sqlx/sqlx-core/src/query_scalar.rs
Max Bruckner c57b46ceb6
Make Encode return a result (#3126)
* Make encode and encode_by_ref fallible

This only changes the trait for now and makes it compile, calling .expect() on all users. Those will be removed in a later commit.

* PgNumeric: Turn TryFrom Decimal to an infallible From

* Turn panics in Encode implementations into errors

* Add Encode error analogous to the Decode error

* Propagate decode errors through Arguments::add

This pushes the panics one level further to mostly bind calls. Those will also be removed later.

* Only check argument encoding at the end

* Use Result in Query internally

* Implement query_with functions in terms of _with_result

* Surface encode errors when executing a query.

* Remove remaining panics in AnyConnectionBackend implementations

* PostgreSQL BigDecimal: Return encode error immediately

* Arguments: Add len method to report how many arguments were added

* Query::bind: Report which argument failed to encode

* IsNull: Add is_null method

* MySqlArguments: Replace manual bitmap code with NullBitMap helper type

* Roll back buffer in MySqlArguments if encoding fails

* Roll back buffer in SqliteArguments if encoding fails

* Roll back PgArgumentBuffer if encoding fails
2024-05-31 12:42:36 -07:00

392 lines
13 KiB
Rust

use either::Either;
use futures_core::stream::BoxStream;
use futures_util::{StreamExt, TryFutureExt, TryStreamExt};
use crate::arguments::IntoArguments;
use crate::database::{Database, HasStatementCache};
use crate::encode::Encode;
use crate::error::{BoxDynError, Error};
use crate::executor::{Execute, Executor};
use crate::from_row::FromRow;
use crate::query_as::{
query_as, query_as_with_result, query_statement_as, query_statement_as_with, QueryAs,
};
use crate::types::Type;
/// A single SQL query as a prepared statement which extracts only the first column of each row.
/// Returned by [`query_scalar()`].
#[must_use = "query must be executed to affect database"]
pub struct QueryScalar<'q, DB: Database, O, A> {
pub(crate) inner: QueryAs<'q, DB, (O,), A>,
}
impl<'q, DB: Database, O: Send, A: Send> Execute<'q, DB> for QueryScalar<'q, DB, O, A>
where
A: 'q + IntoArguments<'q, DB>,
{
#[inline]
fn sql(&self) -> &'q str {
self.inner.sql()
}
fn statement(&self) -> Option<&DB::Statement<'q>> {
self.inner.statement()
}
#[inline]
fn take_arguments(&mut self) -> Result<Option<<DB as Database>::Arguments<'q>>, BoxDynError> {
self.inner.take_arguments()
}
#[inline]
fn persistent(&self) -> bool {
Execute::persistent(&self.inner)
}
}
impl<'q, DB: Database, O> QueryScalar<'q, DB, O, <DB as Database>::Arguments<'q>> {
/// Bind a value for use with this SQL query.
///
/// See [`Query::bind`](crate::query::Query::bind).
pub fn bind<T: 'q + Encode<'q, DB> + Type<DB>>(mut self, value: T) -> Self {
self.inner = self.inner.bind(value);
self
}
}
impl<'q, DB, O, A> QueryScalar<'q, DB, O, A>
where
DB: Database + HasStatementCache,
{
/// If `true`, the statement will get prepared once and cached to the
/// connection's statement cache.
///
/// If queried once with the flag set to `true`, all subsequent queries
/// matching the one with the flag will use the cached statement until the
/// cache is cleared.
///
/// If `false`, the prepared statement will be closed after execution.
///
/// Default: `true`.
pub fn persistent(mut self, value: bool) -> Self {
self.inner = self.inner.persistent(value);
self
}
}
// FIXME: This is very close, nearly 1:1 with `Map`
// noinspection DuplicatedCode
impl<'q, DB, O, A> QueryScalar<'q, DB, O, A>
where
DB: Database,
O: Send + Unpin,
A: 'q + IntoArguments<'q, DB>,
(O,): Send + Unpin + for<'r> FromRow<'r, DB::Row>,
{
/// Execute the query and return the generated results as a stream.
#[inline]
pub fn fetch<'e, 'c: 'e, E>(self, executor: E) -> BoxStream<'e, Result<O, Error>>
where
'q: 'e,
E: 'e + Executor<'c, Database = DB>,
DB: 'e,
A: 'e,
O: 'e,
{
self.inner.fetch(executor).map_ok(|it| it.0).boxed()
}
/// Execute multiple queries and return the generated results as a stream
/// from each query, in a stream.
#[inline]
#[deprecated = "Only the SQLite driver supports multiple statements in one prepared statement and that behavior is deprecated. Use `sqlx::raw_sql()` instead. See https://github.com/launchbadge/sqlx/issues/3108 for discussion."]
pub fn fetch_many<'e, 'c: 'e, E>(
self,
executor: E,
) -> BoxStream<'e, Result<Either<DB::QueryResult, O>, Error>>
where
'q: 'e,
E: 'e + Executor<'c, Database = DB>,
