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How to update a column using CASE statement?
UPDATE my_table SET my_column = CASE WHEN condition1 THEN expression1 WHEN condition2 THEN expression2 It is not a linked server and I haven’t tried to put 11 conditions in a CASE expression.
Is there a way to update both columns?
You could do this: This is semantically the same, but just bear in mind that both columns will always be updated. This probably won’t cause you any problems, but if you have a high transactional volume, then this could cause concurrency issues.
When to use conditional update statement in Excel?
The conditional update statement is used to change the data that satisfies the WHERE condition. However, for different scenarios, this constant value usage type cannot be enough for us, and we need to use other tables’ data in order to update our table.
Can a MERGE statement be used to update a reference table?
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.
Can a case expression be used in an UPDATE statement?
The CASE expression can also be used in an UPDATE statement. You are familiar with the UPDATE statement; it changes or updates existing column values. If you want to update records based on column values, you can do it with the CASE expression. Look at the following example:
How does case with data modifying statement work?
The CASE tests the value in the brand column and uses that to determine what to enter in the info column. If anything other than “Ford” or “Toyota” is stored in the brand column, a “-” string will be displayed into the info column for that record. Notice that the record for the Opel Astra doesn’t have anything in the info column.
When to use case statement in SQL Server?
I have SQL server Table in which there is column that I wanted to update according to a 2 columns value that are present in current row. In this scenario, we can use CASE expression.