Can a database update with no data changes?
It is just that no data modification happens (which is still a good savings). As I stated above, you need to test on your system. Use the same research queries that Paul is using and see if you get the same results. I am seeing slightly different results on my system than what is shown in the article.
How many update hooks do I need for my database?
Starting with 00 that is good for 100 update hooks. If you don’t use the second digit for a major release version (makes sense using it only for deployment) then you have 1000 update hooks available before running out of numbers (until 7999).
How does hook _ update _ N work in database?
The single update code is wrapped in this sequential numbered function (hence the N) that is tracked in the database to avoid execution if already performed. As said, this is the way to “push” configuration to your production site without overwriting modifications on the live site on a next deploy (as opposed to Features).
When to update a table with no change?
If the operations in which the new value is the same as the current value (i.e. no update) out number the operations in which the new value is different and the update is necessary, then the following pattern might prove to be even better, especially if there is a lot of contention on the table.
How to perform data operations in Logic App?
Data operations are available only as actions, so before you can use these actions, start your logic app with a trigger and include any other actions required for creating the outputs you want.
When to check update performance where no data changes?
If I have an UPDATE statement that does not actually change any data (because the data is already in the updated state), is there any performance benefit in putting a check in the where clause to prevent the update? There certainly could be as there is a slight performance difference due to UPDATE 1:
What happens when there is no update to a heap?
Non-updating updates to a heap therefore generally avoid the extra logging and flushing (but see below). Both heaps and clustered tables will suffer the extra logging and flushing for any row where a LOB column containing more than 8000 bytes of data is updated to the same value using any syntax other than ‘SET column_name = column_name’.