DB: 'e,
A: 'e,
O: 'e,
{
#[allow(deprecated)]
self.inner
.fetch_many(executor)
.map_ok(|v| v.map_right(|it| it.0))
.boxed()
}
/// Execute the query and return all the resulting rows collected into a [`Vec`].
///
/// ### Note: beware result set size.
/// This will attempt to collect the full result set of the query into memory.
///
/// To avoid exhausting available memory, ensure the result set has a known upper bound,
/// e.g. using `LIMIT`.
#[inline]
pub async fn fetch_all<'e, 'c: 'e, E>(self, executor: E) -> Result<Vec<O>, Error>
where
'q: 'e,
E: 'e + Executor<'c, Database = DB>,
DB: 'e,
(O,): 'e,
A: 'e,
{
self.inner
.fetch(executor)
.map_ok(|it| it.0)
.try_collect()
.await
}
/// Execute the query, returning the first row or [`Error::RowNotFound`] otherwise.
///
/// ### Note: for best performance, ensure the query returns at most one row.
/// Depending on the driver implementation, if your query can return more than one row,
/// it may lead to wasted CPU time and bandwidth on the database server.
///
/// Even when the driver implementation takes this into account, ensuring the query returns at most one row
/// can result in a more optimal query plan.
///
/// If your query has a `WHERE` clause filtering a unique column by a single value, you're good.
///
/// Otherwise, you might want to add `LIMIT 1` to your query.
#[inline]
pub async fn fetch_one<'e, 'c: 'e, E>(self, executor: E) -> Result<O, Error>
where
'q: 'e,
E: 'e + Executor<'c, Database = DB>,
DB: 'e,
O: 'e,
A: 'e,
{
self.inner.fetch_one(executor).map_ok(|it| it.0).await
}
/// Execute the query, returning the first row or `None` otherwise.
///
/// ### Note: for best performance, ensure the query returns at most one row.
/// Depending on the driver implementation, if your query can return more than one row,
/// it may lead to wasted CPU time and bandwidth on the database server.
///
/// Even when the driver implementation takes this into account, ensuring the query returns at most one row
/// can result in a more optimal query plan.
///
/// If your query has a `WHERE` clause filtering a unique column by a single value, you're good.
///
/// Otherwise, you might want to add `LIMIT 1` to your query.
#[inline]
pub async fn fetch_optional<'e, 'c: 'e, E>(self, executor: E) -> Result<Option<O>, Error>
where
'q: 'e,
E: 'e + Executor<'c, Database = DB>,
DB: 'e,
O: 'e,
A: 'e,
{
Ok(self.inner.fetch_optional(executor).await?.map(|it| it.0))
}
}
/// Execute a single SQL query as a prepared statement (transparently cached) and extract the first
/// column of each row.
///
/// Extracts the first column of each row. Additional columns are ignored.
/// Any type that implements `Type<DB> + Decode<DB>` may be used.
///
/// For details about prepared statements and allowed SQL syntax, see [`query()`][crate::query::query].
///
/// ### Example: Simple Lookup
/// If you just want to look up a single value with little fanfare, this API is perfect for you:
///
/// ```rust,no_run
/// # async fn example_lookup() -> Result<(), Box<dyn std::error::Error>> {
/// # let mut conn: sqlx::PgConnection = unimplemented!();
/// use uuid::Uuid;
///
/// // MySQL and MariaDB: use `?`
/// let user_id: Option<Uuid> = sqlx::query_scalar("SELECT user_id FROM users WHERE username = $1")
/// .bind("alice")
/// // Use `&mut` where `conn` is a connection or a transaction, or use `&` for a `Pool`.
/// .fetch_optional(&mut conn)
/// .await?;
///
/// let user_id = user_id.ok_or("unknown user")?;
///
/// # Ok(())
/// # }
/// ```
///
/// Note how we're using `.fetch_optional()` because the lookup may return no results,
/// in which case we need to be able to handle an empty result set.
/// Any rows after the first are ignored.
///
/// ### Example: `COUNT`
/// This API is the easiest way to invoke an aggregate query like `SELECT COUNT(*)`, because you
/// can conveniently extract the result:
///
/// ```rust,no_run
/// # async fn example_count() -> sqlx::Result<()> {
/// # let mut conn: sqlx::PgConnection = unimplemented!();
/// // Note that `usize` is not used here because unsigned integers are generally not supported,
/// // and `usize` doesn't even make sense as a mapping because the database server may have
/// // a completely different architecture.
/// //
/// // `i64` is generally a safe choice for `COUNT`.
/// let count: i64 = sqlx::query_scalar("SELECT COUNT(*) FROM users WHERE accepted_tos IS TRUE")
/// // Use `&mut` where `conn` is a connection or a transaction, or use `&` for a `Pool`.
