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https://gitee.com/milvus-io/milvus.git
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643 lines
19 KiB
Go
643 lines
19 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package importutil
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import (
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"context"
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"encoding/json"
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"errors"
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"math"
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"testing"
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"github.com/milvus-io/milvus-proto/go-api/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/schemapb"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/internal/util/typeutil"
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"github.com/stretchr/testify/assert"
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)
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// sampleSchema() return a schema contains all supported data types with an int64 primary key
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func sampleSchema() *schemapb.CollectionSchema {
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schema := &schemapb.CollectionSchema{
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Name: "schema",
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Description: "schema",
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AutoID: true,
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Fields: []*schemapb.FieldSchema{
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{
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FieldID: 102,
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Name: "FieldBool",
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IsPrimaryKey: false,
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Description: "bool",
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DataType: schemapb.DataType_Bool,
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},
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{
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FieldID: 103,
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Name: "FieldInt8",
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IsPrimaryKey: false,
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Description: "int8",
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DataType: schemapb.DataType_Int8,
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},
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{
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FieldID: 104,
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Name: "FieldInt16",
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IsPrimaryKey: false,
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Description: "int16",
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DataType: schemapb.DataType_Int16,
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},
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{
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FieldID: 105,
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Name: "FieldInt32",
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IsPrimaryKey: false,
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Description: "int32",
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DataType: schemapb.DataType_Int32,
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},
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{
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FieldID: 106,
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Name: "FieldInt64",
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IsPrimaryKey: true,
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AutoID: false,
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Description: "int64",
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DataType: schemapb.DataType_Int64,
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},
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{
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FieldID: 107,
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Name: "FieldFloat",
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IsPrimaryKey: false,
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Description: "float",
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DataType: schemapb.DataType_Float,
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},
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{
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FieldID: 108,
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Name: "FieldDouble",
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IsPrimaryKey: false,
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Description: "double",
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DataType: schemapb.DataType_Double,
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},
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{
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FieldID: 109,
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Name: "FieldString",
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IsPrimaryKey: false,
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Description: "string",
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "max_length", Value: "128"},
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},
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},
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{
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FieldID: 110,
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Name: "FieldBinaryVector",
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IsPrimaryKey: false,
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Description: "binary_vector",
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DataType: schemapb.DataType_BinaryVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "16"},
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},
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},
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{
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FieldID: 111,
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Name: "FieldFloatVector",
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IsPrimaryKey: false,
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Description: "float_vector",
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "4"},
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},
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},
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},
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}
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return schema
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}
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// sampleContent/sampleRow is json structs to represent sampleSchema() for testing
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type sampleRow struct {
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FieldBool bool
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FieldInt8 int8
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FieldInt16 int16
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FieldInt32 int32
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FieldInt64 int64
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FieldFloat float32
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FieldDouble float64
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FieldString string
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FieldBinaryVector []int
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FieldFloatVector []float32
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}
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type sampleContent struct {
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Rows []sampleRow
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}
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// strKeySchema() return a schema with a varchar primary key
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func strKeySchema() *schemapb.CollectionSchema {
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schema := &schemapb.CollectionSchema{
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Name: "schema",
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Description: "schema",
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AutoID: true,
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Fields: []*schemapb.FieldSchema{
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{
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FieldID: 101,
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Name: "UID",
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IsPrimaryKey: true,
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AutoID: false,
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Description: "uid",
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "max_length", Value: "1024"},
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},
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},
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{
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FieldID: 102,
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Name: "FieldInt32",
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IsPrimaryKey: false,
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Description: "int_scalar",
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DataType: schemapb.DataType_Int32,
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},
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{
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FieldID: 103,
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Name: "FieldFloat",
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IsPrimaryKey: false,
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Description: "float_scalar",
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DataType: schemapb.DataType_Float,
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},
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{
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FieldID: 104,
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Name: "FieldString",
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IsPrimaryKey: false,
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Description: "string_scalar",
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "max_length", Value: "128"},
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},
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},
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{
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FieldID: 105,
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Name: "FieldBool",
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IsPrimaryKey: false,
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Description: "bool_scalar",
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DataType: schemapb.DataType_Bool,
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},
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{
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FieldID: 106,
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Name: "FieldFloatVector",
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IsPrimaryKey: false,
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Description: "vectors",
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "4"},
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},
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},
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},
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}
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return schema
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}
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// strKeyContent/strKeyRow is json structs to represent strKeySchema() for testing
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type strKeyRow struct {
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UID string
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FieldInt32 int32
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FieldFloat float32
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FieldString string
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FieldBool bool
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FieldFloatVector []float32
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}
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type strKeyContent struct {
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Rows []strKeyRow
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}
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func jsonNumber(value string) json.Number {
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return json.Number(value)
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}
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func Test_IsCanceled(t *testing.T) {
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ctx, cancel := context.WithCancel(context.Background())
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assert.False(t, isCanceled(ctx))
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cancel()
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assert.True(t, isCanceled(ctx))
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}
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func Test_InitSegmentData(t *testing.T) {
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testFunc := func(schema *schemapb.CollectionSchema) {
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fields := initSegmentData(schema)
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assert.Equal(t, len(schema.Fields)+1, len(fields))
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for _, field := range schema.Fields {
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data, ok := fields[field.FieldID]
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assert.True(t, ok)
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assert.NotNil(t, data)
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}
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printFieldsDataInfo(fields, "dummy", []string{})
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}
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testFunc(sampleSchema())
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testFunc(strKeySchema())
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// unsupported data type
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schema := &schemapb.CollectionSchema{
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Name: "schema",
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AutoID: true,
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Fields: []*schemapb.FieldSchema{
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{
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FieldID: 101,
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Name: "uid",
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IsPrimaryKey: true,
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AutoID: true,
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DataType: schemapb.DataType_Int64,
