Working with Apache Kafka in Python
Exploring How to Send and Consume Messages in a Kafka Topic
Kafka is a popular open-source streaming platform that enables organizations to build real-time data pipelines and streaming applications.
One common use of Kafka is to send and receive messages, or “records,” between different systems and applications. This article will explore how to send information to a Kafka topic and consume this information in Python.
First, let’s define what a Kafka topic is. A topic is a named stream of records that are published to one or more Kafka brokers. Topics are partitioned, which means that the records in a topic are distributed across multiple brokers in a cluster. This allows for high scalability and performance.
We first need to create a producer to send information to a Kafka topic. A producer is a program that sends records to one or more Kafka topics. We can use the Kafka-Python library in Python to create a producer and send messages to a topic.
Once we have sent messages to a Kafka topic, we can consume them using a consumer. A consumer is a program that reads records from one or more Kafka topics. In Python, we can use the Kafka-Python library again to create a consumer and read messages from a topic.
