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https://issues.apache.org/jira/browse/MAPREDUCE-7435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17731085#comment-17731085
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ASF GitHub Bot commented on MAPREDUCE-7435:
-------------------------------------------
hadoop-yetus commented on PR #5728:
URL: https://github.com/apache/hadoop/pull/5728#issuecomment-1585066047
:confetti_ball: **+1 overall**
| Vote | Subsystem | Runtime | Logfile | Comment |
|:----:|----------:|--------:|:--------:|:-------:|
| +0 :ok: | reexec | 0m 39s | | 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: | detsecrets | 0m 0s | | detect-secrets 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 12 new or modified test files. |
|||| _ branch-3.3 Compile Tests _ |
| +0 :ok: | mvndep | 17m 33s | | Maven dependency ordering for branch |
| +1 :green_heart: | mvninstall | 26m 2s | | branch-3.3 passed |
| +1 :green_heart: | compile | 20m 28s | | branch-3.3 passed |
| +1 :green_heart: | checkstyle | 2m 56s | | branch-3.3 passed |
| +1 :green_heart: | mvnsite | 4m 57s | | branch-3.3 passed |
| +1 :green_heart: | javadoc | 3m 33s | | branch-3.3 passed |
| +1 :green_heart: | spotbugs | 7m 25s | | branch-3.3 passed |
| +1 :green_heart: | shadedclient | 27m 2s | | branch has no errors
when building and testing our client artifacts. |
|||| _ Patch Compile Tests _ |
| +0 :ok: | mvndep | 0m 34s | | Maven dependency ordering for patch |
| +1 :green_heart: | mvninstall | 3m 15s | | the patch passed |
| +1 :green_heart: | compile | 19m 56s | | the patch passed |
| +1 :green_heart: | javac | 19m 56s | | the patch passed |
| +1 :green_heart: | blanks | 0m 0s | | The patch has no blanks
issues. |
| -0 :warning: | checkstyle | 2m 44s |
[/results-checkstyle-root.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5728/1/artifact/out/results-checkstyle-root.txt)
| root: The patch generated 2 new + 32 unchanged - 1 fixed = 34 total (was
33) |
| +1 :green_heart: | mvnsite | 4m 54s | | the patch passed |
| +1 :green_heart: | javadoc | 3m 15s | | the patch passed |
| +1 :green_heart: | spotbugs | 7m 51s | | the patch passed |
| +1 :green_heart: | shadedclient | 27m 15s | | patch has no errors
when building and testing our client artifacts. |
|||| _ Other Tests _ |
| +1 :green_heart: | unit | 18m 41s | | hadoop-common in the patch
passed. |
| +1 :green_heart: | unit | 8m 8s | | hadoop-mapreduce-client-core in
the patch passed. |
| +1 :green_heart: | unit | 3m 2s | | hadoop-aws in the patch passed.
|
| +1 :green_heart: | unit | 2m 26s | | hadoop-azure in the patch
passed. |
| +1 :green_heart: | asflicense | 1m 10s | | The patch does not
generate ASF License warnings. |
| | | 219m 32s | | |
| Subsystem | Report/Notes |
|----------:|:-------------|
| Docker | ClientAPI=1.43 ServerAPI=1.43 base:
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5728/1/artifact/out/Dockerfile
|
| GITHUB PR | https://github.com/apache/hadoop/pull/5728 |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient spotbugs checkstyle codespell detsecrets markdownlint
|
| uname | Linux 6f61f2e4ee32 4.15.0-206-generic #217-Ubuntu SMP Fri Feb 3
19:10:13 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | dev-support/bin/hadoop.sh |
| git revision | branch-3.3 / 2925d9f3c81a662930e51a4c80c2268bafdfe51b |
| Default Java | Private Build-1.8.0_362-8u372-ga~us1-0ubuntu1~18.04-b09 |
| Test Results |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5728/1/testReport/ |
| Max. process+thread count | 2159 (vs. ulimit of 5500) |
| modules | C: hadoop-common-project/hadoop-common
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core
hadoop-tools/hadoop-aws hadoop-tools/hadoop-azure U: . |
| Console output |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5728/1/console |
| versions | git=2.17.1 maven=3.6.0 spotbugs=4.2.2 |
| Powered by | Apache Yetus 0.14.0 https://yetus.apache.org |
This message was automatically generated.
