Source code for

# 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
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""This module contains Azure Data Lake Storage to Google Cloud Storage operator."""

from __future__ import annotations

import os
from tempfile import NamedTemporaryFile
from typing import TYPE_CHECKING, Sequence

from import GCSHook, _parse_gcs_url

    from import AzureDataLakeHook
    from import ADLSListOperator
except ModuleNotFoundError as e:
    from airflow.exceptions import AirflowOptionalProviderFeatureException

    raise AirflowOptionalProviderFeatureException(e)

    from airflow.utils.context import Context

[docs]class ADLSToGCSOperator(ADLSListOperator): """ Synchronizes an Azure Data Lake Storage path with a GCS bucket. :param src_adls: The Azure Data Lake path to find the objects (templated) :param dest_gcs: The Google Cloud Storage bucket and prefix to store the objects. (templated) :param replace: If true, replaces same-named files in GCS :param gzip: Option to compress file for upload :param azure_data_lake_conn_id: The connection ID to use when connecting to Azure Data Lake Storage. :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud. :param google_impersonation_chain: Optional Google service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). **Examples**: The following Operator would copy a single file named ``hello/world.avro`` from ADLS to the GCS bucket ``mybucket``. Its full resulting gcs path will be ``gs://mybucket/hello/world.avro`` :: copy_single_file = AdlsToGoogleCloudStorageOperator( task_id="copy_single_file", src_adls="hello/world.avro", dest_gcs="gs://mybucket", replace=False, azure_data_lake_conn_id="azure_data_lake_default", gcp_conn_id="google_cloud_default", ) The following Operator would copy all parquet files from ADLS to the GCS bucket ``mybucket``. :: copy_all_files = AdlsToGoogleCloudStorageOperator( task_id='copy_all_files', src_adls='*.parquet', dest_gcs='gs://mybucket', replace=False, azure_data_lake_conn_id='azure_data_lake_default', gcp_conn_id='google_cloud_default' ) The following Operator would copy all parquet files from ADLS path ``/hello/world``to the GCS bucket ``mybucket``. :: copy_world_files = AdlsToGoogleCloudStorageOperator( task_id='copy_world_files', src_adls='hello/world/*.parquet', dest_gcs='gs://mybucket', replace=False, azure_data_lake_conn_id='azure_data_lake_default', gcp_conn_id='google_cloud_default' ) """
[docs] template_fields: Sequence[str] = ( "src_adls", "dest_gcs", "google_impersonation_chain", )
[docs] ui_color = "#f0eee4"
def __init__( self, *, src_adls: str, dest_gcs: str, azure_data_lake_conn_id: str, gcp_conn_id: str = "google_cloud_default", replace: bool = False, gzip: bool = False, google_impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: super().__init__(path=src_adls, azure_data_lake_conn_id=azure_data_lake_conn_id, **kwargs) self.src_adls = src_adls self.dest_gcs = dest_gcs self.replace = replace self.gcp_conn_id = gcp_conn_id self.gzip = gzip self.google_impersonation_chain = google_impersonation_chain
[docs] def execute(self, context: Context): # use the super to list all files in an Azure Data Lake path files = super().execute(context) g_hook = GCSHook( gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.google_impersonation_chain, ) if not self.replace: # if we are not replacing -> list all files in the ADLS path # and only keep those files which are present in # ADLS and not in Google Cloud Storage bucket_name, prefix = _parse_gcs_url(self.dest_gcs) existing_files = g_hook.list(bucket_name=bucket_name, prefix=prefix) files = list(set(files) - set(existing_files)) if files: hook = AzureDataLakeHook(azure_data_lake_conn_id=self.azure_data_lake_conn_id) for obj in files: with NamedTemporaryFile(mode="wb", delete=True) as f: hook.download_file(, remote_path=obj) f.flush() dest_gcs_bucket, dest_gcs_prefix = _parse_gcs_url(self.dest_gcs) dest_path = os.path.join(dest_gcs_prefix, obj)"Saving file to %s", dest_path) g_hook.upload( bucket_name=dest_gcs_bucket, object_name=dest_path,, gzip=self.gzip )"All done, uploaded %d files to GCS", len(files)) else:"In sync, no files needed to be uploaded to GCS") return files

Was this entry helpful?