ytes"
Flink is getting started perfectly would any error if this akka.framesize
is set to 1 gb.
My queries are :
1. Is there any limit for setting the value of akka.framesize.
2. Are there any dependent parameters that we need to set if we increase
the size of akka.framesize.
Thanks in adva
Hi Team,
Just a follow up mail regarding the query.
Any leads would be appreciated.
Thanks and Regards
Mahima Agarwal
On Mon, Mar 21, 2022 at 2:56 PM Mahima Agarwal
wrote:
> Hi Team,
>
> I am getting a ClassCastException in my flink job's business logic when
> using the be
s per the solution mentioned in the document we could not package the
avro jar in the job, we can only add the avro jar to the Flink /lib folder.
Is there any way we can clear the cache in Avro or any other way we can
solve this?
Any leads would be appreciated.
Thanks and Regards
Mahima Agarwal
on for this warning?
Also, in flink version 1.13.2 we were able write timestamp to kafka
using setWriteTimestampToKafka(true) method of FlinkKafkaProducer class.
Similar to this how can we write timestamp to kafka using KafkaSink API in
flink 1.14.3?
Any leads would be appreciated.
Thanks and Regards
Mahima Agarwal
k logs? That
> would make it easier to investigate the problem.
>
> Best,
> Matthias
>
> On Sun, Nov 28, 2021 at 7:29 AM Mahima Agarwal
> wrote:
>
>> Thanks Matthias
>>
>> But we have observed the below 2 exceptions are coming in root-exceptions
s\abc\Documents\checkpoints\a737088e21206281db87f6492bcba074' on
file system 'file'.
Caused by: java.lang.IllegalStateException: Failed to rollback to
checkpoint/savepoint
file:/mnt/c/Users/abc/Documents/checkpoints/a737088e21206281db87f6492bcba074/chk-144.
Thanks and Regards
Mahima A
Hi Team,
Please find the query below regarding exceptions
API(/jobs/:jobid/exceptions)
In response of above rest api:
Users are getting 3 types of exceptions:
1. exceptionHistory
2. all-exceptions
3. root-exception
What is the purpose of the above 3 exceptions?
Any leads would be appreciat
Hi Team,
Please find the query below.
Use Case: Using parallelism.default property mentioned in flink-conf.yaml
file to enable system-level parallelism in flink configuration.
Issue: Even after setting the parallelism.default to 3, on config start the
configuration starts with parallelism as 1.