Hi!
This looks neat. Let's try it out. I just voted.
Cheers,
Max
On Sun, Sep 4, 2016 at 8:11 PM, Vishnu Viswanath
wrote:
> Hi All,
>
> Why don't we make use of Stackoverflow's new documentation feature to do
> some documentation of Apache Flink.
>
> To start, at least 5 SO users should commit t
Thanks for letting us know!
On Sat, Sep 3, 2016 at 12:42 PM, neo21 zerro wrote:
> Hi all,
>
> It turns out that there were other factors influencing my performance tests.
> (actually hbase)
> Hence, more consumers than partitions in Flink was not the problem.
> Thanks for the help!
>
>
> On Wedne
Please give us a bit more insight on what you're trying to do.
On Sat, Sep 3, 2016 at 5:01 AM, wrote:
> Hi，
> val env = StreamExecutionEnvironment.getExecutionEnvironment
> val tr = env.fromParallelCollection(data)
>
> the data i do not know initialize,some one can tell me..
>
Hi,
right now it is not possible to mix the DataSet and the DataStream API. The
reason for the "task not serializable" error is that putting the DataSet
into the map function tries to serialize the DataSet, which is not possible.
Cheers,
Aljoscha
On Tue, 30 Aug 2016 at 16:31 wrote:
> Hi,
>
That's true. The reason why it works in Flink is that a slow downstream
operator will back pressure an upstream operator which will then slow down.
The technical implementation of this relies on the fact that Flink uses a
bounded pool of network buffers. A sending operator writes data to network
bu
Hi,
which version of Flink are you using? Are the checkpoints being reported as
successful in the Web Frontend, i.e. in the "checkpoints" tab of the
running job?
Cheers,
Aljoscha
On Fri, 2 Sep 2016 at 12:17 Dong-iL, Kim wrote:
> Hi,
>
> I’m using HDFS as state backend.
> The checkpoints folder
+Max Michels
Directly looping in Max. You recently worked on the clients code, do you
have any Idea if and how this is possible?
On Fri, 2 Sep 2016 at 14:38 Paul Wilson wrote:
> Hi,
>
> I'd like to write a client that can execute an already 'uploaded' JAR
> (i.e. the JAR is deployed and availab
Hi,
I just committed to apache-flink documentation on SO, one more commit
required. Nice idea to document on SO Vishnu.
Regards,
Ravikumar
On 5 September 2016 at 14:22, Maximilian Michels wrote:
> Hi!
>
> This looks neat. Let's try it out. I just voted.
>
> Cheers,
> Max
>
> On Sun, Sep 4,
The jar file always needs to be available. Whether this is locally on
your machine or in the jar file directory of the web interface which
runs on the JobManager. Without the file we can't generate a JobGraph
which is Flink's representation of a compiled program ready for
execution. Additionally, w
Thanks for the suggestion Vishnu!
Stackoverflow documentation looks great. I like the easy contribution and
versioning features.
However, I am a bit skeptical. IMO, Flink's primary documentation must be
hosted by Apache. Out-sourcing such an important aspect of a project to an
external service is
I thought it is not about outsourcing but about providing an
example-based documentation on SO which can be easily edited by the SO
community. The work can be fed back to the official Flink
documentation which will always be on flink.apache.org.
On Mon, Sep 5, 2016 at 12:42 PM, Fabian Hueske wrot
I've understood the SO documentation approach similar to what Max has said.
I see it as source of code examples which illustrate Flink concepts and
which is maintained by the SO community.
On Mon, Sep 5, 2016 at 1:09 PM, Maximilian Michels wrote:
> I thought it is not about outsourcing but about
Hi,
for this you would have to use a non-parallel window, i.e. something like
stream.windowAll().apply(...). This does not compute per key but
has the drawback that computation does not happen in parallel. If you only
use it to combine the pre-aggregated maps it could be OK, though.
Cheers,
Aljosc
I voted. It's live now.
The advance of SO documentation is also, that people not familiar with
Apache might do some documentation (but would never open a PR). Of
course, as community, we should put the focus on web page docs. But
having something additional can't hurt.
From my experience, it is a
Hi,
Is it possible to use flinkstatebackend with nfs? We dont want to deploy
hadoop in our environment and we want to attach same nfs volume to mount
every task and job manager.
Thanks...
Hi Stephan,
thanks for your reply!
It seems as if I can only use broadcast variables on DataSet-Operators (using
myFunc.withBroadcastSet(…))
Is that right?
I am working on a DataStream, though. Do streams offer similiar functionality?
Best Regards,
Julian
Von: Stephan Ewen [mailto:se...@apach
I think you could make use of this small component I've developed:
https://gitlab.com/chobeat/Flink-JPMML
It's specifically for using JPMML on Flink. Maybe there's too much stuff
for what you need but you could reuse the code of the Operator to do what
you need.
2016-09-05 14:11 GMT+02:00 Bauss,
Hi Simone,
that sounds promising!
Unfortunately your link leads to a 404 page.
Best Regards,
Julian
Von: Simone Robutti [mailto:simone.robu...@radicalbit.io]
Gesendet: Montag, 5. September 2016 14:59
An: user@flink.apache.org
Betreff: Re: Storing JPMML-Model Object as a Variable Closure?
I thi
It seems that the content on SO is licensed under cc by-sa 3.0 with
attribution required
The Apache Legal FAQ is not completely clear about that case
http://www.apache.org/legal/resolved.html#cc-sa
But if we want, we could at least ask the legal PMC if we can add some of
the content from SO into t
Yes, sorry but it's private and I just discovered we don't want to release
it as public yet. This piece of code could help you though:
https://gist.github.com/chobeat/f07221357a2e3f9efa377e4cb0479f92
Ignore all the stuff about the strategies. The important part is the `open`
method and the transie
I am using Kafka consumer in flink 1.1.1 with Kafka 0.8.2. I want to read
byte array as it is in datastream. I tried to use RawSchema as
desrialization schema but couldn't find same 1.1.1.
I want to know whether I have to write my custom implementation for same ?
Can somebody help me to sort out s
Hello Dan,
are you broadcasting the 85GB of data then? I don't get why you wouldn't
store that file on HDFS so it's accessible by your workers.
If you have the full code available somewhere we might be able to help
better.
For L-BFGS you should only be broadcasting the model (i.e. the weight
ve
I forgot to mention the FLIP that would basically provide the functionality
that we need (without handling of late elements):
https://cwiki.apache.org/confluence/display/FLINK/FLIP-2+Extending+Window+Function+Metadata.
I just need to find some time to implement this or find someone who would
be wil
Hi Simone,
thank you for your feedback!
The code snippet you provided works fine.
The only drawback is that the Evaluator gets initialized once per
Function-Instance.
That could lead to high memory consumption depending on the level of parallelism
and the size of the PMML-Model (which can get qu
>The only drawback is that the Evaluator gets initialized once per
Function-Instance.
I believe that reducing the number of functions instances is something that
should be handled by Flink's runtime and that's why I've implemented the
solution this way. In our tests the number of instances was min
Your Kafka topic seems to contain null values. By default, Flink will
just forward null values to the DeserializationSchema which has to
take care of null values. The SimpleStringSchema doesn't do that and
fails with a NullPointerException. Thus, you need an additional check
in your Deserialization
Just implement DeserializationSchema and return the byte array from
Kafka. Byte array serialization poses no problem to the Flink
serialization.
On Mon, Sep 5, 2016 at 3:50 PM, Swapnil Chougule
wrote:
> I am using Kafka consumer in flink 1.1.1 with Kafka 0.8.2. I want to read
> byte array as it i
On Mon, Sep 5, 2016 at 12:30 PM, Aljoscha Krettek
wrote:
> Hi,
> for this you would have to use a non-parallel window, i.e. something like
> stream.windowAll().apply(...). This does not compute per key but
> has the drawback that computation does not happen in parallel. If you only
> use it to co
Hi Team,
I'm working on a Flink Streaming application. The data is injected
through Kafka connectors. The payload volume is roughly 100K/sec. The event
payload is a string. Let's call this as DataStream1.
This application also uses another DataStream, call it DataStream2,
(consumes events off
Thanks Aris for your explanation!
A guava version mismatch was indeed the problem. But in addition to
shading the guava dependencies, I encountered another issue caused by
conflicting files in META-INF/services:
RemoteTransportException[[Failed to deserialize response of type
[org.elasticse
Hi,
This is my understanding of SO Documentation:
1. Any one in the community can contribute, others can validate and improve
2. Users can request a topic
3. As Max mentioned, the documentation is more example oriented and it
doesn't have to be as comprehensive as the Flink's primary documentatio
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