Metadata-only queries should not include subquery in partition filters

        sql("set spark.sql.optimizer.metadataOnly=true")
        sql("CREATE TABLE test_tbl (a INT,d STRING,h STRING) USING PARQUET PARTITIONED BY (d ,h)")
        sql("""
            |INSERT OVERWRITE TABLE test_tbl PARTITION(d,h)
            |SELECT 1,'2020-01-01','23'
            |UNION ALL
            |SELECT 2,'2020-01-02','01'
            |UNION ALL
            |SELECT 3,'2020-01-02','02'
            """.stripMargin)
        sql(
          s"""
             |SELECT d, MAX(h) AS h
             |FROM test_tbl
             |WHERE d= (
             |  SELECT MAX(d) AS d
             |  FROM test_tbl
             |)
             |GROUP BY d
        """.stripMargin).collect()

java.lang.UnsupportedOperationException: Cannot evaluate expression: scalar-subquery#48 []

...
at org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex.prunePartitions(PartitioningAwareFileIndex.scala:180)

Aggregate [d#245], [d#245, max(h#246) AS h#243]
+- Project [d#245, h#246]
   +- Filter (isnotnull(d#245) AND (d#245 = scalar-subquery#242 []))
      :  +- Aggregate [max(d#245) AS d#241]
      :     +- LocalRelation <empty>, [d#245]
      +- Relation[a#244,d#245,h#246] parquet