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Query materialized views with Java, Spring, and streaming database

Let's assume we have a materialized view named restaurant_orders_view that calculates the number of total orders created from different restaurants within the last 15 mins in real-time. Now our task is to expose this materialized view result as an API endpoint in an Order service to /orders/count-total-restaurant-orders.
In Java, you can query materialized views using JDBC, which is a Java API for connecting to databases. Additionally, you can leverage the Spring Framework to simplify the process of working with JDBC and build a REST API.

Before You Begin

This tutorial consists of setting up two projects:

  • We will spin up on our local environment the existing RisingWave fully-featured demo cluster on GitHub which is composed of multiple RisingWave components. To simplify this task, it leverages [docker-compose.yaml](Docker Compose) file which includes additional containers for Kafka message broker, and data generation service.
  • Spring boot application, a Maven project with the necessary dependencies and we will also run it locally.

To complete this tutorial, you need the following:

Step 1: Setting Up the demo cluster

First, clone the RisingWave repository to your local environment.

git clone https://github.com/risingwavelabs/risingwave.git

Then, navigate to the integration_tests/delivery directory and start the demo cluster from the docker compose file.

cd risingwave/integration_tests/delivery
docker compose up -d

Make sure that all containers are up and running!

Step 2: Copy and open the Spring Boot app.

Once the streaming database is set up, we will run our Spring Boot app. Also, fork/clone the project and open it in your Java editor.

git clone https://github.com/Boburmirzo/risingwave-java-spring.git

Step 3: Install the project.

Then do mvn clean install from the project root folder. In the maven pom.xml file, we added the postgresql dependency and the spring-boot-starter-jdbc driver dependency to our project. These dependencies will provide the necessary classes and interfaces to work with JDBC in Spring.

Step 4: Run the demo RisingWave application.

Now we can run our main DemoRisingWaveApplication.java from the editor. After you run the application, you access the endpoint on port 8080 or open this URL on your browser. http://localhost:8080/orders/count-total-restaurant-orders. You will get the materialized view response from RisingWave.

[["2023-05-06T05:28:00.000+00:00",1,1],["2023-05-06T05:33:00.000+00:00",1,3...]]

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