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Posted to issues@spark.apache.org by "Terry Kim (Jira)" <ji...@apache.org> on 2019/10/30 17:00:00 UTC
[jira] [Commented] (SPARK-29664) Column.getItem behavior is not
consistent with Scala version
[ https://issues.apache.org/jira/browse/SPARK-29664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16963222#comment-16963222 ]
Terry Kim commented on SPARK-29664:
-----------------------------------
[~hyukjin.kwon], is there a reason why getItem's behavior is not consistent? If this behavior is a bug, I will prepare a PR shortly.
> 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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