Which would be better option to consider in a enviornment when you have both big json file and multiple small json files to deal with?
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HERE IS YOUR ANSWER
- JSON is the accepted standard these days for transmitting data between servers and web applications, but like many things we’ve accepted, it’s easy to take it for granted and not put much further thought into it.
- We often don’t think about the JSON libraries we use, but there are some differences between them.
- With that in mind, we ran a benchmark test to see how fast four of the most popular JSON libraries for Java parse different sizes of files.
- Today, we’re sharing those results with you guys.
- JSON is often used to transport and parse big files.
- This is a scenario that’s common in data processing applications running in Hadoop or Spark clusters.
- 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.
- Micro services and distributed architectures often use JSON for transporting these kinds of files, as it’s the de facto format for web APIs.
- Not all JSON libraries perform the same.
- Picking the right one for your environment can be critical.
- This benchmark can help you decide.
HOPE IT MIGHT HELP YOU PLEASE MARK AS BRAINLIST AND FOLLOW PLEASE PLEASE
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