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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/07/10 17:44:00 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=16539015#comment-16539015 ]
Apache Spark commented on SPARK-24768:
--------------------------------------
User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/21742
> 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
> Priority: Major
> 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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