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Davide Mauri

A place for my thoughts and experiences the Microsoft Data Platform

Apache Zeppelin 0.6.2 for SQL Server Docker Image updated

In order to be able to keep created notebooks and interpreters configurations when upgrading the docker image to a newer version, I changed the dockerfile to use docker volumes, as described here (if you’re interested into learning more):

Manage data in containers

to run the container, now, the command is

docker run --name zeppelin -p 8080:8080 -v /zeppelin-sqlserver/notebook -v /zeppelin-sqlserver/conf -d yorek/zeppelin-sqlserver:v0.6.2

The -v does the trick and will be very useful the first time a new image will be released, so that you’ll be able to keep all your notebooks without having to export them before and, in addition, also interpreter configurations will be preserved.

The solution used until now (sharing a volume with the host) works nice, but unfortunately works only for notebooks. If you have a lot of different interpreter configured (like me) re-configuring them every time the image is updated is really time consuming and boring.

To be sure that your container is using volumes, you can check it using the inspect command:

docker inspect zeppelin

The output is a JSON with detailed information on the container. Look for the Mounts node:

If you are using a previous version of the image, my recommendation is to download this updated one so that you’ll be ready for future updates.

If you’re not using Apache Zeppelin yet, you should really start. No matter if you are a Data Scientists or a DBA, Zeppelin is *really* useful to create nice visualization and dashboard just using T-SQL:

image

Published Friday, January 6, 2017 7:41 PM by Davide Mauri

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About Davide Mauri

Director of Software Development & Cloud Infrastructure @ Sensoria, an innovative smart garments and wearable company. After more than 15 year playing with the Microsoft Data Platform, with a specific focus on High Performance databases, Business Intelligence, Data Science and Data Architectures, he's now applying all his skills to IoT, defining architectures to crunch numbers, create nice user experiences and provide meaningful insights, all leveraging Microsoft Azure cloud. MVP on Data Platform since 2006 he has a very strong background development and love both the ER model and OO principles. He is also a fan of Agile Methodology and Automation, which he tries to apply everywhere he can, to make sure that "people think, machines do".

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