Sample application of Spring Data JDBC for ScalarDB with Microservice Transactions
This tutorial describes how to create a sample Spring Boot application for microservice transactions by using Spring Data JDBC for ScalarDB.
For details about these features, see Two-phase Commit Transactions and Guide of Spring Data JDBC for ScalarDB.
Prerequisites for this sample application
- OpenJDK LTS version (8, 11, 17, or 21) from Eclipse Temurin
- Docker 20.10 or later with Docker Compose V2 or later
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.
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 through transactions with a two-phase commit interface in ScalarDB.
There are two microservices called the Customer Service and the Order Service based on the Database-per-service pattern in this sample application.
The Customer Service manages customers' information including credit card information like a credit limit and a credit total. The Order Service is responsible for order operations like placing an order and getting order histories. Each service has gRPC endpoints. Clients call the endpoints, and the services call the endpoints each other as well. The Customer Service and the Order Service use MySQL and Cassandra through ScalarDB, respectively.
Each service accesses the databases through its own dedicated ScalarDB Cluster.
Both ScalarDB Clusters access a small coordinator database used for the Consensus Commit protocol. In this sample application, for ease of setup and explanation, the coordinator database is co-located in the same Cassandra instance of the Order Service, but of course, the coordinator database can be managed as a separate database.
Also, application-specific error handling, authentication processing, etc. are omitted in the sample application since it focuses on explaining how to use ScalarDB. For details about handling exceptions in ScalarDB, see How to handle exceptions.
Service endpoints
The endpoints defined in the services are as follows:
-
Customer Service
getCustomerInfo
payment
prepare
validate
commit
rollback
repayment
-
Order Service
placeOrder
getOrder
getOrders
What you can do in this sample application
The sample application supports the following types of transactions:
- Get customer information through the
getCustomerInfo
endpoint of the Customer Service. - Place an order by using a line of credit through the
placeOrder
endpoint of the Order Service and thepayment
,prepare
,validate
,commit
, androllback
endpoints of the Customer Service.- Checks if the cost of the order is below the customer's credit limit.
- If the check passes, records the order history and updates the amount the customer has spent.
- Get order information by order ID through the
getOrder
endpoint of the Order Service and thegetCustomerInfo
,prepare
,validate
,commit
, androllback
endpoints of the Customer Service. - Get order information by customer ID through the
getOrders
endpoint of the Order Service and thegetCustomerInfo
,prepare
,validate
,commit
, androllback
endpoints of the Customer Service. - Make a payment through the
repayment
endpoint of the Customer Service.- Reduces the amount the customer has spent.
The getCustomerInfo
endpoint works as a participant service endpoint when receiving a transaction ID from the coordinator.
Configuration for ScalarDB Cluster
The configuration for ScalarDB Cluster for the Customer Service is 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_service:mysql,coordinator:cassandra
scalar.db.multi_storage.default_storage=mysql
scalar.db.consensus_commit.isolation_level=SERIALIZABLE
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.sql.connection_mode
: This configuration decides how to connect to ScalarDB.scalar.db.storage
: Specifyingmulti-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 thecassandra
storage, which is one of the storage names defined inscalar.db.multi_storage.storages
. You can configure all thescalar.db.*
properties for thecassandra
storage here.scalar.db.multi_storage.storages.mysql.*
: These configurations are for themysql
storage, which is one of the storage names defined inscalar.db.multi_storage.storages
. You can configure all thescalar.db.*
properties for themysql
storage here.scalar.db.multi_storage.namespace_mapping
: This configuration maps the namespaces to the storage. In this sample application, operations forcustomer_service
namespace tables are mapped to themysql
storage and operations fororder_service
namespace tables are mapped to thecassandra
storage. You can also define which storage is mapped for thecoordinator
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.scalar.db.sql.default_transaction_mode
: Specifyingtwo_phase_commit_transaction
is necessary to use Two-Phase Commit Transactions mode in ScalarDB.scalar.db.consensus_commit.isolation_level
: This configuration decides the isolation level used for ConsensusCommit.
For details, see Multi-Storage Transactions.
