![]() Given the size of these files, you can be looking at significant differences in parsing speed between libraries. Small files come up all the time as incoming requests at high throughput, and parsing them happens quickly, so the differences in performance may not seem to be a big deal at first. But the differences add up, as often you need to parse lots of small files in rapid succession during times of heavy traffic. Microservices and distributed architectures often use JSON for transporting these kinds of files, as it is the de facto format for web APIs. Picking the right one for your environment can be critical. We ran a benchmark test to see how fast four of the most popular JSON libraries for Java parse different sizes of files. JSON.simple vs GSON vs Jackson vs JSONP For the benchmark tests, we looked at four major JSON libraries for Java: JSON.simple, GSON, Jackson, and JSONP. All of these libraries are popularly used for JSON processing in a Java environment, and were chosen according to their popularity in Github projects. JSON.simple is a Java toolkit for encoding and decoding JSON text. ![]() It’s meant to be a lightweight and simple library that still performs at a high level. GSON is a Java library that converts Java Objects into JSON and vice versa. It provides the added benefit of full support for Java Generics, and it doesn’t require you to annotate your classes. Not needing to add annotations makes for simpler implementation and can even be a requirement if you don’t have access to your source code. Jackson is a group of data processing tools highlighted by its streaming JSON parser and generator library. Designed for Java, it can also handle other non-JSON encodings. It’s the most popular JSON parser, according to our findings on Github usages. Oracle’s JSONP: (JSON Processing) is a Java API for JSON processing, namely around consuming and producing streaming JSON text.
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