[
https://issues.apache.org/jira/browse/SYSTEMML-668?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mike Dusenberry resolved SYSTEMML-668.
--------------------------------------
Resolution: Fixed
Fix Version/s: SystemML 0.10
> Python MLOutput.getDF() Can't Access JVM SQLContext
> ---------------------------------------------------
>
> Key: SYSTEMML-668
> URL: https://issues.apache.org/jira/browse/SYSTEMML-668
> Project: SystemML
> Issue Type: Bug
> Reporter: Mike Dusenberry
> Assignee: Mike Dusenberry
> Priority: Minor
> Fix For: SystemML 0.10
>
>
> In PySpark, access to the JVM SQLContext from a PySpark SQLContext instance
> -has changed from {{sqlContext._scala_SQLContext}} to
> {{sqlContext._ssql_ctx}}- has always been officially exposed via
> {{sqlContext._ssql_ctx}}. However, we have been using an unofficial
> variable, {{sqlContext._scala_SQLContext}}, which has been renamed in 2.0,
> breaking any previous code using the former construct, such as our Python
> {{MLOutput.getDF(...)}} method. Therefore, we just need to update our
> PySpark API to use the official access point.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
