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MAPREDUCE-2821. Added missing fields (resourcePerMap & resourcePerReduce) to JobSummary logs. Contributed by Mahadev Konar.

Browse Source 
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1188528 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Arun Murthy 2011-10-25 06:26:14 +00:00
parent d19cfe0164
commit fffdf661e3
14 changed files with 240 additions and 122 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
hadoop-mapreduce-project/CHANGES.txt
View File

@ -1761,6 +1761,9 @@ Release 0.23.0 - Unreleased
MAPREDUCE-2746. Yarn servers can't communicate with each other with
hadoop.security.authorization set to true (acmurthy via mahadev)
MAPREDUCE-2821. Added missing fields (resourcePerMap & resourcePerReduce)
to JobSummary logs. (mahadev via acmurthy)
Release 0.22.0 - Unreleased
INCOMPATIBLE CHANGES

41
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/jobhistory/JobHistoryEventHandler.java
View File

@ -38,6 +38,7 @@
import org.apache.hadoop.fs.permission.FsPermission;
import org.apache.hadoop.mapreduce.JobCounter;
import org.apache.hadoop.mapreduce.MRJobConfig;
import org.apache.hadoop.mapreduce.TaskType;
import org.apache.hadoop.mapreduce.v2.api.records.Counter;
import org.apache.hadoop.mapreduce.v2.api.records.JobId;
import org.apache.hadoop.mapreduce.v2.api.records.JobState;
@ -91,7 +92,8 @@ public JobHistoryEventHandler(AppContext context, int startCount) {
}
/* (non-Javadoc)
* @see org.apache.hadoop.yarn.service.AbstractService#init(org.apache.hadoop.conf.Configuration)
* @see org.apache.hadoop.yarn.service.AbstractService#init(org.
* apache.hadoop.conf.Configuration)
* Initializes the FileSystem and Path objects for the log and done directories.
* Creates these directories if they do not already exist.
*/
@ -155,14 +157,15 @@ public void init(Configuration conf) {
+ doneDirPath
+ "] based on conf: "
+ MRJobConfig.MR_AM_CREATE_JH_INTERMEDIATE_BASE_DIR
+ ". Either set to true or pre-create this directory with appropriate permissions";
+ ". Either set to true or pre-create this directory with" +
" appropriate permissions";
LOG.error(message);
throw new YarnException(message);
}
}
} catch (IOException e) {
LOG.error("Failed checking for the existance of history intermediate done directory: ["
+ doneDirPath + "]");
LOG.error("Failed checking for the existance of history intermediate " +
"done directory: [" + doneDirPath + "]");
throw new YarnException(e);
}
@ -380,8 +383,11 @@ protected void handleEvent(JobHistoryEvent event) {
MetaInfo mi = fileMap.get(event.getJobID());
try {
HistoryEvent historyEvent = event.getHistoryEvent();
mi.writeEvent(historyEvent);
processEventForJobSummary(event.getHistoryEvent(), mi.getJobSummary(), event.getJobID());
if (! (historyEvent instanceof NormalizedResourceEvent)) {
mi.writeEvent(historyEvent);
}
processEventForJobSummary(event.getHistoryEvent(), mi.getJobSummary(),
event.getJobID());
LOG.info("In HistoryEventHandler "
+ event.getHistoryEvent().getEventType());
} catch (IOException e) {
@ -395,7 +401,7 @@ protected void handleEvent(JobHistoryEvent event) {
(JobSubmittedEvent) event.getHistoryEvent();
mi.getJobIndexInfo().setSubmitTime(jobSubmittedEvent.getSubmitTime());
}
// If this is JobFinishedEvent, close the writer and setup the job-index
if (event.getHistoryEvent().getEventType() == EventType.JOB_FINISHED) {
try {
@ -415,7 +421,8 @@ protected void handleEvent(JobHistoryEvent event) {
if (event.getHistoryEvent().getEventType() == EventType.JOB_FAILED
|| event.getHistoryEvent().getEventType() == EventType.JOB_KILLED) {
try {
JobUnsuccessfulCompletionEvent jucEvent = (JobUnsuccessfulCompletionEvent) event
JobUnsuccessfulCompletionEvent jucEvent =
(JobUnsuccessfulCompletionEvent) event
.getHistoryEvent();
mi.getJobIndexInfo().setFinishTime(jucEvent.getFinishTime());
mi.getJobIndexInfo().setNumMaps(jucEvent.getFinishedMaps());
@ -429,7 +436,8 @@ protected void handleEvent(JobHistoryEvent event) {
}
}
private void processEventForJobSummary(HistoryEvent event, JobSummary summary, JobId jobId) {
public void processEventForJobSummary(HistoryEvent event, JobSummary summary,
JobId jobId) {
// context.getJob could be used for some of this info as well.
switch (event.getEventType()) {
case JOB_SUBMITTED:
@ -438,6 +446,15 @@ private void processEventForJobSummary(HistoryEvent event, JobSummary summary, J
summary.setQueue(jse.getJobQueueName());
summary.setJobSubmitTime(jse.getSubmitTime());
break;
case NORMALIZED_RESOURCE:
NormalizedResourceEvent normalizedResourceEvent =
(NormalizedResourceEvent) event;
if (normalizedResourceEvent.getTaskType() == TaskType.MAP) {
summary.setResourcesPerMap(normalizedResourceEvent.getMemory());
} else if (normalizedResourceEvent.getTaskType() == TaskType.REDUCE) {
summary.setResourcesPerReduce(normalizedResourceEvent.getMemory());
}
break;
case JOB_INITED:
JobInitedEvent jie = (JobInitedEvent) event;
summary.setJobLaunchTime(jie.getLaunchTime());
@ -503,7 +520,8 @@ protected void closeEventWriter(JobId jobId) throws IOException {
if (!mi.isWriterActive()) {
throw new IOException(
"Inactive Writer: Likely received multiple JobFinished / JobUnsuccessful events for JobId: ["
"Inactive Writer: Likely received multiple JobFinished / " +
"JobUnsuccessful events for JobId: ["
+ jobId + "]");
}
@ -594,7 +612,8 @@ private class MetaInfo {
this.historyFile = historyFile;
this.confFile = conf;
this.writer = writer;
this.jobIndexInfo = new JobIndexInfo(-1, -1, user, jobName, jobId, -1, -1, null);
this.jobIndexInfo = new JobIndexInfo(-1, -1, user, jobName, jobId, -1, -1,
null);
this.jobSummary = new JobSummary();
}

