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iterator_plan_test.go
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iterator_plan_test.go
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/*
Copyright 2022 Huawei Cloud Computing Technologies Co., Ltd.
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,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package engine
// Run single case for Table Test Suite:
// go test -v -run Test_PreAggregation_FullData_SingleCal\/select_min.*?float\]$
// go test -v -run Test_PreAggregation_FullData_SingleCal\/select_min.*?int\]_with_time_range
import (
"context"
"fmt"
"math"
"strings"
"testing"
"time"
ast "github.com/influxdata/influxdb/pkg/testing/assert"
"github.com/openGemini/openGemini/engine/comm"
"github.com/openGemini/openGemini/engine/executor"
"github.com/openGemini/openGemini/engine/hybridqp"
"github.com/openGemini/openGemini/engine/immutable"
"github.com/openGemini/openGemini/engine/index/tsi"
"github.com/openGemini/openGemini/engine/mutable"
"github.com/openGemini/openGemini/lib/config"
"github.com/openGemini/openGemini/lib/logger"
"github.com/openGemini/openGemini/lib/record"
"github.com/openGemini/openGemini/lib/resourceallocator"
"github.com/openGemini/openGemini/lib/util"
"github.com/openGemini/openGemini/lib/util/lifted/influx/influxql"
"github.com/openGemini/openGemini/lib/util/lifted/influx/query"
"github.com/openGemini/openGemini/lib/util/lifted/vm/protoparser/influx"
"github.com/stretchr/testify/require"
)
func init() {
immutable.EnableMergeOutOfOrder = false
logger.InitLogger(config.NewLogger(config.AppStore))
_ = resourceallocator.InitResAllocator(math.MaxInt64, 1, 1, resourceallocator.GradientDesc, resourceallocator.ChunkReaderRes, 0, 0)
_ = resourceallocator.InitResAllocator(math.MaxInt64, 1, 1, resourceallocator.GradientDesc, resourceallocator.ShardsParallelismRes, 0, 0)
_ = resourceallocator.InitResAllocator(math.MaxInt64, 1, 1, resourceallocator.GradientDesc, resourceallocator.SeriesParallelismRes, 0, 0)
}
func RemoveTimeCondition(stmt *influxql.SelectStatement) influxql.TimeRange {
valuer := &influxql.NowValuer{Location: stmt.Location}
condition, timeRange, _ := influxql.ConditionExpr(stmt.Condition, valuer)
stmt.Condition = condition
return timeRange
}
func Test_PreAggregation_FullData_SingleCall(t *testing.T) {
testDir := t.TempDir()
executor.RegistryTransformCreator(&executor.LogicalReader{}, &ChunkReader{})
msNames := []string{"cpu"}
startTime := mustParseTime(time.RFC3339Nano, "2021-01-01T01:00:00Z")
//pts, minT, maxT := GenDataRecord_FullFields(msNames, 5, 10000, time.Millisecond*10, startTime)
pts, minT, maxT := GenDataRecord(msNames, 5, 10000, time.Millisecond*10, startTime, true, false, true)
fields := map[string]influxql.DataType{
"field2_int": influxql.Integer,
"field3_bool": influxql.Boolean,
"field4_float": influxql.Float,
"field1_string": influxql.String,
}
// **** start write data to the shard.
