I previously demonstrated a manual approach to adding pagination, sorting, and filtering capabilities to a REST API. In this post, I’ll show you how to use a module to simplify and standardize these operations.
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At this point in the series, the REST API supports basic CRUD capabilities on the employees endpoint. However, clients often need some control over how multiple records are fetched from the database. In this post, you’ll make the API more flexible by adding pagination, sorting, and filtering capabilities.
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In the last post, you added logic to the API for GET requests which retrieved data from the database. In this post, you will finish building out the basic CRUD functionality of the API by adding logic to handle POST, PUT, and DELETE requests on the employees endpoint.
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After taking a brief detour to create a generic database module, it’s time to continue building out the high-level components discussed in the parent post. In this post, you will add routing, controller, and database logic to handle an HTTP GET request on an “employees” API endpoint.
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With the web server in place, it’s time to look into some database basics. As mentioned in the parent post, this series will use the Oracle Database driver/API for Node.js (node-oracledb) to interact with the database. In this post, you’ll create a module that’s responsible for starting up and shutting down a database connection pool. You’ll also add a function that simplifies executing simple statements by getting and releasing connections from the pool automatically.
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The web server is one of the most important components of a REST API. In this post, you will start your REST API project by creating some initial directories and files. Then you’ll create a web server module and wire things up so that the web server starts up and shuts down correctly. Finally, you will add some basic logging capabilities to the web server.
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Two of my favorite Oracle Cloud services are the Exadata Express Cloud Service (Exadata Express) and the Application Container Cloud Service (ACCS). Exadata Express is a fully managed Oracle Database service at an entry-level price point for small to medium sized data and ACCS is an easy way to deploy apps in Docker containers. In this post, I’ll demonstrate how to connect these two services at the most basic level.
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So far in this async series, we’ve covered Node.js style callbacks, the Async module, and promises. In this final part of the series, we’ll learn about async functions (a.k.a. async/await). To me, async functions are the most exciting thing to happen to JavaScript since Ajax. Finally, we can read JavaScript code in a synchronous manner while it executes asynchronously as it always has.
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The first two patterns we looked at in this series were Node.js callbacks and the Async module. While effective, those patterns are not the only ways of writing asynchronous code. Patterns built around concepts such as “deferreds” and “promises” were first introduced to the JavaScript community via third party libraries like Q and Bluebird. Over time a native implementation of promises was added to ECMAScript, then implemented in V8, and later integrated into Node.js.
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