Facet.Search

Compile-time faceted search generation for .NET, Zero boilerplate, type-safe, and performant.

Facet.Search uses source generators to automatically create search filter classes, LINQ extension methods, facet aggregations, and metadata from your domain models, all at compile time with no runtime overhead.

Features

• Zero Boilerplate - Just add attributes to your models
• Type-Safe - All filters are compile-time checked
• Performant - Generated code is as efficient as hand-written
• SQL Translated - All filters execute on the database, not in memory
• EF Core Integration - Extensions for EF Core & multiple DB providers
• Full-Text Search - Built-in text search with multiple strategies
• Facet Aggregations - Automatic counting and range detection (sync & async)
• Frontend Metadata - Generate facet metadata for UI consumption

Installation

dotnet add package Facet.Search

For Entity Framework Core integration:

dotnet add package Facet.Search.EFCore

Quick Start

1. Define Your Model

using Facet.Search; [FacetedSearch] public class Product { public int Id { get; set; } [FullTextSearch] public string Name { get; set; } = null!; [FullTextSearch(Weight = 0.5f)] public string? Description { get; set; } [SearchFacet(Type = FacetType.Categorical, DisplayName = "Brand")] public string Brand { get; set; } = null!; [SearchFacet(Type = FacetType.Range, DisplayName = "Price")] public decimal Price { get; set; } [SearchFacet(Type = FacetType.Boolean, DisplayName = "In Stock")] public bool InStock { get; set; } [SearchFacet(Type = FacetType.DateRange, DisplayName = "Created Date")] public DateTime CreatedAt { get; set; } }

2. Use Generated Code

The source generator automatically creates:

• ProductSearchFilter > Filter class with all facet properties
• ProductSearchExtensions > LINQ extension methods
• ProductFacetAggregations > Aggregation results
• ProductSearchMetadata > Facet metadata for frontends

using YourNamespace.Search; // Create a filter var filter = new ProductSearchFilter { Brand = ["Apple", "Samsung"], MinPrice = 100m, MaxPrice = 1000m, InStock = true, SearchText = "laptop", SortBy = "Price", // Sort by any facet or searchable property SortDescending = false // Ascending order }; // Apply to any IQueryable<Product> var results = products.AsQueryable() .ApplyFacetedSearch(filter) .ToList(); // Get facet aggregations var aggregations = products.AsQueryable().GetFacetAggregations(); // aggregations.Brand = { "Apple": 5, "Samsung": 3, ... } // aggregations.PriceMin = 99.99m // aggregations.PriceMax = 2499.99m // Access metadata for UI foreach (var facet in ProductSearchMetadata.Facets) { Console.WriteLine($"{facet.DisplayName} ({facet.Type})"); }

How It Works with EF Core

All generated filters are translated to SQL, no client-side evaluation for facet filters.

Filter Type	Generated Code	SQL Translation
Categorical	.Where(x => filter.Brand.Contains(x.Brand))	WHERE Brand IN ('Apple', 'Samsung')
Range	.Where(x => x.Price >= min && x.Price <= max)	WHERE Price >= @min AND Price <= @max
Boolean	.Where(x => x.InStock == true)	WHERE InStock = 1
DateRange	.Where(x => x.CreatedAt >= from)	WHERE CreatedAt >= @from
Full-Text	.Where(x => x.Name.Contains(term))	WHERE Name LIKE '%term%'

Full-Text Search Strategies

By default, full-text search uses LIKE '%term%' which works with all databases but doesn't use full-text indexes. You can configure different strategies:

[FacetedSearch(FullTextStrategy = FullTextSearchStrategy.LinqContains)] // Default: LIKE '%term%' [FacetedSearch(FullTextStrategy = FullTextSearchStrategy.SqlServerFreeText)] // SQL Server FREETEXT [FacetedSearch(FullTextStrategy = FullTextSearchStrategy.PostgreSqlFullText)] // PostgreSQL tsvector [FacetedSearch(FullTextStrategy = FullTextSearchStrategy.ClientSide)] // In-memory (use with caution) public class Product { }

Strategy	Database	Requires Index	Performance
LinqContains	All	No	Slow on large data
EfLike	All	No	Same as LinqContains
SqlServerFreeText	SQL Server	FULLTEXT index	Fast
SqlServerContains	SQL Server	FULLTEXT index	Fast
PostgreSqlFullText	PostgreSQL	GIN index	Fast
ClientSide	N/A	No	Loads to memory

EF Core Integration

Use the Facet.Search.EFCore package for async operations:

using Facet.Search.EFCore; // Async search execution var results = await dbContext.Products .ApplyFacetedSearch(filter) .ExecuteSearchAsync(); // Paginated results var pagedResult = await dbContext.Products .ApplyFacetedSearch(filter) .ToPagedResultAsync(page: 1, pageSize: 20); // pagedResult.Items, pagedResult.TotalCount, pagedResult.TotalPages // Get ALL facet aggregations asynchronously var aggregations = await dbContext.Products .GetFacetAggregationsAsync<Product, ProductFacetResults>(); // aggregations.Brand, aggregations.PriceMin/Max, aggregations.InStockTrueCount, etc. // Or individual facet aggregations var brandCounts = await dbContext.Products .AggregateFacetAsync(p => p.Brand, limit: 10); var (minPrice, maxPrice) = await dbContext.Products .GetRangeAsync(p => p.Price);

Sorting

All facet properties and properties marked with [Searchable(Sortable = true)] are automatically sortable:

// Sort by any facet property (Brand, Category, Price, etc.) var filter = new ProductSearchFilter { SortBy = "Price", SortDescending = true // false for ascending (default) }; // Sort by searchable properties [Searchable(Sortable = true)] public int Rating { get; set; } var filter = new ProductSearchFilter { SortBy = "Rating", SortDescending = false };

Validation:

• Invalid property names are ignored (lenient validation)
• Sorting is applied after filtering
• Only sortable properties can be used

Facet Types

Type	Description	Generated Filter Properties
Categorical	Discrete values (Brand, Category)	string[]? PropertyName
Range	Numeric ranges (Price, Rating)	decimal? MinPropertyName, decimal? MaxPropertyName
Boolean	True/false filters (InStock)	bool? PropertyName
DateRange	Date/time ranges	DateTime? PropertyNameFrom, DateTime? PropertyNameTo
Hierarchical	Nested categories	string[]? PropertyName

Attributes Reference

[FacetedSearch]

Marks a class for search generation.

[FacetedSearch( FilterClassName = "CustomFilter", // Custom filter class name GenerateAggregations = true, // Generate aggregation methods GenerateMetadata = true, // Generate metadata class Namespace = "Custom.Namespace", // Custom namespace for generated code FullTextStrategy = FullTextSearchStrategy.LinqContains // Full-text search strategy )] public class Product { }

[SearchFacet]

Marks a property as a filterable facet.

[SearchFacet( Type = FacetType.Categorical, // Facet type DisplayName = "Product Brand", // UI display name OrderBy = FacetOrder.Count, // Aggregation ordering (Count, Alphabetical) Limit = 10, // Max aggregation values DependsOn = "Category", // Dependent facet IsHierarchical = false, // Hierarchical category NavigationPath = "Category.Name", // For navigation properties AutoInclude = true // Auto-include in EF Core queries )] public string Brand { get; set; }

[FullTextSearch]

Marks a property for full-text search.

[FullTextSearch( Weight = 1.0f, // Search relevance weight (higher = more important) CaseSensitive = false, // Case sensitivity Behavior = TextSearchBehavior.Contains // Match behavior: Contains, StartsWith, EndsWith, Exact )] public string Name { get; set; }

[Searchable]

Marks a property as searchable but not a facet (useful for sorting).

[Searchable(Sortable = true)] public int Rating { get; set; }

Navigation Properties

Filter on related entities by specifying the navigation path:

public class Product { [SearchFacet( Type = FacetType.Categorical, DisplayName = "Category", NavigationPath = "Category.Name" // Filter on Category.Name )] public Category Category { get; set; } }

Generated Code Location

Generated files appear in your project's obj folder:

obj/Debug/net8.0/generated/Facet.Search.Generators/ > ProductSearchFilter.g.cs > ProductSearchExtensions.g.cs > ProductFacetAggregations.g.cs > ProductSearchMetadata.g.cs

Performance Tips

1. Use database indexes on facet columns for fast filtering
2. Use full-text indexes for text search on large datasets
3. Apply filters before pagination to reduce data transfer
4. Cache aggregations if they don't change frequently
5. Use Limit on categorical facets to avoid loading all distinct values

Requirements

• .NET Standard 2.0+ (for Facet.Search)
• .NET 10+ (for Facet.Search.EFCore)
• C# 9.0+

License

MIT License — see LICENSE.txt for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Related Projects

• Facet — The Facet ecosystem