Github user windpiger commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16910#discussion_r102121338
  
    --- Diff: 
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/HiveTableScanExec.scala
 ---
    @@ -139,6 +140,13 @@ case class HiveTableScanExec(
       }
     
       protected override def doExecute(): RDD[InternalRow] = {
    +    val locationPath = new Path(relation.catalogTable.location)
    +    val fs = 
locationPath.getFileSystem(sparkSession.sessionState.newHadoopConf())
    +
    +    // if the table location is not exists, return an empty RDD
    +    if (!fs.exists(locationPath)) {
    +      return new EmptyRDD[InternalRow](sparkSession.sparkContext)
    --- End diff --
    
    I do it here for both non-partition table and partition table,while the 
partition table run well when the location does not exist with 
verifyPartitionPath set true,If we also want to run well when 
verifyPartitionPath set false, we should also do it in 
makeRDDForPartitionTable, then under this situation I do it here for both 
non-partition table and partition table.


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