70 lines
2.2 KiB
Go
70 lines
2.2 KiB
Go
// Copyright 2023 PingCAP, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package testutil
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import (
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"fmt"
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"github.com/pingcap/tidb/pkg/expression"
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"github.com/pingcap/tidb/pkg/parser/ast"
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"github.com/pingcap/tidb/pkg/parser/mysql"
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"github.com/pingcap/tidb/pkg/sessionctx"
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"github.com/pingcap/tidb/pkg/sessionctx/vardef"
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"github.com/pingcap/tidb/pkg/types"
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)
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// AggTestCase has a fixed schema (aggCol Double, groupBy LongLong).
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type AggTestCase struct {
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Ctx sessionctx.Context
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ExecType string
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AggFunc string
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GroupByNDV int
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Rows int
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Concurrency int
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DataSourceSorted bool
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HasDistinct bool
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}
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// Columns creates columns
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func (AggTestCase) Columns() []*expression.Column {
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return []*expression.Column{
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{Index: 0, RetType: types.NewFieldType(mysql.TypeDouble)},
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{Index: 1, RetType: types.NewFieldType(mysql.TypeLonglong)},
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}
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}
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// String gets case content
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func (a AggTestCase) String() string {
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return fmt.Sprintf("(execType:%v, aggFunc:%v, ndv:%v, hasDistinct:%v, rows:%v, concurrency:%v, sorted:%v)",
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a.ExecType, a.AggFunc, a.GroupByNDV, a.HasDistinct, a.Rows, a.Concurrency, a.DataSourceSorted)
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}
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// DefaultAggTestCase returns default agg test case
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func DefaultAggTestCase(ctx sessionctx.Context, exec string) *AggTestCase {
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ctx.GetSessionVars().InitChunkSize = vardef.DefInitChunkSize
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ctx.GetSessionVars().MaxChunkSize = vardef.DefMaxChunkSize
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// return &AggTestCase{exec, ast.AggFuncSum, 1000, false, 10000000, 4, true, ctx}
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return &AggTestCase{
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ExecType: exec,
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AggFunc: ast.AggFuncSum,
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GroupByNDV: 1000,
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HasDistinct: false,
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Rows: 10000000,
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Concurrency: 4,
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DataSourceSorted: true,
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Ctx: ctx,
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}
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}
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