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https://issues.apache.org/jira/browse/HADOOP-17201?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17219058#comment-17219058
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Steve Loughran commented on HADOOP-17201:
-----------------------------------------
...OK. the HADOOP-17244 patch will eliminate the double retry. It doesn't do
anything about identifying/fixing the problem you are seeing or downgrading.
FWIW, that downgrade does run the risk of hiding regressions in the s3a code,
e.g HADOOP-17261. At least now we can see when we've got something wrong. Nice
idea tho'
[[email protected]] if you could try turning off s3a retries entirely
fs.s3a.retry.limit = 1) that would help get us your stack trace. This doesn't
affect throttling...retries there are handled in the AWS SDK itself. Depending
on the hadoop build you have, it does affect how many attempts we do waiting
for newly created s3 objects to be visible. If you see 404s on rename then go
to 2 and a longer initial retry interval (long story)
> Spark job with s3acommitter stuck at the last stage
> ---------------------------------------------------
>
> Key: HADOOP-17201
> URL: https://issues.apache.org/jira/browse/HADOOP-17201
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/s3
> Affects Versions: 3.2.1
> Environment: we are on spark 2.4.5/hadoop 3.2.1 with s3a committer.
> spark.hadoop.fs.s3a.committer.magic.enabled: 'true'
> spark.hadoop.fs.s3a.committer.name: magic
> Reporter: Dyno
> Priority: Major
> Attachments: exec-120.log, exec-125.log, exec-25.log, exec-31.log,
> exec-36.log, exec-44.log, exec-5.log, exec-64.log, exec-7.log
>
>
> usually our spark job took 1 hour or 2 to finish, occasionally it runs for
> more than 3 hour and then we know it's stuck and usually the executor has
> stack like this
> {{
> "Executor task launch worker for task 78620" #265 daemon prio=5 os_prio=0
> tid=0x00007f73e0005000 nid=0x12d waiting on condition [0x00007f74cb291000]
> java.lang.Thread.State: TIMED_WAITING (sleeping)
> at java.lang.Thread.sleep(Native Method)
> at org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:349)
> at org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:285)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.deleteObjects(S3AFileSystem.java:1457)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.removeKeys(S3AFileSystem.java:1717)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.deleteUnnecessaryFakeDirectories(S3AFileSystem.java:2785)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.finishedWrite(S3AFileSystem.java:2751)
> at
> org.apache.hadoop.fs.s3a.WriteOperationHelper.lambda$finalizeMultipartUpload$1(WriteOperationHelper.java:238)
> at
> org.apache.hadoop.fs.s3a.WriteOperationHelper$$Lambda$210/1059071691.execute(Unknown
> Source)
> at org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:109)
> at org.apache.hadoop.fs.s3a.Invoker.lambda$retry$3(Invoker.java:265)
> at
> org.apache.hadoop.fs.s3a.Invoker$$Lambda$23/586859139.execute(Unknown Source)
> at org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:322)
> at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:261)
> at
> org.apache.hadoop.fs.s3a.WriteOperationHelper.finalizeMultipartUpload(WriteOperationHelper.java:226)
> at
> org.apache.hadoop.fs.s3a.WriteOperationHelper.completeMPUwithRetries(WriteOperationHelper.java:271)
> at
> org.apache.hadoop.fs.s3a.S3ABlockOutputStream$MultiPartUpload.complete(S3ABlockOutputStream.java:660)
> at
> org.apache.hadoop.fs.s3a.S3ABlockOutputStream$MultiPartUpload.access$200(S3ABlockOutputStream.java:521)
> at
> org.apache.hadoop.fs.s3a.S3ABlockOutputStream.close(S3ABlockOutputStream.java:385)
> at
> org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
> at
> org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:101)
> at
> org.apache.parquet.hadoop.util.HadoopPositionOutputStream.close(HadoopPositionOutputStream.java:64)
> at
> org.apache.parquet.hadoop.ParquetFileWriter.end(ParquetFileWriter.java:685)
> at
> org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:122)
> at
> org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:165)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetOutputWriter.scala:42)
> at
> org.apache.spark.sql.execution.datasources.FileFormatDataWriter.releaseResources(FileFormatDataWriter.scala:57)
> at
> org.apache.spark.sql.execution.datasources.FileFormatDataWriter.commit(FileFormatDataWriter.scala:74)
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:247)
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:242)
> at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:248)
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Locked ownable synchronizers:
> - <0x00000003a57332e0> (a
> java.util.concurrent.ThreadPoolExecutor$Worker)
> }}
> captured jstack on the stuck executors in case it's useful.
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