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Last pushed: 10 months ago
Short Description
Cubes Viewer front-end Web UI, http://www.cubesviewer.com/
Full Description

CubesViewer

Available tags and GitHub links: v0.11 v2.0.2 (matching the corresponding releases of CubesViewer)

CubesViewer is an open-source application suite to exploit and analyze OLAP data cubes from data in an SQL database.

The CubesViewer suite consists of

  • A CubesViewer server (this image),
  • A Cubes server (not covered by this Docker image), which provides the cube's data and schema over a JSON API.

CubesViewer is written and maintained by Jose Juan Montes.

How to use this image

Quick Start

Using the data containers idiom:

docker create --name cubesviewer-data epflsti/cubesviewer:v2.0.2 /bin/true
docker run -d --restart=always --name cubesviewer \
       --volumes-from cubesviewer-data \
       -p 8080:80 \
       -e CUBESVIEWER_BACKEND_URL=http://MY-CUBESVIEWER-HOST:8080/cubesviewer \
       -e CUBESVIEWER_CUBES_URL="http://MY-CUBES-SERVER-HOST:8081" \
       epflsti/cubesviewer:v2.0.2

Be sure to replace the values for CUBESVIEWER_BACKEND_URL and CUBESVIEWER_CUBES_URL with the proper URLs for your deployment scenario. (Note how "backend" actually points to the front-end URL; this is, for better or worse, aligned with the convention in the documentation of CubesViewer itself.)

Populating the Sqlite Database

  1. Create a directory containing an initdata.sql with whatever data you want to add into the sqlite database, e.g.
    INSERT INTO "auth_user" ("id", "password",
                             "last_login", "is_superuser",
                             "username", "first_name", "last_name",
                             "email", "is_staff", "is_active", "date_joined")
           VALUES (1, 'pbkdf2_sha256$24000$xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx=',
                   '2016-10-29 12:23:09.288042',1,
                   'dominique','Dominique','Quatravaux',
                   'dominique.quatravaux@epfl.ch',1,1,'2014-10-25 12:30:12.677939');
    
  2. docker rm -f cubesviewer
  3. Re-run the Docker container like previously, adding your data directory as an additional volume – i.e. add the following somewhere on the command line: -v mydatadir:/initdata
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epflsti

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