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logical_plan_test.go
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// 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 plan
import (
"sort"
"testing"
. "github.com/pingcap/check"
"github.com/pingcap/tidb/ast"
"github.com/pingcap/tidb/context"
"github.com/pingcap/tidb/domain"
"github.com/pingcap/tidb/expression"
"github.com/pingcap/tidb/infoschema"
"github.com/pingcap/tidb/kv"
"github.com/pingcap/tidb/model"
"github.com/pingcap/tidb/mysql"
"github.com/pingcap/tidb/parser"
"github.com/pingcap/tidb/sessionctx"
"github.com/pingcap/tidb/statistics"
"github.com/pingcap/tidb/terror"
"github.com/pingcap/tidb/util/mock"
"github.com/pingcap/tidb/util/testleak"
"github.com/pingcap/tidb/util/types"
"github.com/pingcap/tipb/go-tipb"
goctx "golang.org/x/net/context"
)
var _ = Suite(&testPlanSuite{})
func TestT(t *testing.T) {
CustomVerboseFlag = true
TestingT(t)
}
type testPlanSuite struct {
*parser.Parser
}
func (s *testPlanSuite) SetUpSuite(c *C) {
s.Parser = parser.New()
}
func newLongType() types.FieldType {
return *(types.NewFieldType(mysql.TypeLong))
}
func newStringType() types.FieldType {
ft := types.NewFieldType(mysql.TypeVarchar)
ft.Charset, ft.Collate = types.DefaultCharsetForType(mysql.TypeVarchar)
return *ft
}
func MockResolve(node ast.Node) (infoschema.InfoSchema, error) {
indices := []*model.IndexInfo{
{
Name: model.NewCIStr("c_d_e"),
Columns: []*model.IndexColumn{
{
Name: model.NewCIStr("c"),
Length: types.UnspecifiedLength,
Offset: 2,
},
{
Name: model.NewCIStr("d"),
Length: types.UnspecifiedLength,
Offset: 3,
},
{
Name: model.NewCIStr("e"),
Length: types.UnspecifiedLength,
Offset: 4,
},
},
State: model.StatePublic,
Unique: true,
},
{
Name: model.NewCIStr("e"),
Columns: []*model.IndexColumn{
{
Name: model.NewCIStr("e"),
Length: types.UnspecifiedLength,
Offset: 4,
},
},
State: model.StateWriteOnly,
Unique: true,
},
{
Name: model.NewCIStr("f"),
Columns: []*model.IndexColumn{
{
Name: model.NewCIStr("f"),
Length: types.UnspecifiedLength,
Offset: 8,
},
},
State: model.StatePublic,
Unique: true,
},
{
Name: model.NewCIStr("g"),
Columns: []*model.IndexColumn{
{
Name: model.NewCIStr("g"),
Length: types.UnspecifiedLength,
Offset: 9,
},
},
State: model.StatePublic,
Unique: true,
},
{
Name: model.NewCIStr("f_g"),
Columns: []*model.IndexColumn{
{
Name: model.NewCIStr("f"),
Length: types.UnspecifiedLength,
Offset: 8,
},
{
Name: model.NewCIStr("g"),
Length: types.UnspecifiedLength,
Offset: 9,
},
},
State: model.StatePublic,
Unique: true,
},
{
Name: model.NewCIStr("c_d_e_str"),
Columns: []*model.IndexColumn{
{
Name: model.NewCIStr("c_str"),
Length: types.UnspecifiedLength,
Offset: 5,
},
{
Name: model.NewCIStr("d_str"),
Length: types.UnspecifiedLength,
Offset: 6,
},
{
Name: model.NewCIStr("e_str"),
Length: types.UnspecifiedLength,
Offset: 7,
},
},
State: model.StatePublic,
},
{
Name: model.NewCIStr("e_d_c_str_prefix"),
Columns: []*model.IndexColumn{
{
Name: model.NewCIStr("e_str"),
Length: types.UnspecifiedLength,
Offset: 7,
},
{
Name: model.NewCIStr("d_str"),
Length: types.UnspecifiedLength,
Offset: 6,
},
{
Name: model.NewCIStr("c_str"),
Length: 10,
Offset: 5,
},
},
State: model.StatePublic,
},
}
pkColumn := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("a"),
FieldType: newLongType(),
ID: 1,
}
col0 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("b"),
FieldType: newLongType(),
ID: 2,
}
col1 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("c"),
FieldType: newLongType(),
ID: 3,
}
col2 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("d"),
FieldType: newLongType(),
ID: 4,
}
col3 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("e"),
FieldType: newLongType(),
ID: 5,
}
colStr1 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("c_str"),
FieldType: newStringType(),
ID: 6,
}
colStr2 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("d_str"),
FieldType: newStringType(),
ID: 7,
}
colStr3 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("e_str"),
FieldType: newStringType(),
ID: 8,
}
col4 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("f"),
FieldType: newLongType(),
ID: 9,
}
col5 := &model.ColumnInfo{
State: model.StatePublic,
Name: model.NewCIStr("g"),
FieldType: newLongType(),
ID: 10,
}
pkColumn.Flag = mysql.PriKeyFlag
// Column 'b', 'c', 'd', 'f', 'g' is not null.
