D
D
Definition: Systems language designed as a modernized reimagining of C++, keeping native performance and C ABI compatibility while adding optional garbage collection, built-in testing, and cleaner syntax.
Paradigm: Multi-paradigm (procedural, OOP, functional, metaprogramming) | Typing: Static, strong
Pros
- C-like ABI interoperability makes it practical to reuse existing C libraries and system interfaces.
- Modules, slices, and built-in arrays make many common patterns shorter than in C++.
- The language can use the GC for convenience or avoid it in
@nogccode paths when predictability matters. - CTFE (Compile-Time Function Execution), mixins, and templates give strong compile-time generation without leaving the language.
- Built-in contracts and safety annotations help distinguish safe, trusted, and unsafe regions explicitly.
- Incredibly fast compilation times compared to C++.
Cons
- The ecosystem is smaller than mainstream systems languages, so package choice can be limited.
- Historical fragmentation (Phobos vs Tango) hurt early momentum and left fewer widely recognized libraries.
- Rust and Go occupy much of the modern systems-language mindshare.
- Compile-time metaprogramming is powerful, but can still create complexity if teams overuse it.
- GC defaults are a plus for productivity, but a concern for programmers who want deterministic memory from the start.
- Small community means fewer StackOverflow answers and tutorials.
Best For
- Teams that want C++-style control with less syntactic overhead.
- Performance-sensitive modules that can benefit from safer defaults and clearer semantics.
- Numeric or array-heavy code where slices and compile-time generation reduce boilerplate.
- Cross-platform CLI tools and backend services.
Real Examples
- WekaIO: Uses D for their high-performance parallel file system.
- Sociomantic: Used D extensively in their real-time bidding system (ad-tech).
- Remedy Games: Some game studios and tooling teams have used D for engine-side utilities and code generation.
- eBay: Experimented with D for high-performance backend components.
Use Cases
- Systems tools, code generators, and command-line utilities.
- Engine tooling, data transforms, and native libraries that need predictable runtime behavior.
- High-frequency trading and low-latency financial systems.
- Scripting replacement (D compiles fast enough to run as a script).
Extended Syntax & Features
D’s syntax is heavily inspired by C and C++, making it immediately familiar to developers coming from those ecosystems. However, D drops much of the legacy baggage and syntactic ambiguities of C++, replacing them with modern constructs.
Basic Data Types
D supports a rich set of built-in data types:
- Integer Types:
byte,short,int,long(signed) and their unsigned counterpartsubyte,ushort,uint,ulong. - Floating-Point Types:
float,double,real(hardware’s largest float, typically 80-bit on x86). - Characters:
char(UTF-8),wchar(UTF-16),dchar(UTF-32). - Strings:
stringis simply an alias forimmutable(char)[]. - Arrays: Built-in dynamic and static arrays.
- Associative Arrays: Built-in hash maps.
Control Flow
D provides standard imperative control structures alongside advanced additions:
if,else if,elsewhile,do-while,forforeachandforeach_reverse: The preferred way to iterate over arrays and ranges.switch: Supports fallthrough only if explicitly requested; strings can be switched on.
Functions and Methods
Functions in D are first-class citizens. They support default arguments, variadic arguments, and can be nested. D also has Uniform Function Call Syntax (UFCS), allowing any function foo(a, b) to be called as a.foo(b).
Advanced Concepts
Memory Management (GC and @nogc)
By default, D is garbage-collected. This vastly simplifies programming and prevents memory leaks and dangling pointers in typical applications. However, systems programming often requires deterministic memory management.
D allows the developer to opt out of the GC completely. Functions can be marked with the @nogc attribute, which ensures at compile time that no GC allocations occur within them. For memory management in @nogc code, D provides core.memory, std.experimental.allocator, and manual allocation (malloc/free).
Compile-Time Function Execution (CTFE)
CTFE is a cornerstone of D’s metaprogramming capabilities. D can execute a large subset of the language at compile time. This allows you to generate lookup tables, parse configurations, or calculate complex constants during compilation, resulting in zero runtime overhead.
Templates and Mixins
- Templates: D’s templates are cleaner and more powerful than C++ templates. They use a straightforward
!syntax, e.g.,Array!int. - String Mixins:
mixin("code string")compiles the string as if it were written in the source file. Combined with CTFE, this allows for unparalleled code generation capabilities.
