singhpk234 commented on code in PR #17838:
URL: https://github.com/apache/iceberg/pull/17838#discussion_r3874086842
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spark/v3.5/spark-extensions/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveViews.scala:
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@@ -111,16 +113,42 @@ case class ResolveViews(spark: SparkSession) extends
Rule[LogicalPlan] with Look
// Apply the field aliases and column comments
// This logic differs from how Spark handles views in
SessionCatalog.fromCatalogTable.
- // This is more strict because it doesn't allow resolution by field name.
+ // BINDING is more strict because it doesn't allow resolution by field
name.
+ val compensate = viewSchemaMode ==
SparkSQLProperties.VIEW_SCHEMA_MODE_COMPENSATION
val aliases = view.schema.fields.zipWithIndex.map { case (expected, pos) =>
val attr = GetColumnByOrdinal(pos, expected.dataType)
- Alias(UpCast(attr, expected.dataType), expected.name)(explicitMetadata =
- Some(expected.metadata))
+ val cast = if (compensate) {
+ Cast(attr, expected.dataType, ansiEnabled = true)
+ } else {
+ UpCast(attr, expected.dataType)
+ }
+ Alias(cast, expected.name)(explicitMetadata = Some(expected.metadata))
Review Comment:
[doubt] why didn't we add the full view schema compatibilty which spark
supports ?
https://github.com/apache/spark/pull/46267/changes#diff-9dd0899e5406230aeff96654432da54f35255f6dc60eecb87264a5c508a8c826R930
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