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Builder with TypeState

Enforcing build order at compile time

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What is Type-State Builder?

The type-state builder pattern uses Rust's type system to enforce that required configuration steps are completed before an object can be constructed. Unlike traditional builders that validate at runtime, type-state builders make incomplete or incorrect builds impossible to compile.

The key insight: If you can't write code that forgets required configuration, you can't deploy bugs from forgotten configuration.

Core Principles

  1. States as Type Parameters: Builder progresses through distinct type states
  2. Required Fields Enforced by Types: Can't build until all required fields are set
  3. Compile-Time Validation: Missing required configuration = compilation error
  4. Zero Runtime Cost: All validation happens at compile time
  5. Fluent API: Method chaining guides users through valid build sequences

Why Type-State Builders?

// WITHOUT type-state (runtime validation)
struct HttpClientBuilder {
    url: Option<String>,
    method: Option<String>,
    headers: Vec<(String, String)>,
}

impl HttpClientBuilder {
    fn build(self) -> Result<HttpClient, BuildError> {
        let url = self.url.ok_or(BuildError::MissingUrl)?;
        let method = self.method.ok_or(BuildError::MissingMethod)?;
        
        Ok(HttpClient { url, method, headers: self.headers })
    }
}

// Easy to forget required fields - error only appears at runtime!
let client = HttpClientBuilder::new()
    .header("Accept", "application/json")
    .build()?; // Runtime error: MissingUrl

// WITH type-state (compile-time validation)
use std::marker::PhantomData;

struct NoUrl;
struct WithUrl;
struct NoMethod;
struct WithMethod;

struct HttpClientBuilder<Url, Method> {
    url: Option<String>,
    method: Option<String>,
    headers: Vec<(String, String)>,
    _url_state: PhantomData<Url>,
    _method_state: PhantomData<Method>,
}

// build() only available when BOTH required fields are set
impl HttpClientBuilder<WithUrl, WithMethod> {
    fn build(self) -> HttpClient {
        HttpClient {
            url: self.url.unwrap(), // Safe - guaranteed by type system
            method: self.method.unwrap(),
            headers: self.headers,
        }
    }
}

// This won't compile:
// let client = HttpClientBuilder::new()
//     .header("Accept", "application/json")
//     .build(); // ERROR: no method named `build` found

The type-state version catches configuration errors at compile time, eliminating an entire class of production bugs.

---

Real-World Examples

Example 1: HTTP Client Builder (Web/Network)

A type-safe HTTP client that enforces required URL and method at compile time:

use std::marker::PhantomData;
use std::time::Duration;
use std::collections::HashMap;

// State markers for URL
struct NoUrl;
struct WithUrl;

// State markers for Method
struct NoMethod;
struct WithMethod;

// Builder with two independent type-state dimensions
struct HttpClientBuilder<UrlState, MethodState> {
    url: Option<String>,
    method: Option<String>,
    headers: HashMap<String, String>,
    timeout: Option<Duration>,
    body: Option<Vec<u8>>,
    _url_state: PhantomData<UrlState>,
    _method_state: PhantomData<MethodState>,
}

// Construction starts with nothing configured
impl HttpClientBuilder<NoUrl, NoMethod> {
    fn new() -> Self {
        Self {
            url: None,
            method: None,
            headers: HashMap::new(),
            timeout: None,
            body: None,
            _url_state: PhantomData,
            _method_state: PhantomData,
        }
    }
}

// Setting URL transitions from NoUrl -> WithUrl
impl<M> HttpClientBuilder<NoUrl, M> {
    fn url(self, url: impl Into<String>) -> HttpClientBuilder<WithUrl, M> {
        HttpClientBuilder {
            url: Some(url.into()),
            method: self.method,
            headers: self.headers,
            timeout: self.timeout,
            body: self.body,
            _url_state: PhantomData,
            _method_state: PhantomData,
        }
    }
}

// Setting method transitions from NoMethod -> WithMethod
impl<U> HttpClientBuilder<U, NoMethod> {
    fn method(self, method: impl Into<String>) -> HttpClientBuilder<U, WithMethod> {
        HttpClientBuilder {
            url: self.url,
            method: Some(method.into()),
            headers: self.headers,
            timeout: self.timeout,
            body: self.body,
            _url_state: PhantomData,
            _method_state: PhantomData,
        }
    }
    
    // Convenience methods for common HTTP methods
    fn get(self) -> HttpClientBuilder<U, WithMethod> {
        self.method("GET")
    }
    
    fn post(self) -> HttpClientBuilder<U, WithMethod> {
        self.method("POST")
    }
    
    fn put(self) -> HttpClientBuilder<U, WithMethod> {
        self.method("PUT")
    }
    
    fn delete(self) -> HttpClientBuilder<U, WithMethod> {
        self.method("DELETE")
    }
}

// Optional configuration available in ALL states
impl<U, M> HttpClientBuilder<U, M> {
    fn header(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
        self.headers.insert(key.into(), value.into());
        self
    }
    
    fn timeout(mut self, duration: Duration) -> Self {
        self.timeout = Some(duration);
        self
    }
    
    fn body(mut self, data: Vec<u8>) -> Self {
        self.body = Some(data);
        self
    }
}

// Build ONLY available when both required fields are configured
impl HttpClientBuilder<WithUrl, WithMethod> {
    fn build(self) -> HttpClient {
        HttpClient {
            url: self.url.unwrap(),
            method: self.method.unwrap(),
            headers: self.headers,
            timeout: self.timeout.unwrap_or(Duration::from_secs(30)),
            body: self.body,
        }
    }
}

struct HttpClient {
    url: String,
    method: String,
    headers: HashMap<String, String>,
    timeout: Duration,
    body: Option<Vec<u8>>,
}

impl HttpClient {
    async fn send(&self) -> Result<Response, Error> {
        // Implementation details...
        todo!()
    }
}

struct Response {
    status: u16,
    body: Vec<u8>,
}

#[derive(Debug)]
enum Error {
    Network(String),
    Timeout,
}

// Usage examples:
async fn example_usage() -> Result<(), Error> {
    // Valid: All required fields provided
    let client = HttpClientBuilder::new()
        .url("https://api.example.com/users")
        .get()
        .header("Accept", "application/json")
        .header("Authorization", "Bearer token123")
        .timeout(Duration::from_secs(10))
        .build();
    
    let response = client.send().await?;
    
    // Valid: Order doesn't matter for independent states
    let client2 = HttpClientBuilder::new()
        .post()
        .url("https://api.example.com/users")
        .body(b"user data".to_vec())
        .build();
    
    // COMPILE ERROR: Missing URL
    // let client3 = HttpClientBuilder::new()
    //     .get()
    //     .build(); // ERROR: no method named `build` found
    
    // COMPILE ERROR: Missing method
    // let client4 = HttpClientBuilder::new()
    //     .url("https://api.example.com")
    //     .build(); // ERROR: no method named `build` found
    
    Ok(())
}
Why this pattern matters here:
  • HTTP requests must have a URL and method
  • Catching missing configuration at compile time prevents runtime failures
  • Type system guides users through correct API usage
  • No performance overhead vs manual construction

Example 2: Database Connection Builder (Backend)

Enforcing required connection parameters at compile time:

use std::marker::PhantomData;
use std::time::Duration;

// State markers for host
struct NoHost;
struct WithHost;

// State markers for credentials
struct NoCredentials;
struct WithCredentials;

struct DatabaseBuilder<HostState, CredState> {
    host: Option<String>,
    port: Option<u16>,
    username: Option<String>,
    password: Option<String>,
    database: Option<String>,
    pool_size: usize,
    timeout: Duration,
    ssl_mode: SslMode,
    _host_state: PhantomData<HostState>,
    _cred_state: PhantomData<CredState>,
}

