这节介绍如何使用spring batch。 Spring batch 默认为内存方式(HSQLDB),但是产品功能上需要进行监控job状态,以及异常情况。所以采用了存储到数据库(Mysql), 那么就需要为这部分建表,那么我们需要配置JobRepository去使用MySQL。建表脚本在 spring-batch-core jar包下的org.springframework.batch.core中。 一、搭建环境
1. 引入jar包,采用Maven的方式引入。具体需要的包可以自己慢慢试。
<dependency> <groupId>org.springframework.batch</groupId> <artifactId>spring-batch-core</artifactId> <version>${spring.batch.version}</version> </dependency> <dependency> <groupId>org.springframework.batch</groupId> <artifactId>spring-batch-admin-manager</artifactId> <version>1.3.1.RELEASE</version> </dependency> <dependency> <groupId>org.springframework.batch</groupId> <artifactId>spring-batch-infrastructure</artifactId> <version>${spring.batch.version}</version> </dependency> <dependency> <groupId>org.springframework.batch</groupId> <artifactId>spring-batch-integration</artifactId> <version>${spring.batch.version}</version> </dependency>
2. 配置XML,如果集成spring boot则按官方文档就可以。 a. 配置jobRepository
<batch:job-repository id="jobRepository" transaction-manager="main_txManager" isolation-level-for-create="REPEATABLE_READ" table-prefix="BATCH_" max-varchar-length="1000" />
b. 配置jobLauncher
<bean id="jobLauncher" class="org.springframework.batch.core.launch.support.SimpleJobLauncher"> <property name="jobRepository" ref="jobRepository"/> </bean>
c. 配置job参数传递bean jobParameterBulider
<bean id="jobParameterBulider" class="org.springframework.batch.core.JobParametersBuilder" />
d. 配置job异步多线程
<bean id="taskExecutor" class="org.springframework.core.task.SimpleAsyncTaskExecutor" />
二、 开始简单的job编写 个人喜欢先写配置,再写业务逻辑上的东西。我们以提货提醒为例子,当然这个是去除了很多东西的例子,将就着看。
<!-- start 早上到货提醒 JOB--> <batch:job id="pickUpJob" restartable="true"> <!-- master step, 10 threads (grid-size) --> <batch:step id="pickUpmasterStep" > <!-- partitioner="pickUpPartitioner" 为前期处理job传递过来的参数--> <partition step="pickUpSlave" partitioner="pickUpPartitioner" > <!-- grid-size="10" :启用多线程,线程为10--> <handler grid-size="10" task-executor="taskExecutor" /> </partition> </batch:step> </batch:job> <!-- 采用主step,嵌套step的方式,习惯这样的写法,也可以直接在主step中配置以下内容 --> <batch:step id="pickUpSlave" > <batch:tasklet transaction-manager="main_txManager" > <batch:chunk reader="pickUpReader" writer="pickUpWriter" processor="pickUpProcessor" skip-limit="20" commit-interval="100" > <!--可跳过异常 --> <batch:skippable-exception-classes> <batch:include class="java.lang.Exception"/> </batch:skippable-exception-classes> <!-- 多输出方式 --> <!--<batch:streams> <batch:stream ref="pickUpWriter" /> <batch:stream ref="productItemWriter2"/> </batch:streams>--> </batch:chunk> </batch:tasklet> <!--监听:此方法中主要用于读取固定的数据 --> <batch:listeners> <batch:listener ref="pickUpListener" before-step-method="beforeStep" /> </batch:listeners> </batch:step> <bean id="pickUpListener" class="com.cwenao.cc.scheduler.batch.listener.PickUpListener" /> <!-- 读取数据,本文采用mybatis方式,当然也可以采用jdbctemplemet,不是很推荐用mybatis --> <!-- 因为这里有个大坑在里面:mybatis使用批处理的时候,它的typ就是batch,那么我单独查询服用之前的查询的时候会抛出异常。那么问题来了,如果想解决这个问题,那么必须自己扩展mybatis的东西,这里不再阐述,有兴趣的自行研究--> <bean id="pickUpReader" class="org.mybatis.spring.batch.MyBatisPagingItemReader" scope="step" > <property name="sqlSessionFactory" ref="sqlSessionFactory" /> <!-- 传入mybatis定义的查询名字 --> <property name="queryId" value="com.cwenao.cc.basic.dao.OrderDao.selectForBatchNotPick" /> <!--分页查询 --> <property name="pageSize" value="100"/> <!-- 查询条件 --> <property name="parameterValues"> <map> <!-- 查询条件值来至于 partitioner--> <entry key="sTime" value="#{stepExecutionContext[sTime]}" /> <entry key="eTime" value="#{stepExecutionContext[eTime]}" /> </map> </property> </bean> <!--结果写入库--> <bean id="pickUpWriter" class="org.mybatis.spring.batch.MyBatisBatchItemWriter" scope="step"> <property name="sqlSessionFactory" ref="sqlSessionFactory"/> <property name="statementId" value="com.cwenao.cc.basic.dao.NoticeInfoDao.insertSelective"/> </bean> <!-- end 早上到货提醒 JOB-->
