owencwl commented on issue #5424:
URL: https://github.com/apache/iceberg/issues/5424#issuecomment-1549324534
I am also facing similar kind of issue with merge into functionality. spark
3.2 + iceberg 0.13.1:
spark-sql:
merge into `spark_catalog`.`default`.`merge_test` as t using (select 1 as
id,'123456' as `data`,'flink1.14.5' as `category`,cast('2016-08-31' as date) as
ts) as s on t.id=s.id
when matched then delete
when not matched then insert *;
spark-error:
Error in query: Project [id#50L, data#51, category#52, ts#53]
+- RowFilterAndDataMaskingMarker
+- RelationV2[id#50L, data#51, category#52, ts#53]
spark_catalog.default.merge_test
is not an Iceberg table
Is it the reason for the temporary table (named s)??
scala-source-code:
org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable
EliminateSubqueryAliases(aliasedTable) match {
case r: DataSourceV2Relation => xxxxxxxx
case p =>
throw new AnalysisException(s"$p is not an Iceberg table")
Why does such a problem arise？？？？
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