csharp-type-design-performance

name	csharp-type-design-performance
description	Design .NET types for performance. Seal classes, use readonly structs, prefer static pure functions, avoid premature enumeration, and choose the right collection types. Use when this capability is needed.
metadata	{"author":"foxminchan"}

Type Design for Performance

When to Use This Skill

Use this skill when:

• Designing new types and APIs
• Reviewing code for performance issues
• Choosing between class, struct, and record
• Working with collections and enumerables

---

Core Principles

1. Seal your types - Unless explicitly designed for inheritance
2. Prefer readonly structs - For small, immutable value types
3. Prefer static pure functions - Better performance and testability
4. Defer enumeration - Don't materialize until you need to
5. Return immutable collections - From API boundaries

---

Seal Classes by Default

Sealing classes enables JIT devirtualization and communicates API intent.

// DO: Seal classes not designed for inheritance
public sealed class OrderProcessor
{
    public void Process(Order order) { }
}

// DO: Seal records (they're classes)
public sealed record OrderCreated(OrderId Id, CustomerId CustomerId);

// DON'T: Leave unsealed without reason
public class OrderProcessor  // Can be subclassed - intentional?
{
    public virtual void Process(Order order) { }  // Virtual = slower
}

Benefits:

• JIT can devirtualize method calls
• Communicates "this is not an extension point"
• Prevents accidental breaking changes

---

Readonly Structs for Value Types

Structs should be readonly when immutable. This prevents defensive copies.

// DO: Readonly struct for immutable value types
public readonly record struct OrderId(Guid Value)
{
    public static OrderId New() => new(Guid.NewGuid());
    public override string ToString() => Value.ToString();
}

// DO: Readonly struct for small, short-lived data
public readonly struct Money
{
    public decimal Amount { get; }
    public string Currency { get; }

    public Money(decimal amount, string currency)
    {
        Amount = amount;
        Currency = currency;
    }
}

// DON'T: Mutable struct (causes defensive copies)
public struct Point  // Not readonly!
{
    public int X { get; set; }  // Mutable!
    public int Y { get; set; }
}

When to Use Structs

Use Struct When	Use Class When
Small (≤16 bytes typically)	Larger objects
Short-lived	Long-lived
Frequently allocated	Shared references needed
Value semantics required	Identity semantics required
Immutable	Mutable state

---

Prefer Static Pure Functions

Static methods with no side effects are faster and more testable.

// DO: Static pure function
public static class OrderCalculator
{
    public static Money CalculateTotal(IReadOnlyList<OrderItem> items)
    {
        var total = items.Sum(i => i.Price * i.Quantity);
        return new Money(total, "USD");
    }
}

// Usage - predictable, testable
var total = OrderCalculator.CalculateTotal(items);

Benefits:

• No vtable lookup (faster)
• No hidden state
• Easier to test (pure input → output)
• Thread-safe by design
• Forces explicit dependencies

// DON'T: Instance method hiding dependencies
public class OrderCalculator
{
    private readonly ITaxService _taxService;  // Hidden dependency
    private readonly IDiscountService _discountService;  // Hidden dependency

    public Money CalculateTotal(IReadOnlyList<OrderItem> items)
    {
        // What does this actually depend on?
    }
}

// BETTER: Explicit dependencies via parameters
public static class OrderCalculator
{
    public static Money CalculateTotal(
        IReadOnlyList<OrderItem> items,
        decimal taxRate,
        decimal discountPercent)
    {
        // All inputs visible
    }
}

Don't go overboard - Use instance methods when you genuinely need state or polymorphism.

---

Defer Enumeration

Don't materialize enumerables until necessary. Avoid excessive LINQ chains.

// BAD: Premature materialization
public IReadOnlyList<Order> GetActiveOrders()
{
    return _orders
        .Where(o => o.IsActive)
        .ToList()  // Materialized!
        .OrderBy(o => o.CreatedAt)  // Another iteration
        .ToList();  // Materialized again!
}

// GOOD: Defer until the end
public IReadOnlyList<Order> GetActiveOrders()
{
    return _orders
        .Where(o => o.IsActive)
        .OrderBy(o => o.CreatedAt)
        .ToList();  // Single materialization
}

// GOOD: Return IEnumerable if caller might not need all items
public IEnumerable<Order> GetActiveOrders()
{
    return _orders
        .Where(o => o.IsActive)
        .OrderBy(o => o.CreatedAt);
    // Caller decides when to materialize
}

Async Enumeration

Be careful with async and IEnumerable:

// BAD: Async in LINQ - hidden allocations
var results = orders
    .Select(async o => await ProcessOrderAsync(o))  // Task per item!
    .ToList();
await Task.WhenAll(results);

// GOOD: Use IAsyncEnumerable for streaming
public async IAsyncEnumerable<OrderResult> ProcessOrdersAsync(
    IEnumerable<Order> orders,
    [EnumeratorCancellation] CancellationToken ct = default)
{
    foreach (var order in orders)
    {
        ct.ThrowIfCancellationRequested();
        yield return await ProcessOrderAsync(order, ct);
    }
}

// GOOD: Batch processing for parallelism
var results = await Task.WhenAll(
    orders.Select(o => ProcessOrderAsync(o)));

---

ValueTask vs Task

Use ValueTask for hot paths that often complete synchronously. For real I/O, just use Task.

// DO: ValueTask for cached/synchronous paths
public ValueTask<User?> GetUserAsync(UserId id)
{
    if (_cache.TryGetValue(id, out var user))
    {
        return ValueTask.FromResult<User?>(user);  // No allocation
    }

    return new ValueTask<User?>(FetchUserAsync(id));
}

// DO: Task for real I/O (simpler, no footguns)
public Task<Order> CreateOrderAsync(CreateOrderCommand cmd)
{
    // This always hits the database
    return _repository.CreateAsync(cmd);
}

ValueTask rules:

• Never await a ValueTask more than once
• Never use .Result or .GetAwaiter().GetResult() before completion
• If in doubt, use Task

---

Span and Memory for Bytes

Use Span<T> and Memory<T> instead of byte[] for low-level operations.

// DO: Accept Span for synchronous operations
public static int ParseInt(ReadOnlySpan<char> text)
{
    return int.Parse(text);
}

// DO: Accept Memory for async operations
public async Task WriteAsync(ReadOnlyMemory<byte> data)
{
    await _stream.WriteAsync(data);
}

// DON'T: Force array allocation
public static int ParseInt(string text)  // String allocated
{
    return int.Parse(text);
}

Common Span Patterns

// Slice without allocation
ReadOnlySpan<char> span = "Hello, World!".AsSpan();
var hello = span[..5];  // No allocation

// Stack allocation for small buffers
Span<byte> buffer = stackalloc byte[256];

// Use ArrayPool for larger buffers
var buffer = ArrayPool<byte>.Shared.Rent(4096);
try
{
    // Use buffer...
}
finally
{
    ArrayPool<byte>.Shared.Return(buffer);
}

---

Collection Return Types

Return Immutable Collections from APIs

// DO: Return immutable collection
public IReadOnlyList<Order> GetOrders()
{
    return _orders.ToList();  // Caller can't modify internal state
}

// DO: Use frozen collections for static data (.NET 8+)
private static readonly FrozenDictionary<string, Handler> _handlers =
    new Dictionary<string, Handler>
    {
        ["create"] = new CreateHandler(),
        ["update"] = new UpdateHandler(),
    }.ToFrozenDictionary();

// DON'T: Return mutable collection
public List<Order> GetOrders()
{
    return _orders;  // Caller can modify!
}

Internal Mutation is Fine

public IReadOnlyList<OrderItem> BuildOrderItems(Cart cart)
{
    var items = new List<OrderItem>();  // Mutable internally

    foreach (var cartItem in cart.Items)
    {
        items.Add(CreateOrderItem(cartItem));
    }

    return items;  // Return as IReadOnlyList
}

Collection Guidelines

Scenario	Return Type
API boundary	IReadOnlyList<T>, IReadOnlyCollection<T>
Static lookup data	FrozenDictionary<K,V>, FrozenSet<T>
Internal building	List<T>, then return as readonly
Single item or none	T? (nullable)
Zero or more, lazy	IEnumerable<T>

---

Quick Reference

Pattern	Benefit
sealed class	Devirtualization, clear API
readonly record struct	No defensive copies, value semantics
Static pure functions	No vtable, testable, thread-safe
Defer .ToList()	Single materialization
ValueTask for hot paths	Avoid Task allocation
Span<T> for bytes	Stack allocation, no copying
IReadOnlyList<T> return	Immutable API contract
FrozenDictionary	Fastest lookup for static data

---

Anti-Patterns

// DON'T: Unsealed class without reason
public class OrderService { }  // Seal it!

// DON'T: Mutable struct
public struct Point { public int X; public int Y; }  // Make readonly

// DON'T: Instance method that could be static
public int Add(int a, int b) => a + b;  // Make static

// DON'T: Multiple ToList() calls
items.Where(...).ToList().OrderBy(...).ToList();  // One ToList at end

// DON'T: Return List<T> from public API
public List<Order> GetOrders();  // Return IReadOnlyList<T>

// DON'T: ValueTask for always-async operations
public ValueTask<Order> CreateOrderAsync();  // Just use Task

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Resources

• Performance Best Practices: https://learn.microsoft.com/en-us/dotnet/standard/performance/
• Span Guidance: https://learn.microsoft.com/en-us/dotnet/standard/memory-and-spans/
• Frozen Collections: https://learn.microsoft.com/en-us/dotnet/api/system.collections.frozen

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