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Deploy MapReduce Client Plugin & Configurations
Deploy MapReduce Client Plugin & Configurations
Deploy MapReduce Client Plugin & Configurations
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.

Deploy MapReduce Client Plugin & Configurations

Deploy MapReduce Client Plugin

  1. Add client jar to the classpath of each NodeManager, e.g., /share/hadoop/mapreduce/

The jar for MapReduce is located in <RSS_HOME>/jars/client/mr/rss-client-mr-XXXXX-shaded.jar

  1. Update MapReduce conf to enable Uniffle, e.g.

    -Dmapreduce.rss.coordinator.quorum=<coordinatorIp1>:19999,<coordinatorIp2>:19999
-Dyarn.app.mapreduce.am.command-opts=org.apache.hadoop.mapreduce.v2.app.RssMRAppMaster
-Dmapreduce.job.map.output.collector.class=org.apache.hadoop.mapred.RssMapOutputCollector
-Dmapreduce.job.reduce.shuffle.consumer.plugin.class=org.apache.hadoop.mapreduce.task.reduce.RssShuffle

Note that the RssMRAppMaster will automatically disable slow start (i.e., mapreduce.job.reduce.slowstart.completedmaps=1) and job recovery (i.e., yarn.app.mapreduce.am.job.recovery.enable=false)

MapReduce Specific Configurations

Property Name Default Description
mapreduce.rss.client.max.buffer.size 3k The max buffer size in map side
mapreduce.rss.client.batch.trigger.num 50 The max batch of buffers to send data in map side

Remote Spill (Experimental)

In cloud environment, VM may have very limited disk space and performance. This experimental feature allows reduce tasks to spill data to remote storage (e.g., hdfs)

Property Name Default Description
mapreduce.rss.reduce.remote.spill.enable false Whether to use remote spill
mapreduce.rss.reduce.remote.spill.attempt.inc 1 Increase reduce attempts as Hadoop FS may be easier to crash than disk
mapreduce.rss.reduce.remote.spill.replication 1 The replication number to spill data to Hadoop FS
mapreduce.rss.reduce.remote.spill.retries 5 The retry number to spill data to Hadoop FS

Notice: this feature requires the MEMORY_LOCAL_HADOOP mode.