[jira] [Assigned] (SPARK-31895) df.explain("mode") should work in PySpark side as well for consistency

["Apache Spark (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-31895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-31895:
------------------------------------

    Assignee:     (was: Apache Spark)

> df.explain("mode") should work in PySpark side as well for consistency
> ----------------------------------------------------------------------
>
>                 Key: SPARK-31895
>                 URL: https://issues.apache.org/jira/browse/SPARK-31895
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.0.0
>            Reporter: Hyukjin Kwon
>            Priority: Major
>
> Scala:
> {code}
> scala> spark.range(10).explain("cost")
> == Optimized Logical Plan ==
> Range (0, 10, step=1, splits=Some(12)), Statistics(sizeInBytes=80.0 B)
> == Physical Plan ==
> *(1) Range (0, 10, step=1, splits=12)
> {code}
> PySpark:
> {code}
> >>> spark.range(10).explain("cost")
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "/.../spark/python/pyspark/sql/dataframe.py", line 333, in explain
>     raise TypeError(err_msg)
> TypeError: extended (optional) should be provided as bool, got <class 'str'>
> {code}



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