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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-8898) Jets3t hangs with more than 1 core
Date Tue, 09 Feb 2016 09:16:18 GMT

     [ https://issues.apache.org/jira/browse/SPARK-8898?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-8898.
------------------------------
    Resolution: Not A Problem

... or perhaps obviated by the Hadoop 2.2 upgrade at this stage

> Jets3t hangs with more than 1 core
> ----------------------------------
>
>                 Key: SPARK-8898
>                 URL: https://issues.apache.org/jira/browse/SPARK-8898
>             Project: Spark
>          Issue Type: Bug
>          Components: EC2
>    Affects Versions: 1.4.0
>         Environment: S3
>            Reporter: Daniel Darabos
>
> If I have an RDD that reads from S3 ({{newAPIHadoopFile}}), and try to write this to
S3 ({{saveAsNewAPIHadoopFile}}), it hangs if I have more than 1 core per executor.
> It sounds like a race condition, but so far I have seen it trigger 100% of the time.
From a race for taking a limited number of connections I would expect it to succeed at least
on 1 task at least some of the time. But I never saw a single completed task, except when
running with 1-core executors.
> All executor threads hang with one of the following two stack traces:
> {noformat:title=Stack trace 1}
>    java.lang.Thread.State: WAITING (on object monitor)
>         at java.lang.Object.wait(Native Method)
>         - waiting on <0x00000007759cae70> (a org.apache.commons.httpclient.MultiThreadedHttpConnectionManager$ConnectionPool)
>         at org.apache.commons.httpclient.MultiThreadedHttpConnectionManager.doGetConnection(MultiThreadedHttpConnectionManager.java:518)
>         - locked <0x00000007759cae70> (a org.apache.commons.httpclient.MultiThreadedHttpConnectionManager$ConnectionPool)
>         at org.apache.commons.httpclient.MultiThreadedHttpConnectionManager.getConnectionWithTimeout(MultiThreadedHttpConnectionManager.java:416)
>         at org.apache.commons.httpclient.HttpMethodDirector.executeMethod(HttpMethodDirector.java:153)
>         at org.apache.commons.httpclient.HttpClient.executeMethod(HttpClient.java:397)
>         at org.apache.commons.httpclient.HttpClient.executeMethod(HttpClient.java:323)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:342)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.performRestHead(RestS3Service.java:718)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.getObjectImpl(RestS3Service.java:1599)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.getObjectDetailsImpl(RestS3Service.java:1535)
>         at org.jets3t.service.S3Service.getObjectDetails(S3Service.java:1987)
>         at org.jets3t.service.S3Service.getObjectDetails(S3Service.java:1332)
>         at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:107)
>         at sun.reflect.GeneratedMethodAccessor6.invoke(Unknown Source)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:606)
>         at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:164)
>         at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:83)
>         at org.apache.hadoop.fs.s3native.$Proxy8.retrieveMetadata(Unknown Source)
>         at org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:414)
>         at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1332)
>         at org.apache.hadoop.fs.s3native.NativeS3FileSystem.create(NativeS3FileSystem.java:341)
>         at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:851)
>         at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:832)
>         at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:731)
>         at org.apache.hadoop.mapreduce.lib.output.TextOutputFormat.getRecordWriter(TextOutputFormat.java:128)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1030)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1014)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
>         at org.apache.spark.scheduler.Task.run(Task.scala:70)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         at java.lang.Thread.run(Thread.java:745)
> {noformat}
> {noformat:title=Stack trace 2}
>    java.lang.Thread.State: WAITING (on object monitor)
>         at java.lang.Object.wait(Native Method)
>         - waiting on <0x00000007759cae70> (a org.apache.commons.httpclient.MultiThreadedHttpConnectionManager$ConnectionPool)
>         at org.apache.commons.httpclient.MultiThreadedHttpConnectionManager.doGetConnection(MultiThreadedHttpConnectionManager.java:518)
>         - locked <0x00000007759cae70> (a org.apache.commons.httpclient.MultiThreadedHttpConnectionManager$ConnectionPool)
>         at org.apache.commons.httpclient.MultiThreadedHttpConnectionManager.getConnectionWithTimeout(MultiThreadedHttpConnectionManager.java
> :416)
>         at org.apache.commons.httpclient.HttpMethodDirector.executeMethod(HttpMethodDirector.java:153)
>         at org.apache.commons.httpclient.HttpClient.executeMethod(HttpClient.java:397)
>         at org.apache.commons.httpclient.HttpClient.executeMethod(HttpClient.java:323)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:342)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.performRestGet(RestS3Service.java:752)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.getObjectImpl(RestS3Service.java:1601)
>         at org.jets3t.service.impl.rest.httpclient.RestS3Service.getObjectImpl(RestS3Service.java:1544)
>         at org.jets3t.service.S3Service.getObject(S3Service.java:2072)
>         at org.jets3t.service.S3Service.getObject(S3Service.java:1310)
>         at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieve(Jets3tNativeFileSystemStore.java:122)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:606)
>         at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:164)
>         at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:83)
>         at org.apache.hadoop.fs.s3native.$Proxy8.retrieve(Unknown Source)
>         at org.apache.hadoop.fs.s3native.NativeS3FileSystem.open(NativeS3FileSystem.java:564)
>         at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:711)
>         at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.initialize(LineRecordReader.java:75)
>         at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:133)
>         at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:104)
>         at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:66)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
>         at org.apache.spark.scheduler.Task.run(Task.scala:70)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         at java.lang.Thread.run(Thread.java:745)
> {noformat}
> This is running the ancient 0.7.1 version of Jets3t that comes with Spark. (Theoretically
Spark built with newer Hadoop profiles would use Jets3t 0.9.3, but I could not get the {{spark-ec2}}
script to install one of these builds.) I could not find documentation for this version, but
based on the current docs and the 0.7.1 source code I tried putting this into a {{jets3t.properties}}
file (which on the classpath of the driver and the executors):
> {noformat}
> httpclient.max-connections=10000
> httpclient.max-connections-per-host=10000
> http.connection-manager.max-total=10000
> http.connection-manager.max-per-host=10000
> {noformat}
> It didn't help.
> It's very simple to reproduce from the {{spark-shell}}. It's a bit messy because I have
to create a HadoopConfiguration to pass in the access key and the password. But I can add
it to the ticket if it would be useful.
> I understand that this is probably a Jets3t configuration issue. But I hope Spark could
use a newer version or provide defaults such that this would work better.



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