是否有人有很好的Spring Batch(使用批注)示例来缓存供处理器访问的参考表?
我只需要一个简单的缓存,运行一个查询,该查询返回一些byte []并将其保留在内存中,直到执行作业为止。
感谢有关此主题的任何帮助。
谢谢!
答案 0 :(得分:2)
JobExecutionListener
可用于在执行作业之前用参考数据填充缓存,并在作业完成后清除缓存。
这里是一个例子:
import org.springframework.batch.core.Job;
import org.springframework.batch.core.JobExecution;
import org.springframework.batch.core.JobExecutionListener;
import org.springframework.batch.core.JobParameters;
import org.springframework.batch.core.Step;
import org.springframework.batch.core.StepContribution;
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.JobLauncher;
import org.springframework.batch.core.scope.context.ChunkContext;
import org.springframework.batch.core.step.tasklet.Tasklet;
import org.springframework.batch.repeat.RepeatStatus;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.CacheManager;
import org.springframework.cache.concurrent.ConcurrentMapCacheManager;
import org.springframework.context.ApplicationContext;
import org.springframework.context.annotation.AnnotationConfigApplicationContext;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
@EnableBatchProcessing
public class MyJob {
@Autowired
private JobBuilderFactory jobs;
@Autowired
private StepBuilderFactory steps;
@Bean
public CacheManager cacheManager() {
return new ConcurrentMapCacheManager(); // return the implementation you want
}
@Bean
public Tasklet tasklet() {
return new MyTasklet(cacheManager());
}
@Bean
public Step step() {
return steps.get("step")
.tasklet(tasklet())
.build();
}
@Bean
public JobExecutionListener jobExecutionListener() {
return new CachingJobExecutionListener(cacheManager());
}
@Bean
public Job job() {
return jobs.get("job")
.start(step())
.listener(jobExecutionListener())
.build();
}
class MyTasklet implements Tasklet {
private CacheManager cacheManager;
public MyTasklet(CacheManager cacheManager) {
this.cacheManager = cacheManager;
}
@Override
public RepeatStatus execute(StepContribution contribution, ChunkContext chunkContext) throws Exception {
String name = (String) cacheManager.getCache("referenceData").get("foo").get();
System.out.println("Hello " + name);
return RepeatStatus.FINISHED;
}
}
class CachingJobExecutionListener implements JobExecutionListener {
private CacheManager cacheManager;
public CachingJobExecutionListener(CacheManager cacheManager) {
this.cacheManager = cacheManager;
}
@Override
public void beforeJob(JobExecution jobExecution) {
// populate cache as needed. Can use a jdbcTemplate to query the db here and populate the cache
cacheManager.getCache("referenceData").put("foo", "bar");
}
@Override
public void afterJob(JobExecution jobExecution) {
// clear cache when the job is finished
cacheManager.getCache("referenceData").clear();
}
}
public static void main(String[] args) throws Exception {
ApplicationContext context = new AnnotationConfigApplicationContext(MyJob.class);
JobLauncher jobLauncher = context.getBean(JobLauncher.class);
Job job = context.getBean(Job.class);
jobLauncher.run(job, new JobParameters());
}
}
执行后,将打印:
Hello bar
表示已从缓存正确检索数据。您需要调整样本以查询数据库并填充缓存(请参见代码中的注释)。
希望这会有所帮助。
答案 1 :(得分:0)
您可以使用ehcache-jsr107 implementation.
进行快速设置。
here提供了Spring和ehcache集成示例。
您应该也可以与spring batch设置相同。
希望这个家伙