Query Object Builder

A fluent, immutable, fully-typed SQL query builder for PHP 8.4+.

You compose a query from small, type-safe expression objects and render it to a parameterized SQL string with bound arguments — never by concatenating strings. The package ships two dialect families, each modelling its own SQL rather than a lowest-common-denominator subset:

PostgreSQL\Q — the PostgreSQL builder.
MySQL\Q — a single MySQL-family builder covering both MySQL and MariaDB. Every construct is buildable regardless of engine or version; where the two engines diverge you build the engine's own form, and an opt-in target-validation pass reports any construct the engine (and version) you are targeting cannot express.

Both families share the same design — fluent, immutable, type-state builders and the Q / Q\Func facade split — so once you know one, you know the other.

Why Query Object Builder?

Dialect-native, not lowest-common-denominator — each family's facade and builders model that engine's own SQL (PostgreSQL arrays and ON CONFLICT; MySQL/MariaDB JSON_TABLE, ON DUPLICATE KEY UPDATE, backtick quoting). No feature is dropped to fit a shared subset.
JSON-first — first-class support for building hierarchical data directly in the database (json_build_object / json_agg on PostgreSQL, JSON_OBJECT / JSON_ARRAYAGG on MySQL/MariaDB).
Complete feature set — CTEs, window functions and frames, grouping, subqueries, upserts, RETURNING, set-returning / table functions, and more.
Type-safe — builder methods only expose what is valid in the current context, so invalid queries are hard to express.
Immutable — every builder method returns a new instance, so base queries can be shared and specialised without surprises.
Runtime target validation — the MySQL family renders both engines from one builder and can report (never silently rewrite) any construct a specific engine or version cannot express.
Zero runtime dependencies — requires only PHP 8.4+. Everything else is a dev-only dependency (PHPUnit, Pest, PHPStan).

Requirements

PHP 8.4 or newer

Installation

composer require flowpack/query-object-builder

The two dialect families

Pick the facade for your database; the fluent API is the same shape on both.

	PostgreSQL	MySQL / MariaDB
Import	`Flowpack\QueryObjectBuilder\PostgreSQL\Q`	`Flowpack\QueryObjectBuilder\MySQL\Q`
Placeholders	numbered `$1`, `$2`, …	positional `?`
Identifier quoting	`"col"` (when needed)	`col` (when needed)
Boolean literal	`true` / `false`	`TRUE` / `FALSE`
Function casing	`count(*)`, `json_agg(...)`	`COUNT(*)`, `JSON_ARRAYAGG(...)`
Cast	`expr::type`	`CAST(expr AS type)` / `CONVERT(...)`
Engines	PostgreSQL	MySQL and MariaDB (one builder)

PostgreSQL\Q and MySQL\Q do not share types — a query built with one is rendered by its own QueryBuilder.

Quick start

PostgreSQL:

use Flowpack\QueryObjectBuilder\PostgreSQL\Q;

$q = Q::select(Q::n('name'), Q::n('email'))
    ->from(Q::n('users'))
    ->where(Q::n('active')->eq(Q::arg(true)))
    ->orderBy(Q::n('name'));

[$sql, $args] = Q::build($q)->toSql();

echo $sql;        // SELECT name,email FROM users WHERE active = $1 ORDER BY name
var_dump($args);  // [true]

MySQL / MariaDB:

use Flowpack\QueryObjectBuilder\MySQL\Q;

$q = Q::select(Q::n('name'), Q::n('email'))
    ->from(Q::n('users'))
    ->where(Q::n('active')->eq(Q::arg(true)))
    ->orderBy(Q::n('name'));

[$sql, $args] = Q::build($q)->toSql();

echo $sql;        // SELECT name,email FROM users WHERE active = ? ORDER BY name
var_dump($args);  // [true]

Q::build($q)->toSql() returns a [$sql, $args] pair: a SQL string with the dialect's placeholders and the positional argument list to bind. See Executing queries for how to run it.

Core concepts

The `Q` facade

Q is the single entry point for building queries. It exposes the builder package as static factory methods so you never reference the underlying builder types directly:

Statements: Q::select(), Q::insertInto(), Q::update(), Q::deleteFrom(), Q::with(), Q::withRecursive() (MySQL family adds Q::replaceInto()).
Identifiers: Q::n('table.column') for names/columns.
Literals: Q::string(), Q::int(), Q::float(), Q::bool(), Q::null(), Q::default() (PostgreSQL adds Q::array(), Q::interval()).
Parameters: Q::arg() (positional), Q::bind() (named).
Composition: Q::and(), Q::or(), Q::not(), Q::exists(), Q::any(), Q::all(), Q::case(), Q::coalesce(), Q::func().

The `Q\Func` facade

SQL functions live on Q\Func. On PostgreSQL: Q\Func::jsonBuildObject(), Q\Func::jsonAgg(), Q\Func::count(), Q\Func::rowNumber(), Q\Func::unnest(), … On MySQL/MariaDB: Q\Func::jsonObject(), Q\Func::jsonArrayAgg(), Q\Func::count(), Q\Func::groupConcat(), Q\Func::rank(), … It is named Func (not Fn) because fn is a reserved keyword in PHP.

