Spring Batch Tutorial with Spring Boot and Java Configuration

I’ve been working on migrating some batch jobs for Podcastpedia.org to Spring Batch. Before, these jobs were developed in my own kind of way, and I thought it was high time to use a more “standardized” approach. Because I had never used Spring with java configuration before, I thought this were a good opportunity to learn about it, by configuring the Spring Batch jobs in java. And since I am all into trying new things with Spring, why not also throw Spring Boot into the boat…

Before you begin with this tutorial I recommend you read first Spring’s Getting started – Creating a Batch Service, because  the structure and the code presented here builds on that original.

1. What I’ll build

So, as mentioned, in this post I will present Spring Batch in the context of configuring it and developing with it some batch jobs for Podcastpedia.org. Here’s a short description of the two jobs that are currently part of the Podcastpedia-batch project:

1. addNewPodcastJob
   1. reads podcast metadata (feed url, identifier, categories etc.) from a flat file
   2. transforms (parses and prepares episodes to be inserted with Http Apache Client) the data
   3. and in the last step, insert it to the Podcastpedia database and inform the submitter via emailabout it
2. notifyEmailSubscribersJob – people can subscribe to their favorite podcasts on Podcastpedia.orgvia email. For those who did it is checked on a regular basis (DAILY, WEEKLY, MONTHLY) if new episodes are available, and if they are the subscribers are informed via email about those; read from database, expand read data via JPA, re-group it and notify subscriber via email

Source code:
The source code for this tutorial is available on GitHub – Podcastpedia-batch.
Note: Before you start I also highly recommend you read the Domain Language of Batch,  so that terms like “Jobs”, “Steps” or “ItemReaders” don’t sound strange to you.

2. What you’ll need

• A favorite text editor or IDE
• JDK 1.7 or later
• Maven 3.0+ 

3. Set up the project

The project is built with Maven. It uses Spring Boot, which makes it easy to create stand-alone Spring based Applications that you can “just run”.  You can learn more about the Spring Boot by visiting theproject’s website.

3.1. Maven build file

Because it uses Spring Boot it will have the spring-boot-starter-parent as its parent, and a couple of other spring-boot-starters that will get for us some libraries required in the project:

<?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>org.podcastpedia.batch</groupId>
<artifactId>podcastpedia-batch</artifactId>
<version>0.1.0</version>




<properties>
<sprinb.boot.version>1.1.6.RELEASE</sprinb.boot.version>
<java.version>1.7</java.version>
</properties>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.1.6.RELEASE</version>
</parent>




<dependencies>




<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-batch</artifactId>




</dependency> 
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency> 




<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.3.5</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpcore</artifactId>
<version>4.3.2</version>
</dependency>
<!-- velocity -->
<dependency>
<groupId>org.apache.velocity</groupId>
<artifactId>velocity</artifactId>
<version>1.7</version>
</dependency>
<dependency>
<groupId>org.apache.velocity</groupId>
<artifactId>velocity-tools</artifactId>
<version>2.0</version>
<exclusions>
<exclusion>
<groupId>org.apache.struts</groupId>
<artifactId>struts-core</artifactId>
</exclusion>
</exclusions>
</dependency>




<!-- Project rome rss, atom -->
<dependency>
<groupId>rome</groupId>
<artifactId>rome</artifactId>
<version>1.0</version>
</dependency>
<!-- option this fetcher thing -->
<dependency>
<groupId>rome</groupId>
<artifactId>rome-fetcher</artifactId>
<version>1.0</version>
</dependency>
<dependency>
<groupId>org.jdom</groupId>
<artifactId>jdom</artifactId>
<version>1.1</version>
</dependency>
<!-- PID 1 -->
<dependency>
<groupId>xerces</groupId>
<artifactId>xercesImpl</artifactId>
<version>2.9.1</version>
</dependency>




