rakesh-tmdc commented on issue #5424:
URL: https://github.com/apache/iceberg/issues/5424#issuecomment-2139259265
> 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？？？？
https://stackoverflow.com/questions/73424454/spark-iceberg-merge-into-issue-caused-by-org-apache-spark-sql-analysisexcep
I ran into same issue, try this.
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