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🍎 Simple PHP class for doing standard MySQL actions, such as select, insert, update and delete rows.

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Database.php

Database.php is a simple PHP class for doing standard MySQL actions, such as selecting, inserting, updating and deleting database rows. It also includes some nice functionality, like auto-escaping to protect your database from malicious code and automatic serializing of arrays.

Usage

Initiating

Initiate a database connection using by creating a new Database() object.

require_once('Database.php');

$db = new Database($database_name, $username, $password, $host); // $host is optional and defaults to 'localhost'

Select

Select rows from a database table

Usage:

$db->select($table, $where, $limit, $order, $where_mode, $select_fields)

Arguments:

  • string $table - name of the table to select from
  • array/string $where - array or string holding the filters/'WHERE' clause for the query
  • int/string $limit - integer or string holding the 'LIMIT' clause
  • string $order - string holding the 'ORDER BY' clause
  • string $where_mode - whether to add an 'AND' or 'OR' after each item in the $where array, defaults to AND
  • string $select_fields - the fields to select (SELECT <$select_fields> FROM ...), defaults to *

Example:

// get the first 10 candy bars that are sweet, and order them by amount
$db->select('candy', ['sweet' => 1, 'spicy' => 0], 10, 'amount DESC');
// get the ids 1, 2,5,9  from products
$db->select('products', ['id' => 'in (1,2,5,9)'], false, false,'OR');

Reading results

Reading the results can be done with the following functions:

  • $db->count() returns the number of selected rows, equal to mysql_num_rows()

  • $db->result() returns all matches rows as an array containing row objects

  • $db->row() returns the first row that matches the query as an object

  • $db->result_array() returns all matches rows as an array containing row arrays

  • $db->row_array() returns the first row that matches the query as an array

Please note that you can call any of these functions also directly after the $db->select() call, like shown below:

echo $db->select('candy', ['sweet' => 1], 10)->count();

There are a few other methods available for queries that might come in handy:

  • $db->sql() returns the sql query that was last executed

Insert

Insert data into a database table

Usage:

$db->insert($table, $fields=[])

Example:

$db->insert(
	'candy', [
		'name' => 'Kitkat original',
		'sweet' => 1,
		'spicey' => 0,
		'brand' => 'Kitkat',
		'amount_per_pack' => 4
	]
);

Tip! You can call $db->id() immeadiately after a $db->insert() call to get the ID of the last inserted row.

Update

Update one or more rows of a database table

Usage:

$db->update($table, $fields=[], $where=[])

Example:

// set amount per pack to 5 for all Kitkats
$db->update(
	'candy', [
		// fields to be updated
		'amount_per_pack' => 5
	], [
		// 'WHERE' clause
		'brand' => 'Kitkat'
	]
);

Delete

Remove one or more rows from a database table

Usage:

$db->delete($table, $where=[])

Example:

// delete all Kitkat candy
$db->delete(
	'candy', [
		// 'WHERE' clause
		'brand' => 'Kitkat'
	]
);

Singleton

Access the database instance outside the global scope after initializing it

Usage:

$my_db = Database::instance();

Example:

// Global scope
$db = new Database($database_name, $username, $password, $host);

// Function scope
function something() {
    // We could simply use `global $db;`, but using globals is bad. Instead we can do this:
    $db = Database::instance();

    // And now we have access to $db inside the function
}

Make Sure

Your MySQL Server is well configured as you could encountered some errors with (very) long queries

Error (same in browser, cron or ssh):

Fatal error: Uncaught DatabaseException: Database error: MySQL server has gone away

You need to verify that wait_timeout & max_allowed_packet are sufficients for your needs:

cat /etc/my.cnf | grep wait_timeout
cat /etc/my.cnf | grep max_allowed_packet

If you can't access to those variables (ex. shared hosting) and/or can't ask for them to be modified, a possible workaround would be to limit the size of your queries or divide them.

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🍎 Simple PHP class for doing standard MySQL actions, such as select, insert, update and delete rows.

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