Database Abstraction Layer¶
Overview¶
The components under the Phalcon\Db namespace are the ones responsible for powering the Phalcon\Mvc\Model class - the Model in MVC for the framework. It consists of an independent high-level abstraction layer for database systems completely written in C.
This component allows for a lower level of database manipulation than using traditional models.
Adapters¶
This component makes use of adapters to encapsulate specific database system details. Phalcon uses PDO to connect to databases. The following database engines are supported:
| Class | Description |
|---|---|
| Phalcon\Db\Adapter\Pdo\Mysql | Is the world's most used relational database management system (RDBMS) that runs as a server providing multi-user access to several databases |
| Phalcon\Db\Adapter\Pdo\Postgresql | PostgreSQL is a powerful, open-source relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. |
| Phalcon\Db\Adapter\Pdo\Sqlite | SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine |
Constants¶
The Phalcon\Db\Enum class exposes several constants that can be used on the DB layer. - FETCH_ASSOC = \Pdo::FETCH_ASSOC - FETCH_BOTH = \Pdo::FETCH_BOTH - FETCH_BOUND = \Pdo::FETCH_BOUND - FETCH_CLASS = \Pdo::FETCH_CLASS - FETCH_CLASSTYPE = \Pdo::FETCH_CLASSTYPE - FETCH_COLUMN = \Pdo::FETCH_COLUMN - FETCH_FUNC = \Pdo::FETCH_FUNC - FETCH_GROUP = \Pdo::FETCH_GROUP - FETCH_INTO = \Pdo::FETCH_INTO - FETCH_KEY_PAIR = \Pdo::FETCH_KEY_PAIR - FETCH_LAZY = \Pdo::FETCH_LAZY - FETCH_NAMED = \Pdo::FETCH_NAMED - FETCH_NUM = \Pdo::FETCH_NUM - FETCH_OBJ = \Pdo::FETCH_OBJ - FETCH_PROPS_LATE = \Pdo::FETCH_PROPS_LATE - FETCH_SERIALIZE = \Pdo::FETCH_SERIALIZE - FETCH_UNIQUE = \Pdo::FETCH_UNIQUE
Additional constants are available in the Phalcon\Db\Column object. This object is used to describe a column (or field) in a database table. These constants also define which types are supported by the ORM.
Bind Types
| Type | Description |
|---|---|
BIND_PARAM_BLOB | Blob |
BIND_PARAM_BOOL | Bool |
BIND_PARAM_DECIMAL | Decimal |
BIND_PARAM_INT | Integer |
BIND_PARAM_NULL | Null |
BIND_PARAM_STR | String |
BIND_SKIP | Skip binding |
Column Types
| Type | Description |
|---|---|
TYPE_BIGINTEGER | Big integer |
TYPE_BINARY | Binary |
TYPE_BIT | Bit |
TYPE_BLOB | Blob |
TYPE_BOOLEAN | Boolean |
TYPE_CHAR | Char |
TYPE_DATE | Date |
TYPE_DATETIME | Datetime |
TYPE_DECIMAL | Decimal |
TYPE_DOUBLE | Double |
TYPE_ENUM | Enum |
TYPE_FLOAT | Float |
TYPE_INTEGER | Integer |
TYPE_JSON | JSON |
TYPE_JSONB | JSONB |
TYPE_LONGBLOB | Long Blob |
TYPE_LONGTEXT | Long Text |
TYPE_MEDIUMBLOB | Medium Blob |
TYPE_MEDIUMINTEGER | Medium Integer |
TYPE_MEDIUMTEXT | Medium Text |
TYPE_SMALLINTEGER | Small Integer |
TYPE_TEXT | Text |
TYPE_TIME | Time |
TYPE_TIMESTAMP | Timestamp |
TYPE_TINYBLOB | Tiny Blob |
TYPE_TINYINTEGER | Tiny Integer |
TYPE_TINYTEXT | Tiny Text |
TYPE_UUID | UUID |
TYPE_VARBINARY | Varbinary |
TYPE_VARCHAR | Varchar |
TYPE_UUID maps to the PostgreSQL native uuid column type via Phalcon\Db\Adapter\Pdo\Postgresql and Phalcon\Db\Dialect\Postgresql. Other adapters fall back to a string representation.
PostgreSQL-specific Column Types
The constants below describe column types that only have a native definition in PostgreSQL. They are recognized by the Phalcon\Db\Dialect\Postgresql dialect; MySQL and SQLite dialects fall back to the VARCHAR default branch. Choose a portable base type if your schema targets multiple engines.
| Type | PostgreSQL keyword | Description |
|---|---|---|
TYPE_BYTEA | BYTEA | Variable-length binary data (PostgreSQL BLOB) |
TYPE_CIDR | CIDR | IPv4 / IPv6 network address |
TYPE_DATERANGE | DATERANGE | Range of dates |
TYPE_INET | INET | IPv4 / IPv6 host address |
TYPE_INT4RANGE | INT4RANGE | Range of integer values |
TYPE_INT8RANGE | INT8RANGE | Range of bigint values |
TYPE_MACADDR | MACADDR | MAC address |
TYPE_NUMRANGE | NUMRANGE | Range of numeric values |
TYPE_TSRANGE | TSRANGE | Range of timestamp without time zone |
TYPE_TSTZRANGE | TSTZRANGE | Range of timestamp with time zone |
Spatial Column Types
The constants below describe spatial types defined natively by MySQL (5.7+) and through the PostGIS extension on PostgreSQL. SQLite has no native spatial type and the SQLite dialect leaves these constants in the default branch.
| Type | DDL keyword | Description |
|---|---|---|
TYPE_GEOMETRY | GEOMETRY | Generic spatial value |
TYPE_GEOMETRYCOLLECTION | GEOMETRYCOLLECTION | Collection of spatial values |
TYPE_LINESTRING | LINESTRING | Single line as an ordered sequence of points |
TYPE_MULTILINESTRING | MULTILINESTRING | Collection of LINESTRING values |
TYPE_MULTIPOINT | MULTIPOINT | Collection of POINT values |
TYPE_MULTIPOLYGON | MULTIPOLYGON | Collection of POLYGON values |
TYPE_POINT | POINT | Single (x, y) point |
TYPE_POLYGON | POLYGON | Closed planar region |
NOTE
Selecting a spatial column with SELECT col FROM table returns the raw WKB byte string. Use ST_AsText(col) / ST_AsBinary(col) / ST_AsGeoJSON(col) (PostGIS) server-side to receive a human-readable representation.
NOTE
Depending on your RDBMS, certain types will not be available (e.g. JSON is not supported for Sqlite).
