mirror of
https://github.com/milvus-io/milvus.git
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Related to #51419 Update the Go client module path, imports, dependencies, tests, examples, and documentation from client/v2 to client/v3. Set the SDK version to 3.0.0 in preparation for the Milvus 3.0 release. Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
639 lines
18 KiB
Go
639 lines
18 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 milvusclient
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import (
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"fmt"
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"math/rand"
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"testing"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/suite"
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"github.com/milvus-io/milvus-proto/go-api/v3/commonpb"
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"github.com/milvus-io/milvus/client/v3/column"
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"github.com/milvus-io/milvus/client/v3/entity"
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)
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type SearchOptionSuite struct {
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suite.Suite
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}
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type nonSupportData struct{}
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func (d nonSupportData) Serialize() []byte {
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return []byte{}
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}
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func (d nonSupportData) Dim() int {
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return 0
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}
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func (d nonSupportData) FieldType() entity.FieldType {
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return entity.FieldType(0)
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}
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func (s *SearchOptionSuite) TestBasic() {
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collName := "search_opt_basic"
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topK := rand.Intn(100) + 1
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opt := NewSearchOption(collName, topK, []entity.Vector{entity.FloatVector([]float32{0.1, 0.2})})
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rerankerFunction := entity.NewFunction().WithName("time_decay").WithInputFields("timestamp").WithType(entity.FunctionTypeRerank).
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WithParam("reranker", "decay").
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WithParam("function", "gauss").
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WithParam("origin", 1754995249).
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WithParam("scale", 7*24*60*60).
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WithParam("offset", 24*60*60).
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WithParam("decay", 0.5)
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opt = opt.WithANNSField("test_field").WithOutputFields("ID", "Value").WithConsistencyLevel(entity.ClStrong).WithFilter("ID > 1000").WithGroupByField("group_field").WithGroupSize(10).WithStrictGroupSize(true).WithFunctionReranker(rerankerFunction)
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req, err := opt.Request()
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s.Require().NoError(err)
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s.Equal(collName, req.GetCollectionName())
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s.Equal("ID > 1000", req.GetDsl())
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s.ElementsMatch([]string{"ID", "Value"}, req.GetOutputFields())
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searchParams := entity.KvPairsMap(req.GetSearchParams())
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annField, ok := searchParams[spAnnsField]
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s.Require().True(ok)
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s.Equal("test_field", annField)
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groupField, ok := searchParams[spGroupBy]
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s.Require().True(ok)
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s.Equal("group_field", groupField)
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groupSize, ok := searchParams[spGroupSize]
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s.Require().True(ok)
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s.Equal("10", groupSize)
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spStrictGroupSize, ok := searchParams[spStrictGroupSize]
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s.Require().True(ok)
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s.Equal("true", spStrictGroupSize)
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functionScore := req.GetFunctionScore()
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s.Len(functionScore.GetFunctions(), 1)
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opt = NewSearchOption(collName, topK, []entity.Vector{nonSupportData{}})
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_, err = opt.Request()
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s.Error(err)
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}
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func (s *SearchOptionSuite) TestWithNamespace() {
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collName := "namespace_read_option"
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namespace := "tenant_a"
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searchReq, err := NewSearchOption(collName, 10, []entity.Vector{entity.FloatVector([]float32{0.1, 0.2})}).
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WithNamespace(namespace).
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Request()
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s.Require().NoError(err)
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s.Equal(namespace, searchReq.GetNamespace())
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queryReq, err := NewQueryOption(collName).
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WithNamespace(namespace).
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Request()
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s.Require().NoError(err)
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s.Equal(namespace, queryReq.GetNamespace())
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hybridReq, err := NewHybridSearchOption(collName, 10, NewAnnRequest("vector", 10, entity.FloatVector([]float32{0.1, 0.2}))).
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WithNamespace(namespace).
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HybridRequest()
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s.Require().NoError(err)
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s.Equal(namespace, hybridReq.GetNamespace())
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}
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func (s *SearchOptionSuite) TestQueryOrderByFields() {
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collName := "query_order_by"
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queryReq, err := NewQueryOption(collName).
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WithFilter("price > 50").
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WithLimit(10).
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WithOrderByFields("price:desc", "name:asc").