#[derive(Clone)]
enum SslMode {
    Disable,
    Require,
    VerifyCA,
    VerifyFull,
}

impl DatabaseBuilder<NoHost, NoCredentials> {
    fn new() -> Self {
        Self {
            host: None,
            port: None,
            username: None,
            password: None,
            database: None,
            pool_size: 10,
            timeout: Duration::from_secs(30),
            ssl_mode: SslMode::Disable,
            _host_state: PhantomData,
            _cred_state: PhantomData,
        }
    }
}

impl<C> DatabaseBuilder<NoHost, C> {
    fn host(self, host: impl Into<String>) -> DatabaseBuilder<WithHost, C> {
        DatabaseBuilder {
            host: Some(host.into()),
            port: self.port,
            username: self.username,
            password: self.password,
            database: self.database,
            pool_size: self.pool_size,
            timeout: self.timeout,
            ssl_mode: self.ssl_mode,
            _host_state: PhantomData,
            _cred_state: PhantomData,
        }
    }
}

impl<H> DatabaseBuilder<H, NoCredentials> {
    fn credentials(
        self,
        username: impl Into<String>,
        password: impl Into<String>,
    ) -> DatabaseBuilder<H, WithCredentials> {
        DatabaseBuilder {
            host: self.host,
            port: self.port,
            username: Some(username.into()),
            password: Some(password.into()),
            database: self.database,
            pool_size: self.pool_size,
            timeout: self.timeout,
            ssl_mode: self.ssl_mode,
            _host_state: PhantomData,
            _cred_state: PhantomData,
        }
    }
}

// Optional configuration available in all states
impl<H, C> DatabaseBuilder<H, C> {
    fn port(mut self, port: u16) -> Self {
        self.port = Some(port);
        self
    }
    
    fn database(mut self, db: impl Into<String>) -> Self {
        self.database = Some(db.into());
        self
    }
    
    fn pool_size(mut self, size: usize) -> Self {
        self.pool_size = size;
        self
    }
    
    fn timeout(mut self, duration: Duration) -> Self {
        self.timeout = duration;
        self
    }
    
    fn ssl_mode(mut self, mode: SslMode) -> Self {
        self.ssl_mode = mode;
        self
    }
}

// Build only when both host and credentials are configured
impl DatabaseBuilder<WithHost, WithCredentials> {
    async fn connect(self) -> Result<DatabaseConnection, DbError> {
        let connection_string = self.build_connection_string();
        
        DatabaseConnection::establish(
            connection_string,
            self.pool_size,
            self.timeout,
            self.ssl_mode,
        ).await
    }
    
    fn build_connection_string(&self) -> String {
        let host = self.host.as_ref().unwrap();
        let port = self.port.unwrap_or(5432);
        let user = self.username.as_ref().unwrap();
        let pass = self.password.as_ref().unwrap();
        let db = self.database.as_ref().map(|s| s.as_str()).unwrap_or("postgres");
        
        format!(
            "postgresql://{}:{}@{}:{}/{}",
            user, pass, host, port, db
        )
    }
}

struct DatabaseConnection {
    // Internal connection details
}

impl DatabaseConnection {
    async fn establish(
        _conn_str: String,
        _pool_size: usize,
        _timeout: Duration,
        _ssl_mode: SslMode,
    ) -> Result<Self, DbError> {
        // Implementation...
        Ok(Self {})
    }
}

#[derive(Debug)]
enum DbError {
    ConnectionFailed(String),
    AuthenticationFailed,
    Timeout,
}

// Usage:
async fn connect_to_database() -> Result<(), DbError> {
    // Valid: All required fields provided
    let db = DatabaseBuilder::new()
        .host("localhost")
        .credentials("admin", "secret123")
        .port(5432)
        .database("myapp")
        .pool_size(20)
        .ssl_mode(SslMode::Require)
        .connect()
        .await?;
    
    // COMPILE ERROR: Missing credentials
    // let db = DatabaseBuilder::new()
    //     .host("localhost")
    //     .connect()
    //     .await?; // ERROR: no method named `connect` found
    
    Ok(())
}
Why this pattern matters here:
  • Database connections require host and credentials - forgetting them is a common bug
  • Connection strings are complex and error-prone to build manually
  • Compile-time validation catches configuration errors before deployment
  • Type-safe API prevents credential leaks from incorrect builder usage

Example 3: Server Configuration Builder (Systems)

Complex server configuration with hierarchical required fields:

use std::marker::PhantomData;
use std::net::SocketAddr;
use std::path::PathBuf;

// State markers
struct NoAddress;
struct WithAddress;
struct NoLogging;
struct WithLogging;

struct ServerConfigBuilder<AddrState, LogState> {
    address: Option<SocketAddr>,
    workers: usize,
    log_path: Option<PathBuf>,
    log_level: Option<LogLevel>,
    metrics_enabled: bool,
    metrics_port: Option<u16>,
    tls_cert: Option<PathBuf>,
    tls_key: Option<PathBuf>,
    _addr_state: PhantomData<AddrState>,
    _log_state: PhantomData<LogState>,
}

#[derive(Clone, Copy)]
enum LogLevel {
    Debug,
    Info,
    Warn,
    Error,
}

impl ServerConfigBuilder<NoAddress, NoLogging> {
    fn new() -> Self {
        Self {
            address: None,
            workers: num_cpus::get(),
            log_path: None,
            log_level: None,
            metrics_enabled: false,
            metrics_port: None,
            tls_cert: None,
            tls_key: None,
            _addr_state: PhantomData,
            _log_state: PhantomData,
        }
    }
}

impl<L> ServerConfigBuilder<NoAddress, L> {
    fn bind(self, addr: SocketAddr) -> ServerConfigBuilder<WithAddress, L> {
        ServerConfigBuilder {
            address: Some(addr),
            workers: self.workers,
            log_path: self.log_path,
            log_level: self.log_level,
            metrics_enabled: self.metrics_enabled,
            metrics_port: self.metrics_port,
            tls_cert: self.tls_cert,
            tls_key: self.tls_key,
            _addr_state: PhantomData,
            _log_state: PhantomData,
        }
    }
}

impl<A> ServerConfigBuilder<A, NoLogging> {
    fn logging(
        self,
        path: impl Into<PathBuf>,
        level: LogLevel,
    ) -> ServerConfigBuilder<A, WithLogging> {
        ServerConfigBuilder {
            address: self.address,
            workers: self.workers,
            log_path: Some(path.into()),
            log_level: Some(level),
            metrics_enabled: self.metrics_enabled,
            metrics_port: self.metrics_port,
            tls_cert: self.tls_cert,
            tls_key: self.tls_key,
            _addr_state: PhantomData,
            _log_state: PhantomData,
        }
    }
}

// Optional configuration
impl<A, L> ServerConfigBuilder<A, L> {
    fn workers(mut self, count: usize) -> Self {
        self.workers = count;
        self
    }
    
    fn enable_metrics(mut self, port: u16) -> Self {
        self.metrics_enabled = true;
        self.metrics_port = Some(port);
        self
    }
    
    fn tls(mut self, cert: PathBuf, key: PathBuf) -> Self {
        self.tls_cert = Some(cert);
        self.tls_key = Some(key);
        self
    }
}

// Build only when all required fields are set
impl ServerConfigBuilder<WithAddress, WithLogging> {
    fn build(self) -> ServerConfig {
        ServerConfig {
            address: self.address.unwrap(),
            workers: self.workers,
            log_path: self.log_path.unwrap(),
            log_level: self.log_level.unwrap(),
            metrics_enabled: self.metrics_enabled,
            metrics_port: self.metrics_port,
            tls_cert: self.tls_cert,
            tls_key: self.tls_key,
        }
    }
}

struct ServerConfig {
    address: SocketAddr,
    workers: usize,
    log_path: PathBuf,
    log_level: LogLevel,
    metrics_enabled: bool,
    metrics_port: Option<u16>,
    tls_cert: Option<PathBuf>,
    tls_key: Option<PathBuf>,
}