Methods¶
Adds a column to a table Adds an index to a tablepublic function addForeignKey(
string $tableName,
string $schemaName,
ReferenceInterface $reference
): bool
INSERT/UPDATE/DELETE reported by the database system Starts a transaction in the connection Closes active connection returning success. Phalcon automatically closes and destroys active connections Commits the active transaction in the connection This method is automatically called in Phalcon\Db\Adapter\Pdo\AbstractPdo constructor. Call it when you need to restore a database connection Creates a new savepoint Creates a table Creates a view public function delete(
mixed $table,
string $whereCondition = null,
array $placeholders = [],
array $dataTypes = []
): bool
public function dropForeignKey(
string $tableName,
string $schemaName,
string $referenceName
): bool
public function dropTable(
string $tableName,
string $schemaName = null,
bool $ifExists = true
): bool
public function dropView(
string $viewName,
string $schemaName = null,
bool $ifExists = true
): bool
public function execute(
string $sqlStatement,
array $bindParams = [],
array $bindTypes = []
): bool
public function fetchAll(
string $sqlQuery,
int $fetchMode = 2,
array $bindParams = [],
array $bindTypes = []
): array
public function fetchColumn(
string $sqlQuery,
array $placeholders = [],
mixed $column = 0
): string | bool
$invoicesCount = $connection
->fetchColumn('SELECT count(*) FROM co_invoices')
print_r($invoicesCount)
$invoice = $connection->fetchColumn(
'SELECT inv_id, inv_title
FROM co_invoices
ORDER BY inv_created_at DESC',
[],
1
)
print_r($invoice)
public function fetchOne(
string $sqlQuery,
int $fetchMode = 2,
array $bindParams = [],
array $bindTypes = []
): array
public function insert(
string $table,
array $values,
mixed $fields = null,
mixed $dataTypes = null
): bool
$success = $connection->insertAsDict(
'co_invoices',
[
'inv_cst_id' => 1,
'inv_title' => 'Invoice for ACME Inc.',
]
)
// SQL
// INSERT INTO `co_invoices`
// ( `inv_cst_id`, `inv_title` )
// VALUES
// ( 1, 'Invoice for ACME Inc.' )
public function modifyColumn(
string $tableName,
string $schemaName,
ColumnInterface $column,
ColumnInterface $currentColumn = null
): bool
public function query(
string $sqlStatement,
array $bindParams = [],
array $bindTypes = []
): ResultInterface | bool
public function setNestedTransactionsWithSavepoints(
bool $nestedTransactionsWithSavepoints
): AdapterInterface
schema.table Gets creation options from a table public function update(
string $table,
mixed $fields,
mixed $values,
mixed $whereCondition = null,
mixed $dataTypes = null
): bool
public function updateAsDict(
string $table,
mixed $data,
mixed $whereCondition = null,
mixed $dataTypes = null
): bool
$success = $connection->updateAsDict(
'co_invoices',
[
'inv_title' => 'Invoice for ACME Inc.',
],
'inv_id = 1'
)
// SQL
// UPDATE `co_invoices`
// SET `inv_title` = 'Invoice for ACME Inc.'
// WHERE inv_id = 1
Custom¶
The Phalcon\Db\AdapterInterface interface must be implemented to create your database adapters or extend the existing ones. Additionally, you can extend the Phalcon\Db\AbstractAdapter that already has some implementation for your custom adapter.
Escaping¶
Escaping identifiers is enabled by default. However, if you need to disable this feature, you can do so using the setup() method:
Factory¶
newInstance()¶
Although all adapter classes can be instantiated using the new keyword, Phalcon offers the Phalcon\Db\Adapter\PdoFactory class, so that you can easily instantiate PDO adapter instances. All the above adapters are registered in the factory and lazy loaded when called. The factory allows you to register additional (custom) adapter classes. The only thing to consider is choosing the name of the adapter in comparison to the existing ones. If you define the same name, you will overwrite the built-in one. The objects are cached in the factory so if you call the newInstance() method with the same parameters during the same request, you will get the same object back.
The reserved names are:
| Name | Adapter |
|---|---|
mysql | Phalcon\Db\Adapter\Pdo\Mysql |
postgresql | Phalcon\Db\Adapter\Pdo\Postgresql |
sqlite | Phalcon\Db\Adapter\Pdo\Sqlite |
The example below shows how you can create a MySQL adapter with the new keyword or the factory:
<?php
use Phalcon\Db\Adapter\Pdo\MySQL;
$connection = new MySQL(
[
'host' => 'localhost',
'username' => 'root',
'password' => '',
'dbname' => 'test',
]
);
<?php
use Phalcon\Db\Adapter\PdoFactory;
$factory = new PdoFactory();
$connection = $factory
->newInstance(
'mysql',
[
'host' => 'localhost',
'username' => 'root',
'password' => '',
'dbname' => 'test',
]
)
;
load()¶
You can also use the load() method to create an adapter using a configuration object or an array. The example below uses an ini file to instantiate the database connection using load(). The load() method accepts a Phalcon\Config\Config object or an array with two elements: the name of the adapter (adapter) and options for the adapter (options).
[database]
adapter = mysql
options.host = DATA_MYSQL_HOST
options.username = DATA_MYSQL_USER
options.password = DATA_MYSQL_PASS
options.dbname = DATA_MYSQL_NAME
options.port = DATA_MYSQL_PORT
options.charset = DATA_MYSQL_CHARSET
<?php
use Phalcon\Config\Adapter\Ini;
use Phalcon\Di\Di;
use Phalcon\Db\Adapter\PdoFactory;
$container = new Di();
$config = new Ini('config.ini');
$container->set('config', $config);
$container->set(
'db',
function () {
return (new PdoFactory())->load($this->config->database);
}
);
Dialects¶
Built In¶
Phalcon encapsulates the specific details of each database engine in dialects. Phalcon\Db\Dialect provides common functions and SQL generators to the adapters.
| Class | Description |
|---|---|
| Phalcon\Db\Dialect\Mysql | SQL specific dialect for MySQL database system |
| Phalcon\Db\Dialect\Postgresql | SQL specific dialect for PostgreSQL database system |
| Phalcon\Db\Dialect\Sqlite | SQL specific dialect for SQLite database system |
Custom¶
The Phalcon\Db\DialectInterface interface must be implemented to create your database dialects or extend the existing ones. You can also enhance your current dialect by adding more commands/methods that PHQL will understand. For instance, when using the MySQL adapter, you might want to allow PHQL to recognize the MATCH ... AGAINST ... syntax. We associate that syntax with MATCH_AGAINST
We instantiate the dialect. We add the custom function so that PHQL understands what to do when it finds it during the parsing process. In the example below, we register a new custom function called MATCH_AGAINST. After that, all we have to do is add the customized dialect object to our connection.
<?php
use Phalcon\Db\Dialect\MySQL as SqlDialect;
use Phalcon\Db\Adapter\Pdo\MySQL as Connection;
$dialect = new SqlDialect();
$dialect->registerCustomFunction(
'MATCH_AGAINST',
function ($dialect, $expression) {
$arguments = $expression['arguments'];
return sprintf(
' MATCH (%s) AGAINST (%s)',
$dialect->getSqlExpression($arguments[0]),
$dialect->getSqlExpression($arguments[1])
);
}
);
$connection = new Connection(
[
'host' => 'localhost',
'username' => 'root',
'password' => '',
'dbname' => 'test',
'dialectClass' => $dialect,
]
);
We can now use this new function in PHQL, which in turn will translate it to the proper SQL syntax:
<?php
$phql = '
SELECT *
FROM Invoices
WHERE MATCH_AGAINST(title, :pattern:)';
$posts = $modelsManager->executeQuery(
$phql,
[
'pattern' => $pattern,
]
);
NOTE
There are more examples of how to extend PHQL in the PHQL document.
Connect¶
To create a connection it's necessary to instantiate the adapter class. It only requires an array with the connection parameters. The example below shows how to create a connection passing both required and optional parameters:
| Adapter | Parameter | Status |
|---|---|---|
MySQL | host | required |
username | required | |
password | required | |
dbname | required | |
persistent | optional | |
PostgreSQL | host | required |
username | required | |
password | required | |
dbname | required | |
schema | optional | |
Sqlite | dbname | required |
Connecting to each adapter can be achieved by either the factory as demonstrated above or by passing the relevant options to the constructor of each class.
<?php
use Phalcon\Db\Adapter\Pdo\Mysql;
use Phalcon\Db\Adapter\Pdo\Postgresql;
use Phalcon\Db\Adapter\Pdo\Sqlite;
$config = [
'host' => '127.0.0.1',
'username' => 'mike',
'password' => 'sigma',
'dbname' => 'test_db',
];
$connection = new Mysql($config);
$config = [
'host' => 'localhost',
'username' => 'postgres',
'password' => 'secret1',
'dbname' => 'template',
];
$connection = new Postgresql($config);
$config = [
'dbname' => '/path/to/database.db',
];
$connection = new Sqlite($config);
Additional PDO options
You can set PDO options at connection time by passing the parameters options:
<?php
use Phalcon\Db\Adapter\Pdo\Mysql;
$connection = new Mysql(
[
'host' => 'localhost',
'username' => 'root',
'password' => 'sigma',
'dbname' => 'test_db',
'options' => [
PDO::MYSQL_ATTR_INIT_COMMAND => "SET NAMES 'UTF8'",
PDO::ATTR_CASE => PDO::CASE_LOWER,
]
]
);
Create¶
To insert a row in the database, you can use raw SQL or use the methods presented by the adapter:
<?php
$sql = "
INSERT INTO `co_invoices`
( `inv_cst_id`, `inv_title` )
VALUES
( 1, 'Invoice for ACME Inc.' )
";
$success = $connection->execute($sql);
<?php
$sql = '
INSERT INTO `co_invoices`
( `inv_cst_id`, `inv_title` )
VALUES
( ?, ? )
';
$success = $connection->execute(
$sql,
[
1,
'Invoice for ACME Inc.',
]
);
<?php
$success = $connection->insert(
'co_invoices',
[
1,
'Invoice for ACME Inc.',
],
[
'inv_cst_id',
'inv_title',
]
);
<?php
$success = $connection->insertAsDict(
'co_invoices',
[
'inv_cst_id' => 1,
'inv_title' => 'Invoice for ACME Inc.',
]
);
Update¶
To update a row in the database, you can use raw SQL or use the methods presented by the adapter:
<?php
$sql = "
UPDATE
`co_invoices`
SET
`inv_cst_id`= 1,
`inv_title` = 'Invoice for ACME Inc.'
WHERE
`inv_id` = 4
";
$success = $connection->execute($sql);
<?php
$sql = "
UPDATE
`co_invoices`
SET
`inv_cst_id`= ?,
`inv_title` = ?
WHERE
`inv_id` = ?
";
$success = $connection->execute(
$sql,
[
1,
'Invoice for ACME Inc.',
4,
]
);
<?php
$success = $connection->update(
'co_invoices',
[
'inv_cst_id',
'inv_title',
],
[
1,
'Invoice for ACME Inc.',
],
'inv_id = 4'
);
DANGER
With the syntax above, the variables for the where part of the update (inv_id = 4) are not escaped!
<?php
$success = $connection->updateAsDict(
'co_invoices',
[
'inv_cst_id' => 1,
'inv_title' => 'Invoice for ACME Inc.',
],
'inv_id = 4'
);
DANGER
With the syntax above, the variables for the where part of the update (inv_id = 4) are not escaped!
<?php
$success = $connection->update(
'co_invoices',
[
'inv_cst_id',
'inv_title',
],
[
1,
'Invoice for ACME Inc.',
],
[
'conditions' => 'id = ?',
'bind' => [
4
],
'bindTypes' => [
\PDO::PARAM_INT
],
]
);
<?php
$success = $connection->updateAsDict(
'co_invoices',
[
'inv_cst_id' => 1,
'inv_title' => 'Invoice for ACME Inc.',
],
[
'conditions' => 'id = ?',
'bind' => [
4
],
'bindTypes' => [
\PDO::PARAM_INT
],
]
);
Delete¶
Raw SQL<?php
$sql = '
DELETE
`co_invoices`
WHERE
`inv_id` = ?
';
$success = $connection->execute(
$sql,
[
4
]
);
Parameters¶
The Phalcon\Db adapters provide several methods to query rows from tables. The specific SQL syntax of the target database engine is required in this case:
<?php
$sql = '
SELECT
inv_id,
inv_title
FROM
co_invoices
ORDER BY
inv_created_at
';
$result = $connection->query($sql);
while ($invoice = $result->fetch()) {
echo $invoice['inv_title'];
}
$invoices = $connection->fetchAll($sql);
foreach ($invoices as $invoice) {
echo $invoice['inv_title'];
}
$invoice = $connection->fetchOne($sql);
By default, these calls create arrays with both associative and numeric indexes. For methods like fetchArray(), fetch() and dataSeek() you can change this behavior by using Phalcon\Db\Result::setFetchMode(). For methods like fetchAll() or fetchOne() you can use the $fetchMode argument.
The fetchMode receives a constant, defining which kind of index is required.
| Constant | Description |
|---|---|
Phalcon\Db\Enum::FETCH_NUM | Return an array with numeric indexes |
Phalcon\Db\Enum::FETCH_ASSOC | Return an array with associative indexes |
Phalcon\Db\Enum::FETCH_BOTH | Return an array with both associative and numeric indexes |
Phalcon\Db\Enum::FETCH_GROUP | Return an array of grouped associative and numeric indexes |
Phalcon\Db\Enum::FETCH_OBJ | Return an object instead of an array |
Phalcon\Db\Enum::FETCH_COLUMN | Returns a string for single row or array multiple rows |
There are many other constants that can be used similar to PDO:FETCH_* constants
<?php
$sql = '
SELECT
inv_id,
inv_title
FROM
co_invoices
ORDER BY
inv_created_at
';
$result = $connection->query($sql);
$result->setFetchMode(
Phalcon\Db\Enum::FETCH_NUM
);
while ($invoice = $result->fetch()) {
echo $invoice[0];
}
$invoices = $connection->fetchAll($sql, Phalcon\Db\Enum::FETCH_ASSOC);
// or using the previous query() method
$invoices = $result->fetchAll(Phalcon\Db\Enum::FETCH_ASSOC)
foreach ($invoices as $invoice) {
echo $invoice['inv_title'];
}
$invoice = $connection->fetchOne($sql, Phalcon\Db\Enum::FETCH_ASSOC);
The query() method returns an instance of Phalcon\Db\Result\Pdo. These objects encapsulate all the functionality related to the returned resultset i.e. traversing, seeking specific records, count etc.
<?php
$sql = '
SELECT
inv_id,
inv_title
FROM
co_invoices
ORDER BY
inv_created_at
';
$result = $connection->query($sql);
while ($invoice = $result->fetch()) {
echo $invoice['name'];
}
$result->seek(2);
$invoice = $result->fetch();
echo $result->numRows();
Binding¶
Bound parameters are also supported. Although there is a minimal performance impact by using bound parameters, you are highly encouraged to use this methodology to eliminate the possibility of your code being subject to SQL injection attacks. Both string and positional placeholders are supported.
