Detailed Guide to Integrating Seata in SpringBoot 3.4

When Spring Boot 3.4 meets Seata 2.0, the complexity of distributed transactions is compressed to a line of annotations. But behind it are three fatal traps: data source proxy failure, XID propagation breakage, and transaction grouping confusion.

Spring Boot 3.4 Integrating Seata's Core Four Steps

1. Dependency injection: Accurate sniper version compatibility

Spring Boot 3.4 needs to be matched with Seata 2.0+ version to avoid compatibility issues caused by new features such as JDK 21 virtual threads. The key dependencies are as follows:

<!-- fatherPOMDefined version -->
<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId></groupId>
            <artifactId>spring-cloud-alibaba-dependencies</artifactId>
            <version>2023.0.1</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

​​​​​​​<!-- Submodule addition -->
<dependencies>
    <dependency>
        <groupId></groupId>
        <artifactId>spring-cloud-starter-alibaba-seata</artifactId>
    </dependency>
</dependencies>

Note: The default data source automatic configuration must be excluded to avoid proxy conflicts.

2. Configuration empowerment: Three lines of code activate global transactions

Configure Seata core parameters in:

spring:
  cloud:
    alibaba:
      seata:
        tx-service-group: my_tx_group_v3  # Transaction group name needs to be unique        service:
          vgroup-mapping:
            my_tx_group_v3: default       # Map to Seata Server Grouping          grouplist:
            default: 127.0.0.1:8091       # TC server address

Spring Boot 3.4 optimizes configuration loading order to ensure that Seata configuration takes precedence over data source initialization.

3. Data source agent: penetrating transaction interception

Packaging native data sources through DataSourceProxy to ensure that SQL is intercepted by Seata:

@Configuration
public class SeataConfig {

    @Bean
    @ConfigurationProperties(prefix = "")
    public DataSource druidDataSource() {
        return new DruidDataSource();
    }

    @Primary
    @Bean("dataSource")
    public DataSourceProxy dataSourceProxy(DataSource dataSource) {
        return new DataSourceProxy(dataSource);  // Key Agent    }
}

If you use multiple data sources, you need to create an independent proxy for each data source.

4. Transaction activation: One line of annotations subvert tradition

Add @GlobalTransactional to the business method to upgrade the local transaction to a global transaction:

@Service
public class TransferService {

​​​​​​​    @GlobalTransactional(
        name = "transferTx", 
        timeoutMills = 60000,
        rollbackFor = 
    )
    public void crossBankTransfer(String from, String to, BigDecimal amount) {
        (from, amount);  // Service A: Deduct money        (to, amount);       // Service B: Increase payment        if((new BigDecimal("1000000")) > 0) {
            throw new RiskControlException("Single transfer exceeds limit"); // Trigger global rollback        }
    }
}

This annotation automatically manages XID propagation and branch transaction registration through AOP.

Three high-level optimizations: from usable to industrial grade

1. XID propagation enhancement: penetration of Feign and RestTemplate

Spring Boot 3.4 requires a custom interceptor to pass the transaction ID:

public class SeataFeignInterceptor implements RequestInterceptor {
    @Override
    public void apply(RequestTemplate template) {
        String xid = ();
        if ((xid)) {
            ("TX_XID", xid);  // Feign request header injection        }
    }
}

// RestTemplate Interceptor@Bean
public RestTemplate restTemplate() {
    RestTemplate restTemplate= new RestTemplate();
    ().add((request, body, execution) -> {
        String xid= ();
        if (xid != null) {
            ().add("TX_XID", xid);
        }
        return (request, body);
    });
    return restTemplate;
}

Ensure that the transaction context is not lost when cross-service calls are called.

2. Transaction isolation strengthening: Avoid dirty reading and illusion reading

Seata's AT mode is read by default and can be read by @GlobalLock annotation:

@GlobalLock
@Transactional
public BigDecimal getAccountBalance(String accountId) {
    return (accountId); // Force read from the main library}

This annotation forces Seata to use global locks to ensure data visibility.

3. Performance monitoring: Visualize transaction life cycle

Integrated Micrometer to monitor transaction metrics:

management:
  endpoints:
    web:
      exposure:
        include: seataMetrics
  metrics:
    tags:
      application: ${}

View key indicators such as transaction commit rate, rollback rate, and average time consumption in real time.

Pit avoidance guide

1. Agent failure trap

If you find that the transaction has not rolled back, check whether the following configuration is missing:

spring:
  autoconfigure:
    exclude: 
      -  # Exclude Druid automatic proxy

Automatic configuration of connection pools such as Druid will override the Seata proxy.

2. Transaction grouping avalanche

The production environment must assign independent transaction groups to each microservice:

spring:
  cloud:
    alibaba:
      seata:
        tx-service-group: payment-service-group # Payment services independent grouping

Avoid overloading of TC servers caused by multiple service sharing packets.

3. XA mode performance black hole

The default AT mode has better performance, and only switch to XA mode when strong consistency is required:

seata:
  data-source-proxy-mode: XA # Default AT

The transaction locking time in XA mode is long, so be cautious when used in high concurrency scenarios.

Chemical Reaction of Seata with Spring Boot 3.4

The combination of virtual threading features of Spring Boot 3.4 and Seata:

@GlobalTransactional
public void parallelTransfer(List<TransferTask> tasks) {
    try (var executor = ()) {
        (task -> (() -> {
            executeSingleTransfer(task); // Each task is executed in a virtual thread        }));
    }
}

The lightweight feature of virtual threads can support Seata to handle millions of concurrent branch transactions.

Summarize

Spring Boot 3.4's deep integration with Seata simplifies distributed transactions from complex architectural design to declarative programming. Through precise dependency control, data source proxy injection, and XID propagation interception, developers only need to pay attention to business logic to achieve strong consistency across services. However, while enjoying convenience, you need to be vigilant about underlying details such as proxy conflicts, transaction grouping configuration, and mode selection. In the future, with the popularity of features such as virtual threads, Seata may become the de facto standard for distributed transactions in the cloud native era.

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