Source code for airflow.contrib.operators.adls_list_operator

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from typing import Iterable

from airflow.contrib.hooks.azure_data_lake_hook import AzureDataLakeHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults


[docs]class AzureDataLakeStorageListOperator(BaseOperator): """ List all files from the specified path This operator returns a python list with the names of files which can be used by `xcom` in the downstream tasks. :param path: The Azure Data Lake path to find the objects. Supports glob strings (templated) :type path: str :param azure_data_lake_conn_id: The connection ID to use when connecting to Azure Data Lake Storage. :type azure_data_lake_conn_id: str **Example**: The following Operator would list all the Parquet files from ``folder/output/`` folder in the specified ADLS account :: adls_files = AzureDataLakeStorageListOperator( task_id='adls_files', path='folder/output/*.parquet', azure_data_lake_conn_id='azure_data_lake_default' ) """
[docs] template_fields = ('path',) # type: Iterable[str]
[docs] ui_color = '#901dd2'
@apply_defaults def __init__(self, path, azure_data_lake_conn_id='azure_data_lake_default', *args, **kwargs): super(AzureDataLakeStorageListOperator, self).__init__(*args, **kwargs) self.path = path self.azure_data_lake_conn_id = azure_data_lake_conn_id
[docs] def execute(self, context): hook = AzureDataLakeHook( azure_data_lake_conn_id=self.azure_data_lake_conn_id ) self.log.info('Getting list of ADLS files in path: %s', self.path) return hook.list(path=self.path)