Rename DagBag.store_serialized_dags to Dagbag.read_dags_from_db

UPDATING.md

@@ -1442,6 +1442,40 @@ Now the `dag_id` will not appear repeated in the payload, and the response forma
 }
 ```
 
+### Change in DagBag signature
+
+Passing `store_serialized_dags` argument to DagBag.__init__ and accessing `DagBag.store_serialized_dags` property
+are deprecated and will be removed in future versions.
+
+
+**Previous signature**:
+
+```python
+DagBag(
+    dag_folder=None,
+    include_examples=conf.getboolean('core', 'LOAD_EXAMPLES'),
+    safe_mode=conf.getboolean('core', 'DAG_DISCOVERY_SAFE_MODE'),
+    store_serialized_dags=False
+):
+```
+
+**current**:
+```python
+DagBag(
+    dag_folder=None,
+    include_examples=conf.getboolean('core', 'LOAD_EXAMPLES'),
+    safe_mode=conf.getboolean('core', 'DAG_DISCOVERY_SAFE_MODE'),
+    read_dags_from_db=False
+):
+```
+
+If you were using positional arguments, it requires no change but if you were using keyword
+arguments, please change `store_serialized_dags` to `read_dags_from_db`.
+
+Similarly, if you were using `DagBag().store_serialized_dags` property, change it to
+`DagBag().read_dags_from_db`.
+
+
 ## Airflow 1.10.11
 
 ### Use NULL as default value for dag.description

airflow/api/common/experimental/__init__.py

@@ -32,7 +32,7 @@ def check_and_get_dag(dag_id: str, task_id: Optional[str] = None) -> DagModel:
 
     dagbag = DagBag(
         dag_folder=dag_model.fileloc,
-        store_serialized_dags=conf.getboolean('core', 'store_serialized_dags')
+        read_dags_from_db=conf.getboolean('core', 'store_serialized_dags')
     )
     dag = dagbag.get_dag(dag_id)  # prefetch dag if it is stored serialized
     if dag_id not in dagbag.dags:

airflow/api/common/experimental/trigger_dag.py

@@ -120,7 +120,7 @@ def read_store_serialized_dags():
         return conf.getboolean('core', 'store_serialized_dags')
     dagbag = DagBag(
         dag_folder=dag_model.fileloc,
-        store_serialized_dags=read_store_serialized_dags()
+        read_dags_from_db=read_store_serialized_dags()
     )
     dag_run = DagRun()
     triggers = _trigger_dag(

airflow/models/dagbag.py

@@ -23,6 +23,7 @@
 import os
 import sys
 import textwrap
+import warnings
 import zipfile
 from datetime import datetime, timedelta
 from typing import Dict, List, NamedTuple, Optional
@@ -69,34 +70,43 @@ class DagBag(BaseDagBag, LoggingMixin):
     :param include_examples: whether to include the examples that ship
         with airflow or not
     :type include_examples: bool
-    :param store_serialized_dags: Read DAGs from DB if store_serialized_dags is ``True``.
+    :param read_dags_from_db: Read DAGs from DB if store_serialized_dags is ``True``.
         If ``False`` DAGs are read from python files. This property is not used when
         determining whether or not to write Serialized DAGs, that is done by checking
         the config ``store_serialized_dags``.
-    :type store_serialized_dags: bool
+    :type read_dags_from_db: bool
     """
 
     DAGBAG_IMPORT_TIMEOUT = conf.getint('core', 'DAGBAG_IMPORT_TIMEOUT')
     SCHEDULER_ZOMBIE_TASK_THRESHOLD = conf.getint('scheduler', 'scheduler_zombie_task_threshold')
 
     def __init__(
-            self,
-            dag_folder: Optional[str] = None,
-            include_examples: bool = conf.getboolean('core', 'LOAD_EXAMPLES'),
-            safe_mode: bool = conf.getboolean('core', 'DAG_DISCOVERY_SAFE_MODE'),
-            store_serialized_dags: bool = False,
+        self,
+        dag_folder: Optional[str] = None,
+        include_examples: bool = conf.getboolean('core', 'LOAD_EXAMPLES'),
+        safe_mode: bool = conf.getboolean('core', 'DAG_DISCOVERY_SAFE_MODE'),
+        read_dags_from_db: bool = False,
+        store_serialized_dags: Optional[bool] = None,
     ):
         # Avoid circular import
         from airflow.models.dag import DAG
         super().__init__()
+
+        if store_serialized_dags:
+            warnings.warn(
+                "The store_serialized_dags parameter has been deprecated. "
+                "You should pass the read_dags_from_db parameter.",
+                DeprecationWarning, stacklevel=2)
+            read_dags_from_db = store_serialized_dags
+
         dag_folder = dag_folder or settings.DAGS_FOLDER
         self.dag_folder = dag_folder
         self.dags: Dict[str, DAG] = {}
         # the file's last modified timestamp when we last read it
         self.file_last_changed: Dict[str, datetime] = {}
         self.import_errors: Dict[str, str] = {}
         self.has_logged = False
-        self.store_serialized_dags = store_serialized_dags
+        self.read_dags_from_db = read_dags_from_db
 
         self.collect_dags(
             dag_folder=dag_folder,
@@ -109,6 +119,15 @@ def size(self) -> int:
         """
         return len(self.dags)
 
+    @property
+    def store_serialized_dags(self) -> bool:
+        """Whether or not to read dags from DB"""
+        warnings.warn(
+            "The store_serialized_dags property has been deprecated. "
+            "Use read_dags_from_db instead.", DeprecationWarning, stacklevel=2
+        )
+        return self.read_dags_from_db
+
     @property
     def dag_ids(self) -> List[str]:
         return list(self.dags.keys())
@@ -123,8 +142,8 @@ def get_dag(self, dag_id):
         # Avoid circular import
         from airflow.models.dag import DagModel
 
-        # Only read DAGs from DB if this dagbag is store_serialized_dags.
