[
https://issues.apache.org/jira/browse/SPARK-33338?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17369624#comment-17369624
]
Apache Spark commented on SPARK-33338:
--------------------------------------
User 'AngersZhuuuu' has created a pull request for this issue:
https://github.com/apache/spark/pull/33092
> GROUP BY using literal map should not fail
> ------------------------------------------
>
> Key: SPARK-33338
> URL: https://issues.apache.org/jira/browse/SPARK-33338
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2, 2.1.3, 2.2.3, 2.3.4, 2.4.7, 3.0.1, 3.1.0
> Reporter: Dongjoon Hyun
> Assignee: Dongjoon Hyun
> Priority: Major
> Fix For: 2.4.8, 3.0.2, 3.1.0
>
>
> Apache Spark 2.x ~ 3.0.1 raise`RuntimeException` for the following queries.
> *SQL*
> {code}
> CREATE TABLE t USING ORC AS SELECT map('k1', 'v1') m, 'k1' k
> SELECT map('k1', 'v1')[k] FROM t GROUP BY 1
> SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k]
> SELECT map('k1', 'v1')[k] a FROM t GROUP BY a
> {code}
> *ERROR*
> {code}
> Caused by: java.lang.RuntimeException: Couldn't find k#3 in [keys: [k1],
> values: [v1][k#3]#6]
> at scala.sys.package$.error(package.scala:27)
> at
> org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:85)
> at
> org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:79)
> at
> org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
> {code}
> This is a regression from Apache Spark 1.6.x.
> {code}
> scala> sc.version
> res1: String = 1.6.3
> scala> sqlContext.sql("SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1',
> 'v1')[k]").show
> +---+
> |_c0|
> +---+
> | v1|
> +---+
> {code}
--
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