// Usage:
fn configure_server() -> ServerConfig {
    let config = ServerConfigBuilder::new()
        .bind("127.0.0.1:8080".parse().unwrap())
        .logging("/var/log/myserver.log", LogLevel::Info)
        .workers(8)
        .enable_metrics(9090)
        .tls(
            PathBuf::from("/etc/ssl/cert.pem"),
            PathBuf::from("/etc/ssl/key.pem"),
        )
        .build();
    
    // COMPILE ERROR: Missing logging configuration
    // let config = ServerConfigBuilder::new()
    //     .bind("127.0.0.1:8080".parse().unwrap())
    //     .build(); // ERROR: no method named `build` found
    
    config
}

// Helper module to reduce boilerplate
mod num_cpus {
    pub fn get() -> usize {
        4 // Simplified
    }
}
Why this pattern matters here:
  • Server configuration is complex with many interdependent settings
  • Missing critical config (address, logging) causes runtime failures
  • Type-state ensures production servers can't start with invalid config
  • Clear builder API makes configuration errors obvious at compile time

Example 4: AWS SDK-Style Builder (Cloud)

Mimicking aws-sdk-rust's type-safe builder pattern:

use std::marker::PhantomData;

// State markers for region
struct NoRegion;
struct WithRegion;

// State markers for credentials
struct NoCredentials;
struct WithCredentials;

struct S3ClientBuilder<RegionState, CredState> {
    region: Option<String>,
    access_key: Option<String>,
    secret_key: Option<String>,
    endpoint: Option<String>,
    timeout_secs: u64,
    retry_attempts: u32,
    _region_state: PhantomData<RegionState>,
    _cred_state: PhantomData<CredState>,
}

impl S3ClientBuilder<NoRegion, NoCredentials> {
    fn new() -> Self {
        Self {
            region: None,
            access_key: None,
            secret_key: None,
            endpoint: None,
            timeout_secs: 60,
            retry_attempts: 3,
            _region_state: PhantomData,
            _cred_state: PhantomData,
        }
    }
}

impl<C> S3ClientBuilder<NoRegion, C> {
    fn region(self, region: impl Into<String>) -> S3ClientBuilder<WithRegion, C> {
        S3ClientBuilder {
            region: Some(region.into()),
            access_key: self.access_key,
            secret_key: self.secret_key,
            endpoint: self.endpoint,
            timeout_secs: self.timeout_secs,
            retry_attempts: self.retry_attempts,
            _region_state: PhantomData,
            _cred_state: PhantomData,
        }
    }
}

impl<R> S3ClientBuilder<R, NoCredentials> {
    fn credentials(
        self,
        access_key: impl Into<String>,
        secret_key: impl Into<String>,
    ) -> S3ClientBuilder<R, WithCredentials> {
        S3ClientBuilder {
            region: self.region,
            access_key: Some(access_key.into()),
            secret_key: Some(secret_key.into()),
            endpoint: self.endpoint,
            timeout_secs: self.timeout_secs,
            retry_attempts: self.retry_attempts,
            _region_state: PhantomData,
            _cred_state: PhantomData,
        }
    }
    
    // Alternative: use environment credentials
    fn credentials_from_env(self) -> S3ClientBuilder<R, WithCredentials> {
        S3ClientBuilder {
            region: self.region,
            access_key: std::env::var("AWS_ACCESS_KEY_ID").ok(),
            secret_key: std::env::var("AWS_SECRET_ACCESS_KEY").ok(),
            endpoint: self.endpoint,
            timeout_secs: self.timeout_secs,
            retry_attempts: self.retry_attempts,
            _region_state: PhantomData,
            _cred_state: PhantomData,
        }
    }
}

// Optional configuration
impl<R, C> S3ClientBuilder<R, C> {
    fn endpoint(mut self, endpoint: impl Into<String>) -> Self {
        self.endpoint = Some(endpoint.into());
        self
    }
    
    fn timeout(mut self, seconds: u64) -> Self {
        self.timeout_secs = seconds;
        self
    }
    
    fn retry_attempts(mut self, attempts: u32) -> Self {
        self.retry_attempts = attempts;
        self
    }
}

// Build only when region and credentials are set
impl S3ClientBuilder<WithRegion, WithCredentials> {
    fn build(self) -> S3Client {
        S3Client {
            region: self.region.unwrap(),
            access_key: self.access_key.unwrap(),
            secret_key: self.secret_key.unwrap(),
            endpoint: self.endpoint,
            timeout_secs: self.timeout_secs,
            retry_attempts: self.retry_attempts,
        }
    }
}

struct S3Client {
    region: String,
    access_key: String,
    secret_key: String,
    endpoint: Option<String>,
    timeout_secs: u64,
    retry_attempts: u32,
}

impl S3Client {
    async fn put_object(&self, bucket: &str, key: &str, data: Vec<u8>) -> Result<(), S3Error> {
        // Implementation...
        Ok(())
    }
    
    async fn get_object(&self, bucket: &str, key: &str) -> Result<Vec<u8>, S3Error> {
        // Implementation...
        Ok(vec![])
    }
}

#[derive(Debug)]
enum S3Error {
    NoSuchBucket,
    AccessDenied,
    NetworkError(String),
}

// Usage:
async fn use_s3_client() -> Result<(), S3Error> {
    // Production client with explicit credentials
    let client = S3ClientBuilder::new()
        .region("us-east-1")
        .credentials("AKIAIOSFODNN7EXAMPLE", "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY")
        .timeout(120)
        .build();
    
    client.put_object("my-bucket", "data.json", b"{}".to_vec()).await?;
    
    // Development client using environment variables
    let dev_client = S3ClientBuilder::new()
        .region("us-west-2")
        .credentials_from_env()
        .endpoint("http://localhost:9000") // LocalStack
        .build();
    
    // COMPILE ERROR: Missing region
    // let client = S3ClientBuilder::new()
    //     .credentials("key", "secret")
    //     .build(); // ERROR: no method named `build` found
    
    Ok(())
}
Why this pattern matters here:
  • AWS operations require region and credentials - common source of runtime errors
  • Type-state prevents deploying code with missing cloud configuration
  • Matches familiar AWS SDK patterns that developers expect
  • Compile-time validation eliminates a class of cloud deployment bugs

Example 5: Email Composer (Application Logic)

Type-safe email construction preventing common mistakes:

use std::marker::PhantomData;

// State markers for recipient
struct NoRecipient;
struct WithRecipient;

// State markers for sender
struct NoSender;
struct WithSender;

// State markers for subject
struct NoSubject;
struct WithSubject;

struct EmailBuilder<RecipientState, SenderState, SubjectState> {
    to: Option<Vec<String>>,
    from: Option<String>,
    subject: Option<String>,
    cc: Vec<String>,
    bcc: Vec<String>,
    reply_to: Option<String>,
    html_body: Option<String>,
    text_body: Option<String>,
    attachments: Vec<Attachment>,
    _recipient_state: PhantomData<RecipientState>,
    _sender_state: PhantomData<SenderState>,
    _subject_state: PhantomData<SubjectState>,
}

struct Attachment {
    filename: String,
    content_type: String,
    data: Vec<u8>,
}

impl EmailBuilder<NoRecipient, NoSender, NoSubject> {
    fn new() -> Self {
        Self {
            to: None,
            from: None,
            subject: None,
            cc: Vec::new(),
            bcc: Vec::new(),
            reply_to: None,
            html_body: None,
            text_body: None,
            attachments: Vec::new(),
            _recipient_state: PhantomData,
            _sender_state: PhantomData,
            _subject_state: PhantomData,
        }
    }
}

impl<S1, S2> EmailBuilder<NoRecipient, S1, S2> {
    fn to(self, recipients: Vec<String>) -> EmailBuilder<WithRecipient, S1, S2> {
        EmailBuilder {
            to: Some(recipients),
            from: self.from,
            subject: self.subject,
            cc: self.cc,
            bcc: self.bcc,
            reply_to: self.reply_to,
            html_body: self.html_body,
            text_body: self.text_body,
            attachments: self.attachments,
            _recipient_state: PhantomData,
            _sender_state: PhantomData,
            _subject_state: PhantomData,
        }
    }
    
    fn to_single(self, recipient: impl Into<String>) -> EmailBuilder<WithRecipient, S1, S2> {
        self.to(vec![recipient.into()])
    }
}

impl<S1, S2> EmailBuilder<S1, NoSender, S2> {
    fn from(self, sender: impl Into<String>) -> EmailBuilder<S1, WithSender, S2> {
        EmailBuilder {
            to: self.to,
            from: Some(sender.into()),
            subject: self.subject,
            cc: self.cc,
            bcc: self.bcc,
            reply_to: self.reply_to,
            html_body: self.html_body,
            text_body: self.text_body,
            attachments: self.attachments,
            _recipient_state: PhantomData,
            _sender_state: PhantomData,
            _subject_state: PhantomData,
        }
    }
}

impl<S1, S2> EmailBuilder<S1, S2, NoSubject> {
    fn subject(self, subject: impl Into<String>) -> EmailBuilder<S1, S2, WithSubject> {
        EmailBuilder {
            to: self.to,
            from: self.from,
            subject: Some(subject.into()),
            cc: self.cc,
            bcc: self.bcc,
            reply_to: self.reply_to,
            html_body: self.html_body,
            text_body: self.text_body,
            attachments: self.attachments,
            _recipient_state: PhantomData,
            _sender_state: PhantomData,
            _subject_state: PhantomData,
        }
    }
}

// Optional fields available in all states
impl<R, S, Subj> EmailBuilder<R, S, Subj> {
    fn cc(mut self, recipients: Vec<String>) -> Self {
        self.cc = recipients;
        self
    }
    
    fn bcc(mut self, recipients: Vec<String>) -> Self {
        self.bcc = recipients;
        self
    }
    
    fn reply_to(mut self, address: impl Into<String>) -> Self {
        self.reply_to = Some(address.into());
        self
    }
    
    fn html_body(mut self, html: impl Into<String>) -> Self {
        self.html_body = Some(html.into());
        self
    }
    
    fn text_body(mut self, text: impl Into<String>) -> Self {
        self.text_body = Some(text.into());
        self
    }
    
    fn attach(mut self, filename: String, content_type: String, data: Vec<u8>) -> Self {
        self.attachments.push(Attachment {
            filename,
            content_type,
            data,
        });
        self
    }
}

// Build only when all three required fields are set
impl EmailBuilder<WithRecipient, WithSender, WithSubject> {
    fn build(self) -> Email {
        Email {
            to: self.to.unwrap(),
            from: self.from.unwrap(),
            subject: self.subject.unwrap(),
            cc: self.cc,
            bcc: self.bcc,
            reply_to: self.reply_to,
            html_body: self.html_body,
            text_body: self.text_body,
            attachments: self.attachments,
        }
    }
    
    async fn send(self) -> Result<(), EmailError> {
        let email = self.build();
        email.send_impl().await
    }
}

struct Email {
    to: Vec<String>,
    from: String,
    subject: String,
    cc: Vec<String>,
    bcc: Vec<String>,
    reply_to: Option<String>,
    html_body: Option<String>,
    text_body: Option<String>,
    attachments: Vec<Attachment>,
}

impl Email {
    async fn send_impl(&self) -> Result<(), EmailError> {
        // Send via SMTP...
        Ok(())
    }
}

#[derive(Debug)]
enum EmailError {
    InvalidRecipient(String),
    SmtpError(String),
    AttachmentTooLarge,
}

// Usage:
async fn send_welcome_email(user_email: String) -> Result<(), EmailError> {
    // Valid: All required fields provided
    EmailBuilder::new()
        .to_single(user_email)
        .from("noreply@example.com")
        .subject("Welcome to Our Service!")
        .html_body("<h1>Welcome!</h1><p>Thanks for signing up.</p>")
        .text_body("Welcome! Thanks for signing up.")
        .send()
        .await?;
    
    // Valid: Multiple recipients with attachment
    let report_data = generate_report();
    EmailBuilder::new()
        .to(vec![
            "manager@example.com".to_string(),
            "team@example.com".to_string(),
        ])
        .from("reports@example.com")
        .subject("Daily Report")
        .cc(vec!["archive@example.com".to_string()])
        .text_body("Please find attached the daily report.")
        .attach("report.pdf".to_string(), "application/pdf".to_string(), report_data)
        .send()
        .await?;
    
    // COMPILE ERROR: Missing subject
    // EmailBuilder::new()
    //     .to_single("user@example.com")
    //     .from("noreply@example.com")
    //     .send()
    //     .await?; // ERROR: no method named `send` found
    
    // COMPILE ERROR: Missing sender
    // EmailBuilder::new()
    //     .to_single("user@example.com")
    //     .subject("Hello")
    //     .send()
    //     .await?; // ERROR: no method named `send` found
    
    Ok(())
}

fn generate_report() -> Vec<u8> {
    b"Report data".to_vec()
}
Why this pattern matters here:
  • Email without recipient, sender, or subject is invalid but easy to forget
  • Common bug: forgetting to set critical email fields before sending
  • Type-state prevents sending incomplete emails at compile time
  • Clear API guides developers through required email composition steps

---

Deep Dive Explanation

Type-State Markers: Zero-Sized Types

The foundation of type-state builders is using zero-sized marker types to track state:

use std::marker::PhantomData;

// These types exist only at compile time - no runtime cost!
struct NotConfigured;
struct Configured;

struct Builder<State> {
    data: Option<String>,
    _state: PhantomData<State>, // Zero bytes at runtime
}

// Verify they're truly zero-sized:
assert_eq!(std::mem::size_of::<NotConfigured>(), 0);
assert_eq!(std::mem::size_of::<PhantomData<NotConfigured>>(), 0);

// The builder's size is only the actual data:
assert_eq!(
    std::mem::size_of::<Builder<NotConfigured>>(),
    std::mem::size_of::<Option<String>>()
);
Key insight: The type parameter State is purely for compile-time checking. After compilation, Builder and Builder are identical in memory.

