This project has retired. For details please refer to its Attic page.
Spark Structured Streaming MQTT

MQTT is MQTT is a machine-to-machine (M2M)/”Internet of Things” connectivity protocol. It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.

Linking

Using SBT:

libraryDependencies += "org.apache.bahir" %% "spark-streaming-mqtt" % "2.3.3"

Using Maven:

<dependency>
    <groupId>org.apache.bahir</groupId>
    <artifactId>spark-streaming-mqtt_2.11</artifactId>
    <version>2.3.3</version>
</dependency>

This library can also be added to Spark jobs launched through spark-shell or spark-submit by using the --packages command line option. For example, to include it when starting the spark shell:

$ bin/spark-shell --packages org.apache.bahir:spark-streaming-mqtt_2.11:2.3.3

Unlike using --jars, using --packages ensures that this library and its dependencies will be added to the classpath. The --packages argument can also be used with bin/spark-submit.

This library is cross-published for Scala 2.10 and Scala 2.11, so users should replace the proper Scala version (2.10 or 2.11) in the commands listed above.

Configuration options.

This source uses the Eclipse Paho Java Client. Client API documentation is located here.

  • brokerUrl A url MqttClient connects to. Set this as the url of the Mqtt Server. e.g. tcp://localhost:1883.
  • storageLevel By default it is used for storing incoming messages on disk.
  • topic Topic MqttClient subscribes to.
  • topics List of topics MqttClient subscribes to.
  • clientId clientId, this client is assoicated with. Provide the same value to recover a stopped client.
  • QoS The maximum quality of service to subscribe each topic at. Messages published at a lower quality of service will be received at the published QoS. Messages published at a higher quality of service will be received using the QoS specified on the subscribe.
  • username Sets the user name to use for the connection to Mqtt Server. Do not set it, if server does not need this. Setting it empty will lead to errors.
  • password Sets the password to use for the connection.
  • cleanSession Setting it true starts a clean session, removes all checkpointed messages by a previous run of this source. This is set to false by default.
  • connectionTimeout Sets the connection timeout, a value of 0 is interpreted as wait until client connects. See MqttConnectOptions.setConnectionTimeout for more information.
  • keepAlive Same as MqttConnectOptions.setKeepAliveInterval.
  • mqttVersion Same as MqttConnectOptions.setMqttVersion.

Examples

Scala API

You need to extend ActorReceiver so as to store received data into Spark using store(...) methods. The supervisor strategy of this actor can be configured to handle failures, etc.

val lines = MQTTUtils.createStream(ssc, brokerUrl, topic)
val lines = MQTTUtils.createPairedStream(ssc, brokerUrl, topic)
val lines = MQTTUtils.createPairedByteArrayStream(ssc, brokerUrl, topic)

Additional mqtt connection options can be provided:

val lines = MQTTUtils.createStream(ssc, brokerUrl, topic, storageLevel, clientId, username, password, cleanSession, qos, connectionTimeout, keepAliveInterval, mqttVersion)
val lines = MQTTUtils.createPairedStream(ssc, brokerUrl, topics, storageLevel, clientId, username, password, cleanSession, qos, connectionTimeout, keepAliveInterval, mqttVersion)
val lines = MQTTUtils.createPairedByteArrayStream(ssc, brokerUrl, topics, storageLevel, clientId, username, password, cleanSession, qos, connectionTimeout, keepAliveInterval, mqttVersion)

Java API

You need to extend JavaActorReceiver so as to store received data into Spark using store(...) methods. The supervisor strategy of this actor can be configured to handle failures, etc.

JavaDStream<String> lines = MQTTUtils.createStream(jssc, brokerUrl, topic);
JavaReceiverInputDStream<Tuple2<String, String>> lines = MQTTUtils.createPairedStream(jssc, brokerUrl, topics);
JavaReceiverInputDStream<Tuple2<String, String>> lines = MQTTUtils.createPairedByteArrayStream(jssc, brokerUrl, topics);

See end-to-end examples at MQTT Examples

Python API

Create a DStream from a single topic.

	MQTTUtils.createStream(ssc, broker_url, topic)

Create a DStream from a list of topics.

	MQTTUtils.createPairedStream(ssc, broker_url, topics)