-        if self.store_serialized_dags:
+        # Only read DAGs from DB if this dagbag is read_dags_from_db.
+        if self.read_dags_from_db:
             # Import here so that serialized dag is only imported when serialization is enabled
             from airflow.models.serialized_dag import SerializedDagModel
             if dag_id not in self.dags:
@@ -363,7 +382,7 @@ def collect_dags(
         **Note**: The patterns in .airflowignore are treated as
         un-anchored regexes, not shell-like glob patterns.
         """
-        if self.store_serialized_dags:
+        if self.read_dags_from_db:
             return
 
         self.log.info("Filling up the DagBag from %s", dag_folder)
@@ -439,7 +458,7 @@ def sync_to_db(self):
         self.log.debug("Calling the DAG.bulk_sync_to_db method")
         DAG.bulk_sync_to_db(self.dags.values())
         # Write Serialized DAGs to DB if DAG Serialization is turned on
-        # Even though self.store_serialized_dags is False
+        # Even though self.read_dags_from_db is False
         if settings.STORE_SERIALIZED_DAGS:
             self.log.debug("Calling the SerializedDagModel.bulk_sync_to_db method")
             SerializedDagModel.bulk_sync_to_db(self.dags.values())

airflow/www/extensions/init_dagbag.py

@@ -29,4 +29,4 @@ def init_dagbag(app):
     if os.environ.get('SKIP_DAGS_PARSING') == 'True':
         app.dag_bag = DagBag(os.devnull, include_examples=False)
     else:
-        app.dag_bag = DagBag(DAGS_FOLDER, store_serialized_dags=STORE_SERIALIZED_DAGS)
+        app.dag_bag = DagBag(DAGS_FOLDER, read_dags_from_db=STORE_SERIALIZED_DAGS)

tests/api_connexion/endpoints/test_dag_endpoint.py

@@ -128,7 +128,7 @@ def test_should_response_200(self):
     def test_should_response_200_serialized(self):
         # Create empty app with empty dagbag to check if DAG is read from db
         app_serialized = app.create_app(testing=True)  # type:ignore
-        dag_bag = DagBag(os.devnull, include_examples=False, store_serialized_dags=True)
+        dag_bag = DagBag(os.devnull, include_examples=False, read_dags_from_db=True)
         app_serialized.dag_bag = dag_bag  # type:ignore
         client = app_serialized.test_client()
 

tests/api_connexion/endpoints/test_task_endpoint.py

@@ -95,7 +95,7 @@ def test_should_response_200(self):
     def test_should_response_200_serialized(self):
         # Create empty app with empty dagbag to check if DAG is read from db
         app_serialized = app.create_app(testing=True)  # type:ignore
-        dag_bag = DagBag(os.devnull, include_examples=False, store_serialized_dags=True)
+        dag_bag = DagBag(os.devnull, include_examples=False, read_dags_from_db=True)
         app_serialized.dag_bag = dag_bag  # type:ignore
         client = app_serialized.test_client()
 

tests/jobs/test_scheduler_job.py

@@ -128,9 +128,9 @@ def create_test_dag(self, start_date=DEFAULT_DATE, end_date=DEFAULT_DATE + timed
     @patch("airflow.models.dagbag.settings.STORE_SERIALIZED_DAGS", True)
     def setUpClass(cls):
         # Ensure the DAGs we are looking at from the DB are up-to-date
-        non_serialized_dagbag = DagBag(store_serialized_dags=False, include_examples=False)
+        non_serialized_dagbag = DagBag(read_dags_from_db=False, include_examples=False)
         non_serialized_dagbag.sync_to_db()
-        cls.dagbag = DagBag(store_serialized_dags=True)
+        cls.dagbag = DagBag(read_dags_from_db=True)
 
     def test_dag_file_processor_sla_miss_callback(self):
         """
@@ -1373,9 +1373,9 @@ def setUp(self):
     @patch("airflow.models.dagbag.settings.STORE_SERIALIZED_DAGS", True)
     def setUpClass(cls):
         # Ensure the DAGs we are looking at from the DB are up-to-date
-        non_serialized_dagbag = DagBag(store_serialized_dags=False, include_examples=False)
+        non_serialized_dagbag = DagBag(read_dags_from_db=False, include_examples=False)
         non_serialized_dagbag.sync_to_db()
-        cls.dagbag = DagBag(store_serialized_dags=True)
+        cls.dagbag = DagBag(read_dags_from_db=True)
 
     def test_is_alive(self):
         job = SchedulerJob(None, heartrate=10, state=State.RUNNING)

tests/models/test_dagbag.py

@@ -642,7 +642,7 @@ def test_deactivate_unknown_dags(self):
     def test_serialized_dags_are_written_to_db_on_sync(self):
         """
         Test that when dagbag.sync_to_db is called the DAGs are Serialized and written to DB
-        even when dagbag.store_serialized_dags is False
+        even when dagbag.read_dags_from_db is False
         """
         with create_session() as session:
             serialized_dags_count = session.query(func.count(SerializedDagModel.dag_id)).scalar()
@@ -653,7 +653,7 @@ def test_serialized_dags_are_written_to_db_on_sync(self):
                 include_examples=False)
             dagbag.sync_to_db()
 
-            self.assertFalse(dagbag.store_serialized_dags)
+            self.assertFalse(dagbag.read_dags_from_db)
 
             new_serialized_dags_count = session.query(func.count(SerializedDagModel.dag_id)).scalar()
             self.assertEqual(new_serialized_dags_count, 1)