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https://issues.apache.org/jira/browse/SPARK-11205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jeff Zhang updated SPARK-11205:
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Summary: Match the output of DataFrame#explain() in both scala api and
python (was: Delegate to scala DataFrame API rather than print in python)
> Match the output of DataFrame#explain() in both scala api and python
> --------------------------------------------------------------------
>
> Key: SPARK-11205
> URL: https://issues.apache.org/jira/browse/SPARK-11205
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 1.5.1
> Reporter: Jeff Zhang
> Assignee: Jeff Zhang
> Priority: Minor
> Fix For: 1.6.0
>
>
> 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 delegated to scala api.
> Here's some api I found that can be delegated to scala api directly:
> * printSchema()
> * explain()
> * show()
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