Hi Ryan,
I guess the ticket you are looking for is the following [1]. AFAIK the work
on it hasn't started yet. So we are still appreciating initial designs or
ideas.
Best,
Fabian
[1] https://issues.apache.org/jira/browse/FLINK-25416
On Tue, Feb 22, 2022 at 11:54 PM Ryan van Huuksloot <
ryan.van
Hi Jai,
Do writes to ValueStates/MapStates have a direct on churn of the Flink
> State or is the data buffered in between?
>
Writes to keyed state go directly to RocksDB. So there shouldn't be any
memory issues with buffers overflowing or similar. In general, more memory
should increase performan
Hi Sigalit,
first of all, have you read the docs page on metrics [1], and in particular
the Prometheus section on metrics reporters [2]?
Apart from that, there is also a (somewhat older) blog post about
integrating Flink with Prometheus, including a link to a repo with example
code [3].
Hope that
Thanks Zhilong.
The first launch of our job is fast, I don’t think that’s the issue. I see in
flink job manager log that there were several exceptions during the restart,
and the task manager was restarted a few times until it was stabilized.
You can find the log here:
jobmanager-log.txt.gz
Hello,
For (1) I welcome you to visit our documentions, and many talks online to
understand more about the motivation and the value of StateFun. I can say
in a nutshell that StateFun provides few building blocks that makes
building distributed stateful applications easier.
For (2) checkout our pl
Hi, Afek
I've read the log you provided. Since you've set the value of
restart-strategy to be exponential-delay and the value
of restart-strategy.exponential-delay.initial-backoff is 10s, everytime a
failover is triggered, the JobManager will have to wait for 10 seconds
before it restarts the job.
Using the latest SNAPSHOT BUILD.
If I have a column definition as
.column(
"events",
DataTypes.ARRAY(
DataTypes.ROW(
DataTypes.FIELD("status",
DataTypes.STRING().notNull()),
DataTypes.FIELD("times
This might be related with FLINK-21928 and seems already fixed in 1.14.0.
But it will have some limitations and users need to manually clean up the
HA entries.
Best,
Yang
Parag Somani 于2022年2月24日周四 13:42写道:
> Hello,
>
> Recently due to log4j vulnerabilities, we have upgraded to Apache Flink
>
Hi all,
we're using pyflink for most of our flink work and are sometimes into a
java process function.
Our new java process function takes an argument in in the constructor which
is a Row containing default values. I've declared my Row in pyflink like
this:
default_row = Row(ep_uuid="",
so we have a streaming job where the main work to be done is processing
infinite kafka sources. recently, i added a fromCollection (finite) source
to simply write some state once upon startup. this all seems to work
fine. the finite source operators all finish, while all the infinite
source oper
10 matches
Mail list logo