Re: Spark task hangs infinitely when accessing S3 from AWS
.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) >> java.lang.Thread.run(Thread.java:745) >> >> >> On Tue, Jan 26, 2016 at 4:26 PM, Erisa Dervishi <erisa...@gmail.com> >> wrote: >> >>> I have quite a different situation though. >>> My job works fine for S3 files (avro format) up to 1G. It starts to hang >>> for files larger than that size (1.5G for example) >>> >>> This is how I am creating the RDD: >>> >>> val rdd: RDD[T] = ctx.newAPIHadoopFile[AvroKey[T], NullWritable, >>> AvroKeyInputFormat[T]](s"s3n://path-to-avro-file") >>> >>> Because of dependency issues, I had to use an older version of Spark, >>> and the job was hanging while reading from S3, but right now I upgraded to >>> spark 1.5.2 and seems like reading from S3 works fine (first succeeded task >>> in the screenshot attached, which takes 42 s). >>> >>> But than it gets stuck. The screenshot attached shows 24 running tasks >>> that hang forever (with a "Running" status) eventhough I am just doing: >>> rdd.count() (initially it was a groupby and I thought it was causing the >>> issue, but even with just counting the lines of the file it hangs) >>> >>> Any suggestion is appreciated, >>> Erisa >>> >>> On Tue, Jan 26, 2016 at 2:19 PM, Gourav Sengupta < >>> gourav.sengu...@gmail.com> wrote: >>> >>>> Hi, >>>> >>>> Are you creating RDD's using textfile option? Can you please let me >>>> know the following: >>>> 1. Number of partitions >>>> 2. Number of files >>>> 3. Time taken to create the RDD's >>>> >>>> >>>> Regards, >>>> Gourav Sengupta >>>> >>>> >>>> On Tue, Jan 26, 2016 at 1:12 PM, Gourav Sengupta < >>>> gourav.sengu...@gmail.com> wrote: >>>> >>>>> Hi, >>>>> >>>>> are you creating RDD's out of the data? >>>>> >>>>> >>>>> >>>>> Regards, >>>>> Gourav >>>>> >>>>> On Tue, Jan 26, 2016 at 12:45 PM, aecc <alessandroa...@gmail.com> >>>>> wrote: >>>>> >>>>>> Sorry, I have not been able to solve the issue. I used speculation >>>>>> mode as >>>>>> workaround to this. >>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> View this message in context: >>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p26068.html >>>>>> Sent from the Apache Spark User List mailing list archive at >>>>>> Nabble.com. >>>>>> >>>>>> - >>>>>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>>>>> For additional commands, e-mail: user-h...@spark.apache.org >>>>>> >>>>>> >>>>> >>>> >>> >> >
Re: Spark task hangs infinitely when accessing S3 from AWS
> >> val rdd: RDD[T] = ctx.newAPIHadoopFile[AvroKey[T], NullWritable, >> AvroKeyInputFormat[T]](s"s3n://path-to-avro-file") >> >> Because of dependency issues, I had to use an older version of Spark, and >> the job was hanging while reading from S3, but right now I upgraded to >> spark 1.5.2 and seems like reading from S3 works fine (first succeeded task >> in the screenshot attached, which takes 42 s). >> >> But than it gets stuck. The screenshot attached shows 24 running tasks >> that hang forever (with a "Running" status) eventhough I am just doing: >> rdd.count() (initially it was a groupby and I thought it was causing the >> issue, but even with just counting the lines of the file it hangs) >> >> Any suggestion is appreciated, >> Erisa >> >> On Tue, Jan 26, 2016 at 2:19 PM, Gourav Sengupta < >> gourav.sengu...@gmail.com> wrote: >> >>> Hi, >>> >>> Are you creating RDD's using textfile option? Can you please let me know >>> the following: >>> 1. Number of partitions >>> 2. Number of files >>> 3. Time taken to create the RDD's >>> >>> >>> Regards, >>> Gourav Sengupta >>> >>> >>> On Tue, Jan 26, 2016 at 1:12 PM, Gourav Sengupta < >>> gourav.sengu...@gmail.com> wrote: >>> >>>> Hi, >>>> >>>> are you creating RDD's out of the data? >>>> >>>> >>>> >>>> Regards, >>>> Gourav >>>> >>>> On Tue, Jan 26, 2016 at 12:45 PM, aecc <alessandroa...@gmail.com> >>>> wrote: >>>> >>>>> Sorry, I have not been able to solve the issue. I used speculation >>>>> mode as >>>>> workaround to this. >>>>> >>>>> >>>>> >>>>> -- >>>>> View this message in context: >>>>> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p26068.html >>>>> Sent from the Apache Spark User List mailing list archive at >>>>> Nabble.com. >>>>> >>>>> - >>>>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>>>> For additional commands, e-mail: user-h...@spark.apache.org >>>>> >>>>> >>>> >>> >> >
Re: Spark task hangs infinitely when accessing S3 from AWS
