Hi Richer, Actually for the testing , now I have reduced the number of timers to few thousands (5-6K) but my job still gets stuck randomly. And its not reproducible each time. next time when I restart the job it again starts working for few few hours/days then gets stuck again. I took thread dump when my job was hanged with almost 100% cpu . The most cpu taking thread has following stack:
It look like sometimes its not able to read data from RocksDB. *"process (3/6)" #782 prio=5 os_prio=0 tid=0x00007f68b81ddcf0 nid=0xee73 runnable [0x00007f688d83a000]* * java.lang.Thread.State: RUNNABLE* * at org.rocksdb.RocksDB.get(Native Method)* * at org.rocksdb.RocksDB.get(RocksDB.java:810)* * at org.apache.flink.contrib.streaming.state.RocksDBMapState.contains(RocksDBMapState.java:137)* * at org.apache.flink.runtime.state.UserFacingMapState.contains(UserFacingMapState.java:72)* * at nl.ing.gmtt.observer.analyser.job.rtpe.process.RtpeProcessFunction.isEventExist(RtpeProcessFunction.java:150)* * at nl.ing.gmtt.observer.analyser.job.rtpe.process.RtpeProcessFunction.onTimer(RtpeProcessFunction.java:93)* * at org.apache.flink.streaming.api.operators.KeyedProcessOperator.onEventTime(KeyedProcessOperator.java:75)* * at org.apache.flink.streaming.api.operators.HeapInternalTimerService.advanceWatermark(HeapInternalTimerService.java:288)* * at org.apache.flink.streaming.api.operators.InternalTimeServiceManager.advanceWatermark(InternalTimeServiceManager.java:108)* * at org.apache.flink.streaming.api.operators.AbstractStreamOperator.processWatermark(AbstractStreamOperator.java:885)* * at org.apache.flink.streaming.runtime.io.StreamInputProcessor$ForwardingValveOutputHandler.handleWatermark(StreamInputProcessor.java:288)* * - locked <0x0000000302b61458> (a java.lang.Object)* * at org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.findAndOutputNewMinWatermarkAcrossAlignedChannels(StatusWatermarkValve.java:189)* * at org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.inputWatermark(StatusWatermarkValve.java:111)* * at org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:189)* * at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69)* * at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:264)* * at org.apache.flink.runtime.taskmanager.Task.run(Task.java:718)* * at java.lang.Thread.run(Thread.java:748)* * Locked ownable synchronizers:* * - None* *"process (2/6)" #781 prio=5 os_prio=0 tid=0x00007f68b81dcef0 nid=0xee72 runnable [0x00007f688fe54000]* * java.lang.Thread.State: RUNNABLE* * at org.rocksdb.RocksDB.get(Native Method)* * at org.rocksdb.RocksDB.get(RocksDB.java:810)* * at org.apache.flink.contrib.streaming.state.RocksDBMapState.get(RocksDBMapState.java:102)* * at org.apache.flink.runtime.state.UserFacingMapState.get(UserFacingMapState.java:47)* * at nl.ing.gmtt.observer.analyser.job.rtpe.process.RtpeProcessFunction.onTimer(RtpeProcessFunction.java:99)* * at org.apache.flink.streaming.api.operators.KeyedProcessOperator.onEventTime(KeyedProcessOperator.java:75)* * at org.apache.flink.streaming.api.operators.HeapInternalTimerService.advanceWatermark(HeapInternalTimerService.java:288)* * at org.apache.flink.streaming.api.operators.InternalTimeServiceManager.advanceWatermark(InternalTimeServiceManager.java:108)* * at org.apache.flink.streaming.api.operators.AbstractStreamOperator.processWatermark(AbstractStreamOperator.java:885)* * at org.apache.flink.streaming.runtime.io.StreamInputProcessor$ForwardingValveOutputHandler.handleWatermark(StreamInputProcessor.java:288)* * - locked <0x0000000302b404a0> (a java.lang.Object)* * at org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.findAndOutputNewMinWatermarkAcrossAlignedChannels(StatusWatermarkValve.java:189)* * at org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.inputWatermark(StatusWatermarkValve.java:111)* * at org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:189)* * at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69)* * at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:264)* * at org.apache.flink.runtime.taskmanager.Task.run(Task.java:718)* * at java.lang.Thread.run(Thread.java:748)* * Locked ownable synchronizers:* Regards, Shishal On Thu, Jul 12, 2018 at 4:11 PM Stefan Richter <s.rich...