howardyoo commented on code in PR #40802:
URL: https://github.com/apache/airflow/pull/40802#discussion_r1683583354


##########
airflow/dag_processing/manager.py:
##########
@@ -562,118 +568,144 @@ def _run_parsing_loop(self):
             # in sync mode we need to be told to start a "loop"
             self.start_new_processes()
         while True:
-            loop_start_time = time.monotonic()
-            ready = multiprocessing.connection.wait(self.waitables.keys(), 
timeout=poll_time)
-            self.heartbeat()
-            if self._direct_scheduler_conn is not None and 
self._direct_scheduler_conn in ready:
-                agent_signal = self._direct_scheduler_conn.recv()
-
-                self.log.debug("Received %s signal from 
DagFileProcessorAgent", agent_signal)
-                if agent_signal == DagParsingSignal.TERMINATE_MANAGER:
-                    self.terminate()
-                    break
-                elif agent_signal == DagParsingSignal.END_MANAGER:
-                    self.end()
-                    sys.exit(os.EX_OK)
-                elif agent_signal == DagParsingSignal.AGENT_RUN_ONCE:
-                    # continue the loop to parse dags
-                    pass
-                elif isinstance(agent_signal, CallbackRequest):
-                    self._add_callback_to_queue(agent_signal)
-                else:
-                    raise ValueError(f"Invalid message {type(agent_signal)}")
-
-            if not ready and not self._async_mode:
-                # In "sync" mode we don't want to parse the DAGs until we
-                # are told to (as that would open another connection to the
-                # SQLite DB which isn't a good practice
-
-                # This shouldn't happen, as in sync mode poll should block for
-                # ever. Lets be defensive about that.
-                self.log.warning(
-                    "wait() unexpectedly returned nothing ready after infinite 
timeout (%r)!", poll_time
-                )
-
-                continue
-
-            for sentinel in ready:
-                if sentinel is not self._direct_scheduler_conn:
-                    processor = self.waitables.get(sentinel)
-                    if processor:
-                        self._collect_results_from_processor(processor)
-                        self.waitables.pop(sentinel)
-                        self._processors.pop(processor.file_path)
-
-            if self.standalone_dag_processor:
-                self._fetch_callbacks(max_callbacks_per_loop)
-            self._scan_stale_dags()
-            DagWarning.purge_inactive_dag_warnings()
-            refreshed_dag_dir = self._refresh_dag_dir()
-
-            self._kill_timed_out_processors()
-
-            # Generate more file paths to process if we processed all the 
files already. Note for this
-            # to clear down, we must have cleared all files found from 
scanning the dags dir _and_ have
-            # cleared all files added as a result of callbacks
-            if not self._file_path_queue:
-                self.emit_metrics()
-                self.prepare_file_path_queue()
-
-            # if new files found in dag dir, add them
-            elif refreshed_dag_dir:
-                self.add_new_file_path_to_queue()
-
-            self._refresh_requested_filelocs()
-            self.start_new_processes()
-
-            # Update number of loop iteration.
-            self._num_run += 1
-
-            if not self._async_mode:
-                self.log.debug("Waiting for processors to finish since we're 
using sqlite")
-                # Wait until the running DAG processors are finished before
-                # sending a DagParsingStat message back. This means the Agent
-                # can tell we've got to the end of this iteration when it sees
-                # this type of message
-                self.wait_until_finished()
-
-            # Collect anything else that has finished, but don't kick off any 
more processors
-            self.collect_results()
+            with Trace.start_span(span_name="dag_parsing_loop", 
component="DagFileProcessorManager") as span:
+                loop_start_time = time.monotonic()
+                ready = multiprocessing.connection.wait(self.waitables.keys(), 
timeout=poll_time)
+                self.heartbeat()
+                if span.is_recording():
+                    span.add_event(name="heartbeat()")
+                if self._direct_scheduler_conn is not None and 
self._direct_scheduler_conn in ready:
+                    agent_signal = self._direct_scheduler_conn.recv()
+
+                    self.log.debug("Received %s signal from 
DagFileProcessorAgent", agent_signal)
+                    if agent_signal == DagParsingSignal.TERMINATE_MANAGER:
+                        self.terminate()
+                        if span.is_recording():
+                            span.add_event(name="terminate()")
+                        break
+                    elif agent_signal == DagParsingSignal.END_MANAGER:
+                        self.end()
+                        if span.is_recording():
+                            span.add_event(name="end()")
+                        sys.exit(os.EX_OK)
+                    elif agent_signal == DagParsingSignal.AGENT_RUN_ONCE:
+                        # continue the loop to parse dags
+                        pass
+                    elif isinstance(agent_signal, CallbackRequest):
+                        self._add_callback_to_queue(agent_signal)
+                    else:
+                        raise ValueError(f"Invalid message 
{type(agent_signal)}")
+
+                if not ready and not self._async_mode:
+                    # In "sync" mode we don't want to parse the DAGs until we
+                    # are told to (as that would open another connection to the
+                    # SQLite DB which isn't a good practice
+
+                    # This shouldn't happen, as in sync mode poll should block 
for
+                    # ever. Lets be defensive about that.
+                    self.log.warning(
+                        "wait() unexpectedly returned nothing ready after 
infinite timeout (%r)!", poll_time
+                    )
 
-            self._print_stat()
+                    continue
 
-            all_files_processed = all(self.get_last_finish_time(x) is not None 
for x in self.file_paths)
-            max_runs_reached = self.max_runs_reached()
+                for sentinel in ready:
+                    if sentinel is not self._direct_scheduler_conn:
+                        processor = self.waitables.get(sentinel)
+                        if processor:
+                            self._collect_results_from_processor(processor)
+                            self.waitables.pop(sentinel)
+                            self._processors.pop(processor.file_path)
+
+                if self.standalone_dag_processor:
+                    self._fetch_callbacks(max_callbacks_per_loop)
+                self._scan_stale_dags()
+                DagWarning.purge_inactive_dag_warnings()
+                refreshed_dag_dir = self._refresh_dag_dir()
+
+                self._kill_timed_out_processors()
+                if span.is_recording():
+                    span.add_event(name="_kill_timed_out_processors()")

Review Comment:
   > This pattern is repeated a LOT. For future consideration, I wonder if 
there might be a way to add a decorator to the classes which adds an event when 
it is called. It would mean storing span as a class object (as self.span) and 
maybe something roughly along the lines of
   > 
   > ```
   > def addBasicTraceEvent(self, func):
   >     def wrapper(self, func):
   >         if self.span.is_recording():
   >             span.add_event(name=func.__name__)
   >     return wrapper
   > ```
   > 
   > then just adding the @addBasicTraceEvent decorator to each of these 
methods that don't have an attributes value. Maybe that could be a future 
project for someone.
   
   Yes, definitely think the pattern can be wrapped to a decorator. I'd like to 
defer this to the next project :-) 



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