Saturday, March 2, 2024

Boosting Your Entity Framework Core Performance: 10 SEO-Friendly Tips

Are you looking to supercharge your Entity Framework Core (EF Core) application’s performance? Dive into these 10 simple and effective tips that will not only enhance your application’s speed but also make it more SEO-friendly. Let’s optimize your EF Core application and provide a better experience for your users.

  1. Use AsNoTracking() for Speedy Read-Only Operations: Optimize fetching data from the database by employing AsNoTracking() for read-only operations. This reduces memory overhead and enhances performance.
    var customers = _dbContext.Customers.AsNoTracking().ToList();
  2. Avoid Include() for Large Data Sets: Steer clear of performance issues by refraining from using the Include() method for large data sets. This prevents an excess of database queries and ensures smoother operation.
    var order = _dbContext.Orders.Include(o => o.OrderDetails).FirstOrDefault(o => o.OrderId == 1);
  3. Embrace Projection for Subset Queries: Improve performance by using projection for queries that require only a subset of data. Select only the necessary properties, reducing data transfer between the application and the database.
    var customers = _dbContext.Customers.Where(c => c.City == "London").Select(c => new{         c.CustomerId,c.ContactName,c.City}).ToList();
  4. Leverage AsSplitQuery() for Multiple Result Sets: When dealing with multiple result sets, boost performance by using AsSplitQuery() to split queries into multiple SQL statements.
     var customersAndOrders = _dbContext.Customers
    .Include(c => c.Orders)
    .AsSplitQuery()
    .ToList();
  5. Prefer Explicit Loading Over Lazy Loading: Use explicit loading instead of lazy loading when loading related entities for a specific entity. This avoids multiple database queries and potential performance issues.
     var customer = _dbContext.Customers.Find(1);
    _dbContext.Entry(customer)
    .Collection(c => c.Orders)
    .Load();
  6. Implement Transactions for Batch Operations: Ensure atomicity in batch operations involving multiple transactions. Transactions enhance performance and reduce the risk of data inconsistencies.
     using (var transaction = _dbContext.Database.BeginTransaction()) 
    {
    try
    {
    // Perform batch operations here
    _dbContext.SaveChanges();
    transaction.Commit();
    }
    catch (Exception ex)
    {
    transaction.Rollback();
    throw ex;
    }
    }
  7. Optimize with Batch Updates and Deletes: Speed up operations on large datasets by using batch updates and deletes, executing the operation in a single SQL statement.
     _dbContext.Orders.Where(o => o.ShippedDate == null)
    .Update(o => new Order { ShippedDate = DateTime.Now });
  8. Harness Indexes for Query Performance: Improve query performance by adding indexes to frequently queried columns. This reduces the time it takes to find required data.
     -- Add an index to the OrderDate column in the Orders table 
    CREATE INDEX idx_OrderDate ON Orders (OrderDate);
  9. Use AsQueryable() for Query Composition: Enhance query composition performance by using AsQueryable(). This allows EF Core to combine conditions into a single SQL statement, minimizing round trips.
     var orders = _dbContext.Orders
    .Where(o => o.ShipCity == "London" && o.ShippedDate.Year == 2021)
    .AsQueryable()
    .ToList();
  10. Ensure Resilient Connections for Database Access: Enhance reliability and performance by implementing resilient connections, handling database connection failures and retries effectively.