JavaScript SDK #

Stateful functions are the building blocks of applications; they are atomic units of isolation, distribution, and persistence. As objects, they encapsulate the state of a single entity (e.g., a specific user, device, or session) and encode its behavior. Stateful functions can interact with each other, and external systems, through message passing.

To get started, add the JavaScript SDK as a dependency to your application.

npm install apache-flink-statefun@3.2.0

Defining a Stateful Function #

A stateful function is any function that takes a context and message parameter. In the following example, a StatefulFunction maintains a count for every user of an application, emitting a customized greeting.

const {messageBuilder, StateFun, Context} = require("apache-flink-statefun");

let statefun = new StateFun();

statefun.bind({
    typename: "com.example.fns/greeter",
    fn(context, message) {
        const name = message.asString();
        let seen = context.storage.seen || 0;
        seen = seen + 1;
        context.storage.seen = seen;
        
        context.send(
            messageBuilder({typename: 'com.example.fns/inbox',
                            id: name,
                            value: `"Hello ${name} for the ${seen}th time!`})
        );
    },
    specs: [{
        name: "seen",
        type: StateFun.intType(),
    }
    ]
});

This code declares a greeter function that will be registered under the logical type name com.example.fns/greeter. Type names must take the form <namesapce>/<name>. It contains a single ValueSpec, which is implicitly scoped to the current address and stores an integer.

Every time a message is sent a greeter instance, it is interpreted as a string representing the users name. Both messages and state are strongly typed - either one of the default built-in types - or a custom type.

The function finally builds a custom greeting for the user. The number of times that particular user has been seen so far is queried from the state store and updated and the greeting is sent to the user’s inbox (another function type).

Types #

Stateful Functions strongly types all messages and state values. Because they run in a distributed manner and state values are persisted to stable storage, Stateful Functions aims to provide efficient and easy to use serializers.

Out of the box, all SDKs offer a set of highly optimized serializers for common primitive types; boolean, numerics, and strings. Additionally, users are encouraged to plug-in custom types to model more complex data structures.

In the example above, the greeter function consumes a simple string. Often, functions need to consume more complex types containing several fields.

By defining a custom type, this object can be passed transparently between functions and stored in state. And because the type is tied to a logical typename, instead of the physical Javascript type, it can be passed to functions written in other language SDKs.

const {StateFun} = require("apache-flink-statefun");

let statefun = new StateFun();

UserType = StateFun.jsonType("com.example/User");

State #

Stateful Functions treats state as a first class citizen and so all functions can easily define state that is automatically made fault tolerant by the runtime. State declaration is as simple as defining one or more ValueSpecs describing your state values. Value specifications are defined with a unique (to the function) name and type.

All value specifications must be eagerly registered when binding the functions.

// Value specification for a state named `seen` 
// with the primitive integer type
ValueSpec.fromOpts({name: "seen", type: StateFun.intType()});

// Value specification with a custom type
ValueSpec.fromOpts({name: "user", type: UserType});

At runtime, functions can access state values scoped to the address of the current message.

const {messageBuilder, StateFun, Context} = require("apache-flink-statefun");

let statefun = new StateFun();

statefun.bind({
    typename: "com.example.fns/greeter",
    fn(context, message) {
        let seen = context.storage.seen_count || 0;
        seen += 1;
        // Update the state which will
        // be made persistent by the runtime
        context.storage.seen_count = seen;
        
        console.log(`The current count is ${seen}`);
        
        if (seen > 10) {
            context.storage.seen_count = null;
        }
    },
    specs: [{
        name: "seen_count",
        type: StateFun.intType(),
    }
    ]
});

State Expiration #

By default, state values are persisted until manually deleteded by the user. Optionally, they may be configured to expire and be automatically deleted after a specified duration.

// Value specification that will automatically
// delete the value if the function instance goes 
// more than 30 minutes without being called

ValueSpec.fromOpts({name: "seen_count", type: StateFun.intType(), expireAfterCall: 30 * 1000 * 60});

Sending Delayed Messages #

Functions can send messages on a delay so that they will arrive after some duration. They may even send themselves delayed messages that can serve as a callback. The delayed message is non-blocking, so functions will continue to process records between when a delayed message is sent and received. Additionally, they are fault-tolerant and never lost, even when recovering from failure.

This example sends a message after a 30-minute delay.

const {StateFun, messageBuilder} = require("apache-flink-statefun");

let statefun = new StateFun();

statefun.bind({
    typename: "com.example.fns/greeter",
    fn(context, message) {
        context.sendAfter(30 * 60 * 1000,
            messageBuilder({
                typename: 'com.example.fns/inbox',
                id: 'foo-bar-baz',
                value: 'Hello!'
            }));
    }
});

Egress #

Functions can message other stateful functions and egresses, exit points for sending messages to the outside world. As with other messages, egress messages are always well-typed. Additionally, they contain metadata pertinent to the specific egress type.

Apache Kafka

const {StateFun, kafkaEgressMessage} = require("apache-flink-statefun");

let statefun = new StateFun();

statefun.bind({
    typename: "com.example.fns/greeter",
    fn(context, message) {
        context.send(
            kafkaEgressMessage({
                typename: 'com.example/greets',
                topic: 'greetings',
                key: 'foo',
                value: 'bar'            
            }));
    }
});

Amazon Kinesis

const {StateFun, kinesisEgressMessage} = require("apache-flink-statefun");

let statefun = new StateFun();

statefun.bind({
    typename: "com.example.fns/greeter",
    fn(context, message) {
        context.send(
            kinesisEgressMessage({
                typename: 'com.example/greets',
                stream: 'greetings',
                partitionKey: 'foo',
                value: 'bar'            
            }));
    }
});

Serving Functions #

The JavaScript SDK for NodeJs, ships with a Handler that automatically dispatches function calls based on RESTful HTTP POSTS. The handler is composed of all the stateful functions bound to the StateFun instance.

const http = require("http");
const {StateFun} = require("apache-flink-statefun");

let statefun = new StateFun();

statefun.bind({
    typename: "example/command-interpreter-fn",
    fn(context, message) {
        console.log(`Hello there ${message.asString()}`);        
    }
});

http.createServer(statefun.handler()).listen(8000);

Next Steps #

Keep learning with information on setting up I/O components and configuring the Stateful Functions runtime.