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Is there a way to update multiple columns in SQL server the same way an insert statement is used? Connect item. If you need to re-type this several times, you can do like I did once. Then on the right of them in an independent column put the commas as designed. Then you will have to copy your values into the middle column each time then just paste then and run.
I'd like to share with you how I address this kind of question. My case is slightly different as the result of table2 is dynamic and the column numbers may be less than that of table1. But the concept is the same. Then write the update query using dynamic SQL. Sample code is written for testing 2 simple tables - tblA and tblB.
I did this in MySql and it updated multiple columns in a single record, so try this if you are using MySql as your server:. However, I was coding in vb. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Asked 9 years, 11 months ago. Collectives on Stack Overflow.
Learn more. Asked 7 years ago. Active 10 months ago. Viewed 6k times. Improve this question. JumpingJezza 5, 10 10 gold badges 62 62 silver badges bronze badges. Hotdin Gurning Hotdin Gurning 1, 2 2 gold badges 14 14 silver badges 24 24 bronze badges. Add a comment. Active Oldest Votes. The following execution plan is demonstrating an execution plan of the same query, but this query was completed within seconds because of the added index, unlike the first one.
We have seen this obvious performance difference between the same query because of index usage on the updated columns. As a result, if the updated columns are being used by the indexes, like this, for example, the query performance might be affected negatively. In particular, we should consider this problem if we will update a large number of rows.
To overcome this issue, we can disable or remove the index before executing the update query. On the other hand, a warning sign is seen on the Sort operator, and it indicates something does not go well for this operator.
When we hover the mouse over this operator, we can see the warning details. During the execution of the query, the query optimizer calculates a required memory consumption for the query based on the estimated row numbers and row size.
However, this consumption estimation can be wrong for a variety of reasons, and if the query requires more memory than the estimation, it uses the tempdb data. This mechanism is called a tempdb spill and causes performance loss. The reason for this: the memory always faster than the tempdb database because the tempdb database uses the disk resources.
Now, if we go back to our position, the MERGE statement can be used as an alternative method for updating data in a table with those in another table. In this method, the reference table can be thought of as a source table and the target table will be the table to be updated. The following query can be an example of this usage method.
We have typed the Persons table after the MERGE statement because it is our target table, which we want to update, and we gave Per alias to it in order to use the rest of the query. With the help of this syntax, the join condition is defined between the target and source table. In this last line of the query, we chose the manipulation method for the matched rows.
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