Superset Dev d1a7c9e82f fix(plugin-chart-country-map): control-panel UX — validators, dynamic choices, visibility
Four UX bugs reported on the new country map chart:

1. **"Country: cannot be empty" stuck on the Data tab even at Admin 0.**
   The Country control had a hard `validators: [validateNonEmpty]`, but
   it's only rendered (and only meaningful) when admin_level != 0 and no
   composite is set. The validator was firing for the hidden empty value
   and trapped the user — the Update Chart button was permanently
   disabled with no visible control to satisfy. Switched to a dynamic
   validator via mapStateToProps so it only fires when the field is
   actually needed.

2. **"Aggregated regions" threw TypeError: t.map is not a function.**
   The region_set control used `choices: ({ controls }) => ...`, but
   SelectControl's `choices` must be a literal array. Moved the
   country-dependent choice computation into `mapStateToProps` (same
   pattern other plugins use).

3. **Composite map always visible and "sticky" overriding admin_level.**
   At Admin 0 (world choropleth) the composite override produced a map
   that didn't change when you toggled admin_level. Hidden composite
   control at Admin 0 entirely, and hidden it whenever the build
   pipeline didn't emit any composites — leaves room for future
   per-country scoping (e.g. only show france_overseas when country=FRA).

4. **Show flying islands checkbox was a no-op.** The build pipeline
   doesn't currently tag features as flying, so the runtime drop logic
   had nothing to act on. Removed from the control set rather than ship
   a misleading control; a single line brings it back once the build
   tags features.

Tests updated to cover all four behaviors.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-13 09:29:03 -07:00
2025-12-04 13:18:34 -05:00

Superset

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A modern, enterprise-ready business intelligence web application.

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  • User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
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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

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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.

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