LINQ to SQL Best Practices

Best Practices

  1. Single SubmitChanges Call: Aim to have one call to SubmitChanges to ensure all database operations are performed in a single transaction.
  2. Explicit Column Selection: Specify the column names explicitly to improve performance by reducing data flow.
   var result = from t in db.Countries
                select new { Name = t.Name, ID = t.CountryID };
  1. Delay Loading: Set Delay Loaded property to false for columns with large data to load them only when necessary.
  2. Use Stored Procedures for Complex Queries: For complex queries, use stored procedures to avoid performance issues with LINQ queries.
  3. Deferred Execution: Understand that LINQ executes queries when you start iterating over the results, keeping the connection open during this time.
  4. Immediate Execution: Use .ToList() or .ToArray() to execute queries immediately and store results in memory for lengthy operations.
   var data = query.ToList();
  1. Class Design: Avoid dumping all database tables and stored procedures into a single class. Separate read-only tables and log tables to optimize memory use.
  2. Multiple Data Contexts: Create separate data context classes for read-only and transactional data. Disable ObjectTrackingEnabled for read-only data contexts to improve performance.
   DataClasses1DataContext dataContext = new DataClasses1DataContext();
   dataContext.ObjectTrackingEnabled = false;
  1. Disable Optimistic Concurrency: Turn off optimistic concurrency if the application logic ensures the last update wins.
   [Column(Storage="_Name", DbType="NVarChar(50) NOT NULL", CanBeNull=false, UpdateCheck=UpdateCheck.Never)]
   public string Name { /* implementation */ }
  1. Monitor Generated Queries: Regularly monitor the queries generated by LINQ to optimize performance and understand query behavior better.
  2. Compiled Queries: Use CompiledQuery.Compile for frequently executed queries to improve performance.
   var compiledQuery = CompiledQuery.Compile((DataContext db, int id) => db.Table.FirstOrDefault(t => t.Id == id));
  1. DataLoadOptions: Use DataLoadOptions to prefetch related data and reduce database calls.
   DataLoadOptions options = new DataLoadOptions();
   options.LoadWith<Student>(s => s.Subject);
   context.LoadOptions = options;
  1. AssociateWith for Filtering: Use DataLoadOptions.AssociateWith to filter related data.
   DataLoadOptions options = new DataLoadOptions();
   options.AssociateWith<Student>(s => s.Subject.Where(sb => sb.Id == 3));
  1. Paging with Take and Skip: Use Take() and Skip() methods to implement paging and fetch only the required data.
   var pagedData = db.Table.Skip(pageIndex * pageSize).Take(pageSize).ToList();

These practices aim to enhance the performance and efficiency of applications using LINQ to SQL. Regular monitoring and optimization are key to maintaining optimal performance.

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