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https://issues.apache.org/jira/browse/SYSTEMML-668?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-668:
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    Description: 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.  (was: 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 
official 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.)

> 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
>
> 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.



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