SpringBoot29-springboot企业级开发-批处理Spring Batch

一，Spring Batch快速入门

 1，什么是Spring Batch

       Spring Batch是用来处理大量数据操作的一个框架，主要用来读取大量数据，然后进行一定处理后输出指定的形式。

2，Spring Batch主要组成

       Spring Batch主要由以下几部分组成：

JobRepository：用户注册Job的容器

JobLauncher：用来启动Job的接口

Job：我们要实际执行的任务，包含一个或多个Step

Step：Step-步骤包含ItemReader，ItemProcessor和ItemWrter

ItemReader：用来读取数据的接口

ItemProcessor：用来处理数据的接口

ItemWriter：用来输出数据的接口

    以上Spring Batch的主要组成部分只需注册成Spring的bean即可。若想开启批处理的支持还需在配置类上使用@EnableBatchProcessing

     一个示意的Spring Batch的配置如下：

package com.jack.springboot13batch.config;import org.springframework.batch.core.Job;import org.springframework.batch.core.Step;import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;import org.springframework.batch.core.launch.support.RunIdIncrementer;import org.springframework.batch.core.launch.support.SimpleJobLauncher;import org.springframework.batch.core.repository.JobRepository;import org.springframework.batch.core.repository.support.JobRepositoryFactoryBean;import org.springframework.batch.core.step.builder.SimpleStepBuilder;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.transaction.PlatformTransactionManager;import javax.sql.DataSource;/** * create by jack 2017/10/23 */@Configuration@EnableBatchProcessingpublic class BatchConfig {    @Bean    public JobRepository jobRegistry(DataSource dataSource, PlatformTransactionManager transactionManager)throws Exception{        JobRepositoryFactoryBean jobRepositoryFactoryBean = new JobRepositoryFactoryBean();        jobRepositoryFactoryBean.setDataSource(dataSource);        jobRepositoryFactoryBean.setTransactionManager(transactionManager);        jobRepositoryFactoryBean.setDatabaseType("mysql");        return jobRepositoryFactoryBean.getObject();    }    @Bean    public SimpleJobLauncher jobLauncher(DataSource dataSource,PlatformTransactionManager transactionManager)throws Exception{        SimpleJobLauncher jobLauncher = new SimpleJobLauncher();        jobLauncher.setJobRepository(jobRegistry(dataSource,transactionManager));        return jobLauncher;    }    @Bean    public Job importJob(JobBuilderFactory jobBuilderFactory,Step step){        return jobBuilderFactory.get("importJob")                .incrementer(new RunIdIncrementer())                .flow(step)                .end()                .build();    }    @Bean    public SimpleStepBuilder<Object, Object> step1(StepBuilderFactory stepBuilderFactory, ItemReader<Person> reader, ItemWriter<Person> writer,                                                   ItemProcessor<Person,Person> processor){        return stepBuilderFactory                .get("step1")                .<Person,Person>chunk(65000)                .reader(reader)                .processor(processor)                .writer(writer)                .build();    }    @Bean    public ItemReader<Person> reader()throws Exception{        //新建ItemReader接口的实现类返回        return reader;    }    @Bean    public ItemProcessor<Person,Person> processor(){        //新建ItemProcessor接口的实现类返回        return processor;    }    @Bean    public ItemWriter<Person> writer(DataSource dataSource){        //新建ItemWriter接口的实现类返回        return writer;    }}

3，Job监听

      若需要监听我们的Job的执行情况，则定义个一个类实现JobExecutionListener，并在定义Job的Bean上绑定该监听器。

      监听器的定义如下：

package com.jack.springboot13batch.test;import org.springframework.batch.core.JobExecution;import org.springframework.batch.core.JobExecutionListener;/** * create by jack 2017/10/23 */public class MyJobListener implements JobExecutionListener {    @Override    public void beforeJob(JobExecution jobExecution) {        //job开始之前    }    @Override    public void afterJob(JobExecution jobExecution) {        //job完成之后    }}

    注册并绑定监听器到job：

@Bean    public Job importJob(JobBuilderFactory jobBuilderFactory,Step step){        return jobBuilderFactory.get("importJob")                .incrementer(new RunIdIncrementer())                .flow(step)                .end()                .listener(myJobListener())                .build();    }        @Bean    public MyJobListener myJobListener(){        return new MyJobListener();    }

4，数据读取

       Spring Batch为我们提供了大量的ItemReader的实现，用来读取不同的数据来源。

5，数据处理及校验

      数据处理和校验都要通过ItemProcessor接口实现来完成。

1）数据处理

     数据处理只需实现ItemProcessor接口，重写其process方法。方法输入的参数是从ItemReader读取到的数据，返回的数据给ItemWriter。

package com.jack.springboot13batch.test;import org.springframework.batch.item.ItemProcessor;/** * create by jack 2017/10/23 */public class MyItemProcessor implements ItemProcessor<Person,Person>{    @Override    public Person process(Person person) throws Exception {        String name = person.getName().toUpperCase();        person.setName(name);        return person;    }}

2）数据校验

     我们可以JSR-303(主要实现由hibernate-validator)的注解，来校验ItemReader读取到的数据是否满足要求。

    我们可以让我们的ItemProcessor实现ValidatingItemProcessor接口：

package com.jack.springboot13batch.test;import org.springframework.batch.item.validator.ValidationException;/** * create by jack 2017/10/23 */public class MyItemProcessor extends ValidatingItemProcessor<Person> {    @Override    public Person process(Person item) throws ValidationException {        super.process(item);        return item;    }}

     定义我们的校验器，实现的Validator接口来自于Spring，我们将使用JSR-303的Validator来校验：

public class MyBeanValidator<T> implements Validator<T>,InitializingBean {    private Validator validator;    @Override    public void afterPropertiesSet() throws Exception {        ValidatorFactory validatorFactory = Validation.buildDefaultValidatorFactory();        validator = validatorFactory.usingContext().getValidator();    }    @Override    public void validate(T value)throws ValidationException{        Set<ConstraintViolation<T>> constraintViolationSet = validator.validate(value);        if (constraintViolationSet.size()) {            StringBuilder message = new StringBuilder();            for (ConstraintViolation<T> constraintViolation:constraintViolationSet                 ) {                message.append(constraintViolation.getMessage() + "\n");            }            throw new ValidationException(message.toString());        }    }}

     在定义我们的MyItemProcessor时必须将MyBeanValidator设置进去，代码如下：

 @Bean    public ItemProcessor<Person,Person> processor(){        //新建ItemProcessor接口的实现类返回        MyItemProcessor processor = new MyItemProcessor();        processor.setValidator(myBeanValidator());        return processor;    }        @Bean    public Validator<Person> myBeanValidator(){        return new MyBeanValidator<Person>();    }

6，数据输出

     Spring Batch为我们提供了大量的ItemWriter的实现，用来将数据输出到不同的目的地。

7，计划任务

      Spring Batch的任务是通过JobLauncher的run方法来执行的，因此我们只需在普通的计划任务方法中执行JobLauncher的run方法即可。

       演示代码如下，别忘了配置类使用@EnableScheduling开启计划任务支持：

package com.jack.springboot13batch.test;import org.springframework.batch.core.Job;import org.springframework.batch.core.JobParameters;import org.springframework.batch.core.JobParametersBuilder;import org.springframework.batch.core.launch.JobLauncher;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.scheduling.annotation.Scheduled;import org.springframework.stereotype.Service;/** * create by jack 2017/10/23 */@Servicepublic class ScheduledTaskService {    @Autowired    JobLauncher jobLauncher;    @Autowired    Job importJob;    public JobParameters jobParameters;    @Scheduled(fixedRate = 5000)    public void execute()throws Exception{        jobParameters = new JobParametersBuilder()                .addLong("time",System.currentTimeMillis())                .toJobParameters();        jobLauncher.run(importJob, jobParameters);    }}

8，参数后置绑定

       我们在ItemReader和ItemWriter的Bean定义的时候，参数已经硬编码在Bean的初始化中，代码如下：

@Bean    public ItemReader<Person> reader()throws Exception{        //新建ItemReader接口的实现类返回        FlatFileItemReader<Person> reader = new FlatFileItemReader<Person>();        reader.setResource(new ClassPathResource("people.csv"));        return reader;    }

      这时我们要读取的文件的位置已经硬编码在Bean的定义中，这在很多情况下不符合我们的实际需求，这时我们需要使用参数后置绑定。

     要实现参数后置绑定，我们可以在JobParameters中绑定参数，在Bean定义的时候使用一个特殊的Bean生命周期注解@StepScope，然后通过@Value注入此参数。

String path = "people.csv";    JobParameters jobParameters = new JobParametersBuilder()            .addLong("time",System.currentTimeMillis())            .addString("input.file.name",path)            .toJobParameters();    jobParameters.run(importJob,jobParameters);

定义Bean：

 @Bean    @StepScope    public ItemReader<Person> reader(@Value("{jobParameters['input.file.name']}") String pathToFile)throws Exception{        FlatFileItemReader<Person> reader = new FlatFileItemReader<Person>();        reader.setResource(new ClassPathResource(pathToFile));        return reader;    }

二，Spring Boot的支持

      Spring Boot对Spring Batch支持的源码位于org.springframework.boot.autoconfigure.batch下。

       Spring Boot为我们自动初始化了Spring Batch存储批处理记录的数据库，且当我们程序启动时，会自动执行我们定义的Job的Bean。

       Spring Boot提供如下属性来定制Spring Batch：

#启动时要执行的job，默认执行全部jobspring.batch.job.name=job1,job2#是否自动执行定义的job，默认是spring.batch.job.enabled=true#是否初始化Spring Batch的数据库，默认为是spring.batch.initializer.enabled=truespring.batch.schema=#设置Spring Batch的数据库表的前缀spring.batch.table-prefix=

三，实战

      下面将使用Spring Batch将csv文件中数据使用JDBC批处理的方式插入数据库。

1，新建Spring Boot项目

     新建Spring Boot项目，依赖jdbc，web，spring-boot-starter-batch，mysql驱动等，详细的pom.xml配置如下：

<?xml version="1.0" encoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><groupId>com.jack</groupId><artifactId>springboot13batch</artifactId><version>0.0.1-SNAPSHOT</version><packaging>jar</packaging><name>springboot13batch</name><description>Demo project for Spring Boot</description><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>1.5.8.RELEASE</version><relativePath/> <!-- lookup parent from repository --></parent><properties><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding><project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding><java.version>1.8</java.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-batch</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-jdbc</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><!--mysql连接驱动--><!-- https://mvnrepository.com/artifact/mysql/mysql-connector-java --><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId></dependency><!--添加hibernate-validator依赖，作为数据校验使用--><dependency><groupId>org.hibernate</groupId><artifactId>hibernate-validator</artifactId></dependency><!-- https://mvnrepository.com/artifact/com.alibaba/fastjson --><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.39</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build></project>

   applicaton.yml配置如下：

#启动时要执行的job，默认执行全部job#spring.batch.job.name=job1,job2#是否自动执行定义的job，默认是#spring.batch.job.enabled=true#是否初始化Spring Batch的数据库，默认为是#spring.batch.initializer.enabled=true#spring.batch.schema=#设置Spring Batch的数据库表的前缀#spring.batch.table-prefix=server:  port: 9090spring:  datasource:    driver-class-name: com.mysql.jdbc.Driver    url: jdbc:mysql://127.0.0.1:3306/jack    username: root    password: root

测试csv数据，位于src/main/resources/people.csv中，内容如下：

    

jack1,18,汉族,北京jack2,19,汉族,上海jack3,20,非汉族,广州jack4,21,非汉族,深圳jack5,22,汉族,长沙

   数据表定义如下：位于src/main/resources/schema.sql,内容如下：

CREATE TABLE person(id int PRIMARY KEY AUTO_INCREMENT,name VARCHAR(20),age int,nation VARCHAR(20),address VARCHAR(20));

2，领域模型类

package com.jack.springboot13batch.entity;import javax.validation.constraints.Size;/** * create by jack 2017/10/28 * 领域模型类 */public class Person {    /**     * 使用JSR-303注解来校验数据     */    @Size(max = 5,min = 2)    private String name;    private int age;    private String nation;    private String address;    public String getName() {        return name;    }    public void setName(String name) {        this.name = name;    }    public int getAge() {        return age;    }    public void setAge(int age) {        this.age = age;    }    public String getNation() {        return nation;    }    public void setNation(String nation) {        this.nation = nation;    }    public String getAddress() {        return address;    }    public void setAddress(String address) {        this.address = address;    }}

3，数据处理及校验

1）处理：

package com.jack.springboot13batch.batch;import com.jack.springboot13batch.entity.Person;import org.springframework.batch.item.validator.ValidatingItemProcessor;import org.springframework.batch.item.validator.ValidationException;/** * create by jack 2017/10/28 * 处理 */public class CsvItemProcessor extends ValidatingItemProcessor<Person>{    @Override    public Person process(Person item) throws ValidationException {        /**         * 需要执行super.process(item)才会调用自定义校验器         */        super.process(item);        /**         * 对数据进行简单的处理，若民族为汉族，则数据转换为01，其余转换为02         */        if (item.getNation().equals("汉族")) {            item.setNation("01");        } else {            item.setNation("02");        }        return item;    }}

2）校验

package com.jack.springboot13batch.batch;import org.springframework.batch.item.validator.ValidationException;import org.springframework.batch.item.validator.Validator;import org.springframework.beans.factory.InitializingBean;import javax.validation.ConstraintViolation;import javax.validation.Validation;import javax.validation.ValidatorFactory;import java.util.Set;/** * create by jack 2017/10/28 */public class CsvBeanValidator<T> implements Validator<T>,InitializingBean {    private javax.validation.Validator validator;    @Override    public void validate(T value) throws ValidationException {        /**         * 使用Validator的validate方法校验数据         */        Set<ConstraintViolation<T>> constraintViolations =                validator.validate(value);        if (constraintViolations.size() > 0) {            StringBuilder message = new StringBuilder();            for (ConstraintViolation<T> constraintViolation : constraintViolations) {                message.append(constraintViolation.getMessage() + "\n");            }            throw new ValidationException(message.toString());        }    }    /**     * 使用JSR-303的Validator来校验我们的数据，在此进行JSR-303的Validator的初始化     * @throws Exception     */    @Override    public void afterPropertiesSet() throws Exception {        ValidatorFactory validatorFactory =                Validation.buildDefaultValidatorFactory();        validator = validatorFactory.usingContext().getValidator();    }}

4，监听

package com.jack.springboot13batch.batch;import org.springframework.batch.core.JobExecution;import org.springframework.batch.core.JobExecutionListener;/** * create by jack 2017/10/28 * 监听器实现JobExecutionListener接口，并重写其beforeJob，afterJob方法即可 */public class CsvJobListener implements JobExecutionListener {    private long startTime;    private long endTime;    @Override    public void beforeJob(JobExecution jobExecution) {        startTime = System.currentTimeMillis();        System.out.println("任务处理开始");    }    @Override    public void afterJob(JobExecution jobExecution) {        endTime = System.currentTimeMillis();        System.out.println("任务处理结束");        System.out.println("耗时："+(endTime-startTime)+"ms");    }}

