


In microservice architecture, how does the Java framework solve cross-service transaction problems?
Jun 04, 2024 am 10:46 AMThe Java framework provides distributed transaction management functions to solve cross-service transaction problems in microservice architecture, including: Atomikos Transactions Platform: coordinates transactions from different data sources and supports the XA protocol. Spring Cloud Sleuth: Provides inter-service tracing capabilities and can be integrated with distributed transaction management frameworks for traceability. Saga Pattern: Decompose transactions into local transactions and ensure eventual consistency through the coordinator service.
How does the Java framework solve cross-service transaction problems in microservice architecture
In microservice architecture, cross-service transaction management is a common challenge. Different services may be managed by different databases or transaction managers, making it difficult to maintain atomicity, consistency, isolation, and durability (ACID) properties across services.
Java Framework Solution
To solve this problem, the Java ecosystem provides several frameworks that provide cross-service transaction management capabilities.
1. Atomikos Transactions Platform
Atomikos Transactions Platform is a Java framework that provides distributed transaction management capabilities, including coordinating transactions from different data sources. It supports the XA (Extensible Architecture) protocol, allowing applications to perform distributed transactions against multiple data sources.
// 創(chuàng)建一個(gè) XA 數(shù)據(jù)源 AtomikosDataSourceBean ds = new AtomikosDataSourceBean(); ds.setXaDataSourceClassName("org.h2.jdbcx.JdbcDataSource"); // 注冊(cè) XA 數(shù)據(jù)源 DataSourceRegistry registry = new DataSourceRegistry(); registry.registerDataSource("my-ds", ds); // 創(chuàng)建一個(gè)分布式事務(wù)管理器 TransactionManager tm = new DefaultTransactionManager(registry); // 開(kāi)始分布式事務(wù) Transaction tx = tm.begin(); Connection conn = ds.getConnection(); // 執(zhí)行事務(wù)性操作 // 提交 or 回滾分布式事務(wù) tm.commit(tx);
2. Spring Cloud Sleuth
Spring Cloud Sleuth is a Spring Boot framework that provides inter-service tracking functionality. It can be integrated with other distributed transaction management frameworks to achieve traceability of cross-service transactions.
// 在 Spring Boot 應(yīng)用程序中添加 Sleuth @SpringBootApplication @EnableSleuth @EnableDistributedTransaction public class MyApplication { // ... } // 添加 sleuth.sampler 屬性以啟用抽樣 @Value("${sleuth.sampler.percentage:1.0}") private float samplingPercentage;
3. Saga Pattern
Saga pattern is a design pattern that decomposes distributed transactions into a series of local transactions and ensures the eventual consistency of transactions through the coordinator service.
// 創(chuàng)建一個(gè)協(xié)調(diào)器服務(wù) @Service public class SagaCoordinatorService { // ... } // 創(chuàng)建本地事務(wù)服務(wù) @Service public class LocalTransactionService { // ... }
Practical case
Use Atomikos Transactions Platform to manage cross-service transactions
In the procurement system, it needs to be executed between the order service and the inventory service Distributed transactions.
@Service public class PurchaseService { // ... @Transactional public void purchase(Order order) { // 在訂單服務(wù)中創(chuàng)建/更新訂單 orderRepository.save(order); // 在庫(kù)存服務(wù)中扣減庫(kù)存 // 獲取庫(kù)存服務(wù) Connection 對(duì)象 Connection conn = ds.getConnection(); // ... } }
Conclusion
By leveraging the distributed transaction management capabilities provided by the Java framework, cross-service transactions can be implemented in a microservice architecture. These frameworks provide a range of methods to coordinate transactions on disparate data sources, ensuring ACID properties and traceability of operations across services.
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