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Posted to mapreduce-issues@hadoop.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/08/03 16:47:00 UTC
[jira] [Work logged] (MAPREDUCE-7341) Add a task-manifest output
committer for Azure and GCS
[ https://issues.apache.org/jira/browse/MAPREDUCE-7341?focusedWorklogId=633045&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-633045 ]
ASF GitHub Bot logged work on MAPREDUCE-7341:
---------------------------------------------
Author: ASF GitHub Bot
Created on: 03/Aug/21 16:46
Start Date: 03/Aug/21 16:46
Worklog Time Spent: 10m
Work Description: hadoop-yetus removed a comment on pull request #2971:
URL: https://github.com/apache/hadoop/pull/2971#issuecomment-888535151
:broken_heart: **-1 overall**
| Vote | Subsystem | Runtime | Logfile | Comment |
|:----:|----------:|--------:|:--------:|:-------:|
| +0 :ok: | reexec | 12m 9s | | Docker mode activated. |
|||| _ Prechecks _ |
| +1 :green_heart: | dupname | 0m 1s | | No case conflicting files found. |
| +0 :ok: | codespell | 0m 1s | | codespell was not available. |
| +0 :ok: | markdownlint | 0m 1s | | 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 _ |
| +0 :ok: | mvndep | 13m 39s | | Maven dependency ordering for branch |
| +1 :green_heart: | mvninstall | 20m 10s | | trunk passed |
| +1 :green_heart: | compile | 21m 9s | | trunk passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| +1 :green_heart: | compile | 18m 30s | | trunk passed with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| +1 :green_heart: | checkstyle | 3m 40s | | trunk passed |
| +1 :green_heart: | mvnsite | 4m 10s | | trunk passed |
| +1 :green_heart: | javadoc | 3m 17s | | trunk passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| +1 :green_heart: | javadoc | 3m 43s | | trunk passed with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| +0 :ok: | spotbugs | 0m 43s | | branch/hadoop-project no spotbugs output file (spotbugsXml.xml) |
| +1 :green_heart: | shadedclient | 14m 31s | | branch has no errors when building and testing our client artifacts. |
|||| _ Patch Compile Tests _ |
| +0 :ok: | mvndep | 0m 28s | | Maven dependency ordering for patch |
| +1 :green_heart: | mvninstall | 2m 16s | | the patch passed |
| +1 :green_heart: | compile | 20m 34s | | the patch passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| -1 :x: | javac | 20m 34s | [/results-compile-javac-root-jdkUbuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/26/artifact/out/results-compile-javac-root-jdkUbuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04.txt) | root-jdkUbuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 generated 4 new + 1912 unchanged - 1 fixed = 1916 total (was 1913) |
| +1 :green_heart: | compile | 18m 47s | | the patch passed with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| -1 :x: | javac | 18m 47s | [/results-compile-javac-root-jdkPrivateBuild-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/26/artifact/out/results-compile-javac-root-jdkPrivateBuild-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10.txt) | root-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 4 new + 1788 unchanged - 1 fixed = 1792 total (was 1789) |
| -1 :x: | blanks | 0m 0s | [/blanks-eol.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/26/artifact/out/blanks-eol.txt) | The patch has 4 line(s) that end in blanks. Use git apply --whitespace=fix <<patch_file>>. Refer https://git-scm.com/docs/git-apply |
| -0 :warning: | checkstyle | 3m 45s | [/results-checkstyle-root.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/26/artifact/out/results-checkstyle-root.txt) | root: The patch generated 44 new + 0 unchanged - 0 fixed = 44 total (was 0) |
| +1 :green_heart: | mvnsite | 4m 3s | | the patch passed |
| +1 :green_heart: | xml | 0m 9s | | The patch has no ill-formed XML file. |
| +1 :green_heart: | javadoc | 2m 49s | | the patch passed with JDK Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04 |
| +1 :green_heart: | javadoc | 3m 38s | | the patch passed with JDK Private Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
| +0 :ok: | spotbugs | 0m 37s | | hadoop-project has no data from spotbugs |
| -1 :x: | spotbugs | 1m 45s | [/new-spotbugs-hadoop-mapreduce-project_hadoop-mapreduce-client_hadoop-mapreduce-client-core.html](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/26/artifact/out/new-spotbugs-hadoop-mapreduce-project_hadoop-mapreduce-client_hadoop-mapreduce-client-core.html) | hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core generated 1 new + 0 unchanged - 0 fixed = 1 total (was 0) |
| +1 :green_heart: | shadedclient | 14m 52s | | patch has no errors when building and testing our client artifacts. |
