Hi!
I have some ideas, let me see if I can make them concrete until tomorrow...
Greetings,
Stephan
On Mon, Apr 27, 2015 at 5:29 PM, LINZ, Arnaud
wrote:
> Hi,
>
> I see. My Key class is an abstract class, which subclasses are Key1,
> Key2 etc, so it’s very like a tuple. It is heavily used in
The effect of disabling the closure cleaner is that some cases can throw
you a "NonSerializableException".
If you do not see that, there is no problem anyways, no unexpected side
effect :-)
Have you tried the latest version of the Flink master? We updated the code
(2 days ago) to use as newer ver
Hi,
With cluster.getConfig().disableClosureCleaner() it works, thanks ; what are
the sides effect of this workaround?
My code is just a plain Junit test, the only code that is called outside of
what I gave is :
public static String chercher(String nom) {
String retour = null;
I solve mu problem very thanks
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Hi,
I see. My Key class is an abstract class, which subclasses are Key1,
Key2 etc, so it’s very like a tuple. It is heavily used in
“non-distributed” hash maps once the dataset is reduced to fit on a single JVM.
It exposes the common contract that I need (such as getHeadKey(), getLastl(),
or mak
Hi!
I put a quick summary into the wiki. For future reference.
https://cwiki.apache.org/confluence/display/FLINK/Variables+Closures+vs.+Broadcast+Variables
Greetings,
Stephan
On Mon, Apr 27, 2015 at 11:10 AM, Stephan Ewen wrote:
> Adding to Fabian's and Sebastian's answer:
>
>
> Variable in
implement left outer join from two dataset Customer and Orders
using Tuple data type
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Hi,
what data are you using?
The exception says "NullFieldException: Field 1 is null, but expected to hold
a value.". Maybe the data is not in the right format?
On Mon, Apr 27, 2015 at 2:32 PM, hagersaleh wrote:
> I want implement left outer join from two dataset i use Tuple data type
>
>
> pa
I want implement left outer join from two dataset i use Tuple data type
package org.apache.flink.examples.java.relational;
import org.apache.flink.api.common.functions.CoGroupFunction;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.DataSet;
import org
Adding to Fabian's and Sebastian's answer:
Variable in Closure (global variable)
--
- Happens when you reference some variable in the program from a function.
The variable becomes part of the Function's closure.
- The variable is distributed w
To add to Robert's answer:
The two parameters "taskmanager.heartbeat-interval: 1" and "
jobmanager.max-heartbeat-delay-before-failure.sec: 90" are deprecated in
the current 0.9 master.
We need to use the akka parameters for the heartbeat in 0.9. Example:
akka.watch.heartbeat.interval: 10s
a
Hi Filip!
We pushed a fix to the master end of last week, which addressed an issue
with pre-mature buffer pool deallocation.
Can you try if the latest version fixes your problem?
Greetings,
Stephan
On Sun, Apr 26, 2015 at 5:16 PM, Filip Łęczycki
wrote:
> Hi Stephan,
>
> You are right, sorry
You should also be aware that the value of a static variable is only
accessible within the same JVM.
Flink is a distributed system and runs in multiple JVMs. So if you set a
value in one JVM it is not visible in another JVM (on a different node).
In general, I would avoid to use static variables i
Hi Ventura!
I hope you can get along without editing the Flink runtime, with the help
of overriding the open/close methods of the RichFunctions and do your
initialization there.
They are called once per life of a parallel function (except in iterations,
where they are called once per superstep, bu
Hi,
it looks like there the TaskManager on 172.16.20.112:41265 was suffering
from a network disruption (because the HDFS connection seems to be affected
as well).
Are the clocks on the JobManager and the TaskManager out of sync? Because
the jobmanager is complaining on 07 about the missing TM, bu
Hi Alexander and Till,
thanks for your informations, I look forward to the release.
I'm curious how well is flink ml against mahout und spark ml.
best regerds
Paul
2015-04-27 9:23 GMT+02:00 Till Rohrmann :
> Hi Paul,
>
> if you can't wait, a vanilla implementation is already contained as part
>
Hi Paul,
if you can't wait, a vanilla implementation is already contained as part of
the Flink examples. You should find it under flink/flink-examples.
But we will try to add more clustering algorithms in the near future.
Cheers,
Till
On Apr 26, 2015 11:14 PM, "Alexander Alexandrov" <
alexander.
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