szehon-ho commented on code in PR #54411:
URL: https://github.com/apache/spark/pull/54411#discussion_r2842919733
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sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2DataFrameSessionCatalogSuite.scala:
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@@ -108,6 +108,19 @@ class InMemoryTableSessionCatalog extends
TestV2SessionCatalogBase[InMemoryTable
}
override def loadTable(ident: Identifier): Table = {
+ // Check for metadata table pattern: namespace = [db, tableName], name =
"snapshots"
+ // This simulates how Iceberg handles metadata tables like
db.table.snapshots
+ if (ident.name() == "snapshots" && ident.namespace().length >= 1) {
Review Comment:
done. In Iceberg, it catch the Iceberg NoSuchTableException.
one small difference, our test V2SessionCatalog is not as strong , so I end
up catching AnalysisException, else we have to implement all the wrappers.
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