The configuration for ScalarDB Cluster for the Order Service is as follows:
scalar.db.storage=cassandra
scalar.db.contact_points=cassandra-1
scalar.db.username=cassandra
scalar.db.password=cassandra
scalar.db.consensus_commit.isolation_level=SERIALIZABLE
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
:cassandra
is specified since this servcise uses only Cassandra as an underlying database.scalar.db.contact_points
: This configuration specifies the contact points (e.g., host) for connecting to Cassandra.scalar.db.username
: This configuration specifies the username for connecting to Cassandra.scalar.db.password
: This configuration specifies the password for connecting to Cassandra.scalar.db.sql.default_namespace_name
: This configuration sets the default namespace toorder_service
, eliminating the need for the application to specify namespaces.scalar.db.sql.default_transaction_mode
: Specifyingtwo_phase_commit_transaction
is necessary to use Two-Phase Commit Transactions mode in ScalarDB.scalar.db.consensus_commit.isolation_level
: This configuration decides the isolation level used for ConsensusCommit.
In this sample application, the ScalarDB Clusters are 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 the ScalarDB Clusters in the configuration file. For details, see How to Configure a Product License Key.
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-microservice-transaction-sample
Set the license key
Set the license key (trial license or commercial license) for the ScalarDB Clusters in the configuration files scalardb-cluster-node-for-customer-service.properties
and scalardb-cluster-node-for-order-service.properties
. For details, see How to Configure a Product License Key.
Start Cassandra, MySQL, and ScalarDB Clusters
To start Cassandra, MySQL, and ScalarDB Clusters, you need to run the following docker-compose
command:
docker-compose up -d cassandra mysql scalardb-cluster-node-for-customer-service scalardb-cluster-node-for-order-service
You will need to wait more than one minute for the containers to be fully started.
Load schema
The database schema (the method in which the data will be organized) for the sample application has already been defined in schema-for-customer-service.sql
for the Customer Service and schema-for-order-service.sql
for the Order Service.
To apply the schema, go to the ScalarDB Releases page and download the SQL CLI tool that matches the version of ScalarDB that you want to use.
MySQL
To load the schema for schema-for-customer-service.sql
into MySQL, run the following command, replacing <VERSION>
with the version of the ScalarDB Schema Loader that you downloaded:
java -jar scalardb-cluster-sql-cli-<VERSION>-all.jar --config scalardb-cluster-node-for-customer-service-client.properties --file schema-for-customer-service.sql
Cassandra
To load the schema for schema-for-order-service.sql
into Cassandra, run the following command, replacing <VERSION>
with the version of the ScalarDB Schema Loader that you downloaded:
java -jar scalardb-cluster-sql-cli-<VERSION>-all.jar --config scalardb-cluster-node-for-order-service-client.properties --file schema-for-order-service.sql
Schema details
As shown in schema-for-customer-service.sql
, all the tables for the Customer Service are created in the customer_service
namespace.
customer_service.customers
: a table that manages customers' informationcredit_limit
: the maximum amount of money a lender will allow each customer to spend when using a line of creditcredit_total
: the amount of money that each customer has already spent by using their line of credit
As shown in schema-for-order-service.sql
, all the tables for the Order Service are created in the order_service
namespace.
order_service.orders
: a table that manages order informationorder_service.statements
: a table that manages order statement informationorder_service.items
: a table that manages information of items to be ordered
The Entity Relationship Diagram for the schema is as follows:
Start Microservices
First, you need to build the docker images of the sample application with the following command:
./gradlew docker
Then, you can start the microservices with the following docker-compose
command:
docker-compose up -d customer-service order-service
Initial data
When the microservices start, the initial data is loaded automatically.
After the initial data has loaded, the following records should be stored in the tables:
- For the
customer_service.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
order_service.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 :client:run --args="GetCustomerInfo 1"
...
{"id": 1,"name": "Yamada Taro","credit_limit": 10000}
...
At this time, credit_total
isn't shown, which means the current value of credit_total
is 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 :client:run --args="PlaceOrder 1 1:3,2:2"
...
{"order_id": "415a453b-cfee-4c48-b8f6-d103d3e10bdb"}
...
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 :client:run --args="GetOrder 415a453b-cfee-4c48-b8f6-d103d3e10bdb"
...
{"order": {"order_id": "415a453b-cfee-4c48-b8f6-d103d3e10bdb","timestamp": 1686555272435,"customer_id": 1,"customer_name": "Yamada Taro","statement": [{"item_id": 1,"item_name": "Apple","price": 1000,"count": $
,"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 :client:run --args="PlaceOrder 1 5:1"
...
