Getting Started with ScalarDB Cluster SQL via JDBC

This tutorial describes how to create a sample application by using ScalarDB Cluster SQL via JDBC.

Prerequisites for this sample application

• OpenJDK LTS version (8, 11, 17, or 21) from Eclipse Temurin
• ScalarDB Cluster running on a Kubernetes cluster
  • We assume that you have a ScalarDB Cluster running on a Kubernetes cluster that you deployed by following the instructions in Set Up ScalarDB Cluster on Kubernetes by Using a Helm Chart.

note

This sample application has been tested with OpenJDK from Eclipse Temurin. ScalarDB itself, however, has been tested with JDK distributions from various vendors. For details about the requirements for ScalarDB, including compatible JDK distributions, please see Requirements.

Sample application

This tutorial illustrates the process of creating a sample e-commerce application, where items can be ordered and paid for with a line of credit by using ScalarDB JDBC.

The following diagram shows the system architecture of the sample application:

                                 +------------------------------------------------------------------------------------------------------------------------------+
                                 | [Kubernetes Cluster]                                                                                                         |
                                 |                                                                                                                              |
                                 |                          [Pod]                                                     [Pod]                         [Pod]       |
 +------------------------+      |                                                                                                                              |
 |        SQL CLI         |      |                        +-------+                                          +-----------------------+                          |
 | (indirect client mode) | --+  |                  +---> | Envoy | ---+                               +---> | ScalarDB Cluster Node | ---+                     |
 +------------------------+   |  |                  |     +-------+    |                               |     +-----------------------+    |                     |
                              |  |                  |                  |                               |                                  |                     |
                              |  |   +---------+    |     +-------+    |     +--------------------+    |     +-----------------------+    |     +------------+  |
                              +--+-> | Service | ---+---> | Envoy | ---+---> |      Service       | ---+---> | ScalarDB Cluster Node | ---+---> | PostgreSQL |  |
                              |  |   | (Envoy) |    |     +-------+    |     | (ScalarDB Cluster) |    |     +-----------------------+    |     +------------+  |
 +------------------------+   |  |   +---------+    |                  |     +--------------------+    |                                  |                     |
 |   Sample application   |   |  |                  |     +-------+    |                               |     +-----------------------+    |                     |
 |   with ScalarDB JDBC   | --+  |                  +---> | Envoy | ---+                               +---> | ScalarDB Cluster Node | ---+                     |
 | (indirect client mode) |      |                        +-------+                                          +-----------------------+                          |
 +------------------------+      |                                                                                                                              |
                                 +------------------------------------------------------------------------------------------------------------------------------+

Step 1. Clone the ScalarDB Samples repository

git clone https://github.com/scalar-labs/scalardb-samples.git
cd scalardb-samples/scalardb-sql-jdbc-sample

Step 2. Modify scalardb-sql.properties

You need to modify scalardb-sql.properties to connect to ScalarDB Cluster as well. But before doing so, you need to get the EXTERNAL-IP address of the service resource of Envoy (scalardb-cluster-envoy) as follows:

kubectl get svc scalardb-cluster-envoy
NAME                     TYPE           CLUSTER-IP      EXTERNAL-IP   PORT(S)           AGE
scalardb-cluster-envoy   LoadBalancer   10.105.121.51   localhost     60053:30641/TCP   16h

In this case, the EXTERNAL-IP address is localhost.

Next, open scalardb-sql.properties:

vim scalardb-sql.properties

Then, modify scalardb-sql.properties as follows:

scalar.db.sql.connection_mode=cluster
scalar.db.sql.cluster_mode.contact_points=indirect:localhost

To connect to ScalarDB Cluster, you need to specify cluster for the scalar.db.sql.connection_mode property. In addition, you will use the indirect client mode and connect to the service resource of Envoy in this tutorial. For details about the client modes, see Developer Guide for ScalarDB Cluster with the Java API.

Step 3. Load a schema

To load a schema, you need to use the SQL CLI. You can download the SQL CLI from ScalarDB Releases. After downloading the JAR file, you can use SQL CLI for Cluster by running the following command:

java -jar scalardb-cluster-sql-cli-3.13.1-all.jar --config scalardb-sql.properties --file schema.sql

Step 4. Load the initial data

Before running the sample application, you need to load the initial data by running the following command:

./gradlew run --args="LoadInitialData"

After the initial data has loaded, the following records should be stored in the tables:

• For the sample.customers table:

customer_id	name	credit_limit	credit_total
1	Yamada Taro	10000	0
2	Yamada Hanako	10000	0
3	Suzuki Ichiro	10000	0

• For the sample.items table:

item_id	name	price
1	Apple	1000
2	Orange	2000
3	Grape	2500
4	Mango	5000
5	Melon	3000

Step 5. Run the sample application

Let's start with getting information about the customer whose ID is 1:

./gradlew run --args="GetCustomerInfo 1"
...
{"id": 1, "name": "Yamada Taro", "credit_limit": 10000, "credit_total": 0}
...

