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a1232fafda
#30633 Signed-off-by: wayblink <anyang.wang@zilliz.com> Co-authored-by: MrPresent-Han <chun.han@zilliz.com>
412 lines
15 KiB
Go
412 lines
15 KiB
Go
package delegator
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import (
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"context"
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"testing"
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"github.com/golang/protobuf/proto"
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"github.com/stretchr/testify/suite"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/parser/planparserv2"
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"github.com/milvus-io/milvus/internal/proto/internalpb"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/internal/util/clustering"
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"github.com/milvus-io/milvus/internal/util/testutil"
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"github.com/milvus-io/milvus/pkg/util/paramtable"
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"github.com/milvus-io/milvus/pkg/util/typeutil"
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)
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type SegmentPrunerSuite struct {
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suite.Suite
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partitionStats map[UniqueID]*storage.PartitionStatsSnapshot
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schema *schemapb.CollectionSchema
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collectionName string
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primaryFieldName string
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clusterKeyFieldName string
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autoID bool
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targetPartition int64
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dim int
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sealedSegments []SnapshotItem
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}
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func (sps *SegmentPrunerSuite) SetupForClustering(clusterKeyFieldName string,
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clusterKeyFieldType schemapb.DataType,
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) {
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sps.collectionName = "test_segment_prune"
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sps.primaryFieldName = "pk"
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sps.clusterKeyFieldName = clusterKeyFieldName
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sps.autoID = true
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sps.dim = 8
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fieldName2DataType := make(map[string]schemapb.DataType)
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fieldName2DataType[sps.primaryFieldName] = schemapb.DataType_Int64
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fieldName2DataType[sps.clusterKeyFieldName] = clusterKeyFieldType
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fieldName2DataType["info"] = schemapb.DataType_VarChar
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fieldName2DataType["age"] = schemapb.DataType_Int64
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fieldName2DataType["vec"] = schemapb.DataType_FloatVector
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sps.schema = testutil.ConstructCollectionSchemaWithKeys(sps.collectionName,
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fieldName2DataType,
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sps.primaryFieldName,
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"",
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sps.clusterKeyFieldName,
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false,
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sps.dim)
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var clusteringKeyFieldID int64 = 0
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for _, field := range sps.schema.GetFields() {
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if field.IsClusteringKey {
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clusteringKeyFieldID = field.FieldID
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break
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}
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}
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centroids1 := []storage.VectorFieldValue{
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&storage.FloatVectorFieldValue{
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Value: []float32{0.6951474, 0.45225978, 0.51508516, 0.24968886, 0.6085484, 0.964968, 0.32239532, 0.7771577},
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},
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}
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centroids2 := []storage.VectorFieldValue{
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&storage.FloatVectorFieldValue{
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Value: []float32{0.12345678, 0.23456789, 0.34567890, 0.45678901, 0.56789012, 0.67890123, 0.78901234, 0.89012345},
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},
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}
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centroids3 := []storage.VectorFieldValue{
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&storage.FloatVectorFieldValue{
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Value: []float32{0.98765432, 0.87654321, 0.76543210, 0.65432109, 0.54321098, 0.43210987, 0.32109876, 0.21098765},
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},
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}
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centroids4 := []storage.VectorFieldValue{
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&storage.FloatVectorFieldValue{
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Value: []float32{0.11111111, 0.22222222, 0.33333333, 0.44444444, 0.55555555, 0.66666666, 0.77777777, 0.88888888},
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},
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}
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// init partition stats
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// here, for convenience, we set up both min/max and Centroids
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// into the same struct, in the real user cases, a field stat
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// can either contain min&&max or centroids
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segStats := make(map[UniqueID]storage.SegmentStats)
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switch clusterKeyFieldType {
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case schemapb.DataType_Int64, schemapb.DataType_Int32, schemapb.DataType_Int16, schemapb.DataType_Int8:
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_Int64,
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Min: storage.NewInt64FieldValue(100),
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Max: storage.NewInt64FieldValue(200),
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Centroids: centroids1,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[1] = *storage.NewSegmentStats(fieldStats, 80)
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}
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_Int64,
