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//! Provides the connection pool for asynchronous SQLx connections.
//!
//! Opening a database connection for each and every operation to the database can quickly
//! become expensive. Furthermore, sharing a database connection between threads and functions
//! can be difficult to express in Rust.
//!
//! A connection pool is a standard technique that can manage opening and re-using connections.
//! Normally it also enforces a maximum number of connections as these are an expensive resource
//! on the database server.
//!
//! SQLx provides a canonical connection pool implementation intended to satisfy the majority
//! of use cases.
//!
//! See [Pool][crate::pool::Pool] for details.
//!
//! Type aliases are provided for each database to make it easier to sprinkle `Pool` through
//! your codebase:
//!
//! * [MssqlPool][crate::mssql::MssqlPool] (MSSQL)
//! * [MySqlPool][crate::mysql::MySqlPool] (MySQL)
//! * [PgPool][crate::postgres::PgPool] (PostgreSQL)
//! * [SqlitePool][crate::sqlite::SqlitePool] (SQLite)
//!
//! # Opening a connection pool
//!
//! A new connection pool with a default configuration can be created by supplying `Pool`
//! with the database driver and a connection string.
//!
//! ```rust,ignore
//! use sqlx::Pool;
//! use sqlx::postgres::Postgres;
//!
//! let pool = Pool::<Postgres>::connect("postgres://").await?;
//! ```
//!
//! For convenience, database-specific type aliases are provided:
//!
//! ```rust,ignore
//! use sqlx::mssql::MssqlPool;
//!
//! let pool = MssqlPool::connect("mssql://").await?;
//! ```
//!
//! # Using a connection pool
//!
//! A connection pool implements [`Executor`][crate::executor::Executor] and can be used directly
//! when executing a query. Notice that only an immutable reference (`&Pool`) is needed.
//!
//! ```rust,ignore
//! sqlx::query("DELETE FROM articles").execute(&pool).await?;
//! ```
//!
//! A connection or transaction may also be manually acquired with
//! [`Pool::acquire`] or
//! [`Pool::begin`].
use self::inner::PoolInner;
#[cfg(all(
any(
feature = "postgres",
feature = "mysql",
feature = "mssql",
feature = "sqlite"
),
feature = "any"
))]
use crate::any::{Any, AnyKind};
use crate::connection::Connection;
use crate::database::Database;
use crate::error::Error;
use crate::transaction::Transaction;
use event_listener::EventListener;
use futures_core::FusedFuture;
use futures_util::FutureExt;
use std::fmt;
use std::future::Future;
use std::pin::Pin;
use std::sync::Arc;
use std::task::{Context, Poll};
use std::time::{Duration, Instant};
#[macro_use]
mod executor;
#[macro_use]
mod maybe;
mod connection;
mod inner;
mod options;
pub use self::connection::PoolConnection;
pub(crate) use self::maybe::MaybePoolConnection;
pub use self::options::{PoolConnectionMetadata, PoolOptions};
/// An asynchronous pool of SQLx database connections.
///
/// Create a pool with [Pool::connect] or [Pool::connect_with] and then call [Pool::acquire]
/// to get a connection from the pool; when the connection is dropped it will return to the pool
/// so it can be reused.
///
/// You can also pass `&Pool` directly anywhere an `Executor` is required; this will automatically
/// checkout a connection for you.
///
/// See [the module documentation](crate::pool) for examples.
///
/// The pool has a maximum connection limit that it will not exceed; if `acquire()` is called
/// when at this limit and all connections are checked out, the task will be made to wait until
/// a connection becomes available.
///
/// You can configure the connection limit, and other parameters, using [PoolOptions][crate::pool::PoolOptions].
///
/// Calls to `acquire()` are fair, i.e. fulfilled on a first-come, first-serve basis.
///
/// `Pool` is `Send`, `Sync` and `Clone`. It is intended to be created once at the start of your
/// application/daemon/web server/etc. and then shared with all tasks throughout the process'
/// lifetime. How best to accomplish this depends on your program architecture.
