Real-time Data Processing with Hazelcast Jet
Last updated August 17, 2024
Hazelcast Jet is a powerful stream processing engine built on top of Hazelcast, providing a framework for processing data in real-time as it arrives. This guide explores the basics of Hazelcast Jet and how you can leverage its capabilities for efficient and scalable real-time data processing.
Hazelcast Jet Features
- Distributed Processing: Hazelcast Jet distributes stream processing across multiple nodes in a Hazelcast cluster, allowing you to handle high volumes of data in real-time.
- Low Latency: Jet is designed for low-latency processing, enabling you to perform real-time operations with minimal delays, making it suitable for time-sensitive applications.
- Scalability: The distributed nature of Jet allows you to scale your processing capacity by adding nodes to the cluster.
- Flexibility: Jet provides a flexible API for defining stream processing pipelines, enabling you to create complex data transformations and aggregations.
- Integration with Hazelcast: Jet seamlessly integrates with Hazelcast data structures, allowing you to easily process data stored in Hazelcast Maps, Lists, and other structures.
Implementing Real-time Data Processing with Hazelcast Jet
1. **Set up Hazelcast Jet:** Include the necessary Hazelcast Jet dependencies in your project.
2. **Create a Pipeline:** Define a Jet pipeline using the `Pipeline` class, representing the flow of data processing steps.
3. **Add Processing Stages:** Use Jet operators to define stages in the pipeline, such as:
4. **Execute the Pipeline:** Start the Jet pipeline using the `execute()` method.
Example
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