Spring-batch（ItemReader）—数据读取从普通文件，数据库，XML，多文件数据读取
发表于：2025-01-31 作者：千家信息网编辑
千家信息网最后更新 2025年01月31日，Spring-Batch学习总结（3）--如何数据输入一．ItemReader概述1.ItemReader:提供数据的接口2.在这个接口中只有一个方法read(),它读取一个数据并且移动到下一个数据上
千家信息网最后更新 2025年01月31日Spring-batch（ItemReader）—数据读取从普通文件，数据库，XML，多文件数据读取
Spring-Batch学习总结（3）--如何数据输入
一．ItemReader概述
1.ItemReader:提供数据的接口
2.在这个接口中只有一个方法read(),它读取一个数据并且移动到下一个数据上去，在读取结束时必须返回一个null,否则表明数据没有读取完毕;
例：
OverViewApplication：
package com.dhcc.batch.batchDemo.input.overview;import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplication@EnableBatchProcessingpublic class OverViewApplication { public static void main(String[] args) { SpringApplication.run(OverViewApplication.class, args); }}InputOverViewDemoJobConfiguration：
package com.dhcc.batch.batchDemo.input.overview;import java.util.Arrays;import java.util.List;import org.springframework.batch.core.Job;import org.springframework.batch.core.Step;import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;import org.springframework.batch.item.ItemWriter;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;@Configurationpublic class InputOverViewDemoJobConfiguration { @Autowired private JobBuilderFactory jobBuilderFactory; @Autowired private StepBuilderFactory stepBuilderFactory; @Bean public Job inputOverViewDemoJob() { return jobBuilderFactory.get("inputOverViewDemoJob").start(inputOverViewDemoJobStep()).build(); } public Step inputOverViewDemoJobStep() { return stepBuilderFactory.get("inputOverViewDemoJobStep").chunk(2) .reader(inputOverViewDemoReader()).writer(outputOverViewDemoWriter()).build(); } private ItemWriter outputOverViewDemoWriter() { return new ItemWriter() { @Override public void write(List items) throws Exception { for (String item : items) { System.out.println("output writer data: " + item); } } }; } @Bean public InputOverVierDemoItemReader inputOverViewDemoReader() { List data = Arrays.asList("dazhonghua", "xiaoriben", "meilijian", "falanxi", "deyizhi", "aierlan", "fandigang", "bajisitan", "baieluosi"); return new InputOverVierDemoItemReader(data); }} InputOverVierDemoItemReader：
package com.dhcc.batch.batchDemo.input.overview;import java.util.Iterator;import java.util.List;import org.springframework.batch.item.ItemReader;import org.springframework.batch.item.NonTransientResourceException;import org.springframework.batch.item.ParseException;import org.springframework.batch.item.UnexpectedInputException;public class InputOverVierDemoItemReader implements ItemReader { private final Iterator iterator; public InputOverVierDemoItemReader(List data) { this.iterator = data.iterator(); } @Override public String read() throws Exception, UnexpectedInputException, ParseException, NonTransientResourceException { if (iterator.hasNext()) { return this.iterator.next(); } else { return null; } }} 运行结果：
二．从数据库中读取数据
1.在实际应用中，我们都需要从数据库中读取数据，并且进行分页读取，在spring-batch中为我们提供了JDBCPagingItemReader这个类进行数据库数据读取
2.例：再举这个例子之前我们在数据库中建立了个person_buf表，并向表中插入了100001条数据
接下来我们读取这个表中的数据为例，进行学习：
InputItemReaderJDBCApplication：
package com.dhcc.batch.batchDemo.input.db.jdbc;import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplication@EnableBatchProcessingpublic class InputItemReaderJDBCApplication { public static void main(String[] args) { SpringApplication.run(InputItemReaderJDBCApplication.class, args); }}InputDBJdbcItemReaderConfigruation：
