[Fix] utils: Optimize performance under large data volumes, reduce me…

[lixinGiting]

When using qs.stringify to handle large data on a Windows Node.js environment resulted OOM. The problem was identified to occur during the process of concatenating a large number of strings, which consumed significant memory and time.

To resolve this issue, implemented a chunk-based processing approach.

Tested this solution using 20MB of Chinese characters and observed the following improvements:
Memory usage was reduced by approximately 80%, from 1637MB to 327MB.
Processing speed increased by approximately 4 times, from 5256ms to 1318ms.

Summary by CodeRabbit

• Refactor
  • Improved the efficiency of the string encoding process by handling input in segments, enhancing Unicode character support.

[coderabbitai]

Walkthrough

Walkthrough

The recent update enhances the encode function's efficiency and Unicode character handling by processing input strings in segments of 1024 characters. This change optimizes the encoding logic within these segments, ensuring better performance and reliability in data processing tasks.

Changes

File	Summary of Changes
lib/utils.js	Updated the encode function to process input strings in segments of 1024 characters, improving efficiency and Unicode character handling by updating the encoding logic within these segments.

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Recent Review Details

Configuration used: CodeRabbit UI

Commits

Files that changed from the base of the PR and between c4d29f3 and 6d7df02.

Files selected for processing (1)

• lib/utils.js (2 hunks)

Files skipped from review as they are similar to previous changes (1)

• lib/utils.js

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[ljharb]

this PR adds a dependency on string slice, and array join (arr.push(item) can be converted to arr[arr.length] = item), which is undesirable, but otherwise it seems like a reasonable and straightforward change.

[lixinGiting]

I have made the changes according to your suggestions. Could you please review it again?

[lixinGiting]

Thanks a lot.
Codecov seems to be experiencing some issues, pending for several hours.