Project: Apache Hadoop (App Definition and Development / Database)
File: PluggableShuffleAndPluggableSort.md

<! Licensed 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. See accompanying LICENSE file. --> Hadoop: Pluggable Shuffle and Pluggable Sort ============================================ <!-- MACRO{toc|fromDepth=0|toDepth=3} --> Introduction The pluggable shuffle and pluggable sort capabilities allow replacing the built in shuffle and sort logic with alternate implementations. Example use cases for this are: using a different application protocol other than HTTP such as RDMA for shuffling data from the Map nodes to the Reducer nodes; or replacing the sort logic with custom algorithms that enable Hash aggregation and Limit-N query. IMPORTANT: The pluggable shuffle and pluggable sort capabilities are experimental and unstable. This means the provided APIs may change and break compatibility in future versions of Hadoop. Implementing a Custom Shuffle and a Custom Sort -- A custom shuffle implementation requires a `org.apache.hadoop.yarn.server.nodemanager.containermanager.AuxServices.AuxiliaryService` implementation class running in the NodeManagers and a `org.apache.hadoop.mapred.ShuffleConsumerPlugin` implementation class running in the Reducer tasks. The default implementations provided by Hadoop can be used as references: `org.apache.hadoop.mapred.ShuffleHandler` `org.apache.hadoop.mapreduce.task.reduce.Shuffle` A custom sort implementation requires a `org.apache.hadoop.mapred.MapOutputCollector` implementation class running in the Mapper tasks and (optionally, depending on the sort implementation) a `org.apache.hadoop.mapred.ShuffleConsumerPlugin` implementation class running in the Reducer tasks. The default implementations provided by Hadoop can be used as references: `org.apache.hadoop.mapred.MapTask$MapOutputBuffer` `org.apache.hadoop.mapreduce.task.reduce.Shuffle` Configuration Except for the auxiliary service running in the NodeManagers serving the shuffle (by default the `ShuffleHandler`), all the pluggable components run in the job tasks. This means, they can be configured on per job basis. The auxiliary service servicing the Shuffle must be configured in the NodeManagers configuration. | Property | Default Value | Explanation | |:- |:- |:- | | `mapreduce.job.reduce.shuffle.consumer.plugin.class` | `org.apache.hadoop.mapreduce.task.reduce.Shuffle` | The `ShuffleConsumerPlugin` implementation to use | | `mapreduce.job.map.output.collector.class` | `org.apache.hadoop.mapred.MapTask$MapOutputBuffer` | The `MapOutputCollector` implementation(s) to use | These properties can also be set in the `mapred-site.xml` to change the default values for all jobs. The collector class configuration may specify a comma-separated list of collector implementations. In this case, the map task will attempt to instantiate each in turn until one of the implementations successfully

This can be useful if a given collector implementation is only compatible with certain types of keys or values, for example. There are two ways to configure auxiliary services, through a manifest file or through the Configuration (the old way). If a manifest file is used, auxiliary service configurations are not read from the Configuration. If using a manifest, the feature must be enabled by setting the property `yarn.nodemanager.aux-services.manifest.enabled` to true in yarn-site.xml. The file path can be set in yarn-site.xml under the property `yarn.nodemanager.aux-services.manifest`, or the file may be sent to each NM via a PUT call to the endpoint `http://nm-http-address:port/ws/v1/node/auxiliaryservices`. If the file path is set in the Configuration, NMs will check this file for new modifications at an interval specified by `yarn.nodemanager.aux-services.manifest.reload-ms` (defaults to 0; setting interval <= 0 means it will not be reloaded automatically). Otherwise, set the following properties to configure aux services through the Configuration. | Property | Default Value | Explanation | |:- |:- |:- | | `yarn.nodemanager.aux-services` | `...,mapreduce_shuffle` | The auxiliary service name | | `yarn.nodemanager.aux-services.mapreduce_shuffle.class` | `org.apache.hadoop.mapred.ShuffleHandler` | The auxiliary service class to use | | `yarn.nodemanager.aux-services.%s.classpath` | NONE | local directory which includes the related jar file as well as all the dependencies jar file. We could specify the single jar file or use /dep/* to load all jars under the dep directory. | | `yarn.nodemanager.aux-services.%s.remote-classpath` | NONE | The remote absolute or relative path to jar file | Using manifest: ``` { "services": [ { "name": "mapreduce_shuffle", "version": "1", "configuration": { "properties": { "class.name": "org.apache.hadoop.mapred.ShuffleHandler" } } }, { "name": "AuxServiceFromHDFS", "version": "1", "configuration": { "properties": { "class.name": "org.apache.auxtest.AuxServiceFromHDFS2" }, "files": [ { "src_file": "hdfs:///aux/test/aux-service-hdfs.jar", "type": "STATIC" } ] } } ] } ``` Or using Configuration: ```xml <configuration> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle,AuxServiceFromHDFS</value> </property> <property> <name>yarn.nodemanager.aux-services.AuxServiceFromHDFS.remote-classpath</name> <value>/aux/test/aux-service-hdfs.jar</value> </property> <property> <name>yarn.nodemanager.aux-services.AuxServiceFromHDFS.class</name> <value>org.apache.auxtest.AuxServiceFromHDFS2</value> </property> </configuration> ``` Using manifest: ``` { "services": [ { "name": "mapreduce_shuffle", "version": "1", "configuration": { "properties": { "class.name": "org.apache.hadoop.mapred.ShuffleHandler" } } }, { "name": "AuxServiceFromHDFS", "version": "1", "configuration": { "properties": { "class.name": "org.apache.auxtest.AuxServiceFromHDFS2" }, "files": [ { "src_file": "file:///aux/test/aux-service-hdfs.jar", "type": "STATIC" } ] } } ] } ``` Or using Configuration: ```xml <configuration> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle,AuxServiceFromHDFS</value> </property> <property> <name>yarn.nodemanager.aux-services.AuxServiceFromHDFS.classpath</name> <value>/aux/test/aux-service-hdfs.jar</value> </property> <property> <name>yarn.nodemanager.aux-services.AuxServiceFromHDFS.class</name> <value>org.apache.auxtest.AuxServiceFromHDFS2</value> </property> </configuration> ``` IMPORTANT: If setting an auxiliary service in addition the default `mapreduce_shuffle` service, then a new service key should be added to the `yarn.nodemanager.aux-services` property, for example `mapred.shufflex`. Then the property defining the corresponding class must be `yarn.nodemanager.aux-services.mapreduce_shufflex.class`. Alternatively, if an aux services manifest file is used, the service should be added to the service list.