26.4. Creating and Using DStreams

DStreams represent a continuous stream of data, and are internally represented by a continuous series of RDDs, with each RDD containing data from a specific time interval.
To create a DStream a StreamingContext will be passed in along with StorageLevel and the JBoss Data Grid RDD configuration, as seen in the below example:

Example 26.7. Creating a DStream (Scala)

import org.infinispan.spark.stream._
import org.apache.spark.streaming.{Seconds, StreamingContext}
import org.apache.spark.storage.StorageLevel
import java.util.Properties

// Spark context
val sc = ... 
// java.util.Properties with Infinispan RDD configuration
val props = ... 
val ssc = new StreamingContext(sc, Seconds(1))

val stream = new InfinispanInputDStream[String, Book](ssc, StorageLevel.MEMORY_ONLY, props)
The InfinispanInputDStream can be transformed using the many Spark's DStream operations, and the processing will occur after calling "start" in the StreamingContext. For example, to display every 10 seconds the number of books inserted in the cache in the last 30 seconds:

Example 26.8. Processing a DStream (Scala)

import org.infinispan.spark.stream._

val stream = ... // From previous sample

// Filter only created entries
val createdBooksRDD = stream.filter { case (_, _, t) => t == Type.CLIENT_CACHE_ENTRY_CREATED }

// Reduce last 30 seconds of data, every 10 seconds
val windowedRDD: DStream[Long] = createdBooksRDD.count().reduceByWindow(_ + _, Seconds(30), Seconds(10))

// Prints the results, couting the number of occurences in each individual RDD
windowedRDD.foreachRDD { rdd => println(rdd.reduce(_ + _)) }

// Start the processing

Writing to JBoss Data Grid with DStreams

Any DStream of Key/Value type can be written to JBoss Data Grid through the InfinispanJavaDStream.writeToInfinispan() Java method or in Scala using the implicit writeToInfinispan(properties) method directly on the DStream instance. Both methods take the JBoss Data Grid RDD configuration as input and will write each RDD contained within the DStream