Book Image

Apache Superset Quick Start Guide

By : Shashank Shekhar
Book Image

Apache Superset Quick Start Guide

By: Shashank Shekhar

Overview of this book

Apache Superset is a modern, open source, enterprise-ready business intelligence (BI) web application. With the help of this book, you will see how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization using Superset. First, we look at the fundamentals of Superset, and then get it up and running. You'll go through the requisite installation, configuration, and deployment. Then, we will discuss different columnar data types, analytics, and the visualizations available. You'll also see the security tools available to the administrator to keep your data safe. You will learn how to visualize relationships as graphs instead of coordinates on plain orthogonal axes. This will help you when you upload your own entity relationship dataset and analyze the dataset in new, different ways. You will also see how to analyze geographical regions by working with location data. Finally, we cover a set of tutorials on dashboard designs frequently used by analysts, business intelligence professionals, and developers.
Table of Contents (10 chapters)

Caching queries

Superset uses Flask-Cache for cache management and Flask-Cache provides support for many backend implementations that fit different use cases.

Redis is the recommended cache backend for Superset. But if you do not expect many users to use your Superset installation, then FileSystemCache is a good alternative to a Redis server.

The following are some of the cache implementations that are available, with a description and their configuration variables:

Description and configuration
Uses a local Python dictionary to store results. This is not really safe when using multiple workers on the web server.

Uses the filesystem to store cached values. The CACHE_DIR variable is the directory path used by FileSystemCache.


Uses a memcached server to store values. Requires the pylibmc Python package installed in the...