Q\Func is the expression facade: every method returns something usable anywhere an expression is valid. Constructs that are not general expressions — a statement, or a FROM-only producer like JSON_TABLE — live on Q instead (Q::jsonTable(), PostgreSQL's Q::rowsFrom()).

Immutability

Every builder method returns a new builder — the original is never mutated. This makes base queries safe to reuse:

$base = Q::select(Q::n('*'))->from(Q::n('users'));

$active = $base->where(Q::n('active')->eq(Q::bool(true)));
$recent = $base->where(Q::n('created_at')->gt(Q::string('2024-01-01')));
// $base is unchanged

Operators on expressions

Expressions returned by Q::n(), Q::arg(), literals and functions carry the SQL operators as fluent methods; what reads as a function is built through the facade. Each family models the operator set its dialect actually has:

Shared: ->eq(), ->neq(), ->lt(), ->lte(), ->gt(), ->gte(), ->like(), ->in(), ->isNull(), ->isNotNull(), ->plus(), ->minus(), ->mult(), ->and()/->or(), …
PostgreSQL-specific: ->ilike(), ->cast('text') (::), ->concat() (||), array/JSON operators.
MySQL/MariaDB-specific: ->nullSafeEq() (<=>), ->regexp(), ->memberOf() (MEMBER OF), ->jsonExtract() / ->jsonExtractText() (-> / ->>, MySQL), the bitwise operators (->bitAnd(), ->bitOr(), ->shiftLeft(), …).

Parentheses are added automatically based on each dialect's operator precedence.

Building and rendering

A finished query is handed to Q::build($q) to configure rendering, then ->toSql() produces the [$sql, $args] pair:

[$sql, $args] = Q::build($q)->toSql();                       // validate + render
[$sql, $args] = Q::build($q)->withoutValidation()->toSql();  // skip value checks
[$sql, $args] = Q::build($q)->withNamedArgs([...])->toSql();  // bind Q::bind() names

See Validation & errors for what is checked and how to opt out, and the MySQL-only target validation pass.

MySQL & MariaDB: one builder, two engines

The MySQL family is a single builder for both MySQL and MariaDB. The two engines share ~95% of their grammar and all of their rendering conventions (backtick identifiers, ? placeholders, string escaping), so one builder models both. This section is the design goal that makes that safe.

Nothing is gated at build time. Every construct is buildable regardless of engine or version — the builder never refuses a feature because your engine is the wrong flavour or too old. Engine and version are inputs to the opt-in validation pass below, which reports (never rewrites or blocks) what a target cannot express. This is also why the PostgreSQL builder carries no version: it models a single engine, so it needs no target at all.

Rendering is determined by construction

Rendering never branches on a dialect flag. What you build is exactly what is rendered — so the engine-divergent constructs are reached by building the engine's own form, not by toggling a mode:

Intent	MySQL	MariaDB
Shared row lock	`->forShare()`	`->lockInShareMode()`
Upsert proposed-row ref	`->as('new')` + `Q::n('new.col')`	`Q::values('col')` (also works on MySQL)
JSON path	`->jsonExtract()` / `->jsonExtractText()`	`Q\Func::jsonExtract()` / `Q\Func::jsonUnquote()`
Pretty-print JSON	`Q\Func::jsonPretty()`	`Q\Func::jsonDetailed()`
`RETURNING`	— (not supported)	`->returning(...)`
`LATERAL`	`->joinLateral()` / `->fromLateral()`	— (no equivalent)

Building without a target renders precisely what you constructed and never fails on dialect grounds.

Opt-in target validation

To check a query against a specific engine (and, optionally, version), opt in with withValidateTarget(). Each divergent construct reports itself while rendering, so you get a QueryBuilderException naming what the target cannot express:

use Flowpack\QueryObjectBuilder\MySQL\Q;
use Flowpack\QueryObjectBuilder\MySQL\Builder\Target;

$q = Q::select(Q::n('id'))->from(Q::n('t'))->forShare();   // FOR SHARE is MySQL-only

Q::build($q)->withValidateTarget(Target::mysql())->toSql();    // ok
Q::build($q)->withValidateTarget(Target::mariaDb())->toSql();  // throws QueryBuilderException:
// "FOR SHARE requires MySQL, but the query is validated against MariaDB"

Target::mysql($version) / Target::mariaDb($version) carry an optional version. Version-gated features are checked only when a version is supplied — a leading WITH on UPDATE/DELETE is valid on MySQL and on MariaDB 12.3+, so it passes against Target::mariaDb('12.3') but fails against Target::mariaDb('11.4'). A target with no version only checks the dialect.

Worked per-engine variants for each divergent construct are in the Examples below.

Examples

How to read these examples. Unless a snippet is labelled for a specific engine, the PHP builds identically on both facades — import PostgreSQL\Q or MySQL\Q as Q. Only the rendered SQL differs by dialect ($1 vs ?, identifier quoting, true vs TRUE, lower- vs upper-case function names). Divergent constructs show a snippet per engine. The builder emits compact, single-line SQL; the SQL below is formatted for readability.