///
/// In Actix-Web, for example, you can share a single pool with all request handlers using [web::Data].
///
/// Cloning `Pool` is cheap as it is simply a reference-counted handle to the inner pool state.
/// When the last remaining handle to the pool is dropped, the connections owned by the pool are
/// immediately closed (also by dropping). `PoolConnection` returned by [Pool::acquire] and
/// `Transaction` returned by [Pool::begin] both implicitly hold a reference to the pool for
/// their lifetimes.
///
/// If you prefer to explicitly shutdown the pool and gracefully close its connections (which
/// depending on the database type, may include sending a message to the database server that the
/// connection is being closed), you can call [Pool::close] which causes all waiting and subsequent
/// calls to [Pool::acquire] to return [Error::PoolClosed], and waits until all connections have
/// been returned to the pool and gracefully closed.
///
/// Type aliases are provided for each database to make it easier to sprinkle `Pool` through
/// your codebase:
///
/// * [MssqlPool][crate::mssql::MssqlPool] (MSSQL)
/// * [MySqlPool][crate::mysql::MySqlPool] (MySQL)
/// * [PgPool][crate::postgres::PgPool] (PostgreSQL)
/// * [SqlitePool][crate::sqlite::SqlitePool] (SQLite)
///
/// [web::Data]: https://docs.rs/actix-web/3/actix_web/web/struct.Data.html
///
/// ### Why Use a Pool?
///
/// A single database connection (in general) cannot be used by multiple threads simultaneously
/// for various reasons, but an application or web server will typically need to execute numerous
/// queries or commands concurrently (think of concurrent requests against a web server; many or all
/// of them will probably need to hit the database).
///
/// You could place the connection in a `Mutex` but this will make it a huge bottleneck.
///
/// Naively, you might also think to just open a new connection per request, but this
/// has a number of other caveats, generally due to the high overhead involved in working with
/// a fresh connection. Examples to follow.
///
/// Connection pools facilitate reuse of connections to _amortize_ these costs, helping to ensure
/// that you're not paying for them each time you need a connection.
///
/// ##### 1. Overhead of Opening a Connection
/// Opening a database connection is not exactly a cheap operation.
///
/// For SQLite, it means numerous requests to the filesystem and memory allocations, while for
/// server-based databases it involves performing DNS resolution, opening a new TCP connection and
/// allocating buffers.
///
/// Each connection involves a nontrivial allocation of resources for the database server, usually
/// including spawning a new thread or process specifically to handle the connection, both for
/// concurrency and isolation of faults.
///
/// Additionally, database connections typically involve a complex handshake including
/// authentication, negotiation regarding connection parameters (default character sets, timezones,
/// locales, supported features) and upgrades to encrypted tunnels.
///
/// If `acquire()` is called on a pool with all connections checked out but it is not yet at its
/// connection limit (see next section), then a new connection is immediately opened, so this pool
/// does not _automatically_ save you from the overhead of creating a new connection.
///
/// However, because this pool by design enforces _reuse_ of connections, this overhead cost
/// is not paid each and every time you need a connection. In fact, if you set
/// [the `min_connections` option in PoolOptions][PoolOptions::min_connections], the pool will
/// create that many connections up-front so that they are ready to go when a request comes in,
/// and maintain that number on a best-effort basis for consistent performance.
///
/// ##### 2. Connection Limits (MySQL, MSSQL, Postgres)
/// Database servers usually place hard limits on the number of connections that are allowed open at
/// any given time, to maintain performance targets and prevent excessive allocation of resources,
/// such as RAM, journal files, disk caches, etc.
///
/// These limits have different defaults per database flavor, and may vary between different
/// distributions of the same database, but are typically configurable on server start;
/// if you're paying for managed database hosting then the connection limit will typically vary with
/// your pricing tier.
///
/// In MySQL, the default limit is typically 150, plus 1 which is reserved for a user with the
/// `CONNECTION_ADMIN` privilege so you can still access the server to diagnose problems even
/// with all connections being used.
