Hi Chesnay,
Thanks for your prompt response.
Sink : Kafka
After the first checkpointing of the reader job failed, that's where
duplication happened.
Can we use the external checkpointing by using below code snipped? as part
of reader source.
*environment.setStateBackend(new
FsStateBackend("s3://f
To fix the OutOfMemory error you will have to provide Flink with more
memory, use more task executors or possibly reduce the parallelism.
Did the job fail before the first checkpoint has occurred?
What sink are you using?
On 10/27/2020 12:45 PM, Satyaa Dixit wrote:
In continuation of the above
In continuation of the above email, I have tried below code also but it is
restarting the job from the beginning.
environment.enableCheckpointing(3L);
environment.disableOperatorChaining();
environment.getCheckpointConfig().setMinPauseBetweenCheckpoints(1000);
environment.getCheckpointConfig()
Hi Chesnay & Team,
I'm using already using "ContinuousFileMonitoringFunction" but still I'm
not able to achieve the below use case. For example once job started and it
process half of the data and in between job got failed because of below
exception. how to avoid this exception? could you please
The existing ContinuousFileMonitoringFunction and
ContinuousFileReaderOperator already take care of that.
Unless you aren't re-implementing them from scratch you shouldn't have
to do anything.
On 10/22/2020 1:47 PM, Satyaa Dixit wrote:
Hi Chesnay,
Thanks for your support.It helped a lot. I nee
Hi Chesnay,
Thanks for your support.It helped a lot. I need one more help on how to do
checkpointing as part of the s3 reader source in case if some failure
happens due to OutOfMemoryError exception or it could be any other failure,
and want to recover the data from last reader splitted offset duri
hmm...I don't see an easy way.
You may have to replicated StreamExecutionEnvironment#createFileInput and
create a custom ContinuousFileMonitoringFunction that ignores missing
files in it's run() method.
Alternatively, use some library to check the existence of the S3
directories before creatin
Hi Chesnay/Team,
Thanks, we got the fix for our problem but got stuck with the below issue,
request your support.
How to catch FileNotFoundException during runtime,if any directory is
missing in s3 as part of the below source code to avoid job failure.
s3PathList.stream().map(directory ->
S3Se
Hi Chesnay/Team
Thank you so much.I have tried with the solution but it is not working as
expected showing compilation issues and tried all the ways .Please find
below code snippet :
s3PathList.stream()
.map(directory -> S3Service.customCreateInputStream(environment, directory,
readerParallelism)
Thanks, I'll check it out.
On Mon, Oct 12, 2020 at 1:29 PM Chesnay Schepler wrote:
> 1) There's no mechanism in the API to restrict the number of number of
> readers across several sources. I can't quite think of a way to achieve
> this; maybe Kostas has an idea.
>
> 2) You're mixing up the Ja
1) There's no mechanism in the API to restrict the number of number of
readers across several sources. I can't quite think of a way to achieve
this; maybe Kostas has an idea.
2) You're mixing up the Java Streams and Finks DataStream API.
Try this:
s3PathList.stream()
.map(...)
.reduce(...)
Hi Team,
Could you please help me here. I’m sorry for asking on such short notice
but my work has stopped due to this.
Regards,
Satya
On Fri, 9 Oct 2020 at 8:53 PM, Satyaa Dixit wrote:
> Hi Shesnay/Team,
>
> Thank you so much for the reply.In the continuation of the previous email,
> below i
Hi Shesnay/Team,
Thank you so much for the reply.In the continuation of the previous email,
below is the block diagram where I am reading the file from s3 and pushing
it to kafka.Now with the current setup, I have total 4 directory based on
the readfile method from flink environment ,we are cr
Hi @ches...@apache.org ,
Thanks for your support, it was really helpful.
Do you know the list of directories when you submit the job? [Yes we do
have]
The impletemation is progress and will get back to you if any further
challenges we may face.
Appreciate your support in this regard.
Regards,
Sa
Thank you @Chesnay let me try this change .
On Thu, Oct 1, 2020 at 1:21 PM Chesnay Schepler wrote:
> You could also try using streams to make it a little more concise:
>
> directories.stream()
>.map(directory -> createInputStream(environment, directory))
>.reduce(DataStream::union)
>
You could also try using streams to make it a little more concise:
directories.stream()
.map(directory ->createInputStream(environment, directory))
.reduce(DataStream::union)
.map(joinedStream -> joinedStream.addSink(kafka));
On 10/1/2020 9:48 AM, Chesnay Schepler wrote:
Do you know t
Do you know the list of directories when you submit the job?
If so, then you can iterate over them, create a source for each
directory, union them, and apply the sink to the union.
private static DataStreamcreateInputStream(StreamExecutionEnvironment
environment, String directory) {
TextIn
Hi Guys,
Got stuck with it please help me here
Regards,
Satya
On Wed, 30 Sep 2020 at 11:09 AM, Satyaa Dixit wrote:
> Hi Guys,
>
> Sorry to bother you again, but someone could help me here? Any help in
> this regard will be much appreciated.
>
> Regards,
> Satya
>
> On Tue, Sep 29, 2020 at 2:57
Hi Guys,
Sorry to bother you again, but someone could help me here? Any help in this
regard will be much appreciated.
Regards,
Satya
On Tue, Sep 29, 2020 at 2:57 PM Satyaa Dixit wrote:
> Hi Guys,
> I need one help, any leads will be highly appreciated.I have written a
> flink streaming job to
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