Real-Time Data Synchronization Based on Flink SQL CDC

Traditional Data Synchronization Solution and Flink SQL CDC Solution

Analysis on Flink SQL CDC Data Synchronization

Introduction to Log-Based CDC

Use Flink as the ETL Tool

Practices of Data Synchronization Based on Flink SQL CDC

Example 1: Flink SQL CDC + JDBC Connector

Example 2: CDC Streaming ETL

CREATE TABLE orders (
order_id INT,
order_date TIMESTAMP(0),
customer_name STRING,
price DECIMAL(10, 5),
product_id INT,
order_status BOOLEAN
) WITH (
'connector' = 'mysql-cdc',
'hostname' = 'localhost',
'port' = '3306',
'username' = 'root',
'password' = '123456',
'database-name' = 'mydb',
'table-name' = 'orders'
);
SELECT * FROM orders

Example 3: Streaming Changes to Kafka

More Application Scenarios of Flink SQL CDC

Flexible Positioning of Flink in Data Synchronization Scenarios

Flink SQL CDC: Connecting to More Scenarios

CDC-Based Dimension Table Join

Future Plans

Summary

Q&A

Original Source:

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