Hi group,
We have a standalone Flink cluster that is running on a UNIX host with 40 CPUs
and 256GB RAM.
There is one task manager and 24 slots were defined.
When we decrease the parallelism of the Stream graph operators(each operator
has the same parallelism),
we see a consistent change in the
Hi,
I try to launch a Flink cluster on top of dc/os but TaskManagers are not
launched at all.
What I do to launch a Flink cluster is as follows:
- Click "flink" from "Catalog" on the left panel of dc/os GUI.
- Click "Run service" without any modification on configuration for the purpose
of
Also note that if I were to start 2 pipelines
1. Working off the head of the topic and thus not prone to the pathological
case described above
2. Doing a replay and thus prone to the pathological case described above
Than the 2nd pipe will stall the 1st pipeline. This seems to to point to
-
Thank you.
On Tue, Jan 2, 2018 at 1:31 PM, Nico Kruber wrote:
> Hi Vishal,
> let me already point you towards the JIRA issue for the credit-based
> flow control: https://issues.apache.org/jira/browse/FLINK-7282
>
> I'll have a look at the rest of this email thread
Hi Vishal,
let me already point you towards the JIRA issue for the credit-based
flow control: https://issues.apache.org/jira/browse/FLINK-7282
I'll have a look at the rest of this email thread tomorrow...
Regards,
Nico
On 02/01/18 17:52, Vishal Santoshi wrote:
> Could you please point me to
Could you please point me to any documentation on the "credit-based flow
control" approach
On Tue, Jan 2, 2018 at 10:35 AM, Timo Walther wrote:
> Hi Vishal,
>
> your assumptions sound reasonable to me. The community is currently
> working on a more fine-grained back
Hi Jinhua,
did you check the key group assignments? What is the distribution of
"MathUtils.murmurHash(keyHash) % maxParallelism" on a sample of your
data? This also depends on the hashCode on the output of your KeySelector.
keyBy should handle high traffic well, but it is designed for key
Hi Arnaud,
thanks for letting us know your workaround. I agree that this is a
frequently asked topic and important in certain use cases. I'm sure that
it will be solved in the near future depending on the priorities.
My 2 cents: Flink is an open source project maybe somebody is willing to
Hi,
My 2 cents: not being able to programmatically nicely stop a Flink stream is
what lacks most to the framework IMHO. It's a very common use case: each time
you want to update the application or change its configuration you need to
nicely stop & restart it, without triggering alerts, data
Hi Teena,
could you tell us a bit more about your job. Are you using event-time
semantics?
Regards,
Timo
Am 1/2/18 um 6:14 AM schrieb Teena K:
Hi,
I am using Flink 1.4 along with Kafka 0.11. My stream job has 4 Kafka
consumers each subscribing to 4 different topics. The stream from each
Hi Vishal,
your assumptions sound reasonable to me. The community is currently
working on a more fine-grained back pressuring with credit-based flow
control. It is on the roamap for 1.5 [1]/[2]. I will loop in Nico that
might tell you more about the details. Until then I guess you have to
I did a simulation on session windows ( in 2 modes ) and let it rip for
about 12 hours
1. Replay where a kafka topic with retention of 7 days was the source (
earliest )
2. Start the pipe with kafka source ( latest )
I saw results that differed dramatically.
On replay the pipeline stalled after
Sorry for the late response,
but I finally got around adding this workaround to our "common issues"
section with PR https://github.com/apache/flink/pull/5231
Nico
On 29/11/17 09:31, Ufuk Celebi wrote:
> Hey Dominik,
>
> yes, we should definitely add this to the docs.
>
> @Nico: You recently
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