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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/09/17 05:26:00 UTC

[jira] [Resolved] (SPARK-24768) Have a built-in AVRO data source implementation

     [ https://issues.apache.org/jira/browse/SPARK-24768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li resolved SPARK-24768.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 2.4.0

> Have a built-in AVRO data source implementation
> -----------------------------------------------
>
>                 Key: SPARK-24768
>                 URL: https://issues.apache.org/jira/browse/SPARK-24768
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Gengliang Wang
>            Assignee: Gengliang Wang
>            Priority: Major
>             Fix For: 2.4.0
>
>         Attachments: Built-in AVRO Data Source In Spark 2.4.pdf
>
>
> Apache Avro (https://avro.apache.org) is a popular data serialization format. It is widely used in the Spark and Hadoop ecosystem, especially for Kafka-based data pipelines.  Using the external 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. The proposal is to inline code from spark-avro package ([https://github.com/databricks/spark-avro]). The target release is Spark 2.4.  



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