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Posted to issues@spark.apache.org by "PJ Fanning (JIRA)" <ji...@apache.org> on 2016/08/13 02:09:22 UTC
[jira] [Closed] (SPARK-16716) calling cache on joined dataframe can
lead to data being blanked
[ 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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