Stream and Display Data in Realtime with Materialize and Adonisby@bobbyiliev
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Stream and Display Data in Realtime with Materialize and Adonis

by Bobby IlievDecember 9th, 2021
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In this tutorial, we are going to build a web application using AdonisJS and integrate it with Materialize to create a real-time dashboard

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In this tutorial, we are going to build a web application using AdonisJS and integrate it with Materialize to create a real-time dashboard based on streaming data using standard SQL.

Materialize lets you define views you want to maintain on your data, just as you would with any SQL table, and then get the results in real-time, unlike traditional databases which frequently act as if they've never been asked that question before.


You need to have the following things installed before getting started:

What is Materialize

Materialize is a streaming database that takes data coming from sources like Kafka, PostgreSQL, S3 buckets, and more and allows you to effectively transform it in real-time using SQL.

Unlike a traditional database, Materialize is able to incrementally maintain views on top of streaming data, providing fresh and correct results as new data arrives. This means that, instead of recomputing the view from scratch every time it needs to be updated, it only does work proportional to the changes in its inputs, so it is fast and efficient.

In the context of web development, Materialize can be used as a backend to power real-time applications (as we'll see in this demo)!

Running a Materialize Demo

For the sake of this tutorial we are going to run the following Materialize Demo:

Materialize - Log Parsing Demo

The setup of the demo is the following:

Materialize log parsing demo diagram

We would not get into too much details here, but if you have not gone through this demo before, make sure to read it!

To run the demo, follow these steps:

First things first, before you could run the demo, you need to clone the repository:

  • Clone the repository:
git clone
  • Once that is done, switch to the repository directory:
cd mz-http-logs
  • Then start all services:
docker-compose up -d

With that, you would have your Materialize instance up and running. Next we will prepare our AdonisJS installation and use AdonisJS to create our Materialize sources and views!

What is AdonisJS?

AdonisJS is a web framework for Node.js. It includes everything that you would need to create a fully functional web application or an API.

AdonisJS has been inspired by Laravel and it has its own ORM, Auth support, and a CLI tool called Ace which is very similar to Artisan.

At the end we would extend the Log parsing Materialize demo and have the following setup:

Streaming Data with AdonisJS and Materialize

Install AdonisJS

Let's start by installing AdonisJS. To do so, you would need to run the following command:

npm init adonis-ts-app@latest hello-materialize

Once you run that, you will be asked to select a project structure. You will be able to choose between an API, Web App, and a minimal possible AdonisJS app:

❯ Select the project structure …  Press <ENTER> to select
  api   (Tailored for creating a REST API server)
❯ web   (Traditional web application with server-rendered templates)
  slim  (A smallest possible AdonisJS application)

For this tutorial let's go with the web app! Using your arrow keys select web and hit enter.

After that you will be asked to choose a name for the project, I will leave this as hello-materialize but feel free to choose a different name.

I will then press enter and say yes to the rest of the settings:

❯ Enter the project name · hello-materialize
❯ Setup eslint? (y/N) · y
❯ Configure webpack encore for compiling frontend assets? (y/N) › y

This will instantiate the project and might take up to a minute to complete:

AdonisJS initialization

Once ready, you can cd into the new project directory:

cd hello-materialize

And then start the webserver:

node ace serve --watch

If you are coming from the Laravel world, this would be just like running php artisan serve. The ace CLI tool is just like artisan and comes with a lot of the same functionalities.

To check all of the ace commands, you can run: node ace.

Installing Lucid

Lucid is the AdonisJS ORM. It is quite similar to Laravel Eloquent.

Lucid comes with an Active Record ORM, Query Builder, Migrations, Seeds, and Factories.

Let's go ahead and install it! To do so, just run the following command:

npm i @adonisjs/lucid

Once done, you would need to do a quick configuration.

Configuring Lucid

In order to configure Lucid, you need to run the following ace command:

node ace configure @adonisjs/lucid

You will be asked to select the database driver that you want to use. As Materialize is wire-compatible with PostgreSQL, you can connect to it using any pg driver; here, make sure to select PostgreSQL!

