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README.md

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@@ -31,7 +31,7 @@ The key features for DolphinScheduler are as follows:
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DolphinScheduler uses a decentralized multi-master and multi-worker architecture, which naturally supports horizontal scaling and high availability
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- High performance, its performance is N times faster than other orchestration platform and it can support tens of millions of tasks per day
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- Supports multi-tenancy
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- Supports various task types: Shell, MR, Spark, SQL (MySQL, PostgreSQL, Hive, Spark SQL), Python, Procedure, Sub_Workflow,
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- Supports various task types: Shell, MR, Spark, SQL (MySQL, OceanBase, PostgreSQL, Hive, Spark SQL), Python, Procedure, Sub_Workflow,
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Http, K8s, Jupyter, MLflow, SageMaker, DVC, Pytorch, Amazon EMR, etc
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- Orchestrating workflows and dependencies, you can pause/stop/recover task any time, failed tasks can be set to automatically retry
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- Visualizing the running state of the task in real-time and seeing the task runtime log

README_zh_CN.md

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其主要目标如下:
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- 以 DAG 图的方式将 Task 按照任务的依赖关系关联起来,可实时可视化监控任务的运行状态
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- 支持丰富的任务类型:Shell、MR、Spark、SQL(mysql、postgresql、hive、sparksql)、Python、Sub_Process、Procedure 等
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- 支持丰富的任务类型:Shell、MR、Spark、SQL(mysql、oceanbase、postgresql、hive、sparksql)、Python、Sub_Process、Procedure 等
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- 支持工作流定时调度、依赖调度、手动调度、手动暂停/停止/恢复,同时支持失败重试/告警、从指定节点恢复失败、Kill 任务等操作
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- 支持工作流优先级、任务优先级及任务的故障转移及任务超时告警/失败
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- 支持工作流全局参数及节点自定义参数设置

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