kvRanges, err := indexRangesToKVRanges(e.ctx.GetSessionVars().StmtCtx, e.tableID, e.index.ID, e.ranges, fieldTypes)
if err != nil {
return errors.Trace(err)
}
e.result, err = distsql.SelectDAG(e.ctx.GetClient(), e.ctx.GoCtx(), e.dagPB, kvRanges, e.ctx.GetSessionVars().DistSQLScanConcurrency, e.keepOrder, e.desc, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return errors.Trace(err)
}
e.result.Fetch(e.ctx.GoCtx())
return nil
}
// doRequestForDatums constructs kv ranges by datums. It is used by index look up executor.
func (e *IndexReaderExecutor) doRequestForDatums(values [][]types.Datum, goCtx goctx.Context) error {
kvRanges, err := indexValuesToKVRanges(e.tableID, e.index.ID, values)
if err != nil {
return errors.Trace(err)
}
e.result, err = distsql.SelectDAG(e.ctx.GetClient(), e.ctx.GoCtx(), e.dagPB, kvRanges, e.ctx.GetSessionVars().DistSQLScanConcurrency, e.keepOrder, e.desc, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return errors.Trace(err)
}
e.result.Fetch(goCtx)
return nil
}
// IndexLookUpExecutor implements double read for index scan.
type IndexLookUpExecutor struct {
table table.Table
index *model.IndexInfo
tableID int64
keepOrder bool
desc bool
ranges []*types.IndexRange
dagPB *tipb.DAGRequest
ctx context.Context
schema *expression.Schema
// This is the column that represent the handle, we can use handleCol.Index to know its position.
handleCol *expression.Column
// result returns one or more distsql.PartialResult.
result distsql.SelectResult
taskChan chan *lookupTableTask
tasksErr error
taskCurr *lookupTableTask
tableRequest *tipb.DAGRequest
// columns are only required by union scan.
columns []*model.ColumnInfo
priority int
finished chan struct{}
}
// Open implements the Executor Open interface.
func (e *IndexLookUpExecutor) Open() error {
e.finished = make(chan struct{})
fieldTypes := make([]*types.FieldType, len(e.index.Columns))
for i, v := range e.index.Columns {
fieldTypes[i] = &(e.table.Cols()[v.Offset].FieldType)
}
kvRanges, err := indexRangesToKVRanges(e.ctx.GetSessionVars().StmtCtx, e.tableID, e.index.ID, e.ranges, fieldTypes)
if err != nil {
return errors.Trace(err)
}
e.result, err = distsql.SelectDAG(e.ctx.GetClient(), e.ctx.GoCtx(), e.dagPB, kvRanges, e.ctx.GetSessionVars().DistSQLScanConcurrency, e.keepOrder, e.desc, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return errors.Trace(err)
}
e.result.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))
go e.fetchHandlesAndStartWorkers()
return nil
}
// doRequestForDatums constructs kv ranges by datums. It is used by index look up executor.
func (e *IndexLookUpExecutor) doRequestForDatums(values [][]types.Datum, goCtx goctx.Context) error {
e.finished = make(chan struct{})
kvRanges, err := indexValuesToKVRanges(e.tableID, e.index.ID, values)
if err != nil {
return errors.Trace(err)
}
e.result, err = distsql.SelectDAG(e.ctx.GetClient(), e.ctx.GoCtx(), e.dagPB, kvRanges, e.ctx.GetSessionVars().DistSQLScanConcurrency, e.keepOrder, e.desc, getIsolationLevel(e.ctx.GetSessionVars()), e.priority)
if err != nil {
return errors.Trace(err)
}
e.result.Fetch(goCtx)
e.taskChan = make(chan *lookupTableTask, atomic.LoadInt32(&LookupTableTaskChannelSize))
go e.fetchHandlesAndStartWorkers()
return nil
}
// executeTask executes the table look up tasks. We will construct a table reader and send request by handles.
// Then we hold the returning rows and finish this task.
func (e *IndexLookUpExecutor) executeTask(task *lookupTableTask, goCtx goctx.Context) {
var (
err error
handleCol *expression.Column
)
schema := e.schema.Clone()
defer func() {
task.doneCh <- errors.Trace(err)
}()
if e.handleCol != nil {
handleCol = e.handleCol
} else if e.keepOrder {
handleCol = &expression.Column{
ID: model.ExtraHandleID,
Index: e.schema.Len(),
}
schema.Append(handleCol)
}
tableReader := &TableReaderExecutor{
table: e.table,
tableID: e.tableID,
dagPB: e.tableRequest,
schema: schema,
ctx: e.ctx,
handleCol: handleCol,
}
err = tableReader.doRequestForHandles(task.handles, goCtx)
if err != nil {
return
}
for {
var row Row
row, err = tableReader.Next()
if err != nil || row == nil {
break
}
task.rows = append(task.rows, row)
}
if e.keepOrder {
// Restore the index order.
sorter := &rowsSorter{order: task.indexOrder, rows: task.rows, handleIdx: handleCol.Index}
sort.Sort(sorter)
if e.handleCol == nil {
for i, row := range task.rows {
task.rows[i] = row[:len(row)-1]
}
}
}
}
func (e *IndexLookUpExecutor) pickAndExecTask(workCh <-chan *lookupTableTask, txnCtx goctx.Context) {
childCtx, cancel := goctx.WithCancel(txnCtx)
defer cancel()
for {
select {
case task := <-workCh:
if task == nil {
return
}
e.executeTask(task, childCtx)
case <-childCtx.Done():
return
case <-e.finished:
return
}
}
}
// fetchHandlesAndStartWorkers fetches a batch of handles from index data and builds the index lookup tasks.
// We initialize some workers to execute this tasks concurrently and put the task to taskCh by order.
func (e *IndexLookUpExecutor) fetchHandlesAndStartWorkers() {
// The tasks in workCh will be consumed by workers. When all workers are busy, we should stop to push tasks to channel.
// So its length is one.
workCh := make(chan *lookupTableTask, 1)
defer func() {
close(workCh)
close(e.taskChan)
}()
lookupConcurrencyLimit := e.ctx.GetSessionVars().IndexLookupConcurrency
txnCtx := e.ctx.GoCtx()
for i := 0; i < lookupConcurrencyLimit; i++ {
go e.pickAndExecTask(workCh, txnCtx)
}
for {
handles, finish, err := extractHandlesFromIndexResult(e.result)
if err != nil || finish {
e.tasksErr = errors.Trace(err)
return
}
tasks := e.buildTableTasks(handles)
for _, task := range tasks {
select {
case <-txnCtx.Done():
return
case <-e.finished:
return
case workCh <- task:
}
e.taskChan <- task
}
}
}
func (e *IndexLookUpExecutor) 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.keepOrder {
// 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
}
// Schema implements Exec Schema interface.
func (e *IndexLookUpExecutor) Schema() *expression.Schema {
return e.schema
}
// Close implements Exec Close interface.
func (e *IndexLookUpExecutor) Close() error {
// If this executor is closed once, we should not close it second time.
if e.taskChan == nil {
return nil
}
close(e.finished)
// Consume the task channel in case channel is full.
for range e.taskChan {
}
e.taskChan = nil
err := e.result.Close()
e.result = nil
return errors.Trace(err)
}
// Next implements Exec Next interface.
func (e *IndexLookUpExecutor) Next() (Row, error) {
for {
if e.taskCurr == nil {
taskCurr, ok := <-e.taskChan
if !ok {
return nil, e.tasksErr
}
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
}
}