在本系列的上一篇文章中,我们讲到了Java事务处理的基本问题,并且讲到了Service层和DAO层,在本篇文章中,我们将以BankService为例学习一个事务处理失败的案例。
请通过以下方式下载github源代码:
git clone https://github.com/davenkin/java_transaction_workshop.git
BankService的功能为:某个用户有两个账户,分别为银行账户和保险账户,并且有各自的账户号,BankService的transfer方法从该用户的银行账户向保险账户转帐,两个DAO分别用于对两个账户表的存取操作。
定义一个BankService接口如下:
package davenkin; public interface BankService { public void transfer(int fromId, int toId, int amount); }
在两个DAO对象中,我们通过传入的同一个DataSource获得Connection,然后通过JDBC提供的API直接对数据库进行操作。
定义操作银行账户表的DAO类如下:
public class FailureBankDao { private DataSource dataSource; public FailureBankDao(DataSource dataSource) { this.dataSource = dataSource; } public void withdraw(int bankId, int amount) throws SQLException { Connection connection = dataSource.getConnection(); PreparedStatement selectStatement = connection.prepareStatement("SELECT BANK_AMOUNT FROM BANK_ACCOUNT WHERE BANK_ID = ?"); selectStatement.setInt(1, bankId); ResultSet resultSet = selectStatement.executeQuery(); resultSet.next(); int previousAmount = resultSet.getInt(1); resultSet.close(); selectStatement.close(); int newAmount = previousAmount - amount; PreparedStatement updateStatement = connection.prepareStatement("UPDATE BANK_ACCOUNT SET BANK_AMOUNT = ? WHERE BANK_ID = ?"); updateStatement.setInt(1, newAmount); updateStatement.setInt(2, bankId); updateStatement.execute(); updateStatement.close(); connection.close(); } }
FailureBankDao的withdraw方法从银行账户表(BANK_ACCOUNT)中帐号为bankId的用户账户中取出数量为amount的金额。
采用同样的方法,定义保险账户的DAO类如下:
public class FailureInsuranceDao { private DataSource dataSource; public FailureInsuranceDao(DataSource dataSource){ this.dataSource = dataSource; } public void deposit(int insuranceId, int amount) throws SQLException { Connection connection = dataSource.getConnection(); PreparedStatement selectStatement = connection.prepareStatement("SELECT INSURANCE_AMOUNT FROM INSURANCE_ACCOUNT WHERE INSURANCE_ID = ?"); selectStatement.setInt(1, insuranceId); ResultSet resultSet = selectStatement.executeQuery(); resultSet.next(); int previousAmount = resultSet.getInt(1); resultSet.close(); selectStatement.close(); int newAmount = previousAmount + amount; PreparedStatement updateStatement = connection.prepareStatement("UPDATE INSURANCE_ACCOUNT SET INSURANCE_AMOUNT = ? WHERE INSURANCE_ID = ?"); updateStatement.setInt(1, newAmount); updateStatement.setInt(2, insuranceId); updateStatement.execute(); updateStatement.close(); connection.close(); } }
public class FailureBankService implements BankService{ private FailureBankDao failureBankDao; private FailureInsuranceDao failureInsuranceDao; private DataSource dataSource; public FailureBankService(DataSource dataSource) { this.dataSource = dataSource; } public void transfer(int fromId, int toId, int amount) { Connection connection = null; try { connection = dataSource.getConnection(); connection.setAutoCommit(false); failureBankDao.withdraw(fromId, amount); failureInsuranceDao.deposit(toId, amount); connection.commit(); } catch (Exception e) { try { assert connection != null; connection.rollback(); } catch (SQLException e1) { e1.printStackTrace(); } } finally { try { assert connection != null; connection.close(); } catch (SQLException e) { e.printStackTrace(); } } } public void setFailureBankDao(FailureBankDao failureBankDao) { this.failureBankDao = failureBankDao; } public void setFailureInsuranceDao(FailureInsuranceDao failureInsuranceDao) { this.failureInsuranceDao = failureInsuranceDao; } }
在FailureBankService的transfer方法中,我们首先通过DataSource获得Connection,然后调用connection.setAutoCommit(false)已开启手动提交模式,如果一切顺利,则commit,如果出现异常,则rollback。 接下来,开始测试我们的BankService吧。
为了准备测试数据,我们定义个BankFixture类,该类负责在每次测试之前准备测试数据,分别向银行账户(1111)和保险账户(2222)中均存入1000元。BankFixture还提供了两个helper方法(getBankAmount和getInsuranceAmount)帮助我们从数据库中取出数据以做数据验证。我们使用HSQL数据库的in-memory模式,这样不用启动数据库server,方便测试。BankFixture类定义如下:
