TensorFlowOnSpark: ssl problem when installing pip

I am installing TensorFlowOnSpark on a Google dataproc which also ready have Python and Openssl installed. I followed the guidance for Yarn cluster and met these question when running get-pip.py

pip is configured with locations that require TLS/SSL, however the ssl module in Python is not available.
Collecting pip
  Could not fetch URL https://pypi.python.org/simple/pip/: There was a problem confirming the ssl certificate: Can't connect to HTTPS URL because the SSL module is not available. - skipping
  Could not find a version that satisfies the requirement pip (from versions: )
No matching distribution found for pip

About this issue

Original URL
State: closed
Created 7 years ago
Comments: 16 (7 by maintainers)

Most upvoted comments

Yes, we require that each executor only runs one task at a time (and no dynamic allocation). The exact configuration depends on your spark version/setup, but you might be able to try --executor-cores 1.

leewyang on Apr 11, 2017