[
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`.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
