Efficiently Find Partial Strings with Lodash in JavaScript Arrays

Discover how to enhance performance when searching partial strings in arrays with `Lodash` using our detailed guide.
---

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: What is the fastest way to find partial string in arrays with filter using lodash?

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Finding Partial Strings Fast in JavaScript Arrays with Lodash

When working with large datasets in JavaScript, performance can quickly become a concern, especially when you need to filter elements based on partial string matches. If you're trying to determine the fastest way to find partial strings in arrays with the filter function using lodash, you're in the right place! In this guide, we will explore an effective solution for optimizing this process, particularly in scenarios involving large arrays and numerous search keywords.

The Problem

Imagine you have a collection of products, each represented as an object that includes a product name and a price. For instance:

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

With a set of keywords that you're interested in, such as:

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

Your objective is to filter the products based on these keywords and calculate the total price of the matching items. However, with a dataset of 300k products and 100k keywords, traditional methods may take a considerable amount of time—specifically, around 3 minutes in some cases! So what's the fastest way to achieve this?

The Optimal Solution

Step 1: Avoid Unnecessary Memory Usage

Instead of first filtering products to create a new array, you can directly calculate the total price while iterating through the products. This not only reduces memory consumption but also improves speed.

Step 2: Minimize Function Calls

By looping through your products only once, you can enhance the performance significantly. Here's how you can implement this approach in code:

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

In this code snippet, we're using the for-of loop to iterate through the product array, checking for keyword matches using the includes method.

Step 3: Experiment with Different Loop Structures

While the for-of loop is quite efficient, it can be advantageous to experiment with classic for loops, especially with large datasets. Here’s an example:

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

Step 4: Tweak Variable Initialization

Changing where and how you initialize your loop variables can also yield slight performance improvements. For example, declaring them inside or outside the loop structure itself may lead to faster execution depending on the context. It’s worth timing both methods.

Step 5: Compare with Native Array Methods

You can also test how the native forEach and some methods perform compared to traditional loop structures. Sometimes native JavaScript methods can benefit from internal optimizations.

Conclusion

In conclusion, to search for partial strings efficiently in large arrays, combine optimal looping techniques with a keen understanding of memory usage. By implementing these strategies, you should see a noticeable decrease in processing time when filtering large datasets in JavaScript. Experiment with different code structures and keep profiling your solution to achieve the best possible performance.

By utilizing these methods, you'll not only save time but also enhance the overall efficiency of your JavaScript applications. Happy coding!