What is a common issue with using "ends with" filtering conditions in queries?

Using "ends with" filtering conditions in queries is commonly associated with performance concerns. Specifically, this type of filtering requires the database to evaluate each entry in the column being queried to determine if it matches the specified condition. Unlike "starts with" conditions, which can leverage indexing for more efficient lookups, "ends with" conditions generally do not benefit from indexes in the same way.

As a result, when a query utilizes "ends with," the database often resorts to a full table scan, checking each record individually. This process can significantly slow down query performance, particularly if the dataset is large, because it increases the amount of work the database has to do to return the desired results. This is a key reason why selecting filtering conditions thoughtfully is important for query efficiency and performance.