---

id: adaptors-spark title: Pulsar adaptor for Apache Spark sidebar_label: Apache Spark

Spark structured streaming connector

Pulsar Spark Connector is an integration of Apache Pulsar and Apache Spark (data processing engine), which allows Spark reading data from Pulsar and writing data to Pulsar using Spark structured streaming and Spark SQL and provides exactly-once source semantics and at-least-once sink semantics. For details, refer to Pulsar Spark Connector in StreamNative Hub.

Spark streaming connector

The Spark Streaming receiver 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>{{pulsar:version}}</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 = "{{pulsar:version}}"

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

Usage

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

    String serviceUrl = "pulsar://localhost:6650/";
    String topic = "persistent://public/default/test_src";
    String subs = "test_sub";

    SparkConf sparkConf = new SparkConf().setMaster("local[*]").setAppName("Pulsar Spark Example");

    JavaStreamingContext jsc = new JavaStreamingContext(sparkConf, Durations.seconds(60));

    ConsumerConfigurationData<byte[]> pulsarConf = new ConsumerConfigurationData();

    Set<String> set = new HashSet<>();
    set.add(topic);
    pulsarConf.setTopicNames(set);
    pulsarConf.setSubscriptionName(subs);

    SparkStreamingPulsarReceiver pulsarReceiver = new SparkStreamingPulsarReceiver(
        serviceUrl,
        pulsarConf,
        new AuthenticationDisabled());

    JavaReceiverInputDStream<byte[]> lineDStream = jsc.receiverStream(pulsarReceiver);

For a complete example, click here. In this example, the number of messages that contain the string “Pulsar” in received messages is counted.