Hi, Are you creating RDD's using textfile option? Can you please let me know the following: 1. Number of partitions 2. Number of files 3. Time taken to create the RDD's Regards, Gourav Sengupta On Tue, Jan 26, 2016 at 1:12 PM, Gourav Sengupta <gourav.sengu...@gmail.com> wrote: > Hi, > > are you creating RDD's out of the data? > > > > Regards, > Gourav > > On Tue, Jan 26, 2016 at 12:45 PM, aecc <alessandroa...@gmail.com> wrote: > >> Sorry, I have not been able to solve the issue. I used speculation mode as >> workaround to this. >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p26068.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> - >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> >
Re: Spark task hangs infinitely when accessing S3 from AWS
it was a groupby and I thought it was causing the > issue, but even with just counting the lines of the file it hangs) > > Any suggestion is appreciated, > Erisa > > On Tue, Jan 26, 2016 at 2:19 PM, Gourav Sengupta < > gourav.sengu...@gmail.com> wrote: > >> Hi, >> >> Are you creating RDD's using textfile option? Can you please let me know >> the following: >> 1. Number of partitions >> 2. Number of files >> 3. Time taken to create the RDD's >> >> >> Regards, >> Gourav Sengupta >> >> >> On Tue, Jan 26, 2016 at 1:12 PM, Gourav Sengupta < >> gourav.sengu...@gmail.com> wrote: >> >>> Hi, >>> >>> are you creating RDD's out of the data? >>> >>> >>> >>> Regards, >>> Gourav >>> >>> On Tue, Jan 26, 2016 at 12:45 PM, aecc <alessandroa...@gmail.com> wrote: >>> >>>> Sorry, I have not been able to solve the issue. I used speculation mode >>>> as >>>> workaround to this. >>>> >>>> >>>> >>>> -- >>>> View this message in context: >>>> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p26068.html >>>> Sent from the Apache Spark User List mailing list archive at Nabble.com. >>>> >>>> - >>>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>>> For additional commands, e-mail: user-h...@spark.apache.org >>>> >>>> >>> >> >
Re: Spark task hangs infinitely when accessing S3 from AWS
Hi, are you creating RDD's out of the data? Regards, Gourav On Tue, Jan 26, 2016 at 12:45 PM, aecc <alessandroa...@gmail.com> wrote: > Sorry, I have not been able to solve the issue. I used speculation mode as > workaround to this. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p26068.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > - > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
Re: Spark task hangs infinitely when accessing S3 from AWS
Hi, I kind am in your situation now while trying to read from S3. Where you able to find a workaround in the end? Thnx, Erisa On Thu, Nov 12, 2015 at 12:00 PM, aecc <alessandroa...@gmail.com> wrote: > Some other stats: > > The number of files I have in the folder is 48. > The number of partitions used when reading data is 7315. > The maximum size of a file to read is 14G > The size of the folder is around: 270G > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p25367.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > - > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
Re: Spark task hangs infinitely when accessing S3 from AWS
Sorry, I have not been able to solve the issue. I used speculation mode as workaround to this. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p26068.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: Spark task hangs infinitely when accessing S3 from AWS
Any hints? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p25365.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: Spark task hangs infinitely when accessing S3 from AWS
Reading files directly from Amazon S3 can be frustrating especially if you're dealing with a large number of input files, could you please elaborate more on your use-case? Does the S3 bucket in question already contain a large number of files? The implementation of the * wildcard operator in S3 input paths requires an AWS S3 API call to list everything based on the common-prefix; so if your input is something like; s3://my-bucket*.json Then the prefix "///" will be passed to the API and should be fairly efficient. However if you're doing something more adventurous like; s3://my-bucket/*/*/*/*.json There is no common-prefix to give the API here, it will literally list every object in the bucket and then filter client-side to find anything that matches "*.json", these types of requests are prone to timeouts and other intermittent issues as well as taking a ridiculous amount of time before the job can start.
