Notebooks and Dashboards

Jupyter Notebooks (Beta)

JUPY-544: Jupyter notebooks provide Qviz with the Spark driver. Qviz allows you to visualize dataframes with improved charting options and Python plots. Gradual Rollout.
JUPY-574 and JUPY-573: You can now drag and drop objects such as tables and columns from the Object Storage Explorer to cells in a Jupyter Notebook.
JUPY-302: You can now transfer data from the local kernel to Spark using %%send_to_spark magic.
JUPY-578: You can now enable Jupyter Notebooks using the Feature Opt-In page.

JUPY-571: You can now push Jupyter notebooks without output to the VCS system.

JUPY-694: Fixes a problem that caused the Spark session to be terminated when there were active tasks.
JUPY-603: Fixes a problem that caused Spark application startup to fail because of a conflict with some third party JARs.

ZEP-3231: Users can view data values for individual bars on top of single bar charts. Contact Qubole Support to enable pre-fetching.

ZEP-4497: Code highlighting in Zeppelin notebooks was lost intermittently in both offline and online modes. This issue is fixed.
ZEP-4588: The Run all option submitted only loaded paragraphs instead of submitting all the paragraphs in a Zeppelin notebook. This issue is fixed.
ZEP-4303: Old paragraph results were displayed after the new paragraph run had started. This issue is fixed.
ZEP-4040: Terminates the Conda process for Python packages after 20 minutes of inactivity. You can configure this timeout by means of the quboled.package_installation_timeout variable.