Sql Update to the SUM of its joined values
To update a column with the cumulative values from another table, we apply a subquery with INNER JOIN, akin to a swift surgery performed with a scalpel:
Note: Here 'main' is your patient table, 'total' is the target column, 'details' is the store of values, and 'main_id' is your trusty scalpel, carving out the relationship between data points.
Dissecting Subqueries and Aggregates
Ever tried putting a square peg in a round hole? That's what embedding aggregates like SUM()
in a SET
clause feels like to SQL. We use a subquery as a buffer to accommodate this discrepancy.
Aggregate Functions in Subqueries
SQL might respond to direct use of aggregate functions in a SET
clause like a teenager asked to clean their room – flat-out refuse. To circumvent this, we neatly wrap the aggregate function within a subquery:
Grouping – Divide and Conquer
Grouping is crucial to ensure we are not gluing the treasurer's accounts to your shopping list. So, we use GROUP BY
within the subquery to keep the finances separate:
CTEs – The VIP of SQL
For SQL queries equivalent to literary epics, Common Table Expressions (CTEs) offer a readable and efficient approach, almost like using bookmarks:
Note: Ensure your SQL Server version is in the CTE fanclub before joining.
Best Practices: SQL Do's and Don'ts
Here are a few pro-tips to avoid turning an SQL operation into a classic 'Oops!' moment.
Key Matching - Don't Mix Apples and Oranges
Ensure you're matching the keys accurately in your JOIN condition. A mistake here can cause more chaos than mixing up identical twins:
Update Preview – Window Shopping Before Purchase
Before diving headfirst into the UPDATE
, ensure it's the change you want. How? By previewing the results with a similar SELECT
statement, like trying on clothes before purchasing:
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