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Sql Delete Records within a specific Range

sql
data-recovery
sql-queries
database-management
Anton ShumikhinbyAnton Shumikhin·Oct 17, 2024
TLDR

To delete records in a range, use the following:

DELETE FROM table_name WHERE column_name BETWEEN min_value AND max_value;

For instance, to erase rows with id between 100 and 200:

DELETE FROM employees WHERE id BETWEEN 100 AND 200;

Always cross-check conditions to avoid regrettable data loss.

Nailing down the "WHERE" clause

Mastering the art of crafting precise conditions in your WHERE clause is a must in order not to become the “John Wick” of your database.

Exclusive range deletion looks like:

DELETE FROM customers WHERE id > 50 AND id < 150; -- bye bye rows 51 to 149

Remember, "WITH GREAT POWER comes GREAT RESPONSIBILITY", so choose your boundaries sensibly or else you might spook away data that was innocently sitting.

Tackling the "not so obvious"

SQL is a strange world with NULL values and non-numeric data types. Make sure the conditions you set are in line with the data types you’re dealing with.

Preview before the leap

Before pulling the trigger, take a peek at the target:

SELECT * FROM table_name WHERE column_name BETWEEN min_value AND max_value;

Safe trial runs

While rehearsing, wrap your statement in a transaction block and rollback if you don't like the view:

BEGIN TRANSACTION; DELETE FROM customers WHERE id BETWEEN 50 AND 150; -- Boom! Just kidding. Not yet. -- Evaluate the aftermath here ROLLBACK TRANSACTION; -- Time travel back to the starting point

Brace for impact

Have a good data recovery strategy to kick back after any unfortunate mass deletions. Implement a scheduled job or even trigger for logging deleted records. This Tabula Rasa move can then be Control Zed when required.

Handling history

Build a system to store historical data considering business needs and data retention requirements. Make sure to include the deletion context and timestamps.

Test before terror

Experiment with DELETE statements in an isolated environment whenever possible. You don't want to turn your production environment into a battlefield.

On point targeting

In SQL, ambiguity is a big no-no. Exact qualifiers are your ultimate weapon. A missing WHERE clause may turn your data set into The Thanos snap moment.