Re: Spark task hangs infinitely when accessing S3 from AWS
Some other stats: The number of files I have in the folder is 48. The number of partitions used when reading data is 7315. The maximum size of a file to read is 14G The size of the folder is around: 270G -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p25367.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: Spark task hangs infinitely when accessing S3 from AWS
Any help on this? this is really blocking me and I don't find any feasible solution yet. Thanks. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289p25327.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Spark task hangs infinitely when accessing S3 from AWS
Hi guys, when reading data from S3 from AWS using Spark 1.5.1 one of the tasks hangs when reading data in a way that cannot be reproduced. Some times it hangs, some times it doesn't. This is the thread dump from the hung task: "Executor task launch worker-3" daemon prio=10 tid=0x7f419c023000 nid=0x6548 runnable [0x7f425df2b000] java.lang.Thread.State: RUNNABLE at java.net.SocketInputStream.socketRead0(Native Method) at java.net.SocketInputStream.read(SocketInputStream.java:152) at java.net.SocketInputStream.read(SocketInputStream.java:122) at sun.security.ssl.InputRecord.readFully(InputRecord.java:442) at sun.security.ssl.InputRecord.readV3Record(InputRecord.java:554) at sun.security.ssl.InputRecord.read(InputRecord.java:509) at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:934) - locked <0x7f42c373b4d8> (a java.lang.Object) at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1332) - locked <0x7f42c373b610> (a java.lang.Object) at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1359) at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1343) at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:533) at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:401) at org.apache.http.impl.conn.DefaultClientConnectionOperator.openConnection(DefaultClientConnectionOperator.java:177) at org.apache.http.impl.conn.ManagedClientConnectionImpl.open(ManagedClientConnectionImpl.java:304) at org.apache.http.impl.client.DefaultRequestDirector.tryConnect(DefaultRequestDirector.java:610) at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:445) at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:863) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:57) at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:384) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:232) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3528) at com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata(AmazonS3Client.java:976) at com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata(AmazonS3Client.java:956) at org.apache.hadoop.fs.s3a.S3AFileSystem.getFileStatus(S3AFileSystem.java:892) at org.apache.hadoop.fs.s3a.S3AFileSystem.getFileStatus(S3AFileSystem.java:77) at org.apache.avro.mapred.FsInput.(FsInput.java:37) at org.apache.avro.mapreduce.AvroRecordReaderBase.createSeekableInput(AvroRecordReaderBase.java:171) at org.apache.avro.mapreduce.AvroRecordReaderBase.initialize(AvroRecordReaderBase.java:87) at org.apache.spark.rdd.NewHadoopRDD$$anon$1.(NewHadoopRDD.scala:153) at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:124) at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:65) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) This are my only manually passed settings (besides the s3 credentials): --conf spark.driver.maxResultSize=4g \ --conf spark.akka.frameSize=500 \ --conf spark.hadoop.fs.s3a.connection.maximum=500 \ I'm using aws-java-sdk-1.7.4.jar and hadoop-aws-2.7.1.jar to be able to read data from AWS. I have been long time struggling with this issue, the only workaround I have been able to find is to use Spark Speculation, however that's not a feasible solution for me anymore. Thanks -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-task-hangs-infinitely-when-accessing-S3-from-AWS-tp25289.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: Spark task hangs infinitely when accessing S3
