本文整理匯總了Java中org.apache.hadoop.mapreduce.Job.setMapSpeculativeExecution方法的典型用法代碼示例。如果您正苦於以下問題：Java Job.setMapSpeculativeExecution方法的具體用法？Java Job.setMapSpeculativeExecution怎麽用？Java Job.setMapSpeculativeExecution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.setMapSpeculativeExecution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: doMapReduce
import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
/**
* Execute compaction, using a Map-Reduce job.
*/
private int doMapReduce(final FileSystem fs, final Set<Path> toCompactDirs,
final boolean compactOnce, final boolean major) throws Exception {
Configuration conf = getConf();
conf.setBoolean(CONF_COMPACT_ONCE, compactOnce);
conf.setBoolean(CONF_COMPACT_MAJOR, major);
Job job = new Job(conf);
job.setJobName("CompactionTool");
job.setJarByClass(CompactionTool.class);
job.setMapperClass(CompactionMapper.class);
job.setInputFormatClass(CompactionInputFormat.class);
job.setOutputFormatClass(NullOutputFormat.class);
job.setMapSpeculativeExecution(false);
job.setNumReduceTasks(0);
// add dependencies (including HBase ones)
TableMapReduceUtil.addDependencyJars(job);
Path stagingDir = JobUtil.getStagingDir(conf);
try {
// Create input file with the store dirs
Path inputPath = new Path(stagingDir, "compact-"+ EnvironmentEdgeManager.currentTime());
CompactionInputFormat.createInputFile(fs, inputPath, toCompactDirs);
CompactionInputFormat.addInputPath(job, inputPath);
// Initialize credential for secure cluster
TableMapReduceUtil.initCredentials(job);
// Start the MR Job and wait
return job.waitForCompletion(true) ? 0 : 1;
} finally {
fs.delete(stagingDir, true);
}
}
示例2: runCopyJob
import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
/**
* Run Map-Reduce Job to perform the files copy.
*/
private void runCopyJob(final Path inputRoot, final Path outputRoot,
final String snapshotName, final Path snapshotDir, final boolean verifyChecksum,
final String filesUser, final String filesGroup, final int filesMode,
final int mappers, final int bandwidthMB)
throws IOException, InterruptedException, ClassNotFoundException {
Configuration conf = getConf();
if (filesGroup != null) conf.set(CONF_FILES_GROUP, filesGroup);
if (filesUser != null) conf.set(CONF_FILES_USER, filesUser);
if (mappers > 0) {
conf.setInt(CONF_NUM_SPLITS, mappers);
conf.setInt(MR_NUM_MAPS, mappers);
}
conf.setInt(CONF_FILES_MODE, filesMode);
conf.setBoolean(CONF_CHECKSUM_VERIFY, verifyChecksum);
conf.set(CONF_OUTPUT_ROOT, outputRoot.toString());
conf.set(CONF_INPUT_ROOT, inputRoot.toString());
conf.setInt(CONF_BANDWIDTH_MB, bandwidthMB);
conf.set(CONF_SNAPSHOT_NAME, snapshotName);
conf.set(CONF_SNAPSHOT_DIR, snapshotDir.toString());
Job job = new Job(conf);
job.setJobName("ExportSnapshot-" + snapshotName);
job.setJarByClass(ExportSnapshot.class);
TableMapReduceUtil.addDependencyJars(job);
job.setMapperClass(ExportMapper.class);
job.setInputFormatClass(ExportSnapshotInputFormat.class);
job.setOutputFormatClass(NullOutputFormat.class);
job.setMapSpeculativeExecution(false);
job.setNumReduceTasks(0);
// Acquire the delegation Tokens
Configuration srcConf = HBaseConfiguration.createClusterConf(conf, null, CONF_SOURCE_PREFIX);
TokenCache.obtainTokensForNamenodes(job.getCredentials(),
new Path[] { inputRoot }, srcConf);
Configuration destConf = HBaseConfiguration.createClusterConf(conf, null, CONF_DEST_PREFIX);
TokenCache.obtainTokensForNamenodes(job.getCredentials(),
new Path[] { outputRoot }, destConf);
// Run the MR Job
if (!job.waitForCompletion(true)) {
// TODO: Replace the fixed string with job.getStatus().getFailureInfo()
// when it will be available on all the supported versions.
throw new ExportSnapshotException("Copy Files Map-Reduce Job failed");
}
}