milvus/internal/proxy/task_query_test.go
jaime 18df2ba6fd
[Cherry-Pick] Support Database (#24769)
Support Database(#23742)
Fix db nonexists error for FlushAll (#24222)
Fix check collection limits fails (#24235)
backward compatibility with empty DB name (#24317)
Fix GetFlushAllState with DB (#24347)
Remove db from global meta cache after drop database (#24474)
Fix db name is empty for describe collection response (#24603)
Add RBAC for Database API (#24653)
Fix miss load the same name collection during recover stage (#24941)

RBAC supports Database validation (#23609)
Fix to list grant with db return empty (#23922)
Optimize PrivilegeAll permission check (#23972)
Add the default db value for the rbac request (#24307)

Signed-off-by: jaime <yun.zhang@zilliz.com>
Co-authored-by: SimFG <bang.fu@zilliz.com>
Co-authored-by: longjiquan <jiquan.long@zilliz.com>
2023-06-25 17:20:43 +08:00

916 lines
25 KiB
Go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you 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 proxy
import (
"context"
"fmt"
"strings"
"testing"
"time"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/require"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/internal/proto/querypb"
"github.com/milvus-io/milvus/internal/types"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/util/funcutil"
"github.com/milvus-io/milvus/pkg/util/paramtable"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
func TestQueryTask_all(t *testing.T) {
var (
err error
ctx = context.TODO()
rc = NewRootCoordMock()
qc = types.NewMockQueryCoord(t)
qn = getQueryNode()
shardsNum = common.DefaultShardsNum
collectionName = t.Name() + funcutil.GenRandomStr()
expr = fmt.Sprintf("%s > 0", testInt64Field)
hitNum = 10
)
qn.EXPECT().GetComponentStates(mock.Anything).Return(nil, nil).Maybe()
successStatus := commonpb.Status{ErrorCode: commonpb.ErrorCode_Success}
qc.EXPECT().Start().Return(nil)
qc.EXPECT().Stop().Return(nil)
qc.EXPECT().LoadCollection(mock.Anything, mock.Anything).Return(&successStatus, nil)
qc.EXPECT().GetShardLeaders(mock.Anything, mock.Anything).Return(&querypb.GetShardLeadersResponse{
Status: &successStatus,
Shards: []*querypb.ShardLeadersList{
{
ChannelName: "channel-1",
NodeIds: []int64{1, 2, 3},
NodeAddrs: []string{"localhost:9000", "localhost:9001", "localhost:9002"},
},
},
}, nil).Maybe()
mgr := NewMockShardClientManager(t)
mgr.EXPECT().GetClient(mock.Anything, mock.Anything).Return(qn, nil).Maybe()
mgr.EXPECT().UpdateShardLeaders(mock.Anything, mock.Anything).Return(nil).Maybe()
lb := NewLBPolicyImpl(mgr)
rc.Start()
defer rc.Stop()
qc.Start()
defer qc.Stop()
err = InitMetaCache(ctx, rc, qc, mgr)
assert.NoError(t, err)
fieldName2Types := map[string]schemapb.DataType{
testBoolField: schemapb.DataType_Bool,
testInt32Field: schemapb.DataType_Int32,
testInt64Field: schemapb.DataType_Int64,
testFloatField: schemapb.DataType_Float,
testDoubleField: schemapb.DataType_Double,
testFloatVecField: schemapb.DataType_FloatVector,
}
if enableMultipleVectorFields {
fieldName2Types[testBinaryVecField] = schemapb.DataType_BinaryVector
}
schema := constructCollectionSchemaByDataType(collectionName, fieldName2Types, testInt64Field, false)
marshaledSchema, err := proto.Marshal(schema)
assert.NoError(t, err)
createColT := &createCollectionTask{
Condition: NewTaskCondition(ctx),
CreateCollectionRequest: &milvuspb.CreateCollectionRequest{
CollectionName: collectionName,
Schema: marshaledSchema,
ShardsNum: shardsNum,
},
ctx: ctx,
rootCoord: rc,
}
require.NoError(t, createColT.OnEnqueue())
require.NoError(t, createColT.PreExecute(ctx))
require.NoError(t, createColT.Execute(ctx))
require.NoError(t, createColT.PostExecute(ctx))
collectionID, err := globalMetaCache.GetCollectionID(ctx, GetCurDBNameFromContextOrDefault(ctx), collectionName)
assert.NoError(t, err)
status, err := qc.LoadCollection(ctx, &querypb.LoadCollectionRequest{
Base: &commonpb.MsgBase{
MsgType: commonpb.MsgType_LoadCollection,
SourceID: paramtable.GetNodeID(),
},
CollectionID: collectionID,
})
require.NoError(t, err)
require.Equal(t, commonpb.ErrorCode_Success, status.ErrorCode)
// test begins
task := &queryTask{
Condition: NewTaskCondition(ctx),
RetrieveRequest: &internalpb.RetrieveRequest{
Base: &commonpb.MsgBase{
MsgType: commonpb.MsgType_Retrieve,
SourceID: paramtable.GetNodeID(),
},
CollectionID: collectionID,
OutputFieldsId: make([]int64, len(fieldName2Types)),
},
ctx: ctx,
result: &milvuspb.QueryResults{
Status: &commonpb.Status{
ErrorCode: commonpb.ErrorCode_Success,
},
FieldsData: []*schemapb.FieldData{},
},
request: &milvuspb.QueryRequest{
Base: &commonpb.MsgBase{
MsgType: commonpb.MsgType_Retrieve,
SourceID: paramtable.GetNodeID(),
},
CollectionName: collectionName,
Expr: expr,
QueryParams: []*commonpb.KeyValuePair{
{
Key: IgnoreGrowingKey,
Value: "false",
},
{
Key: IterationExtensionReduceRateKey,
Value: "10",
},
},
},
qc: qc,
lb: lb,
}
assert.NoError(t, task.OnEnqueue())
// test query task with timeout
ctx1, cancel1 := context.WithTimeout(ctx, 10*time.Second)
defer cancel1()
// before preExecute
assert.Equal(t, typeutil.ZeroTimestamp, task.TimeoutTimestamp)
task.ctx = ctx1
assert.NoError(t, task.PreExecute(ctx))
// after preExecute
assert.Greater(t, task.TimeoutTimestamp, typeutil.ZeroTimestamp)
// check iteration extension reduce
assert.Equal(t, int64(10), task.RetrieveRequest.IterationExtensionReduceRate)
task.request.QueryParams = append(task.request.QueryParams, &commonpb.KeyValuePair{
Key: IterationExtensionReduceRateKey,
Value: "10XXX",
})
assert.Error(t, task.PreExecute(ctx))
result1 := &internalpb.RetrieveResults{
Base: &commonpb.MsgBase{MsgType: commonpb.MsgType_RetrieveResult},
Status: &commonpb.Status{
ErrorCode: commonpb.ErrorCode_Success,
},
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{Data: generateInt64Array(hitNum)},
},
},
}
outputFieldIDs := make([]UniqueID, 0, len(fieldName2Types))
for i := 0; i < len(fieldName2Types); i++ {
outputFieldIDs = append(outputFieldIDs, int64(common.StartOfUserFieldID+i))
}
task.RetrieveRequest.OutputFieldsId = outputFieldIDs
for fieldName, dataType := range fieldName2Types {
result1.FieldsData = append(result1.FieldsData, generateFieldData(dataType, fieldName, hitNum))
}
result1.FieldsData = append(result1.FieldsData, generateFieldData(schemapb.DataType_Int64, common.TimeStampFieldName, hitNum))
task.RetrieveRequest.OutputFieldsId = append(task.RetrieveRequest.OutputFieldsId, common.TimeStampField)
task.ctx = ctx
qn.ExpectedCalls = nil
qn.EXPECT().GetComponentStates(mock.Anything).Return(nil, nil).Maybe()
qn.EXPECT().Query(mock.Anything, mock.Anything).Return(nil, errors.New("mock error"))
assert.Error(t, task.Execute(ctx))
qn.ExpectedCalls = nil
qn.EXPECT().GetComponentStates(mock.Anything).Return(nil, nil).Maybe()
qn.EXPECT().Query(mock.Anything, mock.Anything).Return(&internalpb.RetrieveResults{
Status: &commonpb.Status{
ErrorCode: commonpb.ErrorCode_NotShardLeader,
},
}, nil)
err = task.Execute(ctx)
assert.True(t, strings.Contains(err.Error(), errInvalidShardLeaders.Error()))
qn.ExpectedCalls = nil