package com.dhcc.batch.batchDemo.input.db.jdbc;import java.util.HashMap;import java.util.Map;import javax.sql.DataSource;import org.springframework.batch.core.Job;import org.springframework.batch.core.Step;import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepScope;import org.springframework.batch.item.ItemWriter;import org.springframework.batch.item.database.JdbcPagingItemReader;import org.springframework.batch.item.database.Order;import org.springframework.batch.item.database.support.MySqlPagingQueryProvider;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;@Configurationpublic class InputDBJdbcItemReaderConfigruation { @Autowired private JobBuilderFactory jobBuilderFactory; @Autowired private StepBuilderFactory stepBuilderFactory; @Autowired @Qualifier("DBJdbcWriterDemo") private ItemWriter DBJbbcWriterDemo; @Autowired private DataSource dataSource; @Bean public Job DBJdbcItemReaderJob() { return jobBuilderFactory.get("DBJdbcItemReaderJob4") .start(DBJdbcItemReaderJobStep()) .build(); } @Bean public Step DBJdbcItemReaderJobStep() { return stepBuilderFactory.get("DBJdbcItemReaderJobStep4") .chunk(100) .reader(DBJbbcReaderDemo()) .writer(DBJbbcWriterDemo) .build(); } @Bean @StepScope public JdbcPagingItemReader DBJbbcReaderDemo() { JdbcPagingItemReader reader = new JdbcPagingItemReader<>(); reader.setDataSource(this.dataSource); // 设置数据源 reader.setFetchSize(100); // 设置一次最大读取条数 reader.setRowMapper(new PersonRowMapper()); // 把数据库中的每条数据映射到Person对中 MySqlPagingQueryProvider queryProvider = new MySqlPagingQueryProvider(); queryProvider.setSelectClause("id,name,per_desc,create_time,update_time,sex,score,price"); // 设置查询的列 queryProvider.setFromClause("from person_buf"); // 设置要查询的表 Map sortKeys = new HashMap();// 定义一个集合用于存放排序列 sortKeys.put("id", Order.ASCENDING);// 按照升序排序 queryProvider.setSortKeys(sortKeys); reader.setQueryProvider(queryProvider);// 设置排序列 return reader; }} DBJdbcWriterDemo：
package com.dhcc.batch.batchDemo.input.db.jdbc;import java.util.List;import org.springframework.batch.item.ItemWriter;import org.springframework.stereotype.Component;@Component("DBJdbcWriterDemo")public class DBJdbcWriterDemo implements ItemWriter{ @Override public void write(List items) throws Exception { for(Person person:items) { System.out.println(person); } }} Person
package com.dhcc.batch.batchDemo.input.db.jdbc;import java.util.Date;public class Person { private Integer id; private String name; private String perDesc; private Date createTime; private Date updateTime; private String sex; private Float score; private Double price; public Person() { super(); } public Person(Integer id, String name, String perDesc, Date createTime, Date updateTime, String sex, Float score, Double price) { super(); this.id = id; this.name = name; this.perDesc = perDesc; this.createTime = createTime; this.updateTime = updateTime; this.sex = sex; this.score = score; this.price = price; } public Integer getId() { return id; } public void setId(Integer id) { this.id = id; } public String getName() { return name; } public void setName(String name) { this.name = name; } public Date getCreateTime() { return createTime; } public String getPerDesc() { return perDesc; } public void setPerDesc(String perDesc) { this.perDesc = perDesc; } public void setCreateTime(Date createTime) { this.createTime = createTime; } public Date getUpdateTime() { return updateTime; } public void setUpdateTime(Date updateTime) { this.updateTime = updateTime; } public String getSex() { return sex; } public void setSex(String sex) { this.sex = sex; } public Float getScore() { return score; } public void setScore(Float score) { this.score = score; } public Double getPrice() { return price; } public void setPrice(Double price) { this.price = price; } @Override public String toString() { return "Person [id=" + id + ", name=" + name + ", perDesc=" + perDesc + ", createTime=" + createTime + ", updateTime=" + updateTime + ", sex=" + sex + ", score=" + score + ", price=" + price + "]"; }}PersonRowMapper：
