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springbatch操作DB

2024-07-17 16:57:18   224人阅读

一、需求分析

使用Spring Batch对DB进行读写操作: 从一个表中读取数据, 然后批量的插入另外一张表中.


二、代码实现

1. 代码结构图:


2. applicationContext.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
	xmlns:context="http://www.springframework.org/schema/context"
	xmlns:tx="http://www.springframework.org/schema/tx"
	xsi:schemaLocation="http://www.springframework.org/schema/beans	
	http://www.springframework.org/schema/beans/spring-beans-3.1.xsd
	http://www.springframework.org/schema/context 
	http://www.springframework.org/schema/context/spring-context-3.1.xsd
	http://www.springframework.org/schema/tx 
	http://www.springframework.org/schema/tx/spring-tx-3.1.xsd">
	
	<!-- 配置spring扫描范围 -->
	<context:component-scan base-package="com.zdp" />
    
    <!-- 配置数据源 -->
    <bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource" abstract="false" scope="singleton">
		<property name="driverClass" value=http://www.mamicode.com/"org.gjt.mm.mysql.Driver" />>
base-package: 扫描spring注解
jobLauncher: 启动Job
jobRepository: 为Job提供持久化操作
transactionManager: 提供事务管理操作

3. springBatch.xml
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:batch="http://www.springframework.org/schema/batch"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
	xmlns:context="http://www.springframework.org/schema/context"
	xmlns:tx="http://www.springframework.org/schema/tx"
	xsi:schemaLocation="http://www.springframework.org/schema/beans	
	http://www.springframework.org/schema/beans/spring-beans-3.1.xsd
	http://www.springframework.org/schema/batch 
	http://www.springframework.org/schema/batch/spring-batch-2.1.xsd
	http://www.springframework.org/schema/context 
	http://www.springframework.org/schema/context/spring-context-3.1.xsd
	http://www.springframework.org/schema/tx 
	http://www.springframework.org/schema/tx/spring-tx-3.1.xsd">
	
	<!-- 引入spring核心配置文件 -->
	<import resource="applicationContext.xml"/>

	<batch:job id="ledgerJob">
		<!-- 监听job运行状态 -->
		<batch:listeners>
			<batch:listener ref="appJobExecutionListener" />
		</batch:listeners>
		<batch:step id="step">
			<!-- 添加事务控制 -->
			<batch:tasklet transaction-manager="transactionManager">
				<batch:listeners>
					<batch:listener ref="itemFailureLoggerListener" />
				</batch:listeners>
				<!-- commit-interval: 批量提交的条数; skip-limit: 指允许跳过记录数 -->
				<batch:chunk reader="ledgerReader" writer="ledgerWriter" commit-interval="1000" skip-limit="1000">
					<batch:skippable-exception-classes>
						<batch:include class="java.lang.Exception"/> <!-- 出现exception或其子类, Job仍然会往后执行 -->
						<batch:exclude class="java.io.FileNotFoundException"/> <!-- 出现这个异常, Job会立刻停止 -->
					</batch:skippable-exception-classes>
				</batch:chunk> 
			</batch:tasklet>
		</batch:step>
	</batch:job>
	 
	<!-- 从ledger表读取数据 -->
	<bean id="ledgerReader" class="org.springframework.batch.item.database.JdbcCursorItemReader">
		<property name="dataSource" ref="dataSource" />
		<property name="sql" value=http://www.mamicode.com/"select * from ledger" /> >
4. AppJobExecutionListener.java
/**
 * 监听job运行状态
 */
@Component("appJobExecutionListener")
public class AppJobExecutionListener implements JobExecutionListener {
	private final static Logger logger = Logger.getLogger(AppJobExecutionListener.class);

	public void afterJob(JobExecution jobExecution) {
		if (jobExecution.getStatus() == BatchStatus.COMPLETED) {
			logger.info("Job completed: " + jobExecution.getJobId());
		} else if (jobExecution.getStatus() == BatchStatus.FAILED) {
			logger.info("Job failed: " + jobExecution.getJobId());
		}
	}

	public void beforeJob(JobExecution jobExecution) {
		if (jobExecution.getStatus() == BatchStatus.COMPLETED) {
			logger.info("Job completed: " + jobExecution.getJobId());
		} else if (jobExecution.getStatus() == BatchStatus.FAILED) {
			logger.info("Job failed: " + jobExecution.getJobId());
		}
	}
}

5. ItemFailureLoggerListener.java
/**
 * 检查是读出错还是写出错
 */
@Component("itemFailureLoggerListener")
public class ItemFailureLoggerListener extends ItemListenerSupport<Object, Object> {
	private final static Logger LOG = Logger.getLogger(ItemFailureLoggerListener.class);

	public void onReadError(Exception ex) {
		LOG.error("Encountered error on read", ex);
	}

	public void onWriteError(Exception ex, Object item) {
		LOG.error("Encountered error on write", ex);
	}

}

6. Ledger.java
public class Ledger implements Serializable {
	private static final long serialVersionUID = 1L;
	private int id;
	private Date receiptDate;
	private String memberName;
	private String checkNumber;
	private Date checkDate;
	private String paymentType;
	private double depositAmount;
	private double paymentAmount;
	private String comments;

