TORM - Tokio ORM

TORM is a Rust ORM (Object-Relational Mapping) library built on the Tokio async runtime, providing GORM-like functionality with a layered module design (Database / ORM / Utils / Monitoring).

🎯 Key Features

✅ Standard SQLite Support - Built on rusqlite, generates standard SQLite file format (readable by sqlite3 and other SQLite tools)
✅ Pure Rust Storage Engine - Built-in zero-dependency in-memory storage engine (StorageEngine)
✅ PostgreSQL Support - Native wire protocol implementation (cleartext / MD5 / SCRAM-SHA-256 auth, parameterized queries)
✅ MySQL Support - Native wire protocol implementation (mysql_native_password / caching_sha2_password / sha256_password auth, text/binary protocol parameterized queries)
✅ Async/await Support - Fully based on the Tokio async runtime
✅ Multi-Database Support - MySQL, PostgreSQL, SQLite
✅ Fluent Query Builder - Clean and intuitive query API
✅ Query Direct Execution - insert / update / delete execute SQL directly, inspect with return_sql()
✅ Advanced Queries - JOIN, GROUP BY, HAVING, aggregate functions
✅ Zero SqlValue - where_* / insert / update accept plain Rust values (i32 / f64 / &str / bool ...) via Into<SqlValue>
✅ Dapper-style Typed Mapping - QueryExecutor::models::<M>() maps rows back into typed Vec<M>
✅ Model Trait - Automatic management of created_at, updated_at timestamps
✅ #[derive(Model)] Macro - Generate the Model impl from a plain struct, eliminating boilerplate
✅ GORM-style Model CRUD - create / first / last / all / update / delete on Database
✅ Auto-increment Primary Key - #[derive(Model)] marks integer PK auto-increment; id: 0 auto-assigns & refills
✅ GORM-style Indexes - primaryKey / index / uniqueIndex field tags with auto_migrate table/index creation
✅ Transaction Support - Create, commit, and rollback transactions
✅ Connection Pooling - Pools for SQLite/MySQL/PostgreSQL
✅ SQL Injection Protection - Identifier validation/quotation, string escaping, and dangerous-pattern detection (utils::sql_safety)
✅ Logging & Performance Monitoring - Built-in logging system and performance stats

📦 Dependencies

[dependencies]
tokio = "1.53"              # Async runtime
rusqlite = { version = "0.30", features = ["bundled"] }  # SQLite (standard file format)
uuid = "1.0"                # UUID generation
serde = "1.0"               # Serialization
serde_json = "1.0"          # JSON support
chrono = "0.4"              # Time handling
async-trait = "0.1"         # Async traits
thiserror = "1.0"           # Error derivation
# PostgreSQL / MySQL wire protocol authentication
sha2 = "0.10"               # PostgreSQL SCRAM-SHA-256 / MySQL caching_sha2_password
sha1 = "0.10"               # MySQL mysql_native_password authentication
md-5 = "0.10"               # PostgreSQL MD5 authentication
hex = "0.4"                 # Byte/hex encoding
base64 = "0.22"             # SCRAM base64 encoding
# RSA encryption for MySQL caching_sha2_password full auth (MySQL 8.0+)
rsa = "0.9"
num-bigint = "0.4"
rand = "0.8"

Database Layer Implementation

Feature	Implementation	Status
SQLite	rusqlite (standard file format)	✅ Complete
In-memory engine	Pure Rust StorageEngine	✅ Complete
MySQL	Custom wire protocol (native)	✅ Complete
PostgreSQL	Custom wire protocol (native)	✅ Complete
Type safety	SqlValue + auto-conversion (`Into<SqlValue>`)	✅ Complete
Typed mapping	Dapper-style: model CRUD maps rows back to typed structs	✅ Complete
Auto-increment PK	`#[derive(Model)]` marks integer PK auto-increment	✅ Complete
Transactions	Custom implementation	✅ Complete