Jump to:

Basic queries · Joins · Aggregation & grouping · Window functions · JSON · Arrays (PostgreSQL) · Subqueries · CTEs (WITH) · INSERT & upsert · UPDATE · DELETE · Functions & operators · Locking

Basic queries

SELECT with WHERE

$q = Q::select(Q::n('name'), Q::n('email'))
    ->from(Q::n('users'))
    ->where(Q::n('active')->eq(Q::arg(true)));

-- PostgreSQL
SELECT name, email FROM users WHERE active = $1   -- args: [true]
-- MySQL / MariaDB
SELECT name, email FROM users WHERE active = ?    -- args: [true]

Multiple conditions

$q = Q::select(Q::n('*'))
    ->from(Q::n('employees'))
    ->where(Q::and(
        Q::or(
            Q::n('firstname')->like(Q::arg('John%')),
            Q::n('lastname')->like(Q::arg('John%')),
        ),
        Q::n('active')->eq(Q::bool(true)),
    ));

-- PostgreSQL
SELECT * FROM employees
WHERE (firstname LIKE $1 OR lastname LIKE $2) AND active = true
-- MySQL / MariaDB
SELECT * FROM employees
WHERE (firstname LIKE ? OR lastname LIKE ?) AND active = TRUE

PostgreSQL also has ->ilike() for case-insensitive matching; MySQL/MariaDB use ->like() (case-insensitivity follows the column collation) or ->regexp().

DISTINCT

$q = Q::select(Q::n('department'))->distinct()->from(Q::n('employees'));

-- PostgreSQL / MySQL / MariaDB
SELECT DISTINCT department FROM employees

ORDER BY, LIMIT and OFFSET

$q = Q::select(Q::n('name'), Q::n('salary'))
    ->from(Q::n('employees'))
    ->orderBy(Q::n('salary'))->desc()
    ->limit(Q::int(10))
    ->offset(Q::int(20));

-- PostgreSQL / MySQL / MariaDB
SELECT name, salary FROM employees ORDER BY salary DESC LIMIT 10 OFFSET 20

NULLS FIRST / NULLS LAST (->nullsLast()) is PostgreSQL-only.

Joins

join(), leftJoin(), rightJoin(), crossJoin() are shared; alias with ->as() and constrain with ->on(...) or ->using('col').

$q = Q::select(Q::n('u.name'), Q::n('p.title'))
    ->from(Q::n('users'))->as('u')
    ->leftJoin(Q::n('posts'))->as('p')->on(Q::n('u.id')->eq(Q::n('p.user_id')));

-- PostgreSQL / MySQL / MariaDB
SELECT u.name, p.title FROM users AS u
LEFT JOIN posts AS p ON u.id = p.user_id

LATERAL join

Supported by PostgreSQL and MySQL — MariaDB has no LATERAL.

$q = Q::select(Q::n('*'))
    ->from(Q::n('orders'))->as('o')
    ->joinLateral(
        Q::select(Q::n('*'))->from(Q::n('items'))->as('i')
            ->where(Q::n('i.order_id')->eq(Q::n('o.id')))
            ->limit(Q::int(3)),
    )->as('top')->on(Q::bool(true));

-- PostgreSQL
SELECT * FROM orders AS o
JOIN LATERAL (SELECT * FROM items AS i WHERE i.order_id = o.id LIMIT 3) AS top ON true
-- MySQL
SELECT * FROM orders AS o
JOIN LATERAL (SELECT * FROM items AS i WHERE i.order_id = o.id LIMIT 3) AS top ON TRUE

fromLateral(), leftJoinLateral() and crossJoinLateral() are also available. Within the MySQL family, LATERAL is MySQL-only — validating against Target::mariaDb() reports "LATERAL requires MySQL".

Aggregation & grouping

$q = Q::select(Q::n('department'), Q\Func::count(Q::n('*')))->as('n')
    ->from(Q::n('employees'))
    ->groupBy(Q::n('department'))
    ->having(Q\Func::count(Q::n('*'))->gt(Q::int(5)));

-- PostgreSQL
SELECT department, count(*) AS n FROM employees
GROUP BY department HAVING count(*) > 5
-- MySQL / MariaDB
SELECT department, COUNT(*) AS n FROM employees
GROUP BY department HAVING COUNT(*) > 5

ROLLUP

The engines spell super-aggregate grouping differently:

// PostgreSQL: GROUP BY ROLLUP (...)
$q = Q::select(Q::n('department'), Q::n('job_title'), Q\Func::sum(Q::n('salary')))
    ->from(Q::n('employees'))
    ->groupBy()->rollup(Q::exps(Q::n('department')), Q::exps(Q::n('job_title')));
// SELECT department, job_title, sum(salary) FROM employees
// GROUP BY ROLLUP (department, job_title)

// MySQL / MariaDB: GROUP BY ... WITH ROLLUP
$q = Q::select(Q::n('department'), Q::n('job_title'), Q\Func::sum(Q::n('salary')))
    ->from(Q::n('employees'))
    ->groupBy(Q::n('department'), Q::n('job_title'))->withRollup();
// SELECT department, job_title, SUM(salary) FROM employees
// GROUP BY department, job_title WITH ROLLUP

PostgreSQL also supports ->groupingSets(...) and ->cube(...).

Window functions

Aggregate and window functions carry ->over() (inline) or ->over('w') (named), refined with ->partitionBy(...), ->orderBy(...) and frame clauses.