Then, place an order for three apples and two oranges by using customer ID 1. Note that the order format is <Item ID>:<Count>,<Item ID>:<Count>,...:

./gradlew run --args="PlaceOrder 1 1:3,2:2"
...
{"order_id": "454f9c97-f456-44fd-96da-f527187fe39b"}
...

You can see that running this command shows the order ID.

Let's check the details of the order by using the order ID:

./gradlew run --args="GetOrder 454f9c97-f456-44fd-96da-f527187fe39b"
...
{"order": {"order_id": "454f9c97-f456-44fd-96da-f527187fe39b","timestamp": 1685602722821,"customer_id": 1,"customer_name": "Yamada Taro","statement": [{"item_id": 1, "name": "Apple", "price": 1000, "count": 3},{"item_id": 2, "name": "Orange", "price": 2000, "count": 2}],"total": 7000}}
...

Then, let's place another order and get the order history of customer ID 1:

./gradlew run --args="PlaceOrder 1 5:1"
...
{"order_id": "3f40c718-59ec-48aa-a6fe-2fdaf12ad094"}
...
./gradlew run --args="GetOrders 1"
...
{"order": [{"order_id": "454f9c97-f456-44fd-96da-f527187fe39b","timestamp": 1685602722821,"customer_id": 1,"customer_name": "Yamada Taro","statement": [{"item_id": 1, "name": "Apple", "price": 1000, "count": 3},{"item_id": 2, "name": "Orange", "price": 2000, "count": 2}],"total": 7000},{"order_id": "3f40c718-59ec-48aa-a6fe-2fdaf12ad094","timestamp": 1685602811718,"customer_id": 1,"customer_name": "Yamada Taro","statement": [{"item_id": 5, "name": "Melon", "price": 3000, "count": 1}],"total": 3000}]}
...

This order history is shown in descending order by timestamp.

The customer's current credit_total is 10000. Since the customer has now reached their credit_limit, which was shown when retrieving their information, they cannot place anymore orders.

./gradlew run --args="GetCustomerInfo 1"
...
{"id": 1, "name": "Yamada Taro", "credit_limit": 10000, "credit_total": 10000}
...
./gradlew run --args="PlaceOrder 1 3:1,4:1"
...
java.lang.RuntimeException: Credit limit exceeded
        at sample.Sample.placeOrder(Sample.java:184)
        at sample.command.PlaceOrderCommand.call(PlaceOrderCommand.java:32)
        at sample.command.PlaceOrderCommand.call(PlaceOrderCommand.java:8)
        at picocli.CommandLine.executeUserObject(CommandLine.java:2041)
        at picocli.CommandLine.access$1500(CommandLine.java:148)
        at picocli.CommandLine$RunLast.executeUserObjectOfLastSubcommandWithSameParent(CommandLine.java:2461)
        at picocli.CommandLine$RunLast.handle(CommandLine.java:2453)
        at picocli.CommandLine$RunLast.handle(CommandLine.java:2415)
        at picocli.CommandLine$AbstractParseResultHandler.execute(CommandLine.java:2273)
        at picocli.CommandLine$RunLast.execute(CommandLine.java:2417)
        at picocli.CommandLine.execute(CommandLine.java:2170)
        at sample.command.SampleCommand.main(SampleCommand.java:35)
...

After making a payment, the customer will be able to place orders again.

./gradlew run --args="Repayment 1 8000"
...
./gradlew run --args="GetCustomerInfo 1"
...
{"id": 1, "name": "Yamada Taro", "credit_limit": 10000, "credit_total": 2000}
...
./gradlew run --args="PlaceOrder 1 3:1,4:1"
...
{"order_id": "fb71279d-88ea-4974-a102-0ec4e7d65e25"}
...

Source code of the sample application

To learn more about ScalarDB Cluster SQL JDBC, you can check the source code of the sample application.

See also

For other ScalarDB Cluster tutorials, see the following:

• Getting Started with ScalarDB Cluster
• Getting Started with ScalarDB Cluster GraphQL
• Getting Started with ScalarDB Cluster SQL via Spring Data JDBC for ScalarDB
• Getting Started with Using Go for ScalarDB Cluster
• Getting Started with Using Python for ScalarDB Cluster

For details about developing applications that use ScalarDB Cluster with the Java API, refer to the following:

• Developer Guide for ScalarDB Cluster with the Java API

For details about the ScalarDB Cluster gRPC API, refer to the following:

• ScalarDB Cluster gRPC API Guide
• ScalarDB Cluster SQL gRPC API Guide