Zeppelin 0.8.1-1904 Release Notes
The notes below relate specifically to the HPE Ezmeral Data Fabric 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 |
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Zeppelin on the Data Fabric system is a component of the Data Science Refinery solution. This release of Zeppelin is in version 1.4.0 of the Data Science Refinery.
The Data Science Refinery product is packaged as a Docker container. Data Fabric ecosystem components included in the Docker image are the same as those in the EEP 6.2 release. See EEP 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
Data Fabric product documentation is available at Zeppelin on MapR (MapR 6.1.0).
New in this Release
Zeppelin in 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 Data Science Refinery Docker files that use Docker multi-stage build instead of downloading Zeppelin RPM/DEB packages from corresponding repositories on https://package.ezmeral.hpe.com/.
Fixes
This release by Data Fabric 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 Data Fabric-DB Binary tutorials notebook according to ZEPPELIN-3587 |
Known Issues and Limitations
- MZEP-17: The HBase interpreter cannot be used to query HPE Ezmeral Data Fabric 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 Data Fabric 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 the Data Fabric Event Store using either the Livy or Spark interpreters with Data Science Refinery 1.2, if you are connecting to a Data Fabric cluster older than version 6.0.1.
- DSR-62: You cannot access the Data Fabric Event Store using either the Livy or Spark interpreters with Data Science Refinery 1.1 and 1.2, if you are connecting to a Data Fabric 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 Data Fabric PACC Known Issues for issues that apply to running Data Fabric Docker images.