///
/// In MSSQL the only documentation for the default maximum limit is that it depends on the version
/// and server configuration.
///
/// In Postgres, the default limit is typically 100, minus 3 which are reserved for superusers
/// (putting the default limit for unprivileged users at 97 connections).
///
/// In any case, exceeding these limits results in an error when opening a new connection, which
/// in a web server context will turn into a `500 Internal Server Error` if not handled, but should
/// be turned into either `403 Forbidden` or `429 Too Many Requests` depending on your rate-limiting
/// scheme. However, in a web context, telling a client "go away, maybe try again later" results in
/// a sub-optimal user experience.
///
/// Instead with a connection pool, clients are made to wait in a fair queue for a connection to
/// become available; by using a single connection pool for your whole application, you can ensure
/// that you don't exceed the connection limit of your database server while allowing response
/// time to degrade gracefully at high load.
///
/// Of course, if multiple applications are connecting to the same database server, then you
/// should ensure that the connection limits for all applications add up to your server's maximum
/// connections or less.
///
/// ##### 3. Resource Reuse
/// The first time you execute a query against your database, the database engine must first turn
/// the SQL into an actionable _query plan_ which it may then execute against the database. This
/// involves parsing the SQL query, validating and analyzing it, and in the case of Postgres 12+ and
/// SQLite, generating code to execute the query plan (native or bytecode, respectively).
///
/// These database servers provide a way to amortize this overhead by _preparing_ the query,
/// associating it with an object ID and placing its query plan in a cache to be referenced when
/// it is later executed.
///
/// Prepared statements have other features, like bind parameters, which make them safer and more
/// ergonomic to use as well. By design, SQLx pushes you towards using prepared queries/statements
/// via the [Query][crate::query::Query] API _et al._ and the `query!()` macro _et al._, for
/// reasons of safety, ergonomics, and efficiency.
///
/// However, because database connections are typically isolated from each other in the database
/// server (either by threads or separate processes entirely), they don't typically share prepared
/// statements between connections so this work must be redone _for each connection_.
///
/// As with section 1, by facilitating reuse of connections, `Pool` helps to ensure their prepared
/// statements (and thus cached query plans) can be reused as much as possible, thus amortizing
/// the overhead involved.
///
/// Depending on the database server, a connection will have caches for all kinds of other data as
/// well and queries will generally benefit from these caches being "warm" (populated with data).
pub struct Pool<DB: Database>(pub(crate) Arc<PoolInner<DB>>);
/// A future that resolves when the pool is closed.
///
/// See [`Pool::close_event()`] for details.
pub struct CloseEvent {
listener: Option<EventListener>,
}
impl<DB: Database> Pool<DB> {
/// Create a new connection pool with a default pool configuration and
/// the given connection URL, and immediately establish one connection.
///
/// Refer to the relevant `ConnectOptions` impl for your database for the expected URL format:
///
/// * Postgres: [`PgConnectOptions`][crate::postgres::PgConnectOptions]
/// * MySQL: [`MySqlConnectOptions`][crate::mysql::MySqlConnectOptions]
/// * SQLite: [`SqliteConnectOptions`][crate::sqlite::SqliteConnectOptions]
/// * MSSQL: [`MssqlConnectOptions`][crate::mssql::MssqlConnectOptions]
///
/// The default configuration is mainly suited for testing and light-duty applications.
/// For production applications, you'll likely want to make at least few tweaks.
///
/// See [`PoolOptions::new()`] for details.
pub async fn connect(url: &str) -> Result<Self, Error> {
PoolOptions::<DB>::new().connect(url).await
}
/// Create a new connection pool with a default pool configuration and
/// the given `ConnectOptions`, and immediately establish one connection.
///
/// The default configuration is mainly suited for testing and light-duty applications.
/// For production applications, you'll likely want to make at least few tweaks.
///
/// See [`PoolOptions::new()`] for details.
pub async fn connect_with(
options: <DB::Connection as Connection>::Options,
) -> Result<Self, Error> {
PoolOptions::<DB>::new().connect_with(options).await
}
/// Create a new connection pool with a default pool configuration and
/// the given connection URL.
