public static JobStatus downgrade(org.apache.hadoop.mapreduce.JobStatus stat) {
JobStatus old =
new JobStatus(
JobID.downgrade(stat.getJobID()),
stat.getSetupProgress(),
stat.getMapProgress(),
stat.getReduceProgress(),
stat.getCleanupProgress(),
stat.getState().getValue(),
JobPriority.valueOf(stat.getPriority().name()),
stat.getUsername(),
stat.getJobName(),
stat.getJobFile(),
stat.getTrackingUrl());
old.setStartTime(stat.getStartTime());
old.setFinishTime(stat.getFinishTime());
old.setSchedulingInfo(stat.getSchedulingInfo());
old.setHistoryFile(stat.getHistoryFile());
return old;
}
/** @return The jobid of the Job */
public JobID getJobID() {
return JobID.downgrade(super.getJobID());
}
/**
* Test job retire with tasks that report their *first* status only after the job retires. Steps :
* - Start a mini-mr cluster with 1 task-tracker having only map slots. Note that this
* task-tracker will take care of setup/cleanup and the map tasks. - Submit a job with 1 map task
* and 1 reduce task - Wait for the job to finish the map task - Start a 2nd tracker that waits
* for a long time after contacting the JT. - Wait for the 2nd tracker to get stuck - Kill the job
* - Wait for the job to retire - Check if the tip mappings are cleaned up.
*/
public void testJobRetireWithUnreportedTasks() throws Exception {
MiniMRCluster mr = null;
try {
JobConf conf = new JobConf();
// set the num-map-slots to 1 so that no reduce tasks but setup/cleanup
// can run on it
conf.setInt("mapred.tasktracker.map.tasks.maximum", 1);
conf.setInt("mapred.tasktracker.reduce.tasks.maximum", 0);
mr = startCluster(conf, 1);
JobTracker jobtracker = mr.getJobTrackerRunner().getJobTracker();
RunningJob job =
UtilsForTests.runJob(
mr.createJobConf(), new Path(testDir, "in-1"), new Path(testDir, "out-1"), 1, 1);
JobID id = JobID.downgrade(job.getID());
JobInProgress jip = jobtracker.getJob(id);
// wait 100 secs for the job to complete its map task
for (int i = 0; i < 1000 && jip.finishedMaps() < 1; i++) {
UtilsForTests.waitFor(100);
}
assertEquals(jip.finishedMaps(), 1);
// start a tracker that will wait
LOG.info("Adding a waiting tracker");
TaskTrackerRunner testTrackerRunner =
mr.new TaskTrackerRunner(1, 1, null, mr.createJobConf()) {
@Override
TaskTracker createTaskTracker(JobConf conf) throws InterruptedException, IOException {
return new WaitingTaskTracker(conf);
}
};
mr.addTaskTracker(testTrackerRunner);
LOG.info("Waiting tracker added");
WaitingTaskTracker testTT = (WaitingTaskTracker) testTrackerRunner.getTaskTracker();
// wait 100 secs for the newly started task-tracker to join
for (int i = 0; i < 1000 && jobtracker.taskTrackers().size() < 2; i++) {
UtilsForTests.waitFor(100);
}
assertEquals(jobtracker.taskTrackers().size(), 2);
LOG.info("Cluster is now up with 2 trackers");
// stop the test-tt as its no longer required
mr.stopTaskTracker(mr.getTaskTrackerID(testTT.getName()));
// 1 reduce task should be scheduled
assertEquals("TestTT contacted but no reduce task scheduled on it", 1, jip.runningReduces());
// kill the job
LOG.info("Killing job " + id);
job.killJob();
// check if the reduce task attempt status is missing
TaskInProgress tip = jip.getTasks(TaskType.REDUCE)[0];
assertNull(tip.getTaskStatus(tip.getAllTaskAttemptIDs()[0]));
// wait for the job to retire
waitTillRetire(id, jobtracker);
// check the taskidToTIPMap
for (TaskAttemptID tid : jobtracker.taskidToTIPMap.keySet()) {
LOG.info("TaskidToTIP : " + tid);
}
assertEquals("'taskid' to TIP mapping still exists", 0, jobtracker.taskidToTIPMap.size());
} finally {
if (mr != null) {
mr.shutdown();
}
// cleanup
FileUtil.fullyDelete(new File(testDir.toString()));
}
}
/** Test if {@link CurrentJHParser} can read events from current JH files. */
@Test
public void testCurrentJHParser() throws Exception {
final Configuration conf = new Configuration();
final FileSystem lfs = FileSystem.getLocal(conf);
final Path rootTempDir =
new Path(System.getProperty("test.build.data", "/tmp")).makeQualified(lfs);
final Path tempDir = new Path(rootTempDir, "TestCurrentJHParser");
lfs.delete(tempDir, true);
String queueName = "testQueue";
// Run a MR job
// create a MR cluster
conf.setInt("mapred.tasktracker.map.tasks.maximum", 1);
conf.setInt("mapred.tasktracker.reduce.tasks.maximum", 1);
conf.set("mapred.queue.names", queueName);
MiniMRCluster mrCluster = new MiniMRCluster(1, "file:///", 1, null, null, new JobConf(conf));
// run a job
Path inDir = new Path(tempDir, "input");
Path outDir = new Path(tempDir, "output");
JobHistoryParser parser = null;
RewindableInputStream ris = null;
ArrayList<String> seenEvents = new ArrayList<String>(10);
RunningJob rJob = null;
try {
JobConf jobConf = mrCluster.createJobConf();
jobConf.setQueueName(queueName);
// construct a job with 1 map and 1 reduce task.
