Pulsar adaptor for Apache Spark
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Spark structured streaming connectorPulsar 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.
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Spark streaming connectorThe 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.
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PrerequisitesTo use the receiver, include a dependency for the pulsar-spark
library in your Java configuration.
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MavenIf 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>
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GradleIf 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}
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UsagePass 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.
Note that if needed, other Pulsar authentication classes can be used. For example, in order to use a token during authentication the following parameters for the SparkStreamingPulsarReceiver
constructor can be set:
SparkStreamingPulsarReceiver pulsarReceiver = new SparkStreamingPulsarReceiver( serviceUrl, pulsarConf, new AuthenticationToken("token:<secret-JWT-token>"));