spring Batch实现数据库大数据量读写
1. data-source-context.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-3.0.xsd
- http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd
- http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.0.xsd">
- <!-- 1) USE ANNOTATIONS TO IDENTIFY AND WIRE SPRING BEANS. -->
- <context:component-scan base-package="net.etongbao.vasp.ac" />
- <!-- 2) DATASOURCE, TRANSACTION MANAGER AND JDBC TEMPLATE -->
- <bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource"
- destroy-method="close" abstract="false" scope="singleton">
- <!-- oracle.jdbc.driver.oracleDriver -->
- <property name="driverClass" value="oracle.jdbc.OracleDriver" />
- <property name="jdbcUrl" value="jdbc:oracle:thin:@192.168.1.23:1521:orcl01" />
- <property name="user" value="USR_DEV01" />
- <property name="password" value="2AF0829C" />
- <property name="checkoutTimeout" value="30000" />
- <property name="maxIdleTime" value="120" />
- <property name="maxPoolSize" value="100" />
- <property name="minPoolSize" value="2" />
- <property name="initialPoolSize" value="2" />
- <property name="maxStatements" value="0" />
- <property name="maxStatementsPerConnection" value="0" />
- <property name="idleConnectionTestPeriod" value="30" />
- </bean>
- <bean id="jdbcTemplate" class="org.springframework.jdbc.core.JdbcTemplate">
- <property name="dataSource" ref="dataSource" />
- </bean>
- <bean id="transactionManager"
- class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
- <property name="dataSource" ref="dataSource" />
- </bean>
- <tx:annotation-driven transaction-manager="transactionManager" />
- </beans>
2. quartz-context.xml commit-interval="10000"每次批量数据的条数,数值越大效率越高,可在此处添加事物处理,
每次回滚数就是commit-interval数
- <?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-3.0.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-3.0.xsd
- http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.0.xsd">
- <import resource="data-source-context.xml"/>
- <!-- JOB REPOSITORY - WE USE IN-MEMORY REPOSITORY FOR OUR EXAMPLE -->
- <bean id="jobRepository"
- class="org.springframework.batch.core.repository.support.MapJobRepositoryFactoryBean">
- <property name="transactionManager" ref="transactionManager" />
- </bean>
- <!-- batch config -->
- <bean id="jobLauncher"
- class="org.springframework.batch.core.launch.support.SimpleJobLauncher">
- <property name="jobRepository" ref="jobRepository" />
- </bean>
- <!-- FINALLY OUR JOB DEFINITION. THIS IS A 1 STEP JOB -->
- <batch:job id="ledgerJob">
- <batch:listeners>
- <batch:listener ref="appJobExecutionListener" />
- </batch:listeners>
- <batch:step id="step1">
- <span style="white-space: pre;"> </span> <batch:tasklet transaction-manager="transactionManager">
- <batch:tasklet>
- <batch:listeners>
- <batch:listener ref="itemFailureLoggerListener" />
- </batch:listeners>
- <batch:chunk reader="ledgerReader" writer="ledgerWriter"
- commit-interval="10000" /> <!-- 1万条进行一次commit -->
- </batch:tasklet>
- </batch:tasklet>
- </batch:step>
- </batch:job>
- <!-- READER -->
- <bean id="ledgerReader"
- class="org.springframework.batch.item.database.JdbcCursorItemReader">
- <property name="dataSource" ref="dataSource" />
- <property name="sql" value="select * from ledger" />
- <property name="rowMapper" ref="ledgerRowMapper" />
- </bean>
- <!-- 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却是不同的job instance -->
- <bean id="jobParameterBulider" class="org.springframework.batch.core.JobParametersBuilder" />
- <!-- 定时任务 开始 -->
- <bean id="ledgerJobDetail" class="org.springframework.scheduling.quartz.MethodInvokingJobDetailFactoryBean">
- <property name="targetObject">
- <!-- 定时执行的类 -->
- <ref bean="quartzLedgerJob" />
- </property>
- <property name="targetMethod">
- <!-- 定时执行的类方法 -->
- <value>execute</value>
- </property>
- </bean>
- <bean id="ledgerCronTrigger" class="org.springframework.scheduling.quartz.CronTriggerBean" >
- <!-- 这里不可以直接在属性jobDetail中引用taskJob,因为他要求的是一个jobDetail类型的对象,所以我们得通过MethodInvokingJobDetailFactoryBean来转一下 -->
- <property name="jobDetail" >
- <ref bean="ledgerJobDetail" />
- </property>
- <!--在每天下午18点到下午18:59期间的每1分钟触发 -->
- <!--在每天上午10点40分准时触发 -->
- <property name="cronExpression" >
- <!-- <value>0 * 15 * * ?</value> -->
- <value>0 45 10 * * ? * </value>
- </property>
- </bean>
- <!-- 触发器工厂,将所有的定时任务都注入工厂-->
