Efficient Data Handling in Go: Chunking SQL Responses to Prevent Out-Of-Memory Errors

Adam Szpilewicz
Level Up Coding
Published in
3 min readApr 27, 2024

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Photo by vackground.com on Unsplash

Handling large datasets efficiently is crucial in software development, particularly when dealing with database operations. One common challenge is processing huge volumes of data returned from SQL queries without running into out-of-memory (OOM) errors. This article explores a technique using Go (Golang) to chunk SQL responses and process them…

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Backend software engineer working with golang and python @Rivery (https://rivery.io/). I like writting and reading about code and software engineering.