Updating two tables
Take care that fixing your fixes of fixes doesn't snowball and end up costing you more than fixing the root cause would have in the first place. The path of least resistance can be a slippery slope. Since random numbers are too important to be left to chance, let's generate some! So, one statement gives you: INSERT into 3 tables DELETE from 1 table, INSERT into 2UPDATE into 1, INSERT into 2MERGE into 1, INSERT into 2?
Take care that fixing your fixes of fixes doesn't snowball and end up costing you more than fixing the root cause would have in the first place. MERGE can also delete at the same time too can't it?
INDEXing a poor-performing query is like putting sugar on cat food. Understanding and using APPLY, (I) and (II) Paul White Hidden RBAR: Triangular Joins / The "Numbers" or "Tally" Table: What it is and how it replaces a loop Jeff Moden Exploring Recursive CTEs by Example Dwain Camps Yeah, so now what I haven't tested it with is: Since you can use both OUTPUT and OUTPUT INTO within the same INSERT, UPDATE, DELETE or MERGE, can you also then use this OUTPUT as composable DML to INSERT into another table.
Id = 1On the above query i want to update columns of both table........ Id = 1) d SELECT * FROM ABCSELECT * FROM ABC1For fast, accurate and documented assistance in answering your questions, please read this article.
There are some questions where the answer is no and that is totally fine.
I often get asked that as it is possible to select two or more tables in a single SELECT statement, is it possible to UPDATE more than one table in a single table.
Well, how about this: join them based on their ordernums to a table that is already collated!
This is where you could use the util.numbers table.
Most of the time when I ask more details about the need of this particular need, the usual answer I get is that the user wants to perform two or more updates together in such a way that when success they both gets committed together or fails together.
This is the case of a simple task like updating two related tables with just one SQL query. The first contains user names, and the second email addresses related to the first table names.
First table ("names") Well, there is an immediate advantage in performing just a single SQL query instead of two, and I believe it is quite clear: the server will have a lighter work load.
In this article, we are going to look at four scenarios for Oracle cross table update. Category_ID) where exists ( select * from Categories b where b. These columns uniquely identify a record in a table.
Suppose we have two tables Categories and Categories_Test. The common column in the two tables is CATEGORY_ID. Please note that query below is used for illustration purpose because Category_ID alone is primary key.