SQL Query Builder for .NET

The SqlBuilder

The SQL Query Builder is a straightforward framework that empowers .NET developers to craft SQL-like queries, directly interacting with SQL Server datastores.

It provides a SQL-like flow for writing queries, allowing you to intuitively leverage the full capabilities of your SQL Database. With this we can:

• Easy to Use: Write familiar SQL syntax within your .NET code..
• Efficient: Optimize queries for performance and efficiency, tapping into SQL Server's native strengths.
• Unlock SQL: Maintain database control, utilizing advanced SQL features.

Essentially, it bridges the gap between your program i.e. C#, VB.net, etc. application and the raw power of your SQL Server, making database interactions more intuitive and efficient.

var (sql, parameters) = new SqlQueryBuilder()  
                   .Select()  
                  .Column("P.ProductName", "ProductName")  
                  .Column("S.CompanyName", "SupplierName")  
                  .Column("C.CategoryName", "CategoryName")  
                  .Column("P.UnitPrice", "UnitPrice")  
                  .From("Products", "P")  
                   .Join(new List()  
                   {  
                      new INNERJOIN().TableName("Suppliers","S")  
                        .On(new Column("P.SupplierID").Equale(new Column("S.SupplierID"))),  
                      new INNERJOIN().TableName("Categories","C")  
                        .On(new Column("P.CategoryID").Equale(new Column("C.CategoryID")))  
                   }) 
                   .Build(); 

Key Benefits Of SQLBuilder

Performance and Optimization Control

• Fine-grained Control: One have absolute control over the exact SQL generated and executed against the database. This allows for meticulous optimization, using specific indexes, query hints, or advanced SQL constructs that an ORM might not generate optimally or at all.
• Avoidance of N+1 Problems:While ORMs have lazy loading, they can sometimes lead to N+1 query issues if not handled carefully. With raw SQL, you explicitly define all necessary joins upfront, preventing this.
• Efficient Bulk Operations: For large-scale data inserts, updates, or deletes, statements are often significantly faster as compared to ORM-generated operations, which might process records one by one.
• Complex Joins and Subqueries: Sometimes, highly complex joins or nested subqueries are much simpler and more performant to write directly in SQL than to express them through LINQ's fluent syntax, which can lead to inefficient SQL generation.

Predictable SQL Generation

• No "Black Box" SQL: You know exactly what SQL is being executed. With ORMs, especially for complex LINQ queries, the generated SQL can sometimes be unexpected, inefficient, or difficult to debug without specialized tools.
• Easier Debugging and Profiling:The queries generated from SQLBuilder along with parameters can be easily copy and paste into SQL Server Management Studio (SSMS) or Azure Data Studio, profile it with the database's own tools, and analyze its execution plan directly.

Reduced Overhead

• Lower Memory Footprint: ORMs often come with a certain amount of overhead (mapping, change tracking, caching) that consumes memory. For very simple data access or high-throughput scenarios, SQL Builder Query approaches (like Dapper) can be extremely lightweight.
• Fewer Abstractions: Less layers of abstraction means simpler code for very specific tasks, based on the complexity of the query.

Schema Evolution and Flexibility

• Decoupling from ORM Schema: SqlBuilder queries are less coupled to the ORM's internal mapping and entity definitions. If there is need to make a quick schema change or add a view without updating the entire ORM model, SqlBuilder SQL queries are more flexible.
• Reporting: For complex reporting queries that requires many joins, aggregations, and specialized functions, SqlBuilder for SQL queries often provides full control over the report's exact data shape and performance.

Access to Database-Specific Features

• Vendor-Specific SQL: SqlBuilder leverages specific database features like ROW_NUMBER() OVER PARTITION BY, APPLY operators, Common Table Expressions (CTEs) for recursive queries, JSON functions (e.g., FOR JSON AUTO), etc. that an ORM might not support directly or efficiently.
• Reporting: For complex reporting queries that requires many joins, aggregations, and specialized functions, SqlBuilder for SQL queries often provides full control over the report's exact data shape and performance.

SqlBuilder As Compared to ORMs

• Eliminates Overhead: ORM introduces a layer of abstraction, change tracking, query translation, and sometimes caching. While powerful, this can add overhead. SqlBuilder SQL queries (especially with lightweight data access like Dapper) bypasses this, leading to faster execution for certain operations, particularly high-volume reads or writes.
• Precise Query Tuning: SqlBuilder provides complete command over the exact SQL statement sent to the database.
• Highly Decoupled Queries: Need to introduce a new view, or make a minor schema change that is cermony with ORMs, while SqlBuilder queries and Dapper everything is decoupled yet optimized for performance.
• Read-Only Reporting: For complex reporting scenarios where simply reading data and projecting it into a custom shape (that might not map neatly to existing/coupled entities), SqlBuilder SQL queries can be more direct and less cumbersome than trying to force it through ORM's mapping layer.