Concurrency and Parallelism
D embraces modern concurrency models. The standard library provides std.concurrency based on the Actor model (message passing between isolated threads, similar to Erlang) and std.parallelism for task-based parallelism (parallel foreach, map, reduce).
Ecosystem & Tooling
Package Management: DUB
DUB is the official package manager and build tool for D. It handles dependencies, builds, and configuration. DUB packages are hosted on code.dlang.org.
Common commands:
dub init: Create a new project.dub build: Compile the project.dub run: Compile and run.dub test: Run unit tests.
Compilers
D has three main compilers:
- DMD (Digital Mars D): The reference compiler. Extremely fast compilation times, ideal for development.
- LDC (LLVM D Compiler): Uses the LLVM backend. Generates highly optimized machine code. Preferred for production and cross-compilation.
- GDC (GNU D Compiler): Part of GCC. Excellent for platforms supported by GCC.
Frameworks and Libraries
- Vibe.d: A high-performance asynchronous I/O and web framework. The de facto standard for building web servers and APIs in D.
- Mir: A set of libraries for scientific computing, fast JSON parsing, and algorithms.
- Derelict / BindBC: Libraries for dynamically loading C libraries (OpenGL, SDL, etc.).
Code Examples
1. Basic Hello World and Syntax
This example showcases standard I/O and the entry point of a D program.
import std.stdio;
import std.string;
// Entry point of the program
void main() {
// Print to standard output
writeln("Hello, World!");
// Formatted printing
int year = 2024;
writefln("Welcome to D programming in %d", year);
}
2. Data Structures (Arrays and Associative Arrays)
D has powerful built-in arrays, slices, and hash maps (associative arrays).
import std.stdio;
void main() {
// Dynamic array
int[] numbers = [1, 2, 3, 4, 5];
numbers ~= 6; // Append to array
// Slices (views into an array)
int[] slice = numbers[1 .. 4]; // [2, 3, 4]
// Associative array (Hash map)
string[string] capitals = [
"France": "Paris",
"Japan": "Tokyo"
];
capitals["Germany"] = "Berlin"; // Add new key-value pair
// Foreach iteration
foreach (country, capital; capitals) {
writefln("The capital of %s is %s", country, capital);
}
}
3. Object-Oriented and Functional Patterns
D supports class-based OOP (single inheritance, interfaces) and functional constructs (UFCS, higher-order functions).
import std.stdio;
import std.algorithm;
import std.array;
// Interface definition
interface Animal {
void speak();
}
// Class implementing interface
class Dog : Animal {
private string name;
this(string name) {
this.name = name;
}
void speak() {
writeln(name, " says Woof!");
}
}
void main() {
Animal dog = new Dog("Buddy");
dog.speak();
// Functional programming with UFCS (Uniform Function Call Syntax)
int[] nums = [1, 2, 3, 4, 5, 6];
// Chaining operations: filter even, square them, convert to array
auto result = nums
.filter!(n => n % 2 == 0)
.map!(n => n * n)
.array();
writeln("Squared evens: ", result); // [4, 16, 36]
}
4. Compile-Time Function Execution (CTFE)
One of D’s most powerful features: executing code during compilation to generate constants.
import std.stdio;
// This function can run at runtime OR compile time
int computeFactorial(int n) {
int result = 1;
for (int i = 1; i <= n; i++) {
result *= i;
}
return result;
}
void main() {
// 'enum' forces compile-time evaluation in D
enum int fact5 = computeFactorial(5);
// 'fact5' is replaced with 120 directly in the compiled binary!
writeln("Factorial of 5 is: ", fact5);
// Runs at runtime
int x = 6;
writeln("Factorial of 6 is: ", computeFactorial(x));
}
5. Memory Safety and @nogc
D allows you to disable the garbage collector for performance-critical regions.
import std.stdio;
import core.stdc.stdlib : malloc, free;
// @nogc prevents the function from allocating via the GC
@nogc void processData(int[] data) {
// Array iteration without GC allocations
foreach (ref val; data) {
val *= 2;
}
}
void main() {
// Manual memory allocation (similar to C)
int* ptr = cast(int*) malloc(5 * int.sizeof);
// Error handling
if (ptr is null) return;
// Create a slice from the manually allocated pointer
int[] manualArray = ptr[0 .. 5];
// Initialize
foreach (i, ref val; manualArray) {
val = cast(int) i;
}
// Call the @nogc function
processData(manualArray);
// Manual deallocation
free(ptr);
}
6. Concurrency (Message Passing)
D’s standard library provides actor-model concurrency, avoiding shared state issues.
import std.stdio;
import std.concurrency;
import core.thread;
// Worker thread function
void worker(Tid parentTid) {
bool running = true;
while (running) {
receive(
(int msg) {
writeln("Worker received number: ", msg);
send(parentTid, msg * 2); // Send back result
},
(string msg) {
if (msg == "stop") {
writeln("Worker stopping...");
running = false;
}
}
);
}
}
void main() {
// Spawn a new thread
Tid workerTid = spawn(&worker, thisTid);
// Send messages to the worker
send(workerTid, 10);
send(workerTid, 21);
// Receive responses
for (int i = 0; i < 2; i++) {
receive(
(int result) {
writeln("Main received result: ", result);
}
);
}
// Shutdown worker
send(workerTid, "stop");
thread_joinAll();
}
7. Contract Programming
D has built-in support for Design by Contract (preconditions, postconditions, and invariants).
import std.stdio;
class BankAccount {
private double balance;
// Invariant condition that must hold before and after any public method
invariant {
assert(balance >= 0, "Balance cannot be negative!");
}
this(double initialBalance) {
balance = initialBalance;
}
void deposit(double amount)
in {
// Precondition
assert(amount > 0, "Deposit amount must be positive");
}
out {
// Postcondition
assert(balance > 0, "Balance must be positive after deposit");
}
do {
// Actual implementation
balance += amount;
writeln("Deposited: ", amount, ", New Balance: ", balance);
}
void withdraw(double amount)
in {
assert(amount > 0, "Withdrawal amount must be positive");
assert(amount <= balance, "Insufficient funds");
}
do {
balance -= amount;
writeln("Withdrew: ", amount, ", New Balance: ", balance);
}
}
void main() {
BankAccount account = new BankAccount(100.0);
account.deposit(50.0);
account.withdraw(30.0);
// account.withdraw(200.0); // This would trigger an AssertionError
}
8. Network Requests (Using standard library socket)
D can handle networking natively, though frameworks like vibe.d are preferred for complex HTTP tasks.
import std.stdio;
import std.socket;
void main() {
// Create a TCP socket
auto sock = new TcpSocket();
// Resolve hostname to IP address
auto addresses = getAddress("example.com", 80);
// Connect to the first resolved address
sock.connect(addresses[0]);
// Send HTTP GET request
string request = "GET / HTTP/1.1\r\nHost: example.com\r\nConnection: close\r\n\r\n";
sock.send(request);
// Buffer for receiving data
char[1024] buffer;
long received;
writeln("Response:");
// Read response in chunks
while ((received = sock.receive(buffer)) > 0) {
write(buffer[0 .. received]);
}
sock.close();
}
Best Practices
- Use
autofor Type Inference: Rely onautowhen the type is obvious from the right-hand side, keeping the code cleaner. - Leverage UFCS (Uniform Function Call Syntax): Instead of
map(filter(array, condition), transform), usearray.filter!(condition).map!(transform). It significantly improves readability, resembling method chaining in modern languages. - Minimize GC Allocations in Hot Paths: Use
@nogcandstd.experimental.allocatorin performance-critical sections (e.g., rendering loops, high-frequency trading logic). - Prefer
foreachoverfor: Standardforloops are rarely needed in D.foreachis safer and more idiomatic when iterating arrays and ranges. - Use Contracts for Safety: Utilize
inandoutblocks for self-documenting constraints and runtime safety checks that don’t obfuscate the main logic. - Prefer Ranges over Arrays: When designing algorithms, use the Range API (
std.range) instead of strict arrays to make your functions work seamlessly with lazy sequences and generators. - Organize using Modules: Always define a
moduledeclaration at the top of your files (e.g.,module mypackage.myfeature;) to avoid namespace collisions and improve compile times.
Referenced by