pankajkoti commented on code in PR #45188:
URL: https://github.com/apache/airflow/pull/45188#discussion_r1900587419
##########
providers/src/airflow/providers/databricks/operators/databricks.py:
##########
@@ -292,6 +292,8 @@ class DatabricksCreateJobsOperator(BaseOperator):
:param databricks_retry_delay: Number of seconds to wait between retries
(it
might be a floating point number).
:param databricks_retry_args: An optional dictionary with arguments passed
to ``tenacity.Retrying`` class.
+ :param databricks_environments: An optional list of task execution
environment specifications
Review Comment:
can we not call this `environments` only? the prefix databricks seems
redundant. same suggestion across the changes in the PR.
##########
providers/src/airflow/providers/databricks/operators/databricks.py:
##########
@@ -1087,7 +1100,9 @@ def _get_run_json(self) -> dict[str, Any]:
elif self.existing_cluster_id:
run_json["existing_cluster_id"] = self.existing_cluster_id
else:
- raise ValueError("Must specify either existing_cluster_id or
new_cluster.")
Review Comment:
IMO, let's keep else branch and the error with altering the message to say
that either of existing_cluster_id, new_cluster spec or databricks_environments
needs to be specified by also adding another `elif` block to verify that
self.databricks_environment is set.
##########
providers/src/airflow/providers/databricks/operators/databricks.py:
##########
@@ -1087,7 +1100,9 @@ def _get_run_json(self) -> dict[str, Any]:
elif self.existing_cluster_id:
run_json["existing_cluster_id"] = self.existing_cluster_id
else:
- raise ValueError("Must specify either existing_cluster_id or
new_cluster.")
+ self.log.info("The task %s will be executed in serverless mode",
run_json["run_name"])
+ if self.databricks_environments:
Review Comment:
this could be moved as an elif block before the above else block.
##########
providers/src/airflow/providers/databricks/operators/databricks.py:
##########
@@ -1372,27 +1387,29 @@ def _convert_to_databricks_workflow_task(
class DatabricksTaskOperator(DatabricksTaskBaseOperator):
"""
- Runs a task on Databricks using an Airflow operator.
-
- The DatabricksTaskOperator allows users to launch and monitor task job
runs on Databricks as Airflow
- tasks. It can be used as a part of a DatabricksWorkflowTaskGroup to take
advantage of job clusters, which
- allows users to run their tasks on cheaper clusters that can be shared
between tasks.
+ Runs a task on Databricks using an Airflow operator.
- .. seealso::
- For more information on how to use this operator, take a look at the
guide:
- :ref:`howto/operator:DatabricksTaskOperator`
+ The DatabricksTaskOperator allows users to launch and monitor task job
runs on Databricks as Airflow
Review Comment:
why are we changing the indent here?
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