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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/03/16 15:33:00 UTC

[jira] [Commented] (SPARK-34763) col(), $"" and df("name") should handle quoted column names properly.

    [ https://issues.apache.org/jira/browse/SPARK-34763?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17302621#comment-17302621 ] 

Apache Spark commented on SPARK-34763:
--------------------------------------

User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/31854

> col(), $"<name>" and df("name") should handle quoted column names properly.
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-34763
>                 URL: https://issues.apache.org/jira/browse/SPARK-34763
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.7, 3.0.2, 3.2.0, 3.1.1
>            Reporter: Kousuke Saruta
>            Assignee: Kousuke Saruta
>            Priority: Major
>
> Quoted column names like `a``b.c` cannot be represented with col(), $"<name>" and df("") because they don't handle such column names properly.
> For example, if we have a following DataFrame.
> {code}
> val df1 = spark.sql("SELECT 'col1' AS `a``b.c`")
> {code}
> For the DataFrame, this query is successfully executed.
> {code}
> scala> df1.selectExpr("`a``b.c`").show
> +-----+
> |a`b.c|
> +-----+
> | col1|
> +-----+
> {code}
> But the following query will fail because df1("`a``b.c`") throws an exception.
> {code}
> scala> df1.select(df1("`a``b.c`")).show
> org.apache.spark.sql.AnalysisException: syntax error in attribute name: `a``b.c`;
>   at org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute$.e$1(unresolved.scala:152)
>   at org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute$.parseAttributeName(unresolved.scala:162)
>   at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveQuoted(LogicalPlan.scala:121)
>   at org.apache.spark.sql.Dataset.resolve(Dataset.scala:221)
>   at org.apache.spark.sql.Dataset.col(Dataset.scala:1274)
>   at org.apache.spark.sql.Dataset.apply(Dataset.scala:1241)
>   ... 49 elided
> {code}



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