In the realm of web development, the need to import large database files while using shared hosting providers commonly arises. Unfortunately, accessing MySQL via the command line may be restricted, necessitating a PHP-based solution for parsing and executing queries.
To address this challenge, a robust function known as SplitSQL() has been developed to reliably split a database file into individual queries without consuming excessive memory.
SplitSQL() leverages a file-reading approach, iterating through the file line by line. It identifies queries by detecting the specified delimiter (; by default) at the end of a line. Once a complete query is assembled, it's executed immediately using mysql_query().
function SplitSQL($file, $delimiter = ';')
{
set_time_limit(0);
if (is_file($file) === true)
{
$file = fopen($file, 'r');
if (is_resource($file) === true)
{
$query = array();
while (feof($file) === false)
{
$query[] = fgets($file);
if (preg_match('~' . preg_quote($delimiter, '~') . '\s*$~iS', end($query)) === 1)
{
$query = trim(implode('', $query));
if (mysql_query($query) === false)
{
echo '<h3>ERROR: ' . $query . '</h3>' . "\n";
}
else
{
echo '<h3>SUCCESS: ' . $query . '</h3>' . "\n";
}
while (ob_get_level() > 0)
{
ob_end_flush();
}
flush();
}
if (is_string($query) === true)
{
$query = array();
}
}
return fclose($file);
}
}
return false;
}
// Test data
$file = '/path/to/db_dump.sql';
SplitSQL($file);
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