Source code for airflow.providers.microsoft.azure.operators.adls

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from __future__ import annotations

from typing import TYPE_CHECKING, Any, Sequence

from airflow.models import BaseOperator
from airflow.providers.microsoft.azure.hooks.data_lake import AzureDataLakeHook

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class ADLSDeleteOperator(BaseOperator): """ Delete files in the specified path. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:ADLSDeleteOperator` :param path: A directory or file to remove :param recursive: Whether to loop into directories in the location and remove the files :param ignore_not_found: Whether to raise error if file to delete is not found :param azure_data_lake_conn_id: Reference to the :ref:`Azure Data Lake connection<howto/connection:adl>`. """
[docs] template_fields: Sequence[str] = ("path",)
[docs] ui_color = "#901dd2"
def __init__( self, *, path: str, recursive: bool = False, ignore_not_found: bool = True, azure_data_lake_conn_id: str = "azure_data_lake_default", **kwargs, ) -> None: super().__init__(**kwargs) self.path = path self.recursive = recursive self.ignore_not_found = ignore_not_found self.azure_data_lake_conn_id = azure_data_lake_conn_id
[docs] def execute(self, context: Context) -> Any: hook = AzureDataLakeHook(azure_data_lake_conn_id=self.azure_data_lake_conn_id) return hook.remove(path=self.path, recursive=self.recursive, ignore_not_found=self.ignore_not_found)
[docs]class ADLSListOperator(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) :param azure_data_lake_conn_id: Reference to the :ref:`Azure Data Lake connection<howto/connection:adl>`. **Example**: The following Operator would list all the Parquet files from ``folder/output/`` folder in the specified ADLS account :: adls_files = ADLSListOperator( task_id='adls_files', path='folder/output/*.parquet', azure_data_lake_conn_id='azure_data_lake_default' ) """
[docs] template_fields: Sequence[str] = ("path",)
[docs] ui_color = "#901dd2"
def __init__( self, *, path: str, azure_data_lake_conn_id: str = "azure_data_lake_default", **kwargs ) -> None: super().__init__(**kwargs) self.path = path self.azure_data_lake_conn_id = azure_data_lake_conn_id
[docs] def execute(self, context: Context) -> list: 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)

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