PJ Fanning created SPARK-16716:
----------------------------------
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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
