I have a PHP/jQuery/AJAX/MySQL app built for managing databases. I want to implement the ability to prevent multiple users from editing the same database row at the same time.
I'm just not sure which is the best. Assuming between 10 - 15 concurrent users
Answers. You need to write SQL that prevents that. You can go fancy and create a que that syncs data or you can use concurrency that prevents record updating on records that have been modified by someone else in the same time that you were changing the same record.
There are two general approaches-- optimistic and pessimistic locking.
Optimistic locking is generally much easier to implement in a web-based environment because it is fundamentally stateless. It scales much better as well. The downside is that it assumes that your users generally won't be trying to edit the same set of rows at the same time. For most applications, that's a very reasonable assumption but you'd have to verify that your application isn't one of the outliers where users would regularly be stepping on each other's toes. In optimistic locking, you would have some sort of last_modified_timestamp
column that you would SELECT
when a user fetched the data and then use in the WHERE
clause when you go to update the date, i.e.
UPDATE table_name
SET col1 = <<new value>>,
col2 = <<new values>>,
last_modified_timestamp = <<new timestamp>>
WHERE primary_key = <<key column>>
AND last_modified_timestamp = <<last modified timestamp you originally queried>>
If that updates 1 row, you know you were successful. Otherwise, if it updates 0 rows, you know that someone else has modified the data in the interim and you can take some action (generally showing the user the new data and asking them if they want to overwrite but you can adopt other conflict resolution approaches).
Pessimistic locking is more challenging to implement particularly in a web-based application particularly when users can close their browser without logging out or where users may start editing some data and go to lunch before hitting Submit
. It makes it harder to scale and generally makes the application more difficult to administer. It's really only worth considering if users will regularly try to update the same rows or if updating a row takes a large amount of time for a user so it's worth letting them know up front that someone else has locked the row.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With