> ManifestCommitter OOM on azure job
> ----------------------------------
>
> Key: MAPREDUCE-7435
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-7435
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: client
> Affects Versions: 3.3.5
> Reporter: Steve Loughran
> Assignee: Steve Loughran
> Priority: Major
> Labels: pull-request-available
>
> I've got some reports of spark jobs OOM if the manifest committer is used
> through abfs.
> either the manifests are using too much memory, or something is not working
> with azure stream memory use (or both).
> before proposing a solution, first step should be to write a test to load
> many, many manifests, each with lots of dirs and files to see what breaks.
> note: we did have OOM issues with the s3a committer, on teragen but those
> structures have to include every etag of every block, so the manifest size is
> O(blocks); the new committer is O(files + dirs).
> {code}
> java.lang.OutOfMemoryError: Java heap space
> at
> org.apache.hadoop.fs.azurebfs.services.AbfsInputStream.readOneBlock(AbfsInputStream.java:314)
> at
> org.apache.hadoop.fs.azurebfs.services.AbfsInputStream.read(AbfsInputStream.java:267)
> at java.io.DataInputStream.read(DataInputStream.java:149)
> at
> com.fasterxml.jackson.core.json.ByteSourceJsonBootstrapper.ensureLoaded(ByteSourceJsonBootstrapper.java:539)
> at
> com.fasterxml.jackson.core.json.ByteSourceJsonBootstrapper.detectEncoding(ByteSourceJsonBootstrapper.java:133)
> at
> com.fasterxml.jackson.core.json.ByteSourceJsonBootstrapper.constructParser(ByteSourceJsonBootstrapper.java:256)
> at com.fasterxml.jackson.core.JsonFactory._createParser(JsonFactory.java:1656)
> at com.fasterxml.jackson.core.JsonFactory.createParser(JsonFactory.java:1085)
> at
> com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:3585)
> at
> org.apache.hadoop.util.JsonSerialization.fromJsonStream(JsonSerialization.java:164)
> at org.apache.hadoop.util.JsonSerialization.load(JsonSerialization.java:279)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.files.TaskManifest.load(TaskManifest.java:361)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.impl.ManifestStoreOperationsThroughFileSystem.loadTaskManifest(ManifestStoreOperationsThroughFileSystem.java:133)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.stages.AbstractJobOrTaskStage.lambda$loadManifest$6(AbstractJobOrTaskStage.java:493)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.stages.AbstractJobOrTaskStage$$Lambda$231/1813048085.apply(Unknown
> Source)
> at
> org.apache.hadoop.fs.statistics.impl.IOStatisticsBinding.invokeTrackingDuration(IOStatisticsBinding.java:543)
> at
> org.apache.hadoop.fs.statistics.impl.IOStatisticsBinding.lambda$trackDurationOfOperation$5(IOStatisticsBinding.java:524)
> at
> org.apache.hadoop.fs.statistics.impl.IOStatisticsBinding$$Lambda$217/489150849.apply(Unknown
> Source)
> at
> org.apache.hadoop.fs.statistics.impl.IOStatisticsBinding.trackDuration(IOStatisticsBinding.java:445)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.stages.AbstractJobOrTaskStage.loadManifest(AbstractJobOrTaskStage.java:492)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.stages.LoadManifestsStage.fetchTaskManifest(LoadManifestsStage.java:170)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.stages.LoadManifestsStage.processOneManifest(LoadManifestsStage.java:138)
> at
> org.apache.hadoop.mapreduce.lib.output.committer.manifest.stages.LoadManifestsStage$$Lambda$229/137752948.run(Unknown
> Source)
> at
> org.apache.hadoop.util.functional.TaskPool$Builder.lambda$runParallel$0(TaskPool.java:410)
> at
> org.apache.hadoop.util.functional.TaskPool$Builder$$Lambda$230/467893357.run(Unknown
> Source)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:750)
> {code}
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