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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/03/29 02:06:13 UTC
[GitHub] [spark] eatoncys commented on issue #24238:
[SPARK-27320][SQL]Converting seq to array in AggregationIterator to improve
its access performance
eatoncys commented on issue #24238: [SPARK-27320][SQL]Converting seq to array in AggregationIterator to improve its access performance
URL: https://github.com/apache/spark/pull/24238#issuecomment-477837590
@HyukjinKwon, I constructed a test case that used `for` and `index` to access a list which hive 1000 elements, the result is like below, `calculateWithFor` is 6x faster than `calculateWithIndex`
calculateWithIndex cost: 6813710 ns
calculateWithFor cost: 1257866 ns
`def calculateWithFor(in: Seq[Int]): Array[Int] = {
val result = new Array[Int](in.length)
var i: Int = 0
for (x <- in) {
result(i) = x
i = i + 1
}
result
}
def calculateWithIndex(in: Seq[Int]): Array[Int] = {
val result = new Array[Int](in.length)
val length = in.length
var i: Int = 0
while(i < length) {
result(i) = in(i)
i = i + 1
}
result
}`
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