milvus/internal/proxy/validate_util_test.go
yah01 d267559bd0
Fix incorrect error message while validating insert data (#26187)
Signed-off-by: yah01 <yah2er0ne@outlook.com>
2023-08-09 20:33:15 +08:00

2134 lines
47 KiB
Go

package proxy
import (
"math"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/paramtable"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
func Test_verifyLengthPerRow(t *testing.T) {
maxLength := 16
assert.NoError(t, verifyLengthPerRow[string](nil, int64(maxLength)))
assert.NoError(t, verifyLengthPerRow([]string{"111111", "22222"}, int64(maxLength)))
assert.Error(t, verifyLengthPerRow([]string{"11111111111111111"}, int64(maxLength)))
assert.Error(t, verifyLengthPerRow([]string{"11111111111111111", "222"}, int64(maxLength)))
assert.Error(t, verifyLengthPerRow([]string{"11111", "22222222222222222"}, int64(maxLength)))
}
func Test_validateUtil_checkVarCharFieldData(t *testing.T) {
t.Run("type mismatch", func(t *testing.T) {
f := &schemapb.FieldData{}
v := newValidateUtil()
assert.Error(t, v.checkVarCharFieldData(f, nil))
})
t.Run("max length not found", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"111", "222"},
},
},
},
},
}
fs := &schemapb.FieldSchema{
DataType: schemapb.DataType_VarChar,
}
v := newValidateUtil(withMaxLenCheck())
err := v.checkVarCharFieldData(f, fs)
assert.Error(t, err)
})
t.Run("length exceeds", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"111", "222"},
},
},
},
},
}
fs := &schemapb.FieldSchema{
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "2",
},
},
}
v := newValidateUtil(withMaxLenCheck())
err := v.checkVarCharFieldData(f, fs)
assert.Error(t, err)
})
t.Run("normal case", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"111", "222"},
},
},
},
},
}
fs := &schemapb.FieldSchema{
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "4",
},
},
}
v := newValidateUtil(withMaxLenCheck())
err := v.checkVarCharFieldData(f, fs)
assert.NoError(t, err)
})
t.Run("no check", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"111", "222"},
},
},
},
},
}
fs := &schemapb.FieldSchema{
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "2",
},
},
}
v := newValidateUtil()
err := v.checkVarCharFieldData(f, fs)
assert.NoError(t, err)
})
t.Run("when autoID is true, no need to do max length check", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"111", "222"},
},
},
},
},
}
fs := &schemapb.FieldSchema{
DataType: schemapb.DataType_VarChar,
IsPrimaryKey: true,
AutoID: true,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "2",
},
},
}
v := newValidateUtil(withMaxLenCheck())
err := v.checkVarCharFieldData(f, fs)
assert.NoError(t, err)
})
}
func Test_validateUtil_checkBinaryVectorFieldData(t *testing.T) {
assert.NoError(t, newValidateUtil().checkBinaryVectorFieldData(nil, nil))
}
func Test_validateUtil_checkFloatVectorFieldData(t *testing.T) {
t.Run("not float vector", func(t *testing.T) {
f := &schemapb.FieldData{}
v := newValidateUtil()
err := v.checkFloatVectorFieldData(f, nil)
assert.Error(t, err)
})
t.Run("no check", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: []float32{1.1, 2.2},
},
},
},
},
}
v := newValidateUtil()
v.checkNAN = false
err := v.checkFloatVectorFieldData(f, nil)
assert.NoError(t, err)
})
t.Run("has nan", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: []float32{float32(math.NaN())},
},
},
},
},
}
v := newValidateUtil(withNANCheck())
err := v.checkFloatVectorFieldData(f, nil)
assert.Error(t, err)
})
t.Run("normal case", func(t *testing.T) {
f := &schemapb.FieldData{
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: []float32{1.1, 2.2},
},
},
},
},
}
v := newValidateUtil(withNANCheck())
err := v.checkFloatVectorFieldData(f, nil)
assert.NoError(t, err)
})
t.Run("default", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldId: 100,
FieldName: "vec",
Type: schemapb.DataType_FloatVector,
Field: &schemapb.FieldData_Vectors{},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
FieldID: 100,
Name: "vec",
DataType: schemapb.DataType_FloatVector,
DefaultValue: &schemapb.ValueField{},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 1)
assert.Error(t, err)
})
}
func Test_validateUtil_checkAligned(t *testing.T) {
t.Run("float vector column not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_FloatVector,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
t.Run("float vector column dimension not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_FloatVector,
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_FloatVector,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
t.Run("invalid num rows", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_FloatVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: []float32{1.1, 2.2},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
t.Run("num rows mismatch", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_FloatVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: []float32{1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
//////////////////////////////////////////////////////////////////////
t.Run("binary vector column not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_BinaryVector,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
