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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 > [r...@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) -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.