August 2022
Beginner to intermediate
424 pages
10h 19m
English
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12 Advanced data validation
A self-made gift
This chapter covers
- Validating function arguments
- Validating function return values
- Data validation beyond static types
- Automatic generation of data model diagrams
- Automatic generation of schema-based unit tests
As the size of a code base grows in a project that follows DOP principles, it becomes harder to manipulate functions that receive and return only generic data. It is hard to figure out the expected shape of the function arguments, and when we pass invalid data, we don’t get meaningful errors.
Until now, we have illustrated how to validate data at system boundaries. In this chapter, we will illustrate how to validate data when it flows inside the system by defining data schemas for function ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.