t.Run("binary vector column dimension not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_BinaryVector,
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_BinaryVector,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
t.Run("invalid num rows", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_BinaryVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_BinaryVector{
BinaryVector: []byte("not128"),
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_BinaryVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "128",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
t.Run("num rows mismatch", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_BinaryVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_BinaryVector{
BinaryVector: []byte{'1', '2'},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_BinaryVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
//////////////////////////////////////////////////////////////////
t.Run("mismatch", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"111", "222"},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "8",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 100)
assert.Error(t, err)
})
/////////////////////////////////////////////////////////////////////
t.Run("normal case", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test1",
Type: schemapb.DataType_FloatVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: generateFloatVectors(10, 8),
},
},
},
},
},
{
FieldName: "test2",
Type: schemapb.DataType_BinaryVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_BinaryVector{
BinaryVector: generateBinaryVectors(10, 8),
},
},
},
},
{
FieldName: "test3",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: generateVarCharArray(10, 8),
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test1",
FieldID: 101,
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
{
Name: "test2",
FieldID: 102,
DataType: schemapb.DataType_BinaryVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
{
Name: "test3",
FieldID: 103,
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "8",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.checkAligned(data, h, 10)
assert.NoError(t, err)
})
}
func Test_validateUtil_Validate(t *testing.T) {
paramtable.Init()
t.Run("nil schema", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_FloatVector,
},
}
v := newValidateUtil()
err := v.Validate(data, nil, 100)
assert.Error(t, err)
})
t.Run("not aligned", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"111", "222"},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "8",
},
},
},
},
}
v := newValidateUtil()
err := v.Validate(data, schema, 100)
assert.Error(t, err)
})
t.Run("has nan", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test1",
Type: schemapb.DataType_FloatVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: []float32{float32(math.NaN()), float32(math.NaN())},
},
},
},
},
},
{
FieldName: "test2",
Type: schemapb.DataType_BinaryVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_BinaryVector{
BinaryVector: generateBinaryVectors(2, 8),
},
},
},
},
{
FieldName: "test3",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: generateVarCharArray(2, 8),
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test1",
FieldID: 101,
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "1",
},
},
},
{
Name: "test2",
FieldID: 102,
DataType: schemapb.DataType_BinaryVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
{
Name: "test3",
FieldID: 103,
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "8",
},
},
},
},
}
v := newValidateUtil(withNANCheck(), withMaxLenCheck())
err := v.Validate(data, schema, 2)
assert.Error(t, err)
})
t.Run("length exceeds", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test1",
Type: schemapb.DataType_FloatVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: generateFloatVectors(2, 1),
},
},
},
},
},
{
FieldName: "test2",
Type: schemapb.DataType_BinaryVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_BinaryVector{
BinaryVector: generateBinaryVectors(2, 8),
},
},
},
},
{
FieldName: "test3",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{"very_long", "very_very_long"},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test1",
FieldID: 101,
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "1",
},
},
},
{
Name: "test2",
FieldID: 102,
DataType: schemapb.DataType_BinaryVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
{
Name: "test3",
FieldID: 103,
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "2",
},
},
},
},
}
v := newValidateUtil(withNANCheck(), withMaxLenCheck())
err := v.Validate(data, schema, 2)
assert.Error(t, err)
// Validate JSON length
longBytes := make([]byte, paramtable.Get().CommonCfg.JSONMaxLength.GetAsInt()+1)
data = []*schemapb.FieldData{
{
FieldName: "json",
Type: schemapb.DataType_JSON,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_JsonData{
JsonData: &schemapb.JSONArray{
Data: [][]byte{longBytes, longBytes},
},
},
},
},
},
}
schema = &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "json",
FieldID: 104,
DataType: schemapb.DataType_JSON,
},
},
}
err = v.Validate(data, schema, 2)
assert.Error(t, err)
})
