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HDF > Develop Data Flow & Streaming Applications > Hello World

Storm in Trucking IoT on HDF

Deploying the Topology

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Deploying the Topology


Now that we know how to develop a Storm topology, let’s go over how to package it up into a JAR file and deploy it onto a cluster.


Packaging a JAR

In a terminal, navigate to the trucking-iot-demo-storm-on-scala directory and run:


After installing some dependencies, this script runs the command sbt assembly under the hood in order to produce an uber jar, housing your topology and all of the dependencies. The jar is saved to target/scala-2.12/trucking-iot-demo-storm-on-scala-assembly-1.1.0.jar.

Deploying to Storm

If you ran the command in the previous section, then the topology was build and then also deployed.


Feel free to open that script to see what it is doing. Notice that under the hood, it runs a command that looks like the following.

storm jar trucking-iot-demo-storm-on-scala/target/scala-2.12/trucking-iot-demo-storm-on-scala-assembly-1.1.0.jar com.orendainx.trucking.storm.topologies.KafkaToKafka

storm will submit the jar to the cluster. After uploading the jar, storm calls the main function of the class we specified (com.orendainx.trucking.storm.topologies.KafkaToKafka), which deploys the topology by way of the StormSubmitter class.


Congratulations! You now know about the role that Storm plays in a real-time data pipeline and how to create and deploy a topology from scratch.

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