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April Monthly Report | SeaTunnel Adds Support for TDengine Multi-Table Sink

Hello to all the Apache SeaTunnel enthusiasts! The April edition of the monthly report is here, documenting the key updates from the SeaTunnel community. Stay tuned and keep up with the latest project developments!

Among this month's many updates, the most notable new feature is support for TDengine's multi-table sink functionality, contributed by @jia17. This marks a significant step forward in SeaTunnel’s capabilities for writing data to time-series databases.

In industrial IoT, smart energy, intelligent manufacturing, and other scenarios, sensor data is often distributed across multiple logical tables. The previous single-table sink model clearly fell short of meeting the complex requirements for data persistence in such cases. This update introduces dynamic multi-table writing support for TDengine, enabling users to flexibly route data to different target tables based on business logic. This greatly improves both the flexibility and efficiency of data ingestion.

More importantly, the feature design thoughtfully handles schema parsing, field matching, and exception handling, demonstrating strong engineering practicality. It also lays a solid foundation for extending multi-table write support to more connectors in the future.

SeaTunnel continues to strengthen its integration capabilities with mainstream data systems. This update is a powerful response to real-world business needs.

SeaTunnel Monthly Merge Stars

Thanks to the following contributors for their outstanding contributions to Apache SeaTunnel last month (in no particular order):

weekly_combined_avatars_2025-05-27

“@hawk9821,@eyys,@liunaijie,@corgy-w,@CosmosNi,@FrommyMind,@maozhen520,@Hisoka-X,@litiliu,@JeremyXin,@Alberne,@rbowen,@mrtisttt,@RongHaa,@misi1987107,@kehan-zhou,@ocean-zhc,@qifanlili,@jia17,@xxsc0529,@hailin0”

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