t.Run("has overflow", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test1",
Type: schemapb.DataType_Int8,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{int32(math.MinInt8) - 1, int32(math.MaxInt8) + 1},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test1",
FieldID: 101,
DataType: schemapb.DataType_Int8,
},
},
}
v := newValidateUtil(withOverflowCheck())
err := v.Validate(data, schema, 2)
assert.Error(t, err)
})
t.Run("normal case", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test1",
Type: schemapb.DataType_FloatVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_FloatVector{
FloatVector: &schemapb.FloatArray{
Data: generateFloatVectors(2, 8),
},
},
},
},
},
{
FieldName: "test2",
Type: schemapb.DataType_BinaryVector,
Field: &schemapb.FieldData_Vectors{
Vectors: &schemapb.VectorField{
Data: &schemapb.VectorField_BinaryVector{
BinaryVector: generateBinaryVectors(2, 8),
},
},
},
},
{
FieldName: "test3",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: generateVarCharArray(2, 8),
},
},
},
},
},
{
FieldName: "test4",
Type: schemapb.DataType_JSON,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_JsonData{
JsonData: &schemapb.JSONArray{
Data: [][]byte{[]byte("{}"), []byte("{}")},
},
},
},
},
},
{
FieldName: "test5",
Type: schemapb.DataType_Int8,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{int32(math.MinInt8) + 1, int32(math.MaxInt8) - 1},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test1",
FieldID: 101,
DataType: schemapb.DataType_FloatVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
{
Name: "test2",
FieldID: 102,
DataType: schemapb.DataType_BinaryVector,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.DimKey,
Value: "8",
},
},
},
{
Name: "test3",
FieldID: 103,
DataType: schemapb.DataType_VarChar,
TypeParams: []*commonpb.KeyValuePair{
{
Key: common.MaxLengthKey,
Value: "8",
},
},
},
{
Name: "test4",
FieldID: 104,
DataType: schemapb.DataType_JSON,
},
{
Name: "test5",
FieldID: 105,
DataType: schemapb.DataType_Int8,
},
},
}
v := newValidateUtil(withNANCheck(), withMaxLenCheck(), withOverflowCheck())
err := v.Validate(data, schema, 2)
assert.NoError(t, err)
})
}
func checkFillWithDefaultValueData[T comparable](values []T, v T, length int) bool {
if len(values) != length {
return false
}
for i := 0; i < length; i++ {
if values[i] != v {
return false
}
}
return true
}
func Test_validateUtil_fillWithDefaultValue(t *testing.T) {
t.Run("bool scalars schema not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Bool,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 1)
assert.Error(t, err)
})
t.Run("bool scalars has no data, and schema default value is legal", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Bool,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_BoolData{
BoolData: &schemapb.BoolArray{
Data: []bool{},
},
},
},
},
},
}
var key bool
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_BinaryVector,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_BoolData{
BoolData: key,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetBoolData().Data, schema.Fields[0].GetDefaultValue().GetBoolData(), 10)
assert.True(t, flag)
})
t.Run("bool scalars has data, and schema default value is not set", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Bool,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_BoolData{
BoolData: &schemapb.BoolArray{
Data: []bool{true},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_BinaryVector,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
})
t.Run("bool scalars has data, and schema default value is legal", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Bool,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_BoolData{
BoolData: &schemapb.BoolArray{
Data: []bool{true},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_BinaryVector,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_BoolData{
BoolData: false,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetBoolData().Data, true, 1)
assert.True(t, flag)
})
////////////////////////////////////////////////////////////////////
t.Run("int scalars schema not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int32,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 1)
assert.Error(t, err)
})
t.Run("int scalars has no data, and schema default value is legal", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int32,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Int32,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_IntData{
IntData: 1,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetIntData().Data, schema.Fields[0].GetDefaultValue().GetIntData(), 10)
assert.True(t, flag)
})
t.Run("int scalars has data, and schema default value is not set", func(t *testing.T) {
intData := []int32{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int32,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: intData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Int32,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
})
t.Run("int scalars has data, and schema default value is legal", func(t *testing.T) {
intData := []int32{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int32,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: intData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Int32,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_IntData{
