def METHOD_NAME(self):
    with Feature(
        {
            "organizations:transaction-metrics-extraction": True,
        }
    ):
        event_data = {
            "type": "transaction",
            "transaction": "foo",
            "transaction_info": {"source": "url"},  # 'transaction' tag not extracted
            "timestamp": iso_format(before_now(seconds=1)),
            "start_timestamp": iso_format(before_now(seconds=2)),
            "contexts": {
                "trace": {
                    "trace_id": 32 * "b",
                    "span_id": 16 * "c",
                    "type": "trace",
                }
            },
            "user": {"id": 123},
            "measurements": {
                "fp": {"value": 2258.060000000114},
                "fcp": {"value": 2258.060000000114},
                "lcp": {"value": 2807.335},
                "inp": {"value": 51.318},
                "fid": {"value": 3.4900000027846545},
                "cls": {"value": 0.0382},
                "frames_total": {"value": 100},
                "frames_slow": {"value": 10},
                "frames_frozen": {"value": 5},
                "stall_count": {"value": 2},
                "stall_total_time": {"value": 12},
                "stall_longest_time": {"value": 7},
                "app_start_warm": {"value": 0.001},
                "app_start_cold": {"value": 0.001},
                "ttfb": {"value": 5},
                "ttfb.requesttime": {"value": 6},
            },
            "spans": [
                {
                    "op": op,
                    "trace_id": 32 * "b",
                    "span_id": 16 * "1",
                    "start_timestamp": iso_format(before_now(seconds=2)),
                    "timestamp": iso_format(before_now(seconds=1)),
                }
                for op in ("db", "http", "resource", "browser", "ui")
            ],
        }
        settings = {
            "bootstrap.servers": "127.0.0.1:9092",  # TODO: read from django settings here
            "group.id": "test-consumer-%s" % uuid.uuid4().hex,
            "enable.auto.commit": True,
            "auto.offset.reset": "earliest",
        }
        consumer = kafka.Consumer(settings)
        consumer.assign([kafka.TopicPartition("ingest-metrics", 0)])
        self.post_and_retrieve_event(event_data)
        strings_emitted = set()
        for _ in range(1000):
            message = consumer.poll(timeout=1.0)
            if message is None:
                break
            message = json.loads(message.value())
            if message["project_id"] == self.project.id:
                strings_emitted.add(message["name"])
                for key, value in message["tags"].items():
                    strings_emitted.add(key)
                    strings_emitted.add(value)
        consumer.close()
        #: These strings should be common strings, but we cannot add them
        #: to the indexer because they already exist in the release health
        #: indexer db.
        known_non_common_strings = {
            "other",
            "platform",
            "d:transactions/measurements.inp@millisecond",
        }
        # Make sure that all the standard strings are part of the list of common strings:
        non_common_strings = strings_emitted - SHARED_STRINGS.keys()
        assert non_common_strings == known_non_common_strings