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  1. Spark
  2. SPARK-24768

Have a built-in AVRO data source implementation

    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.4.0
    • Fix Version/s: 2.4.0
    • 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.  

        Attachments

        1.
        Add function `from_avro` and `to_avro` Sub-task Resolved Gengliang Wang
        2.
        Upgrade AVRO version from 1.7.7 to 1.8.2 Sub-task Resolved Gengliang Wang
        3.
        support reading AVRO logical types - Date Sub-task Resolved Gengliang Wang
        4.
        support reading AVRO logical types - Timestamp with different precisions Sub-task Resolved Gengliang Wang
        5.
        support reading AVRO logical types - Decimal Sub-task Resolved Gengliang Wang
        6.
        support reading AVRO logical types - Duration Sub-task Resolved Unassigned
        7.
        AVRO unit test: use SQLTestUtils and Replace deprecated methods Sub-task Resolved Gengliang Wang
        8.
        Add write benchmark for AVRO Sub-task Resolved Gengliang Wang
        9.
        Add API `.avro` in DataFrameReader/DataFrameWriter Sub-task Resolved Unassigned
        10.
        Refactor Avro Serializer and Deserializer Sub-task Resolved Gengliang Wang
        11.
        Don't ignore files without .avro extension by default Sub-task Resolved Maxim Gekk
        12.
        Fix paths to resource files in AvroSuite Sub-task Resolved Maxim Gekk
        13.
        Support for parsing AVRO binary column Sub-task Resolved Unassigned
        14.
        Supporting to convert a column into binary of AVRO format Sub-task Resolved Unassigned
        15.
        New option - ignoreExtension Sub-task Resolved Maxim Gekk
        16.
        Gather all options into AvroOptions Sub-task Resolved Maxim Gekk
        17.
        Simplify schema serialization Sub-task Resolved Gengliang Wang
        18.
        New options - compression and compressionLevel Sub-task Resolved Maxim Gekk
        19.
        Remove implicit class AvroDataFrameWriter/AvroDataFrameReader Sub-task Resolved Gengliang Wang
        20.
        Use SerializableConfiguration in Spark util Sub-task Resolved Gengliang Wang
        21.
        Add mapping for built-in Avro data source Sub-task Resolved Dongjoon Hyun
        22.
        Use internal.Logging instead for logging Sub-task Resolved Hyukjin Kwon
        23.
        Avro: revise the output record namespace Sub-task Resolved Gengliang Wang
        24.
        Generate Avro Binary files in test suite Sub-task Resolved Gengliang Wang
        25.
        Validate user specified output schema Sub-task Resolved Gengliang Wang
        26.
        Make the mapping of com.databricks.spark.avro to built-in module configurable Sub-task Resolved Unassigned
        27.
        Documentaion: AVRO data source guide Sub-task Resolved Gengliang Wang
        28.
        Remove sql configuration spark.sql.avro.outputTimestampType Sub-task Resolved Gengliang Wang
        29.
        Detect recursive reference in Avro schema and throw exception Sub-task Resolved Gengliang Wang
        30.
        Support parse mode option for function `from_avro` Sub-task Resolved Gengliang Wang
        31.
        Override method `prettyName` in `from_avro`/`to_avro` Sub-task Resolved Gengliang Wang
        32.
        Add read benchmark for Avro Sub-task Resolved Gengliang Wang

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            People

            • Assignee:
              Gengliang.Wang Gengliang Wang
              Reporter:
              Gengliang.Wang Gengliang Wang
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              Dates

              • Created:
                Updated:
                Resolved: