Mikhail created FLINK-25883: ------------------------------- Summary: The value of DEFAULT_BUNDLE_PROCESSOR_CACHE_SHUTDOWN_THRESHOLD_S is too large Key: FLINK-25883 URL: https://issues.apache.org/jira/browse/FLINK-25883 Project: Flink Issue Type: Bug Environment: Windows, Python 3.8 Reporter: Mikhail
InĀ [this line|https://github.com/apache/flink/blob/fb38c99a38c63ba8801e765887f955522072615a/flink-python/pyflink/fn_execution/beam/beam_sdk_worker_main.py#L30], the value of DEFAULT_BUNDLE_PROCESSOR_CACHE_SHUTDOWN_THRESHOLD_S is set to 3153600000. This is more than the default value of threading.TIMEOUT_MAX on Windows Python. Due to this, "OverflowError: timeout value is too large" error is produced. Full traceback: File "G:\PycharmProjects\PyFlink\venv_from_scratch\lib\site-packages\apache_beam\runners\worker\data_plane.py", line 218, in run while not self._finished.wait(next_call - time.time()): File "C:\Python38\lib\threading.py", line 558, in wait signaled = self._cond.wait(timeout) File "C:\Python38\lib\threading.py", line 306, in wait gotit = waiter.acquire(True, timeout) OverflowError: timeout value is too large -- This message was sent by Atlassian Jira (v8.20.1#820001)