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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2015/09/24 18:34:04 UTC
[jira] [Created] (SPARK-10803) Allow users to write and query
Parquet user-defined key-value metadata directly
Cheng Lian created SPARK-10803:
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Summary: Allow users to write and query Parquet user-defined key-value metadata directly
Key: SPARK-10803
URL: https://issues.apache.org/jira/browse/SPARK-10803
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 1.5.0, 1.4.1, 1.3.1, 1.2.2, 1.1.1, 1.0.2
Reporter: Cheng Lian
Currently Spark SQL only allows users to set and get per-column metadata of a DataFrame. This metadata can be then persisted to Parquet as part of Catalyst schema information contained in the user-defined key-value metadata. It would be nice if we can allow users to write and query Parquet user-defined key-value metadata directly. Or maybe a more general way to allow DataFrame level (rather than column level) metadata.
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