Spark Streaming Pulsar receiver


The Spark Streaming recevier for Pulsar is a custom receiver that enables Apache Spark Streaming to receive data from Pulsar.

An application can receive data in Resilient Distributed Dataset (RDD) format via the Spark Streaming Pulsar receiver and can process it in a variety of ways.

Prerequisites

To use the receiver, include a dependency for the pulsar-spark library in your Java configuration.

Maven

If you’re using Maven, add this to your pom.xml:

<!-- in your <properties> block -->
<pulsar.version>1.19.0-incubating</pulsar.version>

<!-- in your <dependencies> block -->
<dependency>
  <groupId>org.apache.pulsar</groupId>
  <artifactId>pulsar-spark</artifactId>
  <version>${pulsar.version}</version>
</dependency>

Gradle

If you’re using Gradle, add this to your build.gradle file:

def pulsarVersion = "1.19.0-incubating"

dependencies {
    compile group: 'org.apache.pulsar', name: 'pulsar-spark', version: pulsarVersion
}

Usage

Pass an instance of SparkStreamingPulsarReceiver to the receiverStream method in JavaStreamingContext:

SparkConf conf = new SparkConf().setMaster("local[*]").setAppName("pulsar-spark");
JavaStreamingContext jssc = new JavaStreamingContext(conf, Durations.seconds(5));

ClientConfiguration clientConf = new ClientConfiguration();
ConsumerConfiguration consConf = new ConsumerConfiguration();
String url = "pulsar://localhost:6650/";
String topic = "persistent://sample/standalone/ns1/topic1";
String subs = "sub1";

JavaReceiverInputDStream<byte[]> msgs = jssc
        .receiverStream(new SparkStreamingPulsarReceiver(clientConf, consConf, url, topic, subs));

Example

You can find a complete example here. In this example, the number of messages which contain the string “Pulsar” in received messages is counted.