[
https://issues.apache.org/jira/browse/SPARK-26314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16714133#comment-16714133
]
Dongjoon Hyun commented on SPARK-26314:
---------------------------------------
One more thing: Apache Spark supports Apache Kafka, not a single vendor's Kafka
distribution, too. That's the simplest way to support all Apache Kafka powered
distributions.
> support Confluent encoded Avro in Spark Structured Streaming
> ------------------------------------------------------------
>
> Key: SPARK-26314
> URL: https://issues.apache.org/jira/browse/SPARK-26314
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.4.0
> Reporter: David Ahern
> Priority: Major
>
> As Avro has now been added as a first class citizen,
> [https://spark.apache.org/docs/latest/sql-data-sources-avro.html]
> please make Confluent encoded avro work out of the box with Spark Structured
> Streaming
> as described in this link, Avro messages on Kafka encoded with confluent
> serializer also need to be decoded with confluent. It would be great if this
> worked out of the box
> [https://developer.ibm.com/answers/questions/321440/ibm-iidr-cdc-db2-to-kafka.html?smartspace=blockchain]
> here are details on the Confluent encoding
> [https://www.sderosiaux.com/articles/2017/03/02/serializing-data-efficiently-with-apache-avro-and-dealing-with-a-schema-registry/#encodingdecoding-the-messages-with-the-schema-id]
> It's been a year since i worked on anything to do with Avro and Spark
> Structured Streaming, but i had to take an approach such as this when getting
> it to work. This is what i used as a reference at that time
> [https://github.com/tubular/confluent-spark-avro]
> Also, here is another link i found that someone has done in the meantime
> [https://github.com/AbsaOSS/ABRiS]
>
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