@data-artisans.com> wrote: > Hi, > > Did you check the metrics for the garbage collector? Stuck with high CPU > consumption and lots of timers sound like there could be a possible > problem, because timer are currently on-heap objects, but we are working on > RocksDB-based timers right now. > > Best, > Stefan > > Am 12.07.2018 um 14:54 schrieb shishal singh <shisha...@gmail.com>: > > Thanks Stefan/Stephan/Nico, > > Indeed there are 2 problem. For the 2nd problem ,I am almost certain that > explanation given by Stephan is the true as in my case as there number of > timers are in millions. (Each for different key so I guess coalescing is > not an option for me). > > If I simplify my problem, each day I receive millions of events (10-20M) > and I have to schedule a timer for next day 8 AM to check if matching > events are there , if not I have to send it to Elastic sink as Alert. I > suspected that having so many timers fires at same time could cause my jobs > to hang, so I am now scheduling times randomly between (8AM-to 10AM). But > still my job gets hang after some time. One more thing which I noticed > that when my job gets hang CPU utilization shoot to almost 100%. > I tried to isolate problem by removing ES sink and just did stream.print() > and yet problem persist. > > In my current setup, I am running a standalone cluster of 3 machine (All > three server has Task manger, Job manager and Hadoop on it). So I am not > using EBS for rocksDB. > > Also I verified that when jobs gets hang even timers are not being called > as I have debug statement in Timers and only logs I see at that time are > following : > > *2018-07-12 14:35:30,423 DEBUG > org.apache.flink.shaded.zookeeper.org.apache.zookeeper.ClientCnxn - Got > ping response for sessionid: 0x2648355f7c6010f after 11ms* > *2018-07-12 14:35:31,957 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:35:36,946 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:35:41,963 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:35:43,775 DEBUG > org.apache.flink.shaded.zookeeper.org.apache.zookeeper.ClientCnxn - Got > ping response for sessionid: 0x2648355f7c6010f after 10ms* > *2018-07-12 14:35:46,946 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:35:51,954 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:35:56,967 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:35:57,127 DEBUG > org.apache.flink.shaded.zookeeper.org.apache.zookeeper.ClientCnxn - Got > ping response for sessionid: 0x2648355f7c6010f after 8ms* > *2018-07-12 14:36:01,944 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:36:06,955 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > *2018-07-12 14:36:08,287 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Receiver > TriggerCheckpoint 155@1531398968248 for d9af2f1da87b7268cc03e152a6179eae.* > *2018-07-12 14:36:08,287 DEBUG org.apache.flink.runtime.taskmanager.Task > - Invoking async call Checkpoint Trigger for Source: > Event Source -> filter (1/1) (d9af2f1da87b7268cc03e152a6179eae). on task > Source: Event Source -> filter (1/1)* > *2018-07-12 14:36:10,476 DEBUG > org.apache.flink.shaded.zookeeper.org.apache.zookeeper.ClientCnxn - Got > ping response for sessionid: 0x2648355f7c6010f after 10ms* > *2018-07-12 14:36:11,957 DEBUG > org.apache.flink.runtime.taskmanager.TaskManager - Sending > heartbeat to JobManager* > > As I expected checkpoint also start to fail during this time. > > My Job Graph is pretty much simple : Source<Kafka>-->filter--<process with > times>--->Sink > > > Regards, > Shishal > > > On Thu, Jul 12, 2018 at 9:54 AM Stefan Richter < > s.rich...@data-artisans.com> wrote: > >> Hi, >> >> adding to what has already been said, I think that here can be two >> orthogonal problems here: i) why is your job slowing down/getting stuck? >> and ii) why is cancellation blocked? As for ii) I think Stephan already >> gave to right reason that shutdown could take longer and that is what gets >> the TM killed. >> >> A more interesting question could still be i), why is your job slowing >> down until shutdown in the first place. I have two questions here.First, >> are you running on RocksDB on EBS volumes, then please have a look at this >> thread [1] because there can be some performance pitfalls. Second, how many >> timers are you expecting, and how are they firing? For example, if you have >> a huge amount of timers and the watermark makes a bug jump, there is a >> possibility that it takes a while until the job makes progress because it >> has to handle so many timer callbacks first. Metrics from even throughput >> and from your I/O subsystem could be helpful to see if something is >> stuck/underperforming or if there is just a lot of timer processing going >> on. >> >> Best, >> Stefan >> >> [1] >> https://mail-archives.apache.org/mod_mbox/flink-user/201803.mbox/%3ccakhqddzamdqewiz5b1qndqv4+-mtvefhbhewrpxftlu7dv9...