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Min: storage.NewInt64FieldValue(100),
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Max: storage.NewInt64FieldValue(400),
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Centroids: centroids2,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[2] = *storage.NewSegmentStats(fieldStats, 80)
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}
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_Int64,
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Min: storage.NewInt64FieldValue(600),
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Max: storage.NewInt64FieldValue(900),
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Centroids: centroids3,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[3] = *storage.NewSegmentStats(fieldStats, 80)
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}
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_Int64,
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Min: storage.NewInt64FieldValue(500),
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Max: storage.NewInt64FieldValue(1000),
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Centroids: centroids4,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[4] = *storage.NewSegmentStats(fieldStats, 80)
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}
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default:
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_VarChar,
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Min: storage.NewStringFieldValue("ab"),
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Max: storage.NewStringFieldValue("bbc"),
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Centroids: centroids1,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[1] = *storage.NewSegmentStats(fieldStats, 80)
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}
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_VarChar,
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Min: storage.NewStringFieldValue("hhh"),
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Max: storage.NewStringFieldValue("jjx"),
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Centroids: centroids2,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[2] = *storage.NewSegmentStats(fieldStats, 80)
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}
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_VarChar,
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Min: storage.NewStringFieldValue("kkk"),
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Max: storage.NewStringFieldValue("lmn"),
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Centroids: centroids3,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[3] = *storage.NewSegmentStats(fieldStats, 80)
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}
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{
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fieldStats := make([]storage.FieldStats, 0)
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fieldStat1 := storage.FieldStats{
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FieldID: clusteringKeyFieldID,
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Type: schemapb.DataType_VarChar,
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Min: storage.NewStringFieldValue("oo2"),
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Max: storage.NewStringFieldValue("pptt"),
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Centroids: centroids4,
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}
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fieldStats = append(fieldStats, fieldStat1)
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segStats[4] = *storage.NewSegmentStats(fieldStats, 80)
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}
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}
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sps.partitionStats = make(map[UniqueID]*storage.PartitionStatsSnapshot)
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sps.targetPartition = 11111
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sps.partitionStats[sps.targetPartition] = &storage.PartitionStatsSnapshot{
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SegmentStats: segStats,
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}
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sealedSegments := make([]SnapshotItem, 0)
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item1 := SnapshotItem{
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NodeID: 1,
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Segments: []SegmentEntry{
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{
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NodeID: 1,
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SegmentID: 1,
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},
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{
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NodeID: 1,
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SegmentID: 2,
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},
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},
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}
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item2 := SnapshotItem{
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NodeID: 2,
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Segments: []SegmentEntry{
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{
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NodeID: 2,
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SegmentID: 3,
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},
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{
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NodeID: 2,
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SegmentID: 4,
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},
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},
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}
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sealedSegments = append(sealedSegments, item1)
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sealedSegments = append(sealedSegments, item2)
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sps.sealedSegments = sealedSegments
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}
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func (sps *SegmentPrunerSuite) TestPruneSegmentsByScalarIntField() {
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sps.SetupForClustering("age", schemapb.DataType_Int32)
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paramtable.Init()
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targetPartitions := make([]UniqueID, 0)
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targetPartitions = append(targetPartitions, sps.targetPartition)
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{
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// test for exact values
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testSegments := make([]SnapshotItem, len(sps.sealedSegments))
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copy(testSegments, sps.sealedSegments)
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exprStr := "age==156"
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schemaHelper, _ := typeutil.CreateSchemaHelper(sps.schema)
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planNode, err := planparserv2.CreateRetrievePlan(schemaHelper, exprStr)
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sps.NoError(err)
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serializedPlan, _ := proto.Marshal(planNode)