sh, _ := createShard("db0", "rp0", 1, testDir, config.TSSTORE)
defer sh.Close()
defer sh.indexBuilder.Close()
if err := sh.WriteRows(pts, nil); err != nil {
t.Fatal(err)
}
sh.ForceFlush()
time.Sleep(time.Second * 1)
shardGroup := &mockShardGroup{
sh: sh,
Fields: fields,
}
// end ****
enableStates := []bool{true, false}
for _, v := range enableStates {
executor.EnableFileCursor(v)
for _, tt := range []struct {
name string
q string
tr util.TimeRange
fields map[string]influxql.DataType
skip bool
outputRowDataType *hybridqp.RowDataTypeImpl
readerOps []hybridqp.ExprOptions
aggOps []hybridqp.ExprOptions
expect func(chunks []executor.Chunk) bool
}{
/* min */
// select min[int]
{
name: "select min[int]",
q: fmt.Sprintf(`SELECT min(field2_int) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], mustParseTime(time.RFC3339Nano, "2021-01-01T01:00:00Z").UnixNano()) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(1)) && success
return success
},
// skip: true,
},
// select min[int] with time range
{
name: "select min[int] with time range",
q: fmt.Sprintf(`SELECT min(field2_int) from cpu WHERE time>=%v AND time<=%v`, minT, maxT),
tr: util.TimeRange{Min: minT, Max: maxT},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], mustParseTime(time.RFC3339Nano, "2021-01-01T01:00:00Z").UnixNano()) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(1)) && success
return success
},
// skip: true,
},
// select min[float]
{
name: "select min[float]",
q: fmt.Sprintf(`SELECT min(field4_float) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val4", Type: influxql.Float},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "field4_float", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "val4", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], mustParseTime(time.RFC3339Nano, "2021-01-01T01:00:00Z").UnixNano()) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).FloatValue(0), 1.1) && success
return success
},
// skip: true,
},
// select min[float] with time range
{
name: "select min[float] with time range",
q: fmt.Sprintf(`SELECT min(field4_float) from cpu WHERE time>=%v AND time<=%v`, minT, maxT),
tr: util.TimeRange{Min: minT, Max: maxT},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val4", Type: influxql.Float},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "field4_float", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "val4", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], mustParseTime(time.RFC3339Nano, "2021-01-01T01:00:00Z").UnixNano()) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).FloatValue(0), 1.1) && success
return success
},
// skip: true,
},
// select min[int] with aux and time range
{
name: "select min[int] with aux and time range",
q: fmt.Sprintf(`SELECT min(field2_int),field3_bool, field4_float, field1_string from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*15, maxT),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*15, Max: maxT},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
influxql.VarRef{Val: "val3", Type: influxql.Boolean},
influxql.VarRef{Val: "val4", Type: influxql.Float},
influxql.VarRef{Val: "val1", Type: influxql.String},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "field3_bool", Type: influxql.Boolean},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
{
Expr: &influxql.VarRef{Val: "field4_float", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "field1_string", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "val3", Type: influxql.Boolean},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
{
Expr: &influxql.VarRef{Val: "val4", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "val1", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], int64(1609462815000000000)) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(1)) && success
//success = ast.Equal(t, ck.Column(1).BooleanValue(0), true) && success
success = ast.Equal(t, ck.Column(2).FloatValue(0), 1.1) && success
success = ast.Equal(t, ck.Column(3).StringValue(0), "test-test-test-test-0") && success
return success
},
// skip: true,
},
// select min[bool]
{
name: "select min[bool]",
q: fmt.Sprintf(`SELECT min(field3_bool) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val3", Type: influxql.Boolean},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "field3_bool", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "val3", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).BooleanValue(0), false) && success
return success
},
// skip: true,
},
// select min[bool] with aux and time range
{
name: "select min[bool] with aux and time range",
q: fmt.Sprintf(`SELECT min(field3_bool),field2_int,field4_float,field1_string from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*15, maxT),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*15, Max: maxT},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val3", Type: influxql.Boolean},
influxql.VarRef{Val: "val2", Type: influxql.Integer},
influxql.VarRef{Val: "val4", Type: influxql.Float},
influxql.VarRef{Val: "val1", Type: influxql.String},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "field3_bool", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
{
Expr: &influxql.VarRef{Val: "field2_int", Type: influxql.Integer},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "field4_float", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "field1_string", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "min", Args: []influxql.Expr{&influxql.VarRef{Val: "val3", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
{
Expr: &influxql.VarRef{Val: "val2", Type: influxql.Integer},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "val4", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "val1", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 4) && success
