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Fix: Issue when the database objects passed to the cleanup task via params aren't JSON serializable #119

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Fix: Issue when the database objects passed to the cleanup task via params aren't JSON serializable #119

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293 changes: 148 additions & 145 deletions db-cleanup/airflow-db-cleanup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,8 @@
DEFAULT_MAX_DB_ENTRY_AGE_IN_DAYS = int(
Variable.get("airflow_db_cleanup__max_db_entry_age_in_days", 30)
)
# Prints the database entries which will be getting deleted; set to False to avoid printing large lists and slowdown process
# Prints the database entries which will be getting deleted; set to False to avoid printing large lists and slowdown
# process
PRINT_DELETES = True
# Whether the job should delete the db entries or not. Included if you want to
# temporarily avoid deleting the db entries.
Expand All @@ -62,138 +63,8 @@

# List of all the objects that will be deleted. Comment out the DB objects you
# want to skip.
DATABASE_OBJECTS = [
{
"airflow_db_model": BaseJob,
"age_check_column": BaseJob.latest_heartbeat,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
{
"airflow_db_model": DagRun,
"age_check_column": DagRun.execution_date,
"keep_last": True,
"keep_last_filters": [DagRun.external_trigger.is_(False)],
"keep_last_group_by": DagRun.dag_id
},
{
"airflow_db_model": TaskInstance,
"age_check_column": TaskInstance.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
{
"airflow_db_model": Log,
"age_check_column": Log.dttm,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
{
"airflow_db_model": XCom,
"age_check_column": XCom.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
{
"airflow_db_model": SlaMiss,
"age_check_column": SlaMiss.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
{
"airflow_db_model": DagModel,
"age_check_column": dag_model_last_scheduler_run,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}]

# Check for TaskReschedule model
try:
from airflow.models import TaskReschedule
DATABASE_OBJECTS.append({
"airflow_db_model": TaskReschedule,
"age_check_column": TaskReschedule.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
})

except Exception as e:
logging.error(e)

# Check for TaskFail model
try:
from airflow.models import TaskFail
DATABASE_OBJECTS.append({
"airflow_db_model": TaskFail,
"age_check_column": TaskFail.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
})

except Exception as e:
logging.error(e)

# Check for RenderedTaskInstanceFields model
try:
from airflow.models import RenderedTaskInstanceFields
DATABASE_OBJECTS.append({
"airflow_db_model": RenderedTaskInstanceFields,
"age_check_column": RenderedTaskInstanceFields.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
})

except Exception as e:
logging.error(e)

# Check for ImportError model
try:
from airflow.models import ImportError
DATABASE_OBJECTS.append({
"airflow_db_model": ImportError,
"age_check_column": ImportError.timestamp,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
})

except Exception as e:
logging.error(e)

# Check for celery executor
airflow_executor = str(conf.get("core", "executor"))
logging.info("Airflow Executor: " + str(airflow_executor))
if(airflow_executor == "CeleryExecutor"):
logging.info("Including Celery Modules")
try:
from celery.backends.database.models import Task, TaskSet
DATABASE_OBJECTS.extend((
{
"airflow_db_model": Task,
"age_check_column": Task.date_done,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
{
"airflow_db_model": TaskSet,
"age_check_column": TaskSet.date_done,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}))

except Exception as e:
logging.error(e)
DATABASE_OBJECTS = ['BaseJob', 'DagRun', 'TaskInstance', 'Log', 'XCom', 'SlaMiss', 'DagModel', 'TaskReschedule',
'TaskFail', 'RenderedTaskInstanceFields', 'ImportError', 'Task', 'TaskSet']

session = settings.Session()

Expand All @@ -213,7 +84,7 @@
default_args=default_args,
schedule_interval=SCHEDULE_INTERVAL,
start_date=START_DATE,
tags=['teamclairvoyant', 'airflow-maintenance-dags']
tags=['airflow-maintenance-dags']
)
if hasattr(dag, 'doc_md'):
dag.doc_md = __doc__
Expand All @@ -231,7 +102,7 @@ def print_configuration_function(**context):
"maxDBEntryAgeInDays", None
)
logging.info("maxDBEntryAgeInDays from dag_run.conf: " + str(dag_run_conf))
if (max_db_entry_age_in_days is None or max_db_entry_age_in_days < 1):
if max_db_entry_age_in_days is None or max_db_entry_age_in_days < 1:
logging.info(
"maxDBEntryAgeInDays conf variable isn't included or Variable " +
"value is less than 1. Using Default '" +
Expand Down Expand Up @@ -262,25 +133,158 @@ def print_configuration_function(**context):

def cleanup_function(**context):