col0.Flag = mysql.NotNullFlag
col1.Flag = mysql.NotNullFlag
col2.Flag = mysql.NotNullFlag
col4.Flag = mysql.NotNullFlag
col5.Flag = mysql.NotNullFlag
table := &model.TableInfo{
Columns: []*model.ColumnInfo{pkColumn, col0, col1, col2, col3, colStr1, colStr2, colStr3, col4, col5},
Indices: indices,
Name: model.NewCIStr("t"),
PKIsHandle: true,
}
is := infoschema.MockInfoSchema([]*model.TableInfo{table})
ctx := mockContext()
err := MockResolveName(node, is, "test", ctx)
if err != nil {
return nil, err
}
return is, expression.InferType(ctx.GetSessionVars().StmtCtx, node)
}
func supportExpr(exprType tipb.ExprType) bool {
switch exprType {
// data type
case tipb.ExprType_Null, tipb.ExprType_Int64, tipb.ExprType_Uint64,
tipb.ExprType_Float32, tipb.ExprType_Float64, tipb.ExprType_String,
tipb.ExprType_Bytes, tipb.ExprType_MysqlDuration, tipb.ExprType_MysqlDecimal,
tipb.ExprType_MysqlTime, tipb.ExprType_ColumnRef:
return true
// logic operators
case tipb.ExprType_And, tipb.ExprType_Or, tipb.ExprType_Not, tipb.ExprType_Xor:
return true
// compare operators
case tipb.ExprType_LT, tipb.ExprType_LE, tipb.ExprType_EQ, tipb.ExprType_NE,
tipb.ExprType_GE, tipb.ExprType_GT, tipb.ExprType_NullEQ,
tipb.ExprType_In, tipb.ExprType_ValueList, tipb.ExprType_Like:
return true
// arithmetic operators
case tipb.ExprType_Plus, tipb.ExprType_Div, tipb.ExprType_Minus,
tipb.ExprType_Mul, tipb.ExprType_IntDiv, tipb.ExprType_Mod:
return true
// aggregate functions
case tipb.ExprType_Count, tipb.ExprType_First, tipb.ExprType_Sum,
tipb.ExprType_Avg, tipb.ExprType_Max, tipb.ExprType_Min:
return true
// bitwise operators
case tipb.ExprType_BitAnd, tipb.ExprType_BitOr, tipb.ExprType_BitXor, tipb.ExprType_BitNeg:
return true
// control functions
case tipb.ExprType_Case, tipb.ExprType_If, tipb.ExprType_IfNull, tipb.ExprType_NullIf:
return true
// other functions
case tipb.ExprType_Coalesce, tipb.ExprType_IsNull:
return true
case kv.ReqSubTypeDesc:
return true
default:
return false
}
}
type mockClient struct {
}
func (c *mockClient) Send(ctx goctx.Context, _ *kv.Request) kv.Response {
return nil
}
func (c *mockClient) SupportRequestType(reqType, subType int64) bool {
switch reqType {
case kv.ReqTypeSelect, kv.ReqTypeIndex:
switch subType {
case kv.ReqSubTypeGroupBy, kv.ReqSubTypeBasic, kv.ReqSubTypeTopN:
return true
default:
return supportExpr(tipb.ExprType(subType))
}
}
return false
}
type mockStore struct {
client *mockClient
}
func (m *mockStore) GetClient() kv.Client {
return m.client
}
func (m *mockStore) Begin() (kv.Transaction, error) {
return nil, nil
}
// BeginWithStartTS begins with startTS.
func (m *mockStore) BeginWithStartTS(startTS uint64) (kv.Transaction, error) {
return m.Begin()
}
func (m *mockStore) GetSnapshot(ver kv.Version) (kv.Snapshot, error) {
return nil, nil
}
func (m *mockStore) Close() error {
return nil
}
func (m *mockStore) UUID() string {
return "mock"
}
func (m *mockStore) CurrentVersion() (kv.Version, error) {
return kv.Version{}, nil
}
func mockContext() context.Context {
ctx := mock.NewContext()
ctx.Store = &mockStore{
client: &mockClient{},
}
do := &domain.Domain{}
do.CreateStatsHandle(ctx)
sessionctx.BindDomain(ctx, do)
return ctx
}
func mockStatsTable(tbl *model.TableInfo, rowCount int64) *statistics.Table {
statsTbl := &statistics.Table{
TableID: tbl.ID,
Count: rowCount,
Columns: make(map[int64]*statistics.Column, len(tbl.Columns)),
Indices: make(map[int64]*statistics.Index, len(tbl.Indices)),
}
return statsTbl
}
// mockStatsHistogram will create a statistics.Histogram, of which the data is uniform distribution.