Are you sitting behind a proxy or something? Can you look more into the executor logs? I have a strange feeling that you are blowing the memory (and possibly hitting GC etc). Thanks Best Regards On Thu, Sep 10, 2015 at 10:05 PM, Mario Pastorelli < mario.pastore...@teralytics.ch> wrote: > Dear community, > I am facing a problem accessing data on S3 via Spark. My current > configuration is the following: > > - Spark 1.4.1 > - Hadoop 2.7.1 > - hadoop-aws-2.7.1 > - mesos 0.22.1 > > I am accessing the data using the s3a protocol but it just hangs. The job > runs through the whole data set but > systematically there is one tasks never finishing. In the stderr I am > reading > quite some timeout errors but it looks like the application is recovering > from these. It is just infinitely running without proceeding to the next > stage. > > This is the stacktrace I am reading from the errors that the job is > recovering from: > > java.net.SocketTimeoutException: Read timed out > at java.net.SocketInputStream.socketRead0(Native Method) > at java.net.SocketInpu > tStream.read(SocketInputStream.java:152) > at java.net.SocketInputStream.read(SocketInputStream.java:122) > at sun.security.ssl.InputRecord.readFully(InputRecord.java:442) > at sun.security.ssl.InputRecord.readV3Record(InputRecord.java:554) > at sun.security.ssl.InputRecord.read(InputRecord.java:509) > at > sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:934) > at > sun.security.ssl.SSLSocketImpl.readDataRecord(SSLSocketImpl.java:891) > at sun.security.ssl.AppInputStream.read(AppInputStream.java:102) > at > org.apache.http.impl.io.AbstractSessionInputBuffer.read(AbstractSessionInputBuffer.java:198) > at > org.apache.http.impl.io.ContentLengthInputStream.read(ContentLengthInputStream.java:178) > at > org.apache.http.conn.EofSensorInputStream.read(EofSensorInputStream.java:137) > at java.io.FilterInputStream.read(FilterInputStream.java:133) > at java.io.FilterInputStream.read(FilterInputStream.java:133) > at java.io.FilterInputStream.read(FilterInputStream.java:133) > at > com.amazonaws.util.ContentLengthValidationInputStream.read(ContentLengthValidationInputStream.java:77) > at java.io.FilterInputStream.read(FilterInputStream.java:133) > at > org.apache.hadoop.fs.s3a.S3AInputStream.read(S3AInputStream.java:164) > at java.io.DataInputStream.read(DataInputStream.java:149) > at java.io.BufferedInputStream.fill(BufferedInputStream.java:235) > at java.io.BufferedInputStream.read1(BufferedInputStream.java:275) > at java.io.BufferedInputStream.read(BufferedInputStream.java:334) > at java.io.BufferedInputStream.fill(BufferedInputStream.java:235) > at java.io.BufferedInputStream.read(BufferedInputStream.java:254) > at > org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.readAByte(CBZip2InputStream.java:195) > at > org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.getAndMoveToFrontDecode(CBZip2InputStream.java:949) > at > org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.initBlock(CBZip2InputStream.java:506) > at > org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.changeStateToProcessABlock(CBZip2InputStream.java:335) > at > org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.read(CBZip2InputStream.java:425) > at > org.apache.hadoop.io.compress.BZip2Codec$BZip2CompressionInputStream.read(BZip2Codec.java:485) > at java.io.InputStream.read(InputStream.java:101) > at > org.apache.hadoop.mapreduce.lib.input.CompressedSplitLineReader.fillBuffer(CompressedSplitLineReader.java:130) > at > org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) > > My gut feeling is that the job is "failing at failing". It looks like some > tasks that should be failing, unfortunately are not. This seems to not > happen and, thus, the job just hangs forever. Moreover, debugging this > problem is really hard because there is no concrete error in the logs. > > Could you help me figuring out what is happening and trying to find a > solution to this issue? > Thank you! >