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Request()
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s.Require().NoError(err)
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queryParams := entity.KvPairsMap(queryReq.GetQueryParams())
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s.Equal("price:desc,name:asc", queryParams[spOrderByFields])
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s.Equal("10", queryParams[spLimit])
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}
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func (s *SearchOptionSuite) TestPlaceHolder() {
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type testCase struct {
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tag string
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input []entity.Vector
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expectError bool
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expectType commonpb.PlaceholderType
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}
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sparse, err := entity.NewSliceSparseEmbedding([]uint32{0, 10, 12}, []float32{0.1, 0.2, 0.3})
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s.Require().NoError(err)
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cases := []*testCase{
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{
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tag: "empty_input",
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input: nil,
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expectType: commonpb.PlaceholderType_None,
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},
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{
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tag: "float_vector",
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input: []entity.Vector{entity.FloatVector([]float32{0.1, 0.2, 0.3})},
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expectType: commonpb.PlaceholderType_FloatVector,
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},
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{
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tag: "sparse_vector",
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input: []entity.Vector{sparse},
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expectType: commonpb.PlaceholderType_SparseFloatVector,
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},
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{
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tag: "fp16_vector",
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input: []entity.Vector{entity.Float16Vector([]byte{})},
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expectType: commonpb.PlaceholderType_Float16Vector,
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},
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{
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tag: "bf16_vector",
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input: []entity.Vector{entity.BFloat16Vector([]byte{})},
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expectType: commonpb.PlaceholderType_BFloat16Vector,
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},
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{
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tag: "binary_vector",
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input: []entity.Vector{entity.BinaryVector([]byte{})},
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expectType: commonpb.PlaceholderType_BinaryVector,
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},
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{
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tag: "int8_vector",
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input: []entity.Vector{entity.Int8Vector([]int8{})},
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expectType: commonpb.PlaceholderType_Int8Vector,
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},
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{
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tag: "text",
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input: []entity.Vector{entity.Text("abc")},
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expectType: commonpb.PlaceholderType_VarChar,
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},
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{
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tag: "emb_list_float",
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input: []entity.Vector{entity.FloatVectorArray{entity.FloatVector([]float32{0.1, 0.2})}},
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expectType: commonpb.PlaceholderType_EmbListFloatVector,
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},
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{
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tag: "emb_list_fp16",
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input: []entity.Vector{entity.Float16VectorArray{entity.Float16Vector([]byte{})}},
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expectType: commonpb.PlaceholderType_EmbListFloat16Vector,
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},
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{
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tag: "emb_list_bf16",
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input: []entity.Vector{entity.BFloat16VectorArray{entity.BFloat16Vector([]byte{})}},
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expectType: commonpb.PlaceholderType_EmbListBFloat16Vector,
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},
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{
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tag: "emb_list_binary",
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input: []entity.Vector{entity.BinaryVectorArray{entity.BinaryVector([]byte{})}},
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expectType: commonpb.PlaceholderType_EmbListBinaryVector,
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},
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{
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tag: "emb_list_int8",
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input: []entity.Vector{entity.Int8VectorArray{entity.Int8Vector([]int8{})}},
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expectType: commonpb.PlaceholderType_EmbListInt8Vector,
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},
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{
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tag: "non_supported",
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input: []entity.Vector{nonSupportData{}},
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expectError: true,
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},
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}
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for _, tc := range cases {
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s.Run(tc.tag, func() {
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phv, err := vector2Placeholder(tc.input)
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if tc.expectError {
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s.Error(err)
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} else {
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s.NoError(err)
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s.Equal(tc.expectType, phv.GetType())
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}
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})
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}
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}
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func (s *SearchOptionSuite) TestSearchAggregationOption() {
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opt := NewSearchOption("coll", 100, []entity.Vector{entity.FloatVector([]float32{0.1, 0.2})}).
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WithSearchAggregation(
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NewSearchAggregation([]string{"brand"}, 3).
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WithMetric("count_all", "count", "*").
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WithTopHits(NewTopHits(2).WithSort("_score", "asc")),
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)
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req, err := opt.Request()
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s.Require().NoError(err)
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s.NotNil(req.GetSearchAggregation())
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s.Equal([]string{"brand"}, req.GetSearchAggregation().GetFields())
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s.EqualValues(3, req.GetSearchAggregation().GetSize())
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s.Equal("count", req.GetSearchAggregation().GetMetrics()["count_all"].GetOp())
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}
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func (s *SearchOptionSuite) TestSearchAggregationRejectsConflictingOptions() {
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base := func() *searchOption {
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return NewSearchOption("coll", 10, []entity.Vector{entity.FloatVector([]float32{0.1, 0.2})}).