- <bean class="org.springframework.scheduling.quartz.SchedulerFactoryBean">
- <!-- 添加触发器 -->
- <property name="triggers">
- <list>
- <!-- 将上面定义的测试定时任务注入(可以定义多个定时任务,同时注入)-->
- <ref local="ledgerCronTrigger" />
- </list>
- </property>
- </bean>
- <!-- 定时任务 结束 -->
- lt;/beans>
3.定时调度job类 QuartzLedgerJob.java
package net.etongbao.vasp.ac.quartz;
- import java.util.Date;
- import org.slf4j.Logger;
- import org.slf4j.LoggerFactory;
- import org.springframework.batch.core.Job;
- import org.springframework.batch.core.JobParametersBuilder;
- import org.springframework.batch.core.launch.JobLauncher;
- import org.springframework.beans.factory.annotation.Autowired;
- import org.springframework.stereotype.Component;
- import org.springframework.util.StopWatch;
- /**
- * 定时调度类
- * @author Fu Wei
- *
- */
- @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 {
- LOG.debug("start...");
- StopWatch sw = new StopWatch();
- sw.start();
- /*
- * 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却是不同的job instance
- */
- jobParameterBulider.addDate("date", new Date());
- jobLauncher.run(ledgerJob, jobParameterBulider.toJobParameters());
- sw.stop();
- LOG.debug("Time elapsed:{},Execute quartz ledgerJob:{}", sw.prettyPrint(), ++counter);
- }
- }
4.程序启动类 StartQuartz.java
package net.etongbao.vasp.ac.quartz;
- import java.io.FileNotFoundException;
- import org.springframework.context.support.ClassPathXmlApplicationContext;
- /**
- * 启动定时调度
- * @author Fu Wei
- *
- */
- public class StartQuartz {
- public static void main(String[] args) throws FileNotFoundException {
- new ClassPathXmlApplicationContext("/net/etongbao/vasp/ac/resources/quartz-context.xml");
- }
- }
5.pojo类 Ledger.java
- package net.etongbao.vasp.ac.pojo;
- import java.io.Serializable;
- import java.util.Date;
- public class Ledger implements Serializable {
- 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;
- public Ledger() {
- super();
- }
- public Ledger(int id, Date receiptDate, String memberName, String checkNumber, Date checkDate, String paymentType,
- double depositAmount, double paymentAmount, String comments) {
- super();
- this.id = id;
- this.receiptDate = receiptDate;
- this.memberName = memberName;
- this.checkNumber = checkNumber;
- this.checkDate = checkDate;
- this.paymentType = paymentType;
- this.depositAmount = depositAmount;
- this.paymentAmount = paymentAmount;
- this.comments = comments;
- }
- public int getId() {
- return id;
- }
- public void setId(int id) {
- this.id = id;
- }
- public Date getReceiptDate() {
- return receiptDate;
- }
- public void setReceiptDate(Date receiptDate) {
- this.receiptDate = receiptDate;
- }
- public String getMemberName() {
- return memberName;
- }
- public void setMemberName(String memberName) {
- this.memberName = memberName;
- }
- public String getCheckNumber() {
- return checkNumber;
- }
- public void setCheckNumber(String checkNumber) {
- this.checkNumber = checkNumber;
- }
- public Date getCheckDate() {
- return checkDate;
- }
- public void setCheckDate(Date checkDate) {
- this.checkDate = checkDate;
- }
- public String getPaymentType() {
- return paymentType;
- }
- public void setPaymentType(String paymentType) {
- this.paymentType = paymentType;
- }
- public double getDepositAmount() {
- return depositAmount;
- }
- public void setDepositAmount(double depositAmount) {
- this.depositAmount = depositAmount;
- }
- public double getPaymentAmount() {
- return paymentAmount;
- }
- public void setPaymentAmount(double paymentAmount) {
- this.paymentAmount = paymentAmount;
- }
- public String getComments() {
- return comments;
- }
- public void setComments(String comments) {
- this.comments = comments;
- }
- }
6. LedgerDaoImpl.java
package net.etongbao.vasp.ac.dao.impl;
- import java.sql.PreparedStatement;
- import java.sql.SQLException;
- import net.etongbao.vasp.ac.dao.LedgerDao;
- import net.etongbao.vasp.ac.pojo.Ledger;
- import org.springframework.beans.factory.annotation.Autowired;
- import org.springframework.jdbc.core.JdbcTemplate;
- import org.springframework.jdbc.core.PreparedStatementSetter;
- import org.springframework.stereotype.Repository;
- /**
- * ledger数据操作类
- *
- * @author Fu Wei
- *
- */
- @Repository
- public class LedgerDaoImpl implements LedgerDao {