	// getter and setter
}

7. LedgerRowMapper.java
/**
 * ledger行的映射类
 */
@SuppressWarnings("rawtypes")
@Component("ledgerRowMapper")
public class LedgerRowMapper implements RowMapper {
	public Object mapRow(ResultSet rs, int rowNum) throws SQLException {
		Ledger ledger = new Ledger();
		ledger.setId(rs.getInt("ID"));
		ledger.setReceiptDate(rs.getDate("RECEIPT_DATE"));
		ledger.setMemberName(rs.getString("MEMBER_NAME"));
		ledger.setCheckNumber(rs.getString("MEMBER_NAME"));
		ledger.setCheckDate(rs.getDate("CHECK_DATE"));
		ledger.setPaymentType(rs.getString("PAYMENT_TYPE"));
		ledger.setDepositAmount(rs.getDouble("DEPOSIT_AMOUNT"));
		ledger.setPaymentAmount(rs.getDouble("PAYMENT_AMOUNT"));
		ledger.setComments(rs.getString("COMMENTS"));
		return ledger;
	}
}

8. LedgerDao.java
public interface LedgerDao {
	public void save(final Ledger item) ;
}

9. LedgerDaoImpl.java
/**
 * ledger数据操作类
 */
@Repository
public class LedgerDaoImpl implements LedgerDao {

	private static final String SAVE_SQL = "INSERT INTO LEDGER_TEMP (RECEIPT_DATE, MEMBER_NAME, CHECK_NUMBER, CHECK_DATE, PAYMENT_TYPE, DEPOSIT_AMOUNT, PAYMENT_AMOUNT, COMMENTS) VALUES(?,?,?,?,?,?,?,?)";

	@Autowired
	private JdbcTemplate jdbcTemplate;

	@Override
	public void save(final Ledger item) {
		jdbcTemplate.update(SAVE_SQL, new PreparedStatementSetter() {
			public void setValues(PreparedStatement stmt) throws SQLException {
				stmt.setDate(1, new java.sql.Date(item.getReceiptDate().getTime()));
				stmt.setString(2, item.getMemberName());
				stmt.setString(3, item.getCheckNumber());
				stmt.setDate(4, new java.sql.Date(item.getCheckDate().getTime()));
				stmt.setString(5, item.getPaymentType());
				stmt.setDouble(6, item.getDepositAmount());
				stmt.setDouble(7, item.getPaymentAmount());
				stmt.setString(8, item.getComments());
			}
		});
	}
}

10. LedgerWriter.java
/**
 * ledger写入数据
 */
@Component("ledgerWriter")
public class LedgerWriter implements ItemWriter<Ledger> {

	@Autowired
	private LedgerDao ledgerDao;

	/**
	 * 写入数据
	 * @param ledgers
	 */
	public void write(List<? extends Ledger> ledgers) throws Exception {
		for (Ledger ledger : ledgers) {
			ledgerDao.save(ledger);
		}
	}

}

11. QuartzLedgerJob.java
/**
 * 定时调度类
 */
@Component("quartzLedgerJob")
public class QuartzLedgerJob {

	private static final Logger LOG = LoggerFactory.getLogger(QuartzLedgerJob.class);

	@Autowired
	private JobLauncher jobLauncher;

	@Autowired
	private Job ledgerJob;

	@Autowired
	JobParametersBuilder jobParameterBulider;

	private static long counter = 0l;
	
	/**
	 * 执行业务方法
	 * @throws Exception
	 */
	public void execute() throws Exception {
		/**
		 * Spring Batch Job同一个job instance，成功执行后是不允许重新执行的, 
		 * 失败后是否允许重跑，可通过配置Job的restartable参数来控制，默认是true，如果需要重新执行，可以变通处理，
		 * 添加一个JobParameters构建类,以当前时间作为参数，保证其他参数相同的情况下是不同的job instance
		 */
		LOG.debug("start...");
		StopWatch stopWatch = new StopWatch(); 
		stopWatch.start();
		jobParameterBulider.addDate("date", new Date());
		jobLauncher.run(ledgerJob, jobParameterBulider.toJobParameters());
		stopWatch.stop();
		LOG.debug("Time elapsed:{},Execute quartz ledgerJob:{}", stopWatch.prettyPrint(), ++counter);
	}
}

12. StartQuartz.java
/**
 * 启动定时调度
 * 需求描述: 定时从表ledger读取数据, 然后批量写入表ledger_temp
 */
public class StartQuartz {
	public static void main(String[] args) throws FileNotFoundException {
		new ClassPathXmlApplicationContext("/com/zdp/resources/springBatch.xml");
	}
}

13. sql:
create table ledger(
	ID int(10) not null AUTO_INCREMENT PRIMARY KEY,
	RECEIPT_DATE date,
	MEMBER_NAME varchar(10) ,
	CHECK_NUMBER varchar(10) ,
	CHECK_DATE date,
	PAYMENT_TYPE varchar(10) ,
	DEPOSIT_AMOUNT double(10,3),
	PAYMENT_AMOUNT double(10,3),
	COMMENTS varchar(100) 
);

create table ledger_temp(
	ID int(10) not null AUTO_INCREMENT PRIMARY KEY,
	RECEIPT_DATE date,
	MEMBER_NAME varchar(10) ,
	CHECK_NUMBER varchar(10) ,
	CHECK_DATE date,
	PAYMENT_TYPE varchar(10) ,
	DEPOSIT_AMOUNT double(10,3),
	PAYMENT_AMOUNT double(10,3),
	COMMENTS varchar(100) 
);


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