$q = Q::select(
    Q::n('name'),
    Q::n('salary'),
    Q\Func::rowNumber()->over()->partitionBy(Q::n('department'))->orderBy(Q::n('salary'))->desc(),
)->from(Q::n('employees'));

-- PostgreSQL
SELECT name, salary,
       row_number() OVER (PARTITION BY department ORDER BY salary DESC)
FROM employees
-- MySQL / MariaDB
SELECT name, salary,
       ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC)
FROM employees

Named windows

$q = Q::select(
    Q\Func::sum(Q::n('salary'))->over('w'),
    Q\Func::avg(Q::n('salary'))->over('w'),
)
    ->from(Q::n('empsalary'))
    ->window('w')->as()->partitionBy(Q::n('depname'))->orderBy(Q::n('salary'))->desc();

-- MySQL / MariaDB (PostgreSQL renders the same, lower-cased)
SELECT SUM(salary) OVER w, AVG(salary) OVER w
FROM empsalary
WINDOW w AS (PARTITION BY depname ORDER BY salary DESC)

Frames

use Flowpack\QueryObjectBuilder\MySQL\Q;

// Running total: ROWS UNBOUNDED PRECEDING
$q = Q::select(
    Q\Func::sum(Q::n('val'))->over()
        ->partitionBy(Q::n('subject'))->orderBy(Q::n('time'))
        ->rows(Q::unboundedPreceding()),
)->from(Q::n('observations'));
// SELECT SUM(val) OVER (PARTITION BY subject ORDER BY time ROWS UNBOUNDED PRECEDING) FROM observations

// Moving average: ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING
$q = Q::select(
    Q\Func::avg(Q::n('val'))->over()
        ->partitionBy(Q::n('subject'))->orderBy(Q::n('time'))
        ->rows(Q::preceding(Q::int(1)), Q::following(Q::int(1))),
)->from(Q::n('observations'));
// SELECT AVG(val) OVER (PARTITION BY subject ORDER BY time ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) FROM observations

MariaDB additionally offers distribution aggregates — Q\Func::median(), Q\Func::percentileCont() / percentileDisc() with ->withinGroup() — which validate against Target::mariaDb() only.

JSON

Both families build hierarchical data in the database, but with each engine's own function set.

Build a JSON object

Both families build objects from key/value properties with a ->prop() builder, under each dialect's own function name:

// PostgreSQL: json_build_object()
$q = Q::select(
    Q\Func::jsonBuildObject()
        ->prop('id', Q::n('id'))
        ->prop('name', Q::n('name')),
)->from(Q::n('users'));
// SELECT json_build_object('id', id, 'name', name) FROM users

// MySQL / MariaDB: JSON_OBJECT()
$q = Q::select(
    Q\Func::jsonObject()
        ->prop('id', Q::n('id'))
        ->prop('name', Q::n('name')),
)->from(Q::n('users'));
// SELECT JSON_OBJECT('id', id, 'name', name) FROM users

The builder keeps insertion order, and ->propIf($cond, 'key', $value) / ->applyIf(...) / ->unset('key') let you shape the object incrementally:

$obj = Q\Func::jsonObject()
    ->prop('id', Q::n('id'))
    ->propIf($includeName, 'name', Q::n('name'));

Property keys are string literals; for a computed key, drop to the Q::func('json_build_object'|'JSON_OBJECT', ...) escape hatch.

JSON-first query (`selectJson`)

When a query's primary output is a single JSON object, Q::selectJson($obj) makes it the first select element; refine it later with applySelectJson() and name it with ->as(). Both families support it — pass the family's own object builder.

$q = Q::selectJson(
    // PostgreSQL: Q\Func::jsonBuildObject() — MySQL / MariaDB: Q\Func::jsonObject()
    Q\Func::jsonObject()
        ->prop('id', Q::n('authors.author_id'))
        ->prop('name', Q::n('authors.name')),
)
    ->from(Q::n('authors'))
    ->where(Q::n('authors.author_id')->eq(Q::arg(123)));

// The builder is a blueprint — add to the JSON selection later:
$q = $q->applySelectJson(fn ($obj) => $obj->prop('postCount', Q\Func::count(Q::n('posts'))));

-- PostgreSQL
SELECT json_build_object('id', authors.author_id, 'name', authors.name, 'postCount', count(posts))
FROM authors WHERE authors.author_id = $1
-- MySQL / MariaDB
SELECT JSON_OBJECT('id', authors.author_id, 'name', authors.name, 'postCount', COUNT(posts))
FROM authors WHERE authors.author_id = ?

Aggregate rows into a JSON array

// PostgreSQL: json_agg(...)
$q = Q::select(
    Q::n('department'),
    Q\Func::jsonAgg(
        Q\Func::jsonBuildObject()->prop('name', Q::n('name'))->prop('salary', Q::n('salary')),
    )->orderBy(Q::n('name')),
)->from(Q::n('employees'))->groupBy(Q::n('department'));
// SELECT department, json_agg(json_build_object('name', name, 'salary', salary) ORDER BY name)
// FROM employees GROUP BY department