- private static final String SAVE_SQL = "insert into ledger_temp (rcv_dt, mbr_nm, chk_nbr, chk_dt, pymt_typ, dpst_amt, pymt_amt, 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());
- }
- });
- }
- }
7.接口 LedgerDao .java
- package net.etongbao.vasp.ac.dao;
- import net.etongbao.vasp.ac.pojo.Ledger;
- public interface LedgerDao {
- public void save(final Ledger item) ;
- }
8. JdbcTemplete 需要的LedgerRowMapper.java
package net.etongbao.vasp.ac.batch.writer;
- import java.sql.ResultSet;
- import java.sql.SQLException;
- import net.etongbao.vasp.ac.pojo.Ledger;
- import org.springframework.jdbc.core.RowMapper;
- import org.springframework.stereotype.Component;
- /**
- * ledger行的映射类
- * @author Administrator
- *
- */
- @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("rcv_dt"));
- ledger.setMemberName(rs.getString("mbr_nm"));
- ledger.setCheckNumber(rs.getString("chk_nbr"));
- ledger.setCheckDate(rs.getDate("chk_dt"));
- ledger.setPaymentType(rs.getString("pymt_typ"));
- ledger.setDepositAmount(rs.getDouble("dpst_amt"));
- ledger.setPaymentAmount(rs.getDouble("pymt_amt"));
- ledger.setComments(rs.getString("comments"));
- return ledger;
- }
- }
9.关键类LedgerWriter.java ,写入数据,负责数据的添加
- package net.etongbao.vasp.ac.batch.writer;
- import java.util.List;
- import net.etongbao.vasp.ac.dao.LedgerDao;
- import net.etongbao.vasp.ac.pojo.Ledger;
- import org.springframework.batch.item.ItemWriter;
- import org.springframework.beans.factory.annotation.Autowired;
- import org.springframework.stereotype.Component;
- /**
- * ledger写入数据
- *
- * @author Fu Wei
- *
- */
- @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);
- }
- }
- }
classPath:
<?xml version="1.0" encoding="UTF-8"?>
- <classpath>
- <classpathentry kind="src" path="src"/>
- <classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/jrockit-jdk1.6.0_24-R28.1.3-4.0.1"/>
- <classpathentry kind="lib" path="lib/aopalliance-1.0.jar"/>
- <classpathentry kind="lib" path="lib/c3p0-0.9.1.2.jar"/>
- <classpathentry kind="lib" path="lib/commons-collections-3.2.1.jar"/>
- <classpathentry kind="lib" path="lib/commons-lang-2.3.jar"/>
- <classpathentry kind="lib" path="lib/commons-logging-1.1.1.jar"/>
- <classpathentry kind="lib" path="lib/etb-log4j-1.2.16.jar"/>
- <classpathentry kind="lib" path="lib/etb-slf4j-api-1.5.8.jar"/>
- <classpathentry kind="lib" path="lib/etb-slf4j-log4j12-1.5.8.jar"/>
- <classpathentry kind="lib" path="lib/ojdbc6.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.aop-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.asm-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.aspects-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.beans-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.context-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.context.support-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.core-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.expression-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.instrument-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.instrument.tomcat-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.jdbc-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.jms-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.orm-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.oxm-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.test-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/org.springframework.transaction-3.0.5.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/quartz-all-1.6.5.jar"/>
- <classpathentry kind="lib" path="lib/spring-batch-core-2.1.6.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/spring-batch-infrastructure-2.1.6.RELEASE.jar"/>
- <classpathentry kind="lib" path="lib/spring-batch-test-2.1.6.RELEASE.jar"/>
- <classpathentry kind="con" path="org.eclipse.jdt.junit.JUNIT_CONTAINER/4"/>
- <classpathentry kind="output" path="bin"/>
- </classpath>
总结: 测试数据8万多条,响应时间3分多钟。
关键在于quartz-context.xml 中<bean id="ledgerReader"
class="org.springframework.batch.item.database.JdbcCursorItemReader">
<property name="dataSource" ref="dataSource" />
<property name="sql" value="select * from ledger" />
<property name="rowMapper" ref="ledgerRowMapper" />
</bean> 负责读取数据 ,在程序执行时一次性抓取全部数据后在批量的交给LedgerWriter进行写操作。当然也可以使用分页读取JdbcPagingItemReader,但要分页数量与写入数量要大写相同,还可以对分页出来的数据进行添加悲观锁
LedgerWriter.java 负责写入数据,每次写入1000条。
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