45
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/jobhistory/JobSummary.java
View File

@ -34,7 +34,8 @@ public class JobSummary {
private int numFailedMaps;
private int numFinishedReduces;
private int numFailedReduces;
// private int numSlotsPerMap; | Doesn't make sense with potentially different
private int resourcesPerMap; // resources used per map/min resource
private int resourcesPerReduce; // resources used per reduce/min resource
// resource models
// private int numSlotsPerReduce; | Doesn't make sense with potentially
// different resource models
@ -112,14 +113,14 @@ public void setNumFailedMaps(int numFailedMaps) {
this.numFailedMaps = numFailedMaps;
}
// public int getNumSlotsPerMap() {
// return numSlotsPerMap;
// }
//
// public void setNumSlotsPerMap(int numSlotsPerMap) {
// this.numSlotsPerMap = numSlotsPerMap;
// }
public int getResourcesPerMap() {
return resourcesPerMap;
}
public void setResourcesPerMap(int resourcesPerMap) {
this.resourcesPerMap = resourcesPerMap;
}
public int getNumFinishedReduces() {
return numFinishedReduces;
}
@ -136,14 +137,14 @@ public void setNumFailedReduces(int numFailedReduces) {
this.numFailedReduces = numFailedReduces;
}
// public int getNumSlotsPerReduce() {
// return numSlotsPerReduce;
// }
//
// public void setNumSlotsPerReduce(int numSlotsPerReduce) {
// this.numSlotsPerReduce = numSlotsPerReduce;
// }
public int getResourcesPerReduce() {
return this.resourcesPerReduce;
}
public void setResourcesPerReduce(int resourcesPerReduce) {
this.resourcesPerReduce = resourcesPerReduce;
}
public String getUser() {
return user;
}
@ -184,14 +185,6 @@ public void setReduceSlotSeconds(long reduceSlotSeconds) {
this.reduceSlotSeconds = reduceSlotSeconds;
}
// public int getClusterSlotCapacity() {
// return clusterSlotCapacity;
// }
//
// public void setClusterSlotCapacity(int clusterSlotCapacity) {
// this.clusterSlotCapacity = clusterSlotCapacity;
// }
public String getJobSummaryString() {
SummaryBuilder summary = new SummaryBuilder()
.add("jobId", jobId)
@ -200,6 +193,8 @@ public String getJobSummaryString() {
.add("firstMapTaskLaunchTime", firstMapTaskLaunchTime)
.add("firstReduceTaskLaunchTime", firstReduceTaskLaunchTime)
.add("finishTime", jobFinishTime)
.add("resourcesPerMap", resourcesPerMap)
.add("resourcesPerReduce", resourcesPerReduce)
.add("numMaps", numFinishedMaps + numFailedMaps)
.add("numReduces", numFinishedReduces + numFailedReduces)
.add("user", user)

