nastra commented on code in PR #9423:
URL: https://github.com/apache/iceberg/pull/9423#discussion_r1466150091
##########
spark/v3.5/spark-extensions/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveViews.scala:
##########
@@ -59,6 +61,32 @@ case class ResolveViews(spark: SparkSession) extends
Rule[LogicalPlan] with Look
loadView(catalog, ident)
.map(_ => ResolvedV2View(catalog.asViewCatalog, ident))
.getOrElse(u)
+
+ case c@CreateIcebergView(ResolvedIdentifier(_, ident), _, query,
columnAliases, columnComments, _, _, _, _, _,
+ rewritten)
+ if query.resolved && !rewritten =>
+ val rewritten = rewriteIdentifiers(query, ident.asMultipartIdentifier)
+ val aliasedPlan = aliasPlan(rewritten, columnAliases, columnComments)
+ c.copy(query = aliasedPlan, queryColumnNames = query.schema.fieldNames,
rewritten = true)
+ }
+
+ private def aliasPlan(
+ analyzedPlan: LogicalPlan,
+ columnAliases: Seq[String],
+ columnComments: Seq[Option[String]]): LogicalPlan = {
+ if (columnAliases.isEmpty || columnAliases.length !=
analyzedPlan.output.length) {
+ analyzedPlan
Review Comment:
I agree, having the length check being done only in `CheckViews` would be
ideal and the only reason why I'm checking `columnAliases.length !=
analyzedPlan.output.length` here is so that we can properly fail in
`CheckViews` (which gets called after `ResolveViews`) where a better error
message is thrown.
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