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https://issues.apache.org/jira/browse/TEZ-4542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17888688#comment-17888688
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yongzhi.shao edited comment on TEZ-4542 at 10/11/24 2:58 PM:
-------------------------------------------------------------

[~abstractdog] 

hello. TEZ-4577 is effectively the equivalent of backtracking to TEZ-4542, 
i.e., we're back to square one.
In this case, the problem of TEZ-4542 is not actually solved.
Maybe we need to discuss this issue in detail.

[~glapark] [~abstractdog]  , You have a lot of experience with TEZ-RUNTIME, 
what do you think?


was (Author: lisoda):
[~abstractdog] 

hello. TEZ-4577 is effectively the equivalent of backtracking to TEZ-4542, 
i.e., we're back to square one.
In this case, the problem of TEZ-4542 is not actually solved.
Maybe we need to discuss this issue in detail.

[~glapark] , You have a lot of experience with TEZ-RUNTIME, what do you think?

> Tez application may fail due to int overflow when record size is large and 
> sort memory is low.
> ----------------------------------------------------------------------------------------------
>
>                 Key: TEZ-4542
>                 URL: https://issues.apache.org/jira/browse/TEZ-4542
>             Project: Apache Tez
>          Issue Type: Bug
>    Affects Versions: 0.9.2
>            Reporter: Chenyu Zheng
>            Assignee: Chenyu Zheng
>            Priority: Major
>             Fix For: 0.10.4
>
>         Attachments: screenshot-1.png
>
>          Time Spent: 2h 10m
>  Remaining Estimate: 0h
>
> Tez application application fail, then found this error stack:
> {code:java}
>   at 
> org.apache.hadoop.hive.ql.exec.tez.ReduceRecordSource$GroupIterator.next(ReduceRecordSource.java:370)
>   at 
> org.apache.hadoop.hive.ql.exec.tez.ReduceRecordSource.pushRecord(ReduceRecordSource.java:292)
>   ... 18 more
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: 
> java.lang.IllegalArgumentException
>   at 
> org.apache.hadoop.hive.ql.exec.ReduceSinkOperator.process(ReduceSinkOperator.java:402)
>   at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:907)
>   at 
> org.apache.hadoop.hive.ql.exec.CommonJoinOperator.internalForward(CommonJoinOperator.java:643)
>   at 
> org.apache.hadoop.hive.ql.exec.CommonJoinOperator.genAllOneUniqueJoinObject(CommonJoinOperator.java:675)
>   at 
> org.apache.hadoop.hive.ql.exec.CommonJoinOperator.checkAndGenObject(CommonJoinOperator.java:753)
>   at 
> org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.joinObject(CommonMergeJoinOperator.java:314)
>   at 
> org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.joinOneGroup(CommonMergeJoinOperator.java:277)
>   at 
> org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.joinOneGroup(CommonMergeJoinOperator.java:270)
>   at 
> org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.process(CommonMergeJoinOperator.java:256)
>   at 
> org.apache.hadoop.hive.ql.exec.tez.ReduceRecordSource$GroupIterator.next(ReduceRecordSource.java:361)
>   ... 19 more
> Caused by: java.lang.IllegalArgumentException
>   at java.nio.Buffer.position(Buffer.java:244)
>   at 
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter$SortSpan.(PipelinedSorter.java:936)
>   at 
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.sort(PipelinedSorter.java:350)
>   at 
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.collect(PipelinedSorter.java:406)
>   at 
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.write(PipelinedSorter.java:379)
>   at 
> org.apache.tez.runtime.library.output.OrderedPartitionedKVOutput$1.write(OrderedPartitionedKVOutput.java:167)
>   at 
> org.apache.hadoop.hive.ql.exec.tez.TezProcessor$TezKVOutputCollector.collect(TezProcessor.java:204)
>   at 
> org.apache.hadoop.hive.ql.exec.ReduceSinkOperator.collect(ReduceSinkOperator.java:541)
>   at 
> org.apache.hadoop.hive.ql.exec.ReduceSinkOperator.process(ReduceSinkOperator.java:385)
>   ... 28 more {code}
> After adding the debug log, it is easy to find this problem. The variable 
> `dataSize` in {{{}PipelinedSorter::{}}}SortSpan is overflow. 
> This problem will be triggered if the following two conditions are met at the 
> same time:
>  * Too many IO for vertex, causing the memory allocated to each I/O for 
> sorting to be too small.
>  * When average record size is larger than 2K, `dataSize`  in 
> {{{}PipelinedSorter::{}}}SortSpan is overflow will be overflow, will not 
> try to allocate less meta space. Then raise exception.



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