// MySQL / MariaDB: JSON_ARRAYAGG(...); COALESCE with JSON_ARRAY() to avoid NULL on empty sets
$q = Q::select(
    Q::n('department'),
    Q::coalesce(
        Q\Func::jsonArrayAgg(
            Q\Func::jsonObject()->prop('name', Q::n('name'))->prop('salary', Q::n('salary')),
        ),
        Q\Func::jsonArray(),
    ),
)->from(Q::n('employees'))->groupBy(Q::n('department'));
// SELECT department, COALESCE(JSON_ARRAYAGG(JSON_OBJECT('name', name, 'salary', salary)), JSON_ARRAY())
// FROM employees GROUP BY department

JSON path access — MySQL family

use Flowpack\QueryObjectBuilder\MySQL\Q;

// MySQL: the -> and ->> operators
$q = Q::select(Q::n('doc')->jsonExtract(Q::string('$.name')))->from(Q::n('t'));
// SELECT doc -> '$.name' FROM t

// MariaDB: the function form (also works on MySQL)
$q = Q::select(Q\Func::jsonExtract(Q::n('doc'), Q::string('$.name')))->from(Q::n('t'));
// SELECT JSON_EXTRACT(doc, '$.name') FROM t

The -> / ->> operators validate against Target::mysql() only; the JSON_EXTRACT / JSON_UNQUOTE function form is portable across both engines.

JSON_TABLE — MySQL family

Q::jsonTable(doc, path) is a FROM-clause table function; define its columns with ->columns(closure). ->column() opens a value column and ->path() gives its JSON path; ->forOrdinality() / ->existsPath() pick the other leaf forms, the miss handlers (->defaultOnEmpty() / ->nullOnError() / …) attach, and ->nested()->path()->columns() recurses.

$q = Q::select(Q::n('jt.id'), Q::n('jt.tag'))
    ->from(Q::n('t'))
    ->from(
        Q::jsonTable(Q::n('t.doc'), '$[*]')->columns(fn ($c) => $c
            ->column('id', 'INT')->path('$.id')
            ->column('ord')->forOrdinality()
            ->nested()->path('$.tags[*]')->columns(fn ($tags) => $tags
                ->column('tag', 'VARCHAR(50)')->path('$'))),
    )->as('jt');

-- MySQL / MariaDB
SELECT jt.id, jt.tag FROM t,
  JSON_TABLE(t.doc, '$[*]' COLUMNS (
    id INT PATH '$.id',
    ord FOR ORDINALITY,
    NESTED PATH '$.tags[*]' COLUMNS (tag VARCHAR(50) PATH '$'))) AS jt

Arrays (PostgreSQL)

Native arrays are a PostgreSQL feature.

use Flowpack\QueryObjectBuilder\PostgreSQL\Q;

$q = Q::select(
    Q\Func::arrayAppend(Q::array(Q::int(1), Q::int(2)), Q::int(3)),
    Q\Func::arrayLength(Q::array(Q::int(1), Q::int(2), Q::int(3)), Q::int(1)),
);
// SELECT array_append(ARRAY[1,2], 3), array_length(ARRAY[1,2,3], 1)

$q = Q::select(Q::n('*'))
    ->from(Q\Func::unnest(Q::array(Q::string('a'), Q::string('b'))))
    ->as('t')->columnAliases('value');
// SELECT * FROM unnest(ARRAY['a','b']) AS t (value)

Subqueries

EXISTS and IN

$q = Q::select(Q::n('name'))
    ->from(Q::n('users'))
    ->where(Q::exists(
        Q::select(Q::int(1))
            ->from(Q::n('posts'))
            ->where(Q::n('posts.user_id')->eq(Q::n('users.id'))),
    ));

-- PostgreSQL / MySQL / MariaDB
SELECT name FROM users
WHERE EXISTS (SELECT 1 FROM posts WHERE posts.user_id = users.id)

IN with bound arguments

$ids = [1, 2, 3];

$q = Q::select(Q::n('username'))
    ->from(Q::n('accounts'))
    ->where(Q::n('id')->in(Q::args(...$ids)));

-- PostgreSQL
SELECT username FROM accounts WHERE id IN ($1, $2, $3)   -- args: [1, 2, 3]
-- MySQL / MariaDB
SELECT username FROM accounts WHERE id IN (?, ?, ?)      -- args: [1, 2, 3]

ANY / ALL

$q = Q::select(Q::n('id'))->from(Q::n('users'))
    ->where(Q::n('id')->eq(Q::any(
        Q::select(Q::n('user_id'))->from(Q::n('orders')),
    )));

-- PostgreSQL / MySQL / MariaDB
SELECT id FROM users WHERE id = ANY (SELECT user_id FROM orders)

CTEs (WITH)

$q = Q::with('recent_orders')->as(
    Q::select(Q::n('*'))
        ->from(Q::n('orders'))
        ->where(Q::n('created_at')->gt(Q::arg('2023-01-01'))),
)
    ->select(Q::n('customer_name'), Q\Func::count(Q::n('*')))
    ->from(Q::n('recent_orders'))
    ->groupBy(Q::n('customer_name'));

-- PostgreSQL (MySQL/MariaDB render the same, with ? and upper-cased count)
WITH recent_orders AS (
    SELECT * FROM orders WHERE created_at > $1
)
SELECT customer_name, count(*) FROM recent_orders GROUP BY customer_name

