SQL Query Optimization | SQL Query Optimization and performance tuning

In this video we have discussed tips and tricks by which we can optimize any SQL query and improve 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 have covered in this video:

n this video of code decode we have demonstrate how to optimize and fine tuned the SQL queries
asked in Sql interview question and answers

This video has Best Practices of SQL and Ways to fine tune your SQL Queries

SELECT fields instead of using SELECT *

Avoid SELECT DISTINCT

Create joins with INNER JOIN (not WHERE)

Use WHERE instead of HAVING to define filters

Avoid too much JOINs on your query: use only what is necessary!

Avoid cursors at all costs!

SELECT DISTINCT is a handy way to remove duplicates from a query. SELECT DISTINCT works by GROUPing all fields in the query to create distinct results. To accomplish this goal however, a large amount of processing power is required. Additionally, data may be grouped to the point of being inaccurate. To avoid using SELECT DISTINCT, select more fields to create unique results.

Some SQL developers prefer to make joins with WHERE clausesThis type of join creates a Cartesian Join, also called a Cartesian Product or CROSS JOIN.

In a Cartesian Join, all possible combinations of the variables are created
This is an inefficient use of database resources, as the database has done 100x more work than required. Cartesian Joins are especially problematic in large-scale databases, because a Cartesian Join of two large tables could create billions or trillions of results.
To prevent creating a Cartesian Join, use INNER JOIN instead:
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Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!

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