Are you sure you have the parallelism set to 448? You can see the
parallelism of operators in the web UI.
On Fri, Sep 23, 2016 at 12:15 AM, amir bahmanyari
wrote:
> Hi Again & sorry to take your time. But am puzzled by what I cannot
> explain why.
> The parallelism is set
Hi Fabian,
Not sure if this answers your question, here is the stack I got when
debugging the combine and datasource operators when the job got stuck:
"DataSource (at main(BatchTest.java:28)
(org.apache.flink.api.java.io.TupleCsvInputFormat)) (1/8)"
at java.lang.Object.wait(Object.java)
at
Hi Aljoscha & Fabian,
I have a stream application that has 2 stream source as below.
KeyedStream *ks1* = ds1.keyBy("*") ;
KeyedStream, String> *ks2* = ds2.flatMap(split T
into k-v pairs).keyBy(0);
ks1.connect(ks2).flatMap(X);
//X is a
Hi Yassine, can you share a stacktrace of the job when it got stuck?
Thanks, Fabian
2016-09-22 14:03 GMT+02:00 Yassine MARZOUGUI :
> The input splits are correctly assgined. I noticed that whenever the job
> is stuck, that is because the task *Combine (GroupReduce at
Hi,
in our project we're dealing with a stream of billing events. Each has
customerId and charge amount
We want to have a process that will trigger event (alarm) when sum of
charges for customer during last 4 hours exceeds certain threshold, say
- 10.
The triggered event should contain data
Can I get any update please ?
Regards,
Swapnil