<!-- MySQL JDBC connector -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.31</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-freemarker</artifactId> 
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-remote-shell</artifactId>
<exclusions>
<exclusion>
<groupId>javax.mail</groupId>
<artifactId>mail</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>javax.mail</groupId>
<artifactId>mail</artifactId>
<version>1.4.7</version>
</dependency>
<dependency>
<groupId>javax.inject</groupId>
<artifactId>javax.inject</artifactId>
<version>1</version>
</dependency>
<dependency>
<groupId>org.twitter4j</groupId>
<artifactId>twitter4j-core</artifactId>
<version>[4.0,)</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
</dependency>
</dependencies>




<build>
<plugins>
<plugin> 
<artifactId>maven-compiler-plugin</artifactId> 
</plugin>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>

Note: One big advantage of using the spring-boot-starter-parent as the project’s parent is that you only have to upgrade the version of the parent and it will get the “latest” libraries for you. When I started the project spring boot was in version 1.1.3.RELEASE and by the time of finishing to write this post is already at 1.1.6.RELEASE.

3.2. Project directory structure

I structured the project in the following way:

└── src
└── main
└── java
└── org
└── podcastpedia
└── batch
└── common
└── jobs
└── addpodcast
└── notifysubscribers

Note:

• the org.podcastpedia.batch.jobs package contains sub-packages having specific classes to particular jobs.
•  the org.podcastpedia.batch.jobs.common package contains classes used by all the jobs, like for example the JPA entities that both the current jobs require.

4. Create a batch Job configuration

I will start by presenting the Java configuration class for the first batch job:

package org.podcastpedia.batch.jobs.addpodcast;




import org.podcastpedia.batch.common.configuration.DatabaseAccessConfiguration;
import org.podcastpedia.batch.common.listeners.LogProcessListener;
import org.podcastpedia.batch.common.listeners.ProtocolListener;
import org.podcastpedia.batch.jobs.addpodcast.model.SuggestedPodcast;
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.item.ItemProcessor;
import org.springframework.batch.item.ItemReader;
import org.springframework.batch.item.ItemWriter;
import org.springframework.batch.item.file.FlatFileItemReader;
import org.springframework.batch.item.file.LineMapper;
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.context.annotation.Import;
import org.springframework.core.io.ClassPathResource;




import com.mysql.jdbc.exceptions.jdbc4.MySQLIntegrityConstraintViolationException;




@Configuration
@EnableBatchProcessing
@Import({DatabaseAccessConfiguration.class, ServicesConfiguration.class})
public class AddPodcastJobConfiguration {




@Autowired
private JobBuilderFactory jobs;




@Autowired
private StepBuilderFactory stepBuilderFactory;




// tag::jobstep[]
@Bean
public Job addNewPodcastJob(){
return jobs.get("addNewPodcastJob")
.listener(protocolListener())
.start(step())
.build();
}




@Bean
public Step step(){
return stepBuilderFactory.get("step")
.<SuggestedPodcast,SuggestedPodcast>chunk(1) //important to be one in this case to commit after every line read
.reader(reader())
.processor(processor())
.writer(writer())
.listener(logProcessListener())
.faultTolerant()
.skipLimit(10) //default is set to 0
.skip(MySQLIntegrityConstraintViolationException.class)
.build();
}
// end::jobstep[]




// tag::readerwriterprocessor[]
@Bean
public ItemReader<SuggestedPodcast> reader(){
FlatFileItemReader<SuggestedPodcast> reader = new FlatFileItemReader<SuggestedPodcast>();
reader.setLinesToSkip(1);//first line is title definition 
reader.setResource(new ClassPathResource("suggested-podcasts.txt"));
reader.setLineMapper(lineMapper());
return reader; 
}




@Bean
public LineMapper<SuggestedPodcast> lineMapper() {
DefaultLineMapper<SuggestedPodcast> lineMapper = new DefaultLineMapper<SuggestedPodcast>();




DelimitedLineTokenizer lineTokenizer = new DelimitedLineTokenizer();
lineTokenizer.setDelimiter(";");
lineTokenizer.setStrict(false);
lineTokenizer.setNames(new String[]{"FEED_URL", "IDENTIFIER_ON_PODCASTPEDIA", "CATEGORIES", "LANGUAGE", "MEDIA_TYPE", "UPDATE_FREQUENCY", "KEYWORDS", "FB_PAGE", "TWITTER_PAGE", "GPLUS_PAGE", "NAME_SUBMITTER", "EMAIL_SUBMITTER"});