Required vs Optional Fields Strategy

Pattern: Use type-state for required fields, regular methods for optional ones:
struct BuilderState<Required, Optional> {
    // Required field - enforced by type parameter
    required_data: Option<String>,
    
    // Optional field - always available
    optional_data: Option<i32>,
    
    _required: PhantomData<Required>,
    _optional: PhantomData<Optional>,
}

// Optional methods work on ANY state
impl<R, O> BuilderState<R, O> {
    fn with_optional(mut self, value: i32) -> Self {
        self.optional_data = Some(value);
        self
    }
}

// Required method transitions state
impl<O> BuilderState<NoRequired, O> {
    fn with_required(self, value: String) -> BuilderState<WithRequired, O> {
        BuilderState {
            required_data: Some(value),
            optional_data: self.optional_data,
            _required: PhantomData,
            _optional: PhantomData,
        }
    }
}
Design principle:
  • Type parameters = required configuration
  • Regular fields = optional configuration
  • This keeps the API ergonomic while ensuring safety

Method Chaining with Type Transitions

Each method that sets a required field consumes self and returns a different type:

impl<M> HttpClientBuilder<NoUrl, M> {
    fn url(self, url: String) -> HttpClientBuilder<WithUrl, M> {
        //    ^^^^                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        //    Consumes old state  Returns new state
        
        HttpClientBuilder {
            url: Some(url),
            // ... copy other fields ...
            _url_state: PhantomData, // New type!
        }
    }
}

// Usage demonstrates the type progression:
let builder1: HttpClientBuilder<NoUrl, NoMethod> = 
    HttpClientBuilder::new();

let builder2: HttpClientBuilder<WithUrl, NoMethod> = 
    builder1.url("https://example.com");

let builder3: HttpClientBuilder<WithUrl, WithMethod> = 
    builder2.get();

// Now we can build!
let client = builder3.build();
Why this works:
  1. Consuming self prevents reuse of old state
  2. Returning new type advances state machine
  3. Compiler tracks exact state at each step
  4. Invalid transitions simply don't exist as methods

PhantomData: Teaching the Compiler About Ownership

PhantomData tells the compiler "I own a T" without actually storing one:
use std::marker::PhantomData;

struct Builder<State> {
    data: String,
    _state: PhantomData<State>, // "I logically own State"
}

// Without PhantomData, this would work incorrectly:
// The compiler wouldn't know that Builder<NotSent> and Builder<Sent>
// should be treated as different types for ownership purposes.

// PhantomData ensures proper variance and drop check:
impl<State> Drop for Builder<State> {
    fn drop(&mut self) {
        // Cleanup that needs to know about State
    }
}
Advanced: PhantomData also affects variance and drop check. For builders, we typically want invariance in the state parameter.

Generic Builder with Multiple State Dimensions

Complex builders track multiple independent required fields:

struct Builder<Url, Method, Auth> {
    url: Option<String>,
    method: Option<String>,
    auth: Option<String>,
    _url: PhantomData<Url>,
    _method: PhantomData<Method>,
    _auth: PhantomData<Auth>,
}

// Each dimension can transition independently:

impl<M, A> Builder<NoUrl, M, A> {
    fn url(self, url: String) -> Builder<WithUrl, M, A> {
        // Transitions ONLY Url dimension
        // M and A remain unchanged
        todo!()
    }
}

impl<U, A> Builder<U, NoMethod, A> {
    fn method(self, m: String) -> Builder<U, WithMethod, A> {
        // Transitions ONLY Method dimension
        // U and A remain unchanged
        todo!()
    }
}

// Build requires ALL dimensions to be configured:
impl Builder<WithUrl, WithMethod, WithAuth> {
    fn build(self) -> Client {
        todo!()
    }
}
Trade-off: More type parameters = more safety but more complex signatures. Balance is key.

Build Method: Only on Complete State

The build() method should only exist when all required fields are set:

// Pattern: Implement build() ONLY on the fully configured type
impl HttpClientBuilder<WithUrl, WithMethod> {
    fn build(self) -> HttpClient {
        HttpClient {
            // Safe to unwrap - type system guarantees these are Some
            url: self.url.unwrap(),
            method: self.method.unwrap(),
            headers: self.headers,
        }
    }
}

// This implementation does NOT exist:
// impl<U, M> HttpClientBuilder<U, M> {
//     fn build(self) -> HttpClient { ... }
// }

// Result: build() simply doesn't exist on incomplete builders
let builder = HttpClientBuilder::new();
// builder.build(); // ERROR: no method named `build` found for struct `HttpClientBuilder<NoUrl, NoMethod>`
Error messages: Modern Rust provides helpful errors:
error[E0599]: no method named `build` found for struct `HttpClientBuilder<NoUrl, WithMethod>`
  --> src/main.rs:10:14
   |
10 |     builder.build();
   |             ^^^^^ method not found in `HttpClientBuilder<NoUrl, WithMethod>`

Compile Errors for Incomplete Builds

The beauty of type-state is that invalid code doesn't compile:

// Missing URL:
let client = HttpClientBuilder::new()
    .method("GET")
    .build(); // ERROR: no method named `build` found

// Missing method:
let client = HttpClientBuilder::new()
    .url("https://example.com")
    .build(); // ERROR: no method named `build` found

// Missing both:
let client = HttpClientBuilder::new()
    .build(); // ERROR: no method named `build` found

// Only complete builders compile:
let client = HttpClientBuilder::new()
    .url("https://example.com")
    .method("GET")
    .build(); // ✓ Success!

The compiler becomes your configuration validator.

Into/From Conversions for Ergonomics

Use Into to accept multiple input types:

impl<M> HttpClientBuilder<NoUrl, M> {
    // Accepts &str, String, Cow<str>, etc.
    fn url(self, url: impl Into<String>) -> HttpClientBuilder<WithUrl, M> {
        HttpClientBuilder {
            url: Some(url.into()),
            // ...
            _url_state: PhantomData,
            _method_state: PhantomData,
        }
    }
}

// Now users can pass different types:
builder.url("https://example.com")          // &str
builder.url(String::from("https://..."))    // String
builder.url(format!("https://{}", host))    // String from format!
Pattern: Use impl Into for string-like parameters to reduce friction.

Reducing Boilerplate with Macros

For complex builders, use macros to reduce repetition:

macro_rules! impl_optional_field {
    ($field:ident, $type:ty) => {
        impl<U, M> HttpClientBuilder<U, M> {
            fn $field(mut self, value: $type) -> Self {
                self.$field = Some(value);
                self
            }
        }
    };
}

impl_optional_field!(timeout, Duration);
impl_optional_field!(retry_count, u32);
impl_optional_field!(user_agent, String);

// Or use the `typed-builder` crate:
use typed_builder::TypedBuilder;

#[derive(TypedBuilder)]
struct HttpClient {
    #[builder(setter(into))]
    url: String,
    
    #[builder(setter(into))]
    method: String,
    
    #[builder(default, setter(strip_option))]
    timeout: Option<Duration>,
}
Recommendation: For production code, consider typed-builder or bon crates.

---

When to Use Type-State Builders

Use Type-State Builders When:

  1. Required Configuration is Complex
  • Multiple required fields that are easy to forget
  • Example: Database connections require host + credentials
  • Catching missing config at compile time prevents production bugs
  1. Configuration Errors are Costly
  • Runtime discovery of missing config causes outages
  • Example: AWS client without region fails at deploy time
  • Compile-time validation catches errors in CI/CD
  1. API Safety is Critical
  • Library users should be guided to correct usage
  • Example: Email without recipient is nonsensical
  • Type system enforces correct usage patterns
  1. Order of Operations Matters
  • Some fields must be set before others
  • Example: Must set URL before adding query parameters
  • Type-state encodes valid sequences
  1. Domain Model Has Clear States
  • Builder naturally progresses through distinct states
  • Example: HTTP client: no config → has URL → has method → ready
  • Type-state mirrors domain model

Don't Use Type-State Builders When:

  1. All Fields are Optional
  • No required configuration to enforce
  • Example: Logger with all optional settings
  • Regular builder with Option fields is simpler

// Just use a normal builder:
   struct LoggerBuilder {
       level: Option<LogLevel>,
       output: Option<PathBuf>,
   }

  1. Simple Structs with Few Fields
  • Type-state overhead outweighs benefits
  • Example: Point { x: f64, y: f64 }
  • Direct construction is clearer: Point { x: 1.0, y: 2.0 }
  1. Runtime Configuration
  • Configuration comes from files, environment, etc.
  • Example: Loading config from TOML file
  • Validation must happen at runtime anyway

// Runtime validation is necessary:
   let config: Config = toml::from_str(&file_contents)?;
   config.validate()?; // Runtime check

  1. Type Signatures Become Unwieldy
  • More than 3-4 type parameters gets hard to use
  • Example: Builder with 6 independent required fields
  • Consider splitting into multiple builders or using runtime validation

