pathwaycom/pathway · error · RuntimeError

Unknown sync_mode: {self.sync_mode}

Error message

Unknown sync_mode: {self.sync_mode}

What it means

Error "Unknown sync_mode: {self.sync_mode}" thrown in pathwaycom/pathway.

Source

Thrown at python/pathway/io/airbyte/logic.py:170

        self.streams = streams
        self.sync_mode = self._sync_mode()
        self._cache: dict[api.Pointer, bytes] = {}
        self._present_keys: set[api.Pointer] = set()

    def on_event(self, payload):
        if self.sync_mode == INCREMENTAL_SYNC_MODE:
            self.next_json({"data": payload})
        elif self.sync_mode == FULL_REFRESH_SYNC_MODE:
            message = json.dumps(
                {"data": payload}, ensure_ascii=False, sort_keys=True
            ).encode("utf-8")
            key = api.ref_scalar(message)
            if self._cache.get(key) != message:
                self._cache[key] = message
                self._add(key, message)
            self._present_keys.add(key)
        else:
            raise RuntimeError(f"Unknown sync_mode: {self.sync_mode}")

    def on_state(self, state):
        self._report_offset(json.dumps(state).encode("utf-8"))
        self._enable_commits()  # A commit is done here
        self._disable_commits()  # Disable commits till the next state

    def run(self):
        self._disable_commits()
        n_times_failed = 0
        while True:
            time_before_start = time.time()
            try:
                messages = self.source.extract([self.destination.get_state()])
            except Exception:
                logging.exception(
                    "Failed to query airbyte-serverless source, retrying..."
                )
                n_times_failed += 1

View on GitHub (pinned to fa2f74a464)

Solutions

1. Use a supported sync_mode value ('full_refresh' or 'incremental').

Example fix

stream.sync_mode = 'incremental'

When it happens

Trigger: Thrown at python/pathway/io/airbyte/logic.py:170 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of pathwaycom/pathway@fa2f74a464 (2026-08-15). Data as JSON: /api/errors/8cb6bc15dab33956. Report an issue: GitHub.