Xiao Li commented on SPARK-24741:

[~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.

This message was sent by Atlassian JIRA

To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to