[jira] [Created] (SPARK-16716) calling cache on joined dataframe can lead to data being blanked

["PJ Fanning (JIRA)" <ji...@apache.org>]

PJ Fanning created SPARK-16716:
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             Summary: 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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