Notebooks and Dashboards¶
- 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
- JUPY-571: You can now push Jupyter notebooks without output to the VCS system.
- JUPY-614, JUPY-613, and JUPY-598: You can now view Hot Tables, Database Views, and Partitioned Columns from the Table Explorer.
- JUPY-650: You can now search for clusters using the Cluster selection widget when offline notebooks are enabled and more than five clusters are in the list.
- JUPY-662: When running a Jupyter notebook using the REST API command
https://api.qubole.com/api/v1.2/commands, you can now specify whether the original notebook should be updated by using the
- JUPY-667: In isolated mode, the Livy session name is now unique, to facilitate multiple executions of a notebook in parallel.
- 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.
- 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.