Update replace statement sql




















Beth 9, 1 1 gold badge 20 20 silver badges 40 40 bronze badges. It does not replace anything because the wildcards are not treated as wildcards but rather as literals. Add a comment. Active Oldest Votes. Mauricio Gracia Gutierrez 8, 4 4 gold badges 55 55 silver badges 82 82 bronze badges.

Jon Egerton Jon Egerton It work grate, but not with ntext type This was helpful — Stanley Okpala Nwosa. This will not work if your Column type is Text or NText, see this answer stackoverflow. Robert Robert To make the query run faster in big tables where not every line needs to be updated, you can also choose to only update rows that will be modified: UPDATE dbo. Parfait Put your where statement in here. For anyone want to replace your script.

ManhNguyen ManhNguyen 1 1 silver badge 5 5 bronze badges. From review queue : May I request you to please add some context around your source-code. Code-only answers are difficult to understand.

It will help the asker and future readers both if you can add more information in your post. Mike Clark Mike Clark 1, 11 11 silver badges 21 21 bronze badges. Please explain how your answer solves the problem, it will help everyone understand your solution with more clarity and for future reference. Vasyl Senko 1, 18 18 silver badges 30 30 bronze badges. DotnetCoder DotnetCoder 13 1 1 silver badge 2 2 bronze badges. TblNews -- table name keyWords -- fild name.

The Overflow Blog. Replace in SQL is a built-in function that allows you to replace all the incidents of a substring within a specified string with a new substring. Thus, whenever you want to replace something like a dead link or a product name, the replace function is the way to go. The basic syntax of replace in SQL is:. Note: The strings that you include in the replace function are case-sensitive. Thus, always make sure to use the exact string that you want to search for and replace.

Start Learning. Hence, it will simply return the exact string without making any changes. In this article, you have seen some examples of using replace in SQL with literal strings.

However, in SQL, you will work with tables and databases. A real-world example can be managing the Customers' table of global clients. Thus, the mistakes in all the fields were quickly taken care of with a single line of command with the use of replace in SQL. However, this was a small table. But while working with large tables where the number of affected rows is more, it is essential to check if the function executes as expected.

Now that you know it works as expected, you can apply it to the entire table by removing the WHERE clause. If instead of using it as a string expression, you remove the inverted commas and give it as a column. Then it will work as expected.



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