///
/// The pool will establish connections only as needed.
///
/// Refer to the relevant [`ConnectOptions`] impl for your database for the expected URL format:
///
/// * Postgres: [`PgConnectOptions`][crate::postgres::PgConnectOptions]
/// * MySQL: [`MySqlConnectOptions`][crate::mysql::MySqlConnectOptions]
/// * SQLite: [`SqliteConnectOptions`][crate::sqlite::SqliteConnectOptions]
/// * MSSQL: [`MssqlConnectOptions`][crate::mssql::MssqlConnectOptions]
///
/// The default configuration is mainly suited for testing and light-duty applications.
/// For production applications, you'll likely want to make at least few tweaks.
///
/// See [`PoolOptions::new()`] for details.
pub fn connect_lazy(url: &str) -> Result<Self, Error> {
PoolOptions::<DB>::new().connect_lazy(url)
}
/// Create a new connection pool with a default pool configuration and
/// the given `ConnectOptions`.
///
/// The pool will establish connections only as needed.
///
/// The default configuration is mainly suited for testing and light-duty applications.
/// For production applications, you'll likely want to make at least few tweaks.
///
/// See [`PoolOptions::new()`] for details.
pub fn connect_lazy_with(options: <DB::Connection as Connection>::Options) -> Self {
PoolOptions::<DB>::new().connect_lazy_with(options)
}
/// Retrieves a connection from the pool.
///
/// The total time this method is allowed to execute is capped by
/// [`PoolOptions::acquire_timeout`].
/// If that timeout elapses, this will return [`Error::PoolClosed`].
///
/// ### Note: Cancellation/Timeout May Drop Connections
/// If `acquire` is cancelled or times out after it acquires a connection from the idle queue or
/// opens a new one, it will drop that connection because we don't want to assume it
/// is safe to return to the pool, and testing it to see if it's safe to release could introduce
/// subtle bugs if not implemented correctly. To avoid that entirely, we've decided to not
/// gracefully handle cancellation here.
///
/// However, if your workload is sensitive to dropped connections such as using an in-memory
/// SQLite database with a pool size of 1, you can pretty easily ensure that a cancelled
/// `acquire()` call will never drop connections by tweaking your [`PoolOptions`]:
///
/// * Set [`test_before_acquire(false)`][PoolOptions::test_before_acquire]
/// * Never set [`before_acquire`][PoolOptions::before_acquire] or
/// [`after_connect`][PoolOptions::after_connect].
///
/// This should eliminate any potential `.await` points between acquiring a connection and
/// returning it.
pub fn acquire(&self) -> impl Future<Output = Result<PoolConnection<DB>, Error>> + 'static {
let shared = self.0.clone();
async move { shared.acquire().await.map(|conn| conn.reattach()) }
}
/// Attempts to retrieve a connection from the pool if there is one available.
///
/// Returns `None` immediately if there are no idle connections available in the pool
/// or there are tasks waiting for a connection which have yet to wake.
pub fn try_acquire(&self) -> Option<PoolConnection<DB>> {
self.0.try_acquire().map(|conn| conn.into_live().reattach())
}
/// Retrieves a connection and immediately begins a new transaction.
pub async fn begin(&self) -> Result<Transaction<'static, DB>, Error> {
Ok(Transaction::begin(MaybePoolConnection::PoolConnection(self.acquire().await?)).await?)
}
/// Attempts to retrieve a connection and immediately begins a new transaction if successful.
pub async fn try_begin(&self) -> Result<Option<Transaction<'static, DB>>, Error> {
match self.try_acquire() {
Some(conn) => Transaction::begin(MaybePoolConnection::PoolConnection(conn))
.await
.map(Some),
None => Ok(None),
}
}
/// Shut down the connection pool, immediately waking all tasks waiting for a connection.
///
/// Upon calling this method, any currently waiting or subsequent calls to [`Pool::acquire`] and
/// the like will immediately return [`Error::PoolClosed`] and no new connections will be opened.