Spark task hangs infinitely when accessing S3
Dear community, I am facing a problem accessing data on S3 via Spark. My current configuration is the following: - Spark 1.4.1 - Hadoop 2.7.1 - hadoop-aws-2.7.1 - mesos 0.22.1 I am accessing the data using the s3a protocol but it just hangs. The job runs through the whole data set but systematically there is one tasks never finishing. In the stderr I am reading quite some timeout errors but it looks like the application is recovering from these. It is just infinitely running without proceeding to the next stage. This is the stacktrace I am reading from the errors that the job is recovering from: java.net.SocketTimeoutException: Read timed out at java.net.SocketInputStream.socketRead0(Native Method) at java.net.SocketInpu tStream.read(SocketInputStream.java:152) at java.net.SocketInputStream.read(SocketInputStream.java:122) at sun.security.ssl.InputRecord.readFully(InputRecord.java:442) at sun.security.ssl.InputRecord.readV3Record(InputRecord.java:554) at sun.security.ssl.InputRecord.read(InputRecord.java:509) at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:934) at sun.security.ssl.SSLSocketImpl.readDataRecord(SSLSocketImpl.java:891) at sun.security.ssl.AppInputStream.read(AppInputStream.java:102) at org.apache.http.impl.io.AbstractSessionInputBuffer.read(AbstractSessionInputBuffer.java:198) at org.apache.http.impl.io.ContentLengthInputStream.read(ContentLengthInputStream.java:178) at org.apache.http.conn.EofSensorInputStream.read(EofSensorInputStream.java:137) at java.io.FilterInputStream.read(FilterInputStream.java:133) at java.io.FilterInputStream.read(FilterInputStream.java:133) at java.io.FilterInputStream.read(FilterInputStream.java:133) at com.amazonaws.util.ContentLengthValidationInputStream.read(ContentLengthValidationInputStream.java:77) at java.io.FilterInputStream.read(FilterInputStream.java:133) at org.apache.hadoop.fs.s3a.S3AInputStream.read(S3AInputStream.java:164) at java.io.DataInputStream.read(DataInputStream.java:149) at java.io.BufferedInputStream.fill(BufferedInputStream.java:235) at java.io.BufferedInputStream.read1(BufferedInputStream.java:275) at java.io.BufferedInputStream.read(BufferedInputStream.java:334) at java.io.BufferedInputStream.fill(BufferedInputStream.java:235) at java.io.BufferedInputStream.read(BufferedInputStream.java:254) at org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.readAByte(CBZip2InputStream.java:195) at org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.getAndMoveToFrontDecode(CBZip2InputStream.java:949) at org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.initBlock(CBZip2InputStream.java:506) at org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.changeStateToProcessABlock(CBZip2InputStream.java:335) at org.apache.hadoop.io.compress.bzip2.CBZip2InputStream.read(CBZip2InputStream.java:425) at org.apache.hadoop.io.compress.BZip2Codec$BZip2CompressionInputStream.read(BZip2Codec.java:485) at java.io.InputStream.read(InputStream.java:101) at org.apache.hadoop.mapreduce.lib.input.CompressedSplitLineReader.fillBuffer(CompressedSplitLineReader.java:130) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) My gut feeling is that the job is "failing at failing". It looks like some tasks that should be failing, unfortunately are not. This seems to not happen and, thus, the job just hangs forever. Moreover, debugging this problem is really hard because there is no concrete error in the logs. Could you help me figuring out what is happening and trying to find a solution to this issue? Thank you!
