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Posted to common-issues@hadoop.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2022/03/25 18:10:00 UTC
[jira] [Work logged] (HADOOP-18028) improve S3 read speed using prefetching & caching
[ https://issues.apache.org/jira/browse/HADOOP-18028?focusedWorklogId=747913&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-747913 ]
ASF GitHub Bot logged work on HADOOP-18028:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 25/Mar/22 18:09
Start Date: 25/Mar/22 18:09
Worklog Time Spent: 10m
Work Description: hadoop-yetus removed a comment on pull request #3736:
URL: https://github.com/apache/hadoop/pull/3736#issuecomment-989436895
:broken_heart: **-1 overall**
| Vote | Subsystem | Runtime | Logfile | Comment |
|:----:|----------:|--------:|:--------:|:-------:|
| +0 :ok: | reexec | 0m 47s | | Docker mode activated. |
|||| _ Prechecks _ |
| +1 :green_heart: | dupname | 0m 1s | | No case conflicting files found. |
| +0 :ok: | codespell | 0m 0s | | codespell was not available. |
| +0 :ok: | markdownlint | 0m 0s | | markdownlint was not available. |
| +1 :green_heart: | @author | 0m 0s | | The patch does not contain any @author tags. |
| +1 :green_heart: | test4tests | 0m 0s | | The patch appears to include 23 new or modified test files. |
|||| _ trunk Compile Tests _ |
| +1 :green_heart: | mvninstall | 32m 28s | | trunk passed |
| +1 :green_heart: | compile | 0m 48s | | trunk passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| +1 :green_heart: | compile | 0m 41s | | trunk passed with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| +1 :green_heart: | checkstyle | 0m 30s | | trunk passed |
| +1 :green_heart: | mvnsite | 0m 48s | | trunk passed |
| +1 :green_heart: | javadoc | 0m 28s | | trunk passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| +1 :green_heart: | javadoc | 0m 37s | | trunk passed with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| +1 :green_heart: | spotbugs | 1m 12s | | trunk passed |
| +1 :green_heart: | shadedclient | 20m 12s | | branch has no errors when building and testing our client artifacts. |
|||| _ Patch Compile Tests _ |
| +1 :green_heart: | mvninstall | 0m 45s | | the patch passed |
| +1 :green_heart: | compile | 0m 41s | | the patch passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| +1 :green_heart: | javac | 0m 41s | | the patch passed |
| +1 :green_heart: | compile | 0m 36s | | the patch passed with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| +1 :green_heart: | javac | 0m 36s | | the patch passed |
| +1 :green_heart: | blanks | 0m 0s | | The patch has no blanks issues. |
| -0 :warning: | checkstyle | 0m 23s | [/results-checkstyle-hadoop-tools_hadoop-aws.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3736/13/artifact/out/results-checkstyle-hadoop-tools_hadoop-aws.txt) | hadoop-tools/hadoop-aws: The patch generated 6 new + 5 unchanged - 3 fixed = 11 total (was 8) |
| +1 :green_heart: | mvnsite | 0m 40s | | the patch passed |
| +1 :green_heart: | xml | 0m 2s | | The patch has no ill-formed XML file. |
| +1 :green_heart: | javadoc | 0m 16s | | the patch passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| -1 :x: | javadoc | 0m 26s | [/results-javadoc-javadoc-hadoop-tools_hadoop-aws-jdkPrivateBuild-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3736/13/artifact/out/results-javadoc-javadoc-hadoop-tools_hadoop-aws-jdkPrivateBuild-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10.txt) | hadoop-tools_hadoop-aws-jdkPrivateBuild-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 generated 3 new + 62 unchanged - 0 fixed = 65 total (was 62) |
| +1 :green_heart: | spotbugs | 1m 17s | | the patch passed |
| +1 :green_heart: | shadedclient | 20m 14s | | patch has no errors when building and testing our client artifacts. |
|||| _ Other Tests _ |
| +1 :green_heart: | unit | 2m 37s | | hadoop-aws in the patch passed. |
| +1 :green_heart: | asflicense | 0m 33s | | The patch does not generate ASF License warnings. |
| | | 87m 48s | | |
| Subsystem | Report/Notes |
|----------:|:-------------|
| Docker | ClientAPI=1.41 ServerAPI=1.41 base: https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3736/13/artifact/out/Dockerfile |
| GITHUB PR | https://github.com/apache/hadoop/pull/3736 |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall mvnsite unit shadedclient codespell xml spotbugs checkstyle markdownlint |
| uname | Linux 5b3c26fd9634 4.15.0-58-generic #64-Ubuntu SMP Tue Aug 6 11:12:41 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | dev-support/bin/hadoop.sh |
| git revision | trunk / 6d9b189a70bedc70e5e756acf5feb1a59f12d078 |
| Default Java | Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| Multi-JDK versions | /usr/lib/jvm/java-11-openjdk-amd64:Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 /usr/lib/jvm/java-8-openjdk-amd64:Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| Test Results | https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3736/13/testReport/ |
| Max. process+thread count | 544 (vs. ulimit of 5500) |
| modules | C: hadoop-tools/hadoop-aws U: hadoop-tools/hadoop-aws |
| Console output | https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3736/13/console |
| versions | git=2.25.1 maven=3.6.3 spotbugs=4.2.2 |
| Powered by | Apache Yetus 0.14.0-SNAPSHOT https://yetus.apache.org |
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Issue Time Tracking
-------------------
Worklog Id: (was: 747913)
Time Spent: 11h 10m (was: 11h)
> improve S3 read speed using prefetching & caching
> -------------------------------------------------
>
> Key: HADOOP-18028
> URL: https://issues.apache.org/jira/browse/HADOOP-18028
> Project: Hadoop Common
> Issue Type: Improvement
> Components: fs/s3
> Reporter: Bhalchandra Pandit
> Priority: Major
> Labels: pull-request-available
> Time Spent: 11h 10m
> Remaining Estimate: 0h
>
> I work for Pinterest. I developed a technique for vastly improving read throughput when reading from the S3 file system. It not only helps the sequential read case (like reading a SequenceFile) but also significantly improves read throughput of a random access case (like reading Parquet). This technique has been very useful in significantly improving efficiency of the data processing jobs at Pinterest.
>
> I would like to contribute that feature to Apache Hadoop. More details on this technique are available in this blog I wrote recently:
> [https://medium.com/pinterest-engineering/improving-efficiency-and-reducing-runtime-using-s3-read-optimization-b31da4b60fa0]
>
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