database_objects_dict = {
'BaseJob': {
"airflow_db_model": BaseJob,
"age_check_column": BaseJob.latest_heartbeat,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
'DagRun': {
"airflow_db_model": DagRun,
"age_check_column": DagRun.execution_date,
"keep_last": True,
"keep_last_filters": [DagRun.external_trigger.is_(False)],
"keep_last_group_by": DagRun.dag_id
},
'TaskInstance': {
"airflow_db_model": TaskInstance,
"age_check_column": TaskInstance.run_id,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
'Log': {
"airflow_db_model": Log,
"age_check_column": Log.dttm,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
'XCom': {
"airflow_db_model": XCom,
"age_check_column": XCom.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
'SlaMiss': {
"airflow_db_model": SlaMiss,
"age_check_column": SlaMiss.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
},
'DagModel': {
"airflow_db_model": DagModel,
"age_check_column": dag_model_last_scheduler_run,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}
}

# Check for TaskReschedule model
try:
from airflow.models import TaskReschedule
database_objects_dict['TaskReschedule'] = {
"airflow_db_model": TaskReschedule,
"age_check_column": TaskReschedule.run_id,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}

except Exception as e:
logging.error(e)

# Check for TaskFail model
try:
from airflow.models import TaskFail
database_objects_dict['TaskFail'] = {
"airflow_db_model": TaskFail,
"age_check_column": TaskFail.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}

except Exception as e:
logging.error(e)

# Check for RenderedTaskInstanceFields model
try:
from airflow.models import RenderedTaskInstanceFields
database_objects_dict['RenderedTaskInstanceFields'] = {
"airflow_db_model": RenderedTaskInstanceFields,
"age_check_column": RenderedTaskInstanceFields.execution_date,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}

except Exception as e:
logging.error(e)

# Check for ImportError model
try:
from airflow.models import ImportError
database_objects_dict['ImportError'] = {
"airflow_db_model": ImportError,
"age_check_column": ImportError.timestamp,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}

except Exception as e:
logging.error(e)

# Check for celery executor
airflow_executor = str(conf.get("core", "executor"))
logging.info("Airflow Executor: " + str(airflow_executor))
if airflow_executor == "CeleryExecutor":
logging.info("Including Celery Modules")
try:
from celery.backends.database.models import Task, TaskSet
database_objects_dict['Task'] = {
"airflow_db_model": Task,
"age_check_column": Task.date_done,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}
database_objects_dict['TaskSet'] = {
"airflow_db_model": TaskSet,
"age_check_column": TaskSet.date_done,
"keep_last": False,
"keep_last_filters": None,
"keep_last_group_by": None
}

except Exception as e:
logging.error(e)

logging.info("Retrieving max_execution_date from XCom")
max_date = context["ti"].xcom_pull(
task_ids=print_configuration.task_id, key="max_date"
)
max_date = dateutil.parser.parse(max_date) # stored as iso8601 str in xcom

airflow_db_model = context["params"].get("airflow_db_model")
state = context["params"].get("state")
age_check_column = context["params"].get("age_check_column")
keep_last = context["params"].get("keep_last")
keep_last_filters = context["params"].get("keep_last_filters")
keep_last_group_by = context["params"].get("keep_last_group_by")
object_name = str(context["params"].get("object_name"))

airflow_db_model = database_objects_dict[object_name].get("airflow_db_model")
age_check_column = database_objects_dict[object_name].get("age_check_column")
keep_last = database_objects_dict[object_name].get("keep_last")
keep_last_filters = database_objects_dict[object_name].get("keep_last_filters")
keep_last_group_by = database_objects_dict[object_name].get("keep_last_group_by")

logging.info("Configurations:")
logging.info("max_date: " + str(max_date))
logging.info("enable_delete: " + str(ENABLE_DELETE))
logging.info("session: " + str(session))
logging.info("airflow_db_model: " + str(airflow_db_model))
logging.info("state: " + str(state))
logging.info("age_check_column: " + str(age_check_column))
logging.info("keep_last: " + str(keep_last))
logging.info("keep_last_filters: " + str(keep_last_filters))
Expand Down Expand Up @@ -366,10 +370,9 @@ def cleanup_function(**context):
for db_object in DATABASE_OBJECTS:
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This doesn't work if you aren't using the CeleryExecutor as Task and TaskSet don't exist. There needs to be a conditional check like on line 247.


cleanup_op = PythonOperator(
task_id='cleanup_' + str(db_object["airflow_db_model"].__name__),
task_id='cleanup_' + str(db_object),
python_callable=cleanup_function,
params=db_object,
provide_context=True,
params={'object_name': db_object},
dag=dag
)

Expand Down