🏗 Module Structure

src/
├── lib.rs              # Module declarations and exports
├── db/                 # Database layer
│   ├── db_types.rs     # SQL type system (SqlValue, Row, QueryResult)
│   ├── database.rs     # Connection abstraction, transactions, factory, Database
│   ├── driver.rs       # DBDriver, Dsn
│   ├── error.rs        # TormError
│   ├── storage.rs      # Pure Rust in-memory storage engine
│   ├── sqlite.rs       # SQLite implementation (rusqlite backend)
│   ├── mysql.rs        # MySQL wire protocol implementation
│   ├── postgresql.rs   # PostgreSQL wire protocol implementation
│   └── pool.rs         # Connection pools
├── orm/                # ORM layer
│   ├── model.rs        # Model trait
│   ├── query.rs        # Query/QueryBuilder
│   ├── advanced_query.rs # Advanced queries (JOIN/GROUP BY/aggregates)
│   ├── relations.rs    # Relationships
│   └── migration.rs    # Migrations
├── utils/              # Utils layer (zero-dependency implementations)
│   ├── simple_pool.rs  # Simple connection pool
│   ├── simple_lru.rs   # LRU cache
│   ├── simple_error.rs # Simplified errors
│   ├── simple_uuid.rs  # UUID/ID generation
│   └── sql_safety.rs   # SQL injection protection (identifiers, escaping, detection)
└── monitoring/         # Monitoring layer
    ├── logger.rs       # Logging system
    └── performance.rs  # Performance monitoring

🚀 Quick Start

Basic Usage

The recommended way is to define a #[derive(Model)] struct first, then use the high-level ORM API. All insert / query / update / delete values are plain Rust types — no SqlValue needed.

use torm::{Database, Model, Query};

// Define a model; the macro generates the schema, column mapping and from_row.
#[derive(Debug, Clone, Model)]
#[model(table_name = "users")]
pub struct User {
    pub id: i64,        // 0 -> auto-increment, auto-filled after create
    pub name: String,
    pub age: i32,
}

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // 1. Create a SQLite database (standard SQLite file format)
    let db = Database::sqlite("mydb.db").await?;

    // 2. Auto-create the table from the model schema
    db.auto_migrate::<User>().await?;

    // 3. Insert data (id auto-assigned & written back)
    let mut alice = User { id: 0, name: "Alice".into(), age: 25 };
    db.create(&mut alice).await?;

    // 4. Query with conditions, mapped back to Vec<User>
    let adults: Vec<User> = Query::new("users")
        .where_gte("age", 18)
        .query(&db)
        .models::<User>()
        .await?;
    for u in &adults {
        println!("{}: {}", u.name, u.age);
    }

    // 5. Update (executes SQL, returns affected rows)
    let affected = db.update(&mut alice, &[("age", 26)]).await?;

    db.close().await?;
    Ok(())
}

The generated mydb.db is a standard SQLite file, directly inspectable with sqlite3 mydb.db:

$ sqlite3 mydb.db ".tables"
users
$ sqlite3 mydb.db "SELECT * FROM users;"
1|Alice|25

If you prefer low-level raw SQL (e.g. for arbitrary queries), use db.execute(sql, &[SqlValue...]) — see the "Type-Safe SQL Values" section below.

Type-Safe SQL Values

let value: SqlValue = 42.into();                    // I32(42)
let value: SqlValue = "hello".into();               // String("hello")
let value: SqlValue = true.into();                  // Bool(true)
let value = SqlValue::DateTime(chrono::Utc::now()); // DateTime(...)

// SQL string conversion
let sql = value.to_sql_string();  // "42", "'hello'", "TRUE"

SQL Injection Protection

The utils::sql_safety module (re-exported at the crate root) provides defense-in-depth against SQL injection. While parameterized queries (? / $1 placeholders) are the first line of defense for values, identifiers (table/column names) are still interpolated directly into SQL. The library automatically validates identifiers in Query / AdvancedQuery / model CRUD; for custom SQL you can use these utilities directly:

use torm::{
    SqlSanitizer, validate_identifier, quote_identifier,
    escape_string, contains_injection_pattern,
};

// 1. Validate / quote identifiers before splicing them into SQL
assert_eq!(validate_identifier("user_name"), Ok("user_name".to_string()));
assert!(validate_identifier("name; DROP TABLE users").is_err());
assert_eq!(quote_identifier("select"), Some("`select`".to_string()));

// SqlSanitizer::identifier returns a safe, splicable string
// (falls back to "" and warns when the identifier is unsafe)
let col = SqlSanitizer::identifier("user_name");
let query = format!("SELECT {} FROM users", col);   // safe

// 2. Escape string literals if you must inline values
let value = escape_string("O'Reilly");              // "O''Reilly"

// 3. Heuristically audit raw SQL for dangerous patterns
// (skips string literals & comments to reduce false positives)
assert!(contains_injection_pattern("1 OR 1=1; DROP TABLE users").is_some());
assert!(contains_injection_pattern("SELECT * FROM users WHERE id = ?").is_none());

Note: contains_injection_pattern is a heuristic audit tool for assisting review — it does not replace parameterized queries.

