ClickHouse Real-Time Data Writing Guide

There are several main methods for implementing real-time data writing in ClickHouse.

  1. Utilize messaging middleware such as Kafka or RabbitMQ to send real-time data to a message queue, which is then consumed by ClickHouse’s Kafka engine or RabbitMQ engine to write the data into ClickHouse database.
  2. Write real-time data directly into the ClickHouse database using the HTTP or TCP interface provided by ClickHouse.
  3. Using the FileWatcher engine, monitor for any changes in specified directory files. Automatically load the data from newly written files into ClickHouse.
  4. Utilize other third-party tools or libraries, such as Fluentd or Logstash, to collect real-time data into ClickHouse.

In specific business scenarios and based on actual needs, you can choose the appropriate method to achieve real-time data writing. Using message queues and writing directly through HTTP or TCP interfaces are commonly used methods.

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