Java development: How to use Debezium for database change event capture

Java development: How to use Debezium to capture database change events

Abstract: Debezium is an open source distributed platform that can capture and send database change events to the message queue. This article will introduce how to use Debezium to capture change events in the database, and provide specific Java code examples.

1. Introduction
   With the rapid development of the Internet industry, the capture of database change events has become more and more important. Although traditional database triggers can achieve this function, they usually only capture specific operations of the database rather than change events of the entire database. Debezium, as an open source distributed platform, can solve this problem.
2. Overview of Debezium
   Debezium is an open source project developed by Red Hat. It is based on Apache Kafka and is used to capture database change events. Debezium supports a variety of databases, such as MySQL, PostgreSQL and MongoDB, and can send captured change events to the message queue for use by other systems.
3. Steps to use Debezium for database change event capture
   The following are the steps to use Debezium for database change event capture:

Step 1: Install Debezium
First, you need Install Debezium in your local environment. You can download the latest version of Debezium from the official Debezium website and install and configure it according to the official documentation.

Step 2: Configure Debezium connection information
In the configuration file, you need to configure the database connection information, including database address, user name, password, etc. For example, for a MySQL database, you can use the following configuration:

name=my-sql-connector
connector.class=io.debezium.connector.mysql.MySqlConnector
tasks.max=1
database.hostname=localhost
database.port=3306
database.user=your_username
database.password=your_password
database.server.id=1
database.server.name=my-app-db
database.whitelist=my_database

Step 3: Start a Debezium connection
Start a Debezium connection in your application to start capturing change events for the database. The following is a Java code example that initiates the connection:

import io.debezium.embedded.EmbeddedEngine;
import io.debezium.config.Configuration;
import io.debezium.config.ConfigurationBuilder;

public class DatabaseChangeCapture {
    public static void main(String[] args) {
        Configuration config = Configuration.create()
            .with("name", "my-sql-connector")
            .with("connector.class", "io.debezium.connector.mysql.MySqlConnector")
            .with("tasks.max", 1)
            .with("database.hostname", "localhost")
            .with("database.port", 3306)
            .with("database.user", "your_username")
            .with("database.password", "your_password")
            .with("database.server.id", 1)
            .with("database.server.name", "my-app-db")
            .with("database.whitelist", "my_database")
            .build();

        EmbeddedEngine engine = EmbeddedEngine.create()
            .using(config)
            .notifying(record -> {
                // 处理捕获到的变更事件
                System.out.println(record.value());
            })
            .build();

        engine.run();
    }
}

Step 4: Handle the captured change event
In the above code example, Debezium will be called every time it captures a change event for the database The callback function in the notifying method is processed. In the callback function, corresponding processing can be performed according to specific business needs, such as writing change events to the message queue or persistent storage, etc.

4. Summary
   This article introduces how to use Debezium for database change event capture, and provides specific Java code examples. Debezium makes it easy to capture database change events and send them to a message queue for consumption by other systems. Using Debezium can achieve efficient database change event processing and improve system reliability and scalability.

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