Query Builder

Query provides a fluent builder that can execute directly against a &Database, or inspect the generated SQL with return_sql().

use torm::{Database, Query};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let db = Database::sqlite("mydb.db").await?;
    db.execute(
        "CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT, age INTEGER)",
        &[],
    ).await?;

    // ---- Writes execute directly (INSERT / UPDATE / DELETE) ----
    // Values accept plain Rust types (i32 / f64 / &str / bool / String ...) —
    // no need to wrap them in SqlValue::*.
    let q = Query::new("users").where_eq("name", "Alice");

    let affected = q.update(
        &{ let mut m = std::collections::HashMap::new();
           m.insert("age".to_string(), 31); m },
        &db,
    ).await?;                                // executes UPDATE, returns affected rows

    // Inspect the SQL & params of the last operation
    let (sql, params) = q.return_sql();
    // sql: "UPDATE users SET age = ? WHERE name = ?"

    // Insert / delete execute the same way
    Query::new("users").insert(
        &[("name", "Bob"),
          ("age", 25)],
        &db,
    ).await?;
    Query::new("users").where_eq("age", 25).delete(&db).await?;

    // ---- Reads: QueryExecutor via query(db), or SqlStatement via build() ----
    let result = Query::new("users").query(&db).select().await?;  // executes SELECT
    let total = Query::new("users").query(&db).count().await?     // executes SELECT COUNT(*)
        .rows.first().and_then(|r| r.get("COUNT(*)")).and_then(|v| v.as_i64()).unwrap_or(0);

    // build().query() also works, and return_sql() inspects the SQL
    let result = Query::new("users").where_gt("age", 20).build()
        .query(&db).await?;                  // executes SELECT
    let (sql, _) = Query::new("users").count().return_sql();
    // sql: "SELECT COUNT(*) FROM users"

    Ok(())
}

All where_* / update / insert values accept plain Rust values (i32 / i64 / f32 / f64 / &str / String / bool / Vec<u8> / chrono::DateTime<Utc> and the unsigned variants) via Into<SqlValue> — you never need to write SqlValue::Type(...).

Query::query(db) returns a QueryExecutor for chaining read operations:

QueryExecutor::count() - executes SELECT COUNT(*), returning a result set with a COUNT(*) column
QueryExecutor::select() - executes SELECT *
QueryExecutor::models::<M>() - executes SELECT * and maps every row back into a typed Vec<M> via the Model trait (requires #[derive(Model)])

Query also returns a SqlStatement from build() / count() / build_update() / etc., which offers both execution and inspection:

SqlStatement::execute(&db) / SqlStatement::query(&db) - run the statement directly
SqlStatement::return_sql() - get the (sql, params) pair
Query::return_sql() - get the (sql, params) of the most recently built / executed operation

Note: SQLite and MySQL use ? placeholders; PostgreSQL uses $1/$2/.... The conversion happens automatically during execution.

Deriving a Model

Instead of hand-writing the Model impl, annotate your struct with #[derive(Model)] and a #[model(table_name = "...")] attribute. The macro generates columns(), from_row(), primary-key accessors, timestamp accessors, and the schema() for auto_migrate — all zero SqlValue. An integer primary key is marked auto-increment automatically (AUTOINCREMENT on SQLite, AUTO_INCREMENT on MySQL, SERIAL on PostgreSQL), so inserting a model with id: 0 assigns the id and writes it back.

use torm::{Model, Timestamps};
use chrono::{DateTime, Utc};

#[derive(Debug, Clone, Model)]
#[model(table_name = "users")]
pub struct User {
    pub id: i64,                                        // primary key -> id() / set_id()
    pub name: String,
    pub age: Option<i32>,
    #[model(column = "created_at")]
    pub created_at: Option<DateTime<Utc>>,              // standalone timestamp field
    pub timestamps: Timestamps,                          // or a Timestamps struct
    #[model(skip)]
    pub role_ids: Option<Vec<i64>>,                      // non-DB field, auto-skipped
}

Supported field types: String, bool, i8/i16/i32/i64, f32/f64, chrono::DateTime<Utc>, Uuid, Vec<u8> and their Option<...> wrappers. Other types are skipped automatically; use #[model(skip)] to exclude a field explicitly, and #[model(column = "...")] to rename a DB column.