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queryReq := &internalpb.RetrieveRequest{
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SerializedExprPlan: serializedPlan,
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PartitionIDs: targetPartitions,
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}
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PruneSegments(context.TODO(), sps.partitionStats, nil, queryReq, sps.schema, testSegments, PruneInfo{paramtable.Get().QueryNodeCfg.DefaultSegmentFilterRatio.GetAsFloat()})
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sps.Equal(2, len(testSegments[0].Segments))
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sps.Equal(0, len(testSegments[1].Segments))
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}
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{
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// test for range one expr part
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testSegments := make([]SnapshotItem, len(sps.sealedSegments))
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copy(testSegments, sps.sealedSegments)
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exprStr := "age>=700"
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schemaHelper, _ := typeutil.CreateSchemaHelper(sps.schema)
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planNode, err := planparserv2.CreateRetrievePlan(schemaHelper, exprStr)
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sps.NoError(err)
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serializedPlan, _ := proto.Marshal(planNode)
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queryReq := &internalpb.RetrieveRequest{
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SerializedExprPlan: serializedPlan,
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PartitionIDs: targetPartitions,
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}
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PruneSegments(context.TODO(), sps.partitionStats, nil, queryReq, sps.schema, testSegments, PruneInfo{paramtable.Get().QueryNodeCfg.DefaultSegmentFilterRatio.GetAsFloat()})
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sps.Equal(0, len(testSegments[0].Segments))
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sps.Equal(2, len(testSegments[1].Segments))
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}
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{
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// test for unlogical binary range
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testSegments := make([]SnapshotItem, len(sps.sealedSegments))
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copy(testSegments, sps.sealedSegments)
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exprStr := "age>=700 and age<=500"
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schemaHelper, _ := typeutil.CreateSchemaHelper(sps.schema)
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planNode, err := planparserv2.CreateRetrievePlan(schemaHelper, exprStr)
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sps.NoError(err)
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serializedPlan, _ := proto.Marshal(planNode)
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queryReq := &internalpb.RetrieveRequest{
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SerializedExprPlan: serializedPlan,
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PartitionIDs: targetPartitions,
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}
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PruneSegments(context.TODO(), sps.partitionStats, nil, queryReq, sps.schema, testSegments, PruneInfo{paramtable.Get().QueryNodeCfg.DefaultSegmentFilterRatio.GetAsFloat()})
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sps.Equal(2, len(testSegments[0].Segments))
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sps.Equal(2, len(testSegments[1].Segments))
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}
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{
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// test for unlogical binary range
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testSegments := make([]SnapshotItem, len(sps.sealedSegments))
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copy(testSegments, sps.sealedSegments)
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exprStr := "age>=500 and age<=550"
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schemaHelper, _ := typeutil.CreateSchemaHelper(sps.schema)
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planNode, err := planparserv2.CreateRetrievePlan(schemaHelper, exprStr)
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sps.NoError(err)
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serializedPlan, _ := proto.Marshal(planNode)
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queryReq := &internalpb.RetrieveRequest{
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SerializedExprPlan: serializedPlan,
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PartitionIDs: targetPartitions,
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}
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PruneSegments(context.TODO(), sps.partitionStats, nil, queryReq, sps.schema, testSegments, PruneInfo{paramtable.Get().QueryNodeCfg.DefaultSegmentFilterRatio.GetAsFloat()})
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sps.Equal(0, len(testSegments[0].Segments))
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sps.Equal(1, len(testSegments[1].Segments))
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}
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}
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func (sps *SegmentPrunerSuite) TestPruneSegmentsByScalarStrField() {
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sps.SetupForClustering("info", schemapb.DataType_VarChar)
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paramtable.Init()
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targetPartitions := make([]UniqueID, 0)
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targetPartitions = append(targetPartitions, sps.targetPartition)
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{
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// test for exact str values
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testSegments := make([]SnapshotItem, len(sps.sealedSegments))
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copy(testSegments, sps.sealedSegments)
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exprStr := `info=="rag"`
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schemaHelper, _ := typeutil.CreateSchemaHelper(sps.schema)
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planNode, err := planparserv2.CreateRetrievePlan(schemaHelper, exprStr)
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sps.NoError(err)
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serializedPlan, _ := proto.Marshal(planNode)
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queryReq := &internalpb.RetrieveRequest{
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SerializedExprPlan: serializedPlan,
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PartitionIDs: targetPartitions,
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}
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PruneSegments(context.TODO(), sps.partitionStats, nil, queryReq, sps.schema, testSegments, PruneInfo{paramtable.Get().QueryNodeCfg.DefaultSegmentFilterRatio.GetAsFloat()})
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sps.Equal(0, len(testSegments[0].Segments))
