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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.mapreduce.jobhistory;
import java.util.Set;
import org.apache.avro.util.Utf8;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.mapred.ProgressSplitsBlock;
import org.apache.hadoop.mapreduce.Counters;
import org.apache.hadoop.mapreduce.TaskAttemptID;
import org.apache.hadoop.mapreduce.TaskID;
import org.apache.hadoop.mapreduce.TaskType;
import org.apache.hadoop.mapreduce.util.JobHistoryEventUtils;
import org.apache.hadoop.util.StringUtils;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEvent;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric;
import org.apache.hadoop.yarn.util.SystemClock;
/**
* Event to record successful completion of a reduce attempt
*
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class ReduceAttemptFinishedEvent implements HistoryEvent {
private ReduceAttemptFinished datum = null;
private TaskAttemptID attemptId;
private TaskType taskType;
private String taskStatus;
private long shuffleFinishTime;
private long sortFinishTime;
private long finishTime;
private String hostname;
private String rackName;
private int port;
private String state;
private Counters counters;
int[][] allSplits;
int[] clockSplits;
int[] cpuUsages;
int[] vMemKbytes;
int[] physMemKbytes;
private long startTime;
/**
* Create an event to record completion of a reduce attempt
* @param id Attempt Id
* @param taskType Type of task
* @param taskStatus Status of the task
* @param shuffleFinishTime Finish time of the shuffle phase
* @param sortFinishTime Finish time of the sort phase
* @param finishTime Finish time of the attempt
* @param hostname Name of the host where the attempt executed
* @param port RPC port for the tracker host.
* @param rackName Name of the rack where the attempt executed
* @param state State of the attempt
* @param counters Counters for the attempt
* @param allSplits the "splits", or a pixelated graph of various
* measurable worker node state variables against progress.
* Currently there are four; wallclock time, CPU time,
* virtual memory and physical memory.
* @param startTs Task start time to be used for writing entity to ATSv2.
*/
public ReduceAttemptFinishedEvent(TaskAttemptID id, TaskType taskType,
String taskStatus, long shuffleFinishTime, long sortFinishTime,
long finishTime, String hostname, int port, String rackName,
String state, Counters counters, int[][] allSplits, long startTs) {
this.attemptId = id;
this.taskType = taskType;
this.taskStatus = taskStatus;
this.shuffleFinishTime = shuffleFinishTime;
this.sortFinishTime = sortFinishTime;
this.finishTime = finishTime;
this.hostname = hostname;
this.rackName = rackName;
this.port = port;
this.state = state;
this.counters = counters;
this.allSplits = allSplits;
this.clockSplits = ProgressSplitsBlock.arrayGetWallclockTime(allSplits);
this.cpuUsages = ProgressSplitsBlock.arrayGetCPUTime(allSplits);
this.vMemKbytes = ProgressSplitsBlock.arrayGetVMemKbytes(allSplits);
this.physMemKbytes = ProgressSplitsBlock.arrayGetPhysMemKbytes(allSplits);
this.startTime = startTs;
}
public ReduceAttemptFinishedEvent(TaskAttemptID id, TaskType taskType,
String taskStatus, long shuffleFinishTime, long sortFinishTime,
long finishTime, String hostname, int port, String rackName,
String state, Counters counters, int[][] allSplits) {
this(id, taskType, taskStatus, shuffleFinishTime, sortFinishTime,
finishTime, hostname, port, rackName, state, counters, allSplits,
SystemClock.getInstance().getTime());
}
/**
* @deprecated please use the constructor with an additional
* argument, an array of splits arrays instead. See
* {@link org.apache.hadoop.mapred.ProgressSplitsBlock}
* for an explanation of the meaning of that parameter.
