SQL query optimization SQL query optimization and performance tuning

In this video, we discussed tips and tricks that will help us optimize any SQL query and improve its performance.

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Chapters:
0:00 Introduction
0:44 what is sql query optimization
1:54 INDEXING in SQL
5:09 UNION VS UNION ALL
6:02 SELECT, TOP, LIMIT IN SQL
7:19 SQL OPTIMIZATION OTHER TRICKS

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what we discussed in this video:

In this code decoding video, we demonstrated how to optimize and refine the SQL queries
asked in SQL interview question and answers

This video covers SQL best practices and ways to refine your SQL queries

SELECT fields instead of SELECT *

Avoid SELECT DISTINCT

Creating joins with INNER JOIN (not WHERE)

Instead of having to define filters, use WHERE

Avoid too many JOINs on your search: use only what is necessary!

Avoid cursors at all costs!

SELECT DISTINCT is a useful way to remove duplicates from a query. SELECT DISTINCT works by GROUPING all fields in the query to create separate results. However, achieving this goal requires a large amount of processing power. Furthermore, data can be grouped in a way that makes it inaccurate. To avoid using SELECT DISTINCT, select more fields to create unique results.

Some SQL developers prefer to create joins with WHERE clauses. This type of join creates a Cartesian join, also known as a Cartesian product or CROSS JOIN.

A Cartesian join creates all possible combinations of the variables
This is an inefficient use of database resources as the database did 100x more work than it needed to. Cartesian joins are especially problematic in large-scale databases, because a Cartesian join of two large tables could produce billions or trillions of results.
To avoid creating a Cartesian join, use INNER JOIN:

I hope you enjoyed this video and learned something new 🙂
See you in the next video, see you then Bye-Bye!

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