I have a performance-related question. Let's say I have a user with first name Michael. Take the following query:
UPDATE users
SET first_name = 'Michael'
WHERE users.id = 123
Will the query actually execute the update, even though it is being updated to the same value? If so, how do I prevent it from happening?
Best Answer
Due to the MVCC model of Postgres, and according to the rules of SQL, an
UPDATE
writes a new row version for every row that is not excluded in theWHERE
clause.This does have a more or less substantial impact on performance, directly and indirectly. "Empty updates" have the same cost per row as any other update. They fire triggers (if present) like any other update, they have to be WAL-logged and they produce dead rows bloating the table and causing more work for
VACUUM
later like any other update.Index entries and TOASTed columns where none of the involved columns are changed can stay the same, but that is true for any updated row. Related:
It's almost always a good idea to exclude such empty updates (when there is an actual chance it may happen). You did not provide a table definition in your question. We have to assume
first_name
can be NULL (which wouldn't be surprising for a "first name"), hence the query has to use NULL-safe comparison:If
first_name IS NULL
before the update, a test with justfirst_name <> 'Michael'
would evaluate to NULL and as such exclude the row from the update. Sneaky error. If the column is definedNOT NULL
, use the simple equality check, though, that's a bit cheaper.Related: