Hi Kostas,
I think it would be good to open two JIRAs to track these issues:
1) to document the shortcomings of the current solution
2) propose a solution based on your idea of group-ids.
Would you like to do that?
Thanks,
Fabian
2016-12-01 10:48 GMT+01:00 Fabian Hueske :
> Hi Kostas,
>
> Tha
Jark Wu created FLINK-5304:
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Summary: Change method name from crossApply to join in Table API
Key: FLINK-5304
URL: https://issues.apache.org/jira/browse/FLINK-5304
Project: Flink
Issue Type: Improve
Arnaud Linz created FLINK-5305:
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Summary: Documentation of collect() should mention parameter
akka.framesize
Key: FLINK-5305
URL: https://issues.apache.org/jira/browse/FLINK-5305
Project: Flink
I would be +1 to merge the FLIP-6 branch to the master branch after the 1.2
branch is forked off, if we manage to do that in a timely fashion.
Would actually be safer that way...
On Tue, Dec 6, 2016 at 8:49 PM, Robert Metzger wrote:
> I've reactivated the 1.2 release thread and the actual list
I agree with Stephan. +1 for merging it after forking 1.2 off and trying to
do this in the near future.
Cheers,
Till
On Fri, Dec 9, 2016 at 11:50 AM, Stephan Ewen wrote:
> I would be +1 to merge the FLIP-6 branch to the master branch after the 1.2
> branch is forked off, if we manage to do that
Robert Metzger created FLINK-5306:
-
Summary: Display checkpointing configuration details in web UI
"Configuration" tab
Key: FLINK-5306
URL: https://issues.apache.org/jira/browse/FLINK-5306
Project: Fl
Chesnay Schepler created FLINK-5307:
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Summary: Log configuration for every reporter
Key: FLINK-5307
URL: https://issues.apache.org/jira/browse/FLINK-5307
Project: Flink
Issue Type: Bug
Hi everyone,
A quick heads-up that we'll be closing the Flink user survey to new
responses this coming Monday 12 Dec around 9am EST.
If you'd still like to respond before Monday, you can do so here:
http://www.surveygizmo.com/s3/3166399/181bdb611f22.
We've seen more than 100 responses so far. Th
Nico Kruber created FLINK-5308:
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Summary: download links to previous releases are incomplete
Key: FLINK-5308
URL: https://issues.apache.org/jira/browse/FLINK-5308
Project: Flink
Issue Type: Bug
Nico Kruber created FLINK-5309:
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Summary: documentation links on the home page point to 1.2-SNAPSHOT
Key: FLINK-5309
URL: https://issues.apache.org/jira/browse/FLINK-5309
Project: Flink
Issue Ty
Stephan Ewen created FLINK-5310:
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Summary: Harden the RocksDB JNI library loading
Key: FLINK-5310
URL: https://issues.apache.org/jira/browse/FLINK-5310
Project: Flink
Issue Type: Improvement
Hi Ken,
The first issue you reported is a corrupt Ruby configuration we can't
do much about.
The JavaDocs are not generated correctly because of malformed JavaDoc:
https://ci.apache.org/builders/flink-docs-master/builds/551/steps/Java%20%26%20Scala%20docs/logs/stdio
We will have to go through the
You haven't really added a sink in Flink terminology, you're just performing a
side effect within a map operator. So while it may work, if you want to add a
sink proper you need have an object that extends SinkFunction or
RichSinkFunction. The method call on the stream should be ".addSink(…)".
Hi there,
I have a flink streaming app where my source is Kafka and a custom sink to
Cassandra(I can't use standard C* sink that comes with flink as I have
customized auth to C*). I'm currently have the following:
messageStream
.rebalance()
.map( s-> {
return mapper.readValu
Thanks a lot for the quick reply Shannon.
1. I will create a class that extends SinkFunction and write my connection
logic there. My only question here is- will a dbSession be created for each
message/partition which might affect the performance? Thats the reason why
I added this line to create a
Ivan Mushketyk created FLINK-5311:
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Summary: Write user documentation for BipartiteGraph
Key: FLINK-5311
URL: https://issues.apache.org/jira/browse/FLINK-5311
Project: Flink
Issue Type: Bug
HI,
I am trying to group messages by message name, timestamp and then perform
aggregation on message value. My window function looks like below
metrics.keyBy("metricName")
.keyBy("timeStamp")
.timeWindow(Time.seconds(30))
.trigger(ProcessingTimeTrigger.create())
.fold(new Tuple3(
Dear Flink community members,
Please review and comment on https://github.com/apache/flink/pull/2982.
Thanks,
Chen
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