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MAPREDUCE-6253. Update use of Iterator to Iterable. Contributed by Ray 

Chiang.
This commit is contained in:
Devaraj K 2015-02-12 13:45:19 +05:30
parent 89a5449280
commit 76e309ead0
4 changed files with 11 additions and 10 deletions
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2
hadoop-mapreduce-project/CHANGES.txt
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@ -278,6 +278,8 @@ Release 2.7.0 - UNRELEASED
MAPREDUCE-6227. DFSIO for truncate. (shv via yliu)
MAPREDUCE-6253. Update use of Iterator to Iterable. (Ray Chiang via devaraj)
OPTIMIZATIONS
MAPREDUCE-6169. MergeQueue should release reference to the current item

7
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/jobhistory/JobHistoryEventHandler.java
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@ -374,11 +374,10 @@ public class JobHistoryEventHandler extends AbstractService
// Process JobUnsuccessfulCompletionEvent for jobIds which still haven't
// closed their event writers
Iterator<JobId> jobIt = fileMap.keySet().iterator();
if(forceJobCompletion) {
while (jobIt.hasNext()) {
JobId toClose = jobIt.next();
MetaInfo mi = fileMap.get(toClose);
for (Map.Entry<JobId,MetaInfo> jobIt : fileMap.entrySet()) {
JobId toClose = jobIt.getKey();
MetaInfo mi = jobIt.getValue();
if(mi != null && mi.isWriterActive()) {
LOG.warn("Found jobId " + toClose
+ " to have not been closed. Will close");

4
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapred/QueueManager.java
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@ -441,8 +441,8 @@ public class QueueManager {
synchronized Map<String, JobQueueInfo> getJobQueueInfoMapping() {
Map<String, JobQueueInfo> m = new HashMap<String, JobQueueInfo>();
for (String key : allQueues.keySet()) {
m.put(key, allQueues.get(key).getJobQueueInfo());
for (Map.Entry<String,Queue> entry : allQueues.entrySet()) {
m.put(entry.getKey(), entry.getValue().getJobQueueInfo());
}
return m;

8
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-hs/src/main/java/org/apache/hadoop/mapreduce/v2/hs/CompletedJob.java
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@ -227,10 +227,10 @@ public class CompletedJob implements org.apache.hadoop.mapreduce.v2.app.job.Job
completionEvents = new LinkedList<TaskAttemptCompletionEvent>();
List<TaskAttempt> allTaskAttempts = new LinkedList<TaskAttempt>();
int numMapAttempts = 0;
for (TaskId taskId : tasks.keySet()) {
Task task = tasks.get(taskId);
for (TaskAttemptId taskAttemptId : task.getAttempts().keySet()) {
TaskAttempt taskAttempt = task.getAttempts().get(taskAttemptId);
for (Map.Entry<TaskId,Task> taskEntry : tasks.entrySet()) {
Task task = taskEntry.getValue();
for (Map.Entry<TaskAttemptId,TaskAttempt> taskAttemptEntry : task.getAttempts().entrySet()) {
TaskAttempt taskAttempt = taskAttemptEntry.getValue();
allTaskAttempts.add(taskAttempt);
if (task.getType() == TaskType.MAP) {
++numMapAttempts;