Apache SeaTunnel 2.3.12 introduces advanced capabilities for heterogeneous data synchronization, and this guide demonstrates five practical scenarios for migrating data from MySQL to PostgreSQL. The patterns include full load, incremental sync, data transformation, batch optimization with configurable chunk sizes, and pre-SQL execution for data cleaning before migration. Each scenario is designed to address common production challenges such as handling large datasets, ensuring data consistency, and minimizing downtime. For data engineers and backend developers, this resource offers a clear path to implementing robust ETL pipelines using SeaTunnel's connector architecture. The guide also highlights performance tuning tips, such as adjusting parallelism and memory settings, which are critical for high-throughput environments. As organizations increasingly adopt multi-database architectures, having a reliable synchronization tool like SeaTunnel becomes essential for maintaining data integrity and operational efficiency.
This article presents five production-ready data synchronization scenarios from MySQL to PostgreSQL using Apache SeaTunnel 2.3.12. It covers data transformation, batch optimization, and pre-SQL execution, providing a hands-on guide for engineers dealing with heterogeneous data migration. The focus on real-world patterns makes it a valuable reference for teams adopting SeaTunnel for ETL pipelines.