9
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/impl/TaskAttemptImpl.java
View File

@ -91,12 +91,12 @@
import org.apache.hadoop.mapreduce.v2.app.speculate.SpeculatorEvent;
import org.apache.hadoop.mapreduce.v2.app.taskclean.TaskCleanupEvent;
import org.apache.hadoop.mapreduce.v2.util.MRApps;
import org.apache.hadoop.yarn.util.Apps;
import org.apache.hadoop.net.NetUtils;
import org.apache.hadoop.security.Credentials;
import org.apache.hadoop.security.UserGroupInformation;
import org.apache.hadoop.security.token.Token;
import org.apache.hadoop.security.token.TokenIdentifier;
import org.apache.hadoop.util.StringUtils;
import org.apache.hadoop.yarn.Clock;
import org.apache.hadoop.yarn.YarnException;
import org.apache.hadoop.yarn.api.ApplicationConstants.Environment;
@ -115,10 +115,10 @@
import org.apache.hadoop.yarn.state.SingleArcTransition;
import org.apache.hadoop.yarn.state.StateMachine;
import org.apache.hadoop.yarn.state.StateMachineFactory;
import org.apache.hadoop.yarn.util.Apps;
import org.apache.hadoop.yarn.util.BuilderUtils;
import org.apache.hadoop.yarn.util.ConverterUtils;
import org.apache.hadoop.yarn.util.RackResolver;
import org.apache.hadoop.util.StringUtils;
/**
@ -856,7 +856,7 @@ private void setFinishTime() {
private static long computeSlotMillis(TaskAttemptImpl taskAttempt) {
TaskType taskType = taskAttempt.getID().getTaskId().getTaskType();
int slotMemoryReq =
taskAttempt.getMemoryRequired(taskAttempt.conf, taskType);
taskAttempt.getMemoryRequired(taskAttempt.conf, taskType);
int simSlotsRequired =
slotMemoryReq
/ (taskType == TaskType.MAP ? MAP_MEMORY_MB_DEFAULT
@ -994,7 +994,7 @@ public void transition(TaskAttemptImpl taskAttempt,
private static class ContainerAssignedTransition implements
SingleArcTransition<TaskAttemptImpl, TaskAttemptEvent> {
@SuppressWarnings("unchecked")
@SuppressWarnings({ "unchecked", "deprecation" })
@Override
public void transition(final TaskAttemptImpl taskAttempt,
TaskAttemptEvent event) {
@ -1164,6 +1164,7 @@ private static class TaskCleanupTransition implements
@Override
public void transition(TaskAttemptImpl taskAttempt,
TaskAttemptEvent event) {
@SuppressWarnings("deprecation")
TaskAttemptContext taskContext =
new TaskAttemptContextImpl(new JobConf(taskAttempt.conf),
TypeConverter.fromYarn(taskAttempt.attemptId));

44
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/rm/RMContainerAllocator.java
View File