@mail.gmail.com%3E >> >> Am 11.07.2018 um 19:31 schrieb Nico Kruber <n...@data-artisans.com>: >> >> If this is about too many timers and your application allows it, you may >> also try to reduce the timer resolution and thus frequency by coalescing >> them [1]. >> >> >> Nico >> >> [1] >> >> https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/stream/operators/process_function.html#timer-coalescing >> >> On 11/07/18 18:27, Stephan Ewen wrote: >> >> Hi shishal! >> >> I think there is an issue with cancellation when many timers fire at the >> same time. These timers have to finish before shutdown happens, this >> seems to take a while in your case. >> >> Did the TM process actually kill itself in the end (and got restarted)? >> >> >> >> On Wed, Jul 11, 2018 at 9:29 AM, shishal <shisha...@gmail.com >> <mailto:shisha...@gmail.com>> wrote: >> >> Hi, >> >> I am using flink 1.4.2 with rocksdb as backend. I am using process >> function >> with timer on EventTime. For checkpointing I am using hdfs. >> >> I am trying load testing so Iam reading kafka from beginning (aprox >> 7 days >> data with 50M events). >> >> My job gets stuck after aprox 20 min with no error. There after >> watermark do >> not progress and all checkpoint fails. >> >> Also When I try to cancel my job (using web UI) , it takes several >> minutes >> to finally gets cancelled. Also it makes Task manager down as well. >> >> There is no logs while my job hanged but while cancelling I get >> following >> error. >> >> / >> >> 2018-07-11 09:10:39,385 ERROR >> org.apache.flink.runtime.taskmanager.TaskManager - >> ============================================================== >> ====================== FATAL ======================= >> ============================================================== >> >> A fatal error occurred, forcing the TaskManager to shut down: Task >> 'process >> (3/6)' did not react to cancelling signal in the last 30 seconds, but >> is >> stuck in method: >> org.rocksdb.RocksDB.get(Native Method) >> org.rocksdb.RocksDB.get(RocksDB.java:810) >> >> >> org.apache.flink.contrib.streaming.state.RocksDBMapState.get(RocksDBMapState.java:102) >> >> >> org.apache.flink.runtime.state.UserFacingMapState.get(UserFacingMapState.java:47) >> >> >> nl.ing.gmtt.observer.analyser.job.rtpe.process.RtpeProcessFunction.onTimer(RtpeProcessFunction.java:94) >> >> >> org.apache.flink.streaming.api.operators.KeyedProcessOperator.onEventTime(KeyedProcessOperator.java:75) >> >> >> org.apache.flink.streaming.api.operators.HeapInternalTimerService.advanceWatermark(HeapInternalTimerService.java:288) >> >> >> org.apache.flink.streaming.api.operators.InternalTimeServiceManager.advanceWatermark(InternalTimeServiceManager.java:108) >> >> >> org.apache.flink.streaming.api.operators.AbstractStreamOperator.processWatermark(AbstractStreamOperator.java:885) >> org.apache.flink.streaming.runtime.io >> <http://runtime.io >> >.StreamInputProcessor$ForwardingValveOutputHandler.handleWatermark(StreamInputProcessor.java:288) >> >> >> org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.findAndOutputNewMinWatermarkAcrossAlignedChannels(StatusWatermarkValve.java:189) >> >> >> org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.inputWatermark(StatusWatermarkValve.java:111) >> org.apache.flink.streaming.runtime.io >> <http://runtime.io >> >.StreamInputProcessor.processInput(StreamInputProcessor.java:189) >> >> >> org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69) >> >> >> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:264) >> org.apache.flink.runtime.taskmanager.Task.run(Task.java:718) >> java.lang.Thread.run(Thread.java:748) >> >> 2018-07-11 09:10:39,390 DEBUG >> >> >> org.apache.flink.runtime.akka.StoppingSupervisorWithoutLoggingActorKilledExceptionStrategy >> >> - Actor was killed. Stopping it