You don’t use mixins or HOCs in your
method, which is a key piece of React’s
composition model. When you compose in
, you get to take advantage of the full React lifecycle. This point is subtle, and probably deserves its own blog post at some point in the future, but I digress. 😅
So in summary:
using a HOC with ES6 classes poses many of the same problems that mixins did with
, just re-arranged a bit
Welcome to the new mixins! 🤗
In addition to these drawbacks, HOCs introduce a lot of ceremony due to the fact that they wrap components and create new onesinstead of being mixed in to existing components. The component that is returned from the HOC needs to act as similarly as it can to the component that it wraps (it should take the same props, etc.) This fact alone requires a lot of boilerplate code just to build a robust HOC.HOCs introduce a lot of ceremony
You can see a good example of what I’m talking about in
that ships with
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hoisting of the wrapped component’s static properties
, and other things are all part of the dance you need to do if you’re going to ship a HOC with your React library.
There is another technique for sharing code that avoids the drawbacks of mixins and HOCs. At React Training , we call this technique “Render Props”.
The first time I ever saw a render prop was in
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at React Europe where he talked about the
API that they were using to share interpolated animation values with the parent component. If I had to try and define it, I’d say something like this:
More generally speaking, the idea is this: instead of “mixing in” or decorating a component to share behavior, just render a regular component with a function prop that it can use to share some state with you .
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The software industry as a whole contains a lot of people doing a lot of different things, but for every developer working on new embedded firmware, there’s about ten building the linchpin of modern software – CRUD apps that serve requests over HTTP. A lot of these apps are backed by MVC frameworks like Ruby on Rails or ASP.NET, and backed by ACID-compliant relational databases like Postgres or SQL Server.
Sharp edges in production can lead to all kinds of unexpected cases during the execution of an HTTP request – client disconnects, application bugs that fail a request midway through, and timeouts are all extraordinary conditions that will occur regularly given enough request volume. Databases can protect applications against integrity problems with their transactions, and it’s worth taking a little time to think about how to make best use of them.
There’s a surprising symmetry between an HTTP request and a database’s transaction. Just like the transaction, an HTTP request is a transactional unit of work – it’s got a clear beginning, end, and result. The client generally expects a request to execute atomically and will behave as if it will (although that of course varies based on implementation). Here we’ll look at an example service to see how HTTP requests and transactions apply nicely to one another.
I’m going to make the case that for a common idempotent HTTP request, requests should map to backend transactions at 1:1. For every request, all operations are committed or aborted as part of a single transaction within it.
At first glance requiring idempotency may sound like a sizeable caveat, but in many APIs operations can be made to be idempotent by massaging endpoint verbs and behavior, and moving non-idempotent operations like network calls to background jobs.
Some APIs can’t be made idempotent and those will need a little extra consideration. We’ll look at what to do about them in more detail later as a follow up to this article.
Let’s build a simple test service with a single “create user” endpoint. A client hits it with an
to signal that the user’s been created. The endpoint is also idempotent so that if a client hits the endpoint again with the same parameter, it responds with status
to signal that everything is still fine.
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