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


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

> Have a built-in AVRO data source implementation
> -----------------------------------------------
>                 Key: SPARK-24768
>                 URL:
>             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 ( 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://
The target release is Spark 2.4.

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