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MAPREDUCE-5159. Change ValueAggregatorJob to add APIs which can support binary compatibility with hadoop-1 examples. Contributed by Zhijie Shen.

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git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1480394 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Vinod Kumar Vavilapalli 2013-05-08 18:28:22 +00:00
parent 8dee15abe3
commit 8888d3fc49
2 changed files with 33 additions and 5 deletions
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3
hadoop-mapreduce-project/CHANGES.txt
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@ -221,6 +221,9 @@ Release 2.0.5-beta - UNRELEASED
MAPREDUCE-5036. Default shuffle handler port should not be 8080.
(Sandy Ryza via tomwhite)
MAPREDUCE-5159. Change ValueAggregatorJob to add APIs which can support
binary compatibility with hadoop-1 examples. (Zhijie Shen via vinodkv)
OPTIMIZATIONS
MAPREDUCE-4974. Optimising the LineRecordReader initialize() method

35
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapred/lib/aggregate/ValueAggregatorJob.java
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@ -102,15 +102,17 @@ public static JobControl createValueAggregatorJobs(String args[]) throws IOExcep
/**
* Create an Aggregate based map/reduce job.
*
*
* @param args the arguments used for job creation. Generic hadoop
* arguments are accepted.
* @param caller the the caller class.
* @return a JobConf object ready for submission.
*
*
* @throws IOException
* @see GenericOptionsParser
*/
public static JobConf createValueAggregatorJob(String args[])
@SuppressWarnings("rawtypes")
public static JobConf createValueAggregatorJob(String args[], Class<?> caller)
throws IOException {
Configuration conf = new Configuration();
@ -159,7 +161,7 @@ public static JobConf createValueAggregatorJob(String args[])
}
String userJarFile = theJob.get("user.jar.file");
if (userJarFile == null) {
theJob.setJarByClass(ValueAggregator.class);
theJob.setJarByClass(caller != null ? caller : ValueAggregatorJob.class);
} else {
theJob.setJar(userJarFile);
}
@ -183,6 +185,21 @@ public static JobConf createValueAggregatorJob(String args[])
return theJob;
}
/**
* Create an Aggregate based map/reduce job.
*
* @param args the arguments used for job creation. Generic hadoop
* arguments are accepted.
* @return a JobConf object ready for submission.
*
* @throws IOException
* @see GenericOptionsParser
*/
public static JobConf createValueAggregatorJob(String args[])
throws IOException {
return createValueAggregatorJob(args, ValueAggregator.class);
}
public static JobConf createValueAggregatorJob(String args[]
, Class<? extends ValueAggregatorDescriptor>[] descriptors)
throws IOException {
@ -199,7 +216,15 @@ public static void setAggregatorDescriptors(JobConf job
job.set("aggregator.descriptor." + i, "UserDefined," + descriptors[i].getName());
}
}
public static JobConf createValueAggregatorJob(String args[],
Class<? extends ValueAggregatorDescriptor>[] descriptors,
Class<?> caller) throws IOException {
JobConf job = createValueAggregatorJob(args, caller);
setAggregatorDescriptors(job, descriptors);
return job;
}
/**
* create and run an Aggregate based map/reduce job.
*