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This One Data Company Abandoned DataX, Upgraded to SeaTunnel, and Turbocharged Its Workflows
- JoyaData Communications upgraded from DataX to Apache SeaTunnel for data synchronization, citing issues with DataX's single-node deployment and lack of clustering support.
- SeaTunnel was chosen for high availability, upsert support, and simpler configurations, leading to faster workflows and scalability.
- A three-month transition period from dataX to SeaTunnel included testing version 2.3.3 and subsequent migration to version 2.3.4 for improved performance.
- SeaTunnel's architecture empowered more efficient data integration and synchronization through a revamped web page and integration with Apache DolphinScheduler.
- Efficiency tests showed seaTunnel handling 90,000-100,000 records per second from TDSQL to Kafka and sometimes reaching 200,000 records per second to OSS.
- Common performance issues in SeaTunnel, such as slow speed, were addressed by identifying slow reading or writing processes.
- Barriers like JAR conflicts due to database version incompatibility were resolved by implementing strict class load isolation in SeaTunnel's upcoming release, v2.4.
- New users are advised to read official documentation, run official packages, dive into source code, adjust configurations, and organize the learning process to expedite SeaTunnel adoption.
- Utilizing examples and the E2E module along with community resources can aid in learning and using SeaTunnel efficiently.
- The use of SeaTunnel not only enhanced technical growth through deep architecture understanding but also provided valuable insights into distributed systems and unique technologies.
- Community discussions are ongoing regarding support for bulkload plans and techniques for column renaming in SeaTunnel.
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