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How to Improve Performance of Your Database by Indexing Large Tables

Karishma Shukla on August 07, 2023

What is Database Indexing? Database indexing is a technique that makes searching and retrieving data from a database faster. It is like ...
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Richard

Amazing post!
Now I will try this with 500 million rows instead 😎

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Karishma Shukla

🙌

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Karthik

This is awesome. Your content is great.

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Karishma Shukla

Thanks Karthik

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Olaoye kunle

Wow. This is really intuisive. Thanks

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Karishma Shukla

Thank you

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gaurbprajapati

good content

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Karishma Shukla

Thanks 🙌

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franciscomedinav

Great post

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Karishma Shukla

Thank you

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Roman Lomovtsev

Thank you for your post.

On my machine the numbers: 6.348s and 1.945s

But for checking this kind of performance I used aggregate function COUNT (dbeaver automatically limiting):
SELECT count(*) FROM customers WHERE country='United Kingdom';

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sientatrip • Edited

Query Patterns: Understand which queries are frequently executed on the large tables. Analyze the SELECT, JOIN, and WHERE clauses to determine the most common access patterns.

Choose Appropriate Index Columns: Select columns that are frequently used in WHERE clauses and JOIN conditions. Focus on columns with high selectivity (many unique values), as indexing on these columns will yield better results.

Understand Index Types: Different database systems offer various index types, such as B-tree, Bitmap, or Hash indexes. Understand the strengths and limitations of each type of depthcrypto and choose the most suitable for your scenario....

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Soham • Edited

Hmm I wonder how this would work with larger data, like the content of a post or a blog perhaps... maybe we would need to use some natural language processing to extract keywords and then indexing based on that? I'm not sure though just a thought...

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Felix Turner

Database indexing accelerates queries, yet impacts write operations. Balance its benefits for better database performance. Consider data volume and query frequency.