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From "PJ Fanning (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SPARK-16716) calling cache on joined dataframe can lead to data being blanked
Date Sat, 13 Aug 2016 02:09:22 GMT

     [ https://issues.apache.org/jira/browse/SPARK-16716?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

PJ Fanning closed SPARK-16716.
------------------------------
    Resolution: Duplicate

This looks like it was fixed by SPARK-16664

> calling cache on joined dataframe can lead to data being blanked
> ----------------------------------------------------------------
>
>                 Key: SPARK-16716
>                 URL: https://issues.apache.org/jira/browse/SPARK-16716
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.2
>            Reporter: PJ Fanning
>
> I have reproduced the issue in Spark 1.6.2 and latest 1.6.3-SNAPSHOT code.
> The code works ok on Spark 1.6.1.
> I have a notebook up on Databricks Community Edition that demonstrates the issue. The
notebook depends on the library com.databricks:spark-csv_2.10:1.4.0
> The code uses some custom code to join 4 dataframes.
> It calls show on this dataframe and the data is as expected.
> After calling .cache, the data is blanked.
> https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/5458351705459939/3760010872339805/5521341683971298/latest.html



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