#sqlx #core #sql #async #mssql #checked

sqlx-core

Core of SQLx, the rust SQL toolkit. Not intended to be used directly.

22 releases

0.4.0 Nov 12, 2020
0.4.0-beta.1 Jul 27, 2020
0.3.5 May 6, 2020
0.3.2 Mar 31, 2020
0.0.0 Nov 27, 2019

#19 in Database implementations

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31,683 downloads per month
Used in 53 crates (5 directly)

MIT/Apache

1MB
25K SLoC

SQLx

🧰 The Rust SQL Toolkit


Built with ❤️ by The LaunchBadge team

SQLx is an async, pure Rust SQL crate featuring compile-time checked queries without a DSL.

  • Truly Asynchronous. Built from the ground-up using async/await for maximum concurrency.

  • Type-safe SQL (if you want it) without DSLs. Use the query!() macro to check your SQL and bind parameters at compile time. (You can still use dynamic SQL queries if you like.)

  • Database Agnostic. Support for PostgreSQL, MySQL, and SQLite.

  • Pure Rust. The Postgres and MySQL/MariaDB drivers are written in pure Rust using zero unsafe†† code.

  • Runtime Agnostic. Works on async-std or tokio with the runtime-async-std or runtime-tokio cargo feature flag.

† The SQLite driver uses the libsqlite3 C library as SQLite is an embedded database (the only way we could be pure Rust for SQLite is by porting all of SQLite to Rust).

†† SQLx uses #![forbid(unsafe_code)] unless the sqlite feature is enabled. As the SQLite driver interacts with C, those interactions are unsafe.


  • Cross-platform. Being native Rust, SQLx will compile anywhere Rust is supported.

  • Built-in connection pooling with sqlx::Pool.

  • Row streaming. Data is read asynchronously from the database and decoded on-demand.

  • Automatic statement preparation and caching. When using the high-level query API (sqlx::query), statements are prepared and cached per-connection.

  • Simple (unprepared) query execution including fetching results into the same Row types used by the high-level API. Supports batch execution and returning results from all statements.

  • Transport Layer Security (TLS) where supported (MySQL and PostgreSQL).

  • Asynchronous notifications using LISTEN and NOTIFY for PostgreSQL.

  • Nested transactions with support for save points.

Install

SQLx is compatible with the async-std and tokio runtimes.

async-std

# Cargo.toml
[dependencies]
sqlx = "0.3"

tokio

# Cargo.toml
[dependencies]
sqlx = { version = "0.3", default-features = false, features = [ "runtime-tokio", "macros" ] }

Cargo Feature Flags

  • runtime-async-std (on by default): Use the async-std runtime.

  • runtime-tokio: Use the tokio runtime. Mutually exclusive with the runtime-async-std feature.

  • postgres: Add support for the Postgres database server.

  • mysql: Add support for the MySQL (and MariaDB) database server.

  • sqlite: Add support for the self-contained SQLite database engine.

  • uuid: Add support for UUID (in Postgres).

  • chrono: Add support for date and time types from chrono.

  • time: Add support for date and time types from time crate (alternative to chrono, prefered by query! macro, if both enabled)

  • bigdecimal: Add support for NUMERIC using the bigdecimal crate.

  • ipnetwork: Add support for INET and CIDR (in postgres) using the ipnetwork crate.

  • json: Add support for JSON and JSONB (in postgres) using the serde_json crate.

  • tls: Add support for TLS connections.

Usage

Quickstart

use std::env;

use sqlx::postgres::PgPool;
// use sqlx::mysql::MySqlPool;
// etc.

#[async_std::main] // or #[tokio::main]
async fn main() -> Result<(), sqlx::Error> {
    // Create a connection pool
    let pool = PgPoolOptions::new()
        .max_connections(5)
        .connect(&env::var("DATABASE_URL")?).await?;

    // Make a simple query to return the given parameter
    let row: (i64,) = sqlx::query_as("SELECT $1")
        .bind(150_i64)
        .fetch_one(&pool).await?;

    assert_eq!(row.0, 150);

    Ok(())
}

Connecting

A single connection can be established using any of the database connection types and calling connect().

use sqlx::Connect;

let conn = SqliteConnection::connect("sqlite::memory:").await?;

Generally, you will want to instead create a connection pool (sqlx::Pool) in order for your application to regulate how many server-side connections it's using.

let pool = MySqlPool::new("mysql://user:pass@host/database").await?;

Querying

In SQL, queries can be separated into prepared (parameterized) or unprepared (simple). Prepared queries have their query plan cached, use a binary mode of communication (lower bandwidth and faster decoding), and utilize parameters to avoid SQL injection. Unprepared queries are simple and intended only for use case where a prepared statement will not work, such as various database commands (e.g., PRAGMA or SET or BEGIN).

