Hi to all,
I have this strange error in my job and I don't know what's going on.
What can I do?
The full exception is:
The slot in which the task was scheduled has been killed (probably loss of
TaskManager).
at org.apache.flink.runtime.instance.SimpleSlot.cancel(SimpleSlot.java:98)
at
The exception indicates that you're still using the old version. It takes
some time for the new Maven artifact to get deployed to the snapshot
repository. Apparently, a artifact has already been deployed this morning.
Did you delete the jar files in your .m2 folder?
On Wed, Apr 15, 2015 at 1:38
Hi to all,
another error today :(
My job ended with a lot of Orphaned chunk of bytes found during
finalize.
What could be the cause of this error?
Best,
Flavio
On 15 Apr 2015, at 14:18, Maximilian Michels m...@apache.org wrote:
The exception indicates that you're still using the old version. It takes
some time for the new Maven artifact to get deployed to the snapshot
repository. Apparently, a artifact has already been deployed this morning.
Did
The table API (see
http://ci.apache.org/projects/flink/flink-docs-master/table.html) is
exactly for that.
Check it out!
On Wed, Apr 15, 2015 at 4:23 PM, hagersaleh loveallah1...@yahoo.com wrote:
Is there a data type stores name filed and datatype of field and return
field
by name
i want
Hey Flavio,
I was not able to find the String Orphaned chunk in the Flink code base.
However, I found it here:
https://github.com/apache/phoenix/blob/master/phoenix-core/src/main/java/org/apache/phoenix/memory/GlobalMemoryManager.java#L157
Maybe you've send the message to the wrong mailing list?
Yes Robert,
Unfortunately I discovered that the error was caused by Phoenix just a
little bit later the mail sending.
The error is generated in the finalize() method of Pheonix MemoryManager so
it seems somehow related to gc.
I rerun the experiment logging to a file so I can investigate deeper
Hi to all,
I've received an error running the job saying to increase this parameter so
I set it to 2048*4 and everything worked.
However, could you explain me in detail how this number is computed?
I'm running the job from my IDE (default parallelism so all my 8 cores) so
I was expecting no such
On 15 Apr 2015, at 09:37, Flavio Pompermaier pomperma...@okkam.it wrote:
I've received an error running the job saying to increase this parameter so I
set it to 2048*4 and everything worked.
However, could you explain me in detail how this number is computed?
I'm running the job from my IDE
On 15 Apr 2015, at 10:30, Flavio Pompermaier pomperma...@okkam.it wrote:
Hi to all,
I have to join two datasets but I'd like to keep all data in the left also if
there' no right dataset.
How can you achieve that in Flink? maybe I should use coGroup?
Yes, currently you have to implement
Do you have an already working example of it? :)
On Wed, Apr 15, 2015 at 10:32 AM, Ufuk Celebi u...@apache.org wrote:
On 15 Apr 2015, at 10:30, Flavio Pompermaier pomperma...@okkam.it wrote:
Hi to all,
I have to join two datasets but I'd like to keep all data in the left
also if there'
please add link to explain left join using cogroup
or add example
very thanks
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I think this may be a great example to add as a utility function.
Or actually add as an function to the DataSet, internally realized as a
special case of coGroup.
We do not have a ready example of that, but it should be straightforward to
realize. Similar as for the join, coGroup on the join
Hi guys,
I'm trying to setup a simple Flink cluster on Google Compute Engine.
I'm running 3 nodes (1 master, 2 workers).
On master node I set up ssh key and moved it into authorized_keys.
When I try to copy my key to each worker node I got Permission denied
(publickey).
Someone had the same
Hi to all,
I have to join two datasets but I'd like to keep all data in the left also
if there' no right dataset.
How can you achieve that in Flink? maybe I should use coGroup?
Best,
Flavio
Hi Flavio,
Here's an simple example of a Left Outer Join:
https://gist.github.com/mxm/c2e9c459a9d82c18d789
As Stephan pointed out, this can be very easily modified to construct a
Right Outer Join (just exchange leftElements and rightElements in the two
loops).
Here's an excerpt with the most
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