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},
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{
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FieldID: 102,
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Name: "flag",
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IsPrimaryKey: false,
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DataType: schemapb.DataType_None,
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},
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},
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}
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data := initSegmentData(schema)
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assert.Nil(t, data)
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}
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func Test_parseFloat(t *testing.T) {
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value, err := parseFloat("dummy", 32, "")
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assert.Zero(t, value)
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assert.Error(t, err)
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value, err = parseFloat("NaN", 32, "")
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assert.Zero(t, value)
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assert.Error(t, err)
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value, err = parseFloat("Inf", 32, "")
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assert.Zero(t, value)
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assert.Error(t, err)
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value, err = parseFloat("Infinity", 32, "")
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assert.Zero(t, value)
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assert.Error(t, err)
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value, err = parseFloat("3.5e+38", 32, "")
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assert.Zero(t, value)
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assert.Error(t, err)
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value, err = parseFloat("1.8e+308", 64, "")
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assert.Zero(t, value)
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assert.Error(t, err)
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value, err = parseFloat("3.14159", 32, "")
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assert.True(t, math.Abs(value-3.14159) < 0.000001)
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assert.Nil(t, err)
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value, err = parseFloat("2.718281828459045", 64, "")
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assert.True(t, math.Abs(value-2.718281828459045) < 0.0000000000000001)
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assert.Nil(t, err)
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}
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func Test_InitValidators(t *testing.T) {
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validators := make(map[storage.FieldID]*Validator)
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err := initValidators(nil, validators)
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assert.NotNil(t, err)
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schema := sampleSchema()
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// success case
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err = initValidators(schema, validators)
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assert.Nil(t, err)
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assert.Equal(t, len(schema.Fields), len(validators))
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for _, field := range schema.Fields {
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fieldID := field.GetFieldID()
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assert.Equal(t, field.GetName(), validators[fieldID].fieldName)
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assert.Equal(t, field.GetIsPrimaryKey(), validators[fieldID].primaryKey)
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assert.Equal(t, field.GetAutoID(), validators[fieldID].autoID)
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if field.GetDataType() != schemapb.DataType_VarChar && field.GetDataType() != schemapb.DataType_String {
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assert.False(t, validators[fieldID].isString)
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} else {
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assert.True(t, validators[fieldID].isString)
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}
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}
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name2ID := make(map[string]storage.FieldID)
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for _, field := range schema.Fields {
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name2ID[field.GetName()] = field.GetFieldID()
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}
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fields := initSegmentData(schema)
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assert.NotNil(t, fields)
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checkConvertFunc := func(funcName string, validVal interface{}, invalidVal interface{}) {
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id := name2ID[funcName]
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v, ok := validators[id]
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assert.True(t, ok)
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fieldData := fields[id]
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preNum := fieldData.RowNum()
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err = v.convertFunc(validVal, fieldData)
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assert.Nil(t, err)
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postNum := fieldData.RowNum()
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assert.Equal(t, 1, postNum-preNum)
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err = v.convertFunc(invalidVal, fieldData)
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assert.NotNil(t, err)
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}
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t.Run("check convert functions", func(t *testing.T) {
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var validVal interface{} = true
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var invalidVal interface{} = 5
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checkConvertFunc("FieldBool", validVal, invalidVal)
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validVal = jsonNumber("100")
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invalidVal = jsonNumber("128")
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checkConvertFunc("FieldInt8", validVal, invalidVal)
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invalidVal = jsonNumber("65536")
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checkConvertFunc("FieldInt16", validVal, invalidVal)
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invalidVal = jsonNumber("2147483648")
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checkConvertFunc("FieldInt32", validVal, invalidVal)
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invalidVal = jsonNumber("1.2")
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checkConvertFunc("FieldInt64", validVal, invalidVal)
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invalidVal = jsonNumber("dummy")
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checkConvertFunc("FieldFloat", validVal, invalidVal)
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checkConvertFunc("FieldDouble", validVal, invalidVal)