now. >> akka.actor.ActorKilledException: Kill >> 2018-07-11 09:10:39,407 INFO >> org.apache.flink.runtime.taskmanager.TaskManager - >> Stopping >> TaskManager akka://flink/user/taskmanager#-1231617791. >> 2018-07-11 09:10:39,408 INFO >> org.apache.flink.runtime.taskmanager.TaskManager - >> Cancelling >> all computations and discarding all cached data. >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Attempting to fail task externally process (3/6) >> (432fd129f3eea363334521f8c8de5198). >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Task process (3/6) is already in state CANCELING >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Attempting to fail task externally process (4/6) >> (7c6b96c9f32b067bdf8fa7c283eca2e0). >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Task process (4/6) is already in state CANCELING >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Attempting to fail task externally process (2/6) >> (a4f731797a7ea210fd0b512b0263bcd9). >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Task process (2/6) is already in state CANCELING >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Attempting to fail task externally process (1/6) >> (cd8a113779a4c00a051d78ad63bc7963). >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Task process (1/6) is already in state CANCELING >> 2018-07-11 09:10:39,409 INFO >> org.apache.flink.runtime.taskmanager.TaskManager - >> Disassociating from JobManager >> 2018-07-11 09:10:39,412 INFO >> org.apache.flink.runtime.blob.PermanentBlobCache - >> Shutting >> down BLOB cache >> 2018-07-11 09:10:39,431 INFO >> org.apache.flink.runtime.blob.TransientBlobCache - >> Shutting >> down BLOB cache >> 2018-07-11 09:10:39,444 INFO >> >> org.apache.flink.runtime.leaderretrieval.ZooKeeperLeaderRetrievalService >> - >> Stopping ZooKeeperLeaderRetrievalService. >> 2018-07-11 09:10:39,444 DEBUG >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io>.disk.iomanager.IOManager >> - Shutting >> down I/O manager. >> 2018-07-11 09:10:39,451 INFO >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io>.disk.iomanager.IOManager >> - I/O manager >> removed spill file directory >> /tmp/flink-io-989505e5-ac33-4d56-add5-04b2ad3067b4 >> 2018-07-11 09:10:39,461 INFO >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io>.network.NetworkEnvironment >> - Shutting >> down the network environment and its components. >> 2018-07-11 09:10:39,461 DEBUG >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io>.network.NetworkEnvironment >> - Shutting >> down network connection manager >> 2018-07-11 09:10:39,462 INFO >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io>.network.netty.NettyClient >> - Successful >> shutdown (took 1 ms). >> 2018-07-11 09:10:39,472 INFO >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io>.network.netty.NettyServer >> - Successful >> shutdown (took 10 ms). >> 2018-07-11 09:10:39,472 DEBUG >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io>.network.NetworkEnvironment >> - Shutting >> down intermediate result partition manager >> 2018-07-11 09:10:39,473 DEBUG >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io >> >.network.partition.ResultPartitionManager >> - >> Releasing 0 partitions because of shutdown. >> 2018-07-11 09:10:39,474 DEBUG >> org.apache.flink.runtime.io >> <http://org.apache.flink.runtime.io >> >.network.partition.ResultPartitionManager >> - >> Successful shutdown. >> 2018-07-11 09:10:39,498 INFO >> org.apache.flink.runtime.taskmanager.TaskManager - Task >> manager >> akka://flink/user/taskmanager is completely shut down. >> 2018-07-11 09:10:39,504 ERROR >> org.apache.flink.runtime.taskmanager.TaskManager - Actor >> akka://flink/user/taskmanager#-1231617791 terminated, stopping >> process... >> 2018-07-11 09:10:39,563 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Notifying TaskManager about fatal error. Task 'process (2/6)' did not >> react to cancelling signal in the last 30 seconds, but is stuck in >> method: >> org.rocksdb.RocksDB.get(Native