rJob = UtilsForTests.runJob(jobConf, inDir, outDir, 1, 1);
rJob.waitForCompletion();
assertTrue("Job failed", rJob.isSuccessful());
JobID id = rJob.getID();
// get the jobhistory filepath
Path inputPath =
new Path(JobHistory.getHistoryFilePath(org.apache.hadoop.mapred.JobID.downgrade(id)));
// wait for 10 secs for the jobhistory file to move into the done folder
for (int i = 0; i < 100; ++i) {
if (lfs.exists(inputPath)) {
break;
}
TimeUnit.MILLISECONDS.wait(100);
}
assertTrue("Missing job history file", lfs.exists(inputPath));
InputDemuxer inputDemuxer = new DefaultInputDemuxer();
inputDemuxer.bindTo(inputPath, conf);
Pair<String, InputStream> filePair = inputDemuxer.getNext();
assertNotNull(filePair);
ris = new RewindableInputStream(filePair.second());
// Test if the JobHistoryParserFactory can detect the parser correctly
parser = JobHistoryParserFactory.getParser(ris);
// Get ParsedJob
String jobId = TraceBuilder.extractJobID(filePair.first());
JobBuilder builder = new JobBuilder(jobId);
HistoryEvent e;
while ((e = parser.nextEvent()) != null) {
String eventString = e.getEventType().toString();
System.out.println(eventString);
seenEvents.add(eventString);
if (builder != null) {
builder.process(e);
}
}
ParsedJob parsedJob = builder.build();
// validate the obtainXXX api of ParsedJob, ParsedTask and
// ParsedTaskAttempt.
validateParsedJob(parsedJob, 1, 1, queueName);
} finally {
// stop the MR cluster
mrCluster.shutdown();
if (ris != null) {
ris.close();
}
if (parser != null) {
parser.close();
}
// cleanup the filesystem
lfs.delete(tempDir, true);
}
// Check against the gold standard
System.out.println("testCurrentJHParser validating using gold std ");
String[] goldLines =
new String[] {
"JOB_SUBMITTED",
"JOB_PRIORITY_CHANGED",
"JOB_STATUS_CHANGED",
"JOB_INITED",
"JOB_INFO_CHANGED",
"TASK_STARTED",
"MAP_ATTEMPT_STARTED",
"MAP_ATTEMPT_FINISHED",
"MAP_ATTEMPT_FINISHED",
"TASK_UPDATED",
"TASK_FINISHED",
"JOB_STATUS_CHANGED",
"TASK_STARTED",
"MAP_ATTEMPT_STARTED",
"MAP_ATTEMPT_FINISHED",
"MAP_ATTEMPT_FINISHED",
"TASK_UPDATED",
"TASK_FINISHED",
"TASK_STARTED",
"MAP_ATTEMPT_STARTED",
"MAP_ATTEMPT_FINISHED",
"REDUCE_ATTEMPT_FINISHED",
"TASK_UPDATED",
"TASK_FINISHED",
"TASK_STARTED",
"MAP_ATTEMPT_STARTED",
"MAP_ATTEMPT_FINISHED",
"MAP_ATTEMPT_FINISHED",
"TASK_UPDATED",
"TASK_FINISHED",
"JOB_STATUS_CHANGED",
"JOB_FINISHED"
};
// Check the output with gold std
assertEquals("Size mismatch", goldLines.length, seenEvents.size());
int index = 0;
for (String goldLine : goldLines) {
assertEquals("Content mismatch", goldLine, seenEvents.get(index++));
}
}
