Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-20937

Describe spark.sql.parquet.writeLegacyFormat property in Spark SQL, DataFrames and Datasets Guide

    XMLWordPrintableJSON

Details

    • Improvement
    • Status: Resolved
    • Trivial
    • Resolution: Fixed
    • 2.3.0
    • 2.4.0
    • Documentation, SQL
    • None

    Description

      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 should have it documented.

      p.s. It was asked about in Why can't Impala read parquet files after Spark SQL's write? on StackOverflow today.

      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.

      Attachments

        Activity

          People

            seancxmao Chenxiao Mao
            jlaskowski Jacek Laskowski
            Votes:
            1 Vote for this issue
            Watchers:
            6 Start watching this issue

            Dates

              Created:
              Updated:
              Resolved: