Best way to get result count before LIMIT was applied

Proficient use of window functions

Window functions like COUNT(*) OVER() in PostgreSQL can give you the total count in performance-boosting ways.

SELECT *, COUNT(*) OVER() as total_count FROM your_table WHERE your_conditions LIMIT 10; -- Open the window to count the rows!
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With COUNT(*) OVER(), it computes the row total matching the WHERE clause without limiting the resulting rows. An Index covering your WHERE clause columns can jaw-droppingly speed up your query!

Performance-cost and SQL_CALC_FOUND_ROWS

Beware havoc-wreaking performance cost when using SQL_CALC_FOUND_ROWS and FOUND_ROWS() - they command SQL Server to calculate total rows, resulting in a dramatic thriller for large tables. Optimize your query by employing indexes to steer clear off full table scans!

Index - your secret weapon for efficiency

In the quest for peppy queries, your indexes play a paramount role. Equip your WHERE conditions with relevant indexes for speedy result retrieval and count operations, ensuring swift traversal of indexed data.

Other ingenious methods and performance

Remember to keep a toolbox of alternative methods handy, such as independent count queries and cached count results, especially for more static or seldom changing data.

SELECT COUNT(*) FROM your_table WHERE your_conditions; -- Because counting separately is also cool! 
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Magnify performance by implementing caching at your application level! It’s like having your cake and caching it, too!

Language-dependent optimizations

Language matters! Utilize the unique features or libraries of your programming language - ORMs like Hibernate or Entity Framework might offer optimized ways to count rows faster than Usain Bolt!

Counting rows in hefty datasets

Counting big datasets? Use pagination techniques or approximates for speed. Some databases provide functions for estimate row counts, taking considerable computation load off your shoulders!

The cost of full_count

Heed the toll of using functions like SQL_CALC_FOUND_ROWS. It can be as heavy on your performance as a moose in a backpack on a long hike! Always benchmark your queries and make sure they are as efficient as a Swiss clock.

Using built-in functionalities for the win

To successfully dodge performance shortcomings, capitalize on PostgreSQL's built-in functionalities. There’s a wealth of treasure in the PostgreSQL manual that can unleash the performance beast in your count and retrieval operations!