Q::withRecursive('t')->columnNames(...)->as(...) builds recursive CTEs, and ->appendWith(...) chains several. On PostgreSQL a WITH precedes any statement; on the MySQL family a leading WITH before UPDATE/DELETE is MySQL-only (and MariaDB 12.3+):

use Flowpack\QueryObjectBuilder\MySQL\Q;

$q = Q::with('stale')->as(Q::select(Q::n('id'))->from(Q::n('sessions'))->where(Q::n('expired')->eq(Q::int(1))))
    ->deleteFrom(Q::n('users'))->where(Q::n('id')->in(Q::select(Q::n('id'))->from(Q::n('stale'))));
// WITH stale AS (SELECT id FROM sessions WHERE expired = 1) DELETE FROM users WHERE id IN (SELECT id FROM stale)
// ok against Target::mysql() and Target::mariaDb('12.3'); reported against Target::mariaDb('11.4')

INSERT & upsert

The basic INSERT surface is shared: ->columnNames(...), ->values(...) (repeat for multiple rows), ->setMap([...]), and ->query(...) to insert from a SELECT.

$q = Q::insertInto(Q::n('users'))
    ->columnNames('name', 'email')
    ->values(Q::arg('Jane Doe'), Q::arg('jane@example.com'));

-- PostgreSQL
INSERT INTO users (name, email) VALUES ($1, $2)   -- args: ['Jane Doe', 'jane@example.com']
-- MySQL / MariaDB
INSERT INTO users (name, email) VALUES (?, ?)     -- args: ['Jane Doe', 'jane@example.com']

Upsert

The engines model conflict handling differently:

// PostgreSQL: INSERT ... ON CONFLICT ... DO UPDATE
use Flowpack\QueryObjectBuilder\PostgreSQL\Q;

$q = Q::insertInto(Q::n('distributors'))
    ->columnNames('did', 'dname')
    ->values(Q::int(5), Q::string('Gizmo Transglobal'))
    ->onConflict(Q::n('did'))->doUpdate()
    ->set('dname', Q::n('EXCLUDED.dname'));
// INSERT INTO distributors (did, dname) VALUES (5, 'Gizmo Transglobal')
// ON CONFLICT (did) DO UPDATE SET dname = EXCLUDED.dname

// MySQL / MariaDB: INSERT ... ON DUPLICATE KEY UPDATE
use Flowpack\QueryObjectBuilder\MySQL\Q;

// MySQL: alias the proposed row with AS new, reference it as new.col
$q = Q::insertInto(Q::n('t'))
    ->columnNames('id', 'hits')->values(Q::arg(1), Q::arg(10))->as('new')
    ->onDuplicateKeyUpdate()->set('hits', Q::n('new.hits'));
// INSERT INTO t (id,hits) VALUES (?,?) AS new ON DUPLICATE KEY UPDATE hits = new.hits

// Portable: the VALUES(col) function works on both engines
$q = Q::insertInto(Q::n('t'))
    ->columnNames('id', 'hits')->values(Q::arg(1), Q::arg(10))
    ->onDuplicateKeyUpdate()->set('hits', Q::values('hits'));
// INSERT INTO t (id,hits) VALUES (?,?) ON DUPLICATE KEY UPDATE hits = VALUES(hits)

->as('new') is MySQL-only (reported against MariaDB). The MySQL family also has Q::insertInto(...)->ignore() (INSERT IGNORE) and Q::replaceInto(...) (a REPLACE statement with the same surface).

RETURNING

// PostgreSQL
use Flowpack\QueryObjectBuilder\PostgreSQL\Q;

$q = Q::insertInto(Q::n('users'))
    ->columnNames('name')->values(Q::arg('Jane'))
    ->returning(Q::n('id'), Q::n('created_at'));
// INSERT INTO users (name) VALUES ($1) RETURNING id, created_at

// MariaDB (INSERT / REPLACE / single-table DELETE) — reported against Target::mysql()
use Flowpack\QueryObjectBuilder\MySQL\Q;

$q = Q::insertInto(Q::n('t'))->columnNames('a')->values(Q::arg(1))
    ->returning(Q::n('id'))->as('new_id');
// INSERT INTO t (a) VALUES (?) RETURNING id AS new_id

UPDATE

$q = Q::update(Q::n('films'))
    ->set('kind', Q::arg('Dramatic'))
    ->where(Q::n('kind')->eq(Q::arg('Drama')));

-- PostgreSQL
UPDATE films SET kind = $1 WHERE kind = $2   -- args: ['Dramatic', 'Drama']
-- MySQL / MariaDB
UPDATE films SET kind = ? WHERE kind = ?     -- args: ['Dramatic', 'Drama']

Joining another table is spelled per family — PostgreSQL uses UPDATE ... FROM, the MySQL family uses a multi-table JOIN:

// PostgreSQL
$q = Q::update(Q::n('employees'))->as('e')
    ->set('department_name', Q::n('d.name'))
    ->from(Q::n('departments'))->as('d')
    ->where(Q::n('e.department_id')->eq(Q::n('d.id')));
// UPDATE employees AS e SET department_name = d.name FROM departments AS d WHERE e.department_id = d.id

// MySQL / MariaDB
$q = Q::update(Q::n('t1'))
    ->leftJoin(Q::n('t2'))->on(Q::n('t1.id')->eq(Q::n('t2.id')))
    ->set('t1.col1', Q::n('t2.col1'))
    ->where(Q::n('t2.col2')->isNull());
// UPDATE t1 LEFT JOIN t2 ON t1.id = t2.id SET t1.col1 = t2.col1 WHERE t2.col2 IS NULL

On the MySQL family, ->orderBy() / ->limit() are available on single-table UPDATE only; combining them with a join raises a QueryBuilderException when the query is built.

DELETE

$q = Q::deleteFrom(Q::n('films'))
    ->where(Q::n('kind')->neq(Q::arg('Musical')));

-- PostgreSQL
DELETE FROM films WHERE kind <> $1   -- args: ['Musical']
-- MySQL / MariaDB
DELETE FROM films WHERE kind <> ?    -- args: ['Musical']

Joining is DELETE ... USING on PostgreSQL and a multi-table JOIN on the MySQL family:

// PostgreSQL
$q = Q::deleteFrom(Q::n('films'))
    ->using(Q::n('producers'))
    ->where(Q::n('producer_id')->eq(Q::n('producers.id')));
// DELETE FROM films USING producers WHERE producer_id = producers.id

// MySQL / MariaDB
$q = Q::deleteFrom(Q::n('t1'))
    ->leftJoin(Q::n('t2'))->on(Q::n('t1.id')->eq(Q::n('t2.id')))
    ->where(Q::n('t2.id')->isNull());
// DELETE t1.* FROM t1 LEFT JOIN t2 ON t1.id = t2.id WHERE t2.id IS NULL

Functions & operators

CASE

$q = Q::select(
    Q::n('name'),
    Q::case()
        ->when(Q::n('salary')->lt(Q::int(30000)))->then(Q::string('Low'))
        ->when(Q::n('salary')->lt(Q::int(70000)))->then(Q::string('Medium'))
        ->else(Q::string('High'))
        ->end(),
)->from(Q::n('employees'));

-- PostgreSQL / MySQL / MariaDB
SELECT name,
       CASE WHEN salary < 30000 THEN 'Low'
            WHEN salary < 70000 THEN 'Medium'
            ELSE 'High' END
FROM employees

Casts

// PostgreSQL: the :: operator via ->cast()
$q = Q::select(Q::n('articles.content')->cast('text'))->from(Q::n('articles'));
// SELECT articles.content::text FROM articles

// MySQL / MariaDB: CAST / CONVERT through the facade
$q = Q::select(Q::cast(Q::n('a'), 'UNSIGNED'), Q::convert(Q::n('a'), 'DECIMAL(10,2)'));
// SELECT CAST(a AS UNSIGNED), CONVERT(a, DECIMAL(10,2))

Scalar functions

Each family exposes its own curated function set via Q\Func:

// PostgreSQL
$q = Q::select(Q\Func::upper(Q::n('name')), Q\Func::extract('year', Q::n('created_at')))
    ->from(Q::n('users'));
// SELECT upper(name), EXTRACT(year FROM created_at) FROM users

// MySQL / MariaDB
$q = Q::select(Q\Func::upper(Q::n('name')), Q\Func::dateAdd(Q::n('created'), Q::interval(Q::int(1), 'DAY')))
    ->from(Q::n('users'));
// SELECT UPPER(name), DATE_ADD(created, INTERVAL 1 DAY) FROM users

Anything not on Q\Func is reachable through the raw escape hatch Q::func('NAME', ...args).

Locking

->forUpdate() (optionally ->nowait() / ->skipLocked()) is shared. The shared lock diverges within the MySQL family:

use Flowpack\QueryObjectBuilder\MySQL\Q;

// MySQL: FOR SHARE (+ of() / nowait() / skipLocked())
$q = Q::select(Q::n('id'))->from(Q::n('t'))->forShare()->of('t')->nowait();
// SELECT id FROM t FOR SHARE OF t NOWAIT

// MariaDB: LOCK IN SHARE MODE
$q = Q::select(Q::n('id'))->from(Q::n('t'))->lockInShareMode();
// SELECT id FROM t LOCK IN SHARE MODE

->of(...) is MySQL-only even on FOR UPDATE; validating a query that uses it against Target::mariaDb() reports it.

Parameters

Positional parameters

Each Q::arg() becomes a placeholder in order of appearance — $1, $2, … on PostgreSQL, ? on the MySQL family:

$q = Q::select(Q::n('*'))
    ->from(Q::n('users'))
    ->where(Q::and(
        Q::n('name')->like(Q::arg('John%')),
        Q::n('active')->eq(Q::arg(true)),
    ));

[$sql, $args] = Q::build($q)->toSql();
// PostgreSQL: SELECT * FROM users WHERE name LIKE $1 AND active = $2   args: ['John%', true]
// MySQL:      SELECT * FROM users WHERE name LIKE ? AND active = ?     args: ['John%', true]

Named parameters

Q::bind() declares a named placeholder; bind the values with withNamedArgs():

$q = Q::select(Q::n('*'))
    ->from(Q::n('users'))
    ->where(Q::n('name')->like(Q::bind('search')));

[$sql, $args] = Q::build($q)->withNamedArgs(['search' => 'John%'])->toSql();

On PostgreSQL a reused name reuses its $n placeholder. On the MySQL family a ? placeholder is not reusable, so each occurrence of a name emits its own ?, each bound to the same value. Named and positional parameters can be mixed.

