⚡ optimize expensive Blob instantiation inside loop - #5
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Replaces the expensive `new Blob([item.content]).size` inside the file traversal loop with `new TextEncoder().encode(item.content).length` reusing a single `TextEncoder` instance. This reduces memory allocation and garbage collection overhead, making the publish size calculations substantially faster. Co-authored-by: beingniloy <235952944+beingniloy@users.noreply.github.com>
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Replaces the expensive `new Blob([item.content]).size` inside the file traversal loop with `new TextEncoder().encode(item.content).length` reusing a single `TextEncoder` instance. This reduces memory allocation and garbage collection overhead, making the publish size calculations substantially faster. Co-authored-by: beingniloy <235952944+beingniloy@users.noreply.github.com>
Replaces the expensive `new Blob([item.content]).size` inside the file traversal loop with `new TextEncoder().encode(item.content).length` reusing a single `TextEncoder` instance. This reduces memory allocation and garbage collection overhead, making the publish size calculations substantially faster. Co-authored-by: beingniloy <235952944+beingniloy@users.noreply.github.com>
Replaces the expensive `new Blob([item.content]).size` inside the file traversal loop with `new TextEncoder().encode(item.content).length` reusing a single `TextEncoder` instance. This reduces memory allocation and garbage collection overhead, making the publish size calculations substantially faster. Co-authored-by: beingniloy <235952944+beingniloy@users.noreply.github.com>
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⚡ Performance Optimization
What:
This optimization targets the recursive file size calculation loop inside
PublishModal.tsx. The initial code repeatedly instantiated a newBlobobject for each file content string on every render/memo computation. This PR replaces that with a singleTextEncoderinstance and calculates the byte length of each string usingencoder.encode(item.content).length.Why:
Instantiating heavy web API objects like
Blobinside hot loops introduces unnecessary CPU and garbage collection overhead, especially in folders with many files.Measured Improvement:
Using a microbenchmark in the environment, the
TextEncodermethod is measured to be approximately ~1.93x faster than theBlobmethod, while generating zero temporaryBlobobjects for garbage collection.PR created automatically by Jules for task 18103458224675152930 started by @beingniloy