Q:

explode mysql string for $wpdb->insert

I'm trying to explode this string, so it can fit  "$wpdb->insert" function in wordpress.
this is the string to insert. The file contains about 42k strings like this:
(601, 'STANDARD', 'Adjuntas', '', 'Colinas Del Gigante, Jard De Adjuntas, Urb San Joaquin', 'PR', 'Adjuntas', 'America/Puerto_Rico', '787,939', '18.16', '-66.72', 'NA', 'US', 0, 0, ''),

this is the code
if ( file_exists(realpath(dirname(__FILE__)).'/install/usa_zip_codes.sql')){
                $filecontent = explode("\n",file_get_contents( realpath(dirname(__FILE__)).'/install/usa_zip_codes.sql'));
                foreach( $filecontent as $row){
                    $array = array();
                    $array = explode(", ", trim(preg_replace("/[()]/","",$row),","));
                    $wpdb->insert( 
                            $wpmyplugin_table['yp_usa_zip_codes'], 
                            array( 
                                    'zip' => $array[0], 
                                    'type' => trim($array[1],"'"),
                                    'primary_city' => trim($array[2],"'"),
                                    'acceptable_cities' => trim($array[3],"'"),
                                    'unacceptable_cities' => trim($array[4],"'"),
                                    'state' => trim($array[5],"'"),
                                   ....

but when i have strings like 'Colinas Del Gigante, Jard De Adjuntas, Urb San Joaquin', it will also split it to array elements. I've tried to explode by explode(", '", but this part , 0, 0, '' wont be split correctly. How do you deal with these things?

A:

Have a look at str_getcsv. You should be able to convert
(601, 'STANDARD', 'Adjuntas', '', 'Colinas Del Gigante, Jard De Adjuntas, Urb San Joaquin', 'PR', 'Adjuntas', 'America/Puerto_Rico', '787,939', '18.16', '-66.72', 'NA', 'US', 0, 0, ''),

Into:
601, 'STANDARD', 'Adjuntas', '', 'Colinas Del Gigante, Jard De Adjuntas, Urb San Joaquin', 'PR', 'Adjuntas', 'America/Puerto_Rico', '787,939', '18.16', '-66.72', 'NA', 'US', 0, 0, ''

str_getcsv can then be used to turn the above string into an array. This will ignore commas inside of values.