以上为配置文件,接下来一个个需要实现的类: job启动
public class BatchRedExpireOpenIdJob { @Autowired private JobLauncher jobLauncher; @Autowired private Job redExpireOpenIdJob; @Autowired JobParametersBuilder jobParameterBulider; public boolean doExecuteTask(String jobId) { if(null == jobParameterBulider) { jobParameterBulider = SpringUtil.getBean("jobParameterBulider", JobParametersBuilder.class); } if(null == redExpireOpenIdJob) { redExpireOpenIdJob = SpringUtil.getBean("redExpireOpenIdJob",Job.class); } if(null == jobLauncher) { jobLauncher = SpringUtil.getBean("jobLauncher",JobLauncher.class); } //传递参数:jobId作为启动的job唯一标识 jobParameterBulider.addDate("date", new Date()); jobParameterBulider.addString("jobId", jobId); try { //启动job JobExecution execution = jobLauncher.run(redExpireOpenIdJob,jobParameterBulider.toJobParameters()); } catch (JobExecutionAlreadyRunningException e) { e.printStackTrace(); } catch (JobRestartException e) { e.printStackTrace(); } catch (JobInstanceAlreadyCompleteException e) { e.printStackTrace(); } catch (JobParametersInvalidException e) { e.printStackTrace(); } return true; } }
pickUpPartitioner类 @Scope("step") @Component("pickUpPartitioner") public class pickUpPartitioner implements Partitioner { //参数来至于job启动的时候 @Value("#{jobParameters['jobId']}") private String jobId; @Resource TaskSchedulerDao taskSchedulerDao; @Override public Map<String, ExecutionContext> partition(int gridSize) { Map<String, ExecutionContext> result = new HashMap<String, ExecutionContext>(); //昨天的订单日期 String preOrderTime= ""; //前天的订单日期 TaskScheduler taskScheduler = taskSchedulerDao.selectByPrimaryKey(jobId); int days=0; int hours=0; if(null !=taskScheduler) { String hoursArry[] = taskScheduler.getTaskName().split("#"); if(null != hoursArry && hoursArry.length>1) { hours = Integer.parseInt(hoursArry[0]); } } if(hours != 0) { days = hours/24; } String pre2OrderTime=""; if(days==0){ preOrderTime= DateUtil.dateToStr(DateUtil.getPreDay(), "yyyy-MM-dd"); } else preOrderTime= DateUtil.dateToStr(DateUtil.getPreDay(-days), "yyyy-MM-dd"); String sTime = preOrderTime+" 00:00:00"; String eTime = preOrderTime+" 23:59:59"; ExecutionContext value = new ExecutionContext(); value.putString("sTime", sTime); value.putString("eTime", eTime); result.put("partition", value); return result; } public String getJobId() { return jobId; } public void setJobId(String jobId) { this.jobId = jobId; } }
读取数据库与写入数据库就不再写,就是一般的sql语句。 处理过程pickUpProcessor
pickUpProcessor类 @Scope("step") @Component("pickUpProcessor") public class PickUpProcessor implements ItemProcessor<OrderVo,NoticeInfo> { private static Map<String,PickPoint> pickPointMap=new HashMap<>(); //提货通知 //获取参数jobId @Value("#{jobParameters['jobId']}") private String jobId; /** * 处理过程,返回类型与传入参数和ItemProcessor<OrderVo,NoticeInfo>相同 */ @Override public NoticeInfo process( OrderVo order) throws Exception { if(null == order){ return null; } Integer amOrPm = DateUtil.getAmPm(); NoticeInfo noticeInfo = new NoticeInfo(); noticeInfo.setId(UUIDUtil.generateUUID()); noticeInfo.setStatus(APIConstant.status_enable); return noticeInfo; } //要获取JobID必须有get方法 public String getJobId() { return jobId; } public void setJobId(String jobId) { this.jobId = jobId; } }
作者:代码行间的无聊生活
链接:http://www.jianshu.com/p/46b341432262
來源:简书
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spring batch 2: 搭建环境以及简单的Job
最新推荐文章于 2024-06-29 10:06:12 发布