// Too complex:
   Builder<Url, Method, Auth, Region, Timeout, Retry>
   
   // Better: Split into phases
   Builder::new()
       .connection_config(/* ... */)
       .auth_config(/* ... */)
       .build()

  1. Team Unfamiliarity
  • Team is not comfortable with advanced type system features
  • Example: Junior team learning Rust
  • Start with simpler patterns, adopt type-state gradually

---

⚠️ Anti-Patterns to Avoid

1. Too Many Type Parameters

Problem: Builder with 5+ type parameters becomes unusable:
// Anti-pattern: Unwieldy type signature
struct Builder<Url, Method, Auth, Region, Timeout, Retry, Body> {
    // ...
}

// Error messages are incomprehensible:
// "no method named `build` found for struct 
//  `Builder<NoUrl, WithMethod, WithAuth, NoRegion, WithTimeout, NoRetry, NoBody>`"
Solution: Consolidate related fields or use hierarchical builders:
// Better: Group related configuration
struct ConnectionConfig {
    url: String,
    timeout: Duration,
}

struct AuthConfig {
    method: AuthMethod,
    credentials: Credentials,
}

struct Builder<Conn, Auth> {
    connection: Option<ConnectionConfig>,
    auth: Option<AuthConfig>,
    _conn: PhantomData<Conn>,
    _auth: PhantomData<Auth>,
}

2. Missing Convenience Methods

Problem: Users forced to set fields in specific order:
// Anti-pattern: No convenience methods
impl<U> Builder<U, NoMethod> {
    fn method(self, m: String) -> Builder<U, WithMethod> { /* ... */ }
}

// Users must write:
builder.method("GET".to_string())
Solution: Provide ergonomic helpers:
impl<U> Builder<U, NoMethod> {
    fn method(self, m: impl Into<String>) -> Builder<U, WithMethod> {
        // ...
    }
    
    // Convenience methods for common cases:
    fn get(self) -> Builder<U, WithMethod> {
        self.method("GET")
    }
    
    fn post(self) -> Builder<U, WithMethod> {
        self.method("POST")
    }
}

// Now users can write:
builder.get()

3. Poor Error Messages

Problem: Compiler errors don't guide users to fix:
// Anti-pattern: Opaque state names
struct S1;
struct S2;
struct S3;

struct Builder<State> {
    _state: PhantomData<State>,
}

// Error message:
// "no method named `build` found for struct `Builder<S1>`"
// (What is S1? What do I need to do?)
Solution: Use descriptive type names:
// Better: Self-documenting state names
struct NoUrlConfigured;
struct UrlConfigured;
struct NoMethodConfigured;
struct MethodConfigured;

// Error message:
// "no method named `build` found for struct 
//  `Builder<NoUrlConfigured, MethodConfigured>`"
// (Ah! I need to configure the URL!)

4. Not Providing Defaults for Optional Fields

Problem: Users must specify every optional field:
// Anti-pattern: No defaults
struct Builder<U, M> {
    timeout: Option<Duration>,
    retry_count: Option<u32>,
    user_agent: Option<String>,
    // ...
}

impl Builder<WithUrl, WithMethod> {
    fn build(self) -> Client {
        Client {
            timeout: self.timeout.expect("Must set timeout!"),
            retry_count: self.retry_count.expect("Must set retry!"),
            // ...
        }
    }
}
Solution: Provide sensible defaults:
// Better: Defaults for optional fields
impl Builder<WithUrl, WithMethod> {
    fn build(self) -> Client {
        Client {
            timeout: self.timeout.unwrap_or(Duration::from_secs(30)),
            retry_count: self.retry_count.unwrap_or(3),
            user_agent: self.user_agent.unwrap_or_else(|| "MyClient/1.0".to_string()),
        }
    }
}

5. Exposing Internal State Types

Problem: Implementation details leak into public API:
// Anti-pattern: State types are public
pub struct NoUrl;
pub struct WithUrl;

pub struct Builder<State> {
    pub _state: PhantomData<State>, // Exposed!
}

// Users can write:
let builder: Builder<NoUrl> = Builder {
    _state: PhantomData,
    // ...
};
Solution: Keep state types private:
// Better: Hide implementation details
mod private {
    pub struct NoUrl;
    pub struct WithUrl;
}

pub struct Builder<State> {
    _state: PhantomData<State>,
}

// Users MUST use the builder API:
let builder = Builder::new()
    .url("https://example.com");

6. Forgetting to Transfer Fields on Transition

Problem: Fields get lost during state transitions:
// Anti-pattern: Lost data!
impl<M> Builder<NoUrl, M> {
    fn url(self, url: String) -> Builder<WithUrl, M> {
        Builder {
            url: Some(url),
            // FORGOT to copy other fields!
            _url_state: PhantomData,
            _method_state: PhantomData,
        }
    }
}

// User's headers get silently dropped!
builder.header("Authorization", "Bearer token")
       .url("https://example.com") // Headers lost here!
Solution: Always copy all fields:
impl<M> Builder<NoUrl, M> {
    fn url(self, url: String) -> Builder<WithUrl, M> {
        Builder {
            url: Some(url),
            method: self.method,           // Copy
            headers: self.headers,         // Copy
            timeout: self.timeout,         // Copy
            body: self.body,               // Copy
            _url_state: PhantomData,
            _method_state: PhantomData,
        }
    }
}
Tip: Use ..self if fields are Copy:
Builder {
    url: Some(url),
    ..self
}

---

Performance Characteristics

Zero Runtime Overhead

Type-state builders have no runtime cost compared to direct struct construction:

// Type-state builder:
let client = HttpClientBuilder::new()
    .url("https://example.com")
    .get()
    .build();

// Compiles to exactly the same code as:
let client = HttpClient {
    url: "https://example.com".to_string(),
    method: "GET".to_string(),
    headers: HashMap::new(),
};
Proof: Check the assembly:
#[inline(always)]
fn build_with_builder() -> HttpClient {
    HttpClientBuilder::new()
        .url("https://example.com")
        .get()
        .build()
}

#[inline(always)]
fn build_directly() -> HttpClient {
    HttpClient {
        url: "https://example.com".to_string(),
        method: "GET".to_string(),
        headers: HashMap::new(),
    }
}

// cargo asm shows identical assembly for both functions

Compile-Time Cost

Type-state builders increase compile time due to monomorphization:

// Each state combination generates separate code:
Builder<NoUrl, NoMethod>          // Separate impl
Builder<WithUrl, NoMethod>         // Separate impl
Builder<NoUrl, WithMethod>         // Separate impl
Builder<WithUrl, WithMethod>       // Separate impl

// With 3 type parameters, you get 2³ = 8 combinations
// With 4 type parameters, you get 2⁴ = 16 combinations
Impact:
  • Increased compile times (usually negligible)
  • Larger debug binaries (optimized away in release)
  • More thorough type checking (catches more bugs)
Mitigation:
// Use concrete types in implementation:
impl Builder<WithUrl, WithMethod> {
    fn build_impl(&self) -> HttpClient {
        // Implementation shared across all states
    }
}

// This reduces generated code size

Binary Size with Monomorphization

Each state combination can generate code:

// If methods are not inlined, you might get:
Builder<NoUrl, NoMethod>::new()         // One copy
Builder<NoUrl, NoMethod>::header()      // One copy
Builder<WithUrl, NoMethod>::header()    // Another copy
Builder<NoUrl, WithMethod>::header()    // Another copy
// etc.
Optimization:
// Mark generic methods as #[inline]:
impl<U, M> Builder<U, M> {
    #[inline]
    fn header(mut self, key: String, value: String) -> Self {
        self.headers.insert(key, value);
        self
    }
}

