[
https://issues.apache.org/jira/browse/HADOOP-19348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17930730#comment-17930730
]
ASF GitHub Bot commented on HADOOP-19348:
-----------------------------------------
steveloughran commented on PR #7433:
URL: https://github.com/apache/hadoop/pull/7433#issuecomment-2685397595
build was terminated after 12 hours
starts
```
2025-02-26T12:52:34
```
ends
```
//startup
[2025-02-26T15:00:04.455Z]
[2025-02-26T15:00:17.522Z] cd
/home/jenkins/jenkins-home/workspace/hadoop-multibranch_PR-7334/ubuntu-focal/src
// kicks off next build
[2025-02-26T15:00:17.522Z] /usr/bin/mvn --batch-mode
-Dmaven.repo.local=/home/jenkins/jenkins-home/workspace/hadoop-multibranch_PR-7334/yetus-m2/hadoop-trunk-patch-1
verify -fae --batch-mode -am -pl
hadoop-client-modules/hadoop-client-check-invariants -pl
hadoop-client-modules/hadoop-client-check-test-invariants -pl
hadoop-client-modules/hadoop-client-integration-tests -DskipShade
-Dtest=NoUnitTests -Dmaven.javadoc.skip=true -Dcheckstyle.skip=true
-Dspotbugs.skip=true -Dtest=NoUnitTests -Dmaven.javadoc.skip=true
-Dcheckstyle.skip=true -Dspotbugs.skip=true >
/home/jenkins/jenkins-home/workspace/hadoop-multibranch_PR-7334/ubuntu-focal/out/branch-shadedclient.txt
2>&1
// something kills the run
[2025-02-26T15:03:01.071Z] ERROR: Caught signal TERM.
[2025-02-26T15:03:01.071Z] exit status 143
```
raise on common-dev, assume it's a yetus/config/timeout issue.
> S3A: Add initial support for analytics-accelerator-s3
> -----------------------------------------------------
>
> Key: HADOOP-19348
> URL: https://issues.apache.org/jira/browse/HADOOP-19348
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3
> Affects Versions: 3.4.2
> Reporter: Ahmar Suhail
> Assignee: Ahmar Suhail
> Priority: Major
> Labels: pull-request-available
>
> S3 recently released [Analytics Accelerator Library for Amazon
> S3|https://github.com/awslabs/analytics-accelerator-s3] as an Alpha release,
> which is an input stream, with an initial goal of improving performance for
> Apache Spark workloads on Parquet datasets.
> For example, it implements optimisations such as footer prefetching, and so
> avoids the multiple GETS S3AInputStream currently makes for the footer bytes
> and PageIndex structures.
> The library also tracks columns currently being read by a query using the
> parquet metadata, and then prefetches these bytes when parquet files with the
> same schema are opened.
> This ticket tracks the work required for the basic initial integration. There
> is still more work to be done, such as VectoredIO support etc, which we will
> identify and follow up with.
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