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Apache Storm Java Example: Java Explained

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Apache Storm is an open-source distributed stream processing system that has gained a lot of traction in recent years. It is used in a wide variety of applications, from data processing pipelines to machine learning to real-time analytics. As such, it’s important for developers to learn how to use Storm to quickly develop powerful applications. One great way to do this is by learning to write topology applications with Java.

This article will walk you through all the steps needed to create an effective Apache Storm Java example application. We will cover the basics of the Java language, install and set up Apache Storm, and construct a simple Java program. Then, we will teach you how to work with the Storm topology and write code in Java. We’ll also review how to submit your topology to the cluster, configure Apache Storm for maximum performance, and debug your topology.

What is Apache Storm?

Apache Storm is a distributed real-time data processing platform developed by the Apache Software Foundation. It uses a topology based approach to ingest massive amounts of data from many sources and process it quickly in parallel. Users write “spouts”, which receive incoming data from the sources, and “bolts”, which process the data and output it according to their logic.

Storm was originally written in Clojure but now includes support for other JVM languages such as Java and Scala. This makes Apache Storm an attractive choice for building real-time stream processing applications.

Apache Storm is highly scalable and fault-tolerant, making it an ideal choice for applications that require high throughput and low latency. It also supports a wide range of programming languages, making it easy to integrate with existing systems. Additionally, Apache Storm is open source and free to use, making it a great choice for businesses of all sizes.

Understanding the Java Language

Before you can start writing code for Apache Storm in Java, you must first understand the fundamentals of the Java language. If you already know Java, then you can skip this section. If not, here are some quick basics about this popular programing language:

  • Java is an object-oriented programming language developed by Sun Microsystems for use in web applications.
  • It can be used to create a wide variety of programs from client-side applications like Android apps to server-side applications like web servers.
  • The syntax of Java is very similar to other C-style languages like C++ and C#, making it easy to pick up if you’ve worked with one of these languages before.
  • Unlike other languages, Java is “bytecode-compiled” meaning all code must go through a compilation process before it can be executed. This makes it fast and reliable.

Once you understand the basics of the Java programming language, you can move on to setting up and running the Apache Storm platform.

In addition to the syntax, it is important to understand the Java Virtual Machine (JVM). The JVM is the environment in which Java code is executed. It is responsible for managing memory, garbage collection, and other tasks. Understanding the JVM is essential for writing efficient and reliable code in Java.

Installing Apache Storm

Before you can begin writing an Apache Storm Java application, you must first install and configure the Apache Storm platform. To do this, you need an environment capable of running Java 6 or higher, as well as an Apache Maven build tool. You can then download and install Apache Storm from its official website.

Once the installation is complete, you will be able to run an example topology by executing the command “storm jar”. This will launch an example topology for you to experiment with.

You can also use the Apache Storm UI to monitor the performance of your topology. The UI provides a graphical representation of the topology, including the number of tasks, the number of workers, and the latency of each task. This can be a useful tool for debugging and optimizing your topology.

Building a Simple Java Program

Now that Apache Storm is installed and running, you can start writing a simple topology application using Java. The application can be broken down into a few simple steps:

  • Create a new Java project in your preferred IDE.
  • Add any necessary dependencies to your project.
  • Define the classes and interfaces needed for your Java application.
  • Write the code for your application.
  • Compile and test your application.
  • Package your application as a jar file and submit it to the cluster.

Following these steps will give you a basic Apache Storm Java project that is ready to be deployed to the cluster.

Working with the Apache Storm Topology

The next step is to write a topology in Java that uses the data received from the spouts, processes it according to logic defined by the bolts, and outputs results. To do this, you will need to understand the concepts of tuples and streams as well as commonly used interfaces such as IRichSpout and IRichBolt. Once you understand these concepts, you are ready to create your first topology.

Writing a Topology in Java

Once you understand the basics of the Storm topology, it’s time to start writing your own topology in Java. You will need to define the set of spouts and bolts that make up your topology as well as their specific behavior. This behavior could include things like passing data between components or using conditions to filter or aggregate data.

Once you have written your topology, you can compile it into a jar file and test it before submitting it to the cluster.

Submitting Your Topology to the Cluster

Once you have tested your topology application locally, it’s time to submit it to the cluster. You can do this using the command “storm submit”. This will deploy your application to the cluster where it will be executed according to the logic you have defined.

If you want to monitor the performance of your topology in real-time, you will need to set up a Storm Nimbus server to manage your topologies. This server can be used to analyze data about running tasks and even modify a topology mid-execution if necessary.

Configuring Apache Storm for Maximum Performance

In order to get maximum performance out of your Apache Storm application, you need to properly configure certain system settings such as worker resources (e.g. CPU, RAM), number of workers, spout parallelism, etc. Depending on your use case, you may need to adjust these settings in order to achieve maximum performance.

It is always a good idea to do some load testing before launching your application on production systems as this will allow you to tweak settings in order to optimize performance.

Debugging Your Topology in Java

As with any programming language, debugging can often be tricky. Thankfully, Apache Storm includes helpful integration tools like VisualVM which allow developers to track performance data and identify issues quickly. You can also make use of Log4j and other popular libraries to write custom logging code which can help in debugging complex issues.


Using Apache Storm’s support for Java makes it easy for developers to create powerful stream processing applications quickly. We have gone through all the steps needed to build a simple Apache Storm Java application from installing Apache Storm to debugging your code. Following these steps should give you a solid foundation for creating more complex applications in the future.

Sarang Sharma

Sarang Sharma

Sarang Sharma is Software Engineer at Bito with a robust background in distributed systems, chatbots, large language models (LLMs), and SaaS technologies. With over six years of experience, Sarang has demonstrated expertise as a lead software engineer and backend engineer, primarily focusing on software infrastructure and design. Before joining Bito, he significantly contributed to Engati, where he played a pivotal role in enhancing and developing advanced software solutions. His career began with foundational experiences as an intern, including a notable project at the Indian Institute of Technology, Delhi, to develop an assistive website for the visually challenged.

Written by developers for developers

This article was handcrafted with by the Bito team.

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