qn.EXPECT().GetComponentStates(mock.Anything).Return(nil, nil).Maybe()
qn.EXPECT().Query(mock.Anything, mock.Anything).Return(&internalpb.RetrieveResults{
Status: &commonpb.Status{
ErrorCode: commonpb.ErrorCode_UnexpectedError,
},
}, nil)
assert.Error(t, task.Execute(ctx))
qn.ExpectedCalls = nil
qn.EXPECT().GetComponentStates(mock.Anything).Return(nil, nil).Maybe()
qn.EXPECT().Query(mock.Anything, mock.Anything).Return(result1, nil)
assert.NoError(t, task.Execute(ctx))
task.queryParams = &queryParams{
limit: 100,
offset: 100,
}
assert.NoError(t, task.PostExecute(ctx))
for i := 0; i < len(task.result.FieldsData); i++ {
assert.NotEqual(t, task.result.FieldsData[i].FieldId, common.TimeStampField)
}
}
func Test_translateToOutputFieldIDs(t *testing.T) {
type testCases struct {
name string
outputFields []string
schema *schemapb.CollectionSchema
expectedError bool
expectedIDs []int64
}
cases := []testCases{
{
name: "empty output fields",
outputFields: []string{},
schema: &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: common.RowIDField,
Name: common.RowIDFieldName,
},
{
FieldID: 100,
Name: "ID",
IsPrimaryKey: true,
},
{
FieldID: 101,
Name: "Vector",
},
},
},
expectedError: false,
expectedIDs: []int64{100, 101},
},
{
name: "nil output fields",
outputFields: nil,
schema: &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: common.RowIDField,
Name: common.RowIDFieldName,
},
{
FieldID: 100,
Name: "ID",
IsPrimaryKey: true,
},
{
FieldID: 101,
Name: "Vector",
},
},
},
expectedError: false,
expectedIDs: []int64{100, 101},
},
{
name: "full list",
outputFields: []string{"ID", "Vector"},
schema: &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: common.RowIDField,
Name: common.RowIDFieldName,
},
{
FieldID: 100,
Name: "ID",
IsPrimaryKey: true,
},
{
FieldID: 101,
Name: "Vector",
},
},
},
expectedError: false,
expectedIDs: []int64{100, 101},
},
{
name: "vector only",
outputFields: []string{"Vector"},
schema: &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: common.RowIDField,
Name: common.RowIDFieldName,
},
{
FieldID: 100,
Name: "ID",
IsPrimaryKey: true,
},
{
FieldID: 101,
Name: "Vector",
},
},
},
expectedError: false,
expectedIDs: []int64{101, 100},
},
{
name: "with field not exist",
outputFields: []string{"ID", "Vector", "Extra"},
schema: &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: common.RowIDField,
Name: common.RowIDFieldName,
},
{
FieldID: 100,
Name: "ID",
IsPrimaryKey: true,
},
{
FieldID: 101,
Name: "Vector",
},
},
},
expectedError: true,
},
}
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
ids, err := translateToOutputFieldIDs(tc.outputFields, tc.schema)
if tc.expectedError {
assert.Error(t, err)
} else {
assert.NoError(t, err)
require.Equal(t, len(tc.expectedIDs), len(ids))
for idx, expectedID := range tc.expectedIDs {
assert.Equal(t, expectedID, ids[idx])
}
}
})
}
}
func TestTaskQuery_functions(t *testing.T) {
t.Run("test parseQueryParams", func(t *testing.T) {
tests := []struct {
description string
inKey []string
inValue []string
expectErr bool
outLimit int64
outOffset int64
}{
{"empty input", []string{}, []string{}, false, typeutil.Unlimited, 0},
{"valid limit=1", []string{LimitKey}, []string{"1"}, false, 1, 0},
{"valid limit=1, offset=2", []string{LimitKey, OffsetKey}, []string{"1", "2"}, false, 1, 2},
{"valid no limit, offset=2", []string{OffsetKey}, []string{"2"}, false, typeutil.Unlimited, 0},
{"invalid limit str", []string{LimitKey}, []string{"a"}, true, 0, 0},
{"invalid limit zero", []string{LimitKey}, []string{"0"}, true, 0, 0},
{"invalid limit negative", []string{LimitKey}, []string{"-1"}, true, 0, 0},