![AdonisJS lucid configuration](

Next, you will be asked to select where you want to display the configuration instructions. I chose In the terminal, which prints out the necessary environment variables that you have to add to your .env file.

Configure the Materialize env variables

In order to let our AdonisJS application connect to Materialize, we need to change the PG_* details in the .env file.

With your favorite text editor, open the .env file and update the PG_ environment variables to:


This will allow AdonisJS to connect to Materialize just as it would when connecting to PostgreSQL.

One thing to keep in mind is that Materialize doesn’t yet support the full system catalog of PostgreSQL (we're working on it!), which means that ORMs like Lucid, Prisma, Sequelize, or TypeORM might fail during some attempts to interact with Materialize. As we work to broaden pg_catalog coverage, the integration with these tools will gradually improve!

Creating a Controller

Let's create a controller where we will add the functionality that would allow us to connect to Materialize!

As the Materialize demo is simulating an application log with a lot of visitors, let's call our AdonisJS controller VisitorsController:

node ace make:controller VisitorsController

This will create a controller file at:


Next, let's create the routes that we would need!

Creating the AdonisJS routes

Your routes file is stored at start/routes.ts. In there we can specify our application URLs and map them to different controllers and methods!

We do not yet have the methods ready, but we know that we would need the following routes:

  • /source: When visited, this route would create a Materialize source
  • /view: When visited, this route would create a materialized view
  • /visitors: This route would return an event stream with all of the latest changes to our materialized view
  • /: This will be the landing page where we will display the streaming data that we are getting from the /visitors endpoint and Materialize

Open your routes file at start/routes.ts and update it so that it has the following content:

import Route from '@ioc:Adonis/Core/Route'

Route.get('/', 'VisitorsController.index')
Route.get('/visitors', 'VisitorsController.visitors')
Route.get('/source', 'VisitorsController.source')
Route.get('/view', 'VisitorsController.view')

Next, let's add a method that would allow us to create a Materialize source as described in the Materialize Log Parsing Demo!

Creating a Materialize Source from logs

If you were accessing Materialize directly via a SQL client (like psql), in order to access data from a continuously produced log file, you would execute the following statement:

FROM FILE '/log/requests' WITH (tail = true)
FORMAT REGEX '(?P<ip>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}) - - \[(?P<ts>[^]]+)\] "(?P<path>(?:GET /search/\?kw=(?P<search_kw>[^ ]*) HTTP/\d\.\d)|(?:GET /detail/(?P<product_detail_id>[a-zA-Z0-9]+) HTTP/\d\.\d)|(?:[^"]+))" (?P<code>\d{3}) -';

Let's see how we could do that via AdonisJS!

First, open the app/Controllers/Http/VisitorsController.ts file with your favorite text editor.

The file would have the following content initially:

// import { HttpContextContract } from '@ioc:Adonis/Core/HttpContext'

export default class VisitorsController {}

There are a few things that we would want to do:

  • Import Lucid:
import Database from '@ioc:Adonis/Lucid/Database'
  • Then inside the VisitorsController class, let's create a method called source and
// import { HttpContextContract } from '@ioc:Adonis/Core/HttpContext'
import Database from '@ioc:Adonis/Lucid/Database'

export default class VisitorsController {

    public async source({request, response}) {

        //Using Ludic to connect to Materialize, we are executing a CREATE SOURCE statement
        const res = await Database.rawQuery(
            `CREATE SOURCE requests
                FROM FILE '/log/requests' WITH (tail = true)
                FORMAT REGEX '(\\?P<ip>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}) - - \[(\\?P<ts>[^]]+)\] "(\\?P<path>(\\?:GET /search/\\\?kw=(\\?P<search_kw>[^ ]*) HTTP/\d\.\d)|(\\?:GET /detail/(\\?P<product_detail_id>[a-zA-Z0-9]+) HTTP/\d\.\d)|(\\?:[^"]+))" (\\?P<code>\d{3}) -';`
        return res;



Now, if you were to visit the /source URL via your browser ( it would create your Materialize source:

Source created

Creating a Materialize View

You may be familiar with materialized views from the world of traditional databases like PostgreSQL, which are essentially cached queries. The unique feature here is the materialized view we are about to create is automatically kept up-to-date.

