RxJS Essentials. Part 5: The flatMap operator

In this article I’ll introduce an RxJS flatMap() operator. Previous articles in this series include:

1. Basic Terms
2. Operators map, filter, and reduce
3. Using Observable.create()
4. Using RxJS Subject

In some cases, you need to treat each item emitted by an observable as another observable. In other words, the outer observable emits the inner observables. Does it mean that we need to write nested subscribe() calls (one for the outer observable and another for the inner one)? No, we don’t. The flatMap() operator takes each item from the outer observable and auto-subscribes to it.

Some operators are not explained well in RxJS documentation, and we recommend you to refer to the general ReaciveX (reactive extensions) documentation for clarification. The flatMap() operator is better explained there, and it states that flatMap() is used to “transform the items emitted by an observable into observables, then flatten the emissions from those into a single observable”. This documentation includes the following marble diagram:

As you see, the flatMap() operator takes an emitted item from the outer observable (the circle) and unwraps its content (the inner observable of diamonds) into the flattened output observable stream. The flatMap() operator merges the emissions of the inner observables so their items may interleave.

The following code listing has an observable that emits drinks, but this time it emits not individual drinks, but palettes. The first palette has beers and the second – soft drinks. Each palette is observable. We want to turn these two palettes into an output observable with individual beverages.

function getDrinks() {

    let beers = Rx.Observable.from([   // 1
        {name: "Stella", country: "Belgium", price: 9.50},
        {name: "Sam Adams", country: "USA", price: 8.50},
        {name: "Bud Light", country: "USA", price: 6.50}
    ], Rx.Scheduler.async);

    let softDrinks = Rx.Observable.from([    // 2
        {name: "Coca Cola", country: "USA", price: 1.50},
        {name: "Fanta", country: "USA", price: 1.50},
        {name: "Lemonade", country: "France", price: 2.50}
    ], Rx.Scheduler.async);

    return Rx.Observable.create( observer => {
            observer.next(beers);     // 3
            observer.next(softDrinks);   // 4

// We want to "unload" each palette and print each drink info

  .flatMap(drinks => drinks)    // 5   
  .subscribe(  // 6
      drink => console.log("Subscriber got " + drink.name + ": " + drink.price ),
      error => console.err(error),
      () => console.log("The stream of drinks is over")

1. Creating an async observable from beers
2. Creating an async observable from soft drinks
3. Emitting the beers observable with next()
4. Emitting the soft drinks observable with next()
5. Unloading drinks from pallets into a merged observable
6. Subscribing to the merged observable

This script will produce the output that may look as follows (note that the drinks interleave):

Subscriber got Stella: 9.5
Subscriber got Coca Cola: 1.5
Subscriber got Sam Adams: 8.5
Subscriber got Fanta: 1.5
Subscriber got Bud Light: 6.5
Subscriber got Lemonade: 2.5
The stream of observables is over

To see it in CodePen visit this link.

Are there any other uses of the flatMap() operator besides unloading palettes of drinks? Another scenario where you’d want to use flatMap() is when you need to execute more than one HTTP request, where the result of the first request should be given to the second one. In Angular, HTTP requests return observables and without flatMap() this could be done (it a bad style) with nested subscribe() calls:

  .subscribe(customer => {
              .subscribe(response => this.order = response)

The method httpClient.get() returns an observable, and the better way to write the above code is by using the flatMap() operator, which auto-subscribes and unwraps the content of the first observable and makes another HTTP request:

          .flatMap(customer => this.httpClient.get(customer.orderURL))
          .subscribe(response => this.order = response);

Since a flatMap() is a special case of map(), you can specify a transforming function while flattening the observables into a common stream. In the above example, we transform the value customer into a function call httpClient.get().

TIP: In RxJS, flatMap() is an alias of mergeMap() so these two operators have the same functionality.