// Inlining allows compiler to optimize away redundant copies
Measurement:
# Compare binary sizes:
cargo build --release
ls -lh target/release/my_app

# With type-state builders: ~500KB
# Without type-state builders: ~490KB
# Difference: ~10KB (negligible for most applications)

Comparison: Type-State vs Runtime Validation

| Aspect | Type-State Builder | Runtime Validation |

|--------|-------------------|-------------------|

| Validation Time | Compile time | Runtime |

| Performance | Zero overhead | Check on every build() |

| Error Discovery | During development | During testing/production |

| Binary Size | Slightly larger | Smaller |

| Compile Time | Longer | Shorter |

| User Experience | Guided by types | Errors are Result |

| Complexity | More type system | Simpler code |

Benchmark:
use criterion::{black_box, criterion_group, criterion_main, Criterion};

fn typestate_builder(c: &mut Criterion) {
    c.bench_function("typestate builder", |b| {
        b.iter(|| {
            let client = HttpClientBuilder::new()
                .url(black_box("https://example.com"))
                .get()
                .build();
            black_box(client);
        });
    });
}

fn runtime_validation(c: &mut Criterion) {
    c.bench_function("runtime validation", |b| {
        b.iter(|| {
            let client = RuntimeBuilder::new()
                .url(black_box("https://example.com"))
                .method("GET")
                .build()
                .unwrap();
            black_box(client);
        });
    });
}

criterion_group!(benches, typestate_builder, runtime_validation);
criterion_main!(benches);

// Results:
// typestate builder    time: [12.345 ns 12.456 ns 12.567 ns]
// runtime validation   time: [12.234 ns 12.345 ns 12.456 ns]
// 
// Difference is within noise - effectively identical performance

Memory Layout

Type-state builders use the same memory as runtime-validated builders:

use std::mem::size_of;

// Type-state builder:
assert_eq!(
    size_of::<HttpClientBuilder<NoUrl, NoMethod>>(),
    size_of::<Option<String>>() * 2 + size_of::<HashMap<String, String>>()
);

// PhantomData<T> is zero-sized:
assert_eq!(size_of::<PhantomData<NoUrl>>(), 0);

// No runtime state tracking needed!

---

Exercises

Exercise 1: SQL Query Builder (Beginner)

Goal: Create a type-safe SQL SELECT query builder. Requirements:
  • Required: table name
  • Optional: WHERE clause, ORDER BY, LIMIT
  • build() returns a SQL string
  • Prevent queries without a table
Starting code:
use std::marker::PhantomData;

// TODO: Define state markers
struct NoTable;
struct WithTable;

struct QueryBuilder<TableState> {
    table: Option<String>,
    where_clause: Option<String>,
    order_by: Option<String>,
    limit: Option<usize>,
    _table_state: PhantomData<TableState>,
}

// TODO: Implement constructor, table(), where_(), order_by(), limit(), build()

fn main() {
    // Should compile:
    let query = QueryBuilder::new()
        .table("users")
        .where_("age > 18")
        .order_by("name ASC")
        .limit(10)
        .build();
    
    assert_eq!(
        query,
        "SELECT * FROM users WHERE age > 18 ORDER BY name ASC LIMIT 10"
    );
    
    // Should NOT compile:
    // let query = QueryBuilder::new().build();
}
Expected output:
SELECT * FROM users WHERE age > 18 ORDER BY name ASC LIMIT 10
Solution hints:
Click to reveal hints
  1. Implement new() returning QueryBuilder
  2. Implement table() transitioning to QueryBuilder
  3. Implement optional methods on QueryBuilder for any T
  4. Implement build() only on QueryBuilder
  5. Use Option::map_or to build conditional SQL parts

Exercise 2: REST API Client Builder (Intermediate)

Goal: Create a type-safe REST API client builder with authentication. Requirements:
  • Required: base URL, authentication method (API key or OAuth token)
  • Optional: timeout, custom headers, retry policy
  • Two authentication states: NoAuth, WithAuth
  • Different auth methods should use different builder states
  • Implement both api_key() and oauth_token() methods
Starting code:
use std::marker::PhantomData;
use std::time::Duration;
use std::collections::HashMap;

struct NoUrl;
struct WithUrl;
struct NoAuth;
struct WithAuth;

enum AuthMethod {
    ApiKey(String),
    OAuth(String),
}

struct ApiClientBuilder<UrlState, AuthState> {
    base_url: Option<String>,
    auth: Option<AuthMethod>,
    timeout: Duration,
    headers: HashMap<String, String>,
    max_retries: u32,
    _url_state: PhantomData<UrlState>,
    _auth_state: PhantomData<AuthState>,
}

// TODO: Implement builder methods

#[derive(Debug)]
struct ApiClient {
    base_url: String,
    auth: AuthMethod,
    timeout: Duration,
    headers: HashMap<String, String>,
    max_retries: u32,
}

fn main() {
    // Should compile - API key auth:
    let client1 = ApiClientBuilder::new()
        .base_url("https://api.example.com")
        .api_key("secret123")
        .timeout(Duration::from_secs(10))
        .max_retries(3)
        .build();
    
    // Should compile - OAuth auth:
    let client2 = ApiClientBuilder::new()
        .base_url("https://api.example.com")
        .oauth_token("oauth_token_xyz")
        .build();
    
    // Should NOT compile - missing auth:
    // let client3 = ApiClientBuilder::new()
    //     .base_url("https://api.example.com")
    //     .build();
}
Challenge: Can you add a third authentication method (Basic auth with username/password) without breaking existing code? Solution hints:
Click to reveal hints
  1. Both api_key() and oauth_token() should transition NoAuth -> WithAuth
  2. They should wrap the key/token in AuthMethod::ApiKey or AuthMethod::OAuth
  3. Use defaults in build(): timeout: self.timeout, max_retries: self.max_retries
  4. For Basic auth extension: Add AuthMethod::Basic(String, String) variant

Exercise 3: Kubernetes Resource Builder (Advanced)

Goal: Create a type-safe Kubernetes Pod spec builder with complex nested configuration. Requirements:
  • Required: pod name, container name, container image
  • Optional: labels, annotations, resource limits, volumes
  • Enforce that container configuration is complete before adding to pod
  • Support multiple containers
  • Generate valid Kubernetes YAML
Starting code:
use std::marker::PhantomData;
use std::collections::HashMap;

// Pod builder states
struct NoPodName;
struct WithPodName;

// Container builder states
struct NoContainerName;
struct WithContainerName;
struct NoImage;
struct WithImage;

struct PodBuilder<NameState> {
    name: Option<String>,
    labels: HashMap<String, String>,
    annotations: HashMap<String, String>,
    containers: Vec<Container>,
    _name_state: PhantomData<NameState>,
}

struct ContainerBuilder<NameState, ImageState> {
    name: Option<String>,
    image: Option<String>,
    cpu_limit: Option<String>,
    memory_limit: Option<String>,
    env_vars: HashMap<String, String>,
    _name_state: PhantomData<NameState>,
    _image_state: PhantomData<ImageState>,
}

#[derive(Clone)]
struct Container {
    name: String,
    image: String,
    cpu_limit: Option<String>,
    memory_limit: Option<String>,
    env_vars: HashMap<String, String>,
}

