Mysql update all columns starting with same Name - php

Question

I have a dynamic table named 'products' with multiple Languages.
The table columns looks like this:
id, product_id, store_de, store_en, store_fr, store_es... etc
The languages can be more or less.
Now I want to update this table and set all columns beginning with "store_" to value 1.
I tried the following:
$stmt = $dbh->prepare( "UPDATE products SET `store_%` = ? WHERE product_id = ?" );
$stmt->execute( array( 1, $lastID ) );
I get following error message:
SQLSTATE[42S22]: Column not found: 1054 Unknown column 'store%' in
'field list'
Is there a way to update all columns beginning with 'store_' or do I have to list all the columns?
Based on the answer from jekaby here is the full solution that worked for me:
$get_stores = $dbh->prepare("SHOW COLUMNS FROM products_active WHERE field REGEXP '^store'");
$get_stores->execute();
$stores = $get_stores->fetchAll();
$update_string = "";
$first_store = true;
foreach($stores as $store) {
if(!$first_store) {
$update_string .= ", ";
} else {
$first_store = false;
}
$update_string .= $store['Field']." = '".$status."'";
}
$update_activity = $dbh->prepare("UPDATE products_active SET $update_string WHERE product_id = ?");
$update_activity->execute(array($product_id));

Answer 1

You need to set each column explicitly. SQL doesn't support wildcards for column names (with the exception of * for SELECT *):
update products
set store_de = 1,
store_en = 1,
store_fr = 1,
store_es = 1,
. . .
where product_id = ?;
Your data structure suggests that you really want a ProductStores table. This would have one row per language (?) and per product. It would have at least three columns:
ProductId
Language
Value
Then you would simply do:
update ProductStores
set Value = 1
where ProductId = ?;

Answer 2

You can not do like this store_% - it is nonexistent column in table as it is written in your error.
You should get all colums with names like /^store_/ (regexp). And than update all this fields having listed them.
mysql> SHOW COLUMNS FROM products where field REGEXP '^store_'
Than collect all fields from 'Field'... You can read more how to get all columns here.