Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10335#issuecomment-165671653
RDD range API:
```
scala> val startTime = System.currentTimeMillis; sc.range(0, 10000000, 1,
15).collect(); val endTime = System.currentTimeMillis; val start = new
Timestamp(startTime); val end = new Timestamp(endTime); val elapsed = (endTime
- startTime)/ 1000.0
startTime: Long = 1450412989642
endTime: Long = 1450412990221
start: java.sql.Timestamp = 2015-12-17 20:29:49.642
end: java.sql.Timestamp = 2015-12-17 20:29:50.221
elapsed: Double = 0.579
scala> val startTime = System.currentTimeMillis; sc.range(0, 10000000, 1,
15).collect(); val endTime = System.currentTimeMillis; val start = new
Timestamp(startTime); val end = new Timestamp(endTime); val elapsed = (endTime
- startTime)/ 1000.0
startTime: Long = 1450412991330
endTime: Long = 1450412991892
start: java.sql.Timestamp = 2015-12-17 20:29:51.33
end: java.sql.Timestamp = 2015-12-17 20:29:51.892
elapsed: Double = 0.562
scala> val startTime = System.currentTimeMillis; sc.range(0, 10000000, 1,
15).collect(); val endTime = System.currentTimeMillis; val start = new
Timestamp(startTime); val end = new Timestamp(endTime); val elapsed = (endTime
- startTime)/ 1000.0
startTime: Long = 1450412995824
endTime: Long = 1450412996666
start: java.sql.Timestamp = 2015-12-17 20:29:55.824
end: java.sql.Timestamp = 2015-12-17 20:29:56.666
elapsed: Double = 0.842
```
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