anmolnar commented on code in PR #7149: URL: https://github.com/apache/hbase/pull/7149#discussion_r2344943944
########## hbase-server/src/main/java/org/apache/hadoop/hbase/master/procedure/RefreshHFilesRegionProcedure.java: ########## @@ -0,0 +1,132 @@ +/* + * Licensed to the Apache Software Foundation (ASF) 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 org.apache.hadoop.hbase.master.procedure; + +import java.io.IOException; +import java.util.Optional; +import org.apache.hadoop.hbase.ServerName; +import org.apache.hadoop.hbase.TableName; +import org.apache.hadoop.hbase.client.RegionInfo; +import org.apache.hadoop.hbase.master.assignment.RegionStateNode; +import org.apache.hadoop.hbase.master.assignment.RegionStates; +import org.apache.hadoop.hbase.procedure2.FailedRemoteDispatchException; +import org.apache.hadoop.hbase.procedure2.Procedure; +import org.apache.hadoop.hbase.procedure2.ProcedureStateSerializer; +import org.apache.hadoop.hbase.procedure2.ProcedureSuspendedException; +import org.apache.hadoop.hbase.procedure2.ProcedureYieldException; +import org.apache.hadoop.hbase.procedure2.RemoteProcedureDispatcher; +import org.apache.hadoop.hbase.procedure2.RemoteProcedureException; +import org.apache.hadoop.hbase.regionserver.RefreshHFilesCallable; +import org.apache.yetus.audience.InterfaceAudience; + +import org.apache.hadoop.hbase.shaded.protobuf.ProtobufUtil; +import org.apache.hadoop.hbase.shaded.protobuf.generated.MasterProcedureProtos; + [email protected] +public class RefreshHFilesRegionProcedure extends Procedure<MasterProcedureEnv> + implements TableProcedureInterface, + RemoteProcedureDispatcher.RemoteProcedure<MasterProcedureEnv, ServerName> { + private RegionInfo region; + + public RefreshHFilesRegionProcedure() { + } + + public RefreshHFilesRegionProcedure(RegionInfo region) { + this.region = region; + } + + @Override + protected void deserializeStateData(ProcedureStateSerializer serializer) throws IOException { + MasterProcedureProtos.RefreshHFilesRegionProcedureStateData data = + serializer.deserialize(MasterProcedureProtos.RefreshHFilesRegionProcedureStateData.class); + this.region = ProtobufUtil.toRegionInfo(data.getRegion()); + // TODO Get the Data from region server + } + + @Override + protected void serializeStateData(ProcedureStateSerializer serializer) throws IOException { + MasterProcedureProtos.RefreshHFilesRegionProcedureStateData.Builder builder = + MasterProcedureProtos.RefreshHFilesRegionProcedureStateData.newBuilder(); + builder.setRegion(ProtobufUtil.toRegionInfo(region)); + // TODO add data that you want to pass to region server + serializer.serialize(builder.build()); + } + + @Override + protected boolean abort(MasterProcedureEnv env) { + return false; + } + + @Override + protected void rollback(MasterProcedureEnv env) throws IOException, InterruptedException { + throw new UnsupportedOperationException(); + } + + @Override + protected Procedure<MasterProcedureEnv>[] execute(MasterProcedureEnv env) + throws ProcedureYieldException, ProcedureSuspendedException, InterruptedException { + RegionStates regionStates = env.getAssignmentManager().getRegionStates(); + RegionStateNode regionNode = regionStates.getRegionStateNode(region); Review Comment: Based on AWS [blogpost](https://aws.amazon.com/blogs/big-data/setting-up-read-replica-clusters-with-hbase-on-amazon-s3/) compactions can be enabled on the active cluster, however I don't fully understand the following statement: > On the primary cluster: > If compactions are enabled, run a compaction to avoid inconsistencies when major compactions are triggered (minor compactions are handled). Run a compaction where? On the active/primary cluster? What does "minor compactions are handled" mean? Anyway, I think anything could happen on the active cluster with regions and HFiles, therefore clients of the read replica cluster should be prepared for all kinds of read errors. In order to get the read replica cluster consistent with the primary user has to manually run the following steps (as mentioned in AWS blogpost too): On the read replica: 1. Run ‘refresh_hfiles’ when: Records are added/modified for a table. 2. Run ‘refresh_meta’ when: Regions have changed (splits, compacts) or any table metadata has been modified (tables added/removed) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