package com.dhcc.batch.batchDemo.input.db.jdbc;import java.sql.ResultSet;import java.sql.SQLException;import org.springframework.jdbc.core.RowMapper;/** * 实现将数据库中的每条数据映射到Person对象中 * @author Administrator * */public class PersonRowMapper implements RowMapper { /** * rs一条结果集，rowNum代表当前行 */ @Override public Person mapRow(ResultSet rs, int rowNum) throws SQLException { return new Person(rs.getInt("id") ,rs.getString("name") ,rs.getString("per_desc") ,rs.getDate("create_time") ,rs.getDate("update_time") ,rs.getString("sex") ,rs.getFloat("score") ,rs.getDouble("price")); }} 运行结果：
1.FlatFileItemReader:
(1)set lines to skip:设置跳过前几行
(2)set resource:指定源文件地址
(3)设置一个行解析器映射行对应的结果集
2.例:我们在项目中的resources中放入了两个csv文件，我们以读取springbatchtest1.csv为例：
（1）观察文件存放路径：
（2）展示部分文件结构：
（3）编写代码：
AlipayTranDo ：
package com.dhcc.batch.batchDemo.input.flatFile;public class AlipayTranDo { private String tranId; private String channel; private String tranType; private String counterparty; private String goods; private String amount; private String isDebitCredit; private String state; public AlipayTranDo(String tranId, String channel, String tranType, String counterparty, String goods, String amount, String isDebitCredit, String state) { super(); this.tranId = tranId; this.channel = channel; this.tranType = tranType; this.counterparty = counterparty; this.goods = goods; this.amount = amount; this.isDebitCredit = isDebitCredit; this.state = state; } public String getTranId() { return tranId; } public void setTranId(String tranId) { this.tranId = tranId; } public String getChannel() { return channel; } public void setChannel(String channel) { this.channel = channel; } public String getTranType() { return tranType; } public void setTranType(String tranType) { this.tranType = tranType; } public String getCounterparty() { return counterparty; } public void setCounterparty(String counterparty) { this.counterparty = counterparty; } public String getGoods() { return goods; } public void setGoods(String goods) { this.goods = goods; } public String getAmount() { return amount; } public void setAmount(String amount) { this.amount = amount; } public String getIsDebitCredit() { return isDebitCredit; } public void setIsDebitCredit(String isDebitCredit) { this.isDebitCredit = isDebitCredit; } public String getState() { return state; } public void setState(String state) { this.state = state; } @Override public String toString() { return "AlipayTranDO{" + "tranId='" + tranId + '\'' + ", channel='" + channel + '\'' + ", tranType='" + tranType + '\'' + ", counterparty='" + counterparty + '\'' + ", goods='" + goods + '\'' + ", amount='" + amount + '\'' + ", isDebitCredit='" + isDebitCredit + '\'' + ", state='" + state + '\'' + '}'; } }AlipayTranDoFileMapper：
package com.dhcc.batch.batchDemo.input.flatFile;import org.springframework.batch.item.file.mapping.FieldSetMapper;import org.springframework.batch.item.file.transform.FieldSet;import org.springframework.validation.BindException;public class AlipayTranDoFileMapper implements FieldSetMapper { @Override public AlipayTranDo mapFieldSet(FieldSet fieldSet) throws BindException { return new AlipayTranDo(fieldSet.readString("tranId") , fieldSet.readString("channel") ,fieldSet.readString("tranType") , fieldSet.readString("counterparty") , fieldSet.readString("goods") ,fieldSet.readString("amount") , fieldSet.readString("isDebitCredit") , fieldSet.readString("state") ); }} FlatFileWriterDemo：
