milvus/tests/integration/util_insert.go
zhenshan.cao 63843dce33
fix: Fix conan gdal building problem (#37338)
issue:https://github.com/milvus-io/milvus/issues/27576

Signed-off-by: zhenshan.cao <zhenshan.cao@zilliz.com>
2024-10-31 21:04:16 +08:00

201 lines
5.5 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 integration
import (
"context"
"time"
"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/pkg/util/testutils"
)
func (s *MiniClusterSuite) WaitForFlush(ctx context.Context, segIDs []int64, flushTs uint64, dbName, collectionName string) {
flushed := func() bool {
resp, err := s.Cluster.Proxy.GetFlushState(ctx, &milvuspb.GetFlushStateRequest{
SegmentIDs: segIDs,
FlushTs: flushTs,
DbName: dbName,
CollectionName: collectionName,
})
if err != nil {
return false
}
return resp.GetFlushed()
}
for !flushed() {
select {
case <-ctx.Done():
s.FailNow("failed to wait for flush until ctx done")
return
default:
time.Sleep(500 * time.Millisecond)
}
}
}
func NewInt64FieldData(fieldName string, numRows int) *schemapb.FieldData {
return &schemapb.FieldData{
Type: schemapb.DataType_Int64,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: GenerateInt64Array(numRows, 0),
},
},
},
},
}
}
func NewInt64FieldDataWithStart(fieldName string, numRows int, start int64) *schemapb.FieldData {
return &schemapb.FieldData{
Type: schemapb.DataType_Int64,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: GenerateInt64Array(numRows, start),
},
},
},
},
}
}
func NewInt64FieldDataNullableWithStart(fieldName string, numRows, start int) *schemapb.FieldData {
validData, num := GenerateBoolArray(numRows)
return &schemapb.FieldData{
Type: schemapb.DataType_Int64,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: GenerateInt64Array(num, int64(start)),
},
},
},
},
ValidData: validData,
}
}
func NewInt64SameFieldData(fieldName string, numRows int, value int64) *schemapb.FieldData {
return &schemapb.FieldData{
Type: schemapb.DataType_Int64,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: GenerateSameInt64Array(numRows, value),
},
},
},
},
}
}
func NewVarCharSameFieldData(fieldName string, numRows int, value string) *schemapb.FieldData {
return &schemapb.FieldData{
Type: schemapb.DataType_String,
FieldName: fieldName,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: GenerateSameStringArray(numRows, value),
},
},
},
},
}
}
func NewStringFieldData(fieldName string, numRows int) *schemapb.FieldData {
return testutils.NewStringFieldData(fieldName, numRows)
}
func NewFloatVectorFieldData(fieldName string, numRows, dim int) *schemapb.FieldData {
return testutils.NewFloatVectorFieldData(fieldName, numRows, dim)
}
func NewFloat16VectorFieldData(fieldName string, numRows, dim int) *schemapb.FieldData {
return testutils.NewFloat16VectorFieldData(fieldName, numRows, dim)
}
func NewBFloat16VectorFieldData(fieldName string, numRows, dim int) *schemapb.FieldData {
return testutils.NewBFloat16VectorFieldData(fieldName, numRows, dim)
}
func NewBinaryVectorFieldData(fieldName string, numRows, dim int) *schemapb.FieldData {
return testutils.NewBinaryVectorFieldData(fieldName, numRows, dim)
}
func NewSparseFloatVectorFieldData(fieldName string, numRows int) *schemapb.FieldData {
return testutils.NewSparseFloatVectorFieldData(fieldName, numRows)
}
func GenerateInt64Array(numRows int, start int64) []int64 {
ret := make([]int64, numRows)
for i := 0; i < numRows; i++ {
ret[i] = int64(i) + start
}
return ret
}
func GenerateSameInt64Array(numRows int, value int64) []int64 {
ret := make([]int64, numRows)
for i := 0; i < numRows; i++ {
ret[i] = value
}
return ret
}
func GenerateBoolArray(numRows int) ([]bool, int) {
var num int
ret := make([]bool, numRows)
for i := 0; i < numRows; i++ {
ret[i] = i%2 == 0
if ret[i] {
num++
}
}
return ret, num
}
func GenerateSameStringArray(numRows int, value string) []string {
ret := make([]string, numRows)
for i := 0; i < numRows; i++ {
ret[i] = value
}
return ret
}
func GenerateSparseFloatArray(numRows int) *schemapb.SparseFloatArray {
return testutils.GenerateSparseFloatVectors(numRows)
}
func GenerateHashKeys(numRows int) []uint32 {
return testutils.GenerateHashKeys(numRows)
}