wei liu acb33bba4d
enhance: Preserve fixed-size memory in delegator node for growing segment. (#34596)
issue: #34595
When consuming insert data on the delegator node, QueryCoord will move
out some sealed segments to manage its memory usage. After the growing
segment gets flushed, some sealed segments from other workers will be
moved back to the delegator node. To avoid the frequent movement of
segments, we estimate the maximum growing row count and preserve a
fixed-size memory in the delegator node.

---------

Signed-off-by: Wei Liu <wei.liu@zilliz.com>
2024-07-15 20:51:46 +08:00

213 lines
6.3 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 balance
import (
"context"
"fmt"
"testing"
"time"
"github.com/stretchr/testify/suite"
"go.uber.org/atomic"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"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/internal/proto/querypb"
"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/pkg/util/paramtable"
"github.com/milvus-io/milvus/tests/integration"
)
const (
dim = 128
dbName = ""
)
type ReplicaTestSuit struct {
integration.MiniClusterSuite
}
func (s *ReplicaTestSuit) SetupSuite() {
paramtable.Init()
paramtable.Get().Save(paramtable.Get().QueryCoordCfg.BalanceCheckInterval.Key, "1000")
paramtable.Get().Save(paramtable.Get().QueryNodeCfg.GracefulStopTimeout.Key, "1")
s.Require().NoError(s.SetupEmbedEtcd())
}
func (s *ReplicaTestSuit) initCollection(collectionName string, replica int, channelNum int, segmentNum int, segmentRowNum int) {
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
s.CreateCollectionWithConfiguration(ctx, &integration.CreateCollectionConfig{
DBName: dbName,
Dim: dim,
CollectionName: collectionName,
ChannelNum: channelNum,
SegmentNum: segmentNum,
RowNumPerSegment: segmentRowNum,
})
for i := 1; i < replica; i++ {
s.Cluster.AddQueryNode()
}
// load
loadStatus, err := s.Cluster.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
DbName: dbName,
CollectionName: collectionName,
ReplicaNumber: int32(replica),
})
s.NoError(err)
s.Equal(commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
s.True(merr.Ok(loadStatus))
s.WaitForLoad(ctx, collectionName)
log.Info("initCollection Done")
}
func (s *ReplicaTestSuit) TestNodeDownOnSingleReplica() {
name := "test_balance_" + funcutil.GenRandomStr()
s.initCollection(name, 1, 2, 2, 2000)
ctx := context.Background()
qn := s.Cluster.AddQueryNode()
// check segment number on new querynode
s.Eventually(func() bool {
resp, err := qn.GetDataDistribution(ctx, &querypb.GetDataDistributionRequest{})
s.NoError(err)
s.True(merr.Ok(resp.GetStatus()))
return len(resp.Channels) == 1 && len(resp.Segments) == 2
}, 30*time.Second, 1*time.Second)
stopSearchCh := make(chan struct{})
failCounter := atomic.NewInt64(0)
go func() {
for {
select {
case <-stopSearchCh:
log.Info("stop search")
return
case <-time.After(time.Second):
expr := fmt.Sprintf("%s > 0", integration.Int64Field)
nq := 10
topk := 10
roundDecimal := -1
params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.L2)
searchReq := integration.ConstructSearchRequest("", name, expr,
integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
searchResult, err := s.Cluster.Proxy.Search(ctx, searchReq)
err = merr.CheckRPCCall(searchResult, err)
if err != nil {
failCounter.Inc()
}
}
}
}()
time.Sleep(10 * time.Second)
s.Equal(failCounter.Load(), int64(0))
// stop qn in single replica expected got search failures
qn.Stop()
s.Eventually(func() bool {
return failCounter.Load() > 0
}, 30*time.Second, 1*time.Second)
close(stopSearchCh)
}
func (s *ReplicaTestSuit) TestNodeDownOnMultiReplica() {
ctx := context.Background()
// init collection with 2 channel, each channel has 2 segment, each segment has 2000 row
// and load it with 2 replicas on 2 nodes.
// then we add 2 query node, after balance happens, expected each node have 1 channel and 2 segments
name := "test_balance_" + funcutil.GenRandomStr()
s.initCollection(name, 2, 2, 2, 2000)
resp, err := s.Cluster.Proxy.GetReplicas(ctx, &milvuspb.GetReplicasRequest{CollectionName: name})
s.NoError(err)
s.Len(resp.Replicas, 2)
// add a querynode, expected balance happens
qn1 := s.Cluster.AddQueryNode()
qn2 := s.Cluster.AddQueryNode()
// check segment num on new query node
s.Eventually(func() bool {
resp, err := qn1.GetDataDistribution(ctx, &querypb.GetDataDistributionRequest{})
s.NoError(err)
return len(resp.Channels) == 1 && len(resp.Segments) == 2
}, 30*time.Second, 1*time.Second)
s.Eventually(func() bool {
resp, err := qn2.GetDataDistribution(ctx, &querypb.GetDataDistributionRequest{})
s.NoError(err)
return len(resp.Channels) == 1 && len(resp.Segments) == 2
}, 30*time.Second, 1*time.Second)
stopSearchCh := make(chan struct{})
failCounter := atomic.NewInt64(0)
go func() {
for {
select {
case <-stopSearchCh:
log.Info("stop search")
return
case <-time.After(time.Second):
expr := fmt.Sprintf("%s > 0", integration.Int64Field)
nq := 10
topk := 10
roundDecimal := -1
params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.L2)
searchReq := integration.ConstructSearchRequest("", name, expr,
integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
searchResult, err := s.Cluster.Proxy.Search(ctx, searchReq)
err = merr.CheckRPCCall(searchResult, err)
if err != nil {
failCounter.Inc()
}
}
}
}()
time.Sleep(10 * time.Second)
s.Equal(failCounter.Load(), int64(0))
// stop qn in multi replica replica expected no search failures
qn1.Stop()
time.Sleep(20 * time.Second)
s.Equal(failCounter.Load(), int64(0))
close(stopSearchCh)
}
func TestReplicas(t *testing.T) {
suite.Run(t, new(ReplicaTestSuit))
}