feat(helm): add liveness and readiness for deployment webserver (#20567)

* feat(helm): add liveness and readiness for deployment webserver

* feat(helm): add example in values

* feat(helm): move config probes under supersetNode

* feat(helm): bump chart.yaml

* fix(helm): remove default values in template and use values.yaml

* fix(git): bump chart verison

* fix(json):  update the schema to get CI passing

* fix(helm): correct path for values readiness

Co-authored-by: wiktor2200 <wiktor2200@users.noreply.github.com>

Co-authored-by: Jeremy PLANCKEEL <jplanckeel.externe@bedrockstreaming.com>
Co-authored-by: Craig Rueda <craig@craigrueda.com>
Co-authored-by: wiktor2200 <wiktor2200@users.noreply.github.com>
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  5. RELEASING/
  6. requirements/
  7. RESOURCES/
  8. scripts/
  9. superset/
  10. superset-embedded-sdk/
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  44. yarn.lock
README.md

Superset

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

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 integrates well with a variety of data sources.

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:

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

Superset 2.0!

Understanding the Superset Points of View