package com.dhcc.batch.batchDemo.input.flatFile;import java.util.List;import org.springframework.batch.item.ItemWriter;import org.springframework.stereotype.Component;@Component("FlatFileWriterDemo")public class FlatFileWriterDemo implements ItemWriter{ @Override public void write(List items) throws Exception { for(AlipayTranDo alipayTranDo:items) { System.out.println(alipayTranDo); } }} InputFaltFileItemReaderConfigruation：
package com.dhcc.batch.batchDemo.input.flatFile;import org.springframework.batch.core.Job;import org.springframework.batch.core.Step;import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepScope;import org.springframework.batch.item.ItemWriter;import org.springframework.batch.item.file.FlatFileItemReader;import org.springframework.batch.item.file.mapping.DefaultLineMapper;import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.io.ClassPathResource;@Configurationpublic class InputFaltFileItemReaderConfigruation { @Autowired private JobBuilderFactory jobBuilderFactory; @Autowired private StepBuilderFactory stepBuilderFactory; @Autowired @Qualifier("FlatFileWriterDemo") private ItemWriter FlatFileWriterDemo; @Bean public Job FaltFileItemReaderJob() { return jobBuilderFactory.get("FaltFileItemReaderJob") .start(FaltFileItemReaderJobStep()) .build(); } @Bean public Step FaltFileItemReaderJobStep() { return stepBuilderFactory.get("FaltFileItemReaderJobStep") .chunk(100) .reader(FaltFileReaderDemo()) .writer(FlatFileWriterDemo) .build(); } @Bean @StepScope public FlatFileItemReader FaltFileReaderDemo() { FlatFileItemReader reader=new FlatFileItemReader(); reader.setResource(new ClassPathResource("/data/init/springbatchtest1.csv")); reader.setLinesToSkip(5); DelimitedLineTokenizer tokenizer=new DelimitedLineTokenizer(); tokenizer.setNames(new String[] {"tranId","channel","tranType","counterparty","goods","amount","isDebitCredit","state"} ); DefaultLineMapper lineMapper=new DefaultLineMapper(); lineMapper.setLineTokenizer(tokenizer); lineMapper.setFieldSetMapper(new AlipayTranDoFileMapper()); lineMapper.afterPropertiesSet(); reader.setLineMapper(lineMapper); return reader; }} InputItemReaderFileApplication：
package com.dhcc.batch.batchDemo.input.flatFile;import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplication@EnableBatchProcessingpublic class InputItemReaderFileApplication { public static void main(String[] args) { SpringApplication.run(InputItemReaderFileApplication.class, args); }}运行结果：
四．使用ItemReader从xml文件中读取数据
1.使用StaxEventItemReader
2.例：在项目中加入一个weather.xml文件，以读取此文件为例
观察xml文件数据结构:
使用spring batch读取xml文件数据代码如下：
WeatherData:
package com.dhcc.batch.batchDemo.input.xmlFile;public class WeatherData { private String date; private String icon; private String weather; private String temperature; private String winddirect; public WeatherData() { super(); } public WeatherData(String date, String icon, String weather, String temperature, String winddirect) { super(); this.date = date; this.icon = icon; this.weather = weather; this.temperature = temperature; this.winddirect = winddirect; } public String getDate() { return date; } public void setDate(String date) { this.date = date; } public String getIcon() { return icon; } public void setIcon(String icon) { this.icon = icon; } public String getWeather() { return weather; } public void setWeather(String weather) { this.weather = weather; } public String getTemperature() { return temperature; } public void setTemperature(String temperature) { this.temperature = temperature; } public String getWinddirect() { return winddirect; } public void setWinddirect(String winddirect) { this.winddirect = winddirect; } @Override public String toString() { return "WeatherData [date=" + date + ", icon=" + icon + ", weather=" + weather + ", temperature=" + temperature + ", winddirect=" + winddirect + "]"; }}XMLFileDemoJobConfiguration :
