rdblue commented on code in PR #9582:
URL: https://github.com/apache/iceberg/pull/9582#discussion_r1471690098
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spark/v3.5/spark-extensions/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckViews.scala:
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@@ -36,6 +38,13 @@ object CheckViews extends (LogicalPlan => Unit) {
verifyColumnCount(ident, columnAliases, query)
SchemaUtils.checkColumnNameDuplication(query.schema.fieldNames,
SQLConf.get.resolver)
+ case UnsetViewProperties(ResolvedV2View(catalog, ident), propertyKeys,
ifExists) =>
Review Comment:
Check rules are intended to ensure that SQL is correct and valid, not to
check the execution. If you have this check here, it would fail when you run
`EXPLAIN ALTER VIEW ...` because this is doing execution work (checking for the
property) in the planner. Another way to think about this is that this isn't an
analysis failure, it is a runtime failure due to data. The SQL is perfectly
valid.
This should either be done in `AlterV2ViewExec` or not at all. I would lean
toward not doing this check at all. Shouldn't this be idempotent? Is there
value in failing to remove a property if it isn't there? I don't see value so
I'd ignore this and let the catalog throw an exception if it chooses to.
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