本文整理汇总了Java中org.apache.hadoop.mapreduce.Job.setSpeculativeExecution方法的典型用法代码示例。如果您正苦于以下问题：Java Job.setSpeculativeExecution方法的具体用法？Java Job.setSpeculativeExecution怎么用？Java Job.setSpeculativeExecution使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.hadoop.mapreduce.Job的用法示例。
在下文中一共展示了Job.setSpeculativeExecution方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: createJob
import org.apache.hadoop.mapreduce.Job; //导入方法依赖的package包/类
public Job createJob()
throws IOException {
Configuration conf = getConf();
conf.setInt(MRJobConfig.NUM_MAPS, 1);
Job job = Job.getInstance(conf, "test");
job.setNumReduceTasks(1);
job.setJarByClass(CredentialsTestJob.class);
job.setNumReduceTasks(1);
job.setMapperClass(CredentialsTestJob.CredentialsTestMapper.class);
job.setMapOutputKeyClass(IntWritable.class);
job.setMapOutputValueClass(NullWritable.class);
job.setReducerClass(CredentialsTestJob.CredentialsTestReducer.class);
job.setInputFormatClass(SleepJob.SleepInputFormat.class);
job.setPartitionerClass(SleepJob.SleepJobPartitioner.class);
job.setOutputFormatClass(NullOutputFormat.class);
job.setSpeculativeExecution(false);
job.setJobName("test job");
FileInputFormat.addInputPath(job, new Path("ignored"));
return job;
}
示例2: createJob
import org.apache.hadoop.mapreduce.Job; //导入方法依赖的package包/类
public Job createJob(boolean failMappers, boolean failReducers, Path inputFile)
throws IOException {
Configuration conf = getConf();
conf.setBoolean(FAIL_MAP, failMappers);
conf.setBoolean(FAIL_REDUCE, failReducers);
Job job = Job.getInstance(conf, "fail");
job.setJarByClass(FailJob.class);
job.setMapperClass(FailMapper.class);
job.setMapOutputKeyClass(LongWritable.class);
job.setMapOutputValueClass(NullWritable.class);
job.setReducerClass(FailReducer.class);
job.setOutputFormatClass(NullOutputFormat.class);
job.setInputFormatClass(TextInputFormat.class);
job.setSpeculativeExecution(false);
job.setJobName("Fail job");
FileInputFormat.addInputPath(job, inputFile);
return job;
}
示例3: testRandomWriter
import org.apache.hadoop.mapreduce.Job; //导入方法依赖的package包/类
@Test (timeout = 60000)
public void testRandomWriter() throws IOException, InterruptedException,
ClassNotFoundException {
LOG.info("\n\n\nStarting testRandomWriter().");
if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
+ " not found. Not running test.");
return;
}
RandomTextWriterJob randomWriterJob = new RandomTextWriterJob();
mrCluster.getConfig().set(RandomTextWriterJob.TOTAL_BYTES, "3072");
mrCluster.getConfig().set(RandomTextWriterJob.BYTES_PER_MAP, "1024");
Job job = randomWriterJob.createJob(mrCluster.getConfig());
Path outputDir = new Path(OUTPUT_ROOT_DIR, "random-output");
FileOutputFormat.setOutputPath(job, outputDir);
job.setSpeculativeExecution(false);
job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
job.setJarByClass(RandomTextWriterJob.class);
job.setMaxMapAttempts(1); // speed up failures
job.submit();
String trackingUrl = job.getTrackingURL();
String jobId = job.getJobID().toString();
boolean succeeded = job.waitForCompletion(true);
Assert.assertTrue(succeeded);
Assert.assertEquals(JobStatus.State.SUCCEEDED, job.getJobState());
Assert.assertTrue("Tracking URL was " + trackingUrl +
" but didn't Match Job ID " + jobId ,
trackingUrl.endsWith(jobId.substring(jobId.lastIndexOf("_")) + "/"));
// Make sure there are three files in the output-dir
RemoteIterator<FileStatus> iterator =
FileContext.getFileContext(mrCluster.getConfig()).listStatus(
outputDir);
int count = 0;
while (iterator.hasNext()) {
FileStatus file = iterator.next();
if (!file.getPath().getName()
.equals(FileOutputCommitter.SUCCEEDED_FILE_NAME)) {
count++;
}
}
Assert.assertEquals("Number of part files is wrong!", 3, count);
verifyRandomWriterCounters(job);
// TODO later: add explicit "isUber()" checks of some sort
}