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WithSearchAggregation(NewSearchAggregation([]string{"brand"}, 3))
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}
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cases := []struct {
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name string
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opt *searchOption
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msg string
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}{
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{
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name: "legacy group by field",
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opt: base().WithGroupByField("brand"),
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msg: "search_aggregation and group_by_field/group_size are mutually exclusive",
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},
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{
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name: "legacy group size",
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opt: base().WithGroupSize(2),
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msg: "search_aggregation and group_by_field/group_size are mutually exclusive",
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},
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{
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name: "legacy strict group size",
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opt: base().WithStrictGroupSize(true),
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msg: "search_aggregation and group_by_field/group_size are mutually exclusive",
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},
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{
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name: "offset",
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opt: base().WithOffset(1),
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msg: "offset is not supported with search_aggregation",
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},
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{
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name: "raw offset param",
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opt: base().WithSearchParam("offset", "1"),
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msg: "offset is not supported with search_aggregation",
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},
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{
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name: "raw group_by_field param",
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opt: base().WithSearchParam("group_by_field", "brand"),
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msg: "group_by_field and search_aggregation cannot be used simultaneously",
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},
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{
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name: "raw group_by_fields param",
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opt: base().WithSearchParam("group_by_fields", "brand,color"),
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msg: "group_by_fields and search_aggregation cannot be used simultaneously",
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},
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}
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for _, tc := range cases {
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s.Run(tc.name, func() {
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_, err := tc.opt.Request()
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s.Require().Error(err)
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s.Contains(err.Error(), tc.msg)
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})
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}
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}
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func TestSearchOption(t *testing.T) {
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suite.Run(t, new(SearchOptionSuite))
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}
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func TestAny2TmplValue(t *testing.T) {
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t.Run("primitives", func(t *testing.T) {
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t.Run("int", func(t *testing.T) {
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v := rand.Int()
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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assert.EqualValues(t, v, val.GetInt64Val())
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})
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t.Run("int32", func(t *testing.T) {
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v := rand.Int31()
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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assert.EqualValues(t, v, val.GetInt64Val())
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})
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t.Run("int64", func(t *testing.T) {
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v := rand.Int63()
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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assert.EqualValues(t, v, val.GetInt64Val())
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})
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t.Run("float32", func(t *testing.T) {
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v := rand.Float32()
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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assert.EqualValues(t, v, val.GetFloatVal())
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})
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t.Run("float64", func(t *testing.T) {
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v := rand.Float64()
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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assert.EqualValues(t, v, val.GetFloatVal())
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})
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t.Run("bool", func(t *testing.T) {
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val, err := any2TmplValue(true)
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assert.NoError(t, err)
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assert.True(t, val.GetBoolVal())
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})
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t.Run("string", func(t *testing.T) {
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v := fmt.Sprintf("%v", rand.Int())
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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assert.EqualValues(t, v, val.GetStringVal())
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})
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})
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t.Run("slice", func(t *testing.T) {
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t.Run("int", func(t *testing.T) {
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l := rand.Intn(10) + 1
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v := make([]int, 0, l)
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for i := 0; i < l; i++ {
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v = append(v, rand.Int())
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}
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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data := val.GetArrayVal().GetLongData().GetData()
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assert.Equal(t, l, len(data))
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for i, val := range data {
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assert.EqualValues(t, v[i], val)
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}
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})
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t.Run("int32", func(t *testing.T) {
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l := rand.Intn(10) + 1
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v := make([]int32, 0, l)
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for i := 0; i < l; i++ {
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v = append(v, rand.Int31())
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}
