问题
Background
I am working on designing a file reading layer that can read delimited files and load it in a List. I have decided to use Spring Batch because it provides a lot of scalability options which I can leverage for different sets of files depending on their size.
The requirement
- I want to design a generic Job API that can be used to read any delimited file.
- There should be a single Job structure that should be used for parsing every delimited file. For example, if the system needs to read 5 files, there will be 5 jobs (one for each file). The only way the 5 jobs will be different from each other is that they will use a different
FieldSetMapper, column name, directory path and additional scaling parameters such ascommit-intervalandthrottle-limit. - The user of this API should not need to configure a Spring batch job, step, chunking, partitioning, etc on his own when a new file type is introduced in the system.
- All that the user needs to do is to provide the
FieldsetMapperto be used by the job along with thecommit-interval,throttle-limitand the directory where each type of file will be placed. - There will be one predefined directory per file. Each directory can contain multiple files of the same type and format. A
MultiResourcePartionerwill be used to look inside a directory. The number of partitions = number of files in the directory.
My requirement is to build a Spring Batch infrastructure that gives me a unique job I can launch once I have the bits and pieces that will make up the job.
My solution :
I created an abstract configuration class that will be extended by concrete configuration classes (There will be 1 concrete class per file to be read).
@Configuration
@EnableBatchProcessing
public abstract class AbstractFileLoader<T> {
private static final String FILE_PATTERN = "*.dat";
@Autowired
JobBuilderFactory jobs;
@Autowired
ResourcePatternResolver resourcePatternResolver;
public final Job createJob(Step s1, JobExecutionListener listener) {
return jobs.get(this.getClass().getSimpleName())
.incrementer(new RunIdIncrementer()).listener(listener)
.start(s1).build();
}
public abstract Job loaderJob(Step s1, JobExecutionListener listener);
public abstract FieldSetMapper<T> getFieldSetMapper();
public abstract String getFilesPath();
public abstract String[] getColumnNames();
public abstract int getChunkSize();
public abstract int getThrottleLimit();
@Bean
@StepScope
@Value("#{stepExecutionContext['fileName']}")
public FlatFileItemReader<T> reader(String file) {
FlatFileItemReader<T> reader = new FlatFileItemReader<T>();
String path = file.substring(file.indexOf(":") + 1, file.length());
FileSystemResource resource = new FileSystemResource(path);
reader.setResource(resource);
DefaultLineMapper<T> lineMapper = new DefaultLineMapper<T>();
lineMapper.setFieldSetMapper(getFieldSetMapper());
DelimitedLineTokenizer tokenizer = new DelimitedLineTokenizer(",");
tokenizer.setNames(getColumnNames());
lineMapper.setLineTokenizer(tokenizer);
reader.setLineMapper(lineMapper);
reader.setLinesToSkip(1);
return reader;
}
@Bean
public ItemProcessor<T, T> processor() {
// TODO add transformations here
return null;
}
@Bean
@JobScope
public ListItemWriter<T> writer() {
ListItemWriter<T> writer = new ListItemWriter<T>();
return writer;
}
@Bean
@JobScope
public Step readStep(StepBuilderFactory stepBuilderFactory,
ItemReader<T> reader, ItemWriter<T> writer,
ItemProcessor<T, T> processor, TaskExecutor taskExecutor) {
final Step readerStep = stepBuilderFactory
.get(this.getClass().getSimpleName() + " ReadStep:slave")
.<T, T> chunk(getChunkSize()).reader(reader)
.processor(processor).writer(writer).taskExecutor(taskExecutor)
.throttleLimit(getThrottleLimit()).build();
final Step partitionedStep = stepBuilderFactory
.get(this.getClass().getSimpleName() + " ReadStep:master")
.partitioner(readerStep)
.partitioner(
this.getClass().getSimpleName() + " ReadStep:slave",
partitioner()).taskExecutor(taskExecutor).build();
return partitionedStep;
}
/*
* @Bean public TaskExecutor taskExecutor() { return new
* SimpleAsyncTaskExecutor(); }
*/
@Bean
@JobScope
public Partitioner partitioner() {
MultiResourcePartitioner partitioner = new MultiResourcePartitioner();
Resource[] resources;
try {
resources = resourcePatternResolver.getResources("file:"
+ getFilesPath() + FILE_PATTERN);
} catch (IOException e) {
throw new RuntimeException(
"I/O problems when resolving the input file pattern.", e);
}
partitioner.setResources(resources);
return partitioner;
}
@Bean
@JobScope
public JobExecutionListener listener(ListItemWriter<T> writer) {
return new JobCompletionNotificationListener<T>(writer);
}
/*
* Use this if you want the writer to have job scope (JIRA BATCH-2269). Also
* change the return type of writer to ListItemWriter for this to work.