<?php
$sql = '
SELECT
inv_id,
inv_title
FROM
co_invoices
WHERE
inv_cst_id = ?
ORDER BY
inv_created_at
';
$result = $connection->query(
$sql,
[
4,
]
);
<?php
$sql = "
UPDATE
`co_invoices`
SET
`inv_cst_id`= :cstId,
`inv_title` = :title
WHERE
`inv_id` = :id
";
$success = $connection->query(
$sql,
[
'cstId' => 1,
'title' => 'Invoice for ACME Inc.',
'id' => 4,
]
);
When using numeric placeholders, you will need to define them as integers i.e. 1 or 2. In this case '1' or '2' are considered strings and not numbers, so the placeholder could not be successfully replaced. With any adapter, data are automatically escaped using PDO Quote. This function takes into account the connection charset, therefore it is recommended to define the correct charset in the connection parameters or your database server configuration, as a wrong charset will produce undesired effects when storing or retrieving data.
Also, you can pass your parameters directly to the execute or query methods. In this case bound parameters are directly passed to PDO:
<?php
$sql = '
SELECT
inv_id,
inv_title
FROM
co_invoices
WHERE
inv_cst_id = ?
ORDER BY
inv_created_at
';
$result = $connection->query(
$sql,
[
1 => 4,
]
);
Typed¶
Placeholders allowed you to bind parameters to avoid SQL injections:
<?php
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
WHERE
inv_cst_id = :customerId:
ORDER BY
inv_created_at
';
$invoices = $this
->modelsManager
->executeQuery(
$phql,
[
'customerId' => 4,
]
)
;
However, some database systems require additional actions when using placeholders such as specifying the type of the bound parameter:
<?php
use Phalcon\Db\Column;
// ...
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
WHERE
inv_cst_id = :customerId:
ORDER BY
inv_created_at
';
$invoices = $this
->modelsManager
->executeQuery(
$phql,
[
'customerId' => 4,
],
Column::BIND_PARAM_INT
)
;
You can use typed placeholders in your parameters, instead of specifying the bind type in executeQuery():
<?php
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
WHERE
inv_cst_id = {customerId:int}
ORDER BY
inv_created_at
';
$invoices = $this
->modelsManager
->executeQuery(
$phql,
[
'customerId' => 4,
],
)
;
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
WHERE
inv_title <> {title:str}
ORDER BY
inv_created_at
';
$invoices = $this
->modelsManager
->executeQuery(
$phql,
[
'title' => 'Invoice for ACME Inc',
],
)
;
You can also omit the type if you do not need to specify it:
<?php
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
WHERE
inv_cst_id = {customerId}
ORDER BY
inv_created_at
';
$invoices = $this
->modelsManager
->executeQuery(
$phql,
[
'customerId' => 4,
],
)
;
Typed placeholders are also more powerful since we can now bind a static array without having to pass each element independently as a placeholder:
<?php
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
WHERE
inv_cst_id IN ({ids:array})
ORDER BY
inv_created_at
';
$invoices = $this
->modelsManager
->executeQuery(
$phql,
[
'ids' => [1, 3, 5],
],
)
;
The following types are available:
| Bind Type | Bind Type Constant | Example |
|---|---|---|
| str | Column::BIND_PARAM_STR | {name:str} |
| int | Column::BIND_PARAM_INT | {number:int} |
| double | Column::BIND_PARAM_DECIMAL | {price:double} |
| bool | Column::BIND_PARAM_BOOL | {enabled:bool} |
| blob | Column::BIND_PARAM_BLOB | {image:blob} |
| null | Column::BIND_PARAM_NULL | {exists:null} |
| array | Array of Column::BIND_PARAM_STR | {codes:array} |
| array-str | Array of Column::BIND_PARAM_STR | {names:array-str} |
| array-int | Array of Column::BIND_PARAM_INT | {flags:array-int} |
Cast¶
By default, bound parameters are not cast in the PHP userland to the specified bind types. This option allows you to make Phalcon cast values before binding them with PDO. A common scenario is when passing a string to a LIMIT/OFFSET placeholder:
<?php
$number = '100';
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
LIMIT
{number:int}
';
$invoices = $modelsManager->executeQuery(
$phql,
[
'number' => $number,
]
);
This causes the following exception:
Fatal error: Uncaught exception 'PDOException' with message
'SQLSTATE[42000]: Syntax error or access violation: 1064.
You have an error in your SQL syntax; check the manual that
corresponds to your MySQL server version for the right
syntax to use near ''100'' at line 1' in ....
This happens because '100' is a string variable. It is easily fixable by casting the value to an integer first:
<?php
$number = '100';
$phql = '
SELECT
inv_id,
inv_title
FROM
Invoices
LIMIT
{number:int}
';
$invoices = $modelsManager->executeQuery(
$phql,
[
'number' => (int) $number,
]
);
However, this solution requires that the developer pay special attention to how bound parameters are passed and their types. To make this task easier and avoid unexpected exceptions you can instruct Phalcon to do this casting for you:
The following actions are performed according to the bind type specified:
| Bind Type | Action |
|---|---|
Column::BIND_PARAM_STR | Cast the value as a native PHP string |
Column::BIND_PARAM_INT | Cast the value as a native PHP integer |
Column::BIND_PARAM_BOOL | Cast the value as a native PHP boolean |
Column::BIND_PARAM_DECIMAL | Cast the value as a native PHP double |
Hydration¶
Values returned from the database system are always represented as string values by PDO, no matter if the value belongs to a numeric or boolean type column. This happens because some column types cannot be represented with their corresponding PHP native types due to their size limitations. For instance, a BIGINT in MySQL can store large integer numbers that cannot be represented as a 32bit integer in PHP. Because of that, PDO and the ORM by default, make the safe decision of leaving all values as strings.
You can set up the ORM to automatically cast those types to their corresponding PHP native types:
This way you can use strict operators or make assumptions about the type of variables:
NOTE
If you wish to return the primary key when using the lastInsertId as an integer, you can use the castLastInsertIdToInt => true feature on the model.
Transactions¶
Working with transactions is supported the same way as with PDO. Using transactions increases performance in most database systems and also ensures data integrity:
<?php
try {
$connection->begin();
$connection->execute('DELETE `co_invoices` WHERE `inv_id` = 1');
$connection->execute('DELETE `co_invoices` WHERE `inv_id` = 2');
$connection->execute('DELETE `co_invoices` WHERE `inv_id` = 3');
$connection->commit();
} catch (Exception $e) {
$connection->rollback();
}
In addition to standard transactions, the adapters offer provides built-in support for nested transactions, if the database system used supports them. When you call begin() for a second time a nested transaction is created:
<?php
try {
$connection->begin();
$connection->execute('DELETE `co_invoices` WHERE `inv_id` = 1');
try {
$connection->begin();
$connection->execute('DELETE `co_invoices` WHERE `inv_id` = 2');
$connection->execute('DELETE `co_invoices` WHERE `inv_id` = 3');
$connection->commit();
} catch (Exception $e) {
$connection->rollback();
}
$connection->execute('DELETE `co_invoices` WHERE `inv_id` = 4');
$connection->commit();
} catch (Exception $e) {
$connection->rollback();
}
Events¶
The adapters also send events to an Events Manager if it is present. If an event returns false it can stop the current operation. The following events are supported:
| Event Name | Triggered | Can stop |
|---|---|---|
afterQuery | After a query is executed | No |
beforeQuery | Before a query is executed | Yes |
beginTransaction | Before a transaction starts | No |
createSavepoint | Before a savepoint is created | No |
commitTransaction | Before a transaction is committed | No |
releaseSavepoint | Before a savepoint is released | No |
rollbackTransaction | Before a transaction is rolled back | No |
rollbackSavepoint | Before a savepoint is rolled back | No |
If you bind an Events Manager to the database connection, all the events with the type db will be enabled and fired for the relevant listeners.