5，配置

     配置的完成代码如下：

package com.jack.springboot13batch.batch;import com.jack.springboot13batch.entity.Person;import org.springframework.batch.core.Job;import org.springframework.batch.core.Step;import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;import org.springframework.batch.core.launch.support.RunIdIncrementer;import org.springframework.batch.core.launch.support.SimpleJobLauncher;import org.springframework.batch.core.repository.JobRepository;import org.springframework.batch.core.repository.support.JobRepositoryFactoryBean;import org.springframework.batch.item.ItemProcessor;import org.springframework.batch.item.ItemReader;import org.springframework.batch.item.ItemWriter;import org.springframework.batch.item.database.BeanPropertyItemSqlParameterSourceProvider;import org.springframework.batch.item.database.JdbcBatchItemWriter;import org.springframework.batch.item.file.FlatFileItemReader;import org.springframework.batch.item.file.mapping.BeanWrapperFieldSetMapper;import org.springframework.batch.item.file.mapping.DefaultLineMapper;import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;import org.springframework.batch.item.validator.Validator;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.io.ClassPathResource;import org.springframework.transaction.PlatformTransactionManager;import javax.sql.DataSource;/** * create by jack 2017/10/28 * 配置类 */@Configuration@EnableBatchProcessingpublic class CsvBatchConfig {    /**     * ItemReader定义,用来读取数据     * 1，使用FlatFileItemReader读取文件     * 2，使用FlatFileItemReader的setResource方法设置csv文件的路径     * 3，对此对cvs文件的数据和领域模型类做对应映射     * @return     * @throws Exception     */    @Bean    public ItemReader<Person> reader()throws Exception {        FlatFileItemReader<Person> reader = new FlatFileItemReader<>();        reader.setResource(new ClassPathResource("people.csv"));        reader.setLineMapper(new DefaultLineMapper<Person>(){            {                setLineTokenizer(new DelimitedLineTokenizer(){                    {                        setNames(new String[]{"name","age","nation","address"});                    }                });                setFieldSetMapper(new BeanWrapperFieldSetMapper<Person>(){{                    setTargetType(Person.class);                }});            }        });        return reader;    }    /**     * ItemProcessor定义，用来处理数据     * @return     */    @Bean    public ItemProcessor<Person,Person> processor(){        //使用我们自定义的ItemProcessor的实现CsvItemProcessor        CsvItemProcessor processor = new CsvItemProcessor();        //为processor指定校验器为CsvBeanValidator()        processor.setValidator(csvBeanValidator());        return processor;    }    /**     * ItemWriter定义，用来输出数据     * spring能让容器中已有的Bean以参数的形式注入，Spring Boot已经为我们定义了dataSource     * @param dataSource     * @return     */    @Bean    public ItemWriter<Person> writer(DataSource dataSource){        JdbcBatchItemWriter<Person> writer = new JdbcBatchItemWriter<>();        //我们使用JDBC批处理的JdbcBatchItemWriter来写数据到数据库        writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<>());        String sql = "insert into person "+" (name,age,nation,address) "                +" values(:name,:age,:nation,:address)";        //在此设置要执行批处理的SQL语句        writer.setSql(sql);        writer.setDataSource(dataSource);        return writer;    }    /**     * JobRepository，用来注册Job的容器     * jobRepositor的定义需要dataSource和transactionManager，Spring Boot已为我们自动配置了     * 这两个类，Spring可通过方法注入已有的Bean     * @param dataSource     * @param transactionManager     * @return     * @throws Exception     */    @Bean    public JobRepository jobRepository(DataSource dataSource, PlatformTransactionManager transactionManager)throws Exception{        JobRepositoryFactoryBean jobRepositoryFactoryBean =                new JobRepositoryFactoryBean();        jobRepositoryFactoryBean.setDataSource(dataSource);        jobRepositoryFactoryBean.setTransactionManager(transactionManager);        jobRepositoryFactoryBean.setDatabaseType("mysql");        return jobRepositoryFactoryBean.getObject();    }    /**     * JobLauncher定义，用来启动Job的接口     * @param dataSource     * @param transactionManager     * @return     * @throws Exception     */    @Bean    public SimpleJobLauncher jobLauncher(DataSource dataSource,PlatformTransactionManager transactionManager)throws Exception{        SimpleJobLauncher jobLauncher = new SimpleJobLauncher();        jobLauncher.setJobRepository(jobRepository(dataSource, transactionManager));        return jobLauncher;    }    /**     * Job定义，我们要实际执行的任务，包含一个或多个Step     * @param jobBuilderFactory     * @param s1     * @return     */    @Bean    public Job importJob(JobBuilderFactory jobBuilderFactory, Step s1){        return jobBuilderFactory.get("importJob")                .incrementer(new RunIdIncrementer())                .flow(s1)//为Job指定Step                .end()                .listener(csvJobListener())//绑定监听器csvJobListener                .build();    }    /**     *step步骤，包含ItemReader，ItemProcessor和ItemWriter     * @param stepBuilderFactory     * @param reader     * @param writer     * @param processor     * @return     */    @Bean    public Step step1(StepBuilderFactory stepBuilderFactory,ItemReader<Person> reader,ItemWriter<Person> writer,                      ItemProcessor<Person,Person> processor){        return stepBuilderFactory                .get("step1")                .<Person,Person>chunk(65000)//批处理每次提交65000条数据                .reader(reader)//给step绑定reader                .processor(processor)//给step绑定processor                .writer(writer)//给step绑定writer                .build();    }    @Bean    public CsvJobListener csvJobListener(){        return new CsvJobListener();    }    @Bean    public Validator<Person> csvBeanValidator(){        return new CsvBeanValidator<Person>();    }}