func mockStatsHistogram(id int64, values []types.Datum, repeat int64) *statistics.Histogram {
ndv := len(values)
histogram := &statistics.Histogram{
ID: id,
NDV: int64(ndv),
Buckets: make([]statistics.Bucket, ndv),
}
for i := 0; i < ndv; i++ {
histogram.Buckets[i].Repeats = repeat
histogram.Buckets[i].Count = repeat * int64(i+1)
histogram.Buckets[i].Value = values[i]
}
return histogram
}
func (s *testPlanSuite) TestPredicatePushDown(c *C) {
defer testleak.AfterTest(c)()
tests := []struct {
sql string
first string
best string
}{
{
sql: "select count(*) from t a, t b where a.a = b.a",
best: "Join{DataScan(a)->DataScan(b)}(a.a,b.a)->Aggr(count(1))->Projection",
},
{
sql: "select a from (select a from t where d = 0) k where k.a = 5",
best: "DataScan(t)->Selection->Projection->Projection",
},
{
sql: "select a from (select 1+2 as a from t where d = 0) k where k.a = 5",
best: "DataScan(t)->Selection->Projection->Projection",
},
{
sql: "select a from (select d as a from t where d = 0) k where k.a = 5",
best: "DataScan(t)->Selection->Projection->Projection",
},
{
sql: "select * from t ta, t tb where (ta.d, ta.a) = (tb.b, tb.c)",
best: "Join{DataScan(ta)->DataScan(tb)}(ta.d,tb.b)(ta.a,tb.c)->Projection",
},
{
sql: "select * from t t1, t t2 where t1.a = t2.b and t2.b > 0 and t1.a = t1.c and t1.d like 'abc' and t2.d = t1.d",
best: "Join{DataScan(t2)->Selection->DataScan(t1)->Selection}(t2.b,t1.a)(t2.d,t1.d)->Projection",
},
{
sql: "select * from t ta join t tb on ta.d = tb.d and ta.d > 1 where tb.a = 0",
best: "Join{DataScan(ta)->Selection->DataScan(tb)->Selection}(ta.d,tb.d)->Projection",
},
{
sql: "select * from t ta join t tb on ta.d = tb.d where ta.d > 1 and tb.a = 0",
best: "Join{DataScan(ta)->Selection->DataScan(tb)->Selection}(ta.d,tb.d)->Projection",
},
{
sql: "select * from t ta left outer join t tb on ta.d = tb.d and ta.d > 1 where tb.a = 0",
best: "Join{DataScan(ta)->Selection->DataScan(tb)->Selection}(ta.d,tb.d)->Projection",
},
{
sql: "select * from t ta right outer join t tb on ta.d = tb.d and ta.a > 1 where tb.a = 0",
best: "Join{DataScan(ta)->Selection->DataScan(tb)->Selection}(ta.d,tb.d)->Projection",
},
{
sql: "select * from t ta left outer join t tb on ta.d = tb.d and ta.a > 1 where ta.d = 0",
best: "Join{DataScan(ta)->Selection->DataScan(tb)}(ta.d,tb.d)->Projection",
},
{
sql: "select * from t ta left outer join t tb on ta.d = tb.d and ta.a > 1 where tb.d = 0",
best: "Join{DataScan(ta)->Selection->DataScan(tb)->Selection}->Projection",
},
{
sql: "select * from t ta left outer join t tb on ta.d = tb.d and ta.a > 1 where tb.c is not null and tb.c = 0 and ifnull(tb.d, 1)",
best: "Join{DataScan(ta)->Selection->DataScan(tb)->Selection}(ta.d,tb.d)->Projection",
},
{
sql: "select * from t ta left outer join t tb on ta.a = tb.a left outer join t tc on tb.b = tc.b where tc.c > 0",
best: "Join{Join{DataScan(ta)->DataScan(tb)}(ta.a,tb.a)->DataScan(tc)->Selection}(tb.b,tc.b)->Projection",
},
{
sql: "select * from t ta left outer join t tb on ta.a = tb.a left outer join t tc on tc.b = ta.b where tb.c > 0",
best: "Join{Join{DataScan(ta)->DataScan(tb)->Selection}(ta.a,tb.a)->DataScan(tc)}(ta.b,tc.b)->Projection",
},
{
sql: "select * from t as ta left outer join (t as tb left join t as tc on tc.b = tb.b) on tb.a = ta.a where tc.c > 0",
best: "Join{DataScan(ta)->Join{DataScan(tb)->DataScan(tc)->Selection}(tb.b,tc.b)}(ta.a,tb.a)->Projection",
},
{
sql: "select * from ( t as ta left outer join t as tb on ta.a = tb.a) join ( t as tc left join t as td on tc.b = td.b) on ta.c = td.c where tb.c = 2 and td.a = 1",
best: "Join{Join{DataScan(ta)->DataScan(tb)->Selection}(ta.a,tb.a)->Join{DataScan(tc)->DataScan(td)->Selection}(tc.b,td.b)}(ta.c,td.c)->Projection",
},
{
sql: "select * from t ta left outer join (t tb left outer join t tc on tc.b = tb.b) on tb.a = ta.a and tc.c = ta.c where tc.d > 0 or ta.d > 0",
best: "Join{DataScan(ta)->Join{DataScan(tb)->DataScan(tc)}(tb.b,tc.b)}(ta.a,tb.a)(ta.c,tc.c)->Selection->Projection",
},
{
sql: "select * from t ta left outer join t tb on ta.d = tb.d and ta.a > 1 where ifnull(tb.d, null) or tb.d is null",