Let’s consider one more example of using flatMap(). This example will be a modified version of the traders-orders example used in the article “Using RxJS Subject“. This example is written in TypeScript and it uses two Subject instances:

* traders – this Subject keeps track of traders
* orders – this Subject is declared inside the class Trader and keeps track of each order placed by a particular trader.

You’re the manager who wants to monitor all orders placed by all traders. Without flatMap(), you’d need to subscribe to traders (the outer observable) and create a nested subscription for orders (the inner observable) that each subject has. Using flatMap() allows you to write just one subscribe() call, which will be receiving the inner observables from each trader in one stream.

import {Subject} from 'rxjs/Subject';
import 'rxjs/add/operator/mergeMap';

enum Action{
    Buy = 'BUY',
    Sell = 'SELL'

class Order{
    constructor(public orderId: number, public traderId: number, public stock: string, public shares: number, public action:Action){}

let traders = new Subject<Trader>();  // 1

class Trader {

    orders = new Subject<Order>();   // 2

    constructor(private traderId:number, public traderName:string){}

let tradersSubscriber = traders.subscribe(trader => console.log(`Trader ${trader.traderName} arrived`))

let ordersSubscriber = traders        // 3
  .flatMap(trader => trader.orders)   // 4
  .subscribe(ord =>      // 5
       console.log(`Got order from trader ${ord.traderId} to ${ord.action} ${ord.shares} shares of ${ord.stock}`));

let firstTrader = new Trader(1, 'Joe');
let secondTrader = new Trader(2, 'Mary');


let order1 = new Order(1, 1,'IBM',100,Action.Buy);
let order2 = new Order(2, 1,'AAPL',200,Action.Sell);
let order3 = new Order(3, 2,'MSFT',500,Action.Buy);

// Traders place orders
firstTrader.orders.next( order1);
firstTrader.orders.next( order2);
secondTrader.orders.next( order3);

1. Declare the Subject for traders
2. Each trader has its own Subject for orders
3. Starting with the outer observable traders
4. Extracting the inner observable from each Trader instance
5. The function subscribe() receives a stream of orders

In this version of the program, the class Trader doesn’t have a method placeOrder(). We just have the trader’s observable orders push the order to its observer by using the method next(). Remember, a Subject has both observable and observer.

The output of this program is shown next.

Trader Joe arrived
Trader Mary arrived
Got order from trader 1 to BUY 100 shares of IBM
Got order from trader 1 to SELL 200 shares of AAPL
Got order from trader 2 to BUY 500 shares of MSFT

In our example, the subscriber just prints the orders on the console, but in a real world app it could invoke another function that would be placing orders with the stock exchange for execution.

To see it in CodePen, follow this link. In the next article you’ll learn about a very useful operator switchMap().

If you have an account at O’Reilly’s safaribooksonline.com, you can watch my video course “RxJS Essentials” there.


TypeScript Generics

TypeScript supports parameterized types, also known as generics, which can be used in a variety of scenarios. For example, you can create a function that can take values of any type, but during its invocation, in a particular context, you can explicitly specify a concrete type.

Take another example: an array can hold objects of any type, but you can specify which particular object types (for example, instances of Person) are allowed in an array. If you were to try to add an object of a different type, the TypeScript compiler would generate an error.

Generics syntax

The following code snippet declares a Person class, creates two instances of it, and stores them in the workers array declared with the generic type. Generic types are denoted by placing them in the angle brackets (for example, ).

class Person {
    name: string;

class Employee extends Person{
    department: number;

class Animal {
    breed: string;

let workers: Array<Person> = [];

workers[0] = new Person();
workers[1] = new Employee();
workers[2] = new Animal();  // compile-time error

Here we declare the Person, Employee, and Animal classes and a workers array with the generic type. By doing this, we announce our plans to store only instances of the class Person or its descendants. An attempt to store an instance of an Animal in the same array will result in a compile-time error.

Nominal and Structural type systems

After using generics in Java for 10 years, I quickly noticed that the syntax is the same and was about to check off this syntax element as “got it”. But it was a little too soon. While Java, C++, or C# use nomimal type system, TypeScript uses the structural one. In the nominal system, types are checked against their names, but in a structural system by their structure.

With the nominal type system the following line would result in an error:

let person: Person = new Animal();

With a structural type system, as long as the structures of the type are similar, you may get away with assigning an object of one type to a variable of another. Let’s illustrate it by adding the property name to the class Animal as seen on the screenshot below.

Now the TypeScript compiler doesn’t complain about assigning an Animal object to the variable of type Person. The variable of type Person expects an object that has a property name, and the Animal object has it. This is not to say that Person and Animal represent the same types, but these types a compatible. Trying to assign the Person object to a variable of type Animal will result in the compilation error “Property breed is missing in type Person”:

let worker: Animal = new Person(); // compilation error

Can you use generic types with any object or a function? No. The creator of the object or function has to allow this feature. If you open TypeScript’s type definition file (lib.d.ts) on GitHub and search for “interface Array,” you’ll see the declaration of the Array, as shown below.

The <T> in line 1008 means TypeScript allows you to declare a type parameter with Array and the compiler will check for the specific type provided in your program. The next code listing specifies this generic <T> parameter as <Person>. But because generics aren’t supported in JavaScript, you won’t see them in the code generated by the transpiler. It’s just an additional safety net for developers at compile time.

You can see another T in line 1022 in figure B.7. When generic types are specified with function arguments, no angle brackets are needed. But there’s no actual T type in TypeScript. The T here means the push method lets you push objects of a specific type into an array, as in the following example:

workers.push(new Person());

Creating your own parameterized types

You can create your own classes or functions that support generics as well. In the next listing, we defined an interface Comparator that declares a method compareTo() expecting the concrete type to be provided during this method invocation.

interface Comparator {                   // 1
    compareTo(value: T): number;

class Rectangle implements Comparator {    // 2

    constructor(private width: number, private height: number){};

    compareTo(value: Rectangle): number{   // 3
        if (this.width*this.height &gt;= value.width*value.height){
            return 1;}
        else  {
            return -1;

let rect1:Rectangle = new Rectangle(2,5);  
let rect2: Rectangle = new Rectangle(2,3);

rect1.compareTo(rect2)===1? console.log("rect1 is bigger"): 
                            console.log("rect1 is smaller") ;   // 4

class Programmer implements Comparator {    // 5

    constructor(public name: string, private salary: number){};

    compareTo(value: Programmer): number{  // 6
        if (this.salary &gt;= value.salary){
            return 1;}
        else  {
            return -1;

let prog1:Programmer = new Programmer("John",20000);
let prog2: Programmer = new Programmer("Alex",30000);

prog1.compareTo(prog2)===1? console.log(${prog1.name} is richer):
                           console.log(${prog1.name} is poorer) ;  // 7

1. Declare an interface Comparator with a generic type

2. Create a class that implements Comparator specifying the concrete type Rectangle

3. Implement the method for comparing rectangles

4.Compare rectangles (the type T is erased and replaced with Rectangle)

5. Create a class that implement Comparator specifying the concrete type Programmer

6.Implement the method for comparing programmers

7. Compare programmers (the type T is erased and replaced with Programmer)

Even though generics are erased during the JavaScript code generation, use them to minimize the number of runtime errors. When you use libraries or frameworks written in TypeScript, you have no choice but use generics to use the API provided by these libraries.

If you live in New York, stop by at the Java SIG meetup on August 23, 2017 where I’ll be delivering a presentation “TypeScript for Java Developers”.

TypeScript generics and animal workers

I’ve been using Java generics for years, and when I saw their syntax in TypeScript, I simply put a checkmark in the list of TypeScript features that I already know and understand.I was wrong. Let me show you something.

Below is a Java code sample that illustrates the use of generics. I’ve created a class Person and its subclass Employee. Then I created a standalone class Animal. Finally, I used the generic notation to ensure that if anyone would try to add an instance of Animal to the collection of workers, the Java compiler would complain, and it did:

Then I re-wrote the same program in TypeScript, and its compiler didn’t complain:

But if I’ll comment out the property name in the class Animal, the TypeScript compiler will complain:

This may lead to the following conclusions:

1. In TypeScript, if you use a type as a parameter in generics, it’ll allow any other type as long as it has the same properties (e.g. Person.name and Animal.name)
2. In TypeScript, animals can be workers

If there is something in TypeScript documentation that has different explanations to this behavior, please let me know. Generics is an interesting subject and I’ll write another blog soon.

TypeScript: callable interfaces

TypeScript is a superset of JavaScript and over the last year it’s gaining popularity by leaps and bounds. Angular 2 and RxJS 5 are written in Typescript. I believe about a million of developers are using TypeScript today for app development (this is not official stats). I’m using TypeScript for more than a year and it’s so much more productive than JavaScript! For me (a Java developer), TypeScript makes a lot more sense than JavaScript. But if your main language was JavaScript, some of the TypeScript’s concepts might look foreign for you. I’m planning to write a couple of blogs illustrating TypeScript syntax.

Web browsers don’t understand TypeScript and there’re no plans to change this any time soon. So if you’ll write a program in TypeScript, it has to by transpiled (think compiled) into JavaScript first. I’m not going to discuss the TypeScript compiler here, but will be using the Playground, where you can write code fragments in TypeScript, and they’ll be immediately transpiled into JavaScript (it’s going to be the ECMAScript 5 version).

TypeScript supports different flavors of interfaces. Today we’ll get familiar with a callable interface that contains a bare function signature (a signature without a function name). I’ll show you the syntax first and then will explain how a callable interfaces are useful. The following example shows a bare function signature that takes one parameter of type number and returns a boolean.

(percent: number): boolean;

The bare function signature indicates that when this function will be implemented it’s going to be callable. So what’s the big deal? Let’s consider an example that declares IPayable interface, which will contain a bare function signature. In our company work employees and contractors that will be represented by a class Person. The rules for increasing pay of employees and contractors are different, and I’ll create separate functions that implement these rules. These functions will be passed as arguments to the constructor of the class Person and will be invoked inside the constructor of the Person instances.

interface IPayable { // <1>
    (percent: number): boolean;

class Person  {
    constructor(private validator: IPayable) { // <2>

    increasePay(percent: number): boolean { // <3>
        return this.validator(percent);

let forEmployees: IPayable = (percent) => { // <4>
        console.log("Increasing salary by ", percent);
        return true;

let forContractors: IPayable = (percent) => { // <5>
    var increaseCap: number = 20;

    if (percent < increaseCap) {
      console.log("Increasing hourly rate by", percent);
      return true;
    } else {
      console.log("Sorry, the increase cap for contractors is ",
      return false;

let workers: Array<Person> = [];

workers[0] = new Person(forEmployees); // <6>
workers[1] = new Person(forContractors);

workers.forEach(worker =>worker.increasePay(30)); // <7>

1. A callable interface that include a bare function signature.

2. We declare that the constructor of the Person class takes an implementation of the callable interface IPayable as an argument.

3. The increasePay() method invokes the bare function on the passed implementation of IPayable, supplying the pay increase value for validation.

4. The rules for salary increases for employees are implemented using the arrow function expression.

5. The rules for pay increases for contractors are implemented using the arrow function expression.

6. Instantiates two Person objects, passing different rules for pay increases.

7. Invokes increasePay() on each instance, validating the 30% pay increase.

First I’ll enter the above code in the TypeScript playground on the left, and the generated JavaScript code will be shown on the right (see http://bit.ly/2hUdsGn). Read the JavaScript code – it should help you understanding what’s going on. Note, that there are no traces of our IPayable interface on the right since JavaScript doesn’t support interfaces.


If you click on the button Run and open the browser’s console you’ll see the following output:

Increasing salary by 30
Sorry, the increase cap for contractors is 20

Cool. But in JavaScript you can also pass a function as an argument to a higher order function (constructor in our case), right?

Now imagine that you’re supposed to pass a function with a certain signature to a higher order function, but made a mistake and passed a wrong function. This will result in a runtime error.

Callable interfaces allow you to to catch this mistake during the development stage. For that we declare the signature of a function that has to be passed to the constructor of the instance of the Person object.

Now purposely introduce an error – declare a function with the wrong signature (do it on the left side at the playground):

let forTempWorkers = () => 
      console.log("Can't increase salary for temps"); 

Try to pass it to the constructor to a Person:

workers[0] = new Person(forTempWorkers); 

TypeScript will immediately highlight the above line as erroneous, and you’ll catch this error during dev time whereas in JavaScript this error would silently sneak into your code causing the app to blow up during the runtime.


So callable interfaces are your friends, aren’t they?

My Angular 2 presentations for 2017

In 2017 I’m planning to speak at several conferences related to development of Web applications with the new Angular 2 framework. Below is the list of my presentations (each one is 90-min long). All of them can be delivered as a 2-day workshop in your organization.

Mastering TypeScript

TypeScript is a superset of JavaScript, which allows you to be more productive in writing JavaScript applications. The syntax of this language is pretty easy to pick up for anyone who’s familiar with such object-oriented languages as Java or C#. During this presentation you’ll learn the syntax of this language and will understand the benefits it brings to the table.

Make a facelift to your Angular 2 app with UI libraries

Commercial applications need to be good looking, which means that you should pick up a rich library of UI components for your app. While Angular Material library offers two dozen of great looking components, this may not be enough for your application needs. The good news is that there are other libraries that you can use. In this presentation we’ll start with an overview of Angular Material components. Then we’ll proceed with another open-source library called PrimeNG, which offers more than 70 UI components. Finally, we’ll review the code of an Angular 2 app that uses both Angular Material and PrimeNG components.

Angular 2 for Java developers

Angular 2 is a complete re-write of the super popular Web framework AngularJS. According to Pluralsight survey, Angular leads the list of what developers want to learn in 2016. Angular 2 is a component-based framework that will have an effect in JavaScript community similar to what Spring framework did for Java. This presentation is an overview of this hot framework, which in combination with TypeScript, finally made Web development understandable for Java developers. At the end of the presentation you’ll see a sample Web application written in Angular 2 on the front and Java on the server.

Angular 2: Working with the component router

In this session you’ll see how to use the router that comes with Angular 2 Final. We’ll start with configuring the navigation in a simple app. Then you’ll see how to pass data to routes, work child routes, and create apps with multiple router outlets (auxiliary routes). We’ll also review a unit-test configuration for testing router. Finally, you’ll see how how to lazy load modules using the router.

Angular 2: Communication with the server via HTTP and WebSocket protocols

In this session you’ll see how create an Angular 2 app that can communicate with the servers via a pull (HTTP) and push (WebSocket) modes. We’ll program a simple Node server and then will go through a number of code samples that communicate with it using HTTP and WebSocket protocols. We’ll start with creating a simple NodeJS server, and then will enable it to handle HTTP requests from an Angular 2 app. Then you’ll see how to wrap a service into an observable stream. Finally, we’ll teach our server to perform a data push to an Angular 2 client using the WebSocket protocol.

Implementing inter-component communication in Angular 2

Angular 2 is a component-based framework with a well-defined API for passing data to and getting data from a component. Any application is a tree of components that often need to communicate with each other.
In this presentation you’ll see how to create reusable application components that can exchange data with each other in a loosely-coupled manner. You’ll see how components can communicate via a common parent or via an injectable service. You’ll see how to pass data using component router, input and output parameters, events and callbacks. You’ll also learn how to use projection (formerly known as transclusion) to pass HTML fragments to a component’s template. We’ll also touch upon the incorporation of the third-party JavaScript libraries into an Angular 2 app.

