Source code for airflow.contrib.sensors.aws_glue_catalog_partition_sensor
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from airflow.sensors.base_sensor_operator import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
[docs]class AwsGlueCatalogPartitionSensor(BaseSensorOperator):
"""
Waits for a partition to show up in AWS Glue Catalog.
:param table_name: The name of the table to wait for, supports the dot
notation (my_database.my_table)
:type table_name: str
:param expression: The partition clause to wait for. This is passed as
is to the AWS Glue Catalog API's get_partitions function,
and supports SQL like notation as in ``ds='2015-01-01'
AND type='value'`` and comparison operators as in ``"ds>=2015-01-01"``.
See https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-catalog-partitions.html
#aws-glue-api-catalog-partitions-GetPartitions
:type expression: str
:param aws_conn_id: ID of the Airflow connection where
credentials and extra configuration are stored
:type aws_conn_id: str
:param region_name: Optional aws region name (example: us-east-1). Uses region from connection
if not specified.
:type region_name: str
:param database_name: The name of the catalog database where the partitions reside.
:type database_name: str
:param poke_interval: Time in seconds that the job should wait in
between each tries
:type poke_interval: int
"""
[docs] template_fields = ('database_name', 'table_name', 'expression',)
@apply_defaults
def __init__(self,
table_name, expression="ds='{{ ds }}'",
aws_conn_id='aws_default',
region_name=None,
database_name='default',
poke_interval=60 * 3,
*args,
**kwargs):
super(AwsGlueCatalogPartitionSensor, self).__init__(
poke_interval=poke_interval, *args, **kwargs)
self.aws_conn_id = aws_conn_id
self.region_name = region_name
self.table_name = table_name
self.expression = expression
self.database_name = database_name
[docs] def poke(self, context):
"""
Checks for existence of the partition in the AWS Glue Catalog table
"""
if '.' in self.table_name:
self.database_name, self.table_name = self.table_name.split('.')
self.log.info(
'Poking for table %s. %s, expression %s', self.database_name, self.table_name, self.expression
)
return self.get_hook().check_for_partition(
self.database_name, self.table_name, self.expression)
[docs] def get_hook(self):
"""
Gets the AwsGlueCatalogHook
"""
if not hasattr(self, 'hook'):
from airflow.contrib.hooks.aws_glue_catalog_hook import AwsGlueCatalogHook
self.hook = AwsGlueCatalogHook(
aws_conn_id=self.aws_conn_id,
region_name=self.region_name)
return self.hook