mirror of
https://gitee.com/milvus-io/milvus.git
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127 lines
3.9 KiB
Go
127 lines
3.9 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 querynode
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import (
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"context"
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"math"
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"testing"
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"github.com/golang/protobuf/proto"
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"github.com/stretchr/testify/assert"
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"github.com/milvus-io/milvus/internal/common"
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"github.com/milvus-io/milvus/internal/proto/commonpb"
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"github.com/milvus-io/milvus/internal/proto/planpb"
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)
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func TestPlan_Plan(t *testing.T) {
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collectionID := UniqueID(0)
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schema := genTestCollectionSchema()
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collection := newCollection(collectionID, schema)
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dslString := "{\"bool\": { \n\"vector\": {\n \"floatVectorField\": {\n \"metric_type\": \"L2\", \n \"params\": {\n \"nprobe\": 10 \n},\n \"query\": \"$0\",\n \"topk\": 10 \n,\"round_decimal\": 6\n } \n } \n } \n }"
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plan, err := createSearchPlan(collection, dslString)
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assert.NoError(t, err)
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assert.NotEqual(t, plan, nil)
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topk := plan.getTopK()
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assert.Equal(t, int(topk), 10)
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metricType := plan.getMetricType()
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assert.Equal(t, metricType, "L2")
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plan.delete()
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deleteCollection(collection)
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}
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func TestPlan_createSearchPlanByExpr(t *testing.T) {
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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historical, err := genSimpleReplicaWithSealSegment(ctx)
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assert.NoError(t, err)
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col, err := historical.getCollectionByID(defaultCollectionID)
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assert.NoError(t, err)
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planNode := &planpb.PlanNode{
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OutputFieldIds: []FieldID{rowIDFieldID},
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}
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expr, err := proto.Marshal(planNode)
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assert.NoError(t, err)
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_, err = createSearchPlanByExpr(col, expr)
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assert.Error(t, err)
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}
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func TestPlan_NilCollection(t *testing.T) {
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collection := &Collection{
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id: defaultCollectionID,
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}
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_, err := createSearchPlan(collection, "")
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assert.Error(t, err)
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_, err = createSearchPlanByExpr(collection, nil)
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assert.Error(t, err)
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}
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func TestPlan_PlaceholderGroup(t *testing.T) {
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collectionID := UniqueID(0)
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schema := genTestCollectionSchema()
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collection := newCollection(collectionID, schema)
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dslString := "{\"bool\": { \n\"vector\": {\n \"floatVectorField\": {\n \"metric_type\": \"L2\", \n \"params\": {\n \"nprobe\": 10 \n},\n \"query\": \"$0\",\n \"topk\": 10 \n,\"round_decimal\": 6\n } \n } \n } \n }"
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plan, err := createSearchPlan(collection, dslString)
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assert.NoError(t, err)
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assert.NotNil(t, plan)
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var searchRawData1 []byte
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var searchRawData2 []byte
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var vec = generateFloatVectors(1, defaultDim)
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for i, ele := range vec {
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buf := make([]byte, 4)
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common.Endian.PutUint32(buf, math.Float32bits(ele+float32(i*2)))
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searchRawData1 = append(searchRawData1, buf...)
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}
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for i, ele := range vec {
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buf := make([]byte, 4)
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common.Endian.PutUint32(buf, math.Float32bits(ele+float32(i*4)))
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searchRawData2 = append(searchRawData2, buf...)
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}
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placeholderValue := commonpb.PlaceholderValue{
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Tag: "$0",
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Type: commonpb.PlaceholderType_FloatVector,
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Values: [][]byte{searchRawData1, searchRawData2},
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}
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placeholderGroup := commonpb.PlaceholderGroup{
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Placeholders: []*commonpb.PlaceholderValue{&placeholderValue},
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}
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placeGroupByte, err := proto.Marshal(&placeholderGroup)
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assert.Nil(t, err)
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holder, err := parseSearchRequest(plan, placeGroupByte)
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assert.NoError(t, err)
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assert.NotNil(t, holder)
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numQueries := holder.getNumOfQuery()
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assert.Equal(t, int(numQueries), 2)
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holder.delete()
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deleteCollection(collection)
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}
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