IntData: 2,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetIntData().Data, intData[0], 1)
assert.True(t, flag)
})
////////////////////////////////////////////////////////////////////
t.Run("long scalars schema not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int64,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 1)
assert.Error(t, err)
})
t.Run("long scalars has no data, and schema default value is legal", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int64,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: []int64{},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Int32,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_LongData{
LongData: 1,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetLongData().Data, schema.Fields[0].GetDefaultValue().GetLongData(), 10)
assert.True(t, flag)
})
t.Run("long scalars has data, and schema default value is not set", func(t *testing.T) {
longData := []int64{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int64,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: longData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Int64,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
})
t.Run("long scalars has data, and schema default value is legal", func(t *testing.T) {
longData := []int64{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Int64,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_LongData{
LongData: &schemapb.LongArray{
Data: longData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Int64,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_LongData{
LongData: 2,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetLongData().Data, longData[0], 1)
assert.True(t, flag)
})
////////////////////////////////////////////////////////////////////
t.Run("float scalars schema not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Float,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 1)
assert.Error(t, err)
})
t.Run("float scalars has no data, and schema default value is legal", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Float,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_FloatData{
FloatData: &schemapb.FloatArray{
Data: []float32{},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Float,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_FloatData{
FloatData: 1,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetFloatData().Data, schema.Fields[0].GetDefaultValue().GetFloatData(), 10)
assert.True(t, flag)
})
t.Run("float scalars has data, and schema default value is not set", func(t *testing.T) {
floatData := []float32{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Float,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_FloatData{
FloatData: &schemapb.FloatArray{
Data: floatData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Float,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
})
t.Run("float scalars has data, and schema default value is legal", func(t *testing.T) {
floatData := []float32{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Float,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_FloatData{
FloatData: &schemapb.FloatArray{
Data: floatData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Float,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_FloatData{
FloatData: 2,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetFloatData().Data, floatData[0], 1)
assert.True(t, flag)
})
////////////////////////////////////////////////////////////////////
t.Run("double scalars schema not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Double,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 1)
assert.Error(t, err)
})
t.Run("double scalars has no data, and schema default value is legal", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Double,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_DoubleData{
DoubleData: &schemapb.DoubleArray{
Data: []float64{},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Double,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_DoubleData{
DoubleData: 1,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetDoubleData().Data, schema.Fields[0].GetDefaultValue().GetDoubleData(), 10)
assert.True(t, flag)
})
t.Run("double scalars has data, and schema default value is not set", func(t *testing.T) {
doubleData := []float64{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Double,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_DoubleData{
DoubleData: &schemapb.DoubleArray{
Data: doubleData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Double,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
})
t.Run("double scalars has data, and schema default value is legal", func(t *testing.T) {
doubleData := []float64{1}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_Double,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_DoubleData{
DoubleData: &schemapb.DoubleArray{
Data: doubleData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_Double,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_DoubleData{
DoubleData: 2,
