milvus/client/column/columns_test.go

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// 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 column
import (
"math/rand"
"strconv"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
func TestIDColumns(t *testing.T) {
dataLen := rand.Intn(100) + 1
base := rand.Intn(5000) // id start point
t.Run("nil id", func(t *testing.T) {
_, err := IDColumns(nil, 0, -1)
assert.NotNil(t, err)
idField := &schemapb.IDs{}
_, err = IDColumns(idField, 0, -1)
assert.NotNil(t, err)
})
t.Run("int ids", func(t *testing.T) {
ids := make([]int64, 0, dataLen)
for i := 0; i < dataLen; i++ {
ids = append(ids, int64(i+base))
}
idField := &schemapb.IDs{
IdField: &schemapb.IDs_IntId{
IntId: &schemapb.LongArray{
Data: ids,
},
},
}
column, err := IDColumns(idField, 0, dataLen)
assert.Nil(t, err)
assert.NotNil(t, column)
assert.Equal(t, dataLen, column.Len())
column, err = IDColumns(idField, 0, -1) // test -1 method
assert.Nil(t, err)
assert.NotNil(t, column)
assert.Equal(t, dataLen, column.Len())
})
t.Run("string ids", func(t *testing.T) {
ids := make([]string, 0, dataLen)
for i := 0; i < dataLen; i++ {
ids = append(ids, strconv.FormatInt(int64(i+base), 10))
}
idField := &schemapb.IDs{
IdField: &schemapb.IDs_StrId{
StrId: &schemapb.StringArray{
Data: ids,
},
},
}
column, err := IDColumns(idField, 0, dataLen)
assert.Nil(t, err)
assert.NotNil(t, column)
assert.Equal(t, dataLen, column.Len())
column, err = IDColumns(idField, 0, -1) // test -1 method
assert.Nil(t, err)
assert.NotNil(t, column)
assert.Equal(t, dataLen, column.Len())
})
}
func TestGetIntData(t *testing.T) {
type testCase struct {
tag string
fd *schemapb.FieldData
expectOK bool
}
cases := []testCase{
{
tag: "normal_IntData",
fd: &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{Data: []int32{1, 2, 3}},
},
},
},
},
expectOK: true,
},
{
tag: "empty_LongData",
fd: &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{Data: nil},
},
},
},
},
expectOK: true,
},
{
tag: "nonempty_LongData",
fd: &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{Data: []int64{1, 2, 3}},
},
},
},
},
expectOK: false,
},
{
tag: "other_data",
fd: &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_BoolData{},
},
},
},
expectOK: false,
},
{
tag: "vector_data",
fd: &schemapb.FieldData{
Field: &schemapb.FieldData_Vectors{},
},
expectOK: false,
},
}
for _, tc := range cases {
t.Run(tc.tag, func(t *testing.T) {
_, ok := getIntData(tc.fd)
assert.Equal(t, tc.expectOK, ok)
})
}
}