<?php
use Phalcon\Events\Manager;
use Phalcon\Db\Adapter\Pdo\Mysql;
$manager = new Manager();
$manager->attach('db', $listener);
$connection = new Mysql(
[
'host' => 'localhost',
'username' => 'root',
'password' => 'secret',
'dbname' => 'tutorial',
]
);
$connection->setEventsManager($manager);
You can use the power of these events to shield your application from dangerous SQL operations.
<?php
use Phalcon\Events\Event;
$manager->attach(
'db:beforeQuery',
function (Event $event, $connection) {
$sql = $connection->getSQLStatement();
if (true === preg_match('/DROP|ALTER/i', $sql)) {
return false;
}
return true;
}
);
Profiling¶
The adapter includes the Phalcon\Db\Profiler component, which is used to analyze the performance of database operations to diagnose performance problems and discover bottlenecks.
<?php
use Phalcon\Events\Event;
use Phalcon\Events\Manager;
use Phalcon\Db\Profiler;
$manager = new Manager();
$profiler = new Profiler();
$manager->attach(
'db',
function (Event $event, $connection) use ($profiler) {
if ($event->getType() === 'beforeQuery') {
$sql = $connection->getSQLStatement();
$profiler->startProfile($sql);
}
if ($event->getType() === 'afterQuery') {
$profiler->stopProfile();
}
}
);
$connection->setEventsManager($manager);
$sql = '
SELECT
inv_id,
inv_title
FROM
co_invoices
';
$connection->query($sql);
$profile = $profiler->getLastProfile();
echo 'SQL Statement: ', $profile->getSQLStatement(), PHP_EOL,
'Start Time: ', $profile->getInitialTime(), PHP_EOL,
'Final Time: ', $profile->getFinalTime(), PHP_EOL,
'Total Elapsed Time: ', $profile->getTotalElapsedSeconds(), PHP_EOL;
The profiler exposes the getProfiles() method, returning an array of Phalcon\Db\Profiler\Item objects. Each object contains relevant statistics, including calculations for seconds, microseconds, and nanoseconds.
You can also create your profile class based on the Phalcon\Db\Profiler class to record real-time statistics of the statements that are sent to the database:
<?php
use Phalcon\Events\Manager;
use Phalcon\Db\Profiler;
use Phalcon\Db\Profiler\Item;
class DbProfiler extends Profiler
{
public function beforeStartProfile(Item $profile)
{
echo $profile->getSQLStatement();
}
public function afterEndProfile(Item $profile)
{
echo $profile->getTotalElapsedSeconds();
}
}
$manager = new Manager();
$listener = new DbProfiler();
$manager->attach('db', $listener);
Logging¶
Using high-level abstraction components such as the Phalcon\Db adapters to access the database, makes it difficult to understand which statements are sent to the database system. The Phalcon\Logger\Logger component interacts with the Phalcon\Db adapters offering logging capabilities on the database abstraction level.
<?php
use Phalcon\Events\Event;
use Phalcon\Events\Manager;
use Phalcon\Logger\Logger;
use Phalcon\Logger\Adapter\Stream;
$adapter = new Stream('/storage/logs/queries.log');
$logger = new Logger(
'messages',
[
'main' => $adapter,
]
);
$manager = new Manager();
$manager->attach(
'db:beforeQuery',
function (Event $event, $connection) use ($logger) {
$sql = $connection->getSQLStatement();
$logger->info(
sprintf(
'%s - [%s]',
$connection->getSQLStatement(),
json_encode($connection->getSQLVariables())
)
);
}
);
$connection->setEventsManager($manager);
$connection->insert(
'products',
[
'Hot pepper',
3.50,
],
[
'name',
'price',
]
);
$connection->insert(
'co_invoices',
[
1,
'Invoice for ACME Inc.',
],
[
'inv_cst_id',
'inv_title',
]
);
As above, the file /storage/logs/queries.log will contain something like this:
[2019-12-25 01:02:03][INFO] INSERT INTO `co_invoices`
SET (`inv_cst_id`, `inv_title`)
VALUES (1, 'Invoice for ACME Inc.')
The listener will also work with models and their operations. It will also include all bound parameters that the query uses at the end of the logged statement.
[2019-12-25 01:02:03][INFO] SELECT `co_customers`.`cst_id`,
...,
FROM `co_customers`
WHERE LOWER(`co_customers`.`cst_email`) = :cst_email
LIMIT :APL0 - [{"emp_email":"team@phalcon.ld","APL0":1}]
Tables¶
Describe¶
The Phalcon\Db adapters also provide methods to retrieve detailed information about tables and views:
phalcon_db database Check if there is a table called co_invoices in the database. <?php
$fields = $connection->describeColumns('co_invoices');
foreach ($fields as $field) {
echo 'Column Type: ', $field['Type'];
}
co_invoices table <?php
$indexes = $connection->describeIndexes('co_invoices');
foreach ($indexes as $index) {
print_r(
$index->getColumns()
);
}
co_invoices table <?php
$references = $connection->describeReferences('co_invoices');
foreach ($references as $reference) {
print_r(
$reference->getReferencedColumns()
);
}
A table description is very similar to the MySQL DESCRIBE command, it contains the following information:
| Field | Type | Key | Null |
|---|---|---|---|
| Field's name | Column Type | Is the column part of the primary key or an index? | Does the column allow null values? |
Methods to get information about views are also implemented for every supported database system:
Get views on thephalcon_db database Check if there is a view vw_invoices in the database Create¶
Different database systems (MySQL, Postgresql, etc.) offer the ability to create, alter or drop tables with the use of commands such as CREATE, ALTER, or DROP. The SQL syntax differs based on which database system is used. Phalcon\Db adapters offer a unified interface to alter tables, without the need to differentiate the SQL syntax based on the target storage system.
