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planner: support join elimination rule #8021
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Merge branch 'master' into dev/join_elimination
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Merge branch 'master' into dev/join_elimination
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Merge branch 'dev/join_elimination' of https://github.com/lzmhhh123/t…
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// Copyright 2018 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. | ||
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package core | ||
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import ( | ||
"github.com/pingcap/parser/ast" | ||
"github.com/pingcap/tidb/expression" | ||
) | ||
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type outerJoinEliminator struct { | ||
// save the duplicate agnostic aggregate function's args in recursion | ||
cols [][]*expression.Column | ||
// save the LogicalJoin's parent schema in recursion | ||
schemas []*expression.Schema | ||
} | ||
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// tryToEliminateOuterJoin will eliminate outer join plan base on the following rules | ||
// 1. outer join elimination: For example left outer join, if the parent only use the | ||
// columns from left table and the join key of right table(the inner table) is a unique | ||
// key of the right table. the left outer join can be eliminated. | ||
// 2. outer join elimination with duplicate agnostic aggregate functions: For example left outer join. | ||
// If the parent only use the columns from left table with 'distinct' label. The left outer join can | ||
// be eliminated. | ||
func (o *outerJoinEliminator) tryToEliminateOuterJoin(p *LogicalJoin) LogicalPlan { | ||
switch p.JoinType { | ||
case LeftOuterJoin: | ||
return o.doEliminate(p, 1) | ||
case RightOuterJoin: | ||
return o.doEliminate(p, 0) | ||
default: | ||
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return nil | ||
} | ||
} | ||
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func (o *outerJoinEliminator) doEliminate(p *LogicalJoin, innerChildIdx int) LogicalPlan { | ||
// outer join elimination with duplicate agnostic aggregate functions | ||
if len(o.cols) > 0 { | ||
cols := o.cols[len(o.cols)-1] | ||
allColsInSchema := true | ||
for _, col := range cols { | ||
columnName := &ast.ColumnName{Schema: col.DBName, Table: col.TblName, Name: col.ColName} | ||
if c, _ := p.children[1^innerChildIdx].Schema().FindColumn(columnName); c == nil { | ||
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allColsInSchema = false | ||
break | ||
} | ||
} | ||
if allColsInSchema == true { | ||
return p.children[1^innerChildIdx] | ||
} | ||
} | ||
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// outer join elimination without duplicate agnostic aggregate functions | ||
// first, check whether the parent's schema columns are all in left or right | ||
if len(o.schemas) == 0 { | ||
return nil | ||
} | ||
for _, col := range o.schemas[len(o.schemas)-1].Columns { | ||
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columnName := &ast.ColumnName{Schema: col.DBName, Table: col.TblName, Name: col.ColName} | ||
if c, _ := p.children[1^innerChildIdx].Schema().FindColumn(columnName); c == nil { | ||
return nil | ||
} | ||
} | ||
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// second, check whether the other side join keys are unique keys | ||
p.children[innerChildIdx].buildKeyInfo() | ||
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var joinKeys []*expression.Column | ||
for _, eqCond := range p.EqualConditions { | ||
joinKeys = append(joinKeys, eqCond.GetArgs()[innerChildIdx].(*expression.Column)) | ||
} | ||
tmpSchema := expression.NewSchema(joinKeys...) | ||
for _, keyInfo := range p.children[innerChildIdx].Schema().Keys { | ||
joinKeysContainKeyInfo := true | ||
for _, col := range keyInfo { | ||
columnName := &ast.ColumnName{Schema: col.DBName, Table: col.TblName, Name: col.ColName} | ||
if c, _ := tmpSchema.FindColumn(columnName); c == nil { | ||
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joinKeysContainKeyInfo = false | ||
break | ||
} | ||
} | ||
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if joinKeysContainKeyInfo { | ||
return p.children[1^innerChildIdx] | ||
} | ||
} | ||
// Third, if p.children[innerChildIdx] is datasource, we must check specially index. | ||
// Because buildKeyInfo() don't save the index without notnull flag. | ||
// But in outer join, null==null don't return true. The null index do not affect the res. | ||
if ds, ok := p.children[innerChildIdx].(*DataSource); ok { | ||
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for _, path := range ds.possibleAccessPaths { | ||
if path.isTablePath { | ||
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continue | ||
} | ||
idx := path.index | ||
if !idx.Unique { | ||
continue | ||
} | ||
joinKeysContainIndex := true | ||
for _, idxCol := range idx.Columns { | ||
columnName := &ast.ColumnName{Schema: ds.DBName, Table: ds.tableInfo.Name, Name: idxCol.Name} | ||
if c, _ := tmpSchema.FindColumn(columnName); c == nil { | ||
joinKeysContainIndex = false | ||
break | ||
} | ||
} | ||
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if joinKeysContainIndex { | ||
return p.children[1^innerChildIdx] | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Should we remove other possible paths in this case? |
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} | ||
} | ||
} | ||
return nil | ||
} | ||
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func (o *outerJoinEliminator) isDuplicateAgnosticAgg(p LogicalPlan) (isDuplicateAgnosticAgg bool, cols []*expression.Column) { | ||
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if agg, ok := p.(*LogicalAggregation); ok { | ||
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isDuplicateAgnosticAgg = true | ||
for _, aggDesc := range agg.AggFuncs { | ||
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if aggDesc.Name != ast.AggFuncFirstRow && | ||
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aggDesc.Name != ast.AggFuncMax && | ||
aggDesc.Name != ast.AggFuncMin && | ||
(aggDesc.Name != ast.AggFuncAvg || !aggDesc.HasDistinct) && | ||
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(aggDesc.Name != ast.AggFuncSum || !aggDesc.HasDistinct) && | ||
(aggDesc.Name != ast.AggFuncCount || !aggDesc.HasDistinct) { | ||
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isDuplicateAgnosticAgg = false | ||
break | ||
} | ||
if col, ok := aggDesc.Args[0].(*expression.Column); ok { | ||
cols = append(cols, col) | ||
} else { | ||
isDuplicateAgnosticAgg = false | ||
break | ||
} | ||
} | ||
return | ||
} | ||
return false, nil | ||
} | ||
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func (o *outerJoinEliminator) optimize(p LogicalPlan) (LogicalPlan, error) { | ||
// check the duplicate agnostic aggregate functions | ||
if ok, cols := o.isDuplicateAgnosticAgg(p); ok { | ||
o.cols = append(o.cols, cols) | ||
defer func() { | ||
o.cols = o.cols[:len(o.cols)-1] | ||
}() | ||
} | ||
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newChildren := make([]LogicalPlan, 0, len(p.Children())) | ||
for _, child := range p.Children() { | ||
// if child is logical join, then save the parent schema | ||
if _, ok := child.(*LogicalJoin); ok { | ||
o.schemas = append(o.schemas, p.Schema()) | ||
defer func() { | ||
o.schemas = o.schemas[:len(o.schemas)-1] | ||
}() | ||
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} | ||
newChild, _ := o.optimize(child) | ||
newChildren = append(newChildren, newChild) | ||
} | ||
p.SetChildren(newChildren...) | ||
join, ok := p.(*LogicalJoin) | ||
if !ok { | ||
return p, nil | ||
} | ||
if proj := o.tryToEliminateOuterJoin(join); proj != nil { | ||
return proj, nil | ||
} | ||
return p, nil | ||
} |
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In the optimization phase, the semi joins are also considered, I think we should add the optimization flag for these semi joins in here.
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and please add some explain tests to cover these optimizations.
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After my seriously considering. I think semi-joins can't be eliminated in any case. So I will remove semi-join in the eliminating rule.