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Posted to issues@beam.apache.org by "Sushant (Jira)" <ji...@apache.org> on 2022/05/08 14:09:00 UTC

[jira] [Comment Edited] (BEAM-12871) Support for Confluent Schema Registry

    [ https://issues.apache.org/jira/browse/BEAM-12871?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17533444#comment-17533444 ] 

Sushant edited comment on BEAM-12871 at 5/8/22 2:08 PM:
--------------------------------------------------------

This would very important feature to have considering many folks will love to use python sdk with kafka confluent schema registry. Can we make it P2?


was (Author: JIRAUSER289165):
This would very important feature to have considering many folks will love to use python sdk with kafka confluent schema registry

> Support for Confluent Schema Registry
> -------------------------------------
>
>                 Key: BEAM-12871
>                 URL: https://issues.apache.org/jira/browse/BEAM-12871
>             Project: Beam
>          Issue Type: New Feature
>          Components: cross-language, io-py-kafka
>            Reporter: Dénes Bartha
>            Priority: P3
>
> I would like to use the Python components [{{apache_beam.io.kafka.}}{{WriteToKafka}}|https://beam.apache.org/releases/pydoc/2.32.0/apache_beam.io.kafka.html#apache_beam.io.kafka.WriteToKafka] and [{{apache_beam.io.kafka.ReadFromKafka}}|https://beam.apache.org/releases/pydoc/2.32.0/apache_beam.io.kafka.html#apache_beam.io.kafka.ReadFromKafka] while accessing and updating [Schema Registry|https://docs.confluent.io/platform/current/schema-registry/serdes-develop/serdes-protobuf.html] for sending and reading `protobuf` messages.
> In Java it is possible to achieve [this|https://beam.apache.org/releases/javadoc/2.22.0/org/apache/beam/sdk/io/kafka/KafkaIO.html]:
>  
> {code:java}
>  PCollection<KafkaRecord<Long, GenericRecord>> input = pipeline
>    .apply(KafkaIO.<Long, GenericRecord>read()
>       .withBootstrapServers("broker_1:9092,broker_2:9092")
>       .withTopic("my_topic")
>       .withKeyDeserializer(LongDeserializer.class)
>       // Use Confluent Schema Registry, specify schema registry URL and value subject
>       .withValueDeserializer(
>           ConfluentSchemaRegistryDeserializerProvider.of("http://localhost:8081", "my_topic-value"))
>     ...
> {code}
>  
>  



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