B.T.W It might be better off to pre aggregation via slidingWindow with
controlled bucket size and batch update as well as retention.
Thanks,
Chen
> On May 29, 2017, at 3:05 PM, Chen Qin wrote:
>
> I see, not sure this this hack works. It utilize operator state to hold all
Thanks for looking into it Till!
I'll try changing that line locally and then send a JIRA issue. When it
gets officially fixed I'll probably create an Ignite-Flink connector to
replace the older and less efficient one [1]. Users will be able to create
Flink jobs on Ignite nodes, right where the
I see, not sure this this hack works. It utilize operator state to hold all
mapping assigned to that operator instance.
If key by can generate determined mapping between upstream events to fixed
operator parallelism, then the operator state could hold mapping between keys
and
Hi to all,
I'm still trying to understand what's going on our production Flink cluster.
The facts are:
1. The Flink cluster runs on 5 VMWare VMs managed by ESXi
2. On a specific job we have, without limiting the direct memory to 5g,
the TM gets killed by the OS almost immediately because the
Hi Ali :)
You could compute the degrees beforehand (e.g. using the
Graph.[in|out|get]degrees()) methods and use the resulting dataset as a
new vertex dataset. You can now run your vertex-centric computation and
access the degrees as vertex value.
Cheers,
Martin
On 29.05.2017 09:28,
For got to mention I am running 10 slots in each machine and
taskmanager.network.numberOfBuffers: 1
Is there a scope of improving memory usage?
From: Sathi Chowdhury
>
Date: Monday, May 29, 2017 at 9:55 AM
To:
Hi all,
Has someone successfully run Flink jobs with this type of setup (Gitlab CI
CD and Kubernetes)?
Since Flink jobs can’t be dockerized and deployed in a natural way as part
of the container (according to Flip-6) I am not very sure of how is the best
way of doing this.
We are thinking of
Hello Flink Dev and Community
I have 5 task managers each tie 64 GB of memory
I am running flink on yarn with task manager heap taskmanager.heap.mb: 563200
Link still shows that it is using about 21 GB memory leaving 35 GB
available..how and what can I do to fix it?
Please suggest
Thanks
Sathi
I am porting a calculation from Spark batches that uses broadcast
variables to compute percentiles from metrics and curious for tips on
doing this with Flink streaming.
I have a windowed computation where I am compute metrics for
IP-addresses (a windowed stream of metrics objects grouped by
FYI: taskmanager.sh sets this parameter but also states the following:
# Long.MAX_VALUE in TB: This is an upper bound, much less direct memory will
be used
TM_MAX_OFFHEAP_SIZE="8388607T"
Nico
On Monday, 29 May 2017 15:19:47 CEST Aljoscha Krettek wrote:
> Hi Flavio,
>
> Is this running on
Hi,
If you use tumbling windows or sliding windows then Flink will not keep
additional meta data besides the actual window contents. Also, if you use a
Trigger that purges when firing Flink will clean the window contents after
firing a window. This means that you can set allowed lateness to
Hi Flavio,
Is this running on YARN or bare metal? Did you manage to find out where this
insanely large parameter is coming from?
Best,
Aljoscha
> On 25. May 2017, at 19:36, Flavio Pompermaier wrote:
>
> Hi to all,
> I think we found the root cause of all the problems.
Hi,
To expand a bit on that, each function is only invoked by one Thread
concurrently but the function might be serialised and sent to several executors
(TaskManagers) for parallel execution. For more information, check out [1] and
[2].
Best,
Aljoscha
[1]
Hi Chen,
How to you update the ValueState during checkpointing. I’m asking because a
keyed state should always be scoped to a key and when checkpointing there is no
key scope because we are not processing any incoming element and we’re not
firing a timer (the two cases where we have a key
Hi,
I want to write an iterative algorithm using Gelly (spargel), like:
https://ci.apache.org/projects/flink/flink-docs-release-0.8/spargel_guide.html
My question is how I can access the actual vertex information like the
vertex degree (in- or outdegree)
under the subclass of
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