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planner: check clustered index don't need double read #18054

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4 changes: 4 additions & 0 deletions executor/insert_test.go
Original file line number Diff line number Diff line change
Expand Up @@ -1234,6 +1234,10 @@ func (s *testSuite10) TestClusterPrimaryTableInsertDuplicate(c *C) {
}

func (s *testSuite10) TestClusterPrimaryKeyForIndexScan(c *C) {
// TODO: support double read on cluster index.
c.Skip("because we do not support the double read on cluster index, so this test will fail since " +
"https://github.com/pingcap/tidb/pull/18054 merged. After we support the double read on cluster index, we " +
"should remake the test effective.")
tk := testkit.NewTestKit(c, s.store)
tk.MustExec(`use test`)
tk.MustExec(`set @@tidb_enable_clustered_index=true`)
Expand Down
4 changes: 2 additions & 2 deletions planner/core/exhaust_physical_plans.go
Original file line number Diff line number Diff line change
Expand Up @@ -847,7 +847,7 @@ func (p *LogicalJoin) constructInnerIndexScanTask(
tblCols: ds.TblCols,
keepOrder: is.KeepOrder,
}
if !isCoveringIndex(ds.schema.Columns, path.FullIdxCols, path.FullIdxColLens, is.Table.PKIsHandle) {
if !ds.isCoveringIndex(ds.schema.Columns, path.FullIdxCols, path.FullIdxColLens, is.Table) {
// On this way, it's double read case.
ts := PhysicalTableScan{
Columns: ds.Columns,
Expand All @@ -864,7 +864,7 @@ func (p *LogicalJoin) constructInnerIndexScanTask(
cop.tablePlan = ts
}
is.initSchema(path.Index, path.FullIdxCols, cop.tablePlan != nil)
indexConds, tblConds := splitIndexFilterConditions(filterConds, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo)
indexConds, tblConds := ds.splitIndexFilterConditions(filterConds, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo)
// Specially handle cases when input rowCount is 0, which can only happen in 2 scenarios:
// - estimated row count of outer plan is 0;
// - estimated row count of inner "DataSource + filters" is 0;
Expand Down
64 changes: 32 additions & 32 deletions planner/core/find_best_task.go
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,6 @@ import (
"github.com/pingcap/tidb/planner/util"
"github.com/pingcap/tidb/sessionctx/stmtctx"
"github.com/pingcap/tidb/statistics"
"github.com/pingcap/tidb/table/tables"
"github.com/pingcap/tidb/types"
"github.com/pingcap/tidb/util/chunk"
"github.com/pingcap/tidb/util/logutil"
Expand Down Expand Up @@ -407,7 +406,7 @@ func (ds *DataSource) skylinePruning(prop *property.PhysicalProperty) []*candida
if path.IsTablePath() {
currentCandidate = ds.getTableCandidate(path, prop)
} else {
coveredByIdx := isCoveringIndex(ds.schema.Columns, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo.PKIsHandle)
coveredByIdx := ds.isCoveringIndex(ds.schema.Columns, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo)
if len(path.AccessConds) > 0 || !prop.IsEmpty() || path.Forced || coveredByIdx {
// We will use index to generate physical plan if any of the following conditions is satisfied:
// 1. This path's access cond is not nil.
Expand Down Expand Up @@ -700,25 +699,27 @@ func (ds *DataSource) buildIndexMergeTableScan(prop *property.PhysicalProperty,
return ts, partialCost
}

func isCoveringIndex(columns, indexColumns []*expression.Column, idxColLens []int, pkIsHandle bool) bool {
func indexCoveringCol(col *expression.Column, indexCols []*expression.Column, idxColLens []int) bool {
for i, indexCol := range indexCols {
isFullLen := idxColLens[i] == types.UnspecifiedLength || idxColLens[i] == col.RetType.Flen
// We use col.OrigColName instead of col.ColName.
// Related issue: https://github.com/pingcap/tidb/issues/9636.
if indexCol != nil && col.Equal(nil, indexCol) && isFullLen {
return true
}
}
return false
}

