Merge branch 'main' into update-public-interface-docs

Author: nrnavaneet

airflow-core/src/airflow/utils/db_cleanup.py

@@ -73,6 +73,7 @@ class _TableConfig:
         in the table.  to ignore certain records even if they are the latest in the table, you can
         supply additional filters here (e.g. externally triggered dag runs)
     :param keep_last_group_by: if keeping the last record, can keep the last record for each group
+    :param dependent_tables: list of tables which have FK relationship with this table
     """
 
     table_name: str
@@ -81,6 +82,10 @@ class _TableConfig:
     keep_last: bool = False
     keep_last_filters: Any | None = None
     keep_last_group_by: Any | None = None
+    # We explicitly list these tables instead of detecting foreign keys automatically,
+    # because the relationships are unlikely to change and the number of tables is small.
+    # Relying on automation here would increase complexity and reduce maintainability.
+    dependent_tables: list[str] | None = None
 
     def __post_init__(self):
         self.recency_column = column(self.recency_column_name)
@@ -104,29 +109,46 @@ def readable_config(self):
 
 config_list: list[_TableConfig] = [
     _TableConfig(table_name="job", recency_column_name="latest_heartbeat"),
-    _TableConfig(table_name="dag", recency_column_name="last_parsed_time"),
+    _TableConfig(
+        table_name="dag",
+        recency_column_name="last_parsed_time",
+        dependent_tables=["dag_version", "deadline"],
+    ),
     _TableConfig(
         table_name="dag_run",
         recency_column_name="start_date",
         extra_columns=["dag_id", "run_type"],
         keep_last=True,
         keep_last_filters=[column("run_type") != DagRunType.MANUAL],
         keep_last_group_by=["dag_id"],
+        dependent_tables=["task_instance", "deadline"],
     ),
     _TableConfig(table_name="asset_event", recency_column_name="timestamp"),
     _TableConfig(table_name="import_error", recency_column_name="timestamp"),
     _TableConfig(table_name="log", recency_column_name="dttm"),
     _TableConfig(table_name="sla_miss", recency_column_name="timestamp"),
-    _TableConfig(table_name="task_instance", recency_column_name="start_date"),
+    _TableConfig(
+        table_name="task_instance",
+        recency_column_name="start_date",
+        dependent_tables=["task_instance_history", "xcom"],
+    ),
     _TableConfig(table_name="task_instance_history", recency_column_name="start_date"),
     _TableConfig(table_name="task_reschedule", recency_column_name="start_date"),
     _TableConfig(table_name="xcom", recency_column_name="timestamp"),
     _TableConfig(table_name="_xcom_archive", recency_column_name="timestamp"),
     _TableConfig(table_name="callback_request", recency_column_name="created_at"),
     _TableConfig(table_name="celery_taskmeta", recency_column_name="date_done"),
     _TableConfig(table_name="celery_tasksetmeta", recency_column_name="date_done"),
-    _TableConfig(table_name="trigger", recency_column_name="created_date"),
-    _TableConfig(table_name="dag_version", recency_column_name="created_at"),
+    _TableConfig(
+        table_name="trigger",
+        recency_column_name="created_date",
+        dependent_tables=["task_instance"],
+    ),
+    _TableConfig(
+        table_name="dag_version",
+        recency_column_name="created_at",
+        dependent_tables=["task_instance", "dag_run"],
+    ),
     _TableConfig(table_name="deadline", recency_column_name="deadline_time"),
 ]
 
@@ -234,6 +256,7 @@ def _do_delete(
             logger.debug("delete statement:\n%s", delete.compile())
             session.execute(delete)
             session.commit()
+
         except BaseException as e:
             raise e
         finally:
@@ -414,17 +437,37 @@ def _suppress_with_logging(table: str, session: Session):
             session.rollback()
 
 
-def _effective_table_names(*, table_names: list[str] | None) -> tuple[set[str], dict[str, _TableConfig]]:
+def _effective_table_names(*, table_names: list[str] | None) -> tuple[list[str], dict[str, _TableConfig]]:
     desired_table_names = set(table_names or config_dict)
-    effective_config_dict = {k: v for k, v in config_dict.items() if k in desired_table_names}
-    effective_table_names = set(effective_config_dict)
-    if desired_table_names != effective_table_names:
-        outliers = desired_table_names - effective_table_names
+
+    outliers = desired_table_names - set(config_dict.keys())
+    if outliers:
         logger.warning(
-            "The following table(s) are not valid choices and will be skipped: %s", sorted(outliers)
+            "The following table(s) are not valid choices and will be skipped: %s",
+            sorted(outliers),
         )
-    if not effective_table_names:
+    desired_table_names = desired_table_names - outliers
+
+    visited: set[str] = set()
+    effective_table_names: list[str] = []
+
+    def collect_deps(table: str):
+        if table in visited:
+            return
+        visited.add(table)
+        config = config_dict[table]
+        for dep in config.dependent_tables or []:
+            collect_deps(dep)
+        effective_table_names.append(table)
+
+    for table_name in desired_table_names:
+        collect_deps(table_name)
+
+    effective_config_dict = {n: config_dict[n] for n in effective_table_names}
+
+    if not effective_config_dict:
         raise SystemExit("No tables selected for db cleanup. Please choose valid table names.")
+
     return effective_table_names, effective_config_dict
 