BeanWrapperFieldSetMapper<SuggestedPodcast> fieldSetMapper = new BeanWrapperFieldSetMapper<SuggestedPodcast>();
fieldSetMapper.setTargetType(SuggestedPodcast.class);




lineMapper.setLineTokenizer(lineTokenizer);
lineMapper.setFieldSetMapper(suggestedPodcastFieldSetMapper());




return lineMapper;
}




@Bean
public SuggestedPodcastFieldSetMapper suggestedPodcastFieldSetMapper() {
return new SuggestedPodcastFieldSetMapper();
}




/** configure the processor related stuff */
@Bean
public ItemProcessor<SuggestedPodcast, SuggestedPodcast> processor() {
return new SuggestedPodcastItemProcessor();
}




@Bean
public ItemWriter<SuggestedPodcast> writer() {
return new Writer();
}
// end::readerwriterprocessor[]




@Bean
public ProtocolListener protocolListener(){
return new ProtocolListener();
}




@Bean
public LogProcessListener logProcessListener(){
return new LogProcessListener();
} 




}

The @EnableBatchProcessing annotation adds many critical beans that support jobs and saves us configuration work. For example you will also be able to @Autowired some useful stuff into your context:

• a JobRepository (bean name “jobRepository”)
• a JobLauncher (bean name “jobLauncher”)
• a JobRegistry (bean name “jobRegistry”)
• a PlatformTransactionManager (bean name “transactionManager”)
• a JobBuilderFactory (bean name “jobBuilders”) as a convenience to prevent you from having to inject the job repository into every job, as in the examples above
• a StepBuilderFactory (bean name “stepBuilders”) as a convenience to prevent you from having to inject the job repository and transaction manager into every step

The first part focuses on the actual job configuration:

@Bean
public Job addNewPodcastJob(){
return jobs.get("addNewPodcastJob")
.listener(protocolListener())
.start(step())
.build();
}




@Bean
public Step step(){
return stepBuilderFactory.get("step")
.<SuggestedPodcast,SuggestedPodcast>chunk(1) //important to be one in this case to commit after every line read
.reader(reader())
.processor(processor())
.writer(writer())
.listener(logProcessListener())
.faultTolerant()
.skipLimit(10) //default is set to 0
.skip(MySQLIntegrityConstraintViolationException.class)
.build();
}

The first method defines a job and the second one defines a single step. As you’ve read in The Domain Language of Batch,  jobs are built from steps, where each step can involve a reader, a processor, and a writer.

In the step definition, you define how much data to write at a time (in our case 1 record at a time). Next you specify the reader, processor and writer.

5. Spring Batch processing units

Most of the batch processing can be described as reading data, doing some transformation on it and then writing the result out. This mirrors somehow the Extract, Transform, Load (ETL) process, in case you know more about that. Spring Batch provides three key interfaces to help perform bulk reading and writing: ItemReader, ItemProcessor and ItemWriter.

5.1. Readers

ItemReader is an abstraction providing the mean to retrieve data from many different types of input: flat files, xml files, database, jms etc., one item at a time. See the Appendix A. List of ItemReaders and ItemWriters for a complete list of available item readers.

In the Podcastpedia batch jobs I use the following specialized ItemReaders:

5.1.1. FlatFileItemReader

which, as the name implies, reads lines of data from a flat file that typically describe records with fields of data defined by fixed positions in the file or delimited by some special character (e.g. Comma). This type of ItemReader is being used in the first batch job, addNewPodcastJob. The input file used is named suggested-podcasts.in, resides in the classpath (src/main/resources) and looks something like the following:

