Spark Streaming Demo
import org.apache.spark.streaming._import org.apache.spark.streaming.StreamingContext._
import org.apache.spark.api.java.function._
import org.apache.spark.streaming.api._
// Create a StreamingContext with a local master
// Spark Streaming needs at least two working thread
val ssc = new StreamingContext("local", "NetworkWordCount", Seconds(1))
// Create a DStream that will connect to serverIP:serverPort, like localhost:9999
val lines = ssc.socketTextStream("localhost", 9999)
// Split each line into words
val words = lines.flatMap(_.split(" "))
// Count each word in each batch
val pairs = words.map(word => (word, 1))
val wordCounts = pairs.reduceByKey(_ + _)
// Print a few of the counts to the console
wordCounts.print()
ssc.start() // Start the computation
ssc.awaitTermination()// Wait for the computation to terminate
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