[SPARK-1837] NumericRange should be partitioned in the same way as other sequences

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.0.0
• Fix Version/s: 1.1.0
• Component/s: Spark Core
• Assignee: Kan Zhang
• Reporter: Kan Zhang
• Created: 14/May/14 21:23
• Updated: 14/Jun/14 21:32
• Resolved: 14/Jun/14 21:32

Description

Otherwise, RDD.zip() would behave unexpectedly. For example, as given in SPARK-1817:

scala> sc.parallelize(1L to 2L,4).zip(sc.parallelize(11 to 12,4)).collect
res1: Array[(Long, Int)] = Array((2,11))

Issue Links

• is depended upon by: SPARK-1817 RDD zip erroneous when partitions do not divide RDD count