Hi!
Sorry, I won't be able to implement this soon. I just shared my ideas on this.
Greets. Rico.
> Am 25.08.2015 um 17:52 schrieb Stephan Ewen :
>
> Hi Rico!
>
> Can you give us an update on your status here? We actually need something
> like this as well (and pretty urgent), so we would
Hi Gwenhaël,
are you using the one-yarn-cluster-per-job mode of Flink? I.e., you are
starting your Flink job with (from the doc):
flink run -m yarn-cluster -yn 4 -yjm 1024 -ytm 4096
./examples/flink-java-examples-0.10-SNAPSHOT-WordCount.jar
If you are, then this is almost possible on the current
Hi Arnaud,
did you try:
> Env.setSource(mySource).setParrellelism(1).map(mymapper).setParallelism(10)
If this does not work, it might be that Flink chains the mapper to the
source which implies to use the same parallelism (and the producer
dictates this dop value).
Using a rebalance() in betwee
Hi,
I have a streaming source that extends RichParallelSourceFunction, but for some
reason I don’t want parallelism at the source level, so I use :
Env.setSource(mySource).setParrellelism(1).map(mymapper)
I do want parallelism at the mapper level, because it’s a long task, and I
would like the
Hi Rico!
Can you give us an update on your status here? We actually need something
like this as well (and pretty urgent), so we would jump in
and implement this, unless you have something already.
Stephan
On Thu, Aug 20, 2015 at 12:13 PM, Stephan Ewen wrote:
> BTW: This is becoming a dev disc
Hi everyone,
Just a shoutout that we have posted the program of Flink Forward 2015 here:
http://flink-forward.org/?post_type=day
You can expect few changes here and there, but the majority of the talks is
in.
Thanks again to the speakers and the reviewers!
If you have not registered yet, now is
Ok, I'll try that. Thanks a lot!
On Tue, Aug 25, 2015 at 4:19 PM, Stephan Ewen wrote:
> You can do something very similar like broadcast sets like this:
>
> Use a Co-Map function and connect your main data set regularly ("forward"
> partitioning) to one input and your broadcast set via "broadcas
You can do something very similar like broadcast sets like this:
Use a Co-Map function and connect your main data set regularly ("forward"
partitioning) to one input and your broadcast set via "broadcast" to the
other input. You can then retrieve the data in the two map functions
separately.
This
Hi,
We're developing the first of (we hope) many flink streaming app.
We'd like to package the logging configuration (log4j) together with the jar.
Meaning, different application will probably have different logging
configuration (ex: to different logstash ports) ...
Is there a way to "overrid
Hi Tamara,
I think this is not officially supported by Flink yet. However, I think
that Gyula had once an example where he did something comparable. Maybe he
can chime in here.
Cheers,
Till
On Tue, Aug 25, 2015 at 11:15 AM, Tamara Mendt wrote:
> Hello,
>
> I have been trying to use the functio
Hello,
I have been trying to use the function withBroadcastSet on a
SingleOutputStreamOperator (map) the same way I would on a MapOperator for
a DataSet. From what I see, this cannot be done. I wonder if there is some
way to broadcast a DataSet to the tasks that are performing transformations
on a
11 matches
Mail list logo