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From "Xiao Li (JIRA)" <>
Subject [jira] [Commented] (SPARK-24741) Have a built-in AVRO data source implementation
Date Fri, 13 Jul 2018 15:56:01 GMT


Xiao Li commented on SPARK-24741:

Please follow the umbrella JIRA: There
are multiple tasks that are related to your scenario. 

> Have a built-in AVRO data source implementation
> -----------------------------------------------
>                 Key: SPARK-24741
>                 URL:
>             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 ( 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 (, 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

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