Primary Terminologies Related to Kafka Streams API
- Tasks: Within the Kafka Streams API, tasks are logical processing units that take in input data, process it, and then output the results.
- Partitions: Segments of Kafka topics that allow applications using Kafka Streams to scale and process data in parallel.
- Stateful Processing: This refers to the Kafka Streams API’s capacity to save and update state data across stream processing operations, enabling intricate analytics and transformations.
- Windowing is a method for processing and aggregating data streams in predetermined time frames, making windowed joins and aggregation possible.
How Kafka Streams API Works?
- Initialization: Include the kafka-streams dependency in your project in order to start using the Kafka Streams API.
- Order of magnitude Construction: Use the Processor API or Streams API DSL to specify the application’s processing logic. This entails defining the data transformations, output topics, and input subjects.
- Implementation: Create an instance of the Kafka Streams Topology object and set up characteristics like state storage, input/output serializers, and processing semantics.
- Installation: Install your Kafka Streams application in a runtime environment, like a containerised environment or a standalone Java process.
- Scaling: To provide higher throughput and fault tolerance, Kafka Streams applications automatically scale horizontally by dividing work across several instances.
Kafka Stream API Workflow With a Diagram
The following diagram illustrates the workflow of Kafka Stream APIs in between producers and consumers:
What is Kafka Streams API ?
Kafka Streams API is a powerful, lightweight library provided by Apache Kafka for building real-time, scalable, and fault-tolerant stream processing applications. It allows developers to process and analyze data stored in Kafka topics using simple, high-level operations such as filtering, transforming, and aggregating data. In this article, we are going discuss deeply what Kafka, Kafka stream API, Use Cases, and advantages and disadvantages of Kafka stream API.
Table of Content
- What is Kafka?
- What is Kafka Stream API?
- Primary Terminologies Related to Kafka Streams API
- Usecases of Kafka Streams API
- Working With Kafka Streams API
- Advantages of Kafka Stream APIs
- Disadvantages of Kafka Stream APIs
- Applications of Kafka Stream APIs
- Conclusion
- Kafka Stream APIs – FAQs