Recently, Apache DolphinScheduler released version 3.3.0 alpha. The 3.3.0 alpha version introduces breakthrough improvements in task management, fault tolerance, and scalability, offering a more stable and flexible solution for large-scale workflow scheduling. However, please note that this is an alpha versionβ€”upgrade with caution.

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This update includes numerous DSIPs (DolphinScheduler Improvement Proposals), Features (new functionalities), and Improvements. Below is a summary of the release highlights.


DSIP (DolphinScheduler Improvement Proposals)

The following are structural improvement proposals included in the DolphinScheduler 3.3.0 alpha version, bringing systematic changes to core functionalities, architecture, and performance:

βœ… Enhanced Connection Center Support

🧾 Audit Logs and Remote Logs Optimization

πŸ”¨ Master/Task Execution Logic Optimization

πŸ’‘ User Experience Optimization

🧰 Other Improvements


Feature (New Features)

🎧 Monitoring and Alerts

πŸ§ͺ New Plugins and Integrations

🧱 Resource and Permission Management

πŸ—‚ Storage Extensions

πŸ“„ Documentation Enhancements


Improvement (Optimizations)

βš™ Core Modules and Performance

πŸ§ͺ Test Coverage Improvements

🧹 Cleanup and Refactoring

πŸ“¦ Deployment/Documentation Enhancements


Bug Fix

The following modules were the focus of bug fixes during this release cycle:


Document (Documentation Updates)

This release includes updates across installation guides, contributor documentation, and configuration references:


Chore (Miscellaneous Optimizations)

Chore updates focus on CI processes, module cleanup, and partial refactoring:


Contributors

This release was made possible by the collaboration of community developers. Special thanks to the following core contributors (partial list):

@Blue-Fox, @ZarakiKenpachi, @zhangyongqin, @ironnight, @liuchuo, @yehfan, @CaIShunfeng, @yuxiaoyang-cn, @kongchongming, @MasahiroZhang, @wuxuqiang, @gaoqiang173, @ckeeper97, @twocolds, @hvhye, @liujx0429, @lingkong-jiankong, @jiangm2019, @izukayy, @derryyy, @serpywa, @2rinn, @ilyaszq, @weidaokun, @codenavie, @peijie-liu, @mario27547, @yassirlr, @mingxiaojun, @lixunxd, @wmm2019, @Shawn1997, @nobida, @Chen-lina, @hzytong, @jiangang-huawei, @zhangchaofan, @dongchunlin, @HXT-DAO, @zhaozhichao, @YucongZhu, @onakobayashi, @sdh2110, @laitinglin, @wumomo-npm, @tang-xi, @Maxwell-nz, @bigfrog828, @flarv, @buqiong, @peicongl, @xiayuheng, @kokaokami, @ztust-hsy, @ChengYu-Cloud, @sxt5699, @0d7000, @suxianglong, @one-man-team, @zhouyi0410, @tianxuyuan, @heguanghu, @LotharHuber, @chongxiao-qw, @mcz1988, @windzhe, @linhong-ua, @sunkiming, @nothedream, @kenbliu, @klovejun, @ywq1024, @jianghaitao