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https://issues.apache.org/jira/browse/SPARK-24741?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16542207#comment-16542207
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Xiao Li commented on SPARK-24741:
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[~mn-mikke] So far, we do not have a plan to improve the interoperability with
Confluent schema registry. Adding the dependency to schema registry might be
not a good idea.
I am not familiar with ABRiS. If you have some good idea to improve the data
source of AVRO. Welcome your contributions.
> Have a built-in AVRO data source implementation
> -----------------------------------------------
>
> Key: SPARK-24741
> URL: https://issues.apache.org/jira/browse/SPARK-24741
> Project: Spark
> Issue Type: New Feature
> Components: SQL, Structured Streaming
> Affects Versions: 2.4.0
> Reporter: Xiao Li
> Assignee: Gengliang Wang
> Priority: Major
>
> Apache Avro (https://avro.apache.org) is a data serialization format. It is
> widely used in the Spark and Hadoop ecosystem, especially for Kafka-based
> data pipelines. Using Spark-Avro package
> (https://github.com/databricks/spark-avro), Spark SQL can read and write the
> avro data. Making spark-Avro built-in can provide a better experience for
> first-time users of Spark SQL and structured streaming. We expect the
> built-in Avro data source can further improve the adoption of structured
> streaming. We should consider inlining
> https://github.com/databricks/spark-avro.
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