SQLx supports all operations with both types of queries. In SQLx, a &str is treated as an unprepared query and a Query or QueryAs struct is treated as a prepared query.

// low-level, Executor trait
conn.execute("BEGIN").await?; // unprepared, simple query
conn.execute(sqlx::query("DELETE FROM table")).await?; // prepared, cached query

We should prefer to use the high level, query interface whenever possible. To make this easier, there are finalizers on the type to avoid the need to wrap with an executor.

sqlx::query("DELETE FROM table").execute(&mut conn).await?;
sqlx::query("DELETE FROM table").execute(&pool).await?;

The execute query finalizer returns the number of affected rows, if any, and drops all received results. In addition, there are fetch, fetch_one, fetch_optional, fetch_all, and fetch_scalar to receive results.

The Query type returned from sqlx::query will return Row<'conn> from the database. Column values can be accessed by ordinal or by name with row.get(). As the Row retains an immutable borrow on the connection, only one Row may exist at a time.

The fetch query finalizer returns a stream-like type that iterates through the rows in the result sets.

let mut cursor = sqlx::query("SELECT * FROM users WHERE email = ?")
    .bind(email)
    .fetch(&mut conn);

while let Some(row) = cursor.next().await? {
    // map the row into a user-defined domain type
}

To assist with mapping the row into a domain type, there are two idioms that may be used:

let mut stream = sqlx::query("SELECT * FROM users")
    .map(|row: PgRow| {
        // map the row into a user-defined domain type
    })
    .fetch(&mut conn);
#[derive(sqlx::FromRow)]
struct User { name: String, id: i64 }

let mut stream = sqlx::query_as::<_, User>("SELECT * FROM users WHERE email = ? OR name = ?")
    .bind(user_email)
    .bind(user_name)
    .fetch(&mut conn);

Instead of a stream of results, we can use fetch_one or fetch_optional to request one required or optional result from the database.

Compile-time verification

We can use the macro, sqlx::query! to achieve compile-time syntactic and semantic verification of the SQL, with an output to an anonymous record type where each SQL column is a Rust field (using raw identifiers where needed).

let countries = sqlx::query!(
        "
SELECT country, COUNT(*) as count
FROM users
GROUP BY country
WHERE organization = ?
        ",
        organization
    )
    .fetch_all(&pool) // -> Vec<{ country: String, count: i64 }>
    .await?;

// countries[0].country
// countries[0].count

Differences from query():

  • The input (or bind) parameters must be given all at once (and they are compile-time validated to be the right number and the right type).

  • The output type is an anonymous record. In the above example the type would be similar to:

    { country: String, count: i64 }
    
  • The DATABASE_URL environment variable must be set at build time to a database which it can prepare queries against; the database does not have to contain any data but must be the same kind (MySQL, Postgres, etc.) and have the same schema as the database you will be connecting to at runtime.

    For convenience, you can use a .env file to set DATABASE_URL so that you don't have to pass it every time:

    DATABASE_URL=mysql://localhost/my_database
    

The biggest downside to query!() is that the output type cannot be named (due to Rust not officially supporting anonymous records). To address that, there is a query_as!() macro that is identical except that you can name the output type.

// no traits are needed
struct Country { country: String, count: i64 }

let countries = sqlx::query_as!(Country,
        "
SELECT country, COUNT(*) as count
FROM users
GROUP BY country
WHERE organization = ?
        ",
        organization
    )
    .fetch_all() // -> Vec<Country>
    .await?;

// countries[0].country
// countries[0].count

Safety

This crate uses #![forbid(unsafe_code)] to ensure everything is implemented in 100% Safe Rust.

If the sqlite feature is enabled, this is downgraded to #![deny(unsafe_code)] with #![allow(unsafe_code)] on the sqlx::sqlite module. There are several places where we interact with the C SQLite API. We try to document each call for the invariants we're assuming. We absolutely welcome auditing of, and feedback on, our unsafe code usage.

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

Dependencies

~7–15MB
~351K SLoC