Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10335#issuecomment-165671763
New range API using logical/physical operators:
```
scala> val startTime = System.currentTimeMillis; sqlContext.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 = 1450413004393
endTime: Long = 1450413022682
start: java.sql.Timestamp = 2015-12-17 20:30:04.393
end: java.sql.Timestamp = 2015-12-17 20:30:22.682
elapsed: Double = 18.289
scala> val startTime = System.currentTimeMillis; sqlContext.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 = 1450413029542
endTime: Long = 1450413050828
start: java.sql.Timestamp = 2015-12-17 20:30:29.542
end: java.sql.Timestamp = 2015-12-17 20:30:50.828
elapsed: Double = 21.286
scala> val startTime = System.currentTimeMillis; sqlContext.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 = 1450413052748
endTime: Long = 1450413072478
start: java.sql.Timestamp = 2015-12-17 20:30:52.748
end: java.sql.Timestamp = 2015-12-17 20:31:12.478
elapsed: Double = 19.73
```
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