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Apache Spark commented on SPARK-5528: ------------------------------------- User 'liancheng' has created a pull request for this issue: https://github.com/apache/spark/pull/4308 > Support schema merging while reading Parquet files > -------------------------------------------------- > > Key: SPARK-5528 > URL: https://issues.apache.org/jira/browse/SPARK-5528 > Project: Spark > Issue Type: Improvement > Reporter: Cheng Lian > > Spark 1.2.0 and prior versions only reads Parquet schema from {{_metadata}} > or a random Parquet part-file, and assumes all part-files share exactly the > same schema. > In practice, it's common that users append new columns to existing Parquet > schema. Parquet has native schema merging support for such scenarios. Spark > SQL should also support this. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org