Incompatible Changes in Cloudera Data Science Workbench 1.1.0

DSE-2088 Upgrading from version 1.0.x to 1.1.x

During the upgrade process, you will encounter incompatibilities between the two versions of cdsw.conf. This is because even though you are installing the latest RPM, your previous configuration settings in cdsw.conf will remain unchanged. Depending on the release you are upgrading from, you will need to modify cdsw.conf to ensure it passes the validation checks run by the 1.1.x release.
Key changes to note:
- JAVA_HOME is now a required parameter. Make sure you add JAVA_HOME to cdsw.conf before you start Cloudera Data Science Workbench.
- Previous versions allowed MASTER_IP to be set to a DNS hostname. If you are still using a DNS hostname, switch to an IP address.
DSE-2133 Python engine updated in version 1.1.x
Version 1.1.x includes an updated base engine image for Python which no longer uses the deprecated pylab mode in Jupyter to import the numpy and matplotlib functions into the global scope. With version 1.1.x, engines will now use built-in functions like any rather than the pylab counterpart, numpy.any. As a result of this change, you might see certain behavioral changes and differences in results between the two versions.

Also note that Python projects originally created with engine 1 will be running pandas version 0.19, and will not auto-upgrade to version 0.20 by simply selecting engine 2. You will also need to manually install version 0.20.1 of pandas when you launch a project session.