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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data := val.GetArrayVal().GetLongData().GetData()
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assert.Equal(t, l, len(data))
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for i, val := range data {
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assert.EqualValues(t, v[i], val)
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}
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})
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t.Run("int64", func(t *testing.T) {
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l := rand.Intn(10) + 1
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v := make([]int64, 0, l)
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for i := 0; i < l; i++ {
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v = append(v, rand.Int63())
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}
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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data := val.GetArrayVal().GetLongData().GetData()
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assert.Equal(t, l, len(data))
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for i, val := range data {
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assert.EqualValues(t, v[i], val)
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}
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})
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t.Run("float32", func(t *testing.T) {
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l := rand.Intn(10) + 1
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v := make([]float32, 0, l)
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for i := 0; i < l; i++ {
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v = append(v, rand.Float32())
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}
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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data := val.GetArrayVal().GetDoubleData().GetData()
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assert.Equal(t, l, len(data))
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for i, val := range data {
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assert.EqualValues(t, v[i], val)
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}
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})
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t.Run("float64", func(t *testing.T) {
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l := rand.Intn(10) + 1
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v := make([]float64, 0, l)
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for i := 0; i < l; i++ {
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v = append(v, rand.Float64())
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}
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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data := val.GetArrayVal().GetDoubleData().GetData()
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assert.Equal(t, l, len(data))
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for i, val := range data {
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assert.EqualValues(t, v[i], val)
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}
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})
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t.Run("bool", func(t *testing.T) {
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l := rand.Intn(10) + 1
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v := make([]bool, 0, l)
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for i := 0; i < l; i++ {
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v = append(v, rand.Int()%2 == 0)
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}
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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data := val.GetArrayVal().GetBoolData().GetData()
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assert.Equal(t, l, len(data))
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for i, val := range data {
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assert.EqualValues(t, v[i], val)
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}
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})
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t.Run("string", func(t *testing.T) {
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l := rand.Intn(10) + 1
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v := make([]string, 0, l)
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for i := 0; i < l; i++ {
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v = append(v, fmt.Sprintf("%v", rand.Int()))
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}
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val, err := any2TmplValue(v)
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assert.NoError(t, err)
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data := val.GetArrayVal().GetStringData().GetData()
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assert.Equal(t, l, len(data))
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for i, val := range data {
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assert.EqualValues(t, v[i], val)
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}
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})
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})
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t.Run("unsupported", func(*testing.T) {
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_, err := any2TmplValue(struct{}{})
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assert.Error(t, err)
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_, err = any2TmplValue([]struct{}{})
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assert.Error(t, err)
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})
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}
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func (s *SearchOptionSuite) TestSearchByIDs() {
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collName := "search_by_ids_test"
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limit := 10
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s.Run("int64_ids", func() {
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ids := column.NewColumnInt64("id", []int64{1, 2, 3, 4, 5})
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opt := NewSearchByIDsOption(collName, limit, ids)
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opt = opt.WithANNSField("vector_field").WithConsistencyLevel(entity.ClStrong)
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req, err := opt.Request()
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s.Require().NoError(err)
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s.Equal(collName, req.GetCollectionName())
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s.Equal(int64(5), req.GetNq()) // 5 IDs
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s.NotNil(req.GetIds())
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s.Equal([]int64{1, 2, 3, 4, 5}, req.GetIds().GetIntId().GetData())
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})
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s.Run("varchar_ids", func() {
|
|
ids := column.NewColumnVarChar("id", []string{"a", "b", "c"})
|
|
opt := NewSearchByIDsOption(collName, limit, ids)
|
|
|
|
req, err := opt.Request()
|
|
s.Require().NoError(err)
|
|
|
|
s.Equal(int64(3), req.GetNq()) // 3 IDs
|
|
s.NotNil(req.GetIds())
|
|
s.Equal([]string{"a", "b", "c"}, req.GetIds().GetStrId().GetData())
|
|
})
|
|
|
|
s.Run("empty_ids_error", func() {
|
|
ids := column.NewColumnInt64("id", []int64{})
|
|
opt := NewSearchByIDsOption(collName, limit, ids)
|
|
|
|
_, err := opt.Request()
|
|
s.Error(err)
|
|
s.Contains(err.Error(), "cannot be empty")
|
|
})
|
|
|
|
s.Run("with_filter", func() {
|
|
ids := column.NewColumnInt64("id", []int64{1, 2, 3})
|
|
opt := NewSearchByIDsOption(collName, limit, ids).
|
|
WithFilter("status == 'active'").
|
|
WithANNSField("vector")
|
|
|
|
req, err := opt.Request()
|
|
s.Require().NoError(err)
|
|
|
|
s.Equal("status == 'active'", req.GetDsl())
|
|
s.Equal(int64(3), req.GetNq())
|
|
})
|
|
|
|
s.Run("with_output_fields", func() {
|
|
ids := column.NewColumnInt64("id", []int64{1, 2})
|
|
opt := NewSearchByIDsOption(collName, limit, ids).
