Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/11658#discussion_r55930362 --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/SQLBuilder.scala --- @@ -54,8 +55,26 @@ class SQLBuilder(logicalPlan: LogicalPlan, sqlContext: SQLContext) extends Loggi def toSQL: String = { val canonicalizedPlan = Canonicalizer.execute(logicalPlan) + val outputNames = logicalPlan.output.map(_.name) + val qualifiers = logicalPlan.output.flatMap(_.qualifiers).distinct + + // Keep the qualifier information by using it as sub-query name, if there is only one qualifier + // present. + val finalName = if (qualifiers.isEmpty || qualifiers.length > 1) { + SQLBuilder.newSubqueryName + } else { + qualifiers.head + } + + // Canonicalizer will remove all naming information, we should add it back by adding an extra + // Project and alias the outputs. + val aliasedOutput = canonicalizedPlan.output.zip(outputNames).map { + case (attr, name) => Alias(attr.withQualifiers(Nil), name)() + } + val finalPlan = Project(aliasedOutput, SubqueryAlias(finalName, canonicalizedPlan)) --- End diff -- Just realized Hive will issue an error when having duplicate names in CREATE VIEW. Thus, I guess we do not need to redo it in Spark? BTW, the top Project could have a duplicate names when creating a view if users specify the schema. For example, ```SQL CREATE VIEW testView(id3, id4) AS SELECT * FROM jt1 JOIN jt2 ON jt1.id1 == jt2.id1 ```
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