@ -18,8 +18,6 @@
package org.apache.hadoop.mapreduce.v2.app.rm;
import java.net.InetAddress;
import java.net.UnknownHostException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
@ -37,7 +35,12 @@
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapreduce.JobCounter;
import org.apache.hadoop.mapreduce.JobID;
import org.apache.hadoop.mapreduce.MRJobConfig;
import org.apache.hadoop.mapreduce.TypeConverter;
import org.apache.hadoop.mapreduce.jobhistory.JobHistoryEvent;
import org.apache.hadoop.mapreduce.jobhistory.NormalizedResourceEvent;
import org.apache.hadoop.mapreduce.v2.api.records.JobId;
import org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId;
import org.apache.hadoop.mapreduce.v2.api.records.TaskType;
import org.apache.hadoop.mapreduce.v2.app.AppContext;
@ -125,7 +128,7 @@ added to the pending and are ramped up (added to scheduled) based
private float maxReduceRampupLimit = 0;
private float maxReducePreemptionLimit = 0;
private float reduceSlowStart = 0;
public RMContainerAllocator(ClientService clientService, AppContext context) {
super(clientService, context);
}
@ -169,6 +172,7 @@ public void stop() {
LOG.info("Final Stats: " + getStat());
}
@SuppressWarnings("unchecked")
@Override
public synchronized void handle(ContainerAllocatorEvent event) {
LOG.info("Processing the event " + event.toString());
@ -179,7 +183,13 @@ public synchronized void handle(ContainerAllocatorEvent event) {
if (mapResourceReqt == 0) {
mapResourceReqt = reqEvent.getCapability().getMemory();
int minSlotMemSize = getMinContainerCapability().getMemory();
mapResourceReqt = (int) Math.ceil((float) mapResourceReqt/minSlotMemSize) * minSlotMemSize;
mapResourceReqt = (int) Math.ceil((float) mapResourceReqt/minSlotMemSize)
* minSlotMemSize;
JobID id = TypeConverter.fromYarn(applicationId);
JobId jobId = TypeConverter.toYarn(id);
eventHandler.handle(new JobHistoryEvent(jobId,
new NormalizedResourceEvent(org.apache.hadoop.mapreduce.TaskType.MAP,
mapResourceReqt)));
LOG.info("mapResourceReqt:"+mapResourceReqt);
if (mapResourceReqt > getMaxContainerCapability().getMemory()) {
String diagMsg = "MAP capability required is more than the supported " +
@ -199,12 +209,20 @@ public synchronized void handle(ContainerAllocatorEvent event) {
reduceResourceReqt = reqEvent.getCapability().getMemory();
int minSlotMemSize = getMinContainerCapability().getMemory();
//round off on slotsize
reduceResourceReqt = (int) Math.ceil((float) reduceResourceReqt/minSlotMemSize) * minSlotMemSize;
reduceResourceReqt = (int) Math.ceil((float)
reduceResourceReqt/minSlotMemSize) * minSlotMemSize;
JobID id = TypeConverter.fromYarn(applicationId);
JobId jobId = TypeConverter.toYarn(id);
eventHandler.handle(new JobHistoryEvent(jobId,
new NormalizedResourceEvent(
org.apache.hadoop.mapreduce.TaskType.REDUCE,
reduceResourceReqt)));
LOG.info("reduceResourceReqt:"+reduceResourceReqt);
if (reduceResourceReqt > getMaxContainerCapability().getMemory()) {
String diagMsg = "REDUCE capability required is more than the supported " +
"max container capability in the cluster. Killing the Job. reduceResourceReqt: " +
reduceResourceReqt + " maxContainerCapability:" + getMaxContainerCapability().getMemory();
String diagMsg = "REDUCE capability required is more than the " +
"supported max container capability in the cluster. Killing the " +
"Job. reduceResourceReqt: " + reduceResourceReqt +
" maxContainerCapability:" + getMaxContainerCapability().getMemory();
LOG.info(diagMsg);
eventHandler.handle(new JobDiagnosticsUpdateEvent(
getJob().getID(), diagMsg));
@ -217,7 +235,8 @@ public synchronized void handle(ContainerAllocatorEvent event) {
//add to the front of queue for fail fast
pendingReduces.addFirst(new ContainerRequest(reqEvent, PRIORITY_REDUCE));
} else {
pendingReduces.add(new ContainerRequest(reqEvent, PRIORITY_REDUCE));//reduces are added to pending and are slowly ramped up
pendingReduces.add(new ContainerRequest(reqEvent, PRIORITY_REDUCE));
//reduces are added to pending and are slowly ramped up
}
}
@ -411,6 +430,7 @@ private synchronized String getStat() {
" availableResources(headroom):" + getAvailableResources();
}
@SuppressWarnings("unchecked")
private List<Container> getResources() throws Exception {
int headRoom = getAvailableResources() != null ? getAvailableResources().getMemory() : 0;//first time it would be null
AMResponse response = makeRemoteRequest();
@ -538,6 +558,7 @@ void addReduce(ContainerRequest req) {
addContainerReq(req);
}
@SuppressWarnings("unchecked")
private void assign(List<Container> allocatedContainers) {
Iterator<Container> it = allocatedContainers.iterator();
LOG.info("Got allocated containers " + allocatedContainers.size());
@ -694,6 +715,7 @@ else if (PRIORITY_REDUCE.equals(priority)) {
}
@SuppressWarnings("unchecked")
private ContainerRequest assignToFailedMap(Container allocated) {
//try to assign to earlierFailedMaps if present
ContainerRequest assigned = null;
@ -723,6 +745,7 @@ private ContainerRequest assignToReduce(Container allocated) {
return assigned;
}
@SuppressWarnings("unchecked")
private ContainerRequest assignToMap(Container allocated) {
//try to assign to maps if present
//first by host, then by rack, followed by *
@ -798,7 +821,8 @@ void add(ContainerId containerId, TaskAttemptId tId) {
}
void preemptReduce(int toPreempt) {
List<TaskAttemptId> reduceList = new ArrayList(reduces.keySet());
List<TaskAttemptId> reduceList = new ArrayList<TaskAttemptId>
(reduces.keySet());
//sort reduces on progress
Collections.sort(reduceList,
new Comparator<TaskAttemptId>() {

13
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/MRApp.java
View File

@ -31,9 +31,12 @@
import org.apache.hadoop.fs.FileContext;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapred.WrappedJvmID;
import org.apache.hadoop.mapreduce.JobID;
import org.apache.hadoop.mapreduce.MRJobConfig;
import org.apache.hadoop.mapreduce.OutputCommitter;
import org.apache.hadoop.mapreduce.TypeConverter;
import org.apache.hadoop.mapreduce.jobhistory.JobHistoryEvent;
import org.apache.hadoop.mapreduce.jobhistory.NormalizedResourceEvent;
import org.apache.hadoop.mapreduce.security.token.JobTokenSecretManager;
import org.apache.hadoop.mapreduce.split.JobSplit.TaskSplitMetaInfo;
import org.apache.hadoop.mapreduce.v2.api.records.JobId;
@ -360,6 +363,16 @@ public void handle(ContainerAllocatorEvent event) {
NodeId nodeId = BuilderUtils.newNodeId("localhost", 1234);
Container container = BuilderUtils.newContainer(cId, nodeId,
"localhost:9999", null, null, null);
JobID id = TypeConverter.fromYarn(applicationId);
JobId jobId = TypeConverter.toYarn(id);
getContext().getEventHandler().handle(new JobHistoryEvent(jobId,
new NormalizedResourceEvent(
org.apache.hadoop.mapreduce.TaskType.REDUCE,
100)));
getContext().getEventHandler().handle(new JobHistoryEvent(jobId,
new NormalizedResourceEvent(
org.apache.hadoop.mapreduce.TaskType.MAP,
100)));
getContext().getEventHandler().handle(
new TaskAttemptContainerAssignedEvent(event.getAttemptID(),
container, null));

3
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/avro/Events.avpr
View File

@ -225,7 +225,7 @@
{"name": "counters", "type": "JhCounters"}
]
},
{"type": "record", "name": "TaskStarted",
"fields": [
{"name": "taskid", "type": "string"},
@ -256,6 +256,7 @@
"TASK_FINISHED",
"TASK_FAILED",
"TASK_UPDATED",
"NORMALIZED_RESOURCE",
"MAP_ATTEMPT_STARTED",
"MAP_ATTEMPT_FINISHED",
"MAP_ATTEMPT_FAILED",

2
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/jobhistory/HistoryEvent.java
View File

@ -18,8 +18,6 @@
package org.apache.hadoop.mapreduce.jobhistory;
import java.io.IOException;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;

5
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/jobhistory/JobUnsuccessfulCompletionEvent.java
View File

@ -18,14 +18,11 @@
package org.apache.hadoop.mapreduce.jobhistory;
import java.io.IOException;
import org.apache.avro.util.Utf8;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.mapreduce.JobID;
import org.apache.avro.util.Utf8;
/**
* Event to record Failed and Killed completion of jobs
*

74
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/jobhistory/NormalizedResourceEvent.java Normal file
View File

@ -0,0 +1,74 @@
/**
* 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 org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.mapreduce.TaskType;
/**
* Event to record the normalized map/reduce requirements.
*
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class NormalizedResourceEvent implements HistoryEvent {
private int memory;
private TaskType taskType;
/**
* Normalized request when sent to the Resource Manager.
* @param taskType the tasktype of the request.
* @param memory the normalized memory requirements.
*/
public NormalizedResourceEvent(TaskType taskType, int memory) {
this.memory = memory;
this.taskType = taskType;
}
/**
* the tasktype for the event.
* @return the tasktype for the event.
*/
public TaskType getTaskType() {
return this.taskType;
}
/**
* the normalized memory
* @return the normalized memory
*/
public int getMemory() {
return this.memory;
}
@Override
public EventType getEventType() {
return EventType.NORMALIZED_RESOURCE;
}
@Override
public Object getDatum() {
throw new UnsupportedOperationException("Not a seriable object");
}
@Override
public void setDatum(Object datum) {
throw new UnsupportedOperationException("Not a seriable object");
}
}

8
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/jobhistory/ReduceAttemptFinishedEvent.java
View File

@ -18,19 +18,15 @@
package org.apache.hadoop.mapreduce.jobhistory;
import java.io.IOException;
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.mapred.ProgressSplitsBlock;
import org.apache.avro.util.Utf8;
/**
* Event to record successful completion of a reduce attempt
*

5
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/jobhistory/TaskStartedEvent.java
View File

@ -18,15 +18,12 @@
package org.apache.hadoop.mapreduce.jobhistory;
import java.io.IOException;
import org.apache.avro.util.Utf8;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.mapreduce.TaskID;
import org.apache.hadoop.mapreduce.TaskType;
import org.apache.avro.util.Utf8;
/**
* Event to record the start of a task
*

105
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-hs/src/test/java/org/apache/hadoop/mapreduce/v2/hs/TestJobHistoryParsing.java
View File

