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Posted to issues@spark.apache.org by "Yuming Wang (Jira)" <ji...@apache.org> on 2022/10/05 01:52:00 UTC
[jira] [Created] (SPARK-40660) Switch XORShiftRandom to distribute elements
Yuming Wang created SPARK-40660:
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Summary: Switch XORShiftRandom to distribute elements
Key: SPARK-40660
URL: https://issues.apache.org/jira/browse/SPARK-40660
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.4.0
Reporter: Yuming Wang
{code:scala}
import java.util.Random
import org.apache.spark.util.random.XORShiftRandom
import scala.util.hashing
def distribution(count: Int, partition: Int) = {
println((1 to count).map(partitionId => new Random(partitionId).nextInt(partition))
.groupBy(f => f)
.map(_._2.size).mkString(". "))
println((1 to count).map(partitionId => new Random(hashing.byteswap32(partitionId)).nextInt(partition))
.groupBy(f => f)
.map(_._2.size).mkString(". "))
println((1 to count).map(partitionId => new XORShiftRandom(partitionId).nextInt(partition))
.groupBy(f => f)
.map(_._2.size).mkString(". "))
}
distribution(200, 4)
{code}
{noformat}
200
50. 60. 46. 44
55. 48. 43. 54
{noformat}
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