{"invalid limit 16385", []string{LimitKey}, []string{"16385"}, true, 0, 0},
{"invalid offset negative", []string{LimitKey, OffsetKey}, []string{"1", "-1"}, true, 0, 0},
{"invalid offset 16385", []string{LimitKey, OffsetKey}, []string{"1", "16385"}, true, 0, 0},
{"invalid limit=16384 offset=16384", []string{LimitKey, OffsetKey}, []string{"16384", "16384"}, true, 0, 0},
}
for _, test := range tests {
t.Run(test.description, func(t *testing.T) {
var inParams []*commonpb.KeyValuePair
for i := range test.inKey {
inParams = append(inParams, &commonpb.KeyValuePair{
Key: test.inKey[i],
Value: test.inValue[i],
})
}
ret, err := parseQueryParams(inParams)
if test.expectErr {
assert.Error(t, err)
assert.Empty(t, ret)
} else {
assert.NoError(t, err)
assert.Equal(t, test.outLimit, ret.limit)
assert.Equal(t, test.outOffset, ret.offset)
}
})
}
})
t.Run("test reduceRetrieveResults", func(t *testing.T) {
const (
Dim = 8
Int64FieldName = "Int64Field"
FloatVectorFieldName = "FloatVectorField"
Int64FieldID = common.StartOfUserFieldID + 1
FloatVectorFieldID = common.StartOfUserFieldID + 2
)
Int64Array := []int64{11, 22}
FloatVector := []float32{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 11.0, 22.0, 33.0, 44.0, 55.0, 66.0, 77.0, 88.0}
var fieldDataArray1 []*schemapb.FieldData
fieldDataArray1 = append(fieldDataArray1, getFieldData(Int64FieldName, Int64FieldID, schemapb.DataType_Int64, Int64Array[0:2], 1))
fieldDataArray1 = append(fieldDataArray1, getFieldData(FloatVectorFieldName, FloatVectorFieldID, schemapb.DataType_FloatVector, FloatVector[0:16], Dim))
var fieldDataArray2 []*schemapb.FieldData
fieldDataArray2 = append(fieldDataArray2, getFieldData(Int64FieldName, Int64FieldID, schemapb.DataType_Int64, Int64Array[0:2], 1))
fieldDataArray2 = append(fieldDataArray2, getFieldData(FloatVectorFieldName, FloatVectorFieldID, schemapb.DataType_FloatVector, FloatVector[0:16], Dim))
t.Run("test skip dupPK 2", func(t *testing.T) {
result1 := &internalpb.RetrieveResults{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{0, 1},
},
},
},
FieldsData: fieldDataArray1,
}
result2 := &internalpb.RetrieveResults{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{0, 1},
},
},
},
FieldsData: fieldDataArray2,
}
result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{result1, result2}, nil)
assert.NoError(t, err)
assert.Equal(t, 2, len(result.GetFieldsData()))
assert.Equal(t, Int64Array, result.GetFieldsData()[0].GetScalars().GetLongData().Data)
assert.InDeltaSlice(t, FloatVector, result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10)
})
t.Run("test nil results", func(t *testing.T) {
ret, err := reduceRetrieveResults(context.Background(), nil, nil)
assert.NoError(t, err)
assert.Empty(t, ret.GetFieldsData())
})
t.Run("test merge", func(t *testing.T) {
r1 := &internalpb.RetrieveResults{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{1, 3},
},
},
},
FieldsData: fieldDataArray1,
}
r2 := &internalpb.RetrieveResults{
Ids: &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{2, 4},
},
},
},
FieldsData: fieldDataArray2,
}
resultFloat := []float32{
1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0,
1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0,
11.0, 22.0, 33.0, 44.0, 55.0, 66.0, 77.0, 88.0,
11.0, 22.0, 33.0, 44.0, 55.0, 66.0, 77.0, 88.0}
t.Run("test limited", func(t *testing.T) {
tests := []struct {
description string
limit int64
}{
{"limit 1", 1},
{"limit 2", 2},
{"limit 3", 3},
{"limit 4", 4},
}
resultField0 := []int64{11, 11, 22, 22}
for _, test := range tests {
