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Performance of Cross join with WHERE clause compared to Inner join

sql
performance-tuning
optimization
best-practices
Alex KataevbyAlex Kataev·Nov 29, 2024
TLDR
-- Cross join with where filtering, a wild ride 🎢 SELECT * FROM A, B WHERE A.id = B.A_id; -- Equivalent inner join, smooth as silk SELECT * FROM A INNER JOIN B ON A.id = B.A_id;

In the realm of SQL, both a CROSS JOIN with a WHERE clause (the wildcard gambit) and an INNER JOIN (the meticulous matcher) can be processed similarly by our SQL engines, often resulting in the same execution plan. Use EXPLAIN or EXPLAIN PLAN to verify performance equality. Use INNER JOIN when your aim is clarity and understanding - it's a friend that never lets you down.

Why even use Cross join with a WHERE clause?

Every tool has its time and place. The Cross join with a WHERE clause can be a tactical choice when dealing with legacy code or systems that were built around this paradigm. However, remember to tread cautiously - treat it like your mother-in-law's antique vase.

SQL optimizers: A game of equals

SQL optimizers, just like your childhood friend who couldn't stand losing, treat a CROSS JOIN with a WHERE clause and an INNER JOIN essentially the same. But trust, these optimizers are smart cookies - so focus on writing readable and maintainable SQL and leave the heavy lifting to them.

Why readability should be your mantra

Maintainable code is like a favorite book - easy to absorb and offers joys to its audience. Using INNER JOIN lets you articulate the relationships between tables. It's clear, neat, and lowers the risk of waking the beast—fetching monstrous datasets resulting from an accidental cross join.

Inner join as your efficiency booster

The INNER JOIN forces you to consider table relationships - sort of like arranged marriages but with less drama. These inherent checks help lower the risk of producing error-prone queries while hinting potential optimization paths to our SQL engines.

The clear winner: INNER JOIN

The INNER JOIN wins the readability match hands down. It not only takes the guesswork out of what you're trying to do but also makes life easier for your team, especially the newbies. So, while Cross join with WHERE clause can sometimes perform on par, INNER JOIN usually gets the gold medal because of its boost to code clarity and potential for optimization.

Tuning and optimization: The Holy Grail

Be it MySQL, PostgreSQL, or any other SQL database, you're going to stand out by leveraging those performance tuning and optimization resources. Embrace best practices, play smartly around indexing, and make explain plans your secret weapon for success.

Spotting and avoiding performance traps

It's not always about choosing the speediest horse in the race—the race itself might change. Avoiding the accidental CROSS JOINS is the real challenge here to avert substantial performance degradation. In this case, slow and steady avoids the dip.

Why INNER JOIN is a Swiss knife?

INNER JOIN comes with a clear set of conditions that lets our SQL engines to apply faster, cleaner, and more straightforward optimizations. Especially when your use-case involves LEFT or RIGHT JOINS, using INNER JOIN is more likely to lead you to the finish line without breaking a sweat.

A nod to SQL standards

SQL standards and syntax are there for a reason. They are like brushing your teeth daily—it's just good hygiene that ensures the universal compatibility and the future maintainability of your SQL queries.