Expand description
§Parvati SDK
Indeed, an ORM library, not a framework, written in Rust
§Features
The main idea that I put into my ORM library is a minimum of stupid code and easy use of the library. I wanted users not to have to write long chains of function calls to construct a simple SQL query.
- SQLite support
- MySQL support
§Usage
Cargo.toml
[dependencies]
parvati = {version = "1.0.0", features = ["sqlite"]} # or "mysql"
parvati_derive = "1.0.0"
#[tokio::test]
async fn test() -> Result<(), ORMError> {
let file = std::path::Path::new("file1.db");
if file.exists() {
std::fs::remove_file(file)?;
}
let _ = env_logger::Builder::from_env(env_logger::Env::new().default_filter_or("debug")).try_init();
let conn = ORM::connect("file1.db".to_string())?;
let init_script = "create_table_sqlite.sql";
conn.init(init_script).await?;
#[derive(TableDeserialize, TableSerialize, Serialize, Deserialize, Debug, Clone)]
#[table(name = "user")]
pub struct User {
pub id: i32,
pub name: Option<String>,
pub age: i32,
}
let mut user = User {
id: 0,
name: Some("John".to_string()),
age: 30,
};
let mut user_from_db: User = conn.add(user.clone()).apply().await?;
user.name = Some("Mary".to_string());
let _: User = conn.add(user.clone()).apply().await?;
let user_opt: Option<User> = conn.find_one(user_from_db.id as u64).run().await?;
log::debug!("User = {:?}", user_opt);
let user_all: Vec<User> = conn.find_all().run().await?;
log::debug!("Users = {:?}", user_all);
user_from_db.name = Some("Mike".to_string());
let _updated_rows: usize = conn.modify(user_from_db.clone()).run().await?;
let user_many: Vec<User> = conn.find_many("id > 0").limit(2).run().await?;
log::debug!("Users = {:?}", user_many);
let query = format!("select * from user where name like {}", conn.protect("M%"));
let result_set: Vec<Row> = conn.query(query.as_str()).exec().await?;
for row in result_set {
let id: i32 = row.get(0).unwrap();
let name: Option<String> = row.get(1);
log::debug!("User = id: {}, name: {:?}", id, name);
}
let updated_rows = conn.query_update("update user set age = 100").exec().await?;
log::debug!("updated_rows: {}", updated_rows);
let updated_rows: usize = conn.remove(user_from_db.clone()).run().await?;
log::debug!("updated_rows: {}", updated_rows);
conn.close().await?;
Ok(())
}
Modules§
- mysql
mysql
is a module that contains theORM
struct that represents an Object-Relational Mapping (ORM) for a MySQL database.- sqlite
sqlite
is a module that contains theORM
struct that represents an Object-Relational Mapping (ORM) for a SQLite database.
Structs§
- Query
Builder QueryBuilder
is a struct that represents a SQL query builder. It is used to construct SQL queries in a safe and convenient manner. TheQueryBuilder
struct is generic over the lifetime'a
, the result typeR
, the entity typeE
, and the ORM typeO
. The ORM typeO
must implement theORMTrait
.- Row
Row
is a struct that represents a row in a database table. It contains aHashMap
where the keys are column indices and the values are the column values.
Enums§
- ORMError
ORMError
is an enumeration of possible errors that can occur in the ORM library. Each variant represents a different kind of error.
Traits§
- ORMTrait
ORMTrait
is a trait that provides methods for interacting with a database. This trait is used to perform operations such as adding data, finding data, modifying data, and removing data. It also provides methods for executing arbitrary queries and escaping strings.- Table
Deserialize TableDeserialize
is a trait that provides methods for deserializing table data. This trait is used to convert data from a stored or transmitted format into table data.- Table
Serialize TableSerialize
is a trait that provides methods for serializing table data. This trait is used to convert table data into a format that can be stored or transmitted.