FEED_URL; IDENTIFIER_ON_PODCASTPEDIA; CATEGORIES; LANGUAGE; MEDIA_TYPE; UPDATE_FREQUENCY; KEYWORDS; FB_PAGE; TWITTER_PAGE; GPLUS_PAGE; NAME_SUBMITTER; EMAIL_SUBMITTER
http://www.5minutebiographies.com/feed/; 5minutebiographies; people_society, history; en; Audio; WEEKLY; biography, biographies, short biography, short biographies, 5 minute biographies, five minute biographies, 5 minute biography, five minute biography; https://www.facebook.com/5minutebiographies;https://twitter.com/5MinuteBios; ; Adrian Matei; adrianmatei@gmail.com
http://notanotherpodcast.libsyn.com/rss; NotAnotherPodcast; entertainment; en; Audio; WEEKLY; Comedy, Sports, Cinema, Movies, Pop Culture, Food, Games; https://www.facebook.com/notanotherpodcastusa;https://twitter.com/NAPodcastUSA;https://plus.google.com/u/0/103089891373760354121/posts; Adrian Matei; adrianmatei@gmail.com

As you can see the first line defines the names of the “columns”, and the following lines contain the actual data (delimited by “;”), that needs translating to domain objects relevant in the context.

Let’s see now how to configure the FlatFileItemReader:

@Bean
public ItemReader<SuggestedPodcast> reader(){
FlatFileItemReader<SuggestedPodcast> reader = new FlatFileItemReader<SuggestedPodcast>();
reader.setLinesToSkip(1);//first line is title definition 
reader.setResource(new ClassPathResource("suggested-podcasts.in"));
reader.setLineMapper(lineMapper());
return reader; 
}

You can specify, among other things, the input resource, the number of lines to skip, and a line mapper.

5.1.1.1. LineMapper

The LineMapper is an interface for mapping lines (strings) to domain objects, typically used to map lines read from a file to domain objects on a per line basis.  For the Podcastpedia job I used the DefaultLineMapper, which is two-phase implementation consisting of tokenization of the line into a FieldSet followed by mapping to item:

@Bean
public LineMapper<SuggestedPodcast> lineMapper() {
DefaultLineMapper<SuggestedPodcast> lineMapper = new DefaultLineMapper<SuggestedPodcast>();




DelimitedLineTokenizer lineTokenizer = new DelimitedLineTokenizer();
lineTokenizer.setDelimiter(";");
lineTokenizer.setStrict(false);
lineTokenizer.setNames(new String[]{"FEED_URL", "IDENTIFIER_ON_PODCASTPEDIA", "CATEGORIES", "LANGUAGE", "MEDIA_TYPE", "UPDATE_FREQUENCY", "KEYWORDS", "FB_PAGE", "TWITTER_PAGE", "GPLUS_PAGE", "NAME_SUBMITTER", "EMAIL_SUBMITTER"});




BeanWrapperFieldSetMapper<SuggestedPodcast> fieldSetMapper = new BeanWrapperFieldSetMapper<SuggestedPodcast>();
fieldSetMapper.setTargetType(SuggestedPodcast.class);




lineMapper.setLineTokenizer(lineTokenizer);
lineMapper.setFieldSetMapper(suggestedPodcastFieldSetMapper());




return lineMapper;
}

• the DelimitedLineTokenizer splits the input String via the “;” delimiter.
• if you set the strict flag to false then lines with less tokens will be tolerated and padded with empty columns, and lines with more tokens will simply be truncated.
• the columns names from the first line are set lineTokenizer.setNames(...);
• and the fieldMapper is set (line 14)

public class SuggestedPodcastFieldSetMapper implements FieldSetMapper<SuggestedPodcast> {




@Override
public SuggestedPodcast mapFieldSet(FieldSet fieldSet) throws BindException {




SuggestedPodcast suggestedPodcast = new SuggestedPodcast();




suggestedPodcast.setCategories(fieldSet.readString("CATEGORIES"));
suggestedPodcast.setEmail(fieldSet.readString("EMAIL_SUBMITTER"));
suggestedPodcast.setName(fieldSet.readString("NAME_SUBMITTER"));
suggestedPodcast.setTags(fieldSet.readString("KEYWORDS"));