/// Checked-out connections are unaffected, but will be gracefully closed on-drop
/// rather than being returned to the pool.
///
/// Returns a `Future` which can be `.await`ed to ensure all connections are
/// gracefully closed. It will first close any idle connections currently waiting in the pool,
/// then wait for all checked-out connections to be returned or closed.
///
/// Waiting for connections to be gracefully closed is optional, but will allow the database
/// server to clean up the resources sooner rather than later. This is especially important
/// for tests that create a new pool every time, otherwise you may see errors about connection
/// limits being exhausted even when running tests in a single thread.
///
/// If the returned `Future` is not run to completion, any remaining connections will be dropped
/// when the last handle for the given pool instance is dropped, which could happen in a task
/// spawned by `Pool` internally and so may be unpredictable otherwise.
///
/// `.close()` may be safely called and `.await`ed on multiple handles concurrently.
pub fn close(&self) -> impl Future<Output = ()> + '_ {
self.0.close()
}
/// Returns `true` if [`.close()`][Pool::close] has been called on the pool, `false` otherwise.
pub fn is_closed(&self) -> bool {
self.0.is_closed()
}
/// Get a future that resolves when [`Pool::close()`] is called.
///
/// If the pool is already closed, the future resolves immediately.
///
/// This can be used to cancel long-running operations that hold onto a [`PoolConnection`]
/// so they don't prevent the pool from closing (which would otherwise wait until all
/// connections are returned).
///
/// Examples
/// ========
/// These examples use Postgres and Tokio, but should suffice to demonstrate the concept.
///
/// Do something when the pool is closed:
/// ```rust,no_run
/// # #[cfg(feature = "postgres")]
/// # async fn bleh() -> sqlx_core::error::Result<()> {
/// use sqlx::PgPool;
///
/// let pool = PgPool::connect("postgresql://...").await?;
///
/// let pool2 = pool.clone();
///
/// tokio::spawn(async move {
/// // Demonstrates that `CloseEvent` is itself a `Future` you can wait on.
/// // This lets you implement any kind of on-close event that you like.
/// pool2.close_event().await;
///
/// println!("Pool is closing!");
///
/// // Imagine maybe recording application statistics or logging a report, etc.
/// });
///
/// // The rest of the application executes normally...
///
/// // Close the pool before the application exits...
/// pool.close().await;
///
/// # Ok(())
/// # }
/// ```
///
/// Cancel a long-running operation:
/// ```rust,no_run
/// # #[cfg(feature = "postgres")]
/// # async fn bleh() -> sqlx_core::error::Result<()> {
/// use sqlx::{Executor, PgPool};
///
/// let pool = PgPool::connect("postgresql://...").await?;
///
/// let pool2 = pool.clone();
///
/// tokio::spawn(async move {
/// pool2.close_event().do_until(async {
/// // This statement normally won't return for 30 days!
/// // (Assuming the connection doesn't time out first, of course.)
/// pool2.execute("SELECT pg_sleep('30 days')").await;
///
/// // If the pool is closed before the statement completes, this won't be printed.
/// // This is because `.do_until()` cancels the future it's given if the
/// // pool is closed first.
/// println!("Waited!");
/// }).await;
/// });
///
/// // This normally wouldn't return until the above statement completed and the connection
/// // was returned to the pool. However, thanks to `.do_until()`, the operation was
/// // cancelled as soon as we called `.close().await`.
/// pool.close().await;
///
/// # Ok(())
/// # }
/// ```
pub fn close_event(&self) -> CloseEvent {
self.0.close_event()
}
/// Returns the number of connections currently active. This includes idle connections.
pub fn size(&self) -> u32 {
self.0.size()
}
/// Returns the number of connections active and idle (not in use).
///
/// As of 0.6.0, this has been fixed to use a separate atomic counter and so should be fine to
/// call even at high load.
