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From "Hyukjin Kwon (Jira)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-29664) Column.getItem behavior is not consistent with Scala version
Date Thu, 31 Oct 2019 04:49:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-29664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16963648#comment-16963648
] 

Hyukjin Kwon commented on SPARK-29664:
--------------------------------------

Can we fix Python side to match with Scala side?

> Column.getItem behavior is not consistent with Scala version
> ------------------------------------------------------------
>
>                 Key: SPARK-29664
>                 URL: https://issues.apache.org/jira/browse/SPARK-29664
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.0.0
>            Reporter: Terry Kim
>            Priority: Major
>
> In PySpark, Column.getItem's behavior is different from the Scala version.
> For example,
> In PySpark:
> {code:python}
> df = spark.range(2)
> map_col = create_map(lit(0), lit(100), lit(1), lit(200))
> df.withColumn("mapped", map_col.getItem(col('id'))).show()
> # +---+------+
> # | id|mapped|
> # +---+------+
> # |  0|   100|
> # |  1|   200|
> # +---+------+
> {code}
> In Scala:
> {code:scala}
> val df = spark.range(2)
> val map_col = map(lit(0), lit(100), lit(1), lit(200))
> // The following getItem results in the following exception, which is the right behavior:
> // java.lang.RuntimeException: Unsupported literal type class org.apache.spark.sql.Column
id
> //  at org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:78)
> //  at org.apache.spark.sql.Column.getItem(Column.scala:856)
> //  ... 49 elided
> df.withColumn("mapped", map_col.getItem(col("id"))).show
> // You have to use apply() to match with PySpark's behavior.
> df.withColumn("mapped", map_col(col("id"))).show
> // +---+------+
> // | id|mapped|
> // +---+------+
> // |  0|   100|
> // |  1|   200|
> // +---+------+
> {code}
> Looking at the code for Scala implementation, PySpark's behavior is incorrect since the
argument to getItem becomes `Literal`.



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