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 asyncronously 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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The first pattern we looked at in this series was the Node.js callback pattern. As I mentioned there, that pattern alone will only get you so far. Eventually, you’ll want to construct asynchronous workflows that process elements in a collection serially or run several tasks in parallel. You could write your own library, but why reinvent the wheel when you could just use Async, one of the most popular Node.js libraries ever. In this post, we’ll take a look at Async to see how it can help you write asynchronous code in Node.js.
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Callback functions have been around since the early days of JavaScript, but there have never been any standards for using them. How should callbacks be passed into async APIs? How should errors that occur during async processing be handled? A lack of standards led to variations in API implementations.
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It seems simple enough: get a connection to the database, use it to do some work, then close it when you’re done. But due to the asynchronous nature of Node.js, coding this sequence isn’t as straightforward as it seems. There are lots of options for writing asynchronous code with Node.js, and each one requires the sequence to be coded differently. In this series, I’ll provide some examples that demonstrate how to get, use, and close a connection using various async patterns.
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With Oracle Database 12.2 and Node.js 8 now available, this is a great time to create a local sandbox for learning. Thanks to some prebuilt VMs provided by Oracle, you can have such an environment up and running in less than 20 minutes (excluding download times) without spending a dime! 😄
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Oracle JET, Oracle’s JavaScript toolkit for single page apps, includes over 80 components to help build enterprise JavaScript applications. But one thing JET doesn’t include is a set of icons – the argument being that different apps and teams will likely choose different icons. Luckily, it’s not too difficult to add Font Awesome to a JET app. If you’re using one of the starter apps without the Yeoman generator, have a look at Paul Thaden’s post on adding Font Awesome. In this post, I’ll show you how to add Font Awesome to a project created via the Yeoman generator.
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The current version of the Node.js driver (v1.12) doesn’t support binding record types directly. Does that mean you can’t invoke stored procedures and functions that use record types? Of course not! For now, you just have to decompose the record types for binding and then recompose them inside your PL/SQL block. Let’s have a look at an example…
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Oracle REST Data Services (ORDS) allows developers to create REST interfaces to Oracle Database, Oracle Database 12c JSON Document Store, and Oracle NoSQL Database as quickly and easily as possible. When working with Oracle Database, developers can use the AutoREST feature for tables or write custom modules using SQL and PL/SQL routines for more complex operations. This post will explain what happens with dates as they move between ORDS and Oracle Database.
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Node.js is an excellent platform for creating RESTful APIs that store and retrieve data using Oracle Database. node-oracledb is the driver maintained by Oracle that allows Node.js developers to connect to and utilize the database. As data crosses the boundaries between JavaScript and Oracle Database, the driver automatically converts it to native data types on either end. This post explores how that conversion process works for datetime values.
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