An example of how to create a table is shown below:
<?php
use \Phalcon\Db\Column as Column;
$connection->createTable(
'co_invoices',
null,
[
'columns' => [
new Column(
'inv_id',
[
'type' => Column::TYPE_INTEGER,
'size' => 10,
'notNull' => true,
'autoIncrement' => true,
'primary' => true,
]
),
new Column(
'inv_cst_id',
[
'type' => Column::TYPE_INTEGER,
'size' => 11,
'notNull' => true,
]
),
new Column(
'inv_title',
[
'type' => Column::TYPE_VARCHAR,
'size' => 100,
'notNull' => true,
]
),
]
]
);
The createTable method accepts an associative array describing the table. Columns are defined with the class Phalcon\Db\Column. The table below shows the options available to define a column:
| Option | Description | Optional |
|---|---|---|
after | Column must be placed after indicated column | Yes |
array | true marks a PostgreSQL array column (e.g. INTEGER[]). MySQL and SQLite ignore the flag | Yes |
autoIncrement | Set whether this column will be auto-incremented by the database. Only one column in the table can have this attribute | Yes |
bind | One of the BIND_TYPE_* constants telling how the column must be bound before saving it | Yes |
comment | Column comment string (rendered as a COMMENT clause on MySQL and COMMENT ON COLUMN on PostgreSQL) | Yes |
default | Default value. Accepts a scalar (quoted), 'CURRENT_TIMESTAMP' / 'NULL' keywords (unquoted), or a Phalcon\Db\RawValue instance (emitted verbatim — see Default value expressions) | Yes |
first | Column must be placed at first position in the column order | Yes |
generated | SQL expression for a generated/computed column. When set, default and autoIncrement are not allowed | Yes |
generationStored | true emits STORED, false (default) emits VIRTUAL. Only meaningful with generated. PostgreSQL always emits STORED | Yes |
invisible | true declares an INVISIBLE column (MySQL 8.0.23+). PostgreSQL and SQLite ignore the flag | Yes |
notNull | Column can store null values | Yes |
primary | true if the column is part of the table's primary key | Yes |
scale | DECIMAL or NUMBER columns maybe have a scale to specify how many decimals should be stored | Yes |
size | Some types of columns like VARCHAR or INTEGER may have a specific size | Yes |
type | Column type. Must be a Phalcon\Db\Column constant (see below for a list) | No |
unsigned | INTEGER columns may be signed or unsigned. This option does not apply to other types of columns | Yes |
The following database column types are supported by the adapters:
Phalcon\Db\Column::TYPE_INTEGERPhalcon\Db\Column::TYPE_DATEPhalcon\Db\Column::TYPE_VARCHARPhalcon\Db\Column::TYPE_DECIMALPhalcon\Db\Column::TYPE_DATETIMEPhalcon\Db\Column::TYPE_CHARPhalcon\Db\Column::TYPE_TEXT
The associative array passed in createTable() can have the following keys:
| Index | Description | Optional |
|---|---|---|
columns | An array with columns defined with Phalcon\Db\Column | No |
indexes | An array with indexes defined with Phalcon\Db\Index | Yes |
references | An array with references (foreign keys) defined with Phalcon\Db\Reference | Yes |
checks | An array with CHECK constraints defined with Phalcon\Db\Check — see CHECK constraints | Yes |
options | An array with creation options. (specific to the database system) | Yes |
Alter¶
As your application grows, you might need to alter your database, as part of a refactoring or adding new features. Not all database systems allow you to modify existing columns or add columns between two existing ones. Phalcon\Db is limited by these constraints.
<?php
use Phalcon\Db\Column as Column;
$connection->addColumn(
'co_invoices',
null,
new Column(
'inv_status_flag',
[
'type' => Column::TYPE_INTEGER,
'size' => 1,
'notNull' => true,
'default' => 0,
'after' => 'inv_cst_id',
]
)
);
$connection->modifyColumn(
'co_invoices',
null,
new Column(
'inv_status_flag',
[
'type' => Column::TYPE_INTEGER,
'size' => 2,
'notNull' => true,
]
)
);
$connection->dropColumn(
'co_invoices',
null,
'inv_status_flag'
);
Drop¶
To drop an existing table from the current database, use the dropTable method. To drop a table from a custom database, you can use the second parameter to set the database name.
co_invoices from the active database Drop the table co_invoices from the database phalcon_db Modern Database Features¶
The following sections document column, index, and query features available across MySQL, PostgreSQL, and SQLite. Each subsection lists the engines that support the feature and the API surface used to drive it from Phalcon\Db.
Generated Columns¶
A generated (computed) column derives its value from an SQL expression evaluated on every row.
- MySQL 5.7+ supports both
VIRTUALandSTOREDgenerated columns - PostgreSQL 12+ supports only
STOREDgenerated columns - SQLite 3.31+ supports both
VIRTUALandSTOREDgenerated columns
Use the generated key on the column definition to provide the SQL expression; use generationStored to choose storage:
<?php
use Phalcon\Db\Column;
$total = new Column(
'line_total',
[
'type' => Column::TYPE_DECIMAL,
'size' => 10,
'scale' => 2,
'generated' => 'unit_price * quantity',
'generationStored' => true, // false (default) emits VIRTUAL
'notNull' => true,
]
);
$connection->addColumn('invoice_lines', null, $total);
The dialect emits:
ALTER TABLE `invoice_lines` ADD `line_total` DECIMAL(10,2)
GENERATED ALWAYS AS (unit_price * quantity) STORED NOT NULL
A Phalcon\Db\Column with generated set rejects default and autoIncrement — both throw Phalcon\Db\Exception from the constructor because the underlying engines do not allow them on generated columns. Use Column::isGenerated(), Column::isGenerationStored(), and Column::getGenerationExpression() to inspect a column.
Phalcon\Db\Adapter\Pdo\Mysql::describeColumns() and Phalcon\Db\Adapter\Pdo\Postgresql::describeColumns() reverse-engineer the flag and the expression. Phalcon\Db\Adapter\Pdo\Sqlite::describeColumns() reports only isGenerated() and isGenerationStored() — SQLite does not expose the expression through any pragma, so getGenerationExpression() round-trips as an empty string.
Default Value Expressions¶
Default values that are not plain scalars — for example MySQL 8.0.13+ DEFAULT (UUID()), PostgreSQL DEFAULT gen_random_uuid(), or SQLite 3.31+ DEFAULT strftime('%s','now') — must be wrapped in Phalcon\Db\RawValue so the dialect emits them verbatim instead of quoting:
<?php
use Phalcon\Db\Column;
use Phalcon\Db\RawValue;
$id = new Column(
'id',
[
'type' => Column::TYPE_CHAR,
'size' => 36,
'default' => new RawValue('gen_random_uuid()'), // PostgreSQL
'notNull' => true,
'primary' => true,
]
);
Plain scalar values, the keywords NULL / CURRENT_TIMESTAMP, and numeric values continue to behave as before. The RawValue path is required only when the default is an SQL expression.
Invisible Columns (MySQL 8.0.23+)¶
An INVISIBLE column is hidden from SELECT * expansion but can still be referenced explicitly. It is useful when phasing a legacy column out of read paths before dropping it.
<?php
use Phalcon\Db\Column;
$legacy = new Column(
'legacy_id',
[
'type' => Column::TYPE_INTEGER,
'size' => 11,
'notNull' => true,
'invisible' => true,
]
);
$connection->addColumn('robots', null, $legacy);
The MySQL dialect emits INVISIBLE immediately after the NOT NULL / NULL clause. PostgreSQL and SQLite have no equivalent concept and ignore the flag. Use Column::isInvisible() to inspect.
Array Columns (PostgreSQL)¶
PostgreSQL allows any base type to be declared as an array (e.g. INTEGER[], TEXT[], INET[]).
<?php
use Phalcon\Db\Column;
$tags = new Column(
'tags',
[
'type' => Column::TYPE_INTEGER,
'array' => true,
'notNull' => true,
]
);
$connection->addColumn('articles', null, $tags);
// ALTER TABLE "articles" ADD COLUMN "tags" INT[] NOT NULL
Column::isArray() reports the flag. MySQL and SQLite dialects ignore it. Phalcon\Db\Adapter\Pdo\Postgresql::describeColumns() reverse-engineers the flag when information_schema.columns.data_type reports ARRAY.
