Hello everyone,
Our team ran into an issue that testing new deployment of flink job is
difficult as explained below
Goal:
When we are deploying new version of a flink job in production. we want to
be able to have the job process some test messages and verify the output to
make sure that the
Hi every one,
We are building a flink job that keys on a dynamic value. Only a few events
share the same key and events with new keys are consumed constantly.
For each key, there are some keyedState created the first time it is seen.
And we clean up the keyedState if the key has not been seen
Hi guys,
I enabled incremental flink checkpoint for my flink job. I had the job read
messages at a stable rate. For each message, the flink job store something
in the keyed state. My question is: For every minute, the increased state
size is the same, shouldn't the incremental checkpoint size
Hi Guys! I'm designing a topology where multiple operators should forward the
messages to the same sink.
For example I have Operator A,B,C,D,E. I want A,B,C to forward to Sink1 and
D, E to forward to Sink2.
My options are
1. Union A, B and C. then add Sink1 to them. Similarly for D and E.
Hi Guys,
I am running into a problem.
I have 2 jobs running on the same taskmanager. Each Job creates a singleton
of the same class, say MySingleton class. Are they actually sharing the same
singleton?
Hope my question is clear.
Best,
Burgess Chen
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Hi everyone,
I'm trying out the SQL API in flink 1.6
I first convert a data stream to a table (let's call it tableA) using
tableEnv.registerDataStream, then perform queries on tableA and finally
convert the result to a retract stream.
My question is: Is there a way to clean up/ remove
Hi Gary.
Thanks for the reply. I am using RocksDBStateBackend though.
Best,
Chen
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Hi Guys,
I observed some strange behaviors while using Queryable state with Flink
1.6.2. Here is the story:
My state is of type MapState[String, Map[String, String]]. the inner map is
frequently updated. Upon querying, sometimes the returned inner map can miss
some fields. What's more, sometimes
Hi everyone,
I am having a problem and hope some one can provide insights here.
I am trying to make use of the queryable state feature.
due to https://issues.apache.org/jira/browse/FLINK-10225, I have to know on
which task managers the job is deployed.
My idea is to use REST API
Hi guys,
Out team is observing a stability issue on our Standalone Flink clusters.
Background: The kafka cluster our flink jobs read from/ write to have some
issues and every 10 to15 mins one of the partition leaders switch. This
causes jobs that write to/ read from that topic fail and restart.
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