        上面的配置代码有点长，首先我们的配置类要使用@EnableBatchProcessing开启批处理的支持，这点不要忘记。

6，运行

     启动程序，Spring Boot会自动初始化Spring Batch数据库，并将csv中的数据导入到数据库中。

     为我们初始化的Spring Batch数据库如下：

监听效果如下：

数据已导入且做转换处理，如下图：

将在Person类上定义的：

@Size(max = 5,min = 2)

修改为：@Size(max = 4,min = 2)

删除掉数据的数据，启动程序，控制台输出校验错误，如下：

7，手动触发任务

     很多时候批处理任务是人为触发的，下面我们添加一个控制器，通过人为触发批处理任务，并演示参数后置绑定的使用。

    注释掉CsvBatchConfig类的@Configuration注解，让此配置类不再起效。新建TriggerBatchConfig配置类，内容与CsvBatchConfig完全保持一致，除了修改定义ItemReader这个Bean，ItemReader修改后的定义如下：

@Bean    @StepScope    public FlatFileItemReader<Person> reader(@Value("#{jobParameters['input.file.name']}") String pathToFile){        FlatFileItemReader<Person> reader = new FlatFileItemReader<>();        //        reader.setResource(new ClassPathResource(pathToFile));        reader.setLineMapper(new DefaultLineMapper<Person>(){{            setLineTokenizer(new DelimitedLineTokenizer(){{                setNames(new String[]{"name","age","nation","address"});            }});            setFieldSetMapper(new BeanWrapperFieldSetMapper<Person>(){{                setTargetType(Person.class);            }});        }});        return reader;    }

       此处需要注意Bean的类型改为FlatFileItemReader，而不是ItemReader。因为ItemReader接口中没有read方法，若使用ItemReader则会报一个“Reader must be open before it can be read”错误。

       控制器定义如下：

package com.jack.springboot13batch.controller;import org.springframework.batch.core.Job;import org.springframework.batch.core.JobParameters;import org.springframework.batch.core.JobParametersBuilder;import org.springframework.batch.core.launch.JobLauncher;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.RequestMapping;import org.springframework.web.bind.annotation.RestController;/** * create by jack 2017/10/29 */@RestController@RequestMapping("batch")public class DemoController {    @Autowired    private JobLauncher jobLauncher;    @Autowired    private Job importJob;    public JobParameters jobParameters;    @RequestMapping("/imp")    public String imp (String fileName)throws Exception{        String path = fileName+".csv";        jobParameters = new JobParametersBuilder()                .addLong("time",System.currentTimeMillis())                .addString("input.file.name",path)                .toJobParameters();        jobLauncher.run(importJob, jobParameters);        return "ok";    }}

       此时我们还要关闭Spring Boot为我们自动执行Job的配置，在application.properties里使用下面代码关闭配置：

     spring.batch.job.enabled=false

      此时我们访问http://localhost:9090/batch/imp?fileName=people，可获得相同的数据导入效果，如下：

代码地址github见：https://github.com/wj903829182/SpringCloudTwo/tree/master/springboot13batch