Method) >> org.rocksdb.RocksDB.get(RocksDB.java:810) >> >> >> org.apache.flink.contrib.streaming.state.RocksDBMapState.get(RocksDBMapState.java:102) >> >> >> org.apache.flink.runtime.state.UserFacingMapState.get(UserFacingMapState.java:47) >> >> >> nl.ing.gmtt.observer.analyser.job.rtpe.process.RtpeProcessFunction.onTimer(RtpeProcessFunction.java:94) >> >> >> org.apache.flink.streaming.api.operators.KeyedProcessOperator.onEventTime(KeyedProcessOperator.java:75) >> >> >> org.apache.flink.streaming.api.operators.HeapInternalTimerService.advanceWatermark(HeapInternalTimerService.java:288) >> >> >> org.apache.flink.streaming.api.operators.InternalTimeServiceManager.advanceWatermark(InternalTimeServiceManager.java:108) >> >> >> org.apache.flink.streaming.api.operators.AbstractStreamOperator.processWatermark(AbstractStreamOperator.java:885) >> org.apache.flink.streaming.runtime.io >> <http://runtime.io >> >.StreamInputProcessor$ForwardingValveOutputHandler.handleWatermark(StreamInputProcessor.java:288) >> >> >> org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.findAndOutputNewMinWatermarkAcrossAlignedChannels(StatusWatermarkValve.java:189) >> >> >> org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.inputWatermark(StatusWatermarkValve.java:111) >> org.apache.flink.streaming.runtime.io >> <http://runtime.io >> >.StreamInputProcessor.processInput(StreamInputProcessor.java:189) >> >> >> org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69) >> >> >> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:264) >> org.apache.flink.runtime.taskmanager.Task.run(Task.java:718) >> java.lang.Thread.run(Thread.java:748) >> . >> 2018-07-11 09:10:39,575 INFO >> org.apache.flink.runtime.taskmanager.Task >> - Notifying TaskManager about fatal error. Task 'process (1/6)' did not >> react to cancelling signal in the last 30 seconds, but is stuck in >> method: >> >> >> >> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) >> java.lang.reflect.Constructor.newInstance(Constructor.java:423) >> java.lang.Class.newInstance(Class.java:442) >> >> >> org.apache.flink.api.java.typeutils.runtime.PojoSerializer.createInstance(PojoSerializer.java:196) >> >> >> org.apache.flink.api.java.typeutils.runtime.PojoSerializer.deserialize(PojoSerializer.java:399) >> >> >> org.apache.flink.contrib.streaming.state.RocksDBMapState.deserializeUserValue(RocksDBMapState.java:304) >> >> >> org.apache.flink.contrib.streaming.state.RocksDBMapState.get(RocksDBMapState.java:104) >> >> >> org.apache.flink.runtime.state.UserFacingMapState.get(UserFacingMapState.java:47) >> >> >> nl.ing.gmtt.observer.analyser.job.rtpe.process.RtpeProcessFunction.onTimer(RtpeProcessFunction.java:94) >> >> >> org.apache.flink.streaming.api.operators.KeyedProcessOperator.onEventTime(KeyedProcessOperator.java:75) >> >> >> org.apache.flink.streaming.api.operators.HeapInternalTimerService.advanceWatermark(HeapInternalTimerService.java:288) >> >> >> org.apache.flink.streaming.api.operators.InternalTimeServiceManager.advanceWatermark(InternalTimeServiceManager.java:108) >> >> >> org.apache.flink.streaming.api.operators.AbstractStreamOperator.processWatermark(AbstractStreamOperator.java:885) >> org.apache.flink.streaming.runtime.io >> <http://runtime.io >> >.StreamInputProcessor$ForwardingValveOutputHandler.handleWatermark(StreamInputProcessor.java:288) >> >> >> org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.findAndOutputNewMinWatermarkAcrossAlignedChannels(StatusWatermarkValve.java:189) >> >> >> org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.inputWatermark(StatusWatermarkValve.java:111) >> org.apache.flink.streaming.runtime.io >> <http://runtime.io >> >.StreamInputProcessor.processInput(StreamInputProcessor.java:189) >> >> >> org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69) >> >> >> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:264) >> org.apache.flink.runtime.taskmanager.Task.run(Task.java:718) >> java.lang.Thread.run(Thread.java:748) >> / >> >> >> >> -- >> Sent from: >> http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/ >> <http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/> >> >> >> >> -- >> Nico Kruber | Software Engineer >> data Artisans >> >> Follow us @dataArtisans >> -- >> Join Flink Forward - The Apache Flink Conference >> Stream Processing | Event Driven | Real Time >> -- >> Data Artisans GmbH | Stresemannstr. 121A,10963 Berlin, Germany >> data Artisans, Inc. | 1161 Mission Street, San Francisco, CA-94103, USA >> -- >> Data Artisans GmbH >> Registered at Amtsgericht Charlottenburg: HRB 158244 B >> Managing Directors: Dr. Kostas Tzoumas, Dr. Stephan Ewen >> >> >> >
