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Sql set values of one column equal to values of another column in the same table

sql
join
data-integrity
update-queries
Alex KataevbyAlex Kataev·Dec 27, 2024
TLDR

For a quick column synchronization, utilize the SQL UPDATE statement:

UPDATE table_name SET target_column = source_column;

Here, table_name is your actual table name, target_column is the column you're updating, and source_column is where the new values are coming from.

Handling nulls in the target column

To customize your update and only modify rows where the target_column is NULL, the syntax slightly changes:

UPDATE table_name SET target_column = source_column WHERE target_column IS NULL;

This essential tweak ensures the NULL gaps in the target_column are filled, leaving other existing data untouched.

Effective non-null updates using COALESCE

To guard against potentially overwriting valuable data in target_column, you could find the COALESCE function to be your next best friend:

UPDATE table_name SET target_column = COALESCE(target_column, source_column);

COALESCE sticks to the first non-null value it finds. So, target_column only gets updated if it holds a NULL.

Crucial precautionary measures

Before you venture into updating:

  • Ensure you have a backup of your table to circle back to in case of data mishaps.
  • To maintain data integrity, check that source_column doesn't contain any NULL values if NULL in target_column is unacceptable.
  • Consider wrapping your UPDATE commands within transactions for a managed execution:
START TRANSACTION; UPDATE table_name SET target_column = source_column; -- Verify the updates now, it's easier than explaining to your boss later COMMIT; -- All good? Let's celebrate ROLLBACK; -- Houston, we had a problem. But it's okay, we got backups.

Dealing with complex update conditions

Raising the bar with update complexities:

  • Conditional updates: Use the CASE statement or IF() function for small doses of complications:
UPDATE table_name SET target_column = CASE WHEN some_condition THEN source_column ELSE target_column END;
  • Foreign key constraints & triggers: Brush over any foreign key constraints or triggers that might be party-poopers to your update fiesta.
  • Joint updates: When updates depend on another table, flex your SQL muscles with an UPDATE JOIN combo:
UPDATE a SET a.target_column = b.source_column FROM table_name a JOIN another_table b ON a.join_key = b.join_key; --Joined at the hip

Upholding data integrity

Data safety sure can keep one up at night:

  • New table creation: As a safety net, craft a new table with tweaked values:
CREATE TABLE new_table AS SELECT *, COALESCE(target_column, source_column) AS new_target_column FROM table_name; --Voila, a new table is born.
  • Change auditing: For the meticulous, keep an alert eye on changes by noting down existing values before updating. Drop them into a temporary table or a sophisticated change tracking mechanism.