Let's do the same thing as before, but to create a materialized view based on our file source! To do that, let's create a method called view with the following content:

Add this right after the end of the source method

    public async view({request, response}) {

        //Using Ludic to connect to Materialize, we are executing a CREATE VIEW statement
        const res = await Database.rawQuery(
            `CREATE OR REPLACE MATERIALIZED VIEW unique_visitors AS
             SELECT count(DISTINCT ip) FROM requests;`
        return res;


Our materialized view would show the count of the unique visitors flowing through our demo application.

To create the view, visit the /view URL via your browser (eg.

With that, our view will be created and we can move on to the next step!

Creating an event stream

You can query the new materialized view, that we've just created, as usual with a standard SELECT statement:

SELECT * FROM unique_visitors;

However, in order to take full advantage of the incrementally updated materialized view right from our AdonisJS app, rather than querying Materialize with a standard SELECT to get the state of the view at a point in time, we will use a TAIL statement to request a stream of updates as the view changes.

    public async visitors({request, response}) {

        // First we set a header to identify that this would be an event stream
        response.response.setHeader('Content-Type',  'text/event-stream');

        // Then we declare a TAIL cursor
        await Database.rawQuery('BEGIN');
        await Database.rawQuery('DECLARE visitors_c CURSOR FOR TAIL unique_visitors');

        // Finally we use FETCH in a loop to retrieve each batch of results as soon as it is ready
        while (true) {
            const res = await Database.rawQuery('FETCH ALL visitors_c');
            response.response.write(`data: ${JSON.stringify(res.rows)}\n\n`)

For more information about TAIL, make sure to check out the official documentation here:

Materialize TAIL statement.

If you were to now visit the /visitors URL via your browser, you would see the following output:

adonisjs Materialize streaming data

Next, let's create a view where we would use the /visitors endpoint as an event source and continuously update our web page.

Displaying the number of unique visitors on the frontend

First, before we get started, make sure that you've executed the following command to configure Encore which is used to compile and serve the frontend assets for your AdonisJS app:

node ace configure encore

Then create a new file at:


And add the following content:

<!DOCTYPE html>
<html lang="en">
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Materialize and AdonisJS</title>

      <h1 class="title"> Hi there! </h1>
      <p class="subtitle">
        The number of unique visitors is: <strong><span id="count"></span></strong>
    var eventSource = new EventSource("");

    const count = 0;
    eventSource.onmessage = function(e) {
        const data  = JSON.parse(
        //const count = omit(data, 'mz_timestamp', 'mz_diff', 'mz_progressed')
        const { mz_diff, mz_progressed } = data;
        data.forEach(entry => {
          if(entry.mz_diff == -1){
            console.log('Old count: ' + entry.count)
          } else {
            console.log('New count: ' + entry.count)
            let countDiv = document.getElementById("count");
            countDiv.innerHTML = entry.count;

A quick rundown of the main things to keep in mind:

  • new EventSource: First we define a new EventSource and specify our /visitors endpoint.
  • eventSource.onmessage: Then we listen for new messages to show in the EventStream.
  • JSON.parse( After that we parse our data
  • data.forEach: Finally we run a loop and update the total unique visitors counter on the page.

Now if you were to visit your AdonisJS application you would see the following output:

adonisjs Materialize event source

As you can see, rather than making a huge amount of AJAX requests, we just tap into the stream and keep our web page up to date with the latest changes from Materialize!


This is pretty much it! You've now built a web application using AdonisJS that connects to Materialize and pulls the number of unique visitors from your application as new data is logged.

As a next step, make sure to head over to the Materialize Docs and try out some of the available demos: Materialize Demos

To learn more about AdonisJS, you can also find the documentation here:

AdonisJS documentation

You can find a link to the AdonisJS source code from this demo here:

Streaming Data wiht Materialize and AdonisJS Demo files

To learn more about Streaming SQL, make sure to check out this post here:

Streaming SQL: What is it, why is it useful?

Hope that this was helpful!

First published here