best: "Join{DataScan(ta)->DataScan(tb)}(ta.d,tb.d)->Selection->Projection",
},
{
sql: "select a, d from (select * from t union all select * from t union all select * from t) z where a < 10",
best: "UnionAll{DataScan(t)->Selection->Projection->DataScan(t)->Selection->Projection->DataScan(t)->Selection->Projection}->Projection",
},
{
sql: "select (select count(*) from t where t.a = k.a) from t k",
best: "Apply{DataScan(k)->DataScan(t)->Selection->Aggr(count(1))->Projection->MaxOneRow}->Projection",
},
{
sql: "select a from t where exists(select 1 from t as x where x.a < t.a)",
best: "Join{DataScan(t)->DataScan(x)}->Projection",
},
{
sql: "select a from t where exists(select 1 from t as x where x.a = t.a and t.a < 1 and x.a < 1)",
best: "Join{DataScan(t)->Selection->DataScan(x)->Selection}(test.t.a,x.a)->Projection",
},
{
sql: "select a from t where exists(select 1 from t as x where x.a = t.a and x.a < 1) and a < 1",
best: "Join{DataScan(t)->Selection->DataScan(x)->Selection}(test.t.a,x.a)->Projection",
},
{
sql: "select a from t where exists(select 1 from t as x where x.a = t.a) and exists(select 1 from t as x where x.a = t.a)",
best: "Join{Join{DataScan(t)->DataScan(x)}(test.t.a,x.a)->DataScan(x)}(test.t.a,x.a)->Projection",
},
{
sql: "select * from (select a, b, sum(c) as s from t group by a, b) k where k.a > k.b * 2 + 1",
best: "DataScan(t)->Selection->Aggr(sum(test.t.c),firstrow(test.t.a),firstrow(test.t.b))->Projection->Projection",
},
{
sql: "select * from (select a, b, sum(c) as s from t group by a, b) k where k.a > 1 and k.b > 2",
best: "DataScan(t)->Selection->Aggr(sum(test.t.c),firstrow(test.t.a),firstrow(test.t.b))->Projection->Projection",
},
{
sql: "select * from (select k.a, sum(k.s) as ss from (select a, sum(b) as s from t group by a) k group by k.a) l where l.a > 2",
best: "DataScan(t)->Selection->Aggr(sum(test.t.b),firstrow(test.t.a))->Projection->Aggr(sum(k.s),firstrow(k.a))->Projection->Projection",
},
{
sql: "select * from (select a, sum(b) as s from t group by a) k where a > s",
best: "DataScan(t)->Aggr(sum(test.t.b),firstrow(test.t.a))->Selection->Projection->Projection",
},
{
sql: "select * from (select a, sum(b) as s from t group by a + 1) k where a > 1",
best: "DataScan(t)->Aggr(sum(test.t.b),firstrow(test.t.a))->Selection->Projection->Projection",
},
{
sql: "select * from (select a, sum(b) as s from t group by a having 1 = 0) k where a > 1",
best: "DataScan(t)->Selection->Aggr(sum(test.t.b),firstrow(test.t.a))->Selection->Projection->Projection",
},
{
sql: "select a, count(a) cnt from t group by a having cnt < 1",
best: "DataScan(t)->Aggr(count(test.t.a),firstrow(test.t.a))->Selection->Projection",
},
}
for _, ca := range tests {
comment := Commentf("for %s", ca.sql)
stmt, err := s.ParseOneStmt(ca.sql, "", "")
c.Assert(err, IsNil, comment)
is, err := MockResolve(stmt)
c.Assert(err, IsNil, comment)
builder := &planBuilder{
allocator: new(idAllocator),
ctx: mockContext(),
is: is,
colMapper: make(map[*ast.ColumnNameExpr]int),
}
p := builder.build(stmt)
c.Assert(builder.err, IsNil, comment)
c.Assert(builder.optFlag&flagPredicatePushDown, Greater, uint64(0))
p, err = logicalOptimize(flagPredicatePushDown|flagDecorrelate|flagPrunColumns, p.(LogicalPlan), builder.ctx, builder.allocator)
c.Assert(err, IsNil)
c.Assert(ToString(p), Equals, ca.best, Commentf("for %s", ca.sql))
}
}
func (s *testPlanSuite) TestPlanBuilder(c *C) {
defer testleak.AfterTest(c)()
tests := []struct {
sql string
plan string
}{
{
// This will be resolved as in sub query.
sql: "select * from t where 10 in (select b from t s where s.a = t.a)",
plan: "Join{DataScan(t)->DataScan(s)}(test.t.a,s.a)->Projection",
},
{
sql: "select count(c) ,(select b from t s where s.a = t.a) from t",
plan: "Join{DataScan(t)->Aggr(count(test.t.c),firstrow(test.t.a))->DataScan(s)}(test.t.a,s.a)->Projection->Projection",
},
{
sql: "select count(c) ,(select count(s.b) from t s where s.a = t.a) from t",
plan: "Join{DataScan(t)->Aggr(count(test.t.c),firstrow(test.t.a))->DataScan(s)}(test.t.a,s.a)->Aggr(firstrow(aggregation_2_col_0),firstrow(test.t.a),count(s.b))->Projection->Projection",
},
{
// Semi-join with agg cannot decorrelate.