package com.dhcc.batch.batchDemo.input.xmlFile;import java.util.HashMap;import java.util.Map;import org.springframework.batch.core.Job;import org.springframework.batch.core.Step;import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepScope;import org.springframework.batch.item.ItemWriter;import org.springframework.batch.item.xml.StaxEventItemReader;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.io.ClassPathResource;import org.springframework.oxm.xstream.XStreamMarshaller;@Configurationpublic class XMLFileDemoJobConfiguration { @Autowired private JobBuilderFactory jobBuilderFactory; @Autowired private StepBuilderFactory stepBuilderFactory; @Autowired @Qualifier("XMLFileWriterDemo") private ItemWriter XMLFileWriterDemo; @Bean public Job XMLFileDemoReaderJobTwo() { return jobBuilderFactory.get("XMLFileDemoReaderJobTwo") .start(XMLFileDemoReaderStepTwo()) .build(); } @Bean public Step XMLFileDemoReaderStepTwo() { return stepBuilderFactory.get("XMLFileDemoReaderStepTwo") .chunk(2) .reader(XMLFileItemReader()) .writer(XMLFileWriterDemo) .build(); } @Bean @StepScope public StaxEventItemReader XMLFileItemReader() { StaxEventItemReader reader=new StaxEventItemReader(); reader.setResource(new ClassPathResource("/xdata/init/weather.xml")); reader.setFragmentRootElementName("data"); XStreamMarshaller unmarshaller=new XStreamMarshaller(); Map map=new HashMap<>(); map.put("data", WeatherData.class); unmarshaller.setAliases(map); reader.setUnmarshaller(unmarshaller);//序列化 return reader; }} XMLFileWriterDemo :
package com.dhcc.batch.batchDemo.input.xmlFile;import java.util.List;import org.springframework.batch.item.ItemWriter;import org.springframework.stereotype.Component;@Component("XMLFileWriterDemo")public class XMLFileWriterDemo implements ItemWriter{ @Override public void write(List items) throws Exception { for(WeatherData weatherInfo:items) { System.out.println(weatherInfo); } }} XmlFileReaderApplication :
package com.dhcc.batch.batchDemo.input.xmlFile;import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplication@EnableBatchProcessingpublic class XmlFileReaderApplication { public static void main(String[] args) { SpringApplication.run(XmlFileReaderApplication.class, args); }}运行结果：
观察结果可得，我们成功的读取了xml文件
五．从多个文件读取数据
1.在一个给定的目录下一次读取多个文件时非常常见的
2.我们可以使用MultiResourceItemReader来注册一个input file并且设置代理的ItemReader去处理每一个源文件
例：我们在项目中同时存放两个csv文件，如下所示：
我们以读取这两个文件为例：
代码：
实体类与上面例子实体类一样AlipaytranDo,不做展示
AlipayTranDoMutipleMapper ：
package com.dhcc.batch.batchDemo.input.mutiple;import org.springframework.batch.item.file.mapping.FieldSetMapper;import org.springframework.batch.item.file.transform.FieldSet;import org.springframework.validation.BindException;public class AlipayTranDoMutipleMapper implements FieldSetMapper { @Override public AlipayTranDo mapFieldSet(FieldSet fieldSet) throws BindException { return new AlipayTranDo(fieldSet.readString("tranId") , fieldSet.readString("channel") ,fieldSet.readString("tranType") , fieldSet.readString("counterparty") , fieldSet.readString("goods") ,fieldSet.readString("amount") , fieldSet.readString("isDebitCredit") , fieldSet.readString("state") ); }} MutipleFileDemoReaderApplication ：
package com.dhcc.batch.batchDemo.input.mutiple;import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplication@EnableBatchProcessingpublic class MutipleFileDemoReaderApplication { public static void main(String[] args) { SpringApplication.run(MutipleFileDemoReaderApplication.class, args); }}MutipleFileDemoReaderConfiguration ：
package com.dhcc.batch.batchDemo.input.mutiple;import org.springframework.batch.core.Job;import org.springframework.batch.core.Step;import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepScope;import org.springframework.batch.item.ItemWriter;import org.springframework.batch.item.file.FlatFileItemReader;import org.springframework.batch.item.file.MultiResourceItemReader;import org.springframework.batch.item.file.mapping.DefaultLineMapper;import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.beans.factory.annotation.Value;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.io.Resource;@Configurationpublic class MutipleFileDemoReaderConfiguration { @Autowired private JobBuilderFactory jobBuilderFactory; @Autowired private StepBuilderFactory stepBuilderFactory; @Autowired @Qualifier("MutipleFileItemWriterDemo") private ItemWriter MutipleFileItemWriterDemo; @Value("classpath*:/data/init/springbatchtest*.csv") private Resource[] resources; @Bean public Job MutipleFileDemoReaderJob3() { return jobBuilderFactory.get("MutipleFileDemoReaderJob3") .start(MutipleFileDemoItemReaderJobStep3()) .build(); } @Bean public Step MutipleFileDemoItemReaderJobStep3() { return stepBuilderFactory.get("MutipleFileDemoItemReaderJobStep3") .chunk(100) .reader(MutipleResourceItemReaderDemo()) .writer(MutipleFileItemWriterDemo) .build(); } @Bean @StepScope public MultiResourceItemReader MutipleResourceItemReaderDemo() { MultiResourceItemReader reader=new MultiResourceItemReader(); reader.setDelegate(FaltFileReaderDemo()); reader.setResources(resources); return reader; } @Bean @StepScope public FlatFileItemReader FaltFileReaderDemo() { FlatFileItemReader reader=new FlatFileItemReader();// reader.setResource(new ClassPathResource("alipayTranDo")); reader.setLinesToSkip(5); DelimitedLineTokenizer tokenizer=new DelimitedLineTokenizer(); tokenizer.setNames(new String[] {"tranId","channel","tranType","counterparty","goods","amount","isDebitCredit","state"} ); DefaultLineMapper lineMapper=new DefaultLineMapper(); lineMapper.setLineTokenizer(tokenizer); lineMapper.setFieldSetMapper(new AlipayTranDoMutipleMapper()); lineMapper.afterPropertiesSet(); reader.setLineMapper(lineMapper); return reader; }} MutipleFileItemWriterDemo :
package com.dhcc.batch.batchDemo.input.mutiple;import java.util.List;import org.springframework.batch.item.ItemWriter;import org.springframework.stereotype.Component;@Component("MutipleFileItemWriterDemo")public class MutipleFileItemWriterDemo implements ItemWriter{ @Override public void write(List items) throws Exception { for(AlipayTranDo alipayTranDo:items) { System.out.println(alipayTranDo); } }} 六．ItemReader异常处理及重启
1.对于chunk类型的Step,spring batch为我们提供了用于管理它的状态
2.状态的管理是通过ItemStream接口来实现的
3.ItemStream接口：
（1）open():每一次step执行会调用
（2）Update():每一个chunk去执行都会调用
（3）Close():所有的chunk执行完毕会调用
4.图形：
此处不再展示例子
最后附上项目pom.xml
4.0.0 com.dhcc.batch batchDemo 0.0.1-SNAPSHOT jar batchDemo Demo project for Spring Boot org.springframework.boot spring-boot-starter-parent 2.0.4.RELEASE UTF-8 UTF-8 1.8 org.springframework.boot spring-boot-starter-batch org.springframework.boot spring-boot-starter-test test org.springframework.batch spring-batch-test test org.springframework spring-oxm 5.0.8.RELEASE com.thoughtworks.xstream xstream 1.4.10 org.springframework.boot spring-boot-starter-jdbc mysql mysql-connector-java runtime org.springframework.boot spring-boot-maven-plugin
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