Spatial / Geometry Columns¶
Eight spatial types are exposed via dedicated Column::TYPE_* constants — see the Spatial Column Types table earlier in this document.
<?php
use Phalcon\Db\Column;
$location = new Column(
'location',
[
'type' => Column::TYPE_POINT,
'notNull' => true,
]
);
$connection->createTable(
'places',
null,
[
'columns' => [
new Column(
'id',
[
'type' => Column::TYPE_INTEGER,
'primary' => true,
'autoIncrement' => true,
'notNull' => true,
]
),
$location,
],
]
);
MySQL recognizes the keywords natively from 5.7. PostgreSQL needs the PostGIS extension installed. SQLite has no native spatial support and falls through to VARCHAR for these constants.
When selecting a spatial column directly, the underlying engine returns the raw WKB byte string. Project a server-side conversion in the SELECT to receive a usable representation:
CHECK Constraints¶
A CHECK constraint enforces a boolean SQL predicate on every row of a table; rows that fail the predicate are rejected at INSERT / UPDATE time.
- MySQL 8.0.16+ enforces CHECK constraints
- PostgreSQL has always enforced CHECK constraints
- SQLite has always enforced CHECK constraints
Use the Phalcon\Db\Check class. Its definition array accepts a single expression key (a non-empty SQL string):
<?php
use Phalcon\Db\Check;
use Phalcon\Db\Column;
$positivePrice = new Check(
'chk_price_positive',
[
'expression' => 'price > 0',
]
);
$connection->createTable(
'products',
null,
[
'columns' => [
new Column(
'id',
[
'type' => Column::TYPE_INTEGER,
'primary' => true,
'autoIncrement' => true,
'notNull' => true,
]
),
new Column(
'price',
[
'type' => Column::TYPE_DECIMAL,
'size' => 10,
'scale' => 2,
'notNull' => true,
]
),
],
'checks' => [$positivePrice],
]
);
The first argument is the constraint name. Pass an empty string for an anonymous check; the dialect omits the CONSTRAINT <name> prefix in that case.
CHECK constraints can also be added to or removed from an existing table on MySQL and PostgreSQL. SQLite cannot — its CHECK constraints can only be declared at CREATE TABLE time:
<?php
$connection->addCheck('products', null, $positivePrice);
$connection->dropCheck('products', null, 'chk_price_positive');
Reverse-engineering of CHECK constraints from information_schema.CHECK_CONSTRAINTS is not currently exposed through describeReferences() — the constraints exist on the table but are not enumerated by the adapter.
Advanced Index Features¶
Definition-Array Constructor¶
The Phalcon\Db\Index constructor now accepts either the legacy positional form or a definition-array form. The definition-array form is required to opt in to invisible / descending / partial / functional / concurrent indexes:
<?php
use Phalcon\Db\Index;
// Legacy positional form (unchanged)
$idxA = new Index('idx_email', ['email'], 'UNIQUE');
// Definition-array form
$idxB = new Index(
'idx_email',
[
'columns' => ['email'],
'type' => 'UNIQUE',
'invisible' => true, // MySQL 8.0+
'directions' => ['DESC'], // per-column ASC / DESC
'where' => 'active = true', // partial index, PgSQL + SQLite
'concurrently' => true, // PostgreSQL
]
);
Detection is based on the presence of a columns key in the second argument. When the definition form is used the third positional type argument is ignored — type is taken from the definition array.
The definition-array path throws Phalcon\Db\Exception if columns is not an array, if directions is not an array, or if where is not a string.
Invisible Indexes (MySQL 8.0+)¶
An invisible index is maintained by the engine but ignored by the query planner. Use it to validate that a table still performs adequately after a planned index drop without paying for the rebuild on rollback.
<?php
use Phalcon\Db\Index;
$idx = new Index(
'idx_hidden',
[
'columns' => ['email'],
'type' => 'UNIQUE',
'invisible' => true,
]
);
$connection->addIndex('robots', null, $idx);
// ALTER TABLE `robots` ADD UNIQUE INDEX `idx_hidden` (`email`) INVISIBLE
Index::isInvisible() reports the flag at runtime. Phalcon\Db\Adapter\Pdo\Mysql::describeIndexes() reverse-engineers it from the Visible column of SHOW INDEXES (MySQL 8.0+; absent on 5.7, which defaults to visible). PostgreSQL and SQLite ignore the flag.
Descending Indexes¶
Per-column ASC / DESC directions are declared with the directions key — a parallel array, one entry per column. Missing trailing positions default to ASC.
<?php
use Phalcon\Db\Index;
$idx = new Index(
'idx_recent_active',
[
'columns' => ['created_at', 'status'],
'directions' => ['DESC', 'ASC'],
]
);
$connection->addIndex('events', null, $idx);
// ALTER TABLE `events` ADD INDEX `idx_recent_active`
// (`created_at` DESC, `status` ASC)
Honored by MySQL 8.0+ (5.7 parsed DESC but ignored it at the optimizer level), PostgreSQL, and SQLite. Index::getDirections() returns the configured list; an empty array preserves the legacy plain (col1, col2) rendering.
Phalcon\Db\Adapter\Pdo\Mysql::describeIndexes() reverse-engineers directions from the Collation field of SHOW INDEXES (A=ASC, D=DESC). PostgreSQL and SQLite reverse-engineering of directions is deferred.
Partial Indexes¶
PostgreSQL and SQLite allow an index to be restricted to rows matching a predicate.
<?php
use Phalcon\Db\Index;
$idx = new Index(
'idx_active_users',
[
'columns' => ['email'],
'where' => 'active = true',
]
);
$connection->addIndex('users', null, $idx);
// CREATE INDEX "idx_active_users" ON "users" ("email") WHERE active = true
MySQL has no partial-index feature and its dialect silently drops the predicate.
Functional / Expression Indexes¶
Index entries may be plain column names (escaped as identifiers) or Phalcon\Db\RawValue instances (emitted verbatim). The two may be mixed within a single index:
<?php
use Phalcon\Db\Index;
use Phalcon\Db\RawValue;
$idx = new Index(
'idx_lower_email',
[
'columns' => [
'tenant_id',
new RawValue('LOWER(email)'),
],
]
);
$connection->addIndex('users', null, $idx);
The MySQL and PostgreSQL dialects wrap each expression entry in extra parentheses (KEY idx (\tenant_id`, (LOWER(email)))); SQLite emits the expression directly. Expressions compose withdirectionsandwhere` without any additional API surface.
Concurrent Index Creation (PostgreSQL)¶
CREATE INDEX CONCURRENTLY builds the index without taking the strong lock that normally blocks writers — useful when adding an index to a large table in production.
<?php
use Phalcon\Db\Index;
$idx = new Index(
'idx_orders_status',
[
'columns' => ['status'],
'concurrently' => true,
]
);
$connection->addIndex('orders', null, $idx);
// CREATE INDEX CONCURRENTLY "idx_orders_status" ON "orders" ("status")
MySQL and SQLite have no equivalent feature and silently ignore the flag.
