Reputation: 197
How to generate large(million) no of records with multiple fields in spark.I don't read data from file but the data will be random generated data.From that data I want to create RDD.
Upvotes: 2
Views: 1667
Reputation: 4623
You can take reference from Random data generation provided by the spark.
RandomRDDs
provides factory methods to generate random double RDDs or vector RDDs.
import org.apache.spark.SparkContext
import org.apache.spark.mllib.random.RandomRDDs._
val sc: SparkContext = ...
// Generate a random double RDD that contains 1 million i.i.d. values drawn from the
// standard normal distribution `N(0, 1)`, evenly distributed in 10 partitions.
val u = normalRDD(sc, 1000000L, 10)
// Apply a transform to get a random double RDD following `N(1, 4)`.
val v = u.map(x => 1.0 + 2.0 * x)
Upvotes: 3