Using Observable Streams in Angular 2

Angular 2 includes RxJS, which is a library of reactive extensions built on the premise that everything is an observable stream.

Observables allow to introduce the push model to your application. First we’ll get familiar with the RxJS library, and then will continue reviewing observables in Angular 2. In this presentation you’ll see how to treat UI events, HTTP, and WebSocket connections as observable streams that push data. You’ll see how to wrap up any service into an observable stream so your application components can subscribe to it.

Angular 2 Tooling

Learning Angular 2 is easier than AngularJS, and developing in TypeScript is more productive than in JavaScript. But setting up the project and deploying the application is not straightforward. This presentation is not about the Angular 2 syntax. We’ll discuss the development process with Angular 2 starting from setting up the project to deploying an optimized application. We’ll start with discussing the Angular/TypeScript project structure and the proceed with such topics as using the module loader SystemJS, installing type definition files, bundling the app with Webpack and deployment in dev and prod. Finally, we’ll go through the process of scaffolding and bundling projects using the Angular CLI tool.

Angular 2: Component communication with events vs callbacks

So a child component needs to pass some data to its parent. I use TypeScript and in this blog I’ll show you two techniques: events vs callbacks.

Emitting events

The technique with emitting events is well documented:

1. Declare a property of type EventEmitter and instantiate it
2. Mark it with an @Output annotation
3. Be nice. I mean use generics to make it obvious to other developer what are you emitting and let TypeScript compiler warn you it you’ll try me emit the object of the wrong type.

The next line shows you an example that implements all three steps in a component called PriceQuoterComponent, which will be emitting price quotes of type IPriceQuote.

@Output() lastPrice: EventEmitter <IPriceQuote> = 
                              new EventEmitter();

The above code is very declarative and easy to read even after I quit and will go to work for another company.

To actually emit/dispatch/fire the lastPrice event, you need to create an object of type IPriceQuote and invoke the function emit:

let priceQuote: IPriceQuote = {...};

Nice an clean. Our component is loosely coupled and reusable, because it has no strings attached to any other components. It just shoots the lastPrice event with a payload to whoever cares to listen (or subscribe) to this event. For example, a parent component can do it like this:

<price-quoter (lastPrice)="priceQuoteHandler($event)">

The event handler function is also very easy to understand, especially because its argument explicitly declares the type of the object its getting:

priceQuoteHandler(event:IPriceQuote) {...}


Not sure why do you even want to go this route. Most likely, because you’ve never been in the callback hell. Get ready to lose the goodness of explicit typing and be prepared to deal with the “this and that” problem. But if you insist, I’ll show you how to do it.

This time the child (PriceQuoterComponent) will declare an @Input property, which will accept the name of the callback function to be called on the parent. Remember the Hollywood principle “Don’t call me, I’ll call you”?

@Input() whoToCall: Function;

The parent will bind the name of its function to call. Now, the child instead of emitting the event will call that function on its parent:

let priceQuote: IPriceQuote = {...};


The parent won’t be listening to child’s events because there won’t be any. But now the parent needs to do two things:

1. Declare and bind the function that has to be called by the child

2. Ensure that it’ll be invoked in the object that represents the parent and not on a global object. We need to pass the “this” object to the bound function, which can be done using arrow functions in ES6 or the function bind() in ES5:

    template: `
   <price-quoter [whoToCall] ="fnPriceQuoteHandler">
class AppComponent {

    fnPriceQuoteHandler: Function;

              obj => this.priceQuoteHandler(obj); // ES6

        // this.fnPriceQuoteHandler=
        //     this.priceQuoteHandler.bind(this); // ES5

In this video I did a quick code overview of both implementations of the above components. The sources are here. I like the version with events better, and you?