Examples with HeuristicResult com.linkedin.drelephant.analysis.HeuristicResult used on opensource projects

Example 31 with HeuristicResult

use of com.linkedin.drelephant.analysis.HeuristicResult in project dr-elephant by linkedin.

the class DistributedCacheLimitHeuristicTest method testHeuristicResultCacheFilesAndSizeLengthMismatch.

/**
 * File size not found for all the files in cache.
 */
@Test
public void testHeuristicResultCacheFilesAndSizeLengthMismatch() {
    jobConf.setProperty("mapreduce.job.cache.files.filesizes", "100,200");
    MapReduceApplicationData data = new MapReduceApplicationData().setJobConf(jobConf);
    HeuristicResult result = _heuristic.apply(data);
    assertTrue("Failed to match on expected severity", result.getSeverity() == Severity.MODERATE);
}

Example 32 with HeuristicResult

use of com.linkedin.drelephant.analysis.HeuristicResult in project dr-elephant by linkedin.

the class JobQueueLimitHeuristicTest method analyzeJob.

private Severity analyzeJob(long runtimeMs, String queueName) throws IOException {
    MapReduceCounterData dummyCounter = new MapReduceCounterData();
    MapReduceTaskData[] mappers = new MapReduceTaskData[(2 * NUM_TASKS / 3) + 1];
    MapReduceTaskData[] reducers = new MapReduceTaskData[(NUM_TASKS / 3) + 1];
    Properties jobConf = new Properties();
    jobConf.put("mapred.job.queue.name", queueName);
    int i = 0;
    for (; i < 2 * NUM_TASKS / 3; i++) {
        mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
        mappers[i].setTimeAndCounter(new long[] { runtimeMs, 0, 0, 0, 0 }, dummyCounter);
    }
    // Non-sampled task, which does not contain time and counter data
    mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
    for (i = 0; i < NUM_TASKS / 3; i++) {
        reducers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
        reducers[i].setTimeAndCounter(new long[] { runtimeMs, 0, 0, 0, 0 }, dummyCounter);
    }
    // Non-sampled task, which does not contain time and counter data
    reducers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
    MapReduceApplicationData data = new MapReduceApplicationData().setCounters(dummyCounter).setReducerData(reducers).setMapperData(mappers).setJobConf(jobConf);
    HeuristicResult result = _heuristic.apply(data);
    return result.getSeverity();
}

Example 33 with HeuristicResult

use of com.linkedin.drelephant.analysis.HeuristicResult in project dr-elephant by linkedin.

the class MapperGCHeuristicTest method analyzeJob.

private Severity analyzeJob(long runtimeMs, long cpuMs, long gcMs) throws IOException {
    MapReduceCounterData jobCounter = new MapReduceCounterData();
    MapReduceTaskData[] mappers = new MapReduceTaskData[NUMTASKS + 1];
    MapReduceCounterData counter = new MapReduceCounterData();
    counter.set(MapReduceCounterData.CounterName.CPU_MILLISECONDS, cpuMs);
    counter.set(MapReduceCounterData.CounterName.GC_MILLISECONDS, gcMs);
    int i = 0;
    for (; i < NUMTASKS; i++) {
        mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
        mappers[i].setTimeAndCounter(new long[] { runtimeMs, 0, 0, 0, 0 }, counter);
    }
    // Non-sampled task, which does not contain time and counter data
    mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
    MapReduceApplicationData data = new MapReduceApplicationData().setCounters(jobCounter).setMapperData(mappers);
    HeuristicResult result = _heuristic.apply(data);
    return result.getSeverity();
}

Example 34 with HeuristicResult

use of com.linkedin.drelephant.analysis.HeuristicResult in project dr-elephant by linkedin.

the class MapperMemoryHeuristicTest method analyzeJob.

private Severity analyzeJob(long taskAvgMemMB, long containerMemMB) throws IOException {
    MapReduceCounterData jobCounter = new MapReduceCounterData();
    MapReduceTaskData[] mappers = new MapReduceTaskData[NUMTASKS + 1];
    MapReduceCounterData counter = new MapReduceCounterData();
    counter.set(MapReduceCounterData.CounterName.PHYSICAL_MEMORY_BYTES, taskAvgMemMB * FileUtils.ONE_MB);
    Properties p = new Properties();
    p.setProperty(MapperMemoryHeuristic.MAPPER_MEMORY_CONF, Long.toString(containerMemMB));
    int i = 0;
    for (; i < NUMTASKS; i++) {
        mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
        mappers[i].setTimeAndCounter(new long[5], counter);
    }
    // Non-sampled task, which does not contain time and counter data
    mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
    MapReduceApplicationData data = new MapReduceApplicationData().setCounters(jobCounter).setMapperData(mappers);
    data.setJobConf(p);
    HeuristicResult result = _heuristic.apply(data);
    return result.getSeverity();
}

Example 35 with HeuristicResult

use of com.linkedin.drelephant.analysis.HeuristicResult in project dr-elephant by linkedin.

the class MapperSpeedHeuristicTest method analyzeJob.

private Severity analyzeJob(long runtimeMs, long readBytes) throws IOException {
    MapReduceCounterData jobCounter = new MapReduceCounterData();
    MapReduceTaskData[] mappers = new MapReduceTaskData[NUMTASKS + 1];
    MapReduceCounterData counter = new MapReduceCounterData();
    counter.set(MapReduceCounterData.CounterName.HDFS_BYTES_READ, readBytes / 4);
    counter.set(MapReduceCounterData.CounterName.S3_BYTES_READ, readBytes / 4);
    counter.set(MapReduceCounterData.CounterName.S3A_BYTES_READ, readBytes / 4);
    counter.set(MapReduceCounterData.CounterName.S3N_BYTES_READ, readBytes / 4);
    int i = 0;
    for (; i < NUMTASKS; i++) {
        mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
        mappers[i].setTimeAndCounter(new long[] { runtimeMs, 0, 0, 0, 0 }, counter);
    }
    // Non-sampled task, which does not contain time and counter data
    mappers[i] = new MapReduceTaskData("task-id-" + i, "task-attempt-id-" + i);
    MapReduceApplicationData data = new MapReduceApplicationData().setCounters(jobCounter).setMapperData(mappers);
    HeuristicResult result = _heuristic.apply(data);
    return result.getSeverity();
}