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airflow的宏

airflow的宏

作者: 似水之星 | 来源:发表于2019-12-28 16:36 被阅读0次

    airflow的宏和变量可以用于模版(templates)。

    默认变量

    所有的模版中都可以访问airflow引擎传输默认的变量。

    变量 描述
    {{ ds }} the execution date as YYYY-MM-DD
    {{ ds_nodash }} the execution date as YYYYMMDD
    {{ prev_ds }} the previous execution date as YYYY-MM-DD if {{ ds }} is 2018-01-08and schedule_interval is @weekly, {{ prev_ds }} will be 2018-01-01
    {{ prev_ds_nodash }} the previous execution date as YYYYMMDD if exists, else None
    {{ next_ds }} the next execution date as YYYY-MM-DD if {{ ds }} is 2018-01-01 and schedule_interval is @weekly, {{ next_ds }} will be 2018-01-08
    {{ next_ds_nodash }} the next execution date as YYYYMMDD if exists, else None
    {{ yesterday_ds }} the day before the execution date as YYYY-MM-DD
    {{ yesterday_ds_nodash}} the day before the execution date as YYYYMMDD
    {{ tomorrow_ds }} the day after the execution date as YYYY-MM-DD
    {{ tomorrow_ds_nodash }} the day after the execution date as YYYYMMDD
    {{ ts }} same as execution_date.isoformat(). Example: 2018-01-01T00:00:00+00:00
    {{ ts_nodash }} same as ts without -, : and TimeZone info. Example: 20180101T000000
    {{ ts_nodash_with_tz }} same as ts without - and :. Example: 20180101T000000+0000
    {{ execution_date }} the execution_date (pendulum.Pendulum)
    {{ prev_execution_date}} the previous execution date (if available) (pendulum.Pendulum)
    {{prev_execution_date_success }} execution date from prior successful dag run (if available) (pendulum.Pendulum)
    {{prev_start_date_success}} start date from prior successful dag run (if available) (pendulum.Pendulum)
    {{ next_execution_date}} the next execution date (pendulum.Pendulum)
    {{ dag }} the DAG object
    {{ task }} the Task object
    {{ macros }} a reference to the macros package, described below
    {{ task_instance }} the task_instance object
    {{ end_date }} same as {{ ds }}
    {{ latest_date }} same as {{ ds }}
    {{ ti }} same as {{ task_instance }}
    {{ params }} a reference to the user-defined params dictionary which can be overridden by the dictionary passed through trigger_dag -c if you enableddag_run_conf_overrides_params in ``airflow.cfg`
    {{ var.value.my_var }} global defined variables represented as a dictionary
    {{ var.json.my_var.path}} global defined variables represented as a dictionary with deserialized JSON object, append the path to the key within the JSON object
    {{ task_instance_key_str}} a unique, human-readable key to the task instance formatted {dag_id}_{task_id}_{ds}
    {{ conf }} the full configuration object located at airflow.configuration.confwhich represents the content of your airflow.cfg
    {{ run_id }} the run_id of the current DAG run
    {{ dag_run }} a reference to the DagRun object
    {{ test_mode }} whether the task instance was called using the CLI’s test subcommand

    宏暴露对象在你的模版中,在模版的宏命名空间有效。
    一些常见的变量和方法

    Variable Description
    macros.datetime The standard lib’s datetime.datetime
    macros.timedelta The standard lib’s datetime.timedelta
    macros.dateutil A reference to the dateutil package
    macros.time The standard lib’s datetime.time
    macros.uuid The standard lib’s uuid
    macros.random The standard lib’s random

    参考:
    https://airflow.apache.org/docs/stable/macros.html

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