airflow.macros.hive.max_partition (table, schema = ‘default’, field = None, filter_map = None, metastore_conn_id = ‘metastore_default’) [source] ¶ Gets the max partition for a table. Parameters. schema — The hive schema the table lives in. table — The hive table you are interested in, supports the dot notation as in my_database.my_table, if a dot is found, the schema param is disregarded, 8/7/2019 · I’m using the ‘ yesterday _ds’ macro as sometimes reports and data consolidates at different times of the day so we’re simply giving it additional time to be delivered. I do not require my data to be more up to date than a couple of days but if speed was of the utmost importance an Airflow sensor would be more appropriate.
yesterday _ds_nodash (1) … way to make a user-defined macro in Airflow which is itself computed from other macros? from airflow import DAG from airflow.operators.bash_operator import BashOperator dag=DAG( ‘s… 1; xcom use …
2/11/2016 · Added yesterday _ds_nodash and tommorow_ds_nodash #993 Merged mistercrunch merged 2 commits into apache : master from 0xR : add- yesterday _ds_nodash Feb 11, 2016, airflow.macros.random ? x in the interval [0, 1).¶ airflow.macros.hive.closest_ds_partition (table, ds, before = True, schema = ‘default’, metastore_conn_id = ‘metastore_default’) [source] ¶ This function finds the date in a list closest to the target date. An optional parameter can be given to get the closest before or after. Parameters, Does airflow have something like ` yesterday _ds` / `tomorrow_ds` but for `@monthly` jobs? I have a job that’s using the ds variable to coordinate the amount of work that it processes, and it is scheduled to run daily with @daily. select * from events where date = ‘{{ ds }}’; However, I’d like to write a new version of it to be @monthly. …
Macros reference¶. Variables and macros can be used in templates (see the Jinja Templating section). The following come for free out of the box with Airflow. Additional custom macros can be added globally through ORM Extensions, or at a DAG level through the DAG.user_defined_macros argument.
Who knows how to use the airflow to watch a zookeeper path, when zookeeper path data is ‘success’, Change the state of task to success?when zookeeper path data is ‘fail’, Change the state of task t…
The BashOperator’s bash_command argument is a template.You can access execution_date in any template as a datetime object using the execution_date variable. In the template, you can use any jinja2 methods to manipulate it.. Using the following as your BashOperator bash_command string: # pass in the first of the current month some_command.sh {{ execution_date.replace(day=1) }} # last day of …
11/15/2020 · from datetime import datetime, timedelta from airflow import DAG from airflow.sensors.external_task_sensor import ExternalTaskSensor FREQUENCY = ‘*/5 * * * *’ DEFAULT_ARGS = { ‘depends_on_past’: False, ‘start_date’: datetime.today() – timedelta(1), ‘retries’: 1, ‘catchup’: False, } dag = DAG( ‘etl_with_sensor’, description=’DAG with sensor …