{"order_id": "069be075-98f7-428c-b2e0-6820693fc41b"}
...
./gradlew :client:run --args="GetOrders 1"
...
{"order": [{"order_id": "069be075-98f7-428c-b2e0-6820693fc41b","timestamp": 1686555279366,"customer_id": 1,"customer_name": "Yamada Taro","statement": [{"item_id": 5,"item_name": "Melon","price": 3000,"count": 1,"total": 3000}],"total": 3000},{"order_id": "415a453b-cfee-4c48-b8f6-d103d3e10bdb","timestamp": 1686555272435,"customer_id": 1,"customer_name": "Yamada Taro","statement": [{"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 :client:run --args="GetCustomerInfo 1"
...
{"id": 1,"name": "Yamada Taro","credit_limit": 10000,"credit_total": 10000}
...
./gradlew :client:run --args="PlaceOrder 1 3:1,4:1"
...
io.grpc.StatusRuntimeException: FAILED_PRECONDITION: Credit limit exceeded. creditTotal:10000, payment:7500
at io.grpc.stub.ClientCalls.toStatusRuntimeException(ClientCalls.java:271)
at io.grpc.stub.ClientCalls.getUnchecked(ClientCalls.java:252)
at io.grpc.stub.ClientCalls.blockingUnaryCall(ClientCalls.java:165)
at sample.rpc.OrderServiceGrpc$OrderServiceBlockingStub.placeOrder(OrderServiceGrpc.java:296)
at sample.client.command.PlaceOrderCommand.call(PlaceOrderCommand.java:38)
at sample.client.command.PlaceOrderCommand.call(PlaceOrderCommand.java:12)
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.client.Client.main(Client.java:39)
...
After making a payment, the customer will be able to place orders again.
./gradlew :client:run --args="Repayment 1 8000"
...
./gradlew :client:run --args="GetCustomerInfo 1"
...
{"id": 1,"name": "Yamada Taro","credit_limit": 10000,"credit_total": 2000}
...
./gradlew :client:run --args="PlaceOrder 1 3:1,4:1"
...
{"order_id": "b6adabd8-0a05-4109-9618-3420fea3161f"}
...
Clean up
To stop Cassandra, MySQL and the Microservices, run the following command:
docker-compose down
Reference - How the microservice transaction is achieved
The transactions for placing an order, getting a single order, and getting the history of orders achieve the microservice transaction. This section focuses on how the transactions that span the Customer Service and the Order Service are implemented by placing an order as an example.
The following sequence diagram shows the transaction for placing an order:
1. Transaction with a two-phase commit interface is started
When a client sends a request to place an order to the Order Service, OrderService.placeOrder()
is called, and the microservice transaction starts.
At first, the Order Service starts a transaction with a two-phase commit interface with ScalarDbTwoPcRepository.executeTwoPcTransaction()
as follows. For reference, see OrderService.java
.
// Start a two-phase commit interface transaction
TwoPcResult<String> result = orderRepository.executeTwoPcTransaction(txId -> {
...
}, ...);
The actions in CRUD operations are executed, Transaction is committed by using the two-phase commit protocol, and Error handling are automatically performed by the API.
2. CRUD operations are executed
After the transaction with a two-phase commit interface starts, CRUD operations are executed by ScalarDbTwoPcRepository.executeTwoPcTransaction()
. The Order Service puts the order information in the order_service.orders
table and the detailed information in the order_service.statements
table as follows. For reference, see OrderService.java
.
// Put the order info into the `orders` table
orderRepository.insert(order);
AtomicInteger amount = new AtomicInteger();
for (ItemOrder itemOrder : request.getItemOrderList()) {
int itemId = itemOrder.getItemId();
int count = itemOrder.getCount();
// Retrieve the item info from the `items` table
Optional<Item> itemOpt = itemRepository.findById(itemId);
if (!itemOpt.isPresent()) {
String message = "Item not found: " + itemId;
responseObserver.onError(
Status.NOT_FOUND.withDescription(message).asRuntimeException());
throw new ScalarDbNonTransientException(message);
}
Item item = itemOpt.get();
int cost = item.price * count;
// Put the order statement into the `statements` table
statementRepository.insert(new Statement(itemId, orderId, count));
// Calculate the total amount
amount.addAndGet(cost);
}
Then, the Order Service calls the payment
gRPC endpoint of the Customer Service along with the transaction ID. For reference, see OrderService.java
.
