My goal is to create a MySQL table containing data from my CSV file. I know how to create a MySQL table and how to load data from excel in it.
But the problem is: I have a large CSV file containing long column names (questions labels for example "Q27 : Are you happy with the after sales service?") so it would be boring to create a MySQL table by copying all column names(almost 35) and add 'VARCHAR(100) NOT NULL'.
That's why I would like to write a small php script to create a MySQL table by getting the first row of my file, and then fill it with the rest of the csv file data.
For now, my script looks like this :
<?php
$host = 'localhost';
$user = 'root';
$pass = '';
$database = 'test';
$db = @mysql_connect($host, $user, $pass) or die('mysql connection pb');
@mysql_select_db($database) or die('database selection pb');
/********************************************************************************/
// Parameters: filename.csv table_name
$argv = $_SERVER['argv'];
if($argv[1]) { $file = $argv[1]; }
else {
echo "Please provide a file name\n"; exit;
}
if($argv[2]) {
$table = $argv[2];
}
else {
echo "Please provide a table name\n";
$table = pathinfo($file);
$table = $table['filename'];
}
/**************************************************************************** ****/
// Get the first row to create the column headings
$fp = fopen($file, 'r');
$frow = fgetcsv($fp,";");
$columns=false;
print_r($frow);
foreach($frow as $column) {
if($columns) $columns .= ', ';
$columns .= "`$column` VARCHAR(250) NOT NULL";
}
$create = "create table if not exists $table ($columns);";
@mysql_query($create, $db) or die('table creation pb');
/**************************************************************************** ****/
// Import the data into the newly created table.
$file = addslashes(realpath(dirname(__FILE__)).'\\'.$file);
$q = "load data infile '$file' into table $table fields terminated by ',' ignore 1 lines";
@mysql_query($q, $db);
?>
And when i run in command line : php myscript.php csvfile.csv mytable, it appears that the problem is in the table creation query. And on top of that the column names are not well identified even though they are separated by ";" in the csv.