本文整理汇总了Java中org.apache.hadoop.mapreduce.Job.setMapSpeculativeExecution方法的典型用法代码示例。如果您正苦于以下问题：Java Job.setMapSpeculativeExecution方法的具体用法？Java Job.setMapSpeculativeExecution怎么用？Java Job.setMapSpeculativeExecution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.setMapSpeculativeExecution方法的2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: doMapReduce
import org.apache.hadoop.mapreduce.Job; //导入方法依赖的package包/类
/**
* 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; //导入方法依赖的package包/类
/**
* 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");
}
}