[jira] [Resolved] (SPARK-11204) Delegate to scala DataFrame API rather than print in python

["Josh Rosen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen resolved SPARK-11204.
--------------------------------
    Resolution: Duplicate

> Delegate to scala DataFrame API rather than print in python
> -----------------------------------------------------------
>
>                 Key: SPARK-11204
>                 URL: https://issues.apache.org/jira/browse/SPARK-11204
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 1.5.1
>            Reporter: Jeff Zhang
>            Priority: Minor
>
> When I use DataFrame#explain(), I found the output is a little different from scala API. Here's one example.
> {noformat}
> == Physical Plan ==    // this line is removed in pyspark API
> Scan JSONRelation[file:/Users/hadoop/github/spark/examples/src/main/resources/people.json][age#0L,name#1]
> {noformat}
> After looking at the code, I found that pyspark will print the output by itself rather than delegate it to spark-sql. This cause the difference between scala api and python api. I think both python api and scala api try to print it to standard out, so the python api can be deleted to scala api. Here's some api I found that can be delegated to scala api directly:
> * printSchema()
> * explain()
> * show()



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