GORM-style Indexes (`primaryKey` / `index` / `uniqueIndex`)

Like GORM, you can declare the primary key and indexes directly on the struct fields. The macro records them in Model::schema() so Database::auto_migrate() can create the table and its indexes automatically.

use torm::{Model, Timestamps};

#[derive(Debug, Clone, Model)]
#[model(table_name = "products", primary_key = "id")]
pub struct Product {
    #[model(primaryKey)]
    pub id: i64,                                    // primary key

    #[model(uniqueIndex = "idx_products_sku")]      // named unique index
    pub sku: String,

    #[model(index)]                                 // bare index -> idx_products_category
    pub category: String,

    #[model(index = "idx_products_name_category")]  // composite index: name + category2
    pub name: String,
    #[model(index = "idx_products_name_category")]
    pub category2: String,

    pub price: f64,
}

Supported field tags (inside #[model(...)]):

primaryKey — marks the field as the primary key.
index — creates a plain index. Without a name it defaults to idx_<table>_<column>. Fields sharing the same explicit index name form a composite index.
uniqueIndex — creates a unique index. On a single column it also implies a UNIQUE column constraint. Without a name it defaults to idx_<table>_<column>.

Then create the table and all indexes on startup (idempotent, uses IF NOT EXISTS):

let db = torm::Database::sqlite("app.db").await?;
db.auto_migrate::<Product>().await?;

Dapper-style Typed CRUD

Once a model is derived, insert / query / update / delete never touch SqlValue — values are plain Rust types and results come back as typed structs (Dapper-style Query<T>).

use torm::{Database, Model, Query};

#[derive(Debug, Clone, Model)]
#[model(table_name = "users")]
pub struct User {
    pub id: i64,        // 0 -> auto-assigned on create
    pub name: String,
    pub email: String,
    pub age: i32,
}

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let db = Database::sqlite("app.db").await?;
    db.auto_migrate::<User>().await?;

    // 1. Insert: id = 0 triggers auto-increment, then auto-refilled.
    let mut alice = User { id: 0, name: "Alice".into(), email: "a@e.com".into(), age: 25 };
    db.create(&mut alice).await?;
    println!("id = {}", alice.id); // 1

    // 2. Query: map every row back into Vec<User>.
    let adults: Vec<User> = Query::new("users")
        .where_gte("age", 18)
        .order_by_desc("age")
        .query(&db)
        .models::<User>()
        .await?;

    // 3. Update: executes SQL directly, returns affected rows.
    let affected = db.update(&mut alice, &[("age", 26)]).await?;

    // 4. Read by primary key / all rows, still typed.
    let one: Option<User> = db.first::<User>(&alice.id.to_string()).await?;
    let last: Option<User> = db.last::<User>().await?;
    let all: Vec<User> = db.all::<User>().await?;

    // 5. Delete by model.
    let n = db.delete(&mut alice).await?;
    Ok(())
}

Database::update(model, &[(column, value), ...]) executes the UPDATE immediately and returns the number of affected rows. Values are plain Rust types (i32/&str/... ) when all columns share a type; for mixed-type columns, pass them as SqlValue (e.g. &[("age", SqlValue::I32(30)), ("email", SqlValue::String("x".into()))]).

