https://help.smartchart.cn/en/docs/12.DataPlatform/smartpip/ Recent content on Smartchart开发手册 Hugo -- gohugo.io https://help.smartchart.cn/en/docs/12.DataPlatform/smartpip/BasicOps/ Mon, 01 Jan 0001 00:00:00 +0000 https://help.smartchart.cn/en/docs/12.DataPlatform/smartpip/BasicOps/ Introduction # SmartPip provides a visual DAG task configuration interface, supporting drag-and-drop task orchestration, Cron scheduling, task dependency management, and more. Core Concepts # Concept Description DAG Directed Acyclic Graph, defines task dependencies JOB Task node, executes specific driver tasks Cron Schedule expression, defines task execution time Trigger Trigger rules, controls when tasks execute Configuration # In Data Platform → Task Schedule, create a new DAG task, save Click “Edit” on the left of the task list to enter the development interface Click the driver menu Double-click the first column of a configuration row to open detailed settings Cron Expression Guide # Cron expressions consist of 6-7 fields separated by spaces: https://help.smartchart.cn/en/docs/12.DataPlatform/smartpip/DAGConfig/ Mon, 01 Jan 0001 00:00:00 +0000 https://help.smartchart.cn/en/docs/12.DataPlatform/smartpip/DAGConfig/ Introduction # DAG (Directed Acyclic Graph) is the core concept of SmartPip, used for defining task orchestration in data pipelines. Through DAG configuration, you can flexibly define execution order, dependencies, and trigger rules between tasks. DAG Syntax Quick Reference # # Task definition #driver_name task_name params --comment # DAG separator (4+ slashes) //// # Dependencies taskA >> taskB >> taskC # Serial dependency [taskA, taskB] >> taskC # Parallel dependency Custom Parameters # -- Current time report_time = datetime. https://help.smartchart.cn/en/docs/12.DataPlatform/smartpip/DAGExamples/ Mon, 01 Jan 0001 00:00:00 +0000 https://help.smartchart.cn/en/docs/12.DataPlatform/smartpip/DAGExamples/ Introduction # This chapter provides complete DAG configuration examples demonstrating task orchestration, dependencies, and scheduled execution in practice. Dependency Operators # Symbol Meaning Example >> Downstream dependency t1 >> t2 (t2 depends on t1) << Upstream dependency t2 << t1 (t2 depends on t1) [] Parallel execution [t1, t2] >> t3 Complete Sample # """Variable definitions (Python syntax, optional)""" P_DAYS = 12 MSG = 'xxxx' report_time = datetime.datetime.now() - datetime.