Question 1

How does jscan compare to encoding/json for performance?

Accepted Answer

jscan is optimized for high-performance with zero-allocation scanning, often outperforming encoding/json in throughput-sensitive scenarios, but it lacks marshaling features. Benchmark details are in the jscan-benchmark repository.

Question 2

Can jscan parse JSON into Go structs automatically?

Accepted Answer

No, jscan does not support unmarshaling; it focuses on iteration and validation. An experimental decoder is in development for future releases, but currently, you need manual value extraction.

Question 3

How to validate JSON syntax with jscan in Go?

Accepted Answer

Use the Scan function with a callback; errors returned during iteration indicate validation failures, leveraging on-the-fly validation as described in the README's key features.

Question 4

What's the best use case for jscan vs other JSON libraries?

Accepted Answer

jscan excels in high-throughput JSON processing like API validation or data pipelines where memory efficiency is critical, but for simple struct mapping, standard libraries might be better.

Question 5

How to extract nested JSON values using jscan?

Accepted Answer

Implement a callback in Scan to check keys and array indices, then use the Value method to access data, similar to the example code in the README for handling complex structures.

Question 6

Is jscan good for streaming large JSON files?

Accepted Answer

Yes, its zero-allocation design and efficient iteration make it ideal for processing large JSON streams with minimal memory overhead, as highlighted in the performance benchmarks.

jscan

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