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From "Gengliang Wang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-24768) Have a built-in AVRO data source implementation
Date Tue, 10 Jul 2018 17:23:00 GMT

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

Gengliang Wang updated SPARK-24768:
-----------------------------------
    Attachment: Design doc-Spark Avro.pdf

> 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: Design doc-Spark Avro.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, 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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