This is a self-contained demo using . Materialize This demo would show you how to use Materialize with Airbyte to create a live dashboard. For this demo, we are going to monitor the orders on our demo website and generate events that could, later on, be used to send notifications when a cart has been abandoned for a long time. This demo is an extension of the tutorial but rather than using Debezium CDC, we are going to use Airbyte to incrementally extract the orders from MySQL over . How to join PostgreSQL and MySQL in a live Materialized view CDC Diagram: Prerequisites Before you get started, you need to make sure that you have Docker and Docker Compose installed. You can follow the steps here on how to install Docker: Installing Docker Note that Airbyte Cloud currently does not support Kafka as a destination, this is why we can only follow this demo with a self-hosted Airbyte instance. Running the Demo Note that for Mac with M1, you might have some issues with the Airbyte due to the following issue: https://github.com/airbytehq/airbyte/issues/2017 So I would recommend using an Ubuntu VM to run the demo. export DOCKER_BUILD_PLATFORM=linux/arm64 
export DOCKER_BUILD_ARCH=arm64 
export ALPINE_IMAGE=arm64v8/alpine:3.14 
export POSTGRES_IMAGE=arm64v8/postgres:13-alpine 
export JDK_VERSION=17 Start all services:

```bash
docker-compose up -d Airbyte Setup the Airbyte service by visiting and then follow the instructions. your_server_ip:8000 Adding a source We are going to use as our source where we will be extracting the orders from. MySQL Via the Airbyte UI, click on the tab and click on the button. Sources Add new source Fill in the following details: Name: orders Source type: MySQL Host: your_server_ip Port: 3306 Database: shop Username: airbyte Password: password Disable SSL Replication Method: CDC Finally, click on the button. Setup source Adding a destination Next, add a destination to Airbyte which will be used to send the events to. For this demo, we are going to use Redpanda but it will work just fine with Kafka. Start by clicking on the tab and click on the button and fill in the following details: Destinations Add new destination Name: redpanda Destination type: Kafka Next, fill up all of the required fields and click on the button. Setup destination Depending on your needs you might want to change some of the settings, but for this demo, we are going to use the defaults. The important things to note down for this demo are: The is Topic orders The is Bootstrap Servers redpanda:9092 Finally, click on the button. Save Set up a connection Now that you have a source and a destination, you need to set up a connection between them. This is needed so that Airbyte can send the events from the source to the destination based on a specific schedule like every day, every hour, every 5 minutes, etc. For this demo, we are going to use a 5-minute schedule. Hopefully, in the future, Airbyte will allow you to customize this and reduce the schedule to 1 minute for example. Click on the tab and click on the button and fill in the following details: Connections Add new connection Set the 'Replication frequency' to 5 minutes Set the 'Destination Namespace' to 'Mirror source structure' Set the source to and the 'Sync mode' to orders Incremental <img width="984" alt="image" src=" "> https://user-images.githubusercontent.com/21223421/158997265-6890282a-a997-495e-b723-265818c8ed24.png Next click on the 'Setup connection' button. And finally, click on the button to start the synchronization. Sync now It might take a few minutes for the connection to be established and the events to be sent. After the synchronization is done, you can see the events in the Redpanda topic that you have specified when you set up the destination. Let's take a look at how to do that! Check the Redpanda topic To check the auto-generated topic, you can run the following commands: Access the Redpanda container: docker-compose exec redpanda bash List the topics: rpk topic list Consume the topic: rpk topic consume orders_topic Note that if you've used a different topic name during the initial setup, you need to change it in the commands above. If you don't see the topic yet, it would be possible that you might have to wait a few extra minutes and also make sure that the service mock is up and running. ordergen Once you've verified that the topic has the CDC events, you can proceed and set up Materialize. Create a Materialize SOURCE Next, we need to create a in Materialize. SOURCE You can do that by heading back to your terminal and running the following commands: Access the container: mzcli docker-compose run mzcli Or if you have installed: psql psql -U materialize -h localhost -p 6875 materialize Create a Kafka by executing the following statement: SOURCE CREATE SOURCE airbyte_source
  FROM KAFKA BROKER 'redpanda:9092' TOPIC 'orders_topic'
  FORMAT BYTES; Note: change to the topic you've specified during the Airbyte setup. orders_topic Use to quickly see the data: TAIL COPY (
    TAIL (
        SELECT
            CAST(data->>'_airbyte_data' AS JSON) AS data
        FROM (
            SELECT CAST(data AS jsonb) AS data
                FROM (
                    SELECT * FROM (
                        SELECT convert_from(data, 'utf8') AS data FROM airbyte_source
                    )
                )
            )
        )
    )
TO STDOUT; You will see a stream of your data as Airbyte sends it to the destination and Materialize processes it with a very minimal, submillisecond delay. For more information on how to use , check out this blog post by : TAIL Joaquin Colacci Subscribe to changes in a view with TAIL in Materialize Create a Materialized View Now that we have a in Materialize, we can create a materialized . A materialized view, lets you retrieve incrementally updated results of your data using standard SQL queries very quickly. SOURCE VIEW To create a materialized view execute the following statement: CREATE MATERIALIZED VIEW airbyte_view AS
  SELECT
    data->>'id' AS id,
    data->>'user_id' AS user_id,
    data->>'order_status' AS order_status,
    data->>'price' AS price,
    data->>'created_at' AS created_at,
    data->>'updated_at' AS updated_at
    FROM (
        SELECT
            CAST(data->>'_airbyte_data' AS JSON) AS data
        FROM (
            SELECT CAST(data AS jsonb) AS data
            FROM (
                SELECT * FROM (
                    SELECT convert_from(data, 'utf8') AS data FROM airbyte_source
                )
            )
        )
    ); Next, run a query to see the data: SELECT * FROM airbyte_view; To visualize the data, you can use a BI tool like or alternatively, as Materialize is Postgres wire-compatible, you can use your favorite programming language and build your own dashboard. For more information on the supported tools and integrations, check out the Metabase Materialized Views documentation Stop the demo To stop the demo, run: docker-compose down -v Useful links Materialize Airbyte Materialize Cloud Materialize demos Redpanda For a similar version of this demo using Debezium, check out the post here: How to join MySQL and Postgres in a live materialized view Community If you have any questions or comments, please join the ! Materialize Slack Community Also Published here

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Build a Live Dashboard with Materialize, Airbyte, MySQL and Redpanda/Kafka

Build a Live Dashboard with Materialize, Airbyte, MySQL and Redpanda/Kafka

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