Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann PR has been updated!
I had to do some changes:
- map `User` object to `String` in `TestAvroConsumerConfluent` class
- use `read_messages_from_kafka` instead of `read_messages_fr
Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann make sense.
I created this ticket https://issues.apache.org/jira/browse/FLINK-9679 for
implementing `AvroSerializationConfluentSchema`. I will make a PR for it
shortly.
Mean time
Github user tillrohrmann commented on the issue:
https://github.com/apache/flink/pull/6083
This is a good point @medcv. However, I think we should tackle adding a
`AvroSerializationConfluentSchema` as an orthogonal step. What about removing
it from this PR which covers the existing in
Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann
here is my two cents:
By converting the events to `String` and sending them to Kafka there is a
high risk to produce a `bad events` and we will lose the benifit of Schema
Registr
Github user tillrohrmann commented on the issue:
https://github.com/apache/flink/pull/6083
Why don't we output the events using the `SimpleStringSchema` without
verification of the schema. That way we would no longer need
`AvroSerializationConfluentSchema` and could get rid of the `ka
Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann I made the changes and used
`ConfluentRegistryAvroDeserializationSchema` for the Deserializations.
I still using `AvroSerializationConfluentSchema` as we need to compare each
income
Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@dawidwys do u have an example using
`ConfluentRegistryAvroDeserializationSchema`. I have some difficulties to make
it work
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Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann PR is updated please review!
I will also look into `ConfluentRegistryAvroDeserializationSchema`
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Github user tillrohrmann commented on the issue:
https://github.com/apache/flink/pull/6083
I agree with @dawidwys. We should use
`ConfluentRegistryAvroDeserializationSchema` for the test. It is ok that this
end-to-end test would then only go to Flink `1.6`. The benefit is that we only
Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@dawidwys Thanks for the review! I will look into that PR. This test is for
Release 1.4 and 1.5 and provide a proof that Flink V4.0 and V5.0 can work with
ConfluentSchema Registry properly. As PR you m
Github user dawidwys commented on the issue:
https://github.com/apache/flink/pull/6083
Just my two cents, we've recently introduced a `DeserializationSchema` that
uses Confluent Schema Registry to decode data. Could you reuse it rather than
introduce a new one. The PR in which it was
Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann Thanks for the review! I will go through them and will make
the changes shortly.
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Github user dmpour23 commented on the issue:
https://github.com/apache/flink/pull/6083
@medcv Regarding KeyedDeserialization/KeyedSerializationSchema. I assume
that the blocking part is the casting in deserializeKey, serializeKey,
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Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@dmpour23 Thanks! I updated the import as`*.util.serialization` was
Deprecated!
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Github user dmpour23 commented on the issue:
https://github.com/apache/flink/pull/6083
Hi would this work for KeyedDeserialization/KeyedSerializationSchema.
Should the import be:
> org.apache.flink.api.common.serialization.DeserializationSchema
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Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann Thanks a lot for doing the review!
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Github user tillrohrmann commented on the issue:
https://github.com/apache/flink/pull/6083
Thanks for opening the PR @medcv. I will try to take a look next week.
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Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann I would appreciate if you review or assign a reviewer to this
PR.
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Github user medcv commented on the issue:
https://github.com/apache/flink/pull/6083
@tillrohrmann please review
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