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No worries, thanks for the update! It's good to hear that it worked for you.
Best regards, Piotrek Hi,
Sorry for the late reply. It took me quite a while to change the JDK version to reproduce the issue. I confirmed that if I upgrade to a newer JDK version (I tried with JDK 1.8.0_265 ) the issue doesn’t happen.
Thank you for helping -Binh
On Fri, Oct 9, 2020 at 11:36 AM Piotr Nowojski < [hidden email]> wrote: Hi Binh,
Could you try upgrading Flink's Java runtime? It was previously reported that upgrading to jdk1.8.0_251 was solving the problem.
Piotrek
Hi,
Thank you for helping me! The code is compiled on
java version "1.8.0_161"
Java(TM) SE Runtime Environment (build 1.8.0_161-b12)
Java HotSpot(TM) 64-Bit Server VM (build 25.161-b12, mixed mode)
But I just checked our Hadoop and its Java version is
java version "1.8.0_77"
Java(TM) SE Runtime Environment (build 1.8.0_77-b03)
Java HotSpot(TM) 64-Bit Server VM (build 25.77-b03, mixed mode)
Thanks -Binh
On Fri, Oct 9, 2020 at 10:23 AM Piotr Nowojski < [hidden email]> wrote: Hi,
One more thing. It looks like it's not a Flink issue, but some JDK bug. Others reported that upgrading JDK version (for example to jdk1.8.0_251) seemed to be solving this problem. What JDK version are you using?
Piotrek
Hi,
Thanks for reporting the problem. I think this is a known issue [1] on which we are working to fix.
Piotrek
Hi,
I have a streaming job that is written in Apache Beam and uses Flink as its runner. The job is working as expected for about 15 hours and then it started to have checkpointing error. The error message looks like this
java.lang.Exception: Could not perform checkpoint 910 for operator Source: <source-name> (8/60).
at org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpoint(StreamTask.java:785)
at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$triggerCheckpointAsync$3(StreamTask.java:760)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$SynchronizedStreamTaskActionExecutor.run(StreamTaskActionExecutor.java:87)
at org.apache.flink.streaming.runtime.tasks.mailbox.Mail.run(Mail.java:78)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMail(MailboxProcessor.java:261)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:186)
at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:485)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:469)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:708)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:533)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.NullPointerException
at org.apache.flink.streaming.runtime.tasks.StreamTask$CheckpointingOperation.executeCheckpointing(StreamTask.java:1394)
at org.apache.flink.streaming.runtime.tasks.StreamTask.checkpointState(StreamTask.java:974)
at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$performCheckpoint$5(StreamTask.java:870)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$SynchronizedStreamTaskActionExecutor.runThrowing(StreamTaskActionExecutor.java:94)
at org.apache.flink.streaming.runtime.tasks.StreamTask.performCheckpoint(StreamTask.java:843)
at org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpoint(StreamTask.java:776)
... 11 more
When this happened, I have to stop the job and then start it again, and then 15 hours later the issue happens again.
Here are some additional information
- Flink version is 1.10.1
- Job reads data from Kafka, transform, and then writes to Kafka
- There are 6 tasks with the parallelism of 60 each (each task reads from 1 Kafka topic)
- The job is deployed to run on YARN with 60 task managers and each task manager has 1 slot
- The State backend is
filesystem and HDFS is the storage (Doesn’t seem to related to the type of state backend since the issue also happened when I use memory as the state backend)
- The checkpointing interval is 60 seconds (The longest duration of the normal checkpoint as shown in Flink UI is 14 seconds)
- The minimum pause between checkpoints is 30 seconds
- Hadoop cluster is Kerberized but Kafka is not. Keytab and principal are set in the Flink configuration file
Can someone please help?
Thanks -Binh
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