You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@flink.apache.org by "Stephan Pirson (Jira)" <ji...@apache.org> on 2021/12/07 09:17:00 UTC
[jira] [Created] (FLINK-25207) sample pyflink from documentation doesn't work in jupyter notebooks
Stephan Pirson created FLINK-25207:
--------------------------------------
Summary: sample pyflink from documentation doesn't work in jupyter notebooks
Key: FLINK-25207
URL: https://issues.apache.org/jira/browse/FLINK-25207
Project: Flink
Issue Type: Bug
Components: API / Python
Affects Versions: 1.14.0
Environment: Windows 3.10
new conda environment, python = 3.8
pip install apache-flink notebook kafka-python
Reporter: Stephan Pirson
copy/pasted the tutorial from this page:
[https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/python/datastream_tutorial/]
into a new cell of a new notebook.
called word_count(None, None)
output cell was:
{code:java}
Executing word_count example with default input data set.
Use --input to specify file input.
Printing result to stdout. Use --output to specify output path.
Exception in thread Thread-22:
Traceback (most recent call last):
File "E:\dev\Conda\envs\py38\lib\threading.py", line 932, in _bootstrap_inner
self.run()
File "E:\dev\Conda\envs\py38\lib\site-packages\apache_beam\runners\worker\data_plane.py", line 218, in run
while not self._finished.wait(next_call - time.time()):
File "E:\dev\Conda\envs\py38\lib\threading.py", line 558, in wait
signaled = self._cond.wait(timeout)
File "E:\dev\Conda\envs\py38\lib\threading.py", line 306, in wait
gotit = waiter.acquire(True, timeout)
OverflowError: timeout value is too large
{code}
In the command line where the notebook was started, the output of the job was printed:
{code:java}
WARNING: All illegal access operations will be denied in a future release
+I[To, 1]
+I[be,, 1]
etc.{code}
If not easily fixable, maybe a mention that this doesn't work well in notebooks could be useful, considering how prevalent an environment they are.
--
This message was sent by Atlassian Jira
(v8.20.1#820001)