[SparkSQL] java.lang.UnsupportedOperationException when hive partition doesn't exist and order by and limit are used

create table if not exists testTable (ID1 BIGINT, ID2 BIGINT,Start_Time STRING, End_Time STRING) PARTITIONED BY (Region STRING,Market STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
STORED AS TEXTFILE;

1,2,"2014-11-01","2014-11-02"
2,3,"2014-11-01","2014-11-02"
3,4,"2014-11-01","2014-11-02"

LOAD DATA LOCAL INPATH '/tmp/input.txt' OVERWRITE INTO TABLE testTable PARTITION (Region="North", market='market1');

SELECT * FROM testTable WHERE market = 'market2' ORDER BY End_Time DESC LIMIT 100;


Error trace
java.lang.UnsupportedOperationException: empty collection
	at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:863)
	at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:863)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.reduce(RDD.scala:863)
	at org.apache.spark.rdd.RDD.takeOrdered(RDD.scala:1136)
	at org.apache.spark.sql.execution.TakeOrdered.executeCollect(basicOperators.scala:171)
	at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:438)