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Speed Up Your Typescript Queries to SQL Server: Tips and Tricks

Discover how to enhance your `Typescript` database query performance when compared to `C-`, leveraging async calls effectively for faster results.
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This video is based on the question https://stackoverflow.com/q/73641352/ asked by the user 'FlyFish' ( https://stackoverflow.com/u/1456999/ ) and on the answer https://stackoverflow.com/a/73641643/ provided by the user 'Firmino Changani' ( https://stackoverflow.com/u/2177908/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/by-sa/4.0/ ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/by-sa/4.0/ ) license.

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Speed Up Your Typescript Queries to SQL Server: Tips and Tricks

When you’re working with database queries, the speed of execution can significantly impact the performance of your application. Many developers notice a stark difference in execution times between different programming languages, leading to confusion and frustration. This guide addresses a real-world issue faced by developers: why does a C- application perform faster than its Typescript counterpart, particularly when both are querying the same SQL server?

The Problem

Consider the following scenario: You have a C- application that executes a loop to retrieve data, taking approximately 5 seconds to complete. Conversely, a similar function written in Typescript takes a staggering 189 seconds to finish the very same database operations. Understanding the disparity in performance between these two implementations is crucial for optimizing your application's efficiency.

Understanding the Current Implementations

C- Implementation

In the C- application, a simple foreach loop fetches data for each program and executes the function calls sequentially, but efficiently:

[[See Video to Reveal this Text or Code Snippet]]

This method features direct calls that effectively handle execution flow.

Typescript Implementation

In the Typescript application, a for...of loop attempts to use Promise.all() to fetch data concurrently, but the way it's implemented ends up making the calls sequentially thanks to the misuse of the await keyword. Here’s the current structure:

[[See Video to Reveal this Text or Code Snippet]]

While Promise.all() is designed for concurrent execution, the incorrect use of await before each function call prevents it from functioning as intended.

The Solution

To speed up your Typescript queries, we need to correct the way we utilize promises in our code. Here’s how to enhance the implementation for greater efficiency:

Revised Typescript Code

To optimize the queries, remove the await from inside the Promise.all() call. This allows the promises to resolve concurrently, instead of waiting for one to finish before starting the others:

[[See Video to Reveal this Text or Code Snippet]]

Key Takeaways

Avoid Awaiting Inside Promise.all: Always ensure that your promises are initiated without awaiting them within Promise.all(). This allows all promises to execute concurrently.

Leverage Concurrent Execution: Utilizing Promise.all() without blocking it allows your application to make the most out of asynchronous calls, dramatically decreasing execution time.

Performance Monitoring: Regularly profile and measure the performance of your database queries to identify bottlenecks and optimize accordingly.

In conclusion, revisiting how promises are handled in your Typescript application can lead to significant performance enhancements. By ensuring that your code takes full advantage of concurrent execution, you can drastically improve your application’s speed, making it as swift as your C- implementation or even better.

Feel free to implement these suggestions in your own projects and observe the gains in performance stability!

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