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## What changes were proposed in this pull request? 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. [Built-in AVRO Data Source In Spark 2.4.pdf](https://github.com/apache/spark/files/2181511/Built-in.AVRO.Data.Source.In.Spark.2.4.pdf) ## How was this patch tested? Unit test Author: Gengliang Wang <gengliang.wang@databricks.com> Closes #21742 from gengliangwang/export_avro. |
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| build.properties | ||
| MimaBuild.scala | ||
| MimaExcludes.scala | ||
| plugins.sbt | ||
| SparkBuild.scala | ||