Download Becoming Functional: Steps for Transforming Into a by Joshua Backfield PDF

By Joshua Backfield

In case you have an significant (and most likely object-oriented) programming history, this hands-on publication will advisor you thru the alien global of sensible programming. writer Joshua Backfield starts slowly via exhibiting you the way to use the main valuable implementation innovations ahead of taking you additional into functional-style strategies and practices. In every one bankruptcy, you are going to examine a sensible inspiration after which use it to refactor the fictitious XXY company's imperative-style legacy code, writing and checking out the sensible code your self. As you move throughout the ebook, you will migrate from Java 7 to Groovy and eventually to Scala because the want for higher practical language aid progressively raises.

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Extra resources for Becoming Functional: Steps for Transforming Into a Functional Programmer

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AllCustomers object. Invariably someone will forget to do a synchron‐ ized access and break the entire paradigm. all Customers variable without worrying about the list mutating. Of course, this means that we have to be able to generate new lists with updated members. This is the idea behind immutability. Immutability As we get deeper into immutability, think about database transactions. Database trans‐ actions are atomic, which means that the system is either in a pre-transaction or posttransaction state, never in a mid-transaction state.

Here are a few examples of side effects: • Printing to a screen • Saving to a file/database • Altering a field on an object Side effects are not bad, they should just be used sparingly. They should be used only in certain situations because they go outside of the functional concepts. As we’ll see in Chapter 7, statements allow us to implement side effects. ” He essentially wants you to update setContractForCustomer to return a list of Contract objects you modified. As stated before, assigning a field on an object passed in is technically a side effect.

My hope is that through this book you’ll gain an understanding of how to make the changes. How do you know when to make a function pure? Really, you want to make a function pure whenever possible; it makes the function much more testable and improves un‐ derstandability from a troubleshooting perspective. However, sometimes you don’t need to go to that extreme. Let’s look at Example 3-23, in which we’ll refactor our getField method and instead of passing in the test function, we’ll pass in a prefiltered list.

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