*/
@Bean
public TaskExecutor taskExecutor() {
return new SimpleAsyncTaskExecutor() {
@Override
protected void doExecute(final Runnable task) {
// gets the jobExecution of the configuration thread
final JobExecution jobExecution = JobSynchronizationManager
.getContext().getJobExecution();
super.doExecute(new Runnable() {
public void run() {
JobSynchronizationManager.register(jobExecution);
try {
task.run();
} finally {
JobSynchronizationManager.close();
}
}
});
}
};
}
}
Let's say I have to read Invoice data for the sake of discussion. I can therefore extend the above class for creating an InvoiceLoader :
@Configuration
public class InvoiceLoader extends AbstractFileLoader<Invoice>{
private class InvoiceFieldSetMapper implements FieldSetMapper<Invoice> {
public Invoice mapFieldSet(FieldSet f) {
Invoice invoice = new Invoice();
invoice.setNo(f.readString("INVOICE_NO");
return e;
}
}
@Override
public FieldSetMapper<Invoice> getFieldSetMapper() {
return new InvoiceFieldSetMapper();
}
@Override
public String getFilesPath() {
return "I:/CK/invoices/partitions/";
}
@Override
public String[] getColumnNames() {
return new String[] { "INVOICE_NO", "DATE"};
}
@Override
@Bean(name="invoiceJob")
public Job loaderJob(Step s1,
JobExecutionListener listener) {
return createJob(s1, listener);
}
@Override
public int getChunkSize() {
return 25254;
}
@Override
public int getThrottleLimit() {
return 8;
}
}
Let's say I have one more class called Inventory that extends AbstractFileLoader.
On application startup, I can load these two annotation configurations as follows :
AbstractApplicationContext context1 = new AnnotationConfigApplicationContext(InvoiceLoader.class, InventoryLoader.class);
Somewhere else in my application two different threads can launch the jobs as follows :
Thread 1 :
JobLauncher jobLauncher1 = context1.getBean(JobLauncher.class);
Job job1 = context1.getBean("invoiceJob", Job.class);
JobExecution jobExecution = jobLauncher1.run(job1, jobParams1);
Thread 2 :
JobLauncher jobLauncher1 = context1.getBean(JobLauncher.class);
Job job1 = context1.getBean("inventoryJob", Job.class);
JobExecution jobExecution = jobLauncher1.run(job1, jobParams1);
The advantage of this approach is that everytime there is a new file to be read, all that the developer/user has to do is subclass AbstractFileLoader and implement the required abstract methods without the need to get into the details of how to assemble the job.
The questions :
- I am new to Spring batch so I may have overlooked some of the not-so-obvious issues with this approach such as shared internal objects in Spring batch that may cause two jobs running together to fail or obvious issues such as scoping of the beans.
- Is there a better way to achieve my objective?
- The
fileNameattribute of the@Value("#{stepExecutionContext['fileName']}")is always being assigned the value asI:/CK/invoices/partitions/which is the value returned bygetPathmethod inInvoiceLoadereven though the getPathmethod inInventoryLoader`returns a different value.
回答1:
One option is passing them as job parameters. For instance:
@Bean
Job job() {
jobs.get("myJob").start(step1(null)).build()
}
@Bean
@JobScope
Step step1(@Value('#{jobParameters["commitInterval"]}') commitInterval) {
steps.get('step1')
.chunk((int) commitInterval)
.reader(new IterableItemReader(iterable: [1, 2, 3, 4], name: 'foo'))
.writer(writer(null))
.build()
}
@Bean
@JobScope
ItemWriter writer(@Value('#{jobParameters["writerClass"]}') writerClass) {
applicationContext.classLoader.loadClass(writerClass).newInstance()
}
With MyWriter:
class MyWriter implements ItemWriter<Integer> {
@Override
void write(List<? extends Integer> items) throws Exception {
println "Write $items"
}
}
Then executed with:
def jobExecution = launcher.run(ctx.getBean(Job), new JobParameters([
commitInterval: new JobParameter(3),
writerClass: new JobParameter('MyWriter'), ]))
Output is:
INFO: Executing step: [step1]
Write [1, 2, 3]
Write [4]
Feb 24, 2016 2:30:22 PM org.springframework.batch.core.launch.support.SimpleJobLauncher$1 run
INFO: Job: [SimpleJob: [name=myJob]] completed with the following parameters: [{commitInterval=3, writerClass=MyWriter}] and the following status: [COMPLETED]
Status is: COMPLETED, job execution id 0
#1 step1 COMPLETED
Full example here.
来源：https://stackoverflow.com/questions/35597456/spring-batch-assemble-a-job-rather-than-configuring-it-extensible-job-configu