 
@@ -480,6 +523,8 @@ def run_cleanup(
     :param session: Session representing connection to the metadata database.
     """
     clean_before_timestamp = timezone.coerce_datetime(clean_before_timestamp)
+
+    # Get all tables to clean (root + dependents)
     effective_table_names, effective_config_dict = _effective_table_names(table_names=table_names)
     if dry_run:
         print("Performing dry run for db cleanup.")
@@ -491,6 +536,7 @@ def run_cleanup(
     if not dry_run and confirm:
         _confirm_delete(date=clean_before_timestamp, tables=sorted(effective_table_names))
     existing_tables = reflect_tables(tables=None, session=session).tables
+
     for table_name, table_config in effective_config_dict.items():
         if table_name in existing_tables:
             with _suppress_with_logging(table_name, session):

airflow-core/tests/unit/utils/test_db_cleanup.py

@@ -26,7 +26,7 @@
 
 import pendulum
 import pytest
-from sqlalchemy import text
+from sqlalchemy import inspect, text
 from sqlalchemy.exc import OperationalError, SQLAlchemyError
 from sqlalchemy.ext.declarative import DeclarativeMeta
 
@@ -303,6 +303,51 @@ def test__cleanup_table(self, table_name, date_add_kwargs, expected_to_delete, r
             else:
                 raise Exception("unexpected")
 
+    @pytest.mark.parametrize(
+        "table_name, expected_archived",
+        [
+            (
+                "dag_run",
+                {"dag_run", "task_instance"},  # Only these are populated
+            ),
+        ],
+    )
+    def test_run_cleanup_archival_integration(self, table_name, expected_archived):
+        """
+        Integration test that verifies:
+        1. Recursive FK-dependent tables are resolved via _effective_table_names().
+        2. run_cleanup() archives only tables with data.
+        3. Archive tables are not created for empty dependent tables.
+        """
+        base_date = pendulum.datetime(2022, 1, 1, tz="UTC")
+        num_tis = 5
+
+        # Create test data for DAG Run and TIs
+        if table_name in {"dag_run", "task_instance"}:
+            create_tis(base_date=base_date, num_tis=num_tis, run_type=DagRunType.MANUAL)
+
+        clean_before_date = base_date.add(days=10)
+
+        with create_session() as session:
+            run_cleanup(
+                clean_before_timestamp=clean_before_date,
+                table_names=[table_name],
+                dry_run=False,
+                confirm=False,
+                session=session,
+            )
+
+            # Inspect archive tables created
+            inspector = inspect(session.bind)
+            archive_tables = {
+                name for name in inspector.get_table_names() if name.startswith(ARCHIVE_TABLE_PREFIX)
+            }
+            actual_archived = {t.split("__", 1)[-1].split("__")[0] for t in archive_tables}
+
+            assert expected_archived <= actual_archived, (
+                f"Expected archive tables not found: {expected_archived - actual_archived}"
+            )
+
     @pytest.mark.parametrize(
         "skip_archive, expected_archives",
         [pytest.param(True, 1, id="skip_archive"), pytest.param(False, 2, id="do_archive")],

chart/templates/NOTES.txt

@@ -98,7 +98,11 @@ Flower dashboard:
 {{- else }}
 You can now access your dashboard(s) by executing the following command(s) and visiting the corresponding port at localhost in your browser:
 
+{{- if semverCompare "<3.0.0" .Values.airflowVersion }}
 Airflow Webserver:     kubectl port-forward svc/{{ include "airflow.fullname" . }}-webserver {{ .Values.ports.airflowUI }}:{{ .Values.ports.airflowUI }} --namespace {{ .Release.Namespace }}
+{{- else }}
+Airflow API Server:     kubectl port-forward svc/{{ include "airflow.fullname" . }}-api-server {{ .Values.ports.airflowUI }}:{{ .Values.ports.airflowUI }} --namespace {{ .Release.Namespace }}
+{{- end }}
 
 {{- if .Values.flower.enabled }}
 {{- if or (contains "CeleryExecutor" .Values.executor) (contains "CeleryKubernetesExecutor" .Values.executor)}}