success = ast.Equal(t, ck.Column(0).BooleanValue(0), false) && success
success = ast.Equal(t, len(ck.Column(1).IntegerValues()), 1) && success
success = ast.Equal(t, len(ck.Column(2).FloatValues()), 1) && success
success = ast.Equal(t, len(ck.Column(3).StringValuesV2(nil)), 1) && success
return success
},
// skip: true,
},
/* max */
// select max[int]
{
name: "select max[int]",
q: fmt.Sprintf(`SELECT max(field2_int) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], int64(1609462800040000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(5)) && success
return success
},
// skip: true,
},
// select max[int] with time range
{
name: "select max[int] with time range",
q: fmt.Sprintf(`SELECT max(field2_int) from cpu WHERE time>=%v AND time<=%v`, minT, maxT-time.Second.Nanoseconds()*30),
tr: util.TimeRange{Min: minT, Max: maxT - time.Second.Nanoseconds()*30},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], int64(1609462800040000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(5)) && success
return success
},
// skip: true,
},
// select max[float]
{
name: "select max[float]",
q: fmt.Sprintf(`SELECT max(field4_float) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val4", Type: influxql.Float},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "field4_float", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "val4", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], int64(1609462800040000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).FloatValue(0), 5.5) && success
return success
},
// skip: true,
},
// select max[float] with time range
{
name: "select max[float] with time range",
q: fmt.Sprintf(`SELECT max(field4_float) from cpu WHERE time>=%v AND time<=%v`, minT, maxT-time.Second.Nanoseconds()*5),
tr: util.TimeRange{Min: minT, Max: maxT},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val4", Type: influxql.Float},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "field4_float", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "val4", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], int64(1609462800040000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).FloatValue(0), 5.5) && success
return success
},
// skip: true,
},
// select max[float] with aux and time range
{
name: "select max[float] with aux and time range",
q: fmt.Sprintf(`SELECT max(field4_float), field2_int, field4_float, field1_string from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*15, maxT-time.Second.Nanoseconds()*15),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*15, Max: maxT - time.Second.Nanoseconds()*15},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
influxql.VarRef{Val: "val3", Type: influxql.Float},
influxql.VarRef{Val: "val4", Type: influxql.Float},
influxql.VarRef{Val: "val1", Type: influxql.String},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.VarRef{Val: "field2_int", Type: influxql.Integer},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "field4_float", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Float},
},
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "field4_float", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "field1_string", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "val4", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "val2", Type: influxql.Integer},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "val3", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "val1", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, ck.Time()[0], int64(1609462815000000000)) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(5)) && success
success = ast.Equal(t, ck.Column(1).FloatValue(0), 5.5) && success
success = ast.Equal(t, ck.Column(2).FloatValue(0), 5.5) && success
success = ast.Equal(t, ck.Column(3).StringValue(0), "test-test-test-test-4") && success
return success
},
// skip: true,
},
// select max[bool]
{
name: "select max[bool]",
q: fmt.Sprintf(`SELECT max(field3_bool) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val3", Type: influxql.Boolean},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "field3_bool", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "val3", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).BooleanValue(0), true) && success
return success
},
// skip: true,
},
// select max[bool] with aux and time range
{
name: "select max[bool] with aux and time range",
q: fmt.Sprintf(`SELECT max(field3_bool),field2_int,field4_float,field1_string from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*15, maxT),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*15, Max: maxT},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val3", Type: influxql.Boolean},
influxql.VarRef{Val: "val2", Type: influxql.Integer},
influxql.VarRef{Val: "val4", Type: influxql.Float},
influxql.VarRef{Val: "val1", Type: influxql.String},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "field3_bool", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
{
Expr: &influxql.VarRef{Val: "field2_int", Type: influxql.Integer},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "field4_float", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "field1_string", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "max", Args: []influxql.Expr{&influxql.VarRef{Val: "val3", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Boolean},
},
{
Expr: &influxql.VarRef{Val: "val2", Type: influxql.Integer},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
{
Expr: &influxql.VarRef{Val: "val4", Type: influxql.Float},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Float},
},
{
Expr: &influxql.VarRef{Val: "val1", Type: influxql.String},
