Efficiently parsing big XML documents – a language/library comparison

xml-i ("XML eye") is a personal playground project where I experiment with implementing a simple program in various programming languages (and libraries), focusing on efficiency and performance in each approach.

The cli of the program should look the same in each language, which would be something like this:

• The program expects at least one argument: the path to the XML file.
• Additional arguments can be provided to specify node names to filter.

The program counts the occurrences of distinct XML nodes in a given XML document. A custom list of node names may also be passed if only a subset of all nodes should be counted. (see if that makes any difference in runtime/mem consumption...)

A basic benchmarking feature is included to demonstrate and compare the performance differences between the language implementations.

• Baseline implementation: Written in Rust, using quick-xml, serving as the primary reference for efficiency and performance.
• Alternative implementations: Code in other languages can be found in the alien directory.

Each variant defines it's buildconfig via New-AppDecl. All <something>.bc.ps1 are automatically picked up and dot-sources byxml-i.build.ps1. Use PowerShell and Invoke-Build.

See the Rust quick-xml build config as example.

Basis for my benchmark-results:

• OS: Linux 6.something-MANJARO
• Model: ThinkPad X13 Laptop
• CPU: 12th Gen Intel(R) Core(TM) i7-1270P
• RAM: 32GB
• HDD: WD Black SN770 / PC SN740 256GB / PC SN560 (DRAM-less) NVMe SSD

=> See benchmark_results.md

This repository serves as a learning and benchmarking tool, helping to explore language-specific approaches to XML processing and performance optimization.

MIT License - see LICENSE.txt