public class BankFixture { protected final DataSource dataSource = DataSourceFactory.createDataSource(); @Before public void setUp() throws SQLException { Connection connection = dataSource.getConnection(); Statement statement = connection.createStatement(); statement.execute("DROP TABLE BANK_ACCOUNT IF EXISTS"); statement.execute("DROP TABLE INSURANCE_ACCOUNT IF EXISTS"); statement.execute("CREATE TABLE BANK_ACCOUNT (\n" + "BANK_ID INT,\n" + "BANK_AMOUNT INT,\n" + "PRIMARY KEY(BANK_ID)\n" + ");"); statement.execute("CREATE TABLE INSURANCE_ACCOUNT (\n" + "INSURANCE_ID INT,\n" + "INSURANCE_AMOUNT INT,\n" + "PRIMARY KEY(INSURANCE_ID)\n" + ");"); statement.execute("INSERT INTO BANK_ACCOUNT VALUES (1111, 1000);"); statement.execute("INSERT INTO INSURANCE_ACCOUNT VALUES (2222, 1000);"); statement.close(); connection.close(); } protected int getBankAmount(int bankId) throws SQLException { Connection connection = dataSource.getConnection(); PreparedStatement selectStatement = connection.prepareStatement("SELECT BANK_AMOUNT FROM BANK_ACCOUNT WHERE BANK_ID = ?"); selectStatement.setInt(1, bankId); ResultSet resultSet = selectStatement.executeQuery(); resultSet.next(); int amount = resultSet.getInt(1); resultSet.close(); selectStatement.close(); connection.close(); return amount; } protected int getInsuranceAmount(int insuranceId) throws SQLException { Connection connection = dataSource.getConnection(); PreparedStatement selectStatement = connection.prepareStatement("SELECT INSURANCE_AMOUNT FROM INSURANCE_ACCOUNT WHERE INSURANCE_ID = ?"); selectStatement.setInt(1, insuranceId); ResultSet resultSet = selectStatement.executeQuery(); resultSet.next(); int amount = resultSet.getInt(1); resultSet.close(); selectStatement.close(); connection.close(); return amount; } }
public class FailureBankServiceTest extends BankFixture { @Test public void transferSuccess() throws SQLException { FailureBankDao failureBankDao = new FailureBankDao(dataSource); FailureInsuranceDao failureInsuranceDao = new FailureInsuranceDao(dataSource); FailureBankService bankService = new FailureBankService(dataSource); bankService.setFailureBankDao(failureBankDao); bankService.setFailureInsuranceDao(failureInsuranceDao); bankService.transfer(1111, 2222, 200); assertEquals(800, getBankAmount(1111)); assertEquals(1200, getInsuranceAmount(2222)); } @Test public void transferFailure() throws SQLException { FailureBankDao failureBankDao = new FailureBankDao(dataSource); FailureInsuranceDao failureInsuranceDao = new FailureInsuranceDao(dataSource); FailureBankService bankService = new FailureBankService(dataSource); bankService.setFailureBankDao(failureBankDao); bankService.setFailureInsuranceDao(failureInsuranceDao); int toNonExistId = 3333; bankService.transfer(1111, toNonExistId, 200); assertEquals(1000, getInsuranceAmount(2222)); assertEquals(1000, getBankAmount(1111)); } }
运行测试,第一个测试(transferSuccess)成功,第二个测试(transferFailure)失败。
分析错误,原因在于:我们分别从FailureBankService,FailureBankDao和FailureInsuranceDao中调用了三次dataSource.getConnection(),亦即我们创建了三个不同的Connection对象,而Java事务是作用于Connection之上的,所以从在三个地方我们开启了三个不同的事务,而不是同一个事务。
第一个测试之所以成功,是因为在此过程中没有任何异常发生。虽然在FailureBankService中将Connection的提交模式改为了手动提交,但是由于两个DAO使用的是各自的Connection对象,所以两个DAO中的Connection依然为默认的自动提交模式。
在第二个测试中,我们给出一个不存在的保险账户id(toNonExistId),就是为了使程序产生异常,然后在assertion语句中验证两张表均没有任何变化,但是测试在第二个assertion语句处出错。原因在于,发生异常时,银行账户中的金额已经减少,而虽然程序发生了rollback,但是调用的是FailureBankService中Connection的rollback,而不是FailureInsuranceDao中Connection的,对保险账户的操作根本就没有执行,所以保险账户中依然为1000,而银行账户却变为了800。
综上,为了使两个DAO在同一个事务中,我们应该在整个事务处理过程中使用一个Connection对象,在下一篇文章中,我们将讲到通过共享Connection对象的方式达到事务处理的目的。
转载地址:http://www.davenkin.me/post/2013-02-17/40049132188