func (ds *DataSource) isCoveringIndex(columns, indexColumns []*expression.Column, idxColLens []int, tblInfo *model.TableInfo) bool {
for _, col := range columns {
if pkIsHandle && mysql.HasPriKeyFlag(col.RetType.Flag) {
if tblInfo.PKIsHandle && mysql.HasPriKeyFlag(col.RetType.Flag) {
continue
}
if col.ID == model.ExtraHandleID {
continue
}
isIndexColumn := false
for i, indexCol := range indexColumns {
isFullLen := idxColLens[i] == types.UnspecifiedLength || idxColLens[i] == col.RetType.Flen
// We use col.OrigColName instead of col.ColName.
// Related issue: https://github.com/pingcap/tidb/issues/9636.
if indexCol != nil && col.Equal(nil, indexCol) && isFullLen {
isIndexColumn = true
break
}
}
if !isIndexColumn {
if !indexCoveringCol(col, indexColumns, idxColLens) && !indexCoveringCol(col, ds.commonHandleCols, ds.commonHandleLens) {
return false
}
}
Expand Down Expand Up @@ -774,7 +775,7 @@ func (ds *DataSource) convertToIndexScan(prop *property.PhysicalProperty, candid
cop.cst = cost
task = cop
if candidate.isMatchProp {
if cop.tablePlan != nil {
if cop.tablePlan != nil && !ds.tableInfo.IsCommonHandle {
col, isNew := cop.tablePlan.(*PhysicalTableScan).appendExtraHandleCol(ds)
cop.extraHandleCol = col
cop.doubleReadNeedProj = isNew
Expand Down Expand Up @@ -814,6 +815,17 @@ func (is *PhysicalIndexScan) indexScanRowSize(idx *model.IndexInfo, ds *DataSour
func (is *PhysicalIndexScan) initSchema(idx *model.IndexInfo, idxExprCols []*expression.Column, isDoubleRead bool) {
indexCols := make([]*expression.Column, len(is.IdxCols), len(idx.Columns)+1)
copy(indexCols, is.IdxCols)
is.NeedCommonHandle = is.Table.IsCommonHandle

if is.NeedCommonHandle {
if len(is.IdxCols) < len(is.Columns) {
for i := len(is.IdxCols); i < len(idxExprCols); i++ {
indexCols = append(indexCols, idxExprCols[i])
}
}
is.SetSchema(expression.NewSchema(indexCols...))
return
}
for i := len(is.IdxCols); i < len(idx.Columns); i++ {
if idxExprCols[i] != nil {
indexCols = append(indexCols, idxExprCols[i])
Expand All @@ -836,19 +848,6 @@ func (is *PhysicalIndexScan) initSchema(idx *model.IndexInfo, idxExprCols []*exp
}
}
}

if is.Table.IsCommonHandle {
pkIdx := tables.FindPrimaryIndex(is.Table)
for _, col := range pkIdx.Columns {
indexCols = append(indexCols, &expression.Column{
ID: is.Table.Columns[col.Offset].ID,
RetType: &is.Table.Columns[col.Offset].FieldType,
UniqueID: is.ctx.GetSessionVars().AllocPlanColumnID(),
})
}
is.NeedCommonHandle = true
}

// If it's double read case, the first index must return handle. So we should add extra handle column
// if there isn't a handle column.
if isDoubleRead && !setHandle {
Expand All @@ -860,6 +859,7 @@ func (is *PhysicalIndexScan) initSchema(idx *model.IndexInfo, idxExprCols []*exp
})
}
}

is.SetSchema(expression.NewSchema(indexCols...))
}

Expand Down Expand Up @@ -922,11 +922,11 @@ func matchIndicesProp(idxCols []*expression.Column, colLens []int, propItems []p
return true
}

func splitIndexFilterConditions(conditions []expression.Expression, indexColumns []*expression.Column, idxColLens []int,
func (ds *DataSource) splitIndexFilterConditions(conditions []expression.Expression, indexColumns []*expression.Column, idxColLens []int,
table *model.TableInfo) (indexConds, tableConds []expression.Expression) {
var indexConditions, tableConditions []expression.Expression
for _, cond := range conditions {
if isCoveringIndex(expression.ExtractColumns(cond), indexColumns, idxColLens, table.PKIsHandle) {
if ds.isCoveringIndex(expression.ExtractColumns(cond), indexColumns, idxColLens, table) {
indexConditions = append(indexConditions, cond)
} else {
tableConditions = append(tableConditions, cond)
Expand Down Expand Up @@ -1408,7 +1408,7 @@ func (ds *DataSource) getOriginalPhysicalIndexScan(prop *property.PhysicalProper
is.Hist = &statsTbl.Indices[idx.ID].Histogram
}
rowCount := path.CountAfterAccess
is.initSchema(idx, path.FullIdxCols, !isSingleScan)
is.initSchema(idx, append(path.FullIdxCols, ds.commonHandleCols...), !isSingleScan)
// Only use expectedCnt when it's smaller than the count we calculated.
// e.g. IndexScan(count1)->After Filter(count2). The `ds.stats.RowCount` is count2. count1 is the one we need to calculate
// If expectedCnt and count2 are both zero and we go into the below `if` block, the count1 will be set to zero though it's shouldn't be.
Expand Down
4 changes: 4 additions & 0 deletions planner/core/logical_plan_builder.go
Original file line number Diff line number Diff line change
Expand Up @@ -2860,6 +2860,10 @@ func (b *PlanBuilder) buildDataSource(ctx context.Context, tn *ast.TableName, as
ds.names = names
ds.setPreferredStoreType(b.TableHints())

