How does Postgresql implement row locks and what are the performance impacts?

All we need is an easy explanation of the problem, so here it is.

I’m trying to understand how Postgresql under the hood is implementing a row lock so that I understand what resource implication this has.

If there are two database transactions. One of them has locked a row. The other database transaction is waiting to release the lock on that row. The transaction which is waiting for the release what resources will this consume?

Background: I would like to understand whether the waiting has a real impact on the resource consumption or whether such a lock situation provides just slow responses to the client.

How to solve :

I know you bored from this bug, So we are here to help you! Take a deep breath and look at the explanation of your problem. We have many solutions to this problem, But we recommend you to use the first method because it is tested & true method that will 100% work for you.

Method 1

The waiting session will hold on to all memory resources it’s acquired so far; it will consume very little CPU, sleeping while waiting on the lock; and no I/O.

Note: Use and implement method 1 because this method fully tested our system.
Thank you 🙂

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0

Leave a Reply