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Posted to commits@beam.apache.org by "Raghu Angadi (JIRA)" <ji...@apache.org> on 2017/03/01 04:14:45 UTC
[jira] [Commented] (BEAM-1573) KafkaIO does not allow using Kafka
serializers and deserializers
[ https://issues.apache.org/jira/browse/BEAM-1573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15889471#comment-15889471 ]
Raghu Angadi commented on BEAM-1573:
------------------------------------
[~peay], it is not clear what you are trying to do that is not possible now. Can you paste (psuedo) code for either Beam pipeline (or even simple {{consume(KafkaRecord record)}} method) to illustrate what you want to do? Btw, is this for source or sink?
Note that if you don't do '.withoutMetaData()' on KafkaIO.read(), it return KafkaRecord<K, V>, which does contain topic, partition and other metadata.
> KafkaIO does not allow using Kafka serializers and deserializers
> ----------------------------------------------------------------
>
> Key: BEAM-1573
> URL: https://issues.apache.org/jira/browse/BEAM-1573
> Project: Beam
> Issue Type: Bug
> Components: sdk-java-extensions
> Affects Versions: 0.4.0, 0.5.0
> Reporter: peay
> Assignee: Raghu Angadi
> Priority: Minor
>
> KafkaIO does not allow to override the serializer and deserializer settings of the Kafka consumer and producers it uses internally. Instead, it allows to set a `Coder`, and has a simple Kafka serializer/deserializer wrapper class that calls the coder.
> I appreciate that allowing to use Beam coders is good and consistent with the rest of the system. However, is there a reason to completely disallow to use custom Kafka serializers instead?
> This is a limitation when working with an Avro schema registry for instance, which requires custom serializers. One can write a `Coder` that wraps a custom Kafka serializer, but that means two levels of un-necessary wrapping.
> In addition, the `Coder` abstraction is not equivalent to Kafka's `Serializer` which gets the topic name as input. Using a `Coder` wrapper would require duplicating the output topic setting in the argument to `KafkaIO` and when building the wrapper, which is not elegant and error prone.
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