MAPREDUCE-5159. Change ValueAggregatorJob to add APIs which can support binary compatibility with hadoop-1 examples. Contributed by Zhijie Shen.
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1480394 13f79535-47bb-0310-9956-ffa450edef68
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@ -221,6 +221,9 @@ Release 2.0.5-beta - UNRELEASED
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MAPREDUCE-5036. Default shuffle handler port should not be 8080.
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MAPREDUCE-5036. Default shuffle handler port should not be 8080.
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(Sandy Ryza via tomwhite)
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(Sandy Ryza via tomwhite)
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MAPREDUCE-5159. Change ValueAggregatorJob to add APIs which can support
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binary compatibility with hadoop-1 examples. (Zhijie Shen via vinodkv)
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OPTIMIZATIONS
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OPTIMIZATIONS
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MAPREDUCE-4974. Optimising the LineRecordReader initialize() method
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MAPREDUCE-4974. Optimising the LineRecordReader initialize() method
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@ -102,15 +102,17 @@ public static JobControl createValueAggregatorJobs(String args[]) throws IOExcep
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/**
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/**
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* Create an Aggregate based map/reduce job.
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* Create an Aggregate based map/reduce job.
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*
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*
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* @param args the arguments used for job creation. Generic hadoop
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* @param args the arguments used for job creation. Generic hadoop
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* arguments are accepted.
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* arguments are accepted.
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* @param caller the the caller class.
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* @return a JobConf object ready for submission.
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* @return a JobConf object ready for submission.
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*
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*
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* @throws IOException
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* @throws IOException
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* @see GenericOptionsParser
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* @see GenericOptionsParser
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*/
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*/
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public static JobConf createValueAggregatorJob(String args[])
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@SuppressWarnings("rawtypes")
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public static JobConf createValueAggregatorJob(String args[], Class<?> caller)
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throws IOException {
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throws IOException {
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Configuration conf = new Configuration();
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Configuration conf = new Configuration();
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@ -159,7 +161,7 @@ public static JobConf createValueAggregatorJob(String args[])
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}
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}
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String userJarFile = theJob.get("user.jar.file");
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String userJarFile = theJob.get("user.jar.file");
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if (userJarFile == null) {
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if (userJarFile == null) {
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theJob.setJarByClass(ValueAggregator.class);
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theJob.setJarByClass(caller != null ? caller : ValueAggregatorJob.class);
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} else {
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} else {
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theJob.setJar(userJarFile);
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theJob.setJar(userJarFile);
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}
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}
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@ -183,6 +185,21 @@ public static JobConf createValueAggregatorJob(String args[])
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return theJob;
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return theJob;
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}
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}
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/**
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* Create an Aggregate based map/reduce job.
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*
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* @param args the arguments used for job creation. Generic hadoop
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* arguments are accepted.
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* @return a JobConf object ready for submission.
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*
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* @throws IOException
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* @see GenericOptionsParser
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*/
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public static JobConf createValueAggregatorJob(String args[])
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throws IOException {
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return createValueAggregatorJob(args, ValueAggregator.class);
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}
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public static JobConf createValueAggregatorJob(String args[]
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public static JobConf createValueAggregatorJob(String args[]
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, Class<? extends ValueAggregatorDescriptor>[] descriptors)
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, Class<? extends ValueAggregatorDescriptor>[] descriptors)
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throws IOException {
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throws IOException {
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@ -199,7 +216,15 @@ public static void setAggregatorDescriptors(JobConf job
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job.set("aggregator.descriptor." + i, "UserDefined," + descriptors[i].getName());
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job.set("aggregator.descriptor." + i, "UserDefined," + descriptors[i].getName());
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}
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}
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}
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}
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public static JobConf createValueAggregatorJob(String args[],
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Class<? extends ValueAggregatorDescriptor>[] descriptors,
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Class<?> caller) throws IOException {
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JobConf job = createValueAggregatorJob(args, caller);
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setAggregatorDescriptors(job, descriptors);
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return job;
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}
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/**
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/**
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* create and run an Aggregate based map/reduce job.
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* create and run an Aggregate based map/reduce job.
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*
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*
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