Updating multiple tables in mssql Sexy webcam fun no sign up
We are going to update column DESCRIPTION and PICTURE in table Categories_Test by using data in table Categories, based on data in the common column CATEGORY_ID. Update data in a column in table A based on a common column in table B. Update data in two columns in table A based on a common column in table B. Conditionally update data in table A based on a common column in table B. No portion may be reproduced without my written permission.
The update query below shows that the PICTURE column is updated by looking up the same ID value in CATEGORY_ID column in table Categories_Test and Categories. If you need to update multiple columns simultaneously, use comma to separate each column after the SET keyword. Here we only want to update PICTURE column in Categories_Test table where the data in Category_Name column is Seafood in table Categories. Software and hardware names mentioned on this site are registered trademarks of their respective companies.
Cross table update (also known as correlated update, or multiple table update) in Oracle uses non-standard SQL syntax format (non ANSI standard) to update rows in another table. Update data in table A based on two or more common columns in table B.
You might wonder why on earth you’d want to make multiple updates in a single query.If you have a busy database it’s a good idea to do a LOCK TABLE query before the batch update though (and of course don’t forget to UNLOCK the table when done).Also after a few suggestions I got to a much faster version (read the comments below – Thanks, guys).So here’s the final CASE version: Although it doesn’t beat the speed of normal queries run in a row, it can still get close enough.Also, since many people asked why bother that much when you can just run the normal queries, you can consider this an experiment to find alternatives.