Validation & errors

By default the builder validates while rendering; problems are collected and thrown together as one QueryBuilderException from toSql(). There are three mechanisms:

Advisory value checks — a suspect value or modifier in an otherwise well-formed statement: an invalid identifier or cast type, an empty CASE, a DISTINCT on an aggregate whose grammar rejects it. These throw when built but still render under Q::build($q)->withoutValidation()->toSql() — the escape hatch for callers who know better.
```
Q::build(Q::n('foo bar'))->toSql();                       // throws: identifier: invalid: foo bar
[$sql] = Q::build(Q::n('foo bar'))->withoutValidation()->toSql();  // 'foo bar'
```
Mutually-exclusive builder state — two options that cannot coexist in one statement (e.g. setting both values and a query on an INSERT, or ORDER BY/LIMIT on a multi-table UPDATE/DELETE). This is builder-API misuse, so it always throws, even with validation disabled.
Target validation (MySQL family only, opt-in) — Q::build($q)->withValidateTarget(Target::mysql() | mariaDb($version)) reports constructs the target engine/version cannot express. See MySQL & MariaDB.

Executing queries

The builder is driver-agnostic: it produces a SQL string with the dialect's placeholders and a positional argument list. Feed both to any layer that speaks that dialect's placeholders.

PostgreSQL (e.g. the pgsql extension):

use Flowpack\QueryObjectBuilder\PostgreSQL\Q;

$conn = pg_connect('host=localhost dbname=app user=app');

$q = Q::select(Q::n('name'), Q::n('email'))
    ->from(Q::n('users'))
    ->where(Q::n('active')->eq(Q::arg(true)));

[$sql, $args] = Q::build($q)->toSql();

$result = pg_query_params($conn, $sql, $args);
while ($row = pg_fetch_assoc($result)) {
    printf("Name: %s, Email: %s\n", $row['name'], $row['email']);
}

MySQL / MariaDB (e.g. PDO):

use Flowpack\QueryObjectBuilder\MySQL\Q;

$pdo = new PDO('mysql:host=localhost;dbname=app', 'app', 'secret');

$q = Q::select(Q::n('name'), Q::n('email'))
    ->from(Q::n('users'))
    ->where(Q::n('active')->eq(Q::arg(true)));

[$sql, $args] = Q::build($q)->toSql();

$stmt = $pdo->prepare($sql);
$stmt->execute($args);
foreach ($stmt as $row) {
    printf("Name: %s, Email: %s\n", $row['name'], $row['email']);
}

Best practices

Reuse expressions and base queries

$userName  = Q::n('users.name');
$userEmail = Q::n('users.email');

$q = Q::select($userName, $userEmail)->from(Q::n('users'));

Build queries conditionally with `applyIf`

Builders expose applyIf() so optional clauses read top-to-bottom without breaking the fluent chain:

$q = Q::update(Q::n('films'))
    ->set('kind', Q::arg('Dramatic'))
    ->where(Q::n('kind')->eq(Q::arg('Drama')))
    ->applyIf($onlyActive, fn ($q) => $q->where(Q::n('archived')->eq(Q::bool(false))));

Organise complex reports with CTEs

Break a large query into named, readable parts with Q::with() and chain several CTEs with appendWith().

Development

composer install

composer test       # run the Pest test suite
composer analyse    # run PHPStan (level max)

Both must pass for any change.

License

Licensed under the GNU General Public License v3.0 or later.

Name		Name	Last commit message	Last commit date
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.github/workflows		.github/workflows
devbox.d/php		devbox.d/php
docs		docs
src		src
tests		tests
.envrc		.envrc
.gitignore		.gitignore
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
LICENSE		LICENSE
README.md		README.md
composer.json		composer.json
composer.lock		composer.lock
devbox.json		devbox.json
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phpunit.xml		phpunit.xml

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Query Object Builder

Contents

Why Query Object Builder?

Requirements

Installation

The two dialect families

Quick start

Core concepts

The Q facade

The Q\Func facade

Immutability

Operators on expressions

Building and rendering

MySQL & MariaDB: one builder, two engines

Rendering is determined by construction

Opt-in target validation

Examples

Basic queries

SELECT with WHERE

Multiple conditions

DISTINCT

ORDER BY, LIMIT and OFFSET

Joins

LATERAL join

Aggregation & grouping

ROLLUP

Window functions

Named windows

Frames

JSON

Build a JSON object

JSON-first query (selectJson)

Aggregate rows into a JSON array

JSON path access — MySQL family

JSON_TABLE — MySQL family

Arrays (PostgreSQL)

Subqueries

EXISTS and IN

IN with bound arguments

ANY / ALL

CTEs (WITH)

INSERT & upsert

Upsert

RETURNING

UPDATE

DELETE

Functions & operators

CASE

Casts

Scalar functions

Locking

Parameters

Positional parameters

Named parameters

Validation & errors

Executing queries

Best practices

Reuse expressions and base queries

Build queries conditionally with applyIf

Organise complex reports with CTEs

Development

License

About

Resources

License

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Watchers

Forks

Releases 2

Packages 0

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Contributors

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Languages

The `Q` facade

The `Q\Func` facade

JSON-first query (`selectJson`)

Build queries conditionally with `applyIf`

Packages