Can you specify exactly where you have that excess of data? Flink uses basically Kafka's standard consumer and passes byte[] unmodified to the DeserializationSchema. Can you help us check whether the "too many bytes" happens already before or after the DeserializationSchema?
- If the "too many bytes" already arrive at the DeserializationSchema, then we should dig into the way that Kafka's consumer is configured - If the "too many bytes" appears after the DeserializationSchema, then we should look into the DeserializationSchema, for example whether it is stateful, accidentally shared across threads, etc. On Thu, Mar 1, 2018 at 11:08 AM, Fabian Hueske <fhue...@gmail.com> wrote: > Hi Phil, > > I've created a JIRA ticket for the problem that you described and linked > it to this thread: FLINK-8820. > > Thank you, Fabian > > [1] https://issues.apache.org/jira/browse/FLINK-8820 > > 2018-02-28 5:13 GMT+01:00 Philip Doctor <philip.doc...@physiq.com>: > >> >> - The fact that I seem to get all of my data is currently leading me >> to discard and ignore this error >> >> >> >> Please ignore this statement, I typed this email as I was testing a >> theory, I meant to delete this line. This is still a very real issue for >> me. I was looking to try a work around tomorrow, I saw that the Kafka 11 >> consumer supported transactions for exactly once processing, I was going to >> read about that and see if I could somehow fail a read that I couldn’t >> deserialize and try again, and if that might make a difference (can I just >> retry this ?). I’m not sure how that’ll go. If you’ve got an idea for a >> work around, I’d be all ears too. >> >> >> >> >> >> *From: *Philip Doctor <philip.doc...@physiq.com> >> *Date: *Tuesday, February 27, 2018 at 10:02 PM >> *To: *"Tzu-Li (Gordon) Tai" <tzuli...@apache.org>, Fabian Hueske < >> fhue...@gmail.com> >> *Cc: *"user@flink.apache.org" <user@flink.apache.org> >> *Subject: *Re: Flink Kafka reads too many bytes .... Very rarely >> >> >> >> Honestly this has been a very frustrating issue to dig in to. The fact >> that I seem to get all of my data is currently leading me to discard and >> ignore this error, it’s rare, flink still seems to work, but something is >> very hard to debug here and despite some confusing observations, most of my >> evidence suggests that this originates in the flink kafka consumer. >> > >
