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  1. Spark
  2. SPARK-24768

Have a built-in AVRO data source implementation

    Details

    • Type: New Feature
    • Status: In Progress
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: 2.4.0
    • Fix Version/s: None
    • Component/s: SQL
    • Labels:
      None

      Description

      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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              • Assignee:
                Unassigned
                Reporter:
                Gengliang.Wang Gengliang Wang
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                • Created:
                  Updated: