Seal Report is an open-source reporting engine designed for developers who prefer working close to their data layer instead of relying on heavyweight BI platforms. It builds on SQL queries, metadata-driven models, Razor scripting, and flexible filters to produce dashboards, pivot tables, exports, and embedded reporting workflows inside .NET environments.
This series walks through the practical steps required to move from a simple SQL-backed table toward a structured reporting layer capable of supporting shared filters, dynamic joins, database-level restrictions, and authentication-aware execution. Each article focuses on one capability that gradually expands what a Seal Report installation can do.
Below is a guided overview of those steps and how they connect together.
1. Building Your First Data Table from SQL Server
The starting point of any Seal Report setup is understanding how models and elements translate into executable SQL. This article demonstrates how to define a data source, expose tables through metadata, and assemble a simple report that renders a structured dataset. Once this foundation is clear, the rest of the framework becomes easier to navigate because filters, joins, and restrictions all build on the same model-driven execution flow. It’s the natural entry point for anyone setting up their first reporting workspace or validating connectivity to an existing SQL Server environment.
2. Static and Dynamic Select Lists
Filters become much more useful when their possible values are controlled instead of entered manually. This article explains how select lists can be defined either as fixed enumerations or generated dynamically from database queries. Once introduced, they quickly become reusable building blocks that improve both usability and consistency across reports. They are especially helpful when several reports depend on the same reference data or when filter inputs must remain constrained to valid business values.
3. Applying Dependent Filters
Dependent filters allow one selection to influence the available values of another, turning a flat filter interface into a guided navigation experience. Instead of presenting users with unrelated dropdown lists, Seal Report can narrow options dynamically based on earlier selections. This approach reduces incorrect combinations and makes complex datasets easier to explore. It becomes particularly useful when working with hierarchical relationships such as country–city structures or category–product groupings.
4. Applying Custom Joins
Not every database schema is designed with reporting in mind. Custom joins provide a way to adapt metadata relationships without modifying the underlying database structure. By defining join logic directly inside Seal Report, it becomes possible to support conditional relationships and alternative join paths that better reflect reporting requirements. This flexibility is especially valuable when working with legacy schemas or environments where database changes are difficult to introduce.
5. Mapping Restrictions to SQL User-Defined Functions
Restrictions can be moved closer to the database layer by delegating filtering logic to SQL user-defined functions. Instead of embedding conditions directly inside report definitions, Seal Report can call centralized logic maintained within the database itself. This keeps metadata cleaner and ensures consistency between reporting behavior and application-level filtering rules. It is particularly effective in environments where row-level visibility already depends on database-driven access logic.
6. Sharing Filters Across Multiple Models
As reports begin to include multiple datasets, maintaining consistent filtering across them becomes essential. Shared filters make it possible to synchronize parameter values between models so that tables, pivot views, and charts all react to the same selections. This keeps dashboards predictable and easier to maintain, especially when several visual components depend on the same reporting context.
7. Creating a Pivot Table with Custom Filters
Pivot tables introduce an analytical dimension to Seal Report by allowing measures to be grouped and compared across multiple axes. Instead of presenting raw datasets only as tables, reports can summarize trends and highlight relationships between dimensions in a compact layout. Combined with custom filters, pivot tables become a powerful way to transform operational data into dashboards suitable for exploration and decision support.
8. Authentication Providers
Authentication providers allow Seal Report to retrieve execution context from external identity systems such as APIs, tokens, or session-based environments. Once user identity becomes available during report execution, filtering logic can adapt dynamically to enforce row-level visibility or tenant-specific access. This capability is particularly important when embedding Seal Report inside existing web applications where reports must respect the same security boundaries as the host system.
Remarks
Taken together, these articles describe a progression from a basic SQL-backed report toward a flexible reporting layer that supports reusable filters, database-driven restrictions, adaptive joins, synchronized dashboards, and authentication-aware execution inside real-world .NET environments.