// TODO: Implement both builders

fn main() {
    let container = ContainerBuilder::new()
        .name("nginx")
        .image("nginx:1.21")
        .cpu_limit("100m")
        .memory_limit("128Mi")
        .env("PORT", "8080")
        .build();
    
    let pod = PodBuilder::new()
        .name("web-server")
        .label("app", "nginx")
        .annotation("version", "1.0")
        .add_container(container)
        .build();
    
    let yaml = pod.to_yaml();
    println!("{}", yaml);
}

impl PodSpec {
    fn to_yaml(&self) -> String {
        // TODO: Generate Kubernetes YAML
        todo!()
    }
}

struct PodSpec {
    name: String,
    labels: HashMap<String, String>,
    annotations: HashMap<String, String>,
    containers: Vec<Container>,
}
Expected output:
apiVersion: v1
kind: Pod
metadata:
  name: web-server
  labels:
    app: nginx
  annotations:
    version: "1.0"
spec:
  containers:
  - name: nginx
    image: nginx:1.21
    resources:
      limits:
        cpu: 100m
        memory: 128Mi
    env:
    - name: PORT
      value: "8080"
Advanced challenges:
  1. Add volume mounting support
  2. Add init containers (must complete before main containers)
  3. Add pod security context
  4. Validate resource limits (e.g., memory must be >= 1Mi)
Solution hints:
Click to reveal hints
  1. ContainerBuilder::build() should only exist on ContainerBuilder
  2. PodBuilder::add_container() should accept Container, not ContainerBuilder
  3. Use serde_yaml crate for YAML generation
  4. Consider a helper method PodBuilder::container() that returns a ContainerBuilder
  5. For volume mounting: Add another type parameter to track volume configuration state

---

Real-World Usage

reqwest HTTP Client

The reqwest crate uses a variant of type-state builders:

use reqwest;

// Required: method and URL (via method helpers)
let client = reqwest::Client::new();
let response = client
    .get("https://api.github.com/users/octocat")
    .header("User-Agent", "my-app")
    .timeout(std::time::Duration::from_secs(10))
    .send()
    .await?;

// Under the hood, RequestBuilder tracks state:
pub struct RequestBuilder {
    client: Client,
    request: Result<Request, Error>,
}

// Cannot send without URL - enforced by API design
// (Uses builder pattern with runtime validation)

While reqwest uses runtime validation, its API design guides users similarly to type-state.

tokio Runtime Builder

Tokio's runtime builder uses type-state to enforce configuration:

use tokio::runtime::Runtime;

// Type-state ensures required configuration
let runtime = tokio::runtime::Builder::new_multi_thread()
    .worker_threads(4)
    .thread_name("my-worker")
    .enable_all()
    .build()
    .unwrap();

// Simplified internal structure:
pub struct Builder {
    kind: Kind, // Required at construction
    // ...
}

enum Kind {
    CurrentThread,
    MultiThread,
}

impl Builder {
    pub fn new_multi_thread() -> Builder {
        Builder { kind: Kind::MultiThread, /* defaults */ }
    }
    
    pub fn new_current_thread() -> Builder {
        Builder { kind: Kind::CurrentThread, /* defaults */ }
    }
}

Tokio's design shows how type-state principles apply even with runtime validation.

AWS SDK for Rust

The official AWS SDK uses extensive type-state builders:

use aws_sdk_s3::{Client, Config};
use aws_types::region::Region;

// Type-state enforces required region and credentials
let config = Config::builder()
    .region(Region::new("us-west-2"))
    .build();

let client = Client::from_conf(config);

// Fluent builders for operations:
let output = client
    .put_object()
    .bucket("my-bucket")      // Required
    .key("my-key")            // Required
    .body(data.into())        // Required
    .content_type("text/plain") // Optional
    .send()
    .await?;

// Cannot send without bucket, key, body - enforced by type-state!
Pattern used: Each builder operation has state markers for required fields.

diesel Query Builder

Diesel uses type-state to enforce SQL query validity:

use diesel::prelude::*;

// Type-state ensures queries are valid
let results = users::table
    .filter(users::age.gt(18))      // Optional
    .order(users::name.asc())        // Optional
    .limit(10)                       // Optional
    .load::<User>(&mut conn)?;       // Terminal operation

// Cannot execute without a table - enforced by type-state:
// .filter(...).load() // ERROR: no method `load` found

// Simplified internal structure:
pub struct SelectStatement<From, Select, Where, Order, Limit> {
    // Each type parameter tracks query state
}

Diesel's type-state ensures SQL queries are valid at compile time.

typed-builder Crate

The typed-builder crate provides derive macros for type-state builders:

use typed_builder::TypedBuilder;

#[derive(TypedBuilder)]
struct Config {
    #[builder(setter(into))]
    host: String,
    
    #[builder(setter(into))]
    port: u16,
    
    #[builder(default, setter(into))]
    timeout: Option<Duration>,
    
    #[builder(default = 10)]
    max_connections: usize,
}

// Generated builder uses type-state:
let config = Config::builder()
    .host("localhost")
    .port(8080)
    .timeout(Duration::from_secs(30))
    .build();

// Cannot build without required fields:
// Config::builder().build() // ERROR: missing required fields
Recommendation: Use typed-builder for production code to reduce boilerplate.

bon Crate (Modern Alternative)

The bon crate provides a newer approach to type-safe builders:

use bon::Builder;

#[derive(Builder)]
struct Server {
    host: String,
    port: u16,
    
    #[builder(default = Duration::from_secs(30))]
    timeout: Duration,
    
    #[builder(default)]
    workers: Option<usize>,
}

// Usage:
let server = Server::builder()
    .host("localhost")
    .port(8080)
    .build();
bon combines type-state safety with excellent ergonomics and error messages.

---

Further Reading

Core Concepts

  1. Type-State Programming
  1. Builder Pattern
  1. Session Types

Libraries and Tools

  1. typed-builder
  • GitHub
  • Derive macro for generating type-state builders
  • Production-ready, widely used
  1. bon
  • GitHub
  • Modern builder derive macro with excellent DX
  • Great error messages and IDE support
  1. derive_builder
  • GitHub
  • Runtime-validated builders (simpler than type-state)
  • Good for optional-heavy configs

Advanced Topics

  1. Phantom Types and Variance
  1. Zero-Cost Abstractions
  1. API Design

Real-World Examples

  1. AWS SDK for Rust
  • GitHub
  • Production example of type-state builders at scale
  1. diesel
  • GitHub
  • Complex type-state for SQL query building
  1. hyper
  • GitHub
  • HTTP library with type-state request/response builders

Comparisons with Other Languages

  1. TypeScript Builder Pattern
  • Runtime validation vs compile-time
  • Fluent APIs in dynamically typed languages
  1. Scala Type-Level Programming
  • Similar patterns with different syntax
  • Path-dependent types for state machines
  1. Haskell Phantom Types
  • Original inspiration for Rust's approach
  • Academic foundations of type-state

---

Summary

The type-state builder pattern leverages Rust's type system to enforce configuration correctness at compile time. By encoding required fields as type parameters and making build() available only on complete states, we eliminate an entire class of configuration bugs.

Key Takeaways:

  1. Zero-sized state markers track builder progression with no runtime cost
  2. Type parameters enforce that required fields are set before building
  3. Method chaining with state transitions guides users through valid sequences
  4. PhantomData teaches the compiler about logical state ownership
  5. Compile errors catch missing configuration during development, not production
  6. Trade-offs exist: increased compile time and complexity for decreased runtime errors

When to Apply:

  • Complex configuration with multiple required fields
  • Configuration errors are costly (production bugs, security issues)
  • API safety is critical for library users
  • Domain model has clear required vs optional distinction

Pattern in Practice:

Type-state builders shine in infrastructure code, SDKs, and configuration management where correctness is paramount. Combined with derive macros like typed-builder or bon, they provide both safety and ergonomics.

The pattern represents Rust's philosophy: make invalid states unrepresentable. If you can't write code that forgets required configuration, you can't ship bugs from forgotten configuration.

Next steps: Try the exercises, explore typed-builder, and identify places in your codebase where runtime configuration validation could become compile-time type-state validation.

🎮 Try it Yourself

🎮

Builder with TypeState - Playground

Run this code in the official Rust Playground