您可以创建一个可执行的JAR文件,并使用Maven或Gradle命令运行Spring Boot应用程序,如下所示 :
对于Maven,您可以使用下面给出的命令 :
mvn clean install
"BUILD SUCCESS"之后,你可以在目标目录下找到JAR文件.
对于Gradle,你可以使用如下所示的命令 :
gradle clean build
在"BUILD SUCCESSFUL"之后,你可以在build/libs目录下找到JAR文件.
使用此处给出的命令运行JAR文件 :
java -jar
现在,应用程序已在Tomcat端口8080上启动,如图所示.
现在,在网络中点击URL http://localhost:8080/浏览器并连接Web套接字并发送问候语并接收消息.
批处理服务是在单个任务中执行多个命令的过程.在本章中,您将学习如何在Spring Boot应用程序中创建批处理服务.
让我们考虑一个示例,我们将CSV文件内容保存到HSQLDB中.
要创建批处理服务程序,我们需要在构建配置文件中添加Spring Boot Starter Batch依赖项和HSQLDB依赖项.
Maven用户可以在pom.xml文件中添加以下依赖项.
org.springframework.boot spring-boot-starter-batch org.hsqldb hsqldb
Gradle用户可以在build.gradle文件中添加以下依赖项.
compile("org.springframework.boot:spring-boot-starter-batch")compile("org.hsqldb:hsqldb")
现在,在classpath resources - src/main/resources下添加简单的CSV数据文件,并将文件命名为file.csv,如下所示 :
William,JohnMike, SebastianLawarance, Lime
接下来,在类路径资源下编写HSQLDB的SQL脚本目录 - request_fail_hystrix_timeout
DROP TABLE USERS IF EXISTS;CREATE TABLE USERS ( user_id BIGINT IDENTITY NOT NULL PRIMARY KEY, first_name VARCHAR(20), last_name VARCHAR(20));
为USERS模型创建一个POJO类,如下所示 :
package com.it1352.batchservicedemo;public class User { private String lastName; private String firstName; public User() { } public User(String firstName, String lastName) { this.firstName = firstName; this.lastName = lastName; } public void setFirstName(String firstName) { this.firstName = firstName; } public String getFirstName() { return firstName; } public String getLastName() { return lastName; } public void setLastName(String lastName) { this.lastName = lastName; } @Override public String toString() { return "firstName: " + firstName + ", lastName: " + lastName; } }
现在,创建一个中间处理器,在从CSV文件读取数据之后和写入之前执行操作将数据导入SQL.
package com.it1352.batchservicedemo; import org.slf4j.Logger;import org.slf4j.LoggerFactory;import org.springframework.batch.item.ItemProcessor;public class UserItemProcessor implements ItemProcessor{ private static final Logger log = LoggerFactory.getLogger(UserItemProcessor.class); @Override public User process(final User user) throws Exception { final String firstName = user.getFirstName().toUpperCase(); final String lastName = user.getLastName().toUpperCase(); final User transformedPerson = new User(firstName, lastName); log.info("Converting (" + user + ") into (" + transformedPerson + ")"); return transformedPerson; }}
让我们创建一个Batch配置文件,从CSV读取数据并写入SQL文件,如图所示下面.我们需要在配置类文件中添加@EnableBatchProcessing注释. @EnableBatchProcessing注释用于启用Spring Boot应用程序的批处理操作.
package com.it1352.batchservicedemo; import javax.sql.DataSource;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.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.beans.factory.annotation.Autowired;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.io.ClassPathResource;@Configuration@EnableBatchProcessingpublic class BatchConfiguration { @Autowired public JobBuilderFactory jobBuilderFactory; @Autowired public StepBuilderFactory stepBuilderFactory; @Autowired public DataSource dataSource; @Bean public FlatFileItemReaderreader() { FlatFileItemReader reader = new FlatFileItemReader (); reader.setResource(new ClassPathResource("file.csv")); reader.setLineMapper(new DefaultLineMapper () { { setLineTokenizer(new DelimitedLineTokenizer() { { setNames(new String[] { "firstName", "lastName" }); } }); setFieldSetMapper(new BeanWrapperFieldSetMapper () { { setTargetType(User.class); } }); } }); return reader; } @Bean public UserItemProcessor processor() { return new UserItemProcessor(); } @Bean public JdbcBatchItemWriter writer() { JdbcBatchItemWriter writer = new JdbcBatchItemWriter (); writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider ()); writer.setSql("INSERT INTO USERS (first_name, last_name) VALUES (:firstName, :lastName)"); writer.setDataSource(dataSource); return writer; } @Bean public Job importUserJob(JobCompletionNotificationListener listener) { return jobBuilderFactory.get("importUserJob").incrementer( new RunIdIncrementer()).listener(listener).flow(step1()).end().build(); } @Bean public Step step1() { return stepBuilderFactory.get("step1"). chunk(10).reader(reader()).processor(processor()).writer(writer()).build(); }}
reader()方法用于从CSV文件中读取数据和writer()方法用于将数据写入SQL.
接下来,我们将编写一个Job Completion Notification Listener类 - 用于在作业完成后通知.
package com.it1352.batchservicedemo; import java.sql.ResultSet; import java.sql.SQLException; import java.util.List; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.batch.core.BatchStatus; import org.springframework.batch.core.JobExecution; import org.springframework.batch.core.listener.JobExecutionListenerSupport; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.jdbc.core.JdbcTemplate; import org.springframework.jdbc.core.RowMapper; import org.springframework.stereotype.Component; @Component 公共类JobCompletionNotificationListener扩展JobExecutionListenerSupport { private static final Logger log = LoggerFactory.getLogger(JobCompletionNotificationListener.class); private final JdbcTemplate jdbcTemplate; @Autowired public JobCompletionNotificationListener(JdbcTemplate jdbcTemplate){ this.jdbcTemplate = jdbcTemplate; } @Override public void afterJob(JobExecution jobExecution){ if(jobExecution.getStatus()== BatchStatus.COMPLETED){ log.info(" !!!工作结束!!是时候验证结果!!"); 列表<用户> results = jdbcTemplate.query("SELECT first_name,last_name FROM USERS",new RowMapper< User>(){ @Override public User mapRow(ResultSet rs,int row抛出SQLException {返回新用户(rs.getString(1),rs.getString(2)); } }); (用户人:结果){ log.info("在数据库中找到<"+ person +">"); } } } }
现在,创建一个可执行的JAR文件,然后运行Spring使用以下Maven或Gradle命令启动应用程序.
对于Maven,使用如下所示的命令 :
mvn clean install
在"BUILD SUCCESS"之后,您可以在目标目录下找到JAR文件.
对于Gradle,您可以使用如下所示的命令 :
gradle clean build
在"BUILD SUCCESSFUL"之后,您可以在build/libs目录下找到JAR文件.
使用此处给出的命令运行JAR文件 :
java -jar< JARFILE>
您可以在控制台窗口中看到输出显示 :