Airflow 是通过 DAG(Directed acyclic graph 有向无环图)来管理任务流程的任务调度工具,不需要知道业务数据的具体内容,设置任务的依赖关系即可实现任务调度。 这个平台拥有和 Hive、Presto、MySQL、HDFS、Postgres 等数据源之间交互的能力,并且提供了钩子(hook)使其拥有很好地扩展性。除了使用命令行,该工具还提供了一个...
apache-airflow-providers-microsoft-mssql-3.9.1 pymssql-2.3.1 apache-airflow-providers-common-sql-1.17.1 Use MsSQL hook to connect to database using a MSSQL connection from the Airflow connection menu. Operating System CentOS 7 Versions of Apache Airflow Providers apache-airflow-providers-micros...
:param mssql_conn_id: Reference to a specific MSSQL hook. **Example**: The following operator will export data from the Customers table within the given MSSQL Database and then upload it to the 'mssql-export' GCS bucket (along with a schema file). :: export_customers = MsSqlToGoogle...
SQLAlchemy: upper-bound to specific MINOR version (SQLAlchemy is known to remove deprecations and introduce breaking changes especially that support for different Databases varies and changes at various speed (example: SQLAlchemy 1.4 broke MSSQL integration for Airflow) Alembic: it is important to ...
在Airflow中使用JDBC操作符来获取SQL查询结果,可以通过以下步骤完成: 1. 首先,确保已经安装了Airflow和相关的JDBC驱动程序。Airflow是一个用于编排、调度和监控工作流程的...
Airflow是一个以编程方式创作、调度和监控工作流程的平台。这些功能是通过任务的有向无环图（DAG）实现的。它是一个开源的，仍处于孵化器阶段。它于2014年在Airbnb的保护伞下进行了初始化，从那时起，它在GitHub上获得了大约800个贡献者和13000颗星星的良好声誉。Apache Airflow 的主要功能是调度工作流程，监控和...
# atlas, aws, azure, cassandra, crypto, druid, gcp, gcp-api, hdfs, hive, kubernetes, mssql, pinot, s3, # spark, webhdfs, winrm # # END DEPRECATED EXTRAS HERE # # !!! Those providers are defined in the `airflow/providers/<provider>/provider.yaml` files !!! # # Those...
https://github.com/apache/incubator-airflow/tree/master/airflow/example_dags 设计原则 动态:Airflow配置为代码(Python),允许动态生成pipeline。 这允许编写动态实例化的pipelines代码。 可扩展:轻松定义自己的opertators,执行程序并扩展库,使其符合适合您环境的抽象级别。
# atlas, aws, azure, cassandra, crypto, druid, gcp, gcp-api, hdfs, hive, kubernetes, mssql, pinot, s3, # spark, webhdfs, winrm # # END DEPRECATED EXTRAS HERE # # !!! Those providers are defined in the `airflow/providers/<provider>/provider.yaml` files !!! # # Those...
运行下面的命令,能在DAG中看到job的运行状态。 # run your first task instance airflow run example_bash_operator runme_0 2015-01-01 # run a backfill over 2 days airflow backfill example_bash_operator -s 2015-01-01 -e 2015-01-02 3.扩展包 airflow有很多扩展包,如下图:...