The quoteCharacter is as you mentioned applicable to fields, not records.
My question is how I can parse my CSV when a line start with '"' and end with '"' ??!
What you can do is:
- Read lines as raw Strings
- Use a composite item processor with two delegates: One that trims the
" from the start/end of each record, and another one that parses the line and map it to your domain object
Here is a quick example:
import java.util.Arrays;
import org.springframework.batch.core.Job;
import org.springframework.batch.core.JobParameters;
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.core.launch.JobLauncher;
import org.springframework.batch.item.ItemProcessor;
import org.springframework.batch.item.ItemReader;
import org.springframework.batch.item.ItemWriter;
import org.springframework.batch.item.file.mapping.BeanWrapperFieldSetMapper;
import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;
import org.springframework.batch.item.file.transform.FieldSet;
import org.springframework.batch.item.support.CompositeItemProcessor;
import org.springframework.batch.item.support.ListItemReader;
import org.springframework.beans.factory.annotation.Autowired;
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 ItemReader<String> itemReader() {
return new ListItemReader<>(Arrays.asList(
"\"1;Paris;13/4/1992;16/7/2006\"",
"\"2;Lyon;31/5/1993;1/8/2009\"",
"\"3;Metz;21/4/1990;27/4/2010\"",
"\"4;Lille;21/4/1980;27/4/2011\""
));
}
@Bean
public ItemProcessor<String, String> itemProcessor1() {
return item -> item.substring(1, item.length() - 1);
}
@Bean
public ItemProcessor<String, Record> itemProcessor2() {
DelimitedLineTokenizer lineTokenizer = new DelimitedLineTokenizer();
lineTokenizer.setNames("id", "ville");
lineTokenizer.setDelimiter(";");
lineTokenizer.setStrict(false);
BeanWrapperFieldSetMapper<Record> fieldSetMapper = new BeanWrapperFieldSetMapper<>();
fieldSetMapper.setTargetType(Record.class);
return item -> {
FieldSet tokens = lineTokenizer.tokenize(item);
return fieldSetMapper.mapFieldSet(tokens);
};
}
@Bean
public ItemWriter<Record> itemWriter() {
return items -> {
for (Record item : items) {
System.out.println(item);
}
};
}
@Bean
public CompositeItemProcessor<String, Record> compositeItemProcessor() {
CompositeItemProcessor<String, Record> compositeItemProcessor = new CompositeItemProcessor<>();
compositeItemProcessor.setDelegates(Arrays.asList(itemProcessor1(), itemProcessor2()));
return compositeItemProcessor;
}
@Bean
public Step step() {
return steps.get("step")
.<String, Record>chunk(2)
.reader(itemReader())
.processor(compositeItemProcessor())
.writer(itemWriter())
.build();
}
@Bean
public Job job() {
return jobs.get("job")
.start(step())
.build();
}
public static class Record {
private int id;
private String ville;
public Record() {
}
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public String getVille() {
return ville;
}
public void setVille(String ville) {
this.ville = ville;
}
@Override
public String toString() {
return "Record{" +
"id=" + id +
", ville='" + ville + '\'' +
'}';
}
}
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());
}
}
I used a simple POJO called Record and mapped only two fields. This sample prints:
Record{id=1, ville='Paris'}
Record{id=2, ville='Lyon'}
Record{id=3, ville='Metz'}
Record{id=4, ville='Lille'}
Hope this helps.
