Author: Zen and the Art of Computer Programming
1 Introduction
Apache Kafka is a distributed stream processing platform open sourced by LinkedIn in 2011 and written in Scala and Java. Kafka can be used in real-time data transmission, log aggregation, application indicator monitoring and other scenarios. This article mainly introduces the use of Kafka, and helps readers deeply understand and master the use skills of Apache Kafka through examples, charts, examples and related concepts.
2. Explanation of basic concepts and terms
2.1 Introduction to Apache Kafka
Apache Kafka is a distributed stream processing platform open sourced by LinkedIn in 2011. It is a high-throughput distributed system written in Scala and Java. Apache Kafka supports multiple data distribution models, such as publish/subscribe (pub-sub), one-to-one, one-to-many, many-to-many, etc., and also provides persistence and fault tolerance. Based on Kafka, LinkedIn implements large-scale website log storage and can process more than one million events per second under peak system load. On the other hand, Kafka has also proven to be very suitable for building real-time event streaming platforms, such as real-time analytics and real-time data pipelines.
2.2 Main functional modules of Apache Kafka
Apache Kafka has the following main functional modules:
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Distributed cluster: Kafka uses Zookeeper as a distributed coordination service to ensure that all members in the cluster can work correctly. Each node stores a replication log that records the data required by producers and consumers. When a node in the cluster fails, its replication log can also be taken over by other nodes.
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Message publishing and subscription: Each producer can publish messages to a specified topic, and these messages will be