fix(buffered_segments): Skip producing outcomes if --skip-produce is set

src/sentry/spans/consumers/process_segments/factory.py

@@ -1,6 +1,7 @@
 import logging
 from collections.abc import Mapping
 from datetime import datetime
+from functools import partial
 
 import orjson
 from arroyo import Topic as ArroyoTopic
@@ -90,7 +91,7 @@ def create_with_partitions(
         unfold_step = Unfold(generator=_unfold_segment, next_step=produce_step)
 
         return run_task_with_multiprocessing(
-            function=_process_message,
+            function=partial(_process_message, skip_produce=self.skip_produce),
             next_step=unfold_step,
             max_batch_size=self.max_batch_size,
             max_batch_time=self.max_batch_time,
@@ -103,7 +104,9 @@ def shutdown(self) -> None:
         self.pool.close()
 
 
-def _process_message(message: Message[KafkaPayload]) -> list[Value[KafkaPayload]]:
+def _process_message(
+    message: Message[KafkaPayload], skip_produce: bool = False
+) -> list[Value[KafkaPayload]]:
     if not options.get("spans.process-segments.consumer.enable"):
         return []
 
@@ -112,7 +115,7 @@ def _process_message(message: Message[KafkaPayload]) -> list[Value[KafkaPayload]
     try:
         value = message.payload.value
         segment = orjson.loads(value)
-        processed = process_segment(segment["spans"])
+        processed = process_segment(segment["spans"], skip_produce=skip_produce)
         return [_serialize_payload(span, message.timestamp) for span in processed]
     except Exception:
         logger.exception("segments.invalid-message")

src/sentry/spans/consumers/process_segments/message.py

@@ -39,7 +39,7 @@
 
 
 @metrics.wraps("spans.consumers.process_segments.process_segment")
-def process_segment(unprocessed_spans: list[SegmentSpan]) -> list[Span]:
+def process_segment(unprocessed_spans: list[SegmentSpan], skip_produce: bool = False) -> list[Span]:
     segment_span, spans = _enrich_spans(unprocessed_spans)
     if segment_span is None:
         return spans
@@ -65,7 +65,10 @@ def process_segment(unprocessed_spans: list[SegmentSpan]) -> list[Span]:
     _create_models(segment_span, project)
     _detect_performance_problems(segment_span, spans, project)
     _record_signals(segment_span, spans, project)
-    _track_outcomes(segment_span, spans)
+
+    # Only track outcomes if we're actually producing the spans
+    if not skip_produce:
+        _track_outcomes(segment_span, spans)
 
     return spans
 

tests/sentry/spans/consumers/process_segments/test_factory.py

@@ -25,7 +25,8 @@ def build_mock_message(data, topic=None):
 
 @override_options({"spans.process-segments.consumer.enable": True})
 @mock.patch(
-    "sentry.spans.consumers.process_segments.factory.process_segment", side_effect=lambda x: x
+    "sentry.spans.consumers.process_segments.factory.process_segment",
+    side_effect=lambda x, **kwargs: x,
 )
 def test_segment_deserialized_correctly(mock_process_segment):
     topic = ArroyoTopic(get_topic_definition(Topic.BUFFERED_SEGMENTS)["real_topic_name"])

tests/sentry/spans/consumers/process_segments/test_message.py

@@ -199,3 +199,20 @@ def repeating_span():
             ).hexdigest()
         ]
         assert performance_problem.type == PerformanceStreamedSpansGroupTypeExperimental
+
+    @mock.patch("sentry.spans.consumers.process_segments.message.track_outcome")
+    def test_skip_produce_does_not_track_outcomes(self, mock_track_outcome):
+        """Test that outcomes are not tracked when skip_produce=True"""
+        spans = self.generate_basic_spans()
+
+        # Process with skip_produce=True
+        process_segment(spans, skip_produce=True)
+
+        # Verify track_outcome was not called
+        mock_track_outcome.assert_not_called()
+
+        # Process with skip_produce=False (default)
+        process_segment(spans, skip_produce=False)
+
+        # Verify track_outcome was called once
+        mock_track_outcome.assert_called_once()