mara-mondrian 2.0.2

A python integration for the Saiku ad hoc analysis tool

Mara Mondrian

A python interface for Mondrian Server, a Mondrian XMLA server combined with the Saiku ad hoc analysis tool. Comes with

• A Makefile for running Mondrian Server locally.

• Mondrian schema generation from a Mara Schema definition.

• Mondrian cache flushing.

• Saiku authentication via Mara ACL.

 

Installation

To use the library directly, use pip:

pip install mara-mondrian

or

pip install git+https://github.com/mara/mara-mondrian.git

For an example of an integration into a flask application, have a look at the mara example project 1.

 

Running Saiku

From within a project, include .scripts/mondrian-server.mk in your project Makefile (as for example in https://github.com/mara/mara-example-project-1/blob/master/Makefile).

Running make setup-mondrian-server will create the required mondrian-server.properties file. And then running make run-mondrian-server will start Saiku and the XMLA server on port 8080:

For running Mondrian Server in production, please have a look at https://github.com/project-a/mondrian-server/blob/master/README.md.

 

Features

Mondrian schema generation

If you have a data warehouse schema defined in Mara Schema, then you can automatically create a Mondrian schema file using the function write_mondrian_schema in mara_mondrian/schema_generation.py.

Have a look at https://github.com/mara/mara-example-project-1/blob/master/app/pipelines/update_frontends/__init__.py for an example.

 

Mondrian cache flushing

The function flush_mondrian_cache in mara_mondrian/connection.py triggers a reload of the schema and a flushing of all caches in Mondrian Server.

This file also contains functions for making XMLA requests.

 

Saiku authentication via Mara ACL

Once you add the Saiku ACL resource in mara_mondrian/views.py to your project, you can easily control which users can query which cubes:

In this example, users from the "Management" group can query all cubes, and users from "Marketing" only "Customers" and "Leads" (with the exception of Thomas who can also query "Order items" and "Sellers").

Please have a look at https://github.com/project-a/mondrian-server/blob/master/README.md for how to set this up.

Please make sure that the /mondrian/saiku/authorize endpoint is white-listed from the Mara ACL, as for example in https://github.com/mara/mara-example-project-1/blob/master/app/ui/__init__.py:

monkey_patch.patch(mara_acl.config.whitelisted_uris)(lambda: ['/mara-app/navigation-bar', '/mondrian/saiku/authorize'])

 

The easiest way to try out Mara Mondrian is to run the mara example project 1.