sql: "select t.c in (select count(s.b) from t s where s.a = t.a) from t",
plan: "Apply{DataScan(t)->DataScan(s)->Selection->Aggr(count(s.b))}->Projection",
},
{
// Theta-join with agg cannot decorrelate.
sql: "select (select count(s.b) k from t s where s.a = t.a having k != 0) from t",
plan: "Apply{DataScan(t)->DataScan(s)->Selection->Aggr(count(s.b))}->Projection->Projection",
},
{
// Relation without keys cannot decorrelate.
sql: "select (select count(s.b) k from t s where s.a = t1.a) from t t1, t t2",
plan: "Apply{Join{DataScan(t1)->DataScan(t2)}->DataScan(s)->Selection->Aggr(count(s.b))}->Projection->Projection",
},
{
// Aggregate function like count(1) cannot decorrelate.
sql: "select (select count(1) k from t s where s.a = t.a having k != 0) from t",
plan: "Apply{DataScan(t)->DataScan(s)->Selection->Aggr(count(1))}->Projection->Projection",
},
{
sql: "select a from t where a in (select a from t s group by t.b)",
plan: "Join{DataScan(t)->DataScan(s)->Aggr(firstrow(s.a))->Projection}(test.t.a,a)->Projection",
},
{
// This will be resolved as in sub query.
sql: "select * from t where 10 in (((select b from t s where s.a = t.a)))",
plan: "Join{DataScan(t)->DataScan(s)}(test.t.a,s.a)->Projection",
},
{
// This will be resolved as in function.
sql: "select * from t where 10 in (((select b from t s where s.a = t.a)), 10)",
plan: "Join{DataScan(t)->DataScan(s)}(test.t.a,s.a)->Projection->Selection->Projection",
},
{
sql: "select * from t where exists (select s.a from t s having sum(s.a) = t.a )",
plan: "Join{DataScan(t)->DataScan(s)->Aggr(sum(s.a))->Projection}(test.t.a,sel_agg_1)->Projection",
},
{
// Test Nested sub query.
sql: "select * from t where exists (select s.a from t s where s.c in (select c from t as k where k.d = s.d) having sum(s.a) = t.a )",
plan: "Join{DataScan(t)->Join{DataScan(s)->DataScan(k)}(s.d,k.d)(s.c,k.c)->Aggr(sum(s.a))->Projection}(test.t.a,sel_agg_1)->Projection",
},
{
sql: "select * from t for update",
plan: "DataScan(t)->Lock->Projection",
},
{
sql: "update t set t.a = t.a * 1.5 where t.a >= 1000 order by t.a desc limit 10",
plan: "DataScan(t)->Selection->Sort->Limit->*plan.Update",
},
{
sql: "delete from t where t.a >= 1000 order by t.a desc limit 10",
plan: "DataScan(t)->Selection->Sort->Limit->*plan.Delete",
},
{
sql: "explain select * from t union all select * from t limit 1, 1",
plan: "UnionAll{Table(t)->Table(t)->Limit}->*plan.Explain",
},
{
sql: "insert into t select * from t",
plan: "DataScan(t)->Projection->*plan.Insert",
},
{
sql: "show columns from t where `Key` = 'pri' like 't*'",
plan: "*plan.Show->Selection",
},
{
sql: "do sleep(5)",
plan: "Dual->Projection",
},
{
sql: "select substr(\"abc\", 1)",
plan: "Dual->Projection",
},
{
sql: "analyze table t, t",
plan: "*plan.Analyze",
},
}
for _, ca := range tests {
comment := Commentf("for %s", ca.sql)
stmt, err := s.ParseOneStmt(ca.sql, "", "")
c.Assert(err, IsNil, comment)
is, err := MockResolve(stmt)
c.Assert(err, IsNil)
builder := &planBuilder{
allocator: new(idAllocator),
ctx: mockContext(),
colMapper: make(map[*ast.ColumnNameExpr]int),
is: is,
}
p := builder.build(stmt)
if lp, ok := p.(LogicalPlan); ok {
p, err = logicalOptimize(flagBuildKeyInfo|flagDecorrelate|flagPrunColumns, lp.(LogicalPlan), builder.ctx, builder.allocator)
}
c.Assert(builder.err, IsNil)
c.Assert(ToString(p), Equals, ca.plan, Commentf("for %s", ca.sql))
}
}
func (s *testPlanSuite) TestJoinReOrder(c *C) {
defer testleak.AfterTest(c)()
tests := []struct {
sql string
best string
}{
{
sql: "select * from t t1, t t2, t t3, t t4, t t5, t t6 where t1.a = t2.b and t2.a = t3.b and t3.c = t4.a and t4.d = t2.c and t5.d = t6.d",