Connection Pool

use torm::Pool;

let config = torm::ConnectionConfig::sqlite("mydb.db")
    .with_max_connections(10);
let pool = Pool::sqlite("mydb.db", torm::PoolConfig::default()).await?;
let conn = pool.get_connection().await?;

MySQL Connection

use torm::{Database, SqlValue};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Connect to MySQL (native protocol, supports mysql_native_password / caching_sha2_password)
    let db = Database::mysql("localhost", 3306, "mydb", "odoo", "odoo").await?;

    // Parameterized query (COM_STMT_PREPARE / COM_STMT_EXECUTE binary protocol)
    db.execute(
        "INSERT INTO users (name, age) VALUES (?, ?)",
        &[SqlValue::String("Alice".to_string()), SqlValue::I32(30)],
    ).await?;

    let result = db.query("SELECT * FROM users WHERE age > ?", &[SqlValue::I32(18)]).await?;
    for row in &result.rows {
        println!("{:?}", row.get("name"));
    }

    db.close().await?;
    Ok(())
}

📊 Database Support Status

✅ SQLite (Production-ready, standard file format)

Built on rusqlite, generates standard SQLite files (sqlite3 compatible)
Full CRUD operations
Parameterized queries
Transaction support
Foreign key constraints
Status: Ready for production

✅ Pure Rust In-Memory Engine (StorageEngine)

Zero-dependency in-memory database
Custom binary persistence format (TORMDB01)
Full CRUD + WHERE conditions (AND/OR/comparison/LIKE)
Status: Usable as a lightweight in-memory database

✅ MySQL (Native wire protocol, production-ready)

Real TCP connection via tokio::net::TcpStream
Full initial handshake (Protocol 10) and handshake response
Authentication: mysql_native_password, caching_sha2_password (fast/full auth with RSA encryption), sha256_password
AuthSwitchRequest / AuthMoreData auth exchange flow
Text protocol (COM_QUERY) for parameterless queries
Binary protocol (COM_STMT_PREPARE / COM_STMT_EXECUTE) for parameterized queries
Column definition, text-row / binary-row decoding, OK/EOF/Error packets
Supports CLIENT_DEPRECATE_EOF (MySQL 5.7+) and classic EOF protocol
Transactions (BEGIN / COMMIT / ROLLBACK)
Status: Ready for production use with MySQL 5.7+

✅ PostgreSQL (Native wire protocol, production-ready)

Real TCP connection via tokio::net::TcpStream
Full startup handshake (StartupMessage, protocol 3.0)
Authentication: cleartext, MD5, SCRAM-SHA-256 (with server signature verification)
Simple query protocol (Q) for multi-statement SQL
Extended query protocol (Parse/Bind/Describe/Execute/Sync) for parameterized statements
Row decoding: bool, int2/4/8, float4/8, text/varchar, bytea, json/jsonb, date/timestamp/timestamptz, numeric
Transactions (BEGIN / COMMIT / ROLLBACK)
Status: Ready for production use with PostgreSQL 10+

🏃 Run Examples

All examples follow the same pattern: define a #[derive(Model)] struct first, then use the high-level ORM API — insert / query / update / delete never touch SqlValue.

# Dapper-style typed CRUD (define a struct, then create / first / last / all / update / delete)
cargo run --example dapper_style

# Async concurrency: struct + auto_migrate, parallel queries mapped back to Vec<Product>
cargo run --example async_concurrency

# Ergonomic Query builder: plain Rust values, no SqlValue::Type(...)
cargo run --example ergonomic_query

# Full integration: connection, auto-migrate, typed CRUD, count
cargo run --example integration_example

# Basic usage (uuid / error handling / cache / connection pool) + typed model
cargo run --example basic_usage

# Complete feature demo + file persistence via a derived model
cargo run --example complete_demo

# Advanced features (JOIN / GROUP BY / HAVING / aggregates)
cargo run --example advanced_features

# Run tests
cargo test

The PostgreSQL example (postgresql_example.rs) additionally shows the low-level raw SQL + SqlValue binding for parameterized queries, which is only needed when you bypass the ORM and write SQL by hand.

🔄 Database Migration Tools

TORM ships with six standalone CLI tools (under src/bin/) that migrate schema and data between databases using the TORM native protocol drivers. Each tool discovers the source tables, translates the schema to the target dialect, and streams data in batches inside per-batch transactions.

Tool	Direction
`mysql2postgresql`	MySQL → PostgreSQL
`postgresql2mysql`	PostgreSQL → MySQL
`sqlite2postgres`	SQLite → PostgreSQL
`postgres2sqlite`	PostgreSQL → SQLite
`mysql2sqlite`	MySQL → SQLite
`sqlite2mysql`	SQLite → MySQL

Build

cargo build --release

Usage

# MySQL → PostgreSQL
./target/release/mysql2postgresql \
  --mhost 127.0.0.1 --mport 3306 --mdb mydb --muser root --mpass pw \
  --phost 127.0.0.1 --pport 5432 --pdb mydb --puser postgres --ppass pw

# PostgreSQL → MySQL
./target/release/postgresql2mysql \
  --phost 127.0.0.1 --pport 5432 --pdb mydb --puser postgres --ppass pw \
  --mhost 127.0.0.1 --mport 3306 --mdb mydb --muser root --mpass pw

# SQLite → PostgreSQL (SQLite file is a positional argument)
./target/release/sqlite2postgres /path/to/data.db \
  --phost 127.0.0.1 --pport 5432 --pdb mydb --puser postgres --ppass pw

# PostgreSQL → SQLite
./target/release/postgres2sqlite /path/to/output.db \
  --phost 127.0.0.1 --pport 5432 --pdb mydb --puser postgres --ppass pw

Running any tool with no arguments prints its help.

Common Options

Option	Description
`--tables t1,t2`	Migrate only the specified tables (default: all)
`--batch N`	Rows per batch (default `1000`)
`--create-only`	Create schema only, skip data
`--data-only`	Migrate data only, skip schema

Behavioral Notes

Schema translation: MySQL/PostgreSQL types are mapped to the target dialect; auto-increment columns map to SERIAL/BIGSERIAL (PostgreSQL) or AUTO_INCREMENT (MySQL) / INTEGER PRIMARY KEY AUTOINCREMENT (SQLite). Composite UNIQUE constraints are preserved as table-level constraints.
Stable batching: reads are ORDER BY primary key so LIMIT/OFFSET pagination never duplicates or drops rows.
JSON & large text: json/jsonb/text/varchar map to LONGTEXT (MySQL) / TEXT (PostgreSQL / SQLite) to avoid truncation; columns used as keys downgrade to VARCHAR(255) where required.
Case sensitivity: MySQL target tables use the utf8mb4_bin collation so UNIQUE/primary-key semantics match PostgreSQL (case-sensitive), preventing false duplicates.
Default values: PostgreSQL function defaults such as timezone('utc', now()) are normalized to CURRENT_TIMESTAMP.

🛠 Tech Stack

External Dependencies

Async Runtime: Tokio 1.53+
SQLite Implementation: rusqlite 0.30 (bundled)
UUID Generation: uuid 1.0
Serialization: Serde 1.0
Time Handling: Chrono 0.4

Custom Implementations

Pure Rust Storage Engine: StorageEngine (zero-dependency in-memory database)
MySQL Protocol: MySqlConnection (native wire protocol)
PostgreSQL Protocol: PostgresConnection (native wire protocol)
Type System: SqlValue, Row, QueryResult
Connection Abstraction: DatabaseConnection trait
Transaction System: Transaction
Connection Pools: Pool / SimplePool
Utilities: SimpleUuid, SimpleLruCache, SimpleError, SqlSanitizer (SQL injection protection)

📚 Documentation

README.md - English README
README.zh.md - Chinese README
DATABASE_REPLACEMENT.md - Database layer replacement details
DEPENDENCY_OPTIMIZATION.md - Dependency optimization details
PROJECT_SUMMARY.md - Project summary

🎓 Learning Value

TORM demonstrates:

How to implement database protocols in Rust
Type-safe database abstraction design
Async I/O and network programming
MySQL and PostgreSQL protocol fundamentals
Production-grade SQLite implementation
Zero-dependency utility libraries (UUID, LRU cache, connection pool)

🎯 Use Cases

Production

✅ SQLite applications (mobile, desktop, lightweight web)
✅ Projects requiring standard SQLite file format (interoperable with other SQLite tools)
✅ MySQL applications (web services, enterprise apps, supports MySQL 5.7+)
✅ PostgreSQL applications (web services, enterprise apps, supports PostgreSQL 10+)
✅ Projects with strict dependency control

Learning & Development

✅ Database protocol learning
✅ Rust async programming
✅ ORM design patterns

📝 License

MIT

🤝 Contributing

Issues and Pull Requests are welcome!

torm-derive 0.3.0