cccs-Dustin 5a5ff99c37 fix(SQL Editor): names new query tabs correctly (#18951)
* Added in code changes that now properly increment the Untitled Query SQL Lab tab names. All that is left is to add tests to make sure that the function works correctly

* Updated the code so that it adds to the untitled_query_numbers variable only if the character after the string 'Untitled Query ' is a number. This prevents any issues when trying to get the maximum value in the list.

* Refactored part of the mapping code, to make it shorter and easier to read/understand

* Fixed issues in the code that were causing some of the CI tests to fail

* Made code changes based on comments within the PR. Also added a unit test to make sure that the newQueryEditor function in the TabbedSqlEditors component works as intended

* Fixed the failing cypress test in tabs.test.js
2022-03-04 18:28:30 +02:00
2022-02-20 21:03:01 +02:00
2021-11-30 16:37:23 +08:00
2019-11-20 15:47:06 +00:00
2022-01-04 17:01:42 +02:00
2022-01-14 10:22:30 -05:00
2020-03-25 22:00:41 -07:00
2022-02-18 20:49:12 -05:00
2021-10-14 08:07:47 -07:00
2022-03-03 16:25:48 -05:00

Superset

License GitHub release (latest SemVer) Build Status PyPI version Coverage Status PyPI Get on Slack Documentation

Superset

A modern, enterprise-ready business intelligence web application.

Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

redshift google-biquery snowflake trino presto druid firebolt timescale rockset postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres netezza pinot teradata yugabyte

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

Get Involved

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources

Languages
TypeScript 50.4%
Python 38.9%
Jupyter Notebook 6.3%
HTML 3.5%
JavaScript 0.5%
Other 0.3%