I feel that this also is a pretty good way to run mutiple Jobs.
I am making use of a Job Launcher to configure and execute the job and independent commandLineRunner implementation to run them. These are ordered to make sure they are executed sequentially in the required though
Apologies for the big post but I wanted to give a clear picture of what can be achieved using JobLauncher configurations with multiple command line runners
This is the current BeanConfiguration that I have
@Configuration
public class BeanConfiguration {
@Autowired
DataSource dataSource;
@Autowired
PlatformTransactionManager transactionManager;
@Bean(name="jobOperator")
public JobOperator jobOperator(JobExplorer jobExplorer,
JobRegistry jobRegistry) throws Exception {
SimpleJobOperator jobOperator = new SimpleJobOperator();
jobOperator.setJobExplorer(jobExplorer);
jobOperator.setJobRepository(createJobRepository());
jobOperator.setJobRegistry(jobRegistry);
jobOperator.setJobLauncher(jobLauncher());
return jobOperator;
}
/**
* Configure joblaucnher to set the execution to be done asycn
* Using the ThreadPoolTaskExecutor
* @return
* @throws Exception
*/
@Bean
public JobLauncher jobLauncher() throws Exception {
SimpleJobLauncher jobLauncher = new SimpleJobLauncher();
jobLauncher.setJobRepository(createJobRepository());
jobLauncher.setTaskExecutor(taskExecutor());
jobLauncher.afterPropertiesSet();
return jobLauncher;
}
// Read the datasource and set in the job repo
protected JobRepository createJobRepository() throws Exception {
JobRepositoryFactoryBean factory = new JobRepositoryFactoryBean();
factory.setDataSource(dataSource);
factory.setTransactionManager(transactionManager);
factory.setIsolationLevelForCreate("ISOLATION_SERIALIZABLE");
//factory.setTablePrefix("BATCH_");
factory.setMaxVarCharLength(10000);
return factory.getObject();
}
@Bean
public RestTemplateBuilder restTemplateBuilder() {
return new RestTemplateBuilder().additionalInterceptors(new CustomRestTemplateLoggerInterceptor());
}
@Bean(name=AppConstants.JOB_DECIDER_BEAN_NAME_EMAIL_INIT)
public JobExecutionDecider jobDecider() {
return new EmailInitJobExecutionDecider();
}
@Bean
public ThreadPoolTaskExecutor taskExecutor() {
ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();
taskExecutor.setCorePoolSize(15);
taskExecutor.setMaxPoolSize(20);
taskExecutor.setQueueCapacity(30);
return taskExecutor;
}
}
I have setup the database to hold the job exectuion details in postgre and hence the DatabaseConfiguration looks like this (two different beans for two different profiles -env)
@Configuration
public class DatasourceConfiguration implements EnvironmentAware{
private Environment env;
@Bean
@Qualifier(AppConstants.DB_BEAN)
@Profile("dev")
public DataSource getDataSource() {
HikariDataSource ds = new HikariDataSource();
boolean isAutoCommitEnabled = env.getProperty("spring.datasource.hikari.auto-commit") != null ? Boolean.parseBoolean(env.getProperty("spring.datasource.hikari.auto-commit")):false;
ds.setAutoCommit(isAutoCommitEnabled);
// Connection test query is for legacy connections
//ds.setConnectionInitSql(env.getProperty("spring.datasource.hikari.connection-test-query"));
ds.setPoolName(env.getProperty("spring.datasource.hikari.pool-name"));
ds.setDriverClassName(env.getProperty("spring.datasource.driver-class-name"));
long timeout = env.getProperty("spring.datasource.hikari.idleTimeout") != null ? Long.parseLong(env.getProperty("spring.datasource.hikari.idleTimeout")): 40000;
ds.setIdleTimeout(timeout);
long maxLifeTime = env.getProperty("spring.datasource.hikari.maxLifetime") != null ? Long.parseLong(env.getProperty("spring.datasource.hikari.maxLifetime")): 1800000 ;