customerServiceStub.payment(
PaymentRequest.newBuilder()
.setTransactionId(transactionId)
.setCustomerId(customerId)
.setAmount(amount)
.build());
The payment
endpoint of the Customer Service first joins the transaction with ScalarDbTwoPcRepository.joinTransactionOnParticipant()
as follows. For reference, see CustomerService.java
.
customerRepository.joinTransactionOnParticipant(request.getTransactionId(), ...);
The endpoint then gets the customer information and checks if the customer's credit total exceeds the credit limit after the payment. If the credit total does not exceed the credit limit, the endpoint updates the customer's credit total. For reference, see CustomerService.java
.
Customer customer = getCustomer(responseObserver, request.getCustomerId());
int updatedCreditTotal = customer.creditTotal + request.getAmount();
// Check if the credit total exceeds the credit limit after payment
if (updatedCreditTotal > customer.creditLimit) {
String message = String.format(
"Credit limit exceeded. creditTotal:%d, payment:%d", customer.creditTotal, request.getAmount());
responseObserver.onError(
Status.FAILED_PRECONDITION.withDescription(message).asRuntimeException());
throw new ScalarDbNonTransientException(message);
}
// Reduce `credit_total` for the customer
customerRepository.update(customer.withCreditTotal(updatedCreditTotal));
3. Transaction is committed by using the two-phase commit protocol
After the Order Service receives the update that the payment succeeded, the Order Service tries to commit the transaction.
The ScalarDbTwoPcRepository.executeTwoPcTransaction()
API, which called on the Order Service, automatically performs preparations, validations, and commits of both the local Order Service and the remote Customer Service. These steps are executed sequentially after the above CRUD operations successfully finish. The implementations to invoke prepare
, validate
, and commit
gRPC endpoints of the Customer Service need to be passed as parameters to the API. For reference, see OrderService.java
.
TwoPcResult<PlaceOrderResponse> result = orderRepository.executeTwoPcTransaction(txId ->{
...
},
Collections.singletonList(
RemotePrepareCommitPhaseOperations.createSerializable(
this::callPrepareEndpoint,
this::callValidateEndpoint,
this::callCommitEndpoint,
this::callRollbackEndpoint
)
)
);
In the prepare
endpoint of the Customer Service, the endpoint resumes and prepares the transaction by using ScalarDbTwoPcRepository.prepareTransactionOnParticipant()
. For reference, see CustomerService.java
.
customerRepository.prepareTransactionOnParticipant(request.getTransactionId());
In the validate
endpoint of the Customer Service, the endpoint resumes and validates the transaction by using ScalarDbTwoPcRepository.validateTransactionOnParticipant()
. For reference, see CustomerService.java
.
customerRepository.validateTransactionOnParticipant(request.getTransactionId());
In the commit
endpoint of the Customer Service, the endpoint resumes and commits the transaction by using ScalarDbTwoPcRepository.commitTransactionOnParticipant()
. For reference, see CustomerService.java
.
customerRepository.commitTransactionOnParticipant(request.getTransactionId());
Error handling
If an error happens while executing a transaction, ScalarDbTwoPcRepository.executeTwoPcTransaction()
will automatically roll back the transaction in both the local Order Service and the remote Customer Service. The implementation to invoke the rollback
gRPC endpoint of the Customer Service also needs to be passed as a parameter to the API with other ones. For reference, see OrderService.java
.
TwoPcResult<PlaceOrderResponse> result = orderRepository.executeTwoPcTransaction(txId ->{
...
},
Collections.singletonList(
RemotePrepareCommitPhaseOperations.createSerializable(
this::callPrepareEndpoint,
this::callValidateEndpoint,
this::callCommitEndpoint,
this::callRollbackEndpoint
)
)
);
In the rollback
endpoint of the Customer Service, the endpoint resumes and rolls back the transaction. For reference, see CustomerService.java
.
customerRepository.rollbackTransactionOnParticipant(request.getTransactionId());
For details about how to handle exceptions in ScalarDB, see How to handle exceptions.