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invalidVal = "6"
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checkConvertFunc("FieldInt8", validVal, invalidVal)
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checkConvertFunc("FieldInt16", validVal, invalidVal)
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checkConvertFunc("FieldInt32", validVal, invalidVal)
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checkConvertFunc("FieldInt64", validVal, invalidVal)
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checkConvertFunc("FieldFloat", validVal, invalidVal)
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checkConvertFunc("FieldDouble", validVal, invalidVal)
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validVal = "aa"
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checkConvertFunc("FieldString", validVal, nil)
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// the binary vector dimension is 16, shoud input two uint8 values, each value should between 0~255
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validVal = []interface{}{jsonNumber("100"), jsonNumber("101")}
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invalidVal = []interface{}{jsonNumber("100"), jsonNumber("1256")}
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checkConvertFunc("FieldBinaryVector", validVal, invalidVal)
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invalidVal = false
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checkConvertFunc("FieldBinaryVector", validVal, invalidVal)
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invalidVal = []interface{}{jsonNumber("100")}
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checkConvertFunc("FieldBinaryVector", validVal, invalidVal)
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invalidVal = []interface{}{jsonNumber("100"), 0}
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checkConvertFunc("FieldBinaryVector", validVal, invalidVal)
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// the float vector dimension is 4, each value should be valid float number
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validVal = []interface{}{jsonNumber("1"), jsonNumber("2"), jsonNumber("3"), jsonNumber("4")}
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invalidVal = []interface{}{jsonNumber("1"), jsonNumber("2"), jsonNumber("3"), jsonNumber("dummy")}
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checkConvertFunc("FieldFloatVector", validVal, invalidVal)
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invalidVal = false
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checkConvertFunc("FieldFloatVector", validVal, invalidVal)
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invalidVal = []interface{}{jsonNumber("1")}
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checkConvertFunc("FieldFloatVector", validVal, invalidVal)
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invalidVal = []interface{}{jsonNumber("1"), jsonNumber("2"), jsonNumber("3"), true}
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checkConvertFunc("FieldFloatVector", validVal, invalidVal)
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})
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t.Run("init error cases", func(t *testing.T) {
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schema = &schemapb.CollectionSchema{
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Name: "schema",
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Description: "schema",
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AutoID: true,
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Fields: make([]*schemapb.FieldSchema, 0),
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}
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schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
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FieldID: 111,
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Name: "FieldFloatVector",
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IsPrimaryKey: false,
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "aa"},
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},
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})
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validators = make(map[storage.FieldID]*Validator)
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err = initValidators(schema, validators)
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assert.NotNil(t, err)
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schema.Fields = make([]*schemapb.FieldSchema, 0)
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schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
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FieldID: 110,
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Name: "FieldBinaryVector",
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IsPrimaryKey: false,
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DataType: schemapb.DataType_BinaryVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "aa"},
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},
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})
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err = initValidators(schema, validators)
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assert.NotNil(t, err)
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// unsupported data type
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schema.Fields = make([]*schemapb.FieldSchema, 0)
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schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
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FieldID: 110,
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Name: "dummy",
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IsPrimaryKey: false,
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DataType: schemapb.DataType_None,
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})
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err = initValidators(schema, validators)
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assert.NotNil(t, err)
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})
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}
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func Test_GetFileNameAndExt(t *testing.T) {
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filePath := "aaa/bbb/ccc.txt"
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name, ext := GetFileNameAndExt(filePath)
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assert.EqualValues(t, "ccc", name)
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assert.EqualValues(t, ".txt", ext)
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}
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func Test_GetFieldDimension(t *testing.T) {
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schema := &schemapb.FieldSchema{
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FieldID: 111,
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Name: "FieldFloatVector",
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IsPrimaryKey: false,
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Description: "float_vector",
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{Key: "dim", Value: "4"},
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},
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}
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dim, err := getFieldDimension(schema)
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assert.Nil(t, err)
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assert.Equal(t, 4, dim)
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schema.TypeParams = []*commonpb.KeyValuePair{