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sps.Equal(0, len(testSegments[1].Segments))
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// there should be no segments fulfilling the info=="rag"
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}
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{
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// test for exact str values
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testSegments := make([]SnapshotItem, len(sps.sealedSegments))
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copy(testSegments, sps.sealedSegments)
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exprStr := `info=="kpl"`
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schemaHelper, _ := typeutil.CreateSchemaHelper(sps.schema)
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planNode, err := planparserv2.CreateRetrievePlan(schemaHelper, exprStr)
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sps.NoError(err)
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serializedPlan, _ := proto.Marshal(planNode)
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queryReq := &internalpb.RetrieveRequest{
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SerializedExprPlan: serializedPlan,
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PartitionIDs: targetPartitions,
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}
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PruneSegments(context.TODO(), sps.partitionStats, nil, queryReq, sps.schema, testSegments, PruneInfo{paramtable.Get().QueryNodeCfg.DefaultSegmentFilterRatio.GetAsFloat()})
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sps.Equal(0, len(testSegments[0].Segments))
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sps.Equal(1, len(testSegments[1].Segments))
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// there should be no segments fulfilling the info=="rag"
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}
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{
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// test for unary str values
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testSegments := make([]SnapshotItem, len(sps.sealedSegments))
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copy(testSegments, sps.sealedSegments)
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exprStr := `info<="less"`
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schemaHelper, _ := typeutil.CreateSchemaHelper(sps.schema)
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planNode, err := planparserv2.CreateRetrievePlan(schemaHelper, exprStr)
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sps.NoError(err)
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serializedPlan, _ := proto.Marshal(planNode)
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queryReq := &internalpb.RetrieveRequest{
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SerializedExprPlan: serializedPlan,
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PartitionIDs: targetPartitions,
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}
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PruneSegments(context.TODO(), sps.partitionStats, nil, queryReq, sps.schema, testSegments, PruneInfo{paramtable.Get().QueryNodeCfg.DefaultSegmentFilterRatio.GetAsFloat()})
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sps.Equal(2, len(testSegments[0].Segments))
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sps.Equal(1, len(testSegments[1].Segments))
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// there should be no segments fulfilling the info=="rag"
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}
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}
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func vector2Placeholder(vectors [][]float32) *commonpb.PlaceholderValue {
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ph := &commonpb.PlaceholderValue{
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Tag: "$0",
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Values: make([][]byte, 0, len(vectors)),
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}
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if len(vectors) == 0 {
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return ph
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}
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ph.Type = commonpb.PlaceholderType_FloatVector
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for _, vector := range vectors {
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ph.Values = append(ph.Values, clustering.SerializeFloatVector(vector))
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}
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return ph
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}
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func (sps *SegmentPrunerSuite) TestPruneSegmentsByVectorField() {
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paramtable.Init()
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sps.SetupForClustering("vec", schemapb.DataType_FloatVector)
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vector1 := []float32{0.8877872002188053, 0.6131822285635065, 0.8476814632326242, 0.6645877829359371, 0.9962627712600025, 0.8976183052440327, 0.41941169325798844, 0.7554387854258499}
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vector2 := []float32{0.8644394874390322, 0.023327886647378615, 0.08330118483461302, 0.7068040179963112, 0.6983994910799851, 0.5562075958994153, 0.3288536247938002, 0.07077341010237759}
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vectors := [][]float32{vector1, vector2}
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phg := &commonpb.PlaceholderGroup{
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Placeholders: []*commonpb.PlaceholderValue{
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vector2Placeholder(vectors),
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},
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}
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bs, _ := proto.Marshal(phg)
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// test for L2 metrics
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req := &internalpb.SearchRequest{
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MetricType: "L2",
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PlaceholderGroup: bs,
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PartitionIDs: []UniqueID{sps.targetPartition},
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Topk: 100,
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}
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PruneSegments(context.TODO(), sps.partitionStats, req, nil, sps.schema, sps.sealedSegments, PruneInfo{1})
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sps.Equal(1, len(sps.sealedSegments[0].Segments))
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sps.Equal(int64(1), sps.sealedSegments[0].Segments[0].SegmentID)
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sps.Equal(1, len(sps.sealedSegments[1].Segments))
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sps.Equal(int64(3), sps.sealedSegments[1].Segments[0].SegmentID)
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}
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func TestSegmentPrunerSuite(t *testing.T) {
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suite.Run(t, new(SegmentPrunerSuite))
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}
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