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Posted to issues@spark.apache.org by "Jacek Laskowski (JIRA)" <ji...@apache.org> on 2017/05/31 09:29:04 UTC

[jira] [Created] (SPARK-20937) Describe spark.sql.parquet.writeLegacyFormat property in Spark SQL, DataFrames and Datasets Guide

Jacek Laskowski created SPARK-20937:
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             Summary: Describe spark.sql.parquet.writeLegacyFormat property in Spark SQL, DataFrames and Datasets Guide
                 Key: SPARK-20937
                 URL: https://issues.apache.org/jira/browse/SPARK-20937
             Project: Spark
          Issue Type: Improvement
          Components: Documentation, SQL
    Affects Versions: 2.3.0
            Reporter: Jacek Laskowski
            Priority: Trivial


As a follow-up to SPARK-20297 (and SPARK-10400) in which {{spark.sql.parquet.writeLegacyFormat}} property was recommended for Impala and Hive, Spark SQL docs for [Parquet Files|https://spark.apache.org/docs/latest/sql-programming-guide.html#configuration] should have it documented.

p.s. It's also covered in [~holden.karau@gmail.com]'s "High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark" book (in Table 3-10. Parquet data source options) that gives the option some wider publicity.



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