best: "Join{Join{Join{Join{DataScan(t1)->DataScan(t2)}(t1.a,t2.b)->DataScan(t3)}(t2.a,t3.b)->DataScan(t4)}(t3.c,t4.a)(t2.c,t4.d)->Join{DataScan(t5)->DataScan(t6)}(t5.d,t6.d)}->Projection",
},
{
sql: "select * from t t1, t t2, t t3, t t4, t t5, t t6, t t7, t t8 where t1.a = t8.a",
best: "Join{Join{Join{Join{DataScan(t1)->DataScan(t8)}(t1.a,t8.a)->DataScan(t2)}->Join{DataScan(t3)->DataScan(t4)}}->Join{Join{DataScan(t5)->DataScan(t6)}->DataScan(t7)}}->Projection",
},
{
sql: "select * from t t1, t t2, t t3, t t4, t t5 where t1.a = t5.a and t5.a = t4.a and t4.a = t3.a and t3.a = t2.a and t2.a = t1.a and t1.a = t3.a and t2.a = t4.a and t5.b < 8",
best: "Join{Join{Join{Join{DataScan(t5)->Selection->DataScan(t1)}(t5.a,t1.a)->DataScan(t2)}(t1.a,t2.a)->DataScan(t3)}(t2.a,t3.a)(t1.a,t3.a)->DataScan(t4)}(t5.a,t4.a)(t3.a,t4.a)(t2.a,t4.a)->Projection",
},
{
sql: "select * from t t1, t t2, t t3, t t4, t t5 where t1.a = t5.a and t5.a = t4.a and t4.a = t3.a and t3.a = t2.a and t2.a = t1.a and t1.a = t3.a and t2.a = t4.a and t3.b = 1 and t4.a = 1",
best: "Join{Join{Join{Join{DataScan(t3)->Selection->DataScan(t4)->Selection}->DataScan(t5)->Selection}->DataScan(t1)->Selection}->DataScan(t2)->Selection}->Projection",
},
{
sql: "select * from t o where o.b in (select t3.c from t t1, t t2, t t3 where t1.a = t3.a and t2.a = t3.a and t2.a = o.a)",
best: "Apply{DataScan(o)->Join{Join{DataScan(t2)->Selection->DataScan(t3)}(t2.a,t3.a)->DataScan(t1)}(t3.a,t1.a)->Projection}->Projection",
},
{
sql: "select * from t o where o.b in (select t3.c from t t1, t t2, t t3 where t1.a = t3.a and t2.a = t3.a and t2.a = o.a and t1.a = 1)",
best: "Apply{DataScan(o)->Join{Join{DataScan(t1)->Selection->DataScan(t3)->Selection}->DataScan(t2)->Selection}->Projection}->Projection",
},
}
for _, tt := range tests {
comment := Commentf("for %s", tt.sql)
stmt, err := s.ParseOneStmt(tt.sql, "", "")
c.Assert(err, IsNil, comment)
is, err := MockResolve(stmt)
c.Assert(err, IsNil)
builder := &planBuilder{
allocator: new(idAllocator),
ctx: mockContext(),
colMapper: make(map[*ast.ColumnNameExpr]int),
is: is,
}
p := builder.build(stmt)
c.Assert(builder.err, IsNil)
lp := p.(LogicalPlan)
p, err = logicalOptimize(flagPredicatePushDown, lp.(LogicalPlan), builder.ctx, builder.allocator)
c.Assert(err, IsNil)
c.Assert(ToString(lp), Equals, tt.best, Commentf("for %s", tt.sql))
}
}
func (s *testPlanSuite) TestAggPushDown(c *C) {
defer testleak.AfterTest(c)()
tests := []struct {
sql string
best string
}{
{
sql: "select sum(t.a), sum(t.a+1), sum(t.a), count(t.a), sum(t.a) + count(t.a) from t",
best: "DataScan(t)->Aggr(sum(test.t.a),sum(plus(test.t.a, 1)),count(test.t.a))->Projection",
},
{
sql: "select sum(t.a + t.b), sum(t.a + t.c), sum(t.a + t.b), count(t.a) from t having sum(t.a + t.b) > 0 order by sum(t.a + t.c)",
best: "DataScan(t)->Aggr(sum(plus(test.t.a, test.t.b)),sum(plus(test.t.a, test.t.c)),count(test.t.a))->Selection->Projection->Sort->Projection",
},
{
sql: "select sum(a.a) from t a, t b where a.c = b.c",
best: "Join{DataScan(a)->Aggr(sum(a.a),firstrow(a.c))->DataScan(b)}(a.c,b.c)->Aggr(sum(join_agg_0))->Projection",
},
{
sql: "select sum(b.a) from t a, t b where a.c = b.c",
best: "Join{DataScan(a)->DataScan(b)->Aggr(sum(b.a),firstrow(b.c))}(a.c,b.c)->Aggr(sum(join_agg_0))->Projection",
},
{
sql: "select sum(b.a), a.a from t a, t b where a.c = b.c",
best: "Join{DataScan(a)->DataScan(b)->Aggr(sum(b.a),firstrow(b.c))}(a.c,b.c)->Aggr(sum(join_agg_0),firstrow(a.a))->Projection",
},
{
sql: "select sum(a.a), b.a from t a, t b where a.c = b.c",
best: "Join{DataScan(a)->Aggr(sum(a.a),firstrow(a.c))->DataScan(b)}(a.c,b.c)->Aggr(sum(join_agg_0),firstrow(b.a))->Projection",
},
{
sql: "select sum(a.a), sum(b.a) from t a, t b where a.c = b.c",
best: "Join{DataScan(a)->DataScan(b)}(a.c,b.c)->Aggr(sum(a.a),sum(b.a))->Projection",
},
{
sql: "select sum(a.a), max(b.a) from t a, t b where a.c = b.c",
best: "Join{DataScan(a)->Aggr(sum(a.a),firstrow(a.c))->DataScan(b)}(a.c,b.c)->Aggr(sum(join_agg_0),max(b.a))->Projection",
},
{
sql: "select max(a.a), sum(b.a) from t a, t b where a.c = b.c",
best: "Join{DataScan(a)->DataScan(b)->Aggr(sum(b.a),firstrow(b.c))}(a.c,b.c)->Aggr(max(a.a),sum(join_agg_0))->Projection",
},
{
sql: "select sum(a.a) from t a, t b, t c where a.c = b.c and b.c = c.c",
best: "Join{Join{DataScan(a)->DataScan(b)}(a.c,b.c)->DataScan(c)}(b.c,c.c)->Aggr(sum(a.a))->Projection",
},
{
sql: "select sum(b.a) from t a left join t b on a.c = b.c",
best: "Join{DataScan(a)->DataScan(b)->Aggr(sum(b.a),firstrow(b.c))}(a.c,b.c)->Aggr(sum(join_agg_0))->Projection",
},
{
sql: "select sum(a.a) from t a left join t b on a.c = b.c",
best: "Join{DataScan(a)->Aggr(sum(a.a),firstrow(a.c))->DataScan(b)}(a.c,b.c)->Aggr(sum(join_agg_0))->Projection",
},
{
sql: "select sum(a.a) from t a right join t b on a.c = b.c",
best: "Join{DataScan(a)->Aggr(sum(a.a),firstrow(a.c))->DataScan(b)}(a.c,b.c)->Aggr(sum(join_agg_0))->Projection",
},
{
sql: "select sum(a) from (select * from t) x",
best: "DataScan(t)->Aggr(sum(test.t.a))->Projection",
},
{
sql: "select sum(c1) from (select c c1, d c2 from t a union all select a c1, b c2 from t b union all select b c1, e c2 from t c) x group by c2",
best: "UnionAll{DataScan(a)->Aggr(sum(a.c),firstrow(a.d))->DataScan(b)->Aggr(sum(b.a),firstrow(b.b))->DataScan(c)->Aggr(sum(c.b),firstrow(c.e))}->Aggr(sum(join_agg_0))->Projection",
},
{
sql: "select max(a.b), max(b.b) from t a join t b on a.c = b.c group by a.a",
best: "Join{DataScan(a)->DataScan(b)->Aggr(max(b.b),firstrow(b.c))}(a.c,b.c)->Projection->Projection",
},
{
sql: "select max(a.b), max(b.b) from t a join t b on a.a = b.a group by a.c",
best: "Join{DataScan(a)->DataScan(b)}(a.a,b.a)->Aggr(max(a.b),max(b.b))->Projection",
},
{
sql: "select max(c.b) from (select * from t a union all select * from t b) c group by c.a",
best: "UnionAll{DataScan(a)->Projection->Projection->DataScan(b)->Projection->Projection}->Aggr(max(join_agg_0))->Projection",
},
{
sql: "select max(a.c) from t a join t b on a.a=b.a and a.b=b.b group by a.b",
best: "Join{DataScan(a)->DataScan(b)}(a.a,b.a)(a.b,b.b)->Aggr(max(a.c))->Projection",
},
}
for _, tt := range tests {
comment := Commentf("for %s", tt.sql)
stmt, err := s.ParseOneStmt(tt.sql, "", "")
c.Assert(err, IsNil, comment)
is, err := MockResolve(stmt)
c.Assert(err, IsNil)
builder := &planBuilder{
allocator: new(idAllocator),
ctx: mockContext(),
colMapper: make(map[*ast.ColumnNameExpr]int),
is: is,
}
p := builder.build(stmt)
c.Assert(builder.err, IsNil)
lp := p.(LogicalPlan)
p, err = logicalOptimize(flagBuildKeyInfo|flagPredicatePushDown|flagPrunColumns|flagAggregationOptimize, lp.(LogicalPlan), builder.ctx, builder.allocator)
lp.ResolveIndicesAndCorCols()
c.Assert(err, IsNil)
c.Assert(ToString(lp), Equals, tt.best, Commentf("for %s", tt.sql))
}
}
func (s *testPlanSuite) TestRefine(c *C) {
defer testleak.AfterTest(c)()
tests := []struct {
sql string
best string
}{
{
sql: "select a from t where c is not null",
best: "Table(t)->Projection",
},
{
sql: "select a from t where c >= 4",
best: "Index(t.c_d_e)[[4,+inf]]->Projection",
},
{
sql: "select a from t where c <= 4",
best: "Index(t.c_d_e)[[-inf,4]]->Projection",
},
{
sql: "select a from t where c = 4 and d = 5 and e = 6",
best: "Index(t.c_d_e)[[4 5 6,4 5 6]]->Projection",
},
{
sql: "select a from t where d = 4 and c = 5",
best: "Index(t.c_d_e)[[5 4,5 4]]->Projection",
},
{
sql: "select a from t where c = 4 and e < 5",
best: "Index(t.c_d_e)[[4,4]]->Projection",
},
{
sql: "select a from t where c = 4 and d <= 5 and d > 3",
