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50 lines
2.7 KiB
50 lines
2.7 KiB
5 years ago
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Easy Scheduler Release 1.0.2
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===
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Easy Scheduler 1.0.2是1.x系列中的第三个版本。此版本增加了调度开放接口、worker分组(指定任务运行的机器组)、任务流程及服务监控以及对oracle、clickhouse等支持，具体如下：
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新特性：
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===
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- [[EasyScheduler-79](https://github.com/analysys/EasyScheduler/issues/79)] 调度通过token方式对外开放接口，可以通过api进行操作
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- [[EasyScheduler-138](https://github.com/analysys/EasyScheduler/issues/138)] 可以指定任务运行的机器(组)
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- [[EasyScheduler-139](https://github.com/analysys/EasyScheduler/issues/139)] 任务流程监控及Master、Worker、Zookeeper运行状态监控
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- [[EasyScheduler-140](https://github.com/analysys/EasyScheduler/issues/140)] 工作流定义—增加流程超时报警
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- [[EasyScheduler-134](https://github.com/analysys/EasyScheduler/issues/134)] 任务类型支持Oracle、CLICKHOUSE、SQLSERVER、IMPALA
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- [[EasyScheduler-136](https://github.com/analysys/EasyScheduler/issues/136)] Sql任务节点可以独立选取抄送邮件用户
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- [[EasyScheduler-141](https://github.com/analysys/EasyScheduler/issues/141)] 用户管理—用户可以绑定队列,用户队列级别高于租户队列级别，如果用户队列为空，则寻找租户队列
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增强：
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===
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- [[EasyScheduler-154](https://github.com/analysys/EasyScheduler/issues/154)] 租户编码允许纯数字或者下划线这种的编码
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修复：
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===
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- [[EasyScheduler-135](https://github.com/analysys/EasyScheduler/issues/135)] Python任务可以指定python版本
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- [[EasyScheduler-125](https://github.com/analysys/EasyScheduler/issues/125)] 用户账号中手机号无法识别联通最新号码166开头
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- [[EasyScheduler-178](https://github.com/analysys/EasyScheduler/issues/178)] 修复ProcessDao里细微的拼写错误
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- [[EasyScheduler-129](https://github.com/analysys/EasyScheduler/issues/129)] 租户管理中，租户编码带下划线等特殊字符无法通过校验
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感谢：
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===
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最后但最重要的是，没有以下伙伴的贡献就没有新版本的诞生：
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Baoqi , chubbyjiang , coreychen , chgxtony, cmdares , datuzi , dingchao, fanguanqun , 风清扬, gaojun416 , googlechorme, hyperknob , hujiang75277381 , huanzui , kinssun, ivivi727 ,jimmy, jiangzhx , kevin5210 , lidongdai , lshmouse , lenboo, lyf198972 , lgcareer , lzy305 , moranrr , millionfor , mazhong8808, programlief, qiaozhanwei , roy110 , swxchappy , sherlock111 , samz406 , swxchappy, qq389401879 , lzy305, vkingnew, William-GuoWei , woniulinux, yyl861, zhangxin1988, yangjiajun2014, yangqinlong, yangjiajun2014, zhzhenqin, zhangluck, zhanghaicheng1, zhuyizhizhi
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以及微信群里众多的热心伙伴！在此非常感谢！
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