org.apache.hadoop.hive.ql.exec.spark.status.impl.JobMetricsListener Maven / Gradle / Ivy
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* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hive.ql.exec.spark.status.impl;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.executor.TaskMetrics;
import org.apache.spark.scheduler.SparkListener;
import org.apache.spark.scheduler.SparkListenerApplicationEnd;
import org.apache.spark.scheduler.SparkListenerApplicationStart;
import org.apache.spark.scheduler.SparkListenerBlockManagerAdded;
import org.apache.spark.scheduler.SparkListenerBlockManagerRemoved;
import org.apache.spark.scheduler.SparkListenerEnvironmentUpdate;
import org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate;
import org.apache.spark.scheduler.SparkListenerJobEnd;
import org.apache.spark.scheduler.SparkListenerJobStart;
import org.apache.spark.scheduler.SparkListenerStageCompleted;
import org.apache.spark.scheduler.SparkListenerStageSubmitted;
import org.apache.spark.scheduler.SparkListenerTaskEnd;
import org.apache.spark.scheduler.SparkListenerTaskGettingResult;
import org.apache.spark.scheduler.SparkListenerTaskStart;
import org.apache.spark.scheduler.SparkListenerUnpersistRDD;
import org.apache.spark.scheduler.SparkListenerExecutorRemoved;
import org.apache.spark.scheduler.SparkListenerExecutorAdded;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
public class JobMetricsListener implements SparkListener {
private static final Log LOG = LogFactory.getLog(JobMetricsListener.class);
private final Map jobIdToStageId = Maps.newHashMap();
private final Map stageIdToJobId = Maps.newHashMap();
private final Map>> allJobMetrics = Maps.newHashMap();
@Override
public void onExecutorRemoved(SparkListenerExecutorRemoved removed) {
}
@Override
public void onExecutorAdded(SparkListenerExecutorAdded added) {
}
@Override
public void onStageCompleted(SparkListenerStageCompleted stageCompleted) {
}
@Override
public void onStageSubmitted(SparkListenerStageSubmitted stageSubmitted) {
}
@Override
public void onTaskStart(SparkListenerTaskStart taskStart) {
}
@Override
public void onTaskGettingResult(SparkListenerTaskGettingResult taskGettingResult) {
}
@Override
public synchronized void onTaskEnd(SparkListenerTaskEnd taskEnd) {
int stageId = taskEnd.stageId();
int stageAttemptId = taskEnd.stageAttemptId();
String stageIdentifier = stageId + "_" + stageAttemptId;
Integer jobId = stageIdToJobId.get(stageId);
if (jobId == null) {
LOG.warn("Can not find job id for stage[" + stageId + "].");
} else {
Map> jobMetrics = allJobMetrics.get(jobId);
if (jobMetrics == null) {
jobMetrics = Maps.newHashMap();
allJobMetrics.put(jobId, jobMetrics);
}
List stageMetrics = jobMetrics.get(stageIdentifier);
if (stageMetrics == null) {
stageMetrics = Lists.newLinkedList();
jobMetrics.put(stageIdentifier, stageMetrics);
}
stageMetrics.add(taskEnd.taskMetrics());
}
}
@Override
public synchronized void onJobStart(SparkListenerJobStart jobStart) {
int jobId = jobStart.jobId();
int size = jobStart.stageIds().size();
int[] intStageIds = new int[size];
for (int i = 0; i < size; i++) {
Integer stageId = (Integer) jobStart.stageIds().apply(i);
intStageIds[i] = stageId;
stageIdToJobId.put(stageId, jobId);
}
jobIdToStageId.put(jobId, intStageIds);
}
@Override
public synchronized void onJobEnd(SparkListenerJobEnd jobEnd) {
}
@Override
public void onEnvironmentUpdate(SparkListenerEnvironmentUpdate environmentUpdate) {
}
@Override
public void onBlockManagerAdded(SparkListenerBlockManagerAdded blockManagerAdded) {
}
@Override
public void onBlockManagerRemoved(SparkListenerBlockManagerRemoved blockManagerRemoved) {
}
@Override
public void onUnpersistRDD(SparkListenerUnpersistRDD unpersistRDD) {
}
@Override
public void onApplicationStart(SparkListenerApplicationStart applicationStart) {
}
@Override
public void onApplicationEnd(SparkListenerApplicationEnd applicationEnd) {
}
@Override
public void onExecutorMetricsUpdate(SparkListenerExecutorMetricsUpdate executorMetricsUpdate) {
}
public synchronized Map> getJobMetric(int jobId) {
return allJobMetrics.get(jobId);
}
public synchronized void cleanup(int jobId) {
allJobMetrics.remove(jobId);
jobIdToStageId.remove(jobId);
Iterator> iterator = stageIdToJobId.entrySet().iterator();
while (iterator.hasNext()) {
Map.Entry entry = iterator.next();
if (entry.getValue() == jobId) {
iterator.remove();
}
}
}
}