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https://issues.apache.org/jira/browse/MAPREDUCE-7341?focusedWorklogId=592149&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-592149
]
ASF GitHub Bot logged work on MAPREDUCE-7341:
---------------------------------------------
Author: ASF GitHub Bot
Created on: 03/May/21 12:52
Start Date: 03/May/21 12:52
Worklog Time Spent: 10m
Work Description: hadoop-yetus commented on pull request #2971:
URL: https://github.com/apache/hadoop/pull/2971#issuecomment-831238974
:broken_heart: **-1 overall**
| Vote | Subsystem | Runtime | Logfile | Comment |
|:----:|----------:|--------:|:--------:|:-------:|
| +0 :ok: | reexec | 0m 52s | | Docker mode activated. |
|||| _ Prechecks _ |
| +1 :green_heart: | dupname | 0m 0s | | No case conflicting files
found. |
| +0 :ok: | codespell | 0m 1s | | codespell 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 1 new or modified test files. |
|||| _ trunk Compile Tests _ |
| +1 :green_heart: | mvninstall | 36m 53s | | trunk passed |
| +1 :green_heart: | compile | 0m 38s | | trunk passed with JDK
Ubuntu-11.0.10+9-Ubuntu-0ubuntu1.20.04 |
| +1 :green_heart: | compile | 0m 32s | | trunk passed with JDK
Private Build-1.8.0_282-8u282-b08-0ubuntu1~20.04-b08 |
| +1 :green_heart: | checkstyle | 0m 33s | | trunk passed |
| +1 :green_heart: | mvnsite | 0m 38s | | trunk passed |
| +1 :green_heart: | javadoc | 0m 22s | | trunk passed with JDK
Ubuntu-11.0.10+9-Ubuntu-0ubuntu1.20.04 |
| +1 :green_heart: | javadoc | 0m 19s | | trunk passed with JDK
Private Build-1.8.0_282-8u282-b08-0ubuntu1~20.04-b08 |
| +1 :green_heart: | spotbugs | 1m 18s | | trunk passed |
| +1 :green_heart: | shadedclient | 16m 52s | | branch has no errors
when building and testing our client artifacts. |
| -0 :warning: | patch | 17m 9s | | Used diff version of patch file.
Binary files and potentially other changes not applied. Please rebase and
squash commits if necessary. |
|||| _ Patch Compile Tests _ |
| +1 :green_heart: | mvninstall | 0m 31s | | the patch passed |
| +1 :green_heart: | compile | 0m 32s | | the patch passed with JDK
Ubuntu-11.0.10+9-Ubuntu-0ubuntu1.20.04 |
| +1 :green_heart: | javac | 0m 32s | | the patch passed |
| +1 :green_heart: | compile | 0m 27s | | the patch passed with JDK
Private Build-1.8.0_282-8u282-b08-0ubuntu1~20.04-b08 |
| +1 :green_heart: | javac | 0m 27s | | the patch passed |
| +1 :green_heart: | blanks | 0m 0s | | The patch has no blanks
issues. |
| -0 :warning: | checkstyle | 0m 25s |
[/results-checkstyle-hadoop-mapreduce-project_hadoop-mapreduce-client_hadoop-mapreduce-client-core.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/1/artifact/out/results-checkstyle-hadoop-mapreduce-project_hadoop-mapreduce-client_hadoop-mapreduce-client-core.txt)
|
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core:
The patch generated 36 new + 0 unchanged - 0 fixed = 36 total (was 0) |
| +1 :green_heart: | mvnsite | 0m 32s | | the patch passed |
| +1 :green_heart: | javadoc | 0m 14s | | the patch passed with JDK
Ubuntu-11.0.10+9-Ubuntu-0ubuntu1.20.04 |
| +1 :green_heart: | javadoc | 0m 14s | | the patch passed with JDK
Private Build-1.8.0_282-8u282-b08-0ubuntu1~20.04-b08 |
| -1 :x: | spotbugs | 1m 28s |
[/new-spotbugs-hadoop-mapreduce-project_hadoop-mapreduce-client_hadoop-mapreduce-client-core.html](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/1/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 2 new + 0 unchanged - 0 fixed = 2 total (was 0) |
| +1 :green_heart: | shadedclient | 17m 20s | | patch has no errors
when building and testing our client artifacts. |
|||| _ Other Tests _ |
| +1 :green_heart: | unit | 7m 19s | | hadoop-mapreduce-client-core in
the patch passed. |
| +1 :green_heart: | asflicense | 0m 30s | | The patch does not
generate ASF License warnings. |
| | | 88m 47s | | |
| Reason | Tests |
|-------:|:------|
| SpotBugs |
module:hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core
|
| | Dead store to d in
org.apache.hadoop.mapreduce.lib.output.committer.manifest.GenerateTaskManifest.executeStage(String)
At
GenerateTaskManifest.java:org.apache.hadoop.mapreduce.lib.output.committer.manifest.GenerateTaskManifest.executeStage(String)
At GenerateTaskManifest.java:[line 83] |
| | Useless object stored in variable directoriesToCreate of method
org.apache.hadoop.mapreduce.lib.output.committer.manifest.PrepareDirectoriesStage.createAllDirectories(List)
At PrepareDirectoriesStage.java:directoriesToCreate of method
org.apache.hadoop.mapreduce.lib.output.committer.manifest.PrepareDirectoriesStage.createAllDirectories(List)
At PrepareDirectoriesStage.java:[line 80] |
| Subsystem | Report/Notes |
|----------:|:-------------|
| Docker | ClientAPI=1.41 ServerAPI=1.41 base:
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/1/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 |
| uname | Linux a061d950ba3e 4.15.0-101-generic #102-Ubuntu SMP Mon May 11
10:07:26 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | dev-support/bin/hadoop.sh |
| git revision | trunk / 6a1ec67298675824bffc0f0aae840f5aa7aa399a |
| Default Java | Private Build-1.8.0_282-8u282-b08-0ubuntu1~20.04-b08 |
| Multi-JDK versions |
/usr/lib/jvm/java-11-openjdk-amd64:Ubuntu-11.0.10+9-Ubuntu-0ubuntu1.20.04
/usr/lib/jvm/java-8-openjdk-amd64:Private
Build-1.8.0_282-8u282-b08-0ubuntu1~20.04-b08 |
| Test Results |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/1/testReport/ |
| Max. process+thread count | 1082 (vs. ulimit of 5500) |
| modules | C:
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core
U:
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core |
| Console output |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-2971/1/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: 592149)
Time Spent: 20m (was: 10m)
> 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: 20m
> 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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