Row Locking¶
The forUpdate() and sharedLock() SQL transformers accept an optional second argument that appends a row-lock disposition keyword. Use the constants on Phalcon\Contracts\Db\Dialect (also reachable as Phalcon\Db\Dialect::LOCK_* via inheritance):
| Constant | Keyword | Behavior |
|---|---|---|
Dialect::LOCK_NONE | '' (empty) | Default — no modifier |
Dialect::LOCK_NOWAIT | NOWAIT | Fail immediately if a needed row is locked |
Dialect::LOCK_SKIP_LOCKED | SKIP LOCKED | Skip already-locked rows |
NOWAIT and SKIP LOCKED are recognized by MySQL 8.0+ and PostgreSQL 9.5+. SQLite has no row-level locking and silently ignores the modifier. MySQL's legacy LOCK IN SHARE MODE syntax produced by sharedLock() does not accept these modifiers either; the MySQL sharedLock() accepts the second argument for signature parity but ignores it.
<?php
use Phalcon\Db\Dialect;
use Phalcon\Db\Enum;
$sql = "SELECT * FROM jobs WHERE state = 'queued' LIMIT 10";
// Pop a batch of jobs without contending with peer workers
$batch = $connection->fetchAll(
$connection->forUpdate($sql, Dialect::LOCK_SKIP_LOCKED)
);
// PostgreSQL — FOR SHARE NOWAIT
$rows = $connection->fetchAll(
$connection->sharedLock(
'SELECT * FROM accounts WHERE id = :id',
Dialect::LOCK_NOWAIT
),
Enum::FETCH_ASSOC,
['id' => 42]
);
sharedLock() emits:
- MySQL —
<sql> LOCK IN SHARE MODE(modifier ignored) - PostgreSQL —
<sql> FOR SHARE [NOWAIT|SKIP LOCKED] - SQLite —
<sql>unchanged
Upserts — ON CONFLICT DO UPDATE¶
PostgreSQL 9.5+ and SQLite 3.24+ accept the SQL-standard ON CONFLICT (col) DO UPDATE SET other = excluded.other upsert syntax. Use onConflictUpdate() on the dialect or adapter to append the clause to an existing INSERT statement:
<?php
$sql = "INSERT INTO products (sku, name, price) VALUES (?, ?, ?)";
$upsertSql = $connection->onConflictUpdate(
$sql,
['sku'], // conflict-target columns
['name', 'price'] // columns to overwrite with EXCLUDED.*
);
$connection->execute(
$upsertSql,
['SKU-001', 'Widget', 9.99]
);
// INSERT INTO products (sku, name, price) VALUES (?, ?, ?)
// ON CONFLICT ("sku") DO UPDATE SET
// "name" = excluded."name", "price" = excluded."price"
Phalcon\Db\Dialect\Mysql::onConflictUpdate() throws Phalcon\Db\Exception because MySQL's equivalent uses the incompatible INSERT ... ON DUPLICATE KEY UPDATE syntax. Use raw SQL on MySQL until a dedicated helper ships.
Passing an empty conflictColumns or updateColumns array throws.
RETURNING Clauses¶
PostgreSQL and SQLite 3.35+ allow INSERT / UPDATE / DELETE to return rows. returning() on the dialect or adapter appends the clause:
<?php
$sql = "INSERT INTO articles (slug, title) VALUES ('hello', 'Hello')";
// Specific columns
$withReturning = $connection->returning($sql, ['id', 'created_at']);
$row = $connection->fetchOne($withReturning);
// All columns
$withReturning = $connection->returning(
"UPDATE articles SET title = 'Updated' WHERE id = 42",
['*']
);
$row = $connection->fetchOne($withReturning);
Phalcon\Db\Dialect\Mysql::returning() throws (no RETURNING construct). An empty columns array throws on every dialect.
Materialized Views (PostgreSQL)¶
A materialized view caches the result of a query as a real table; you control when it is refreshed.
<?php
// Create
$connection->createMaterializedView(
'top_orders',
[
'sql' => 'SELECT customer_id, SUM(total) AS total
FROM orders
GROUP BY customer_id
ORDER BY total DESC
LIMIT 100',
],
'public'
);
// Refresh (concurrent = non-blocking; requires a unique index on the view)
$connection->refreshMaterializedView('top_orders', 'public', true);
// Drop
$connection->dropMaterializedView('top_orders', 'public');
The MySQL and SQLite dialects throw Phalcon\Db\Exception from each of the three methods — neither engine has a materialized-view concept.
SQLite DROP COLUMN¶
SQLite 3.35+ supports ALTER TABLE ... DROP COLUMN ... natively. Phalcon\Db\Dialect\Sqlite::dropColumn() now emits the statement (previously it threw unconditionally). On older SQLite versions the server itself rejects the statement at execution time.
<?php
$connection->dropColumn('events', null, 'legacy_payload');
// ALTER TABLE "events" DROP COLUMN "legacy_payload"
addPrimaryKey(), dropPrimaryKey(), modifyColumn(), addForeignKey(), dropForeignKey(), addCheck(), and dropCheck() continue to throw on SQLite because of genuine engine limitations (table rebuild required).
The Phalcon\Contracts\Db Namespace¶
The Db layer interfaces have been promoted to a new Phalcon\Contracts\Db namespace as part of an ongoing migration to a canonical contracts package. The new contracts are:
| Contract | Replaces |
|---|---|
Phalcon\Contracts\Db\Adapter\Adapter | Phalcon\Db\Adapter\AdapterInterface |
Phalcon\Contracts\Db\Check | Phalcon\Db\CheckInterface |
Phalcon\Contracts\Db\Column | Phalcon\Db\ColumnInterface |
Phalcon\Contracts\Db\Dialect | Phalcon\Db\DialectInterface |
Phalcon\Contracts\Db\Index | Phalcon\Db\IndexInterface |
Phalcon\Contracts\Db\Reference | Phalcon\Db\ReferenceInterface |
Phalcon\Contracts\Db\Result | Phalcon\Db\ResultInterface |
The legacy Phalcon\Db\*Interface types are kept as thin @deprecated extensions of the contracts so existing typehints (function fooBar(ColumnInterface $col)) and implementations (class MyColumn implements ColumnInterface) continue to work unchanged.
For new code prefer typehinting against the contracts:
<?php
use Phalcon\Contracts\Db\Column;
function describe(Column $column): string
{
return sprintf(
'%s (%s)',
$column->getName(),
$column->getType()
);
}
A small number of methods that landed in this release are intentionally not declared on the contracts in the v5 / v6 line — they would be a breaking change for third-party implementors. They are documented in the class-level @todo v7 block on each contract and are reachable on the concrete classes:
Phalcon\Db\Column:getGenerationExpression(),isArray(),isGenerated(),isGenerationStored(),isInvisible()Phalcon\Db\Index:getDirections(),getWhere(),isConcurrent(),isInvisible()Phalcon\Db\Check: provided by the new contract; no legacy concernPhalcon\Db\Dialect(and the three concrete dialect subclasses):addCheck(),dropCheck(),createMaterializedView(),dropMaterializedView(),refreshMaterializedView(),onConflictUpdate(),returning()Phalcon\Db\Adapter\AbstractAdapter: the same method set asPhalcon\Db\Dialect, returningboolfromaddCheck()/dropCheck()/ the materialized-view methods, andstringfrom the SQL-transformer methods (onConflictUpdate(),returning())
These will be promoted to required interface members in v7. Until then, call them on the concrete classes or typehint against the abstract Phalcon\Db\Dialect / Phalcon\Db\Adapter\AbstractAdapter types.