How Can I Efficiently Chunk a Large Go Slice with Millions of Strings for Parallel Processing?

Slice Chunking in Go

Determining how to evenly distribute a large slice into smaller chunks can be a common task when working with large datasets in Go. This article explores a solution to chunking a slice with over 2 million strings, ensuring even distribution.

The original approach involved determining the starting and ending indices of each chunk and copying the specified range into a new slice. However, this solution resulted in the first chunk being copied multiple times, rendering it ineffective.

To address this issue, it's more efficient to avoid creating new slices. Instead, append the relevant slice of logs directly to the divided slice. This approach ensures even distribution without unnecessary duplication.

chunkSize := (len(logs) + numCPU - 1) / numCPU

for i := 0; i < len(logs); i += chunkSize {
    end := i + chunkSize

    if end > len(logs) {
        end = len(logs)
    }

    divided = append(divided, logs[i:end])
}

This updated solution will efficiently chunk the slice into evenly distributed smaller slices, accommodating the total number of strings and CPU cores for optimal performance.

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