Java Annotation based CSV serialization/deserialization tool.It provide batch style api for small scale data, also, provide streaming style api for large scale data.
通过调用CsvSerializer.serialize(*)来进行CSV序列化
相关注解：
@CsvIgnore :此注解为标识性注解，@Target({ElementType.FIELD}), 表示该字段在序列化时会被忽略@CsvIgnoreProperties：此注解@Target({ElementType.TYPE})，在类级别指定当前类所拥有字段的哪些在序列化时忽略@CsvProperty：此注解@Target({ElementType.TYPE})，通过指定此注解的header，order,分别可以实现在序列化时指定指定的字段的csv header的值，字段的序列化顺序。最重要的一个属性是serializationConvertor/deserializationConvertor，如果需要对特定字段在序列化/反序列化时进行一些数据转换的操作，可以通过继承com.alpha.csv.convertor.SerializationConvertor/DeserializationConvertor接口,实现自定义的Convertor。Demo：
@CsvIgnoreProperties({"country"})
public class Address {
private String country = "CN";
@CsvIgnore
public String state = "ZJ";
private String city = "Hangzhou";
}
public class Person {
@CsvProperty(header="Name", order=1)
private String name = "Lahahana";
@CsvProperty(header="ID", order=0)
private int id = 10001;
@CsvProperty(header = "Birthday", order=2, convertor = TimeToDateConvertor.class)
public long birthday= System.currentTimeMillis();
private Address address = new Address();
public static void main(String []args) throws CsvException, IOException {
List persons = new ArrayList();
Person person = new Person();
for(int i=0;i<10;i++)
list.add(person);
FileWriter out = new FileWriter("result.csv");
CsvSerializer serializer = new CsvSerializer.Builder(out).build();
serializer.serialize(persons, Person.class);
serializer.close();
}
}
Result:
ID,Name,Birthday,city
10001,Lahahana,Tue Mar 28 21:14:59 GMT+08:00 2017,Hangzhou
10001,Lahahana,Tue Mar 28 21:14:59 GMT+08:00 2017,Hangzhou
Maven Dependency:
<dependency>
<groupId>com.github.lahahana</groupId>
<artifactId>csv</artifactId>
<version>2.0.1</version>
</dependency>