//some of the attributes we can map directly into the Podcast entity that we'll insert later into the database
Podcast podcast = new Podcast();
podcast.setUrl(fieldSet.readString("FEED_URL"));
podcast.setIdentifier(fieldSet.readString("IDENTIFIER_ON_PODCASTPEDIA"));
podcast.setLanguageCode(LanguageCode.valueOf(fieldSet.readString("LANGUAGE")));
podcast.setMediaType(MediaType.valueOf(fieldSet.readString("MEDIA_TYPE")));
podcast.setUpdateFrequency(UpdateFrequency.valueOf(fieldSet.readString("UPDATE_FREQUENCY")));
podcast.setFbPage(fieldSet.readString("FB_PAGE"));
podcast.setTwitterPage(fieldSet.readString("TWITTER_PAGE"));
podcast.setGplusPage(fieldSet.readString("GPLUS_PAGE"));




suggestedPodcast.setPodcast(podcast);




return suggestedPodcast;
}




}

@Bean
public ItemReader<User> notifySubscribersReader(){




JdbcCursorItemReader<User> reader = new JdbcCursorItemReader<User>();
String sql = "select * from users where is_email_subscriber is not null";




reader.setSql(sql);
reader.setDataSource(dataSource);
reader.setRowMapper(rowMapper());




return reader;
}

public class UserRowMapper implements RowMapper<User> {




@Override
public User mapRow(ResultSet rs, int rowNum) throws SQLException {
User user = new User();
user.setEmail(rs.getString("email"));




return user;
}




}

package org.podcastpedia.batch.jobs.addpodcast;




import java.util.Date;
import java.util.List;




import javax.inject.Inject;
import javax.persistence.EntityManager;




import org.podcastpedia.batch.common.entities.Podcast;
import org.podcastpedia.batch.jobs.addpodcast.model.SuggestedPodcast;
import org.podcastpedia.batch.jobs.addpodcast.service.EmailNotificationService;
import org.podcastpedia.batch.jobs.addpodcast.service.SocialMediaService;
import org.springframework.batch.item.ItemWriter;
import org.springframework.beans.factory.annotation.Autowired;




public class Writer implements ItemWriter<SuggestedPodcast>{




@Autowired
private EntityManager entityManager;




@Inject
private EmailNotificationService emailNotificationService;




@Inject
private SocialMediaService socialMediaService;




@Override
public void write(List<? extends SuggestedPodcast> items) throws Exception {




if(items.get(0) != null){
SuggestedPodcast suggestedPodcast = items.get(0);




//first insert the data in the database 
Podcast podcast = suggestedPodcast.getPodcast();




podcast.setInsertionDate(new Date());
entityManager.persist(podcast);
entityManager.flush();




//notify submitter about the insertion and post a twitt about it 
String url = buildUrlOnPodcastpedia(podcast);




emailNotificationService.sendPodcastAdditionConfirmation(
suggestedPodcast.getName(), suggestedPodcast.getEmail(),
url);
if(podcast.getTwitterPage() != null){
socialMediaService.postOnTwitterAboutNewPodcast(podcast,
url);
}
}




}




private String buildUrlOnPodcastpedia(Podcast podcast) {
StringBuffer urlOnPodcastpedia = new StringBuffer(
"http://www.podcastpedia.org");
if (podcast.getIdentifier() != null) {
urlOnPodcastpedia.append("/" + podcast.getIdentifier());
} else {
urlOnPodcastpedia.append("/podcasts/");
urlOnPodcastpedia.append(String.valueOf(podcast.getPodcastId()));
urlOnPodcastpedia.append("/" + podcast.getTitleInUrl());
}
String url = urlOnPodcastpedia.toString();
return url;
}




}

public class SuggestedPodcastItemProcessor implements ItemProcessor<SuggestedPodcast, SuggestedPodcast> {




private static final int TIMEOUT = 10;




@Autowired
ReadDao readDao;




@Autowired
PodcastAndEpisodeAttributesService podcastAndEpisodeAttributesService;




@Autowired
private PoolingHttpClientConnectionManager poolingHttpClientConnectionManager; 




@Autowired
private SyndFeedService syndFeedService;