t.Run(test.description, func(t *testing.T) {
result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{r1, r2}, &queryParams{limit: test.limit})
assert.Equal(t, 2, len(result.GetFieldsData()))
assert.Equal(t, resultField0[0:test.limit], result.GetFieldsData()[0].GetScalars().GetLongData().Data)
assert.InDeltaSlice(t, resultFloat[0:test.limit*Dim], result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10)
assert.NoError(t, err)
})
}
})
t.Run("test offset", func(t *testing.T) {
tests := []struct {
description string
offset int64
}{
{"offset 0", 0},
{"offset 1", 1},
{"offset 2", 2},
{"offset 3", 3},
}
resultField0 := []int64{11, 11, 22, 22}
for _, test := range tests {
t.Run(test.description, func(t *testing.T) {
result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{r1, r2}, &queryParams{limit: 1, offset: test.offset})
assert.NoError(t, err)
assert.Equal(t, 2, len(result.GetFieldsData()))
assert.Equal(t, resultField0[test.offset:test.offset+1], result.GetFieldsData()[0].GetScalars().GetLongData().Data)
assert.InDeltaSlice(t, resultFloat[test.offset*Dim:(test.offset+1)*Dim], result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10)
})
}
})
})
})
}
func getFieldData(fieldName string, fieldID int64, fieldType schemapb.DataType, fieldValue interface{}, dim int64) *schemapb.FieldData {
var fieldData *schemapb.FieldData
switch fieldType {
case schemapb.DataType_Bool:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_Bool,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_BoolData{
BoolData: &schemapb.BoolArray{
Data: fieldValue.([]bool),
},
},
},
},
FieldId: fieldID,
}
case schemapb.DataType_Int32:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_Int32,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: fieldValue.([]int32),
},
},
},
},
FieldId: fieldID,
}
case schemapb.DataType_Int64:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_Int64,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: fieldValue.([]int64),
},
},
},
},
FieldId: fieldID,
}
case schemapb.DataType_Float:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_Float,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_FloatData{
FloatData: &schemapb.FloatArray{
Data: fieldValue.([]float32),
},
},
},
},
FieldId: fieldID,
}
case schemapb.DataType_Double:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_Double,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_DoubleData{
DoubleData: &schemapb.DoubleArray{
Data: fieldValue.([]float64),
},
},
},
},
FieldId: fieldID,
}
case schemapb.DataType_VarChar:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_VarChar,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: fieldValue.([]string),
},
},
},
},
FieldId: fieldID,
}
case schemapb.DataType_BinaryVector:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_BinaryVector,
FieldName: fieldName,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Dim: dim,
Data: &schemapb.VectorField_BinaryVector{
BinaryVector: fieldValue.([]byte),
},
},
},
FieldId: fieldID,
}
case schemapb.DataType_FloatVector:
fieldData = &schemapb.FieldData{
Type: schemapb.DataType_FloatVector,
FieldName: fieldName,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Dim: dim,
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: fieldValue.([]float32),
},
},
},
},
FieldId: fieldID,
}
default:
log.Warn("not supported field type", zap.String("fieldType", fieldType.String()))
}
return fieldData
}
func Test_filterSystemFields(t *testing.T) {
outputFieldIDs := []UniqueID{common.RowIDField, common.TimeStampField, common.StartOfUserFieldID}
