Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that su...
Airflow offers dynamic pipeline generation and can handle complex dependencies, making it ideal for tasks that require advanced scheduling and execution order. Jenkins is optimized for straightforward workflows in software build and deployment with a focus on speed and efficiency. 8 ADVERTISEMENTComparison...
Apache Airflow 的主要目标是: Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Extensible: Easily define your own operators, executors and extend the library so that it fits th...
Transition to Dynamic DAG Generation The described problem prompted us to search for a solution, which was found in a feature of Airflow calleddynamic DAG generation(documentation). Notably, this documentation page suggests a solution to the problem by setting environment variables that are then used...
Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that ...
动态任务映射(Dynamic Task Mapping):允许工作流在运行时根据当前数据创建一些任务,而不是让DAG作者事先知道需要多少任务。 @task defmake_list(): # This can also be from an API call, checking a database, -- almost anything you like, as long as the ...
https://airflow.apache.org/docs/apache-airflow/stable/howto/dynamic-dag-generation.html#registering-dynamic-dags fromdatetimeimportdatetimefromairflow.decoratorsimportdag, task configs={"config1": {"message":"first DAG will receive this message"},"config2": {"message":"second DAG will receive ...
动态任务映射(Dynamic Task Mapping):允许工作流在运行时根据当前数据创建一些任务,而不是让DAG作者事先知道需要多少任务。 @taskdefmake_list():# This can also be from an API call, checking a database, -- almost anything you like, as long as the# resulting list/dictionary can be stored in the...
动态任务映射(Dynamic Task Mapping):允许工作流在运行时根据当前数据创建一些任务,而不是让DAG作者事先知道需要多少任务。 代码语言:javascript 复制 @task defmake_list():# This can also be from anAPIcall,checking a database,--almost anything you like,aslongasthe ...
Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. 动态:Airflow管道配置为代码 (Python),允许动态管道生成。这允许编写动态实例化管道的代码。