/**
* Method used to build the categories, tags and episodes of the podcast
*/
@Override
public SuggestedPodcast process(SuggestedPodcast item) throws Exception {




if(isPodcastAlreadyInTheDirectory(item.getPodcast().getUrl())) {
return null;
}




String[] categories = item.getCategories().trim().split("\\s*,\\s*");




item.getPodcast().setAvailability(org.apache.http.HttpStatus.SC_OK);




//set etag and last modified attributes for the podcast
setHeaderFieldAttributes(item.getPodcast());




//set the other attributes of the podcast from the feed 
podcastAndEpisodeAttributesService.setPodcastFeedAttributes(item.getPodcast());




//set the categories
List<Category> categoriesByNames = readDao.findCategoriesByNames(categories);
item.getPodcast().setCategories(categoriesByNames);




//set the tags
setTagsForPodcast(item);




//build the episodes 
setEpisodesForPodcast(item.getPodcast());




return item;
}
......
}

@Scope("step")
public class NotifySubscribersItemProcessor implements ItemProcessor<User, User> {




@Autowired
EntityManager em;




@Value("#{jobParameters[updateFrequency]}")
String updateFrequency;




@Override
public User process(User item) throws Exception {




String sqlInnerJoinEpisodes = "select e from User u JOIN u.podcasts p JOIN p.episodes e WHERE u.email=?1 AND p.updateFrequency=?2 AND"
+ " e.isNew IS NOT NULL AND e.availability=200 ORDER BY e.podcast.podcastId ASC, e.publicationDate ASC";
TypedQuery<Episode> queryInnerJoinepisodes = em.createQuery(sqlInnerJoinEpisodes, Episode.class);
queryInnerJoinepisodes.setParameter(1, item.getEmail());
queryInnerJoinepisodes.setParameter(2, UpdateFrequency.valueOf(updateFrequency));




List<Episode> newEpisodes = queryInnerJoinepisodes.getResultList();




return regroupPodcastsWithEpisodes(item, newEpisodes);




}
.......
}

package org.podcastpedia.batch;
//imports ...;




@ComponentScan
@EnableAutoConfiguration
public class Application {




private static final String NEW_EPISODES_NOTIFICATION_JOB = "newEpisodesNotificationJob";
private static final String ADD_NEW_PODCAST_JOB = "addNewPodcastJob";




public static void main(String[] args) throws BeansException, JobExecutionAlreadyRunningException, JobRestartException, JobInstanceAlreadyCompleteException, JobParametersInvalidException, InterruptedException {




Log log = LogFactory.getLog(Application.class);




SpringApplication app = new SpringApplication(Application.class);
app.setWebEnvironment(false);
ConfigurableApplicationContext ctx= app.run(args);
JobLauncher jobLauncher = ctx.getBean(JobLauncher.class);




if(ADD_NEW_PODCAST_JOB.equals(args[0])){
//addNewPodcastJob
Job addNewPodcastJob = ctx.getBean(ADD_NEW_PODCAST_JOB, Job.class);
JobParameters jobParameters = new JobParametersBuilder()
.addDate("date", new Date())
.toJobParameters(); 




JobExecution jobExecution = jobLauncher.run(addNewPodcastJob, jobParameters);




BatchStatus batchStatus = jobExecution.getStatus();
while(batchStatus.isRunning()){
log.info("*********** Still running.... **************");
Thread.sleep(1000);
}
log.info(String.format("*********** Exit status: %s", jobExecution.getExitStatus().getExitCode()));
JobInstance jobInstance = jobExecution.getJobInstance();
log.info(String.format("********* Name of the job %s", jobInstance.getJobName()));




log.info(String.format("*********** job instance Id: %d", jobInstance.getId()));




System.exit(0);




} else if(NEW_EPISODES_NOTIFICATION_JOB.equals(args[0])){
JobParameters jobParameters = new JobParametersBuilder()
.addDate("date", new Date())
.addString("updateFrequency", args[1])
.toJobParameters(); 




jobLauncher.run(ctx.getBean(NEW_EPISODES_NOTIFICATION_JOB, Job.class), jobParameters); 
} else {
throw new IllegalArgumentException("Please provide a valid Job name as first application parameter");
}




System.exit(0);
}




}