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https://issues.apache.org/jira/browse/HADOOP-19091?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17903673#comment-17903673
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Steve Loughran commented on HADOOP-19091:
-----------------------------------------
1. ITestConnectionTimeouts: you testing over a long haul connection? if so:
ignore it
{code}
[ERROR]
testAutomaticProxyPortSelection(org.apache.hadoop.fs.s3a.ITestS3AConfiguration)
Time elapsed: 0.035 s <<< ERROR!}
java.io.FileNotFoundException: listObjects() on s3a://test-aws-s3a-vnarayanan/:
software.amazon.awssdk.services.s3.model.S3Exception: null (Service: S3, Status
Code: 404, Request ID: null):null}
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:283)}
{code}
We are expecting a failure, it is just that store is failing differently.
Either it is third party or there is some proxy there.
what is your config?
> Add support for Tez to MagicS3GuardCommitter
> --------------------------------------------
>
> Key: HADOOP-19091
> URL: https://issues.apache.org/jira/browse/HADOOP-19091
> Project: Hadoop Common
> Issue Type: Improvement
> Components: fs/s3
> Affects Versions: 3.3.6
> Environment: Pig 17/Hive 3.1.3 with Hadoop 3.3.3 on AWS EMR 6-12.0
> Reporter: Venkatasubrahmanian Narayanan
> Assignee: Venkatasubrahmanian Narayanan
> Priority: Major
> Attachments: 0001-AWS-Hive-Changes.patch,
> 0002-HIVE-27698-Backport-of-HIVE-22398-Remove-legacy-code.patch,
> HADOOP-19091-HIVE-WIP.patch
>
>
> The MagicS3GuardCommitter assumes that the JobID of the task is the same as
> that of the job's application master when writing/reading the .pendingset
> file. This assumption is not valid when running with Tez, which creates
> slightly different JobIDs for tasks and the application master.
>
> While the MagicS3GuardCommitter is intended only for MRv2, it mostly works
> fine with an MRv1 wrapper with Hive/Pig (with some minor changes to Hive) run
> in MR mode. This issue only crops up when running queries with the Tez
> execution engine. I can upload a patch to Hive 3.1 to reproduce this error on
> EMR if needed.
>
> Fixing this will probably require work from both Tez and Hadoop, wanted to
> start a discussion here so we can figure out how exactly we go about this.
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