*
* Create an event to record completion of a reduce attempt
* @param id Attempt Id
* @param taskType Type of task
* @param taskStatus Status of the task
* @param shuffleFinishTime Finish time of the shuffle phase
* @param sortFinishTime Finish time of the sort phase
* @param finishTime Finish time of the attempt
* @param hostname Name of the host where the attempt executed
* @param state State of the attempt
* @param counters Counters for the attempt
*/
public ReduceAttemptFinishedEvent(TaskAttemptID id, TaskType taskType,
String taskStatus, long shuffleFinishTime, long sortFinishTime,
long finishTime, String hostname, String state, Counters counters) {
this(id, taskType, taskStatus,
shuffleFinishTime, sortFinishTime, finishTime,
hostname, -1, "", state, counters, null);
}
ReduceAttemptFinishedEvent() {}
public Object getDatum() {
if (datum == null) {
datum = new ReduceAttemptFinished();
datum.setTaskid(new Utf8(attemptId.getTaskID().toString()));
datum.setAttemptId(new Utf8(attemptId.toString()));
datum.setTaskType(new Utf8(taskType.name()));
datum.setTaskStatus(new Utf8(taskStatus));
datum.setShuffleFinishTime(shuffleFinishTime);
datum.setSortFinishTime(sortFinishTime);
datum.setFinishTime(finishTime);
datum.setHostname(new Utf8(hostname));
datum.setPort(port);
if (rackName != null) {
datum.setRackname(new Utf8(rackName));
}
datum.setState(new Utf8(state));
datum.setCounters(EventWriter.toAvro(counters));
datum.setClockSplits(AvroArrayUtils.toAvro(ProgressSplitsBlock
.arrayGetWallclockTime(allSplits)));
datum.setCpuUsages(AvroArrayUtils.toAvro(ProgressSplitsBlock
.arrayGetCPUTime(allSplits)));
datum.setVMemKbytes(AvroArrayUtils.toAvro(ProgressSplitsBlock
.arrayGetVMemKbytes(allSplits)));
datum.setPhysMemKbytes(AvroArrayUtils.toAvro(ProgressSplitsBlock
.arrayGetPhysMemKbytes(allSplits)));
}
return datum;
}
public void setDatum(Object oDatum) {
this.datum = (ReduceAttemptFinished)oDatum;
this.attemptId = TaskAttemptID.forName(datum.getAttemptId().toString());
this.taskType = TaskType.valueOf(datum.getTaskType().toString());
this.taskStatus = datum.getTaskStatus().toString();
this.shuffleFinishTime = datum.getShuffleFinishTime();
this.sortFinishTime = datum.getSortFinishTime();
this.finishTime = datum.getFinishTime();
this.hostname = datum.getHostname().toString();
this.rackName = datum.getRackname().toString();
this.port = datum.getPort();
this.state = datum.getState().toString();
this.counters = EventReader.fromAvro(datum.getCounters());
this.clockSplits = AvroArrayUtils.fromAvro(datum.getClockSplits());
this.cpuUsages = AvroArrayUtils.fromAvro(datum.getCpuUsages());
this.vMemKbytes = AvroArrayUtils.fromAvro(datum.getVMemKbytes());
this.physMemKbytes = AvroArrayUtils.fromAvro(datum.getPhysMemKbytes());
}
/** Gets the Task ID. */
public TaskID getTaskId() { return attemptId.getTaskID(); }
/** Gets the attempt id. */
public TaskAttemptID getAttemptId() {
return attemptId;
}
/** Gets the task type. */
public TaskType getTaskType() {
return taskType;
}
/** Gets the task status. */
public String getTaskStatus() { return taskStatus.toString(); }
/** Gets the finish time of the sort phase. */
public long getSortFinishTime() { return sortFinishTime; }
/** Gets the finish time of the shuffle phase. */
public long getShuffleFinishTime() { return shuffleFinishTime; }
/** Gets the finish time of the attempt. */
public long getFinishTime() { return finishTime; }
/**
* Gets the start time.
* @return task attempt start time.
*/
public long getStartTime() {
return startTime;
}
/** Gets the name of the host where the attempt ran. */
public String getHostname() { return hostname.toString(); }
/** Gets the tracker rpc port. */
public int getPort() { return port; }
/** Gets the rack name of the node where the attempt ran. */
public String getRackName() {
return rackName == null ? null : rackName.toString();
}
/**
* Gets the state string.
* @return reduce attempt state
*/
public String getState() {
return state.toString();
}
/**
* Gets the counters.
* @return counters
*/
Counters getCounters() {
return counters;
}
/** Gets the event type. */
public EventType getEventType() {
return EventType.REDUCE_ATTEMPT_FINISHED;
}
public int[] getClockSplits() {
return clockSplits;
}
public int[] getCpuUsages() {
return cpuUsages;
}
public int[] getVMemKbytes() {
return vMemKbytes;
}
public int[] getPhysMemKbytes() {
return physMemKbytes;
}
@Override
public TimelineEvent toTimelineEvent() {
TimelineEvent tEvent = new TimelineEvent();
tEvent.setId(StringUtils.toUpperCase(getEventType().name()));
tEvent.addInfo("TASK_TYPE", getTaskType().toString());
tEvent.addInfo("ATTEMPT_ID", getAttemptId() == null ?
"" : getAttemptId().toString());
tEvent.addInfo("FINISH_TIME", getFinishTime());
tEvent.addInfo("STATUS", getTaskStatus());
tEvent.addInfo("STATE", getState());
tEvent.addInfo("SHUFFLE_FINISH_TIME", getShuffleFinishTime());
tEvent.addInfo("SORT_FINISH_TIME", getSortFinishTime());
tEvent.addInfo("HOSTNAME", getHostname());
tEvent.addInfo("PORT", getPort());
tEvent.addInfo("RACK_NAME", getRackName());
return tEvent;
}
@Override
public Set<TimelineMetric> getTimelineMetrics() {
Set<TimelineMetric> metrics = JobHistoryEventUtils
.countersToTimelineMetric(getCounters(), finishTime);
return metrics;
}
}