milvus/tests/integration/upsert/upsert_test.go

162 lines
5.0 KiB
Go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package upsert
import (
"context"
"fmt"
"testing"
"github.com/golang/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/util/funcutil"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvus/pkg/util/metric"
"github.com/milvus-io/milvus/tests/integration"
"github.com/stretchr/testify/suite"
"go.uber.org/zap"
)
type UpsertSuite struct {
integration.MiniClusterSuite
}
func (s *UpsertSuite) TestUpsert() {
c := s.Cluster
ctx, cancel := context.WithCancel(c.GetContext())
defer cancel()
prefix := "TestUpsert"
dbName := ""
collectionName := prefix + funcutil.GenRandomStr()
dim := 128
rowNum := 3000
schema := integration.ConstructSchema(collectionName, dim, false)
marshaledSchema, err := proto.Marshal(schema)
s.NoError(err)
createCollectionStatus, err := c.Proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
DbName: dbName,
CollectionName: collectionName,
Schema: marshaledSchema,
ShardsNum: common.DefaultShardsNum,
})
s.NoError(err)
err = merr.Error(createCollectionStatus)
if err != nil {
log.Warn("createCollectionStatus fail reason", zap.Error(err))
}
log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
showCollectionsResp, err := c.Proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
s.NoError(err)
s.True(merr.Ok(showCollectionsResp.GetStatus()))
log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
pkFieldData := integration.NewInt64FieldData(integration.Int64Field, rowNum)
fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
hashKeys := integration.GenerateHashKeys(rowNum)
upsertResult, err := c.Proxy.Upsert(ctx, &milvuspb.UpsertRequest{
DbName: dbName,
CollectionName: collectionName,
FieldsData: []*schemapb.FieldData{pkFieldData, fVecColumn},
HashKeys: hashKeys,
NumRows: uint32(rowNum),
})
s.NoError(err)
s.True(merr.Ok(upsertResult.GetStatus()))
// flush
flushResp, err := c.Proxy.Flush(ctx, &milvuspb.FlushRequest{
DbName: dbName,
CollectionNames: []string{collectionName},
})
s.NoError(err)
segmentIDs, has := flushResp.GetCollSegIDs()[collectionName]
s.True(has)
ids := segmentIDs.GetData()
s.NotEmpty(segmentIDs)
segments, err := c.MetaWatcher.ShowSegments()
s.NoError(err)
s.NotEmpty(segments)
for _, segment := range segments {
log.Info("ShowSegments result", zap.String("segment", segment.String()))
}
s.WaitForFlush(ctx, ids)
// create index
createIndexStatus, err := c.Proxy.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
CollectionName: collectionName,
FieldName: integration.FloatVecField,
IndexName: "_default",
ExtraParams: integration.ConstructIndexParam(dim, integration.IndexFaissIvfFlat, metric.IP),
})
s.NoError(err)
err = merr.Error(createIndexStatus)
if err != nil {
log.Warn("createIndexStatus fail reason", zap.Error(err))
}
s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
// load
loadStatus, err := c.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
DbName: dbName,
CollectionName: collectionName,
})
s.NoError(err)
err = merr.Error(loadStatus)
if err != nil {
log.Warn("LoadCollection fail reason", zap.Error(err))
}
s.WaitForLoad(ctx, collectionName)
// search
expr := fmt.Sprintf("%s > 0", integration.Int64Field)
nq := 10
topk := 10
roundDecimal := -1
params := integration.GetSearchParams(integration.IndexFaissIvfFlat, "")
searchReq := integration.ConstructSearchRequest("", collectionName, expr,
integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, nq, dim, topk, roundDecimal)
searchResult, _ := c.Proxy.Search(ctx, searchReq)
err = merr.Error(searchResult.GetStatus())
if err != nil {
log.Warn("searchResult fail reason", zap.Error(err))
}
s.NoError(err)
log.Info("==================")
log.Info("==================")
log.Info("TestUpsert succeed")
log.Info("==================")
log.Info("==================")
}
func TestUpsert(t *testing.T) {
suite.Run(t, new(UpsertSuite))
}