superset
Apache Superset is a Data Visualization and Data Exploration Platform
Extend Apache Superset authentication and authorization by subclassing SupersetSecurityManager. Implement custom permissions with addPermissionViewMenu and set CUSTOM_SECURITY_MANAGER.
How to Configure Feature Flags in Apache Superset: Enabling and Disabling Experimental Functionality**Apache Superset controls experimental and optional functionality through a three-layer feature flag system defined in [`superset/config.py`](https://github.com/apache/superset/blob/main/superset/config.py) and managed by `Fea...
How to Set Up and Manage Thumbnail Generation and Dashboard Caching in Apache SupersetLearn to set up and manage thumbnail generation and dashboard caching in Apache Superset. Utilize Celery workers, Redis, and API triggers for efficient data visualization.
How to Implement Custom Jinja Template Processors in Apache SupersetLearn to implement custom Jinja template processors in Apache Superset. Extend Jinja context by subclassing BaseTemplateProcessor and configuring it. Boost your data visualization.
How to Manage Database Connections in Apache Superset: Connection Pooling and Async Execution GuideLearn how to manage Apache Superset database connections with connection pooling and async execution. Optimize performance by configuring SQLAlchemy engine pooling and leveraging Celery workers.
How Apache Superset's Frontend Architecture Combines React, Redux, and @superset-ui/coreExplore Apache Superset's frontend architecture, detailing how React, Redux, and @superset-ui/core work together for efficient UI development and global state management in this TypeScript SPA.
How to Configure Time Series Features in Apache Superset: Time Grain, Comparison, and ForecastingMaster Apache Superset time series features. Configure time grain, comparisons, and forecasting to visualize, analyze, and predict your data effectively.
How to Use the Advanced Data Types System in Apache Superset for Custom Data Type HandlingMaster Apache Superset's advanced data types system. Register custom column types for automatic data handling, conversion, validation, and UI rendering. Learn how to customize your data today.
How to Implement Column-Level Security and Dataset-Level Access Control in Apache Superset**Column-level security in Apache Superset is enforced through Row Level Security (RLS) filters that inject SQL clauses into queries, while dataset-level access control uses FAB permissions evaluated via `get_dataset_access_fil...
How to Optimize Query Performance with Query Caching, Prefetching, and Result Handlers in Apache SupersetOptimize Superset query performance with caching prefetching and result handlers Learn how to reduce dashboard latency and speed up data exploration
How to Create and Manage Annotation Layers for Contextual Data Visualization in Apache SupersetLearn how to create and manage annotation layers in Apache Superset. Overlay contextual events onto charts for enhanced data interpretation and create impactful visualizations.
How to Add Support for a New Database Dialect in Superset's db_engine_specs: A Complete GuideLearn to add a new database dialect to Superset's db_engine_specs. Follow our guide to define attributes and metadata for seamless integration. Maximize your data connectivity today.
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