filtered := filterSystemFields(outputFieldIDs)
assert.ElementsMatch(t, []UniqueID{common.StartOfUserFieldID}, filtered)
}
func Test_matchCountRule(t *testing.T) {
type args struct {
outputs []string
}
tests := []struct {
name string
args args
want bool
}{
{
args: args{
outputs: nil,
},
want: false,
},
{
args: args{
outputs: []string{"count(*)", "count(*)"},
},
want: false,
},
{
args: args{
outputs: []string{"not count(*)"},
},
want: false,
},
{
args: args{
outputs: []string{"count(*)"},
},
want: true,
},
{
args: args{
outputs: []string{"COUNT(*)"},
},
want: true,
},
{
args: args{
outputs: []string{" count(*)"},
},
want: true,
},
{
args: args{
outputs: []string{" COUNT(*)"},
},
want: true,
},
{
args: args{
outputs: []string{"count(*) "},
},
want: true,
},
{
args: args{
outputs: []string{"COUNT(*) "},
},
want: true,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
assert.Equalf(t, tt.want, matchCountRule(tt.args.outputs), "matchCountRule(%v)", tt.args.outputs)
})
}
}
func Test_createCntPlan(t *testing.T) {
t.Run("plan without filter", func(t *testing.T) {
plan, err := createCntPlan("", nil)
assert.NoError(t, err)
assert.True(t, plan.GetQuery().GetIsCount())
assert.Nil(t, plan.GetQuery().GetPredicates())
})
t.Run("invalid schema", func(t *testing.T) {
_, err := createCntPlan("a > b", nil)
assert.Error(t, err)
})
t.Run("invalid schema", func(t *testing.T) {
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: 100,
Name: "a",
IsPrimaryKey: true,
DataType: schemapb.DataType_Int64,
},
},
}
plan, err := createCntPlan("a > 4", schema)
assert.NoError(t, err)
assert.True(t, plan.GetQuery().GetIsCount())
assert.NotNil(t, plan.GetQuery().GetPredicates())
})
}
func Test_queryTask_createPlan(t *testing.T) {
t.Run("match count rule", func(t *testing.T) {
tsk := &queryTask{
request: &milvuspb.QueryRequest{
OutputFields: []string{"count(*)"},
},
}
err := tsk.createPlan(context.TODO())
assert.NoError(t, err)
plan := tsk.plan
assert.True(t, plan.GetQuery().GetIsCount())
assert.Nil(t, plan.GetQuery().GetPredicates())
})
t.Run("query without expression", func(t *testing.T) {
tsk := &queryTask{
request: &milvuspb.QueryRequest{
OutputFields: []string{"a"},
},
}
err := tsk.createPlan(context.TODO())
assert.Error(t, err)
})
t.Run("invalid expression", func(t *testing.T) {
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: 100,
Name: "a",
IsPrimaryKey: true,
DataType: schemapb.DataType_Int64,
},
},
}
tsk := &queryTask{
schema: schema,
request: &milvuspb.QueryRequest{
OutputFields: []string{"a"},
Expr: "b > 2",
},
}
err := tsk.createPlan(context.TODO())
assert.Error(t, err)
})
t.Run("invalid output fields", func(t *testing.T) {
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: 100,
Name: "a",
IsPrimaryKey: true,
DataType: schemapb.DataType_Int64,
},
},
}
tsk := &queryTask{
schema: schema,
request: &milvuspb.QueryRequest{
OutputFields: []string{"b"},
Expr: "a > 2",
},
}
err := tsk.createPlan(context.TODO())
assert.Error(t, err)
})
}
func TestQueryTask_IDs2Expr(t *testing.T) {
fieldName := "pk"
intIDs := &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: []int64{1, 2, 3, 4, 5},
},
},
}
stringIDs := &schemapb.IDs{
IdField: &schemapb.IDs_StrId{
StrId: &schemapb.StringArray{
Data: []string{"a", "b", "c"},
},
},
}
idExpr := IDs2Expr(fieldName, intIDs)
expectIDExpr := "pk in [ 1, 2, 3, 4, 5 ]"
assert.Equal(t, expectIDExpr, idExpr)
strExpr := IDs2Expr(fieldName, stringIDs)
expectStrExpr := "pk in [ \"a\", \"b\", \"c\" ]"
assert.Equal(t, expectStrExpr, strExpr)
}