Ref: influxql.VarRef{Val: "val1", Type: influxql.String},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 4) && success
success = ast.Equal(t, ck.Column(0).BooleanValue(0), true) && success
success = ast.Equal(t, len(ck.Column(1).IntegerValues()), 1) && success
success = ast.Equal(t, len(ck.Column(2).FloatValues()), 1) && success
success = ast.Equal(t, len(ck.Column(3).StringValuesV2(nil)), 1) && success
return success
},
// skip: true,
},
/* count */
// select count[int]
{
// count to sum
name: "select count[int]",
q: fmt.Sprintf(`SELECT count(field2_int) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(50000)) && success
return success
},
// skip: true,
},
// select count[bool]
{
name: "select count[bool]",
q: fmt.Sprintf(`SELECT count(field3_bool) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val3", Type: influxql.Integer}, // Be Integer
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field3_bool", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val3", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(50000)) && success
return success
},
// skip: true,
},
// select count[float]
{
name: "select count[float]",
q: fmt.Sprintf(`SELECT count(field4_float) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val4", Type: influxql.Integer}, // Be Integer
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field4_float", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val4", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(50000)) && success
return success
},
// skip: true,
},
// select count[string]
{
name: "select count[string]",
q: fmt.Sprintf(`SELECT count(field1_string) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val1", Type: influxql.Integer}, // Be Integer
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field1_string", Type: influxql.String}}},
Ref: influxql.VarRef{Val: "val1", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val1", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val1", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
//success = ast.Equal(t, ck.Time()[0], int64(1609462800000000000)) && success
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(50000)) && success
return success
},
// skip: true,
},
// select count[int] with time range
{
name: "select count[int] with time range",
q: fmt.Sprintf(`SELECT count(field2_int) from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*30, maxT-time.Second.Nanoseconds()*30),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*30, Max: maxT - time.Second.Nanoseconds()*30},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(20020)) && success
return success
},
// skip: true,
},
// select count[bool] with time range
{
name: "select count[bool] with time range",
q: fmt.Sprintf(`SELECT count(field3_bool) from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*10, maxT-time.Second.Nanoseconds()*10),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*10, Max: maxT - time.Second.Nanoseconds()*10},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val3", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field3_bool", Type: influxql.Boolean}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val3", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val3", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(40020)) && success
return success
},
// skip: true,
},
// select count[float] with time range
{
name: "select count[float] with time range",
q: fmt.Sprintf(`SELECT count(field4_float) from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*20, maxT-time.Second.Nanoseconds()*20),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*20, Max: maxT - time.Second.Nanoseconds()*20},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val4", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field4_float", Type: influxql.Float}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val4", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val4", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(30020)) && success
return success
},
// skip: true,
},
// select count[string] with time range
{
name: "select count[string] with time range",
q: fmt.Sprintf(`SELECT count(field1_string) from cpu WHERE time>=%v AND time<=%v`, minT+time.Second.Nanoseconds()*5, maxT-time.Second.Nanoseconds()*5),
tr: util.TimeRange{Min: minT + time.Second.Nanoseconds()*5, Max: maxT - time.Second.Nanoseconds()*5},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val1", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "count", Args: []influxql.Expr{&influxql.VarRef{Val: "field1_string", Type: influxql.String}}},
Ref: influxql.VarRef{Val: "val1", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val1", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val1", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")
}
ck := chunks[0]
success := true
success = ast.Equal(t, len(ck.Columns()), 1) && success
success = ast.Equal(t, ck.Column(0).IntegerValue(0), int64(45020)) && success
return success
},
// skip: true,
},
/* sum */
// select sum[int]
{
name: "select sum[int]",
q: fmt.Sprintf(`SELECT sum(field2_int) from cpu`),
tr: util.TimeRange{Min: influxql.MinTime, Max: influxql.MaxTime},
fields: fields,
outputRowDataType: hybridqp.NewRowDataTypeImpl(
influxql.VarRef{Val: "val2", Type: influxql.Integer},
),
readerOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "field2_int", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
aggOps: []hybridqp.ExprOptions{
{
Expr: &influxql.Call{Name: "sum", Args: []influxql.Expr{&influxql.VarRef{Val: "val2", Type: influxql.Integer}}},
Ref: influxql.VarRef{Val: "val2", Type: influxql.Integer},
},
},
expect: func(chunks []executor.Chunk) bool {
if len(chunks) != 1 {
t.Errorf("The result should be 1 chunk")