ds.setMaxLifetime(maxLifeTime);
ds.setJdbcUrl(env.getProperty("spring.datasource.url"));
ds.setPoolName(env.getProperty("spring.datasource.hikari.pool-name"));
ds.setUsername(env.getProperty("spring.datasource.username"));
ds.setPassword(env.getProperty("spring.datasource.password"));
int poolSize = env.getProperty("spring.datasource.hikari.maximum-pool-size") != null ? Integer.parseInt(env.getProperty("spring.datasource.hikari.maximum-pool-size")): 10;
ds.setMaximumPoolSize(poolSize);
return ds;
}
@Bean
@Qualifier(AppConstants.DB_PROD_BEAN)
@Profile("prod")
public DataSource getProdDatabase() {
HikariDataSource ds = new HikariDataSource();
boolean isAutoCommitEnabled = env.getProperty("spring.datasource.hikari.auto-commit") != null ? Boolean.parseBoolean(env.getProperty("spring.datasource.hikari.auto-commit")):false;
ds.setAutoCommit(isAutoCommitEnabled);
// Connection test query is for legacy connections
//ds.setConnectionInitSql(env.getProperty("spring.datasource.hikari.connection-test-query"));
ds.setPoolName(env.getProperty("spring.datasource.hikari.pool-name"));
ds.setDriverClassName(env.getProperty("spring.datasource.driver-class-name"));
long timeout = env.getProperty("spring.datasource.hikari.idleTimeout") != null ? Long.parseLong(env.getProperty("spring.datasource.hikari.idleTimeout")): 40000;
ds.setIdleTimeout(timeout);
long maxLifeTime = env.getProperty("spring.datasource.hikari.maxLifetime") != null ? Long.parseLong(env.getProperty("spring.datasource.hikari.maxLifetime")): 1800000 ;
ds.setMaxLifetime(maxLifeTime);
ds.setJdbcUrl(env.getProperty("spring.datasource.url"));
ds.setPoolName(env.getProperty("spring.datasource.hikari.pool-name"));
ds.setUsername(env.getProperty("spring.datasource.username"));
ds.setPassword(env.getProperty("spring.datasource.password"));
int poolSize = env.getProperty("spring.datasource.hikari.maximum-pool-size") != null ? Integer.parseInt(env.getProperty("spring.datasource.hikari.maximum-pool-size")): 10;
ds.setMaximumPoolSize(poolSize);
return ds;
}
public void setEnvironment(Environment environment) {
// TODO Auto-generated method stub
this.env = environment;
}
}
Make sure that the initial app launcher catches the app execution which will be returned once the job execution terminates (either gets failed or completed) so that you can gracefully shutdown the jvm. Else using joblauncher makes the jvm to be alive even after all jobs get completed
@SpringBootApplication
@ComponentScan(basePackages="com.XXXX.Feedback_File_Processing.*")
@EnableBatchProcessing
public class FeedbackFileProcessingApp
{
public static void main(String[] args) throws Exception {
ApplicationContext appContext = SpringApplication.run(FeedbackFileProcessingApp.class, args);
// The batch job has finished by this point because the
// ApplicationContext is not 'ready' until the job is finished
// Also, use System.exit to force the Java process to finish with the exit code returned from the Spring App
System.exit(SpringApplication.exit(appContext));
}
}
............. so on , you can configure your own decider , your own job/steps as you said above for two different configurations like below and use them seperately in commandline runners (since the post is getting bigger, I am giving the details of just the job and command line runner)
These are the two jobs
@Configuration
public class DefferalJobConfiguration {
@Autowired
JobLauncher joblauncher;
@Autowired
private JobBuilderFactory jobFactory;
@Autowired
private StepBuilderFactory stepFactory;
