[SPARK-24741] Have a built-in AVRO data source implementation

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 2.4.0
• Component/s: SQL, Structured Streaming
• Target Version/s: 2.4.0
• Assignee: Gengliang Wang
• Reporter: Xiao Li
• Created: 05/Jul/18 00:26
• Updated: 13/Jul/18 15:55
• Resolved: 12/Jul/18 20:58

Description

Apache Avro (https://avro.apache.org) is a data serialization format. It is widely used in the Spark and Hadoop ecosystem, especially for Kafka-based data pipelines. Using Spark-Avro 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. We should consider inlining https://github.com/databricks/spark-avro.

Issue Links

• Is contained by: SPARK-24768 Have a built-in AVRO data source implementation