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https://issues.apache.org/jira/browse/MAPREDUCE-7457?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17777399#comment-17777399
 ] 

ASF GitHub Bot commented on MAPREDUCE-7457:
-------------------------------------------

mudit1289 commented on code in PR #6155:
URL: https://github.com/apache/hadoop/pull/6155#discussion_r1365889906


##########
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/test/java/org/apache/hadoop/mapred/TestMapTask.java:
##########
@@ -84,4 +93,77 @@ public void testShufflePermissions() throws Exception {
     Assert.assertEquals("Incorrect index file perms",
         (short)0640, perms.toShort());
   }
+
+  @Test
+  public void testSpillFilesCountLimitInvalidValue() throws Exception {
+    JobConf conf = new JobConf();
+    conf.set(CommonConfigurationKeys.FS_PERMISSIONS_UMASK_KEY, "077");
+    conf.set(MRConfig.LOCAL_DIR, TEST_ROOT_DIR.getAbsolutePath());
+    conf.setInt(MRJobConfig.SPILL_FILES_COUNT_LIMIT, -2);
+    MapOutputFile mof = new MROutputFiles();
+    mof.setConf(conf);
+    TaskAttemptID attemptId = new TaskAttemptID("12345", 1, TaskType.MAP, 1, 
1);
+    MapTask mockTask = mock(MapTask.class);
+    doReturn(mof).when(mockTask).getMapOutputFile();
+    doReturn(attemptId).when(mockTask).getTaskID();
+    doReturn(new Progress()).when(mockTask).getSortPhase();
+    TaskReporter mockReporter = mock(TaskReporter.class);
+    doReturn(new Counter()).when(mockReporter).getCounter(
+            any(TaskCounter.class));

Review Comment:
   Addressed now, please check



##########
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapred/MapTask.java:
##########
@@ -984,10 +987,16 @@ public void init(MapOutputCollector.Context context
           MRJobConfig.DEFAULT_IO_SORT_MB);
       indexCacheMemoryLimit = job.getInt(JobContext.INDEX_CACHE_MEMORY_LIMIT,
                                          INDEX_CACHE_MEMORY_LIMIT_DEFAULT);
+      spillFilesCountLimit = job.getInt(JobContext.SPILL_FILES_COUNT_LIMIT,
+              SPILL_FILES_COUNT_LIMIT_DEFAULT);

Review Comment:
   Addressed now, please check





> Limit number of spill files getting created
> -------------------------------------------
>
>                 Key: MAPREDUCE-7457
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-7457
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>            Reporter: Mudit Sharma
>            Priority: Critical
>              Labels: pull-request-available
>
> Hi,
>  
> We have been facing some issues where many of our cluster node disks go full 
> because of some rogue applications creating a lot of spill data
> We wanted to fail the app if more than a threshold amount of spill files are 
> written
> Please let us know if any such capability is supported
>  
> If the capability is not there, we are proposing it to support it via a 
> config, we have added a PR for the same: 
> [https://github.com/apache/hadoop/pull/6155]  please let us know your 
> thoughts on it



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