airflow glue_catalog_partition 源码
airflow glue_catalog_partition 代码
文件路径:/airflow/providers/amazon/aws/sensors/glue_catalog_partition.py
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
from typing import TYPE_CHECKING, Sequence
from airflow.providers.amazon.aws.hooks.glue_catalog import GlueCatalogHook
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
class GlueCatalogPartitionSensor(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)
: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
:param aws_conn_id: ID of the Airflow connection where
credentials and extra configuration are stored
:param region_name: Optional aws region name (example: us-east-1). Uses region from connection
if not specified.
:param database_name: The name of the catalog database where the partitions reside.
:param poke_interval: Time in seconds that the job should wait in
between each tries
"""
template_fields: Sequence[str] = (
'database_name',
'table_name',
'expression',
)
ui_color = '#C5CAE9'
def __init__(
self,
*,
table_name: str,
expression: str = "ds='{{ ds }}'",
aws_conn_id: str = 'aws_default',
region_name: str | None = None,
database_name: str = 'default',
poke_interval: int = 60 * 3,
**kwargs,
):
super().__init__(poke_interval=poke_interval, **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
self.hook: GlueCatalogHook | None = None
def poke(self, context: 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)
def get_hook(self) -> GlueCatalogHook:
"""Gets the GlueCatalogHook"""
if self.hook:
return self.hook
self.hook = GlueCatalogHook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
return self.hook
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