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So, I am working on a web page extractor (something like Instapaper back-end) and I was wondering which language is a better fit for this type of code.
Most of my experience has been with Java, so I am pretty familiar with the language and IDEs and ..., but I have been working with Golang recently and it has been a positive experience.
On one hand we have a very well optimized JVM with excellent GC and on the other hand we have Go with native executables. So, I wrote two sets of code to benchmark performance of each of these when they load and parse a webpage.
The task is to load a number of web pages and parse them as a DOM structure and then search for specific tags within the DOM. This is a simple example of what any web page extractor would need.
In a benchmark, it is not important which hardware/OS environment you run the code. The only important factor is that they should be the same for all the different code you want to compare.
So I started a docker container on my Macbook with 4 CPUs and 8GB RAM. This is not an ideal RAM for high processing tasks like this but as I said, the point is just to "compare" the performances with each other and as long as they both run on the same environment we are fine.
For Java I picked the well known jsoup library. This framework is actively maintained and has ~7900 stars on GitHub. It is well documented and easy to get started with.
For Go, I picked goquery. This one is also pretty active and has 8800 GitHub stars.
To do the benchmark, I prepared a link file with a small number of links to some high traffic websites with lots of links and contents. Below steps are done 10 times for each of Java and Go implementations:
All of the source code (Go and Java implementations + scripts used to do the benchmarking) are available here
900 executions were made during the benchmark (450 for each language).
So, Go was about 4x faster than Java on average, which is impressive!