best: "Index(t.c_d_e)[(4 3 +inf,4 5 +inf]]->Projection",
},
{
sql: "select a from t where d <= 5 and d > 3",
best: "Table(t)->Projection",
},
{
sql: "select a from t where c between 1 and 2",
best: "Index(t.c_d_e)[[1,2]]->Projection",
},
{
sql: "select a from t where c not between 1 and 2",
best: "Index(t.c_d_e)[[-inf <nil>,1 <nil>) (2 +inf,+inf +inf]]->Projection",
},
{
sql: "select a from t where c <= 5 and c >= 3 and d = 1",
best: "Index(t.c_d_e)[[3,5]]->Projection",
},
{
sql: "select a from t where c = 1 or c = 2 or c = 3",
best: "Index(t.c_d_e)[[1,1] [2,2] [3,3]]->Projection",
},
{
sql: "select b from t where c = 1 or c = 2 or c = 3 or c = 4 or c = 5",
best: "Index(t.c_d_e)[[1,1] [2,2] [3,3] [4,4] [5,5]]->Projection",
},
{
sql: "select a from t where c = 5",
best: "Index(t.c_d_e)[[5,5]]->Projection",
},
{
sql: "select a from t where c = 5 and b = 1",
best: "Index(t.c_d_e)[[5,5]]->Projection",
},
{
sql: "select a from t where not a",
best: "Table(t)->Projection",
},
{
sql: "select a from t where c in (1)",
best: "Index(t.c_d_e)[[1,1]]->Projection",
},
{
sql: "select a from t where c in (1) and d > 3",
best: "Index(t.c_d_e)[(1 3 +inf,1 +inf +inf]]->Projection",
},
{
sql: "select a from t where c in (1, 2, 3) and (d > 3 and d < 4 or d > 5 and d < 6)",
best: "Index(t.c_d_e)[(1 3 +inf,1 4 <nil>) (1 5 +inf,1 6 <nil>) (2 3 +inf,2 4 <nil>) (2 5 +inf,2 6 <nil>) (3 3 +inf,3 4 <nil>) (3 5 +inf,3 6 <nil>)]->Projection",
},
{
sql: "select a from t where c in (1, 2, 3)",
best: "Index(t.c_d_e)[[1,1] [2,2] [3,3]]->Projection",
},
{
sql: "select a from t where c in (1, 2, 3) and d in (1,2) and e = 1",
best: "Index(t.c_d_e)[[1 1 1,1 1 1] [1 2 1,1 2 1] [2 1 1,2 1 1] [2 2 1,2 2 1] [3 1 1,3 1 1] [3 2 1,3 2 1]]->Projection",
},
{
sql: "select a from t where d in (1, 2, 3)",
best: "Table(t)->Projection",
},
{
sql: "select a from t where c not in (1)",
best: "Table(t)->Projection",
},
{
sql: "select a from t use index(c_d_e) where c != 1",
best: "Index(t.c_d_e)[[-inf <nil>,1 <nil>) (1 +inf,+inf +inf]]->Projection",
},
{
sql: "select a from t where c_str like ''",
best: "Index(t.c_d_e_str)[[,]]->Projection",
},
{
sql: "select a from t where c_str like 'abc'",
best: "Index(t.c_d_e_str)[[abc,abc]]->Projection",
},
{
sql: "select a from t where c_str not like 'abc'",
best: "Table(t)->Projection",
},
{
sql: "select a from t where not (c_str like 'abc' or c_str like 'abd')",
best: "Table(t)->Projection",
},
{
sql: "select a from t where c_str like '_abc'",
best: "Table(t)->Selection->Projection",
},
{
sql: "select a from t where c_str like 'abc%'",
best: "Index(t.c_d_e_str)[[abc <nil>,abd <nil>)]->Projection",
},
{
sql: "select a from t where c_str like 'abc_'",
best: "Index(t.c_d_e_str)[(abc +inf,abd <nil>)]->Selection->Projection",
},
{
sql: "select a from t where c_str like 'abc%af'",
best: "Index(t.c_d_e_str)[[abc <nil>,abd <nil>)]->Selection->Projection",
},
{
sql: `select a from t where c_str like 'abc\\_' escape ''`,
best: "Index(t.c_d_e_str)[[abc_,abc_]]->Projection",
},
{
sql: `select a from t where c_str like 'abc\\_'`,
best: "Index(t.c_d_e_str)[[abc_,abc_]]->Projection",
},
{
sql: `select a from t where c_str like 'abc\\\\_'`,
best: "Index(t.c_d_e_str)[(abc\\ +inf,abc] <nil>)]->Selection->Projection",
},
{
sql: `select a from t where c_str like 'abc\\_%'`,
best: "Index(t.c_d_e_str)[[abc_ <nil>,abc` <nil>)]->Projection",
},
{
sql: `select a from t where c_str like 'abc=_%' escape '='`,
best: "Index(t.c_d_e_str)[[abc_ <nil>,abc` <nil>)]->Projection",
},
{
sql: `select a from t where c_str like 'abc\\__'`,
best: "Index(t.c_d_e_str)[(abc_ +inf,abc` <nil>)]->Selection->Projection",
},
{
// Check that 123 is converted to string '123'. index can be used.
sql: `select a from t where c_str like 123`,