«Php mysql if exists update else insert» in pictures.
- PHP array_key_exists() Function
- Save into a Local Database via PHP + MySQL [Tutorial] ‹ Support
- PHP: mysqli::$affected_rows - Manual
PHP array_key_exists() Function
MySQL does not support the Exist function so that approach is not available in this case. One way to address this would be to do an aggregate query and see if it returns a results eg:
Save into a Local Database via PHP + MySQL [Tutorial] ‹ Support
I've seen this question posed many times in the ASP Q& A Messageboard. Typically this is done to determine if a user name already exists, common to many login required sites. Many people query the database and then check the values against the returned values through a loop of some sort. If they don't find it, they then add the record.
PHP: mysqli::$affected_rows - Manual
Edit 7556-57-76 I forgot to cross-reference INSERT IF NOT EXISTS queries in MySQL, a related post where I explain some variations on a particular scenario – for example, where there is no unique index on the column you want to avoid duplicating, or you want to allow only n duplicates.
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First setion of the code is used to configure your feed settings these are specifically your API_Key and base url which are issued to you in your welcome pack. It is important to replace the example values given below with the details you’ve been given.
The array_key_exists() function checks an array for a specified key, and returns true if the key exists and false if the key does not exist.
You can write a procedure in MySQL command line tool or you can use MySQL workbench which is an excellent front-end tool (here we have used version CE).
Notice that we’re using normal UPDATE syntax (but excluding the unnecessary table name and SET keyword), and only assigning the non-UNIQUE values. Also, although unnecessary for the ON DUPLICATE KEY UPDATE method to function properly, we’ve also opted to utilize user variables so we don’t need to specify the actual values we want to INSERT or UPDATE more than once.
It’s not because there are more columns returned and therefore bytes per row (which is true, but has minimal effect for most queries based on normailsed tables)
I was reading one of your recent articles on 'Adding a record to a
database table if it doesn't exist' and I figured out another way to do it. I don't know if this will benefit you, but here is the SQL statement for you.
It checks the USERS table to see if a user name and password exist for a user, then it inserts the user name and password if the user doesn't exist. This might be useful as it works in MS Access. I believe your solution works in all other relational database systems other then MS Access.