SUPER CSV Dozer Extension Frequently Asked Questions Answers
Super CSV Dozer Extension is a Java library used to map CSV files to Java objects (or opposite).This article will answer some common questions about Super CSV Dozer Extension, and provide necessary programming code and related configuration descriptions.
Question 1: What is Super CSV Dozer Extension?
Super CSV Dozer Extension is an expansion of Super CSV, which provides the function of using Dozer for a conversion between CSV files and Java objects.Dozer is a powerful Java object mapping tool that allows developers to perform complex conversion logic between different types of objects.By using Super CSV DOZER Extension, we can use the powerful functions of Dozer to easily convert the CSV file into a Java object or convert the Java object into a CSV file.
Question 2: How to use Super CSV Dozer Extension for conversion between CSV files and Java objects?
First, we need to add the dependencies of Super CSV Dozer Extension to our project.You can add the following dependencies in Maven or Gradle:
Maven：
<dependency>
<groupId>net.sf.supercsv</groupId>
<artifactId>super-csv-dozer</artifactId>
<version>2.4.0</version>
</dependency>
Gradle：
implementation 'net.sf.supercsv:super-csv-dozer:2.4.0'
Next, we need to create a DozerbeanMapper instance and perform the necessary mapping configuration.The following is an example:
import org.dozer.DozerBeanMapper;
import org.dozer.Mapper;
public class CsvToJavaMapper {
private static Mapper mapper;
static {
mapper = new dozerbeanmapper (); // Create DozerbeanMapper instance
Mapper.addmapping (csvtojavamappingBuilder.build ()); // Add mapping configuration
}
public static <T> T mapFromCsvToJava(Class<T> clazz, CsvBean bean) {
Return mapper.map (bean, class); // convert csvbean to Java object
}
public static <T> T[] mapArrayFromCsvToJava(Class<T> clazz, List<CsvBean> beans) {
Return mapper.map (beans.Toarray (), Clazz); // Convert the CSVBEAN list to the Java object array
}
}
In the above example, we use a CSVTOJAVAMAPPINGBUILDER class to configure the mapping relationship.Below is a signaling CSVTOJAVAMAPPINGBUILDER class:
import org.dozer.loader.api.BeanMappingBuilder;
public class CsvToJavaMappingBuilder extends BeanMappingBuilder {
protected void configure() {
MAPPING (CSVBean.Class, JavaBean.class) // Statement
.fields ("CSVField", "Javafield"); // State the mapping relationship from the CSVBean field to the JavaBean field
}
}
By the above code, we can map the CSVBean object's CSVField field to the JavaField field of the JavaBean object.
Question 3: How to convert the Java object to a CSV file?
To convert the Java object to a CSV file, we need to do the following steps:
1. Create a CSVBean object and set the corresponding field value.
2. Use DozerbeanMapper to convert the CSVBean object to Java object.
3. Use the Super CSV library to write the Java object into the CSV file.
The following is an example:
import org.supercsv.io.CsvBeanWriter;
import org.supercsv.prefs.CsvPreference;
public class JavaToCsvMapper {
public static void writeJavaToCsv(JavaBean javaBean, String csvFilePath) throws IOException {
try (Writer writer = new FileWriter(csvFilePath);
CsvBeanWriter csvWriter = new CsvBeanWriter(writer, CsvPreference.STANDARD_PREFERENCE)) {
csvwriter.write (javabean, "javafield1", "javafield2"); // write to JavaBean's specific field segment to CSV files
}
}
}
In the above example, we use csvpreference.standard_preference to configure the format of the CSV file.The specific writing operation is completed by CSVBEANWRITER.
The above is a common question answer to the common questions about Super CSV Dozer Extension and related programming code and configuration.Through this information, we can use Super CSV DOZER Extension to easily convert a CSV file and Java object.
