Section 1.1: Asynchronous Programming

Utilizing asynchronous programming with async and await is essential for non-blocking I/O operations. Below is an example that demonstrates how to fetch data asynchronously with HttpClient:

public async Task FetchDataAsync()

{

using (HttpClient client = new HttpClient())

{

response.EnsureSuccessStatusCode();

return await response.Content.ReadAsStringAsync();

}

}

Section 1.2: Minimizing Object Allocations

Reducing excessive object allocations is crucial to prevent memory fragmentation. Reusing objects and making use of value types can help alleviate this problem. Here’s an example of how to reuse a StringBuilder:

StringBuilder stringBuilder = new StringBuilder();

for (int i = 0; i < 1000; i++)

{

stringBuilder.Clear();

stringBuilder.Append("Iteration: ").Append(i);

Console.WriteLine(stringBuilder.ToString());

}

Section 1.3: Optimizing LINQ Queries

While LINQ provides great flexibility, inefficient usage can hinder performance. It’s important to optimize queries to reduce database roundtrips and unnecessary data retrieval. Below is a refined example of a LINQ query:

var filteredUsers = dbContext.Users

.Where(u => u.IsActive && u.Age > 18)

.OrderBy(u => u.LastName)

.Select(u => new { u.FirstName, u.LastName })

.ToList();

Section 1.4: Implementing Caching

Implementing caching for frequently accessed data can alleviate the load on your application. You can use mechanisms like MemoryCache or distributed solutions like Redis. Here’s an example of caching data with MemoryCache:

public IActionResult GetData()

{

var cachedData = _memoryCache.Get("CachedData");

if (cachedData != null)

{

return Ok(cachedData);

}

var data = _dataService.GetData();

_memoryCache.Set("CachedData", data, TimeSpan.FromMinutes(10));

return Ok(data);

}

Section 2.1: Enabling JIT Compilation Optimizations

Configuring your application for JIT compilation optimizations can significantly boost runtime performance. Here’s how to set it up in your project configuration:

<Optimize>true</Optimize>

Section 2.2: Profiling Performance Bottlenecks

Utilizing profiling tools such as dotMemory or dotTrace is essential for identifying and addressing performance bottlenecks. The following command can be used to profile your application:

dotMemory.exe collect /Local

Section 2.3: Optimizing Database Access

Efficient database access plays a vital role in overall application performance. Techniques such as batching operations, optimizing queries, and using indexes are crucial. Below is an example of optimizing a database query:

var activeUsers = dbContext.Users.Where(u => u.IsActive).ToList();

Section 2.4: Reducing Database Roundtrips

To minimize the number of database roundtrips, ensure you're fetching only the necessary data. Eager loading and projections can be particularly effective. Here’s an example using eager loading:

var orders = dbContext.Orders.Include(o => o.OrderItems).ToList();

Section 2.5: Using Structs for Small Objects

For small objects that are frequently used, consider utilizing structs instead of classes to decrease memory overhead. Here’s how to define a struct for a simple Point object:

public struct Point

{

public int X { get; set; }

public int Y { get; set; }

}

Section 2.6: Efficient String Concatenation

String concatenation can often be inefficient, particularly in loops. Leveraging StringBuilder for string manipulation can enhance performance. Here’s an example:

var stringBuilder = new StringBuilder();

for (int i = 0; i < 1000; i++)

{

stringBuilder.Append("Iteration: ").Append(i).AppendLine();

}

var result = stringBuilder.ToString();

This video focuses on writing high-performance C# and .NET code, providing insights and practical examples for developers.

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