Version: 3.9

Sample application of Spring Data JDBC for ScalarDB with Multi-storage Transactions

This tutorial describes how to create a sample Spring Boot application by using Spring Data JDBC for ScalarDB with Multi-storage Transactions.

Prerequisites for this sample application

One of the following Java Development Kits (JDKs):
- Oracle JDK 8
- OpenJDK 8 from Eclipse Temurin, Amazon Corretto, or Microsoft
Docker 20.10 or later with Docker Compose V2 or later

note

This sample application only works with Java 8. However, ScalarDB itself works with Java LTS versions, which means that you can use Java LTS versions for your application that uses ScalarDB. For details on the requirements of ScalarDB, such as which Java versions can be used, see Requirements.

warning

You need to have a license key (trial license or commercial license) to use ScalarDB Cluster. If you don't have a license key, please contact us.

Sample application

Overview

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 the multi-storage transactions feature in ScalarDB.

note

Application-specific error handling, authentication processing, etc. are omitted in the sample application since this tutorial focuses on explaining how to use Spring Data JDBC for ScalarDB with multi-storage transactions.

For details, see Guide of Spring Data JDBC for ScalarDB.

Overview

The application accesses the databases through ScalarDB Cluster.

Schema

The schema is as follows:

CREATE COORDINATOR TABLES IF NOT EXIST;

CREATE NAMESPACE IF NOT EXISTS customer;

CREATE TABLE IF NOT EXISTS customer.customers (
  customer_id INT PRIMARY KEY,
  name TEXT,
  credit_limit INT,
  credit_total INT
);

CREATE NAMESPACE IF NOT EXISTS "order";

CREATE TABLE IF NOT EXISTS "order".orders (
  customer_id INT,
  timestamp BIGINT,
  order_id TEXT,
  PRIMARY KEY (customer_id, timestamp)
);

CREATE INDEX IF NOT EXISTS ON "order".orders (order_id);

CREATE TABLE IF NOT EXISTS "order".statements (
  order_id TEXT,
  item_id INT,
  count INT,
  PRIMARY KEY (order_id, item_id)
);

CREATE TABLE IF NOT EXISTS "order".items (
  item_id INT PRIMARY KEY,
  name TEXT,
  price INT
);

All the tables are created in the customer and order namespaces.

customer.customers: a table that manages customers' information
- credit_limit: the maximum amount of money a lender will allow each customer to spend when using a credit card
- credit_total: the amount of money that each customer has already spent by using the credit card
order.orders: a table that manages order information
order.statements: a table that manages order statement information
order.items: a table that manages information of items to be ordered

The Entity Relationship Diagram for the schema is as follows:

ERD

Transactions

The following five transactions are implemented in this sample application:

Getting customer information
Placing an order by credit card (checks if the cost of the order is below the credit limit, then records order history and updates the credit_total if the check passes)
Getting order information by order ID
Getting order information by customer ID
Repayment (reduces the amount in the credit_total)

Configuration for ScalarDB Cluster

The configuration for ScalarDB Cluster are as follows:

scalar.db.storage=multi-storage
scalar.db.multi_storage.storages=cassandra,mysql
scalar.db.multi_storage.storages.cassandra.storage=cassandra
scalar.db.multi_storage.storages.cassandra.contact_points=cassandra-1
scalar.db.multi_storage.storages.cassandra.username=cassandra
scalar.db.multi_storage.storages.cassandra.password=cassandra
scalar.db.multi_storage.storages.mysql.storage=jdbc
scalar.db.multi_storage.storages.mysql.contact_points=jdbc:mysql://mysql-1:3306/
scalar.db.multi_storage.storages.mysql.username=root
scalar.db.multi_storage.storages.mysql.password=mysql
scalar.db.multi_storage.namespace_mapping=customer:mysql,order:cassandra,coordinator:cassandra
scalar.db.multi_storage.default_storage=cassandra

scalar.db.cluster.node.standalone_mode.enabled=true
scalar.db.sql.enabled=true

# License key configurations
scalar.db.cluster.node.licensing.license_key=
scalar.db.cluster.node.licensing.license_check_cert_pem=

scalar.db.storage: Specifying multi-storage is necessary to use Multi-storage Transactions in ScalarDB.
scalar.db.multi_storage.storages: Your storage names must be defined here.
scalar.db.multi_storage.storages.cassandra.*: These configurations are for the cassandra storage, which is one of the storage names defined in scalar.db.multi_storage.storages. You can configure all the scalar.db.* properties for the cassandra storage here.
scalar.db.multi_storage.storages.mysql.*: These configurations are for the mysql storage, which is one of the storage names defined in scalar.db.multi_storage.storages. You can configure all the scalar.db.* properties for the mysql storage here.
scalar.db.multi_storage.namespace_mapping: This configuration maps the namespaces to the storage. In this sample application, operations for customer namespace tables are mapped to the mysql storage and operations for order namespace tables are mapped to the cassandra storage. You can also define which storage is mapped for the coordinator namespace that is used in Consensus Commit transactions.
scalar.db.multi_storage.default_storage: This configuration sets the default storage that is used for operations on unmapped namespace tables.

For details, see Multi-Storage Transactions.

In this sample application, ScalarDB Cluster is running in standalone mode (scalar.db.cluster.node.standalone_mode.enabled=true).

Also, you need to set the license key (trial license or commercial license) for ScalarDB Cluster in the configuration file. For details, see How to Configure a Product License Key.

Client Configuration

The client configuration is as follows:

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

Setup

Clone the ScalarDB samples repository

Open Terminal, then clone the ScalarDB samples repository by running the following command:

git clone https://github.com/scalar-labs/scalardb-samples

Then, go to the directory with this sample by running the following command:

cd scalardb-samples/spring-data-multi-storage-transaction-sample

Set the license key

Set the license key (trial license or commercial license) for the ScalarDB Clusters in the configuration file scalardb-cluster-node.properties. For details, see How to Configure a Product License Key.

Start Cassandra, MySQL, and ScalarDB Cluster

To start Cassandra, MySQL, and ScalarDB Cluster, you need to run the following docker-compose command:

docker-compose up -d

Please note that starting the containers may take more than one minute.

Load schema

You then need to apply the schema with the following command. To download the SQL CLI tool, scalardb-cluster-sql-cli-<VERSION>-all.jar, see the Releases of ScalarDB and download the version that you want to use.

java -jar scalardb-cluster-sql-cli-<VERSION>-all.jar --config scalardb-sql.properties --file schema.sql

Load initial data

After the containers have started, 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 customer.customers table:

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

For the order.items table:

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

Run the sample application

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

./gradlew run --args="GetCustomerInfo 1"
...
{"customer_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":"5d49eb62-fcb9-4dd2-9ae5-e714d989937f","customer_id":1,"timestamp":1677564659810}
...

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 5d49eb62-fcb9-4dd2-9ae5-e714d989937f"
...
{"order_id":"5d49eb62-fcb9-4dd2-9ae5-e714d989937f","timestamp":1677564659810,"customer_id":1,"customer_name":"Yamada Taro","statements":[{"item_id":1,"item_name":"Apple","price":1000,"count":3,"total":3000},{"item_id":2,"item_name":"Orange","price":2000,"count":2,"total":4000}],"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":"ccd97d75-ee57-4393-a0bb-5230c4a8c68a","customer_id":1,"timestamp":1677564776069}
...
./gradlew run --args="GetOrders 1"
...
[{"order_id":"ccd97d75-ee57-4393-a0bb-5230c4a8c68a","timestamp":1677564776069,"customer_id":1,"customer_name":"Yamada Taro","statements":[{"item_id":5,"item_name":"Melon","price":3000,"count":1,"total":3000}],"total":3000},{"order_id":"5d49eb62-fcb9-4dd2-9ae5-e714d989937f","timestamp":1677564659810,"customer_id":1,"customer_name":"Yamada Taro","statements":[{"item_id":1,"item_name":"Apple","price":1000,"count":3,"total":3000},{"item_id":2,"item_name":"Orange","price":2000,"count":2,"total":4000}],"total":7000}]
...

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"
...
{"customer_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. limit:10000, total:17500
        at sample.SampleService.placeOrder(SampleService.java:102)
        at sample.SampleService$$FastClassBySpringCGLIB$$1123c447.invoke(<generated>)
        at org.springframework.cglib.proxy.MethodProxy.invoke(MethodProxy.java:218)
        at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.invokeJoinpoint(CglibAopProxy.java:793)
        at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:163)
        at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:763)
        at org.springframework.transaction.interceptor.TransactionInterceptor$1.proceedWithInvocation(TransactionInterceptor.java:123)
        at org.springframework.transaction.interceptor.TransactionAspectSupport.invokeWithinTransaction(TransactionAspectSupport.java:388)
        at org.springframework.transaction.interceptor.TransactionInterceptor.invoke(TransactionInterceptor.java:119)
        at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:186)
        at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:763)
        at org.springframework.aop.framework.CglibAopProxy$DynamicAdvisedInterceptor.intercept(CglibAopProxy.java:708)
        at sample.SampleService$$EnhancerBySpringCGLIB$$1cb0cc8c.placeOrder(<generated>)
        at sample.command.PlaceOrderCommand.call(PlaceOrderCommand.java:37)
        at sample.command.PlaceOrderCommand.call(PlaceOrderCommand.java:13)
        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.SampleApp.run(SampleApp.java:26)
        at org.springframework.boot.SpringApplication.callRunner(SpringApplication.java:768)
        at org.springframework.boot.SpringApplication.callRunners(SpringApplication.java:752)
        at org.springframework.boot.SpringApplication.run(SpringApplication.java:314)
        at org.springframework.boot.SpringApplication.run(SpringApplication.java:1303)
        at org.springframework.boot.SpringApplication.run(SpringApplication.java:1292)
        at sample.SampleApp.main(SampleApp.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"
...
{"customer_id":1,"name":"Yamada Taro","credit_limit":10000,"credit_total":2000}
...
./gradlew run --args="PlaceOrder 1 3:1,4:1"
...
{"order_id":"3ac4a1bf-a724-4f26-b948-9f03281a971e","customer_id":1,"timestamp":1677565028204}
...

Cleanup

To stop Cassandra, MySQL, and ScalarDB Cluster, run the following command:

docker-compose down

Prerequisites for this sample application​

Sample application​

Overview​

Schema​

Transactions​

Configuration for ScalarDB Cluster​

Client Configuration​

Setup​

Clone the ScalarDB samples repository​

Set the license key​

Start Cassandra, MySQL, and ScalarDB Cluster​

Load schema​

Load initial data​

Run the sample application​

Cleanup​

Prerequisites for this sample application

Sample application

Overview

Schema

Transactions

Configuration for ScalarDB Cluster

Client Configuration

Setup

Clone the ScalarDB samples repository

Set the license key

Start Cassandra, MySQL, and ScalarDB Cluster

Load schema

Load initial data

Run the sample application

Cleanup