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From "thushara wijeratna (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-6109) Handle large (several MB) text input lines in a reasonable amount of time
Date Fri, 26 Jun 2009 22:21:47 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-6109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12724741#action_12724741
] 

thushara wijeratna commented on HADOOP-6109:
--------------------------------------------

correct Chris - the speculated over-allocation is the only significant difference between
ByteArrayOutputStream and Text class, with regard to increasing capacity.
i have tested this and can confirm the perf improvements. after running the hadoop tests i
will attach the patch.
thanks, 

> Handle large (several MB) text input lines in a reasonable amount of time
> -------------------------------------------------------------------------
>
>                 Key: HADOOP-6109
>                 URL: https://issues.apache.org/jira/browse/HADOOP-6109
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: util
>    Affects Versions: 0.19.0
>         Environment: Linux 2.6 kernel, java 1.6 AMD Dual-Core Opteron 2.6GHz with 1M
L1/L2 cache 1.8G RAM
>            Reporter: thushara wijeratna
>         Attachments: HADOOP-1234.patch
>
>
> problem:
> =======
> hadoop was timing out on a simple pass-through job (with the default 10 min timeout)
> cause:
> =====
> i hunted this down to how Text lines are being processed inside org.apache.hadoop.util.LineReader.
> i have a fix, a task that took more than 20 minutes and still failed to complete, completes
with this fix in under 30 s.
> i attach the patch (for trunk)
> the problem traces:
> ================
> hadoop version: 0.19.0
> userlogs on slave node:
> 2009-05-29 13:57:33,551 WARN org.apache.hadoop.mapred.TaskRunner: Parent died.  Exiting
attempt_200905281652_0013_m_000006_1
> [root@domU-12-31-38-01-7C-92 attempt_200905281652_0013_m_000006_1]#
> tellingly, the last input line processed right before this WARN is 19K. (i log the full
input line in the map function for debugging)
> output on map-reduce task:
> Task attempt_200905281652_0013_m_000006_2 failed to report status for 600 seconds. Killing!
> 09/05/29 14:08:01 INFO mapred.JobClient:  map 99% reduce 32%
> 09/05/29 14:18:05 INFO mapred.JobClient:  map 98% reduce 32%
> java.io.IOException: Job failed!
>     at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1217)
>     at com.adxpose.data.mr.DailyHeatmapAggregator.run(DailyHeatmapAggregator.java:547)
>     at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
>     at com.adxpose.data.mr.DailyHeatmapAggregator.main(DailyHeatmapAggregator.java:553)
>     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
>     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
>     at java.lang.reflect.Method.invoke(Method.java:597)
>     at org.apache.hadoop.util.RunJar.main(RunJar.java:165)
>     at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54)
>     at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
>     at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
>     at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68)

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