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetDoubleData().Data, doubleData[0], 1)
assert.True(t, flag)
})
//////////////////////////////////////////////////////////////////
t.Run("string scalars schema not found", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_VarChar,
},
}
schema := &schemapb.CollectionSchema{}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 1)
assert.Error(t, err)
})
t.Run("string scalars has no data, and schema default value is legal", func(t *testing.T) {
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: []string{},
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_VarChar,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_StringData{
StringData: "b",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetStringData().Data, schema.Fields[0].GetDefaultValue().GetStringData(), 10)
assert.True(t, flag)
})
t.Run("string scalars has data, and schema default value is legal", func(t *testing.T) {
stringData := []string{"a"}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: stringData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_VarChar,
DefaultValue: &schemapb.ValueField{
Data: &schemapb.ValueField_StringData{
StringData: "b",
},
},
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetStringData().Data, stringData[0], 1)
assert.True(t, flag)
})
t.Run("string scalars has data, and schema default value is not set", func(t *testing.T) {
stringData := []string{"a"}
data := []*schemapb.FieldData{
{
FieldName: "test",
Type: schemapb.DataType_VarChar,
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{
StringData: &schemapb.StringArray{
Data: stringData,
},
},
},
},
},
}
schema := &schemapb.CollectionSchema{
Fields: []*schemapb.FieldSchema{
{
Name: "test",
DataType: schemapb.DataType_VarChar,
},
},
}
h, err := typeutil.CreateSchemaHelper(schema)
assert.NoError(t, err)
v := newValidateUtil()
err = v.fillWithDefaultValue(data, h, 10)
assert.NoError(t, err)
flag := checkFillWithDefaultValueData(data[0].GetScalars().GetStringData().Data, stringData[0], 1)
assert.True(t, flag)
})
}
func Test_verifyOverflowByRange(t *testing.T) {
var err error
err = verifyOverflowByRange(
[]int32{int32(math.MinInt8 - 1)},
math.MinInt8,
math.MaxInt8,
)
assert.Error(t, err)
err = verifyOverflowByRange(
[]int32{int32(math.MaxInt8 + 1)},
math.MinInt8,
math.MaxInt8,
)
assert.Error(t, err)
err = verifyOverflowByRange(
[]int32{int32(math.MinInt8 - 1), int32(math.MaxInt8 + 1)},
math.MinInt8,
math.MaxInt8,
)
assert.Error(t, err)
err = verifyOverflowByRange(
[]int32{int32(math.MaxInt8 + 1), int32(math.MinInt8 - 1)},
math.MinInt8,
math.MaxInt8,
)
assert.Error(t, err)
err = verifyOverflowByRange(
[]int32{1, 2, 3, int32(math.MinInt8 - 1), int32(math.MaxInt8 + 1)},
math.MinInt8,
math.MaxInt8,
)
assert.Error(t, err)
err = verifyOverflowByRange(
[]int32{1, 2, 3, int32(math.MinInt8 + 1), int32(math.MaxInt8 - 1)},
math.MinInt8,
math.MaxInt8,
)
assert.NoError(t, err)
}
func Test_validateUtil_checkIntegerFieldData(t *testing.T) {
t.Run("no check", func(t *testing.T) {
v := newValidateUtil()
assert.NoError(t, v.checkIntegerFieldData(nil, nil))
})
t.Run("tiny int, type mismatch", func(t *testing.T) {
v := newValidateUtil(withOverflowCheck())
f := &schemapb.FieldSchema{
DataType: schemapb.DataType_Int8,
}
data := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_StringData{},
},
},
}
err := v.checkIntegerFieldData(data, f)
assert.Error(t, err)
})
t.Run("tiny int, overflow", func(t *testing.T) {
v := newValidateUtil(withOverflowCheck())
f := &schemapb.FieldSchema{
DataType: schemapb.DataType_Int8,
}
data := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{int32(math.MinInt8 - 1)},
},
},
},
},
}
err := v.checkIntegerFieldData(data, f)
assert.Error(t, err)
})
t.Run("tiny int, normal case", func(t *testing.T) {
v := newValidateUtil(withOverflowCheck())
f := &schemapb.FieldSchema{
DataType: schemapb.DataType_Int8,
}
data := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{int32(math.MinInt8 + 1), int32(math.MaxInt8 - 1)},
},
},
},
},
}
err := v.checkIntegerFieldData(data, f)
assert.NoError(t, err)
})
t.Run("small int, overflow", func(t *testing.T) {
v := newValidateUtil(withOverflowCheck())
f := &schemapb.FieldSchema{
DataType: schemapb.DataType_Int16,
}
data := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{int32(math.MinInt16 - 1)},
},
},
},
},
}
err := v.checkIntegerFieldData(data, f)
assert.Error(t, err)
})
t.Run("small int, normal case", func(t *testing.T) {
v := newValidateUtil(withOverflowCheck())
f := &schemapb.FieldSchema{
DataType: schemapb.DataType_Int16,
}
data := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{int32(math.MinInt16 + 1), int32(math.MaxInt16 - 1)},
},
},
},
},
}
err := v.checkIntegerFieldData(data, f)
assert.NoError(t, err)
})
}
func Test_validateUtil_checkJSONData(t *testing.T) {
v := newValidateUtil(withOverflowCheck())
f := &schemapb.FieldSchema{
DataType: schemapb.DataType_JSON,
}
data := &schemapb.FieldData{
Field: &schemapb.FieldData_Scalars{
Scalars: &schemapb.ScalarField{
Data: &schemapb.ScalarField_IntData{
IntData: &schemapb.IntArray{
Data: []int32{int32(math.MinInt8 - 1)},
},
},
},
},
}
err := v.checkJSONFieldData(data, f)
assert.Error(t, err)
}