Zeppelin 0.8.1-1904 Release Notes

The notes below relate specifically to the MapR Distribution of Apache Zeppelin. You may also be interested in the Apache Zeppelin 0.8. changelog and the Apache Zeppelin project homepage.

Version 0.8.1
Release Date May 2019
Source on GitHub https://github.com/mapr/zeppelin, https://github.com/mapr/livy
GitHub Release Tag 0.8.1-mapr-1904
Docker Image Name and Tags
Image Name Operating System Version of the Running Container Tag
maprtech/data-science-refinery CentOS 7.6 v1.4.0_6.1.0_6.2.0_centos7
Ubuntu 16.04 v1.4.0_6.1.0_6.2.0_ubuntu16

Zeppelin on MapR is a component of the MapR Data Science Refinery. This release of Zeppelin is in version 1.4.0 of the MapR Data Science Refinery.

The Data Science Refinery is packaged as a Docker container. MapR ecosystem components included in the Docker image are the same as those in the MEP 6.2 release. See MEP 6.2.0 Components and OS Support for details on product version numbers.

You can run the Docker image on the following operating systems:

  • Linux (CentOS 7.x, Ubuntu 14, Ubuntu 16)
  • Windows 10 Pro (64-bit)
  • Mac OS X 10.11

The following are the verified browsers:

  • Chrome 57
  • Firefox 56.0
  • Microsoft Edge 40
  • Safari 9.0

The MapR product documentation is available at Zeppelin on MapR.

New in this Release

Zeppelin in MapR Data Science Refinery 1.4.0 has updated dependencies to be compatible with MEP-6.2.0. Specifically:

  • Zeppelin is updated to 0.8.1 patch release.
  • Zeppelin is now compatible with Spark 2.4.
  • Zeppelin can be built from MapR Data Science Refinery Docker files that use Docker multi-stage build instead of downloading Zeppelin RPM/DEB packages from corresponding repositories on package.mapr.com.


This release by MapR includes the following fixes on the base Apache release. For complete details, refer to the commit log for this project in GitHub.

Commit Date (YYYY-MM-DD) Comment
706f3c3 2019-03-14 DSR-84: Switched to Docker multi-stage build
2a6ed4f 2019-04-09 DSR-88: Refactored Spark MapR-DB Binary tutorials notebook according to ZEPPELIN-3587

Known Issues and Limitations

  • MZEP-17: The HBase interpreter cannot be used to query MapR Database Binary tables
  • MZEP-79: Legends in plots do not display correctly when running the Matplotlib (Python/PySpark) example from the Zeppelin Tutorial
  • MD-2397: Zeppelin cannot connect to Drill through the JDBC driver on a secure MapR cluster when Zeppelin has Kerberos authentication enabled
  • MZEP-86: You cannot run Zeppelin as user 'root'
  • MZEP-110: You cannot use a custom R environment with Zeppelin
  • DSR-27: You cannot access MapR Event Store For Apache Kafka using either the Livy or Spark interpreters with Data Science Refinery 1.2, if you are connecting to a MapR cluster older than version 6.0.1.
  • DSR-62: You cannot access MapR Event Store using either the Livy or Spark interpreters with MapR Data Science Refinery 1.1 and 1.2, if you are connecting to a MapR 6.1.0 cluster.
  • MZEP-154: You cannot log into the Zeppelin UI using Firefox on Ubuntu 18.04.
  • ZEPPELIN-1904 - Pandas dataframe.plot does not work in the Python and PySpark interpreters

See MapR PACC Known Issues for issues that apply to running MapR Docker images.