File formats and databases

The standard library offers the std::fs module for filesystem manipulation, which we explored in Chapter 11, Exploring the Standard Library.

• If you have to work with Comma Separated Values (csv) files, use one of the available crates such as csv, quick_csv, simple_csv, or xsv. The article on 24 days, http://zsiciarz.github.io/24daysofrust/book/vol1/day3.html, can get you started.
• For working with JSON files, use a crate such as json, simple_json, serde_json, or json_macros; start with reading http://zsiciarz.github.io/24daysofrust/book/vol1/day6.html.
• For XML format, there are also plenty of possibilities, such as the xml-rs or quick-xml crates.

For databases, there are many crates available for working with:

• sqlite3 (crates rusqlite or sqlite)

• PostgreSQL (crates postgres and tokio-postgres); get started by using http://zsiciarz.github.io/24daysofrust/book/vol1/day11.html
• Mysql (crate mysql or mysql_async):

Here is some code (mysql.rs) that connects to a local Mysql database...