// Init commonHandleCols and commonHandleLens for data source.
if tableInfo.IsCommonHandle {
ds.commonHandleCols, ds.commonHandleLens = expression.IndexInfo2Cols(ds.Columns, ds.schema.Columns, tables.FindPrimaryIndex(tableInfo))
}
// Init FullIdxCols, FullIdxColLens for accessPaths.
for _, path := range ds.possibleAccessPaths {
if !path.IsTablePath() {
Expand Down
7 changes: 5 additions & 2 deletions planner/core/logical_plans.go
Original file line number Diff line number Diff line change
Expand Up @@ -498,6 +498,9 @@ type DataSource struct {
// TblCols contains the original columns of table before being pruned, and it
// is used for estimating table scan cost.
TblCols []*expression.Column
// commonHandleCols and commonHandleLens save the info of primary key which is the clustered index.
commonHandleCols []*expression.Column
commonHandleLens []int
// TblColHists contains the Histogram of all original table columns,
// it is converted from statisticTable, and used for IO/network cost estimating.
TblColHists *statistics.HistColl
Expand Down Expand Up @@ -626,7 +629,7 @@ func (ds *DataSource) Convert2Gathers() (gathers []LogicalPlan) {
path.FullIdxCols, path.FullIdxColLens = expression.IndexInfo2Cols(ds.Columns, ds.schema.Columns, path.Index)
path.IdxCols, path.IdxColLens = expression.IndexInfo2PrefixCols(ds.Columns, ds.schema.Columns, path.Index)
// If index columns can cover all of the needed columns, we can use a IndexGather + IndexScan.
if isCoveringIndex(ds.schema.Columns, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo.PKIsHandle) {
if ds.isCoveringIndex(ds.schema.Columns, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo) {
gathers = append(gathers, ds.buildIndexGather(path))
}
// TODO: If index columns can not cover the schema, use IndexLookUpGather.
Expand Down Expand Up @@ -857,7 +860,7 @@ func (ds *DataSource) deriveIndexPathStats(path *util.AccessPath, conds []expres
}
}
}
path.IndexFilters, path.TableFilters = splitIndexFilterConditions(path.TableFilters, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo)
path.IndexFilters, path.TableFilters = ds.splitIndexFilterConditions(path.TableFilters, path.FullIdxCols, path.FullIdxColLens, ds.tableInfo)
// If the `CountAfterAccess` is less than `stats.RowCount`, there must be some inconsistent stats info.
// We prefer the `stats.RowCount` because it could use more stats info to calculate the selectivity.
if path.CountAfterAccess < ds.stats.RowCount && !isIm {
Expand Down
4 changes: 3 additions & 1 deletion planner/core/testdata/integration_suite_in.json
Original file line number Diff line number Diff line change
Expand Up @@ -143,7 +143,9 @@
"select * from t1",
"select * from t1 where t1.a >= 1 and t1.a < 4",
"select * from t1 where t1.a = 1 and t1.b < \"333\"",
"select * from t1 where t1.c = 3.3"
"select * from t1 where t1.c = 3.3",
"select t1.b, t1.c from t1 where t1.c = 2.2",
"select /*+ use_index(t1, c) */ * from t1"
]
}
]
27 changes: 24 additions & 3 deletions planner/core/testdata/integration_suite_out.json
Original file line number Diff line number Diff line change
Expand Up @@ -682,13 +682,34 @@
{
"SQL": "select * from t1 where t1.c = 3.3",
"Plan": [
"TableReader_7 1.00 root data:Selection_6",
"└─Selection_6 1.00 cop[tikv] eq(test.t1.c, 3.3)",
" └─TableFullScan_5 3.00 cop[tikv] table:t1 keep order:false"
"IndexReader_6 1.00 root index:IndexRangeScan_5",
"└─IndexRangeScan_5 1.00 cop[tikv] table:t1, index:c(c) range:[3.3000000000,3.3000000000], keep order:false"
],
"Res": [
"3 333 3.3000000000"
]
},
{
"SQL": "select t1.b, t1.c from t1 where t1.c = 2.2",
"Plan": [
"IndexReader_6 1.00 root index:IndexRangeScan_5",
"└─IndexRangeScan_5 1.00 cop[tikv] table:t1, index:c(c) range:[2.2000000000,2.2000000000], keep order:false"
],
"Res": [
"222 2.2000000000"
]
},
{
"SQL": "select /*+ use_index(t1, c) */ * from t1",
"Plan": [
"IndexReader_5 3.00 root index:IndexFullScan_4",
"└─IndexFullScan_4 3.00 cop[tikv] table:t1, index:c(c) keep order:false"
],
"Res": [
"1 111 1.1000000000",
"2 222 2.2000000000",
"3 333 3.3000000000"
]
}
]
}
Expand Down