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{Key: "dim", Value: "abc"},
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}
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dim, err = getFieldDimension(schema)
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assert.NotNil(t, err)
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assert.Equal(t, 0, dim)
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schema.TypeParams = []*commonpb.KeyValuePair{}
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dim, err = getFieldDimension(schema)
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assert.NotNil(t, err)
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assert.Equal(t, 0, dim)
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}
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func Test_TryFlushBlocks(t *testing.T) {
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ctx, cancel := context.WithCancel(context.Background())
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flushCounter := 0
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flushRowCount := 0
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flushFunc := func(fields map[storage.FieldID]storage.FieldData, shardID int) error {
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flushCounter++
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rowCount := 0
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for _, v := range fields {
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rowCount = v.RowNum()
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break
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}
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flushRowCount += rowCount
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for _, v := range fields {
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assert.Equal(t, rowCount, v.RowNum())
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}
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return nil
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}
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blockSize := int64(1024)
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maxTotalSize := int64(2048)
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shardNum := int32(3)
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// prepare flush data, 3 shards, each shard 10 rows
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rowCount := 10
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fieldsData := createFieldsData(rowCount)
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// non-force flush
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segmentsData := createSegmentsData(fieldsData, shardNum)
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err := tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, false)
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assert.Nil(t, err)
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assert.Equal(t, 0, flushCounter)
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assert.Equal(t, 0, flushRowCount)
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// force flush
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err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, true)
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assert.Nil(t, err)
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assert.Equal(t, int(shardNum), flushCounter)
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assert.Equal(t, rowCount*int(shardNum), flushRowCount)
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// after force flush, no data left
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flushCounter = 0
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flushRowCount = 0
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err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, true)
|
|
assert.Nil(t, err)
|
|
assert.Equal(t, 0, flushCounter)
|
|
assert.Equal(t, 0, flushRowCount)
|
|
|
|
// flush when segment size exceeds blockSize
|
|
segmentsData = createSegmentsData(fieldsData, shardNum)
|
|
blockSize = 100 // blockSize is 100 bytes, less than the 10 rows size
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, false)
|
|
assert.Nil(t, err)
|
|
assert.Equal(t, int(shardNum), flushCounter)
|
|
assert.Equal(t, rowCount*int(shardNum), flushRowCount)
|
|
|
|
flushCounter = 0
|
|
flushRowCount = 0
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, true) // no data left
|
|
assert.Nil(t, err)
|
|
assert.Equal(t, 0, flushCounter)
|
|
assert.Equal(t, 0, flushRowCount)
|
|
|
|
// flush when segments total size exceeds maxTotalSize
|
|
segmentsData = createSegmentsData(fieldsData, shardNum)
|
|
blockSize = 4096 // blockSize is 4096 bytes, larger than the 10 rows size
|
|
maxTotalSize = 100 // maxTotalSize is 100 bytes, less than the 30 rows size
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, false)
|
|
assert.Nil(t, err)
|
|
assert.Equal(t, 1, flushCounter) // only the max segment is flushed
|
|
assert.Equal(t, 10, flushRowCount)
|
|
|
|
flushCounter = 0
|
|
flushRowCount = 0
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, true) // two segments left
|
|
assert.Nil(t, err)
|
|
assert.Equal(t, 2, flushCounter)
|
|
assert.Equal(t, 20, flushRowCount)
|
|
|
|
// call flush function failed
|
|
flushFunc = func(fields map[storage.FieldID]storage.FieldData, shardID int) error {
|
|
return errors.New("error")
|
|
}
|
|
segmentsData = createSegmentsData(fieldsData, shardNum)
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, true) // failed to force flush
|
|
assert.Error(t, err)
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, 1, maxTotalSize, false) // failed to flush block larger than blockSize
|
|
assert.Error(t, err)
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, false) // failed to flush biggest block
|
|
assert.Error(t, err)
|
|
|
|
// canceled
|
|
cancel()
|
|
flushCounter = 0
|
|
flushRowCount = 0
|
|
segmentsData = createSegmentsData(fieldsData, shardNum)
|
|
err = tryFlushBlocks(ctx, segmentsData, sampleSchema(), flushFunc, blockSize, maxTotalSize, true)
|
|
assert.Error(t, err)
|
|
assert.Equal(t, 0, flushCounter)
|
|
assert.Equal(t, 0, flushRowCount)
|
|
}
|
|
|
|
func Test_GetTypeName(t *testing.T) {
|
|
str := getTypeName(schemapb.DataType_Bool)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_Int8)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_Int16)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_Int32)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_Int64)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_Float)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_Double)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_VarChar)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_String)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_BinaryVector)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_FloatVector)
|
|
assert.NotEmpty(t, str)
|
|
str = getTypeName(schemapb.DataType_None)
|
|
assert.Equal(t, "InvalidType", str)
|
|
}
|
|
|
|
func Test_PkToShard(t *testing.T) {
|
|
a := int32(99)
|
|
shard, err := pkToShard(a, 2)
|
|
assert.Error(t, err)
|
|
assert.Zero(t, shard)
|
|
|
|
s := "abcdef"
|
|
shardNum := uint32(3)
|
|
shard, err = pkToShard(s, shardNum)
|
|
assert.NoError(t, err)
|
|
hash := typeutil.HashString2Uint32(s)
|
|
assert.Equal(t, hash%shardNum, shard)
|
|
|
|
pk := int64(100)
|
|
shardNum = uint32(4)
|
|
shard, err = pkToShard(pk, shardNum)
|
|
assert.NoError(t, err)
|
|
hash, _ = typeutil.Hash32Int64(pk)
|
|
assert.Equal(t, hash%shardNum, shard)
|
|
|
|
pk = int64(99999)
|
|
shardNum = uint32(5)
|
|
shard, err = pkToShard(pk, shardNum)
|
|
assert.NoError(t, err)
|
|
hash, _ = typeutil.Hash32Int64(pk)
|
|
assert.Equal(t, hash%shardNum, shard)
|
|
}
|