@Bean
@StepScope
public Tasklet newSampleTasklet() {
return ((stepExecution, chunkContext) -> {
System.out.println("execution of step after flow");
return RepeatStatus.FINISHED;
});
}
@Bean
public Step sampleStep() {
return stepFactory.get("sampleStep").listener(new CustomStepExecutionListener())
.tasklet(newSampleTasklet()).build();
}
@Autowired
@Qualifier(AppConstants.FLOW_BEAN_NAME_EMAIL_INITIATION)
private Flow emailInitFlow;
@Autowired
@Qualifier(AppConstants.JOB_DECIDER_BEAN_NAME_EMAIL_INIT)
private JobExecutionDecider jobDecider;
@Autowired
@Qualifier(AppConstants.STEP_BEAN_NAME_ITEMREADER_FETCH_DEFERRAL_CONFIG)
private Step deferralConfigStep;
@Bean(name=AppConstants.JOB_BEAN_NAME_DEFERRAL)
public Job deferralJob() {
return jobFactory.get(AppConstants.JOB_NAME_DEFERRAL)
.start(emailInitFlow)
.on("COMPLETED").to(sampleStep())
.next(jobDecider).on("COMPLETED").to(deferralConfigStep)
.on("FAILED").fail()
.end().build();
}
}
@Configuration
public class TestFlowJobConfiguration {
@Autowired
private JobBuilderFactory jobFactory;
@Autowired
@Qualifier("testFlow")
private Flow testFlow;
@Bean(name = "testFlowJob")
public Job testFlowJob() {
return jobFactory.get("testFlowJob").start(testFlow).end().build();
}
}
Here are the command line runners (I am making sure that the first job is completed before the second job is initialized but it is totally up to the user to execute them in parallel following a different stratergy)
@Component
@Order(1)
public class DeferralCommandLineRunner implements CommandLineRunner, EnvironmentAware{
// If the jobLauncher is not used, then by default jobs are launched using SimpleJobLauncher
// with default configuration(assumption)
// hence modified the jobLauncher with vales set in BeanConfig
// of spring batch
private Environment env;
@Autowired
JobLauncher jobLauncher;
@Autowired
@Qualifier(AppConstants.JOB_BEAN_NAME_DEFERRAL)
Job deferralJob;
@Override
public void run(String... args) throws Exception {
// TODO Auto-generated method stub
JobParameters jobparams = new JobParametersBuilder()
.addString("run.time", LocalDateTime.now().
format(DateTimeFormatter.ofPattern(AppConstants.JOB_DATE_FORMATTER_PATTERN)).toString())
.addString("instance.name",
(deferralJob.getName() != null) ?deferralJob.getName()+'-'+UUID.randomUUID().toString() :
UUID.randomUUID().toString())
.toJobParameters();
jobLauncher.run(deferralJob, jobparams);
}
@Override
public void setEnvironment(Environment environment) {
// TODO Auto-generated method stub
this.env = environment;
}
}
@Component
@Order(2)
public class TestJobCommandLineRunner implements CommandLineRunner {
@Autowired
JobLauncher jobLauncher;
@Autowired
@Qualifier("testFlowJob")
Job testjob;
@Autowired
@Qualifier("jobOperator")
JobOperator operator;
@Override
public void run(String... args) throws Exception {
// TODO Auto-generated method stub
JobParameters jobParam = new JobParametersBuilder().addString("name", UUID.randomUUID().toString())
.toJobParameters();
System.out.println(operator.getJobNames());
try {
Set<Long> deferralExecutionIds = operator.getRunningExecutions(AppConstants.JOB_NAME_DEFERRAL);
System.out.println("deferralExceutuibuds:" + deferralExecutionIds);
operator.stop(deferralExecutionIds.iterator().next());
} catch (NoSuchJobException | NoSuchJobExecutionException | JobExecutionNotRunningException e) {
// just add a logging here
System.out.println("exception caught:" + e.getMessage());
}
jobLauncher.run(testjob, jobParam);
}
}
Hope this gives a complete idea of how it can be done. I am using spring-boot-starter-batch:jar:2.0.0.RELEASE