Fix the data issue of inserted DPP on non-atomic type

 spark.range(1000)
 .select(col("id"), col("id").as("k"))
 .write
 .partitionBy("k")
 .format("parquet")
 .mode("overwrite")
 .saveAsTable("df1");

spark.range(100)
 .select(col("id"), col("id").as("k"))
 .write
 .partitionBy("k")
 .format("parquet")
 .mode("overwrite")
 .saveAsTable("df2")

spark.sql("set spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio=2")
spark.sql("set spark.sql.optimizer.dynamicPartitionPruning.reuseBroadcastOnly=false")
spark.sql("SELECT df1.id, df2.k FROM df1 JOIN df2 ON struct(df1.k) = struct(df2.k) AND df2.id < 2").show