Release Notes

  1. Significantly improved stability
  2. Improved performance in some query scenarios: 1) the performance of mode() when used with interval(); 2) the performance of percentile(); 3) the performance of last()/last_row()
  3. Rebalancing ability of cluster workloads after restarting one dnode
  4. Improved robustness when the data of a dnode is disrupted
  5. Data compact can be performed based on a specified time range
  6. Database parameters stt_trigger and minRows can be changed dynamically
  7. User defined function can be developed in Python
  8. Data in Pi, OPC UA and OPC DA can be transferred into TDengine
  9. taosExplorer can help manage data sources and tasks for Pi, OPC UA and OPC DA

What's Changed

New Contributors

Full Changelog: https://github.com/taosdata/TDengine/compare/ver-3.0.3.0...ver-3.0.4.0

项目简介

TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.

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源项目地址

https://github.com/taosdata/TDengine

发行版本 106

3.1.0.2

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贡献者 50

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开发语言

  • C 83.6 %
  • Shell 7.5 %
  • C++ 2.7 %
  • Go 1.8 %
  • C# 1.3 %