本文整理匯總了Java中org.apache.hadoop.mapreduce.Job.setGroupingComparatorClass方法的典型用法代碼示例。如果您正苦於以下問題：Java Job.setGroupingComparatorClass方法的具體用法？Java Job.setGroupingComparatorClass怎麽用？Java Job.setGroupingComparatorClass使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.hadoop.mapreduce.Job的用法示例。
在下文中一共展示了Job.setGroupingComparatorClass方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: main
import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
if (otherArgs.length != 2) {
System.err.println("Usage: secondarysort <in> <out>");
System.exit(2);
}
Job job = Job.getInstance(conf, "secondary sort");
job.setJarByClass(SecondarySort.class);
job.setMapperClass(MapClass.class);
job.setReducerClass(Reduce.class);
// group and partition by the first int in the pair
job.setPartitionerClass(FirstPartitioner.class);
job.setGroupingComparatorClass(FirstGroupingComparator.class);
// the map output is IntPair, IntWritable
job.setMapOutputKeyClass(IntPair.class);
job.setMapOutputValueClass(IntWritable.class);
// the reduce output is Text, IntWritable
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
示例2: runCheck
import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
/**
* After adding data to the table start a mr job to
* @throws IOException
* @throws ClassNotFoundException
* @throws InterruptedException
*/
private void runCheck() throws IOException, ClassNotFoundException, InterruptedException {
LOG.info("Running check");
Configuration conf = getConf();
String jobName = getTablename() + "_check" + EnvironmentEdgeManager.currentTime();
Path p = util.getDataTestDirOnTestFS(jobName);
Job job = new Job(conf);
job.setJarByClass(getClass());
job.setJobName(jobName);
job.setPartitionerClass(NaturalKeyPartitioner.class);
job.setGroupingComparatorClass(NaturalKeyGroupingComparator.class);
job.setSortComparatorClass(CompositeKeyComparator.class);
Scan scan = new Scan();
scan.addFamily(CHAIN_FAM);
scan.addFamily(SORT_FAM);
scan.setMaxVersions(1);
scan.setCacheBlocks(false);
scan.setBatch(1000);
int replicaCount = conf.getInt(NUM_REPLICA_COUNT_KEY, NUM_REPLICA_COUNT_DEFAULT);
if (replicaCount != NUM_REPLICA_COUNT_DEFAULT) {
scan.setConsistency(Consistency.TIMELINE);
}
TableMapReduceUtil.initTableMapperJob(
getTablename().getName(),
scan,
LinkedListCheckingMapper.class,
LinkKey.class,
LinkChain.class,
job
);
job.setReducerClass(LinkedListCheckingReducer.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(NullWritable.class);
FileOutputFormat.setOutputPath(job, p);
assertEquals(true, job.waitForCompletion(true));
// Delete the files.
util.getTestFileSystem().delete(p, true);
}