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Canal is an open-source project from Alibaba designed to facilitate real-time data synchronization and change data capture (CDC) by subscribing to MySQL binlog.
Canal captures incremental data changes from MySQL databases by simulating the MySQL replication protocol. It provides a reliable mechanism for applications to consume these changes for downstream processing.
Provides a robust and non-intrusive method for capturing database changes, avoiding the complexities and performance overhead of polling or database triggers for real-time data needs.
Simulates a MySQL slave to parse binlog events in real-time, capturing INSERT, UPDATE, and DELETE operations.
Supports multiple data output formats (e.g., JSON, Protobuf) and integration with various message queues (e.g., Kafka, RocketMQ).
Canal is suitable for various applications where real-time or near real-time access to MySQL database changes is required, such as:
Synchronize data changes from a production MySQL database to other data stores like data warehouses (e.g., Hive, ClickHouse), NoSQL databases (e.g., HBase), or other relational databases.
Ensures downstream systems have near real-time data, enabling fresh analytics, reporting, and consistent data views across the organization.
React to database updates to invalidate or refresh application caches (e.g., Redis, Memcached), ensuring data consistency between the database and the cache layer.
Reduces stale data in caches, improves application performance by minimizing cache misses on outdated data, and simplifies cache management logic.
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