/// .fetch_one(&mut conn)
/// .await?;
///
/// // The above is functionally equivalent to the following:
/// // Note the trailing comma, required for the compiler to recognize a 1-element tuple.
/// let (count,): (i64,) = sqlx::query_as("SELECT COUNT(*) FROM users WHERE accepted_tos IS TRUE")
/// .fetch_one(&mut conn)
/// .await?;
/// # Ok(())
/// # }
/// ```
///
/// ### Example: `EXISTS`
/// To test if a row exists or not, use `SELECT EXISTS(<query>)`:
///
/// ```rust,no_run
/// # async fn example_exists() -> sqlx::Result<()> {
/// # let mut conn: sqlx::PgConnection = unimplemented!();
/// // MySQL and MariaDB: use `?`
/// let username_taken: bool = sqlx::query_scalar(
/// "SELECT EXISTS(SELECT 1 FROM users WHERE username = $1)"
/// )
/// .bind("alice")
/// // Use `&mut` where `conn` is a connection or a transaction, or use `&` for a `Pool`.
/// .fetch_one(&mut conn)
/// .await?;
/// # Ok(())
/// # }
/// ```
///
/// ### Example: Other Aggregates
/// Be aware that most other aggregate functions return `NULL` if the query yields an empty set:
///
/// ```rust,no_run
/// # async fn example_aggregate() -> sqlx::Result<()> {
/// # let mut conn: sqlx::PgConnection = unimplemented!();
/// let max_upvotes: Option<i64> = sqlx::query_scalar("SELECT MAX(upvotes) FROM posts")
/// // Use `&mut` where `conn` is a connection or a transaction, or use `&` for a `Pool`.
/// .fetch_one(&mut conn)
/// .await?;
/// # Ok(())
/// # }
/// ```
///
/// Note how we're using `Option<i64>` with `.fetch_one()`, because we're always expecting one row
/// but the column value may be `NULL`. If no rows are returned, this will error.
///
/// This is in contrast to using `.fetch_optional()` with `Option<i64>`, which implies that
/// we're expecting _either_ a row with a `i64` (`BIGINT`), _or_ no rows at all.
///
/// Either way, any rows after the first are ignored.
///
/// ### Example: `Vec` of Scalars
/// If you want to collect a single column from a query into a vector,
/// try `.fetch_all()`:
///
/// ```rust,no_run
/// # async fn example_vec() -> sqlx::Result<()> {
/// # let mut conn: sqlx::PgConnection = unimplemented!();
/// let top_users: Vec<String> = sqlx::query_scalar(
/// // Note the `LIMIT` to ensure that this doesn't return *all* users:
/// "SELECT username
/// FROM (
/// SELECT SUM(upvotes) total, user_id
/// FROM posts
/// GROUP BY user_id
/// ) top_users
/// INNER JOIN users USING (user_id)
/// ORDER BY total DESC
/// LIMIT 10"
/// )
/// // Use `&mut` where `conn` is a connection or a transaction, or use `&` for a `Pool`.
/// .fetch_all(&mut conn)
/// .await?;
///
/// // `top_users` could be empty, too.
/// assert!(top_users.len() <= 10);
/// # Ok(())
/// # }
/// ```
#[inline]
pub fn query_scalar<'q, DB, O>(
sql: &'q str,
) -> QueryScalar<'q, DB, O, <DB as Database>::Arguments<'q>>
where
DB: Database,
(O,): for<'r> FromRow<'r, DB::Row>,
{
QueryScalar {
inner: query_as(sql),
}
}
/// Execute a SQL query as a prepared statement (transparently cached), with the given arguments,
/// and extract the first column of each row.
///
/// See [`query_scalar()`] for details.
///
/// For details about prepared statements and allowed SQL syntax, see [`query()`][crate::query::query].
#[inline]
pub fn query_scalar_with<'q, DB, O, A>(sql: &'q str, arguments: A) -> QueryScalar<'q, DB, O, A>
where
DB: Database,
A: IntoArguments<'q, DB>,
(O,): for<'r> FromRow<'r, DB::Row>,
{
query_scalar_with_result(sql, Ok(arguments))
}
/// Same as [`query_scalar_with`] but takes arguments as Result
#[inline]
pub fn query_scalar_with_result<'q, DB, O, A>(
sql: &'q str,
arguments: Result<A, BoxDynError>,
) -> QueryScalar<'q, DB, O, A>
where
DB: Database,
A: IntoArguments<'q, DB>,
(O,): for<'r> FromRow<'r, DB::Row>,
{
QueryScalar {
inner: query_as_with_result(sql, arguments),
}
}
// Make a SQL query from a statement, that is mapped to a concrete value.
pub fn query_statement_scalar<'q, DB, O>(
statement: &'q DB::Statement<'q>,
) -> QueryScalar<'q, DB, O, <DB as Database>::Arguments<'_>>
where
DB: Database,
(O,): for<'r> FromRow<'r, DB::Row>,
{
QueryScalar {
inner: query_statement_as(statement),
}
}
// Make a SQL query from a statement, with the given arguments, that is mapped to a concrete value.
pub fn query_statement_scalar_with<'q, DB, O, A>(
statement: &'q DB::Statement<'q>,
arguments: A,
) -> QueryScalar<'q, DB, O, A>
where
DB: Database,
A: IntoArguments<'q, DB>,
(O,): for<'r> FromRow<'r, DB::Row>,
{
QueryScalar {
inner: query_statement_as_with(statement, arguments),
}
}