|
|
WithOutputFields("id", "name", "vector")
|
|
|
|
req, err := opt.Request()
|
|
s.Require().NoError(err)
|
|
|
|
s.ElementsMatch([]string{"id", "name", "vector"}, req.GetOutputFields())
|
|
})
|
|
|
|
s.Run("single_id", func() {
|
|
ids := column.NewColumnInt64("id", []int64{42})
|
|
opt := NewSearchByIDsOption(collName, limit, ids)
|
|
|
|
req, err := opt.Request()
|
|
s.Require().NoError(err)
|
|
|
|
s.Equal(int64(1), req.GetNq())
|
|
s.Equal([]int64{42}, req.GetIds().GetIntId().GetData())
|
|
})
|
|
|
|
s.Run("unsupported_id_type_error", func() {
|
|
// Float column is not a valid primary key type
|
|
ids := column.NewColumnFloat("id", []float32{1.0, 2.0})
|
|
opt := NewSearchByIDsOption(collName, limit, ids)
|
|
|
|
_, err := opt.Request()
|
|
s.Error(err)
|
|
s.Contains(err.Error(), "failed to convert IDs column")
|
|
s.Contains(err.Error(), "unsupported primary key type")
|
|
})
|
|
}
|
|
|
|
func TestColumn2IDs(t *testing.T) {
|
|
t.Run("int64_column", func(t *testing.T) {
|
|
col := column.NewColumnInt64("pk", []int64{100, 200, 300})
|
|
ids, err := column2IDs(col)
|
|
assert.NoError(t, err)
|
|
assert.NotNil(t, ids.GetIntId())
|
|
assert.Equal(t, []int64{100, 200, 300}, ids.GetIntId().GetData())
|
|
})
|
|
|
|
t.Run("varchar_column", func(t *testing.T) {
|
|
col := column.NewColumnVarChar("pk", []string{"id1", "id2", "id3"})
|
|
ids, err := column2IDs(col)
|
|
assert.NoError(t, err)
|
|
assert.NotNil(t, ids.GetStrId())
|
|
assert.Equal(t, []string{"id1", "id2", "id3"}, ids.GetStrId().GetData())
|
|
})
|
|
|
|
t.Run("string_column", func(t *testing.T) {
|
|
col := column.NewColumnString("pk", []string{"str1", "str2"})
|
|
ids, err := column2IDs(col)
|
|
assert.NoError(t, err)
|
|
assert.NotNil(t, ids.GetStrId())
|
|
assert.Equal(t, []string{"str1", "str2"}, ids.GetStrId().GetData())
|
|
})
|
|
|
|
t.Run("nil_column_error", func(t *testing.T) {
|
|
_, err := column2IDs(nil)
|
|
assert.Error(t, err)
|
|
assert.Contains(t, err.Error(), "cannot be nil")
|
|
})
|
|
|
|
t.Run("unsupported_type_error", func(t *testing.T) {
|
|
col := column.NewColumnFloat("pk", []float32{1.0, 2.0})
|
|
_, err := column2IDs(col)
|
|
assert.Error(t, err)
|
|
assert.Contains(t, err.Error(), "unsupported primary key type")
|
|
})
|
|
}
|
|
|
|
func TestAnnRequestWithIDs(t *testing.T) {
|
|
t.Run("basic_with_ids", func(t *testing.T) {
|
|
ids := column.NewColumnInt64("pk", []int64{1, 2, 3})
|
|
req := NewAnnRequest("vector_field", 10)
|
|
req.WithIDs(ids)
|
|
|
|
searchReq, err := req.searchRequest()
|
|
assert.NoError(t, err)
|
|
assert.Equal(t, int64(3), searchReq.GetNq())
|
|
assert.NotNil(t, searchReq.GetIds())
|
|
})
|
|
|
|
t.Run("ids_override_vectors", func(t *testing.T) {
|
|
// When IDs are set, vectors should be ignored
|
|
vectors := []entity.Vector{entity.FloatVector([]float32{0.1, 0.2, 0.3})}
|
|
ids := column.NewColumnInt64("pk", []int64{1, 2})
|
|
|
|
req := NewAnnRequest("vector_field", 10, vectors...)
|
|
req.WithIDs(ids)
|
|
|
|
searchReq, err := req.searchRequest()
|
|
assert.NoError(t, err)
|
|
// Nq should be based on IDs count, not vectors count
|
|
assert.Equal(t, int64(2), searchReq.GetNq())
|
|
assert.NotNil(t, searchReq.GetIds())
|
|
assert.Nil(t, searchReq.GetPlaceholderGroup())
|
|
})
|
|
|
|
t.Run("with_search_params", func(t *testing.T) {
|
|
ids := column.NewColumnInt64("pk", []int64{1, 2, 3})
|
|
req := NewAnnRequest("vector_field", 10).
|
|
WithIDs(ids).
|
|
WithSearchParam("nprobe", "16").
|
|
WithFilter("category == 'A'")
|
|
|
|
searchReq, err := req.searchRequest()
|
|
assert.NoError(t, err)
|
|
assert.Equal(t, "category == 'A'", searchReq.GetDsl())
|
|
|
|
params := entity.KvPairsMap(searchReq.GetSearchParams())
|
|
assert.Equal(t, "16", params["nprobe"])
|
|
})
|
|
}
|