///
/// This previously called [`crossbeam::queue::ArrayQueue::len()`] which waits for the head and
/// tail pointers to be in a consistent state, which may never happen at high levels of churn.
pub fn num_idle(&self) -> usize {
self.0.num_idle()
}
/// Get the connection options for this pool
pub fn connect_options(&self) -> &<DB::Connection as Connection>::Options {
&self.0.connect_options
}
/// Get the options for this pool
pub fn options(&self) -> &PoolOptions<DB> {
&self.0.options
}
}
#[cfg(all(
any(
feature = "postgres",
feature = "mysql",
feature = "mssql",
feature = "sqlite"
),
feature = "any"
))]
impl Pool<Any> {
/// Returns the database driver currently in-use by this `Pool`.
///
/// Determined by the connection URL.
pub fn any_kind(&self) -> AnyKind {
self.0.connect_options.kind()
}
}
/// Returns a new [Pool] tied to the same shared connection pool.
impl<DB: Database> Clone for Pool<DB> {
fn clone(&self) -> Self {
Self(Arc::clone(&self.0))
}
}
impl<DB: Database> fmt::Debug for Pool<DB> {
fn fmt(&self, fmt: &mut fmt::Formatter<'_>) -> fmt::Result {
fmt.debug_struct("Pool")
.field("size", &self.0.size())
.field("num_idle", &self.0.num_idle())
.field("is_closed", &self.0.is_closed())
.field("options", &self.0.options)
.finish()
}
}
impl CloseEvent {
/// Execute the given future until it returns or the pool is closed.
///
/// Cancels the future and returns `Err(PoolClosed)` if/when the pool is closed.
/// If the pool was already closed, the future is never run.
pub async fn do_until<Fut: Future>(&mut self, fut: Fut) -> Result<Fut::Output, Error> {
// Check that the pool wasn't closed already.
//
// We use `poll_immediate()` as it will use the correct waker instead of
// a no-op one like `.now_or_never()`, but it won't actually suspend execution here.
futures_util::future::poll_immediate(&mut *self)
.await
.map_or(Ok(()), |_| Err(Error::PoolClosed))?;
futures_util::pin_mut!(fut);
// I find that this is clearer in intent than `futures_util::future::select()`
// or `futures_util::select_biased!{}` (which isn't enabled anyway).
futures_util::future::poll_fn(|cx| {
// Poll `fut` first as the wakeup event is more likely for it than `self`.
if let Poll::Ready(ret) = fut.as_mut().poll(cx) {
return Poll::Ready(Ok(ret));
}
// Can't really factor out mapping to `Err(Error::PoolClosed)` though it seems like
// we should because that results in a different `Ok` type each time.
//
// Ideally we'd map to something like `Result<!, Error>` but using `!` as a type
// is not allowed on stable Rust yet.
self.poll_unpin(cx).map(|_| Err(Error::PoolClosed))
})
.await
}
}
impl Future for CloseEvent {
type Output = ();
fn poll(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
if let Some(listener) = &mut self.listener {
futures_core::ready!(listener.poll_unpin(cx));
}
// `EventListener` doesn't like being polled after it yields, and even if it did it
// would probably just wait for the next event, neither of which we want.
//
// So this way, once we get our close event, we fuse this future to immediately return.
self.listener = None;
Poll::Ready(())
}
}
impl FusedFuture for CloseEvent {
fn is_terminated(&self) -> bool {
self.listener.is_none()
}
}
/// get the time between the deadline and now and use that as our timeout
///
/// returns `Error::PoolTimedOut` if the deadline is in the past
fn deadline_as_timeout<DB: Database>(deadline: Instant) -> Result<Duration, Error> {
deadline
.checked_duration_since(Instant::now())
.ok_or(Error::PoolTimedOut)
}
#[test]
#[allow(dead_code)]
fn assert_pool_traits() {
fn assert_send_sync<T: Send + Sync>() {}
fn assert_clone<T: Clone>() {}
fn assert_pool<DB: Database>() {
assert_send_sync::<Pool<DB>>();
assert_clone::<Pool<DB>>();
}
}