|||| _ Other Tests _ |
| +1 :green_heart: | unit | 0m 36s | | hadoop-project in the patch passed. |
| +1 :green_heart: | unit | 17m 3s | | hadoop-common in the patch passed. |
| +1 :green_heart: | unit | 7m 24s | | hadoop-mapreduce-client-core in the patch passed. |
| +1 :green_heart: | unit | 2m 33s | | hadoop-azure in the patch passed. |
| +1 :green_heart: | asflicense | 1m 0s | | The patch does not generate ASF License warnings. |
| | | 231m 15s | | |
| Reason | Tests |
|-------:|:------|
| SpotBugs | module:hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core |
| | Inconsistent synchronization of org.apache.hadoop.mapreduce.lib.output.committer.manifest.RenameFilesStage.filesCommitted; locked 66% of time Unsynchronized access at RenameFilesStage.java:66% of time Unsynchronized access at RenameFilesStage.java:[line 93] |
| Subsystem | Report/Notes |
|----------:|:-------------|
| Docker | ClientAPI=1.41 ServerAPI=1.41 base: https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/26/artifact/out/Dockerfile |
| GITHUB PR | https://github.com/apache/hadoop/pull/2971 |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall mvnsite unit shadedclient spotbugs checkstyle codespell xml markdownlint |
| uname | Linux 92e68e26651c 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 / 57adca6eae79acf1b12427e2042ca752b43357b7 |
| 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-2971/26/testReport/ |
| Max. process+thread count | 2777 (vs. ulimit of 5500) |
| modules | C: hadoop-project hadoop-common-project/hadoop-common hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core hadoop-tools/hadoop-azure U: . |
| Console output | https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/26/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: 633045)
Time Spent: 10h 50m (was: 10h 40m)
> Add a task-manifest output committer for Azure and GCS
> ------------------------------------------------------
>
> Key: MAPREDUCE-7341
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-7341
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Components: client
> Affects Versions: 3.3.1
> Reporter: Steve Loughran
> Assignee: Steve Loughran
> Priority: Major
> Labels: pull-request-available
> Time Spent: 10h 50m
> Remaining Estimate: 0h
>
> Add a task-manifest output committer for Azure and GCS
> The S3A committers are very popular in Spark on S3, as they are both correct and fast.
> The classic FileOutputCommitter v1 and v2 algorithms are all that is available for Azure ABFS and Google GCS, and they have limitations.
> The v2 algorithm isn't safe in the presence of failed task attempt commits, so we
> recommend the v1 algorithm for Azure. But that is slow because it sequentially lists
> then renames files and directories, one-by-one. The latencies of list
> and rename make things slow.
> Google GCS lacks the atomic directory rename required for v1 correctness;
> v2 can be used (which doesn't have the job commit performance limitations),
> but it's not safe.
> Proposed
> * Add a new FileOutputFormat committer which uses an intermediate manifest to
> pass the list of files created by a TA to the job committer.
> * Job committer to parallelise reading these task manifests and submit all the
> rename operations into a pool of worker threads. (also: mkdir, directory deletions on cleanup)
> * Use the committer plugin mechanism added for s3a to make this the default committer for ABFS
> (i.e. no need to make any changes to FileOutputCommitter)
> * Add lots of IOStatistics instrumentation + logging of operations in the JobCommit
> for visibility of where delays are occurring.
> * Reuse the S3A committer _SUCCESS JSON structure to publish IOStats & other data
> for testing/support.
> This committer will be faster than the V1 algorithm because of the parallelisation, and
> because a manifest written by create-and-rename will be exclusive to a single task
> attempt, delivers the isolation which the v2 committer lacks.
> This is not an attempt to do an iceberg/hudi/delta-lake style manifest-only format
> for describing the contents of a table; the final output is still a directory tree
> which must be scanned during query planning.
> As such the format is still suboptimal for cloud storage -but at least we will have
> faster job execution during the commit phases.
>
> Note: this will also work on HDFS, where again, it should be faster than
> the v1 committer. However the target is very much Spark with ABFS and GCS; no plans to worry about MR as that simplifies the challenge of dealing with job restart (i.e. you don't have to)
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