Apache Spark is a unified analytics engine known for its speed and ease of use in handling big data processing tasks. This introductory guide will walk you through the basics of setting up Spark for your data analytics projects.
Basic Code Example: Running a simple Spark job in Scala
import org.apache.spark.sql.SparkSession
object SimpleSparkJob {
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder()
.appName("Simple Application")
.config("spark.master", "local")
.getOrCreate()
val data = Array(1, 2, 3, 4, 5)
val distData = spark.sparkContext.parallelize(data)
distData.foreach(println)
spark.stop()
}
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