@ -1,20 +1,20 @@
/**
* 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.
*/
* 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.v2.hs;
@ -54,27 +54,32 @@
public class TestJobHistoryParsing {
private static final Log LOG = LogFactory.getLog(TestJobHistoryParsing.class);
@Test
public void testHistoryParsing() throws Exception {
Configuration conf = new Configuration();
long amStartTimeEst = System.currentTimeMillis();
MRApp app = new MRAppWithHistory(2, 1, true, this.getClass().getName(), true);
MRApp app = new MRAppWithHistory(2, 1, true, this.getClass().getName(),
true);
app.submit(conf);
Job job = app.getContext().getAllJobs().values().iterator().next();
JobId jobId = job.getID();
LOG.info("JOBID is " + TypeConverter.fromYarn(jobId).toString());
app.waitForState(job, JobState.SUCCEEDED);
//make sure all events are flushed
// make sure all events are flushed
app.waitForState(Service.STATE.STOPPED);
String jobhistoryDir = JobHistoryUtils.getHistoryIntermediateDoneDirForUser(conf);
String jobhistoryDir = JobHistoryUtils
.getHistoryIntermediateDoneDirForUser(conf);
JobHistory jobHistory = new JobHistory();
jobHistory.init(conf);
JobIndexInfo jobIndexInfo = jobHistory.getJobMetaInfo(jobId).getJobIndexInfo();
String jobhistoryFileName = FileNameIndexUtils.getDoneFileName(jobIndexInfo);
JobIndexInfo jobIndexInfo = jobHistory.getJobMetaInfo(jobId)
.getJobIndexInfo();
String jobhistoryFileName = FileNameIndexUtils
.getDoneFileName(jobIndexInfo);
Path historyFilePath = new Path(jobhistoryDir, jobhistoryFileName);
FSDataInputStream in = null;
LOG.info("JobHistoryFile is: " + historyFilePath);
@ -86,27 +91,24 @@ public void testHistoryParsing() throws Exception {
LOG.info("Can not open history file: " + historyFilePath, ioe);
throw (new Exception("Can not open History File"));
}
JobHistoryParser parser = new JobHistoryParser(in);
JobInfo jobInfo = parser.parse();
Assert.assertEquals ("Incorrect username ",
"mapred", jobInfo.getUsername());
Assert.assertEquals("Incorrect jobName ",
"test", jobInfo.getJobname());
Assert.assertEquals("Incorrect queuename ",
"default", jobInfo.getJobQueueName());
Assert.assertEquals("incorrect conf path",
"test", jobInfo.getJobConfPath());
Assert.assertEquals("incorrect finishedMap ",
2, jobInfo.getFinishedMaps());
Assert.assertEquals("incorrect finishedReduces ",
1, jobInfo.getFinishedReduces());
Assert.assertEquals("incorrect uberized ",
job.isUber(), jobInfo.getUberized());
Assert.assertEquals("Incorrect username ", "mapred", jobInfo.getUsername());
Assert.assertEquals("Incorrect jobName ", "test", jobInfo.getJobname());
Assert.assertEquals("Incorrect queuename ", "default",
jobInfo.getJobQueueName());
Assert
.assertEquals("incorrect conf path", "test", jobInfo.getJobConfPath());
Assert.assertEquals("incorrect finishedMap ", 2, jobInfo.getFinishedMaps());
Assert.assertEquals("incorrect finishedReduces ", 1,
jobInfo.getFinishedReduces());
Assert.assertEquals("incorrect uberized ", job.isUber(),
jobInfo.getUberized());
int totalTasks = jobInfo.getAllTasks().size();
Assert.assertEquals("total number of tasks is incorrect ", 3, totalTasks);
// Verify aminfo
Assert.assertEquals(1, jobInfo.getAMInfos().size());
Assert.assertEquals("testhost", jobInfo.getAMInfos().get(0)
@ -120,15 +122,15 @@ public void testHistoryParsing() throws Exception {
&& amInfo.getStartTime() >= amStartTimeEst);
ContainerId fakeCid = BuilderUtils.newContainerId(-1, -1, -1, -1);
//Assert at taskAttempt level
// Assert at taskAttempt level
for (TaskInfo taskInfo : jobInfo.getAllTasks().values()) {
int taskAttemptCount = taskInfo.getAllTaskAttempts().size();
Assert.assertEquals("total number of task attempts ",
1, taskAttemptCount);
TaskAttemptInfo taInfo =
taskInfo.getAllTaskAttempts().values().iterator().next();
Assert
.assertEquals("total number of task attempts ", 1, taskAttemptCount);
TaskAttemptInfo taInfo = taskInfo.getAllTaskAttempts().values()
.iterator().next();
Assert.assertNotNull(taInfo.getContainerId());
//Verify the wrong ctor is not being used. Remove after mrv1 is removed.
// Verify the wrong ctor is not being used. Remove after mrv1 is removed.
Assert.assertFalse(taInfo.getContainerId().equals(fakeCid));
}
@ -138,9 +140,8 @@ public void testHistoryParsing() throws Exception {
TypeConverter.fromYarn(task.getID()));
Assert.assertNotNull("TaskInfo not found", taskInfo);
for (TaskAttempt taskAttempt : task.getAttempts().values()) {
TaskAttemptInfo taskAttemptInfo =
taskInfo.getAllTaskAttempts().get(
TypeConverter.fromYarn((taskAttempt.getID())));
TaskAttemptInfo taskAttemptInfo = taskInfo.getAllTaskAttempts().get(
TypeConverter.fromYarn((taskAttempt.getID())));
Assert.assertNotNull("TaskAttemptInfo not found", taskAttemptInfo);
Assert.assertEquals("Incorrect shuffle port for task attempt",
taskAttempt.getShufflePort(), taskAttemptInfo.getShufflePort());
@ -151,6 +152,8 @@ public void testHistoryParsing() throws Exception {
.getIntermediateSummaryFileName(jobId);
Path summaryFile = new Path(jobhistoryDir, summaryFileName);
String jobSummaryString = jobHistory.getJobSummary(fc, summaryFile);
Assert.assertTrue(jobSummaryString.contains("resourcesPerMap=100"));
Assert.assertTrue(jobSummaryString.contains("resourcesPerReduce=100"));
Assert.assertNotNull(jobSummaryString);
Map<String, String> jobSummaryElements = new HashMap<String, String>();

5
hadoop-mapreduce-project/src/test/mapred/org/apache/hadoop/mapreduce/jobhistory/TestJobHistoryEvents.java
View File

@ -17,16 +17,13 @@
*/
package org.apache.hadoop.mapreduce.jobhistory;
import java.util.List;
import java.util.ArrayList;
import junit.framework.TestCase;
import org.apache.hadoop.mapred.TaskStatus;
import org.apache.hadoop.mapreduce.Counters;
import org.apache.hadoop.mapreduce.TaskAttemptID;
import org.apache.hadoop.mapreduce.TaskType;
import junit.framework.TestCase;
/**
* Test various jobhistory events
*/