Table of contents

Limitations and known issues for DSX Desktop

The following limitations and known issues apply to Data Science Experience (DSX) Desktop:

Some DSX features are not supported

DSX Desktop does not support the full set of features from DSX on Cloud, including:

  • Catalog support
  • Dynamic content on the community page
  • Administration

Brunel requirements

To use Brunel in a notebook, you need the installation that includes Anaconda with Spark (Python 2.7/3.5, Scala, R). Be sure to switch to the Python 2 kernel. From within the notebook, click Kernel > Change Kernel > Python 2. Brunel is not supported with Python 3.5.

Shows the menu to switch the kernel

The Brunel libraries for R are not automaticallly installed. To install them, follow the instructions at https://github.com/Brunel-Visualization/Brunel/tree/master/R.

Pixiedust requirements

To use Pixiedust in a notebook, you need the installation that includes Anaconda with Spark (Python 2.7/3.5, Scala, R). The Pixiedust package works only with Python 3.5. The Scala magics functionality is not supported for Pixiedust.

Sample notebook restrictions

The following sample notebooks use Spark and run only if you have the installation that includes Anaconda with Spark (Python 2.7/3.5, Scala, R):

  • Spark for Python
  • Spark for R
  • Spark for Scala
  • Analyzing energy consumption in buildings
  • Learn basics about notebooks and Apache Spark

In addition, the Visualize car data with Brunel sample notebook requires the installation that includes Anaconda with Spark (Python 2.7/3.5, Scala, R). Brunel is not supported with Python 3.5.