Phillip Kelley-Dotson 4bb29b6f04 chore(spa refactor): refactoring dashboard to use api's instead of bootstrapdata (#13306)
* add hook for future async api calls

* test to see conflict

* add async middleware and update reducers

* working async dashboard load

* implement getcharts api

* add user permissions to explore and dashboard bootstrap data

* integrate api calls with getinitial state

* update namings

* accept an id or a slug in the dashboard charts api

* add permissions function

* fix merge

* update state

* get dashboard charts by id or slug

* fix undefined states

* variable names

* stop using some more bootstrap data

* fix metadata reference

* remove unused bootstrap from the template

* add errorboundry to dashboard

* refactoring, fixing

* update permissions

* add just roles

* id is supposed to be a string

* unused vars

* get datasources from api

* make onError optional

* use resource hooks, better error boundary

* add loading state for dashboardroute

* remove console

* add conditional

* more conditionals

* testing out a possible fix for cypress

* convert edit/standalone test to cypress

* remove bootstrappy assertions

* lint

* fix dashboard edit history issue

* rename stuff

* address recent native filters schema change

* remove unused getInitialState

* remove .only from test

* hooksy redux usage

* Revert "more conditionals"

This reverts commit 25c8ed61b4.

* cleanup

* undo unnecessary change

* actually need conditions here

* certainty

* Revert "certainty"

This reverts commit 77dea1915b.

* more permutations (untested yolo)

* Update superset-frontend/src/chart/chartReducer.ts

Co-authored-by: Evan Rusackas <evan@preset.io>

* import style

* comment

* cleaner dashboardInfo

* remove debug code

* use memo for getPermissions

* fix lint

* adjust name/location of DashboardPage

* move logic for REMOVE_SLICE_LEVEL_LABEL_COLORS to DAO

* stop using full_data()

* remove unused (and now useless) json=true query param

Co-authored-by: David Aaron Suddjian <aasuddjian@gmail.com>
Co-authored-by: David Aaron Suddjian <1858430+suddjian@users.noreply.github.com>
Co-authored-by: Evan Rusackas <evan@preset.io>
2021-04-12 16:10:29 -07:00
2020-03-25 22:00:41 -07:00
2021-04-09 15:21:58 +12:00

Superset

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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

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Why Superset?

Superset provides:

  • An intuitive interface for visualizing datasets and crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
  • Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) 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 postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres

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

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TypeScript 50.5%
Python 38.8%
Jupyter Notebook 6.3%
HTML 3.5%
JavaScript 0.5%
Other 0.3%