Joe Li 3922c7fc1e fix(subdirectory): CodeQL hardening for redirect + nav helpers
Address CodeQL alerts surfaced on the subdirectory-deployment hardening
work:

- `superset/views/utils.py` (`get_explore_redirect_url`): build the
  redirect target via `url_for("ExploreView.root", **query)` instead of
  `f"{url_for(...)}?{urlencode(...)}"`. String-concat with `urlencode`
  was flagged by `py/url-redirection`; the kwargs-splat form is the
  sanctioned Flask URL builder. `parse_qs` lists are flattened to
  scalars first so the splat type-checks against Flask's `url_for`
  signature, and `loads_request_json` now coerces non-object payloads
  to `{}` so the loop guard's `.update()` chain cannot crash on a
  scalar `form_data=42`.
- `superset-frontend/src/utils/navigationUtils.ts` (`navigateTo` /
  `navigateWithState`): replace the throw-based `assertSafeNavigationUrl`
  guard with an inline regex check that CodeQL's data-flow recognises
  as a sanitiser barrier at each `window.*` sink. Behaviour is
  unchanged; the new `isSafeNavigationUrl` predicate mirrors the
  through-function guard exactly.
- `AnnotationLayer.tsx`: migrate the `<a href={ensureAppRoot(...)}>`
  shape to `<AppLink>` so the sanitiser sits inside the helper
  component CodeQL already recognises.

Test fixes wired up alongside the redirect refactor:

- `test_explore_redirect.py`: use `appbuilder.app.url_map` (the
  property `appbuilder.get_app` is gone), and assert against the
  positional `CommandParameters` dataclass passed to
  `CreateFormDataCommand` rather than kwargs.
- `test_legacy_prefix_redirect.py`: walk the `wsgi_app` chain when
  asserting the fake inner middleware survives — `create_app()` now
  inserts `ExtensionCacheMiddleware` between the shim and the test
  fake, so the layering invariant is "shim outside `init_app`'s
  wraps," not "shim's direct inner is `init_app`'s outermost wrap."
- `navigationUtils.invariants.test.ts`: drop the now-stale
  `OAuth2RedirectMessage.tsx` entry from `DIRECT_DOM_NAV_SANCTIONED`
  (the file no longer calls `window.open`).
- `ChartList.listview.test.tsx`: update the dashboard-crosslink
  expectation to `/dashboard/<id>` after the `Superset.route_base = ""`
  cleanup.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-23 10:48:08 -07:00

Superset

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A modern, enterprise-ready business intelligence web application.

Documentation

  • User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
  • Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
  • Developer Guide — Contribute to Superset or build on its REST API and extension framework.

Why Superset? | Supported Databases | Release Notes | Get Involved | 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

Video Overview

superset-video-1080p.webm


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:

Amazon Athena   Amazon DynamoDB   Amazon Redshift   Apache Doris   Apache Drill   Apache Druid   Apache Hive   Apache Impala   Apache Kylin   Apache Pinot   Apache Solr   Apache Spark SQL   Ascend   Aurora MySQL (Data API)   Aurora PostgreSQL (Data API)   Azure Data Explorer   Azure Synapse   ClickHouse   Cloudflare D1   CockroachDB   Couchbase   CrateDB   Databend   Databricks   Denodo   Dremio   DuckDB   Elasticsearch   Exasol   Firebird   Firebolt   Google BigQuery   Google Sheets   Greenplum   Hologres   IBM Db2   IBM Netezza Performance Server   MariaDB   Microsoft SQL Server   MonetDB   MongoDB   MotherDuck   OceanBase   Oracle   Presto   RisingWave   SAP HANA   SAP Sybase   Shillelagh   SingleStore   Snowflake   SQLite   StarRocks   Superset meta database   TDengine   Teradata   TimescaleDB   Trino   Vertica   YDB   YugabyteDB

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

Try out Superset's quickstart guide or learn about the options for production deployments.

Get Involved

Contributor Guide

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

Resources

Understanding the Superset Points of View

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