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Posted to issues@spark.apache.org by "Wenchen Fan (Jira)" <ji...@apache.org> on 2021/03/12 03:00:00 UTC
[jira] [Resolved] (SPARK-25769) UnresolvedAttribute.sql()
incorrectly escapes nested columns
[ https://issues.apache.org/jira/browse/SPARK-25769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-25769.
---------------------------------
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31754
[https://github.com/apache/spark/pull/31754]
> UnresolvedAttribute.sql() incorrectly escapes nested columns
> ------------------------------------------------------------
>
> Key: SPARK-25769
> URL: https://issues.apache.org/jira/browse/SPARK-25769
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.2
> Reporter: Simeon Simeonov
> Priority: Major
> Fix For: 3.2.0
>
>
> {{UnresolvedAttribute.sql()}} output is incorrectly escaped for nested columns
> {code:java}
> import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
> // The correct output is a.b, without backticks, or `a`.`b`.
> $"a.b".expr.asInstanceOf[UnresolvedAttribute].sql
> // res1: String = `a.b`
> // Parsing is correct; the bug is localized to sql()
> $"a.b".expr.asInstanceOf[UnresolvedAttribute].nameParts
> // res2: Seq[String] = ArrayBuffer(a, b)
> {code}
> The likely culprit is that the {{sql()}} implementation does not check for {{nameParts}} being non-empty.
> {code:java}
> override def sql: String = name match {
> case ParserUtils.escapedIdentifier(_) | ParserUtils.qualifiedEscapedIdentifier(_, _) => name
> case _ => quoteIdentifier(name)
> }
> {code}
>
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