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The DSL API’s Stateless Operations: Overview

Explore Kafka Streams DSL API's stateless operations such as filtering, mapping, and flatMapping. Understand how these transformations work independently on each stream record without maintaining internal state. This lesson helps you apply these operations effectively in building real-time stream processing applications.

Kafka Streams DSL API

Kafka Streams provides a domain-specific language (DSL) API that’s designed to build complex stream processing applications in a simple and concise way. This is because the DSL API is based on functional programming principles, which makes it highly composable and modular. It supports a wide range of stream processing operations, including:

  • Stateless transformations (e.g., map and filter)

  • Stateful operations (e.g., aggregations)

  • Join and windowing operations

Let’s quickly review these operations.

Kafka Streams DSL API operations

Stateless transformations

Stateless operations in Kafka Streams are a set of operations that are designed to operate independently on each data record in a stream. These operations do not require any internal state to be maintained across data records. Therefore, they are ideal for simple transformations or filtering operations. Stateless operations in Kafka Streams can be used to perform a wide range of data ...