<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>question How to debug MapReduce job ? in Archives of Support Questions (Read Only)</title>
    <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/How-to-debug-MapReduce-job/m-p/169899#M41817</link>
    <description>&lt;P&gt;I am trying execute one MapReduce job in java but it is getting stuck at the middle and finally it was timed out. Below is the log&lt;/P&gt;&lt;PRE&gt;16/09/26 18:46:42 INFO mapreduce.Job: Running job: job_1474692614849_0070
16/09/26 18:46:50 INFO mapreduce.Job: Job job_1474692614849_0070 running in uber mode : false
16/09/26 18:46:50 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 18:47:01 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 18:52:19 INFO mapreduce.Job: Task Id : attempt_1474692614849_0070_m_000000_0, Status : FAILED
AttemptID:attempt_1474692614849_0070_m_000000_0 Timed out after 300 secs
16/09/26 18:52:20 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 18:52:30 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 18:57:49 INFO mapreduce.Job: Task Id : attempt_1474692614849_0070_m_000000_1, Status : FAILED
AttemptID:attempt_1474692614849_0070_m_000000_1 Timed out after 300 secs
Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143


16/09/26 18:57:50 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 18:57:59 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 19:03:19 INFO mapreduce.Job: Task Id : attempt_1474692614849_0070_m_000000_2, Status : FAILED
AttemptID:attempt_1474692614849_0070_m_000000_2 Timed out after 300 secs
16/09/26 19:03:20 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 19:03:31 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 19:08:50 INFO mapreduce.Job:  map 100% reduce 100%
16/09/26 19:08:50 INFO mapreduce.Job: Job job_1474692614849_0070 failed with state FAILED due to: Task failed task_1474692614849_0070_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0


16/09/26 19:08:50 INFO mapreduce.Job: Counters: 13
        Job Counters
                Failed map tasks=4
                Killed reduce tasks=1
                Launched map tasks=4
                Other local map tasks=3
                Rack-local map tasks=1
                Total time spent by all maps in occupied slots (ms)=1311303
                Total time spent by all reduces in occupied slots (ms)=0
                Total time spent by all map tasks (ms)=1311303
                Total time spent by all reduce tasks (ms)=0
                Total vcore-seconds taken by all map tasks=1311303
                Total vcore-seconds taken by all reduce tasks=0
                Total megabyte-seconds taken by all map tasks=2685548544
                Total megabyte-seconds taken by all reduce tasks=0


&lt;/PRE&gt;&lt;P&gt;Is there any way to debug this mapreduce job ? Please help.&lt;/P&gt;</description>
    <pubDate>Mon, 26 Sep 2016 20:21:21 GMT</pubDate>
    <dc:creator>arkaprova</dc:creator>
    <dc:date>2016-09-26T20:21:21Z</dc:date>
    <item>
      <title>How to debug MapReduce job ?</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/How-to-debug-MapReduce-job/m-p/169899#M41817</link>
      <description>&lt;P&gt;I am trying execute one MapReduce job in java but it is getting stuck at the middle and finally it was timed out. Below is the log&lt;/P&gt;&lt;PRE&gt;16/09/26 18:46:42 INFO mapreduce.Job: Running job: job_1474692614849_0070
16/09/26 18:46:50 INFO mapreduce.Job: Job job_1474692614849_0070 running in uber mode : false
16/09/26 18:46:50 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 18:47:01 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 18:52:19 INFO mapreduce.Job: Task Id : attempt_1474692614849_0070_m_000000_0, Status : FAILED
AttemptID:attempt_1474692614849_0070_m_000000_0 Timed out after 300 secs
16/09/26 18:52:20 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 18:52:30 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 18:57:49 INFO mapreduce.Job: Task Id : attempt_1474692614849_0070_m_000000_1, Status : FAILED
AttemptID:attempt_1474692614849_0070_m_000000_1 Timed out after 300 secs
Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143


16/09/26 18:57:50 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 18:57:59 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 19:03:19 INFO mapreduce.Job: Task Id : attempt_1474692614849_0070_m_000000_2, Status : FAILED
AttemptID:attempt_1474692614849_0070_m_000000_2 Timed out after 300 secs
16/09/26 19:03:20 INFO mapreduce.Job:  map 0% reduce 0%
16/09/26 19:03:31 INFO mapreduce.Job:  map 33% reduce 0%
16/09/26 19:08:50 INFO mapreduce.Job:  map 100% reduce 100%
16/09/26 19:08:50 INFO mapreduce.Job: Job job_1474692614849_0070 failed with state FAILED due to: Task failed task_1474692614849_0070_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0


16/09/26 19:08:50 INFO mapreduce.Job: Counters: 13
        Job Counters
                Failed map tasks=4
                Killed reduce tasks=1
                Launched map tasks=4
                Other local map tasks=3
                Rack-local map tasks=1
                Total time spent by all maps in occupied slots (ms)=1311303
                Total time spent by all reduces in occupied slots (ms)=0
                Total time spent by all map tasks (ms)=1311303
                Total time spent by all reduce tasks (ms)=0
                Total vcore-seconds taken by all map tasks=1311303
                Total vcore-seconds taken by all reduce tasks=0
                Total megabyte-seconds taken by all map tasks=2685548544
                Total megabyte-seconds taken by all reduce tasks=0


&lt;/PRE&gt;&lt;P&gt;Is there any way to debug this mapreduce job ? Please help.&lt;/P&gt;</description>
      <pubDate>Mon, 26 Sep 2016 20:21:21 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/How-to-debug-MapReduce-job/m-p/169899#M41817</guid>
      <dc:creator>arkaprova</dc:creator>
      <dc:date>2016-09-26T20:21:21Z</dc:date>
    </item>
    <item>
      <title>Re: How to debug MapReduce job ?</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/How-to-debug-MapReduce-job/m-p/169900#M41818</link>
      <description>&lt;A rel="user" href="https://community.cloudera.com/users/12830/bigdataarkaprova.html" nodeid="12830"&gt;@Arkaprova Saha&lt;/A&gt;&lt;P&gt;Can you please login to resource manager UI(http://&amp;lt;RM-hostname-or-ip:8088) and search for job_1474692614849_0070.&lt;/P&gt;&lt;P&gt;You can see application master/mapper/reducer logs to see exactly what has happened and why your job got timed out.&lt;/P&gt;&lt;P style="margin-left: 20px;"&gt;Hope this information helps.&lt;/P&gt;</description>
      <pubDate>Mon, 26 Sep 2016 22:15:41 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/How-to-debug-MapReduce-job/m-p/169900#M41818</guid>
      <dc:creator>KuldeepK</dc:creator>
      <dc:date>2016-09-26T22:15:41Z</dc:date>
    </item>
    <item>
      <title>Re: How to debug MapReduce job ?</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/How-to-debug-MapReduce-job/m-p/169901#M41819</link>
      <description>&lt;P&gt;&lt;A rel="user" href="https://community.cloudera.com/users/504/kkulkarni.html" nodeid="504"&gt;@Kuldeep Kulkarni&lt;/A&gt; Thanks for your reply and I will check.&lt;/P&gt;</description>
      <pubDate>Tue, 27 Sep 2016 12:54:06 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/How-to-debug-MapReduce-job/m-p/169901#M41819</guid>
      <dc:creator>arkaprova</dc:creator>
      <dc:date>2016-09-27T12:54:06Z</dc:date>
    </item>
  </channel>
</rss>

