dabla opened a new pull request, #37821:
URL: https://github.com/apache/airflow/pull/37821
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related: [fix: Pass proxies config when using ClientSecretCredential in
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Hello, as discussed in the previous
[PR](https://github.com/apache/airflow/pull/37103) I created this new PR for
introducing the DataToADLSOperator. This operator allows you to use the
AzureDataLakeStorageV2Hook without the need to write custom python code to
interact with the Hook.
There is already a LocalFilesystemToADLSOperator which uses the older
AzureDataLakeHook, but that operator doesn't allow you to directly store an
XCom to Fabric, you need to create a local file first before uploading it,
which in this case would mean creating an additional task to do it while in
fact it's not necessary as the AzureDataLakeStorageV2Hook allows you to achieve
the same without that intermediate step.
That's why I introduced this DataToADLSOperator, we already use it at our
company as a custom operator and it works great as this easily allows you to
upload an XCom to Fabric, without the need to write python code interacting
with the AzureDataLakeStorageV2Hook. This means a more consice DAG, less code
which improves readability and reduces complexity and of course makes it easy
to use.
Here is a simplified example on how to use the operator:
```python
from airflow import DAG
from airflow.operators.jira_plugin import JiraOperator
from airflow.providers.microsoft.azure.transfers.data_to_local import
DataToADLSOperator
from datetime import datetime
default_args = {
'owner': 'airflow',
'start_date': datetime(2024, 1, 1),
}
with DAG('jira_example_dag', default_args=default_args,
schedule_interval=None) as dag:
create_issue_task = JiraOperator(
task_id='create_issue',
jira_conn_id='jira_connection',
method='POST',
endpoint='issue',
json={
'fields': {
'project': {'key': 'PROJ'},
'summary': 'This is a test issue created from Airflow',
'description': 'This is the description of the test issue.',
'issuetype': {'name': 'Task'},
}
},
dag=dag,
)
get_issue_task = JiraOperator(
task_id='get_issue',
jira_conn_id='jira_connection',
method='GET',
endpoint='issue/AIRFLOW-123',
dag=dag,
)
write_to_azure_task = DataToADLSOperator(
task_id="write_to_azure",
azure_data_lake_conn_id="ms_azure_data_lake_connection",
file_system_name="JIRA Monitoring",
file_name="Files/JIRA/issues/Airflow/AIRFLOW-123.json",
data=get_issue_task.output,
overwrite=True,
dag=dag,
)
create_issue_task >> get_issue_task >> write_to_azure_task
```
---
**^ Add meaningful description above**
Read the **[Pull Request
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for more information.
In case of fundamental code changes, an Airflow Improvement Proposal
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
is needed.
In case of a new dependency, check compliance with the [ASF 3rd Party
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In case of backwards incompatible changes please leave a note in a
newsfragment file, named `{pr_number}.significant.rst` or
`{issue_number}.significant.rst`, in
[newsfragments](https://github.com/apache/airflow/tree/main/newsfragments).
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