本文整理匯總了Java中org.apache.hadoop.mapreduce.Job.setSortComparatorClass方法的典型用法代碼示例。如果您正苦於以下問題：Java Job.setSortComparatorClass方法的具體用法？Java Job.setSortComparatorClass怎麽用？Java Job.setSortComparatorClass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.setSortComparatorClass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: testComparator
import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
private void testComparator(String keySpec, int expect)
throws Exception {
String root = System.getProperty("test.build.data", "/tmp");
Path inDir = new Path(root, "test_cmp/in");
Path outDir = new Path(root, "test_cmp/out");
conf.set("mapreduce.partition.keycomparator.options", keySpec);
conf.set("mapreduce.partition.keypartitioner.options", "-k1.1,1.1");
conf.set(MRJobConfig.MAP_OUTPUT_KEY_FIELD_SEPERATOR, " ");
Job job = MapReduceTestUtil.createJob(conf, inDir, outDir, 1, 1,
line1 +"\n" + line2 + "\n");
job.setMapperClass(InverseMapper.class);
job.setReducerClass(Reducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(LongWritable.class);
job.setSortComparatorClass(KeyFieldBasedComparator.class);
job.setPartitionerClass(KeyFieldBasedPartitioner.class);
job.waitForCompletion(true);
assertTrue(job.isSuccessful());
// validate output
Path[] outputFiles = FileUtil.stat2Paths(getFileSystem().listStatus(outDir,
new Utils.OutputFileUtils.OutputFilesFilter()));
if (outputFiles.length > 0) {
InputStream is = getFileSystem().open(outputFiles[0]);
BufferedReader reader = new BufferedReader(new InputStreamReader(is));
String line = reader.readLine();
//make sure we get what we expect as the first line, and also
//that we have two lines (both the lines must end up in the same
//reducer since the partitioner takes the same key spec for all
//lines
if (expect == 1) {
assertTrue(line.startsWith(line1));
} else if (expect == 2) {
assertTrue(line.startsWith(line2));
}
line = reader.readLine();
if (expect == 1) {
assertTrue(line.startsWith(line2));
} else if (expect == 2) {
assertTrue(line.startsWith(line1));
}
reader.close();
}
}
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);
}