mirror of https://github.com/milvus-io/milvus.git
126 lines
4.0 KiB
Go
126 lines
4.0 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 ratelimit
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import (
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"context"
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"testing"
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"github.com/stretchr/testify/suite"
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"go.uber.org/zap"
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"google.golang.org/protobuf/proto"
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"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/log"
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"github.com/milvus-io/milvus/pkg/util/funcutil"
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"github.com/milvus-io/milvus/pkg/util/merr"
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"github.com/milvus-io/milvus/pkg/util/metric"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type FlushSuite struct {
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integration.MiniClusterSuite
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indexType string
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metricType string
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vecType schemapb.DataType
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}
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func (s *FlushSuite) TestFlush() {
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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c := s.Cluster
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const (
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dim = 128
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dbName = ""
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rowNum = 3000
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)
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s.indexType = integration.IndexFaissIvfFlat
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s.metricType = metric.L2
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s.vecType = schemapb.DataType_FloatVector
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collectionName := "TestFlush_" + funcutil.GenRandomStr()
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schema := integration.ConstructSchemaOfVecDataType(collectionName, dim, true, s.vecType)
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marshaledSchema, err := proto.Marshal(schema)
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s.NoError(err)
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createCollectionStatus, err := c.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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Schema: marshaledSchema,
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ShardsNum: common.DefaultShardsNum,
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})
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err = merr.CheckRPCCall(createCollectionStatus, err)
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s.NoError(err)
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log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
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showCollectionsResp, err := c.MilvusClient.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
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err = merr.CheckRPCCall(showCollectionsResp.GetStatus(), err)
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s.NoError(err)
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log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
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var fVecColumn *schemapb.FieldData
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if s.vecType == schemapb.DataType_SparseFloatVector {
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fVecColumn = integration.NewSparseFloatVectorFieldData(integration.SparseFloatVecField, rowNum)
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} else {
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fVecColumn = integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
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}
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hashKeys := integration.GenerateHashKeys(rowNum)
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insertResult, err := c.MilvusClient.Insert(ctx, &milvuspb.InsertRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldsData: []*schemapb.FieldData{fVecColumn},
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HashKeys: hashKeys,
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NumRows: uint32(rowNum),
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})
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err = merr.CheckRPCCall(insertResult.GetStatus(), err)
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s.NoError(err)
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// flush 1
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flushResp, err := c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
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DbName: dbName,
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CollectionNames: []string{collectionName},
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})
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err = merr.CheckRPCCall(flushResp.GetStatus(), err)
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s.NoError(err)
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// flush 2
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flushResp, err = c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
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DbName: dbName,
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CollectionNames: []string{collectionName},
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})
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s.NoError(err)
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s.True(merr.ErrServiceRateLimit.Is(merr.Error(flushResp.GetStatus())))
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status, err := c.MilvusClient.DropCollection(ctx, &milvuspb.DropCollectionRequest{
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CollectionName: collectionName,
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})
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err = merr.CheckRPCCall(status, err)
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s.NoError(err)
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log.Info("TestFlush succeed")
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}
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func TestFlush(t *testing.T) {
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suite.Run(t, new(FlushSuite))
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}
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