December 2016
Beginner to intermediate
392 pages
8h 13m
English
Content preview from Apache Spark for Data Science CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Simulating real-time data
In this recipe, we'll see how to simulate real-time data.
Getting ready
To step through this recipe, you will need Kafka and Zookeeper running on the cluster. Install Scala and Java.
How to do it…
- Since the data is available in files, let's simulate the data in real time using a producer which writes the data into Kafka. Here is the code:
import java.util.{Date, Properties} import kafka.javaapi.producer.Producer import kafka.producer.KeyedMessage import kafka.producer.ProducerConfig import org.apache.spark.mllib.linalg.Vectors import scala.io.{BufferedSource, Source} import scala.util.Random object KafkaProducer { def main(args:Array[String]): Unit ={ val random:Random = new Random val props = new Properties props.put("metadata.broker.list","172.22.128.16:9092") ...
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