我曾经成功地解析了以下.json文件:
[
{
"latitude": 49.419459253939316,
"longitude": 8.676411621072491
},
{
"latitude": 49.41946061080915,
"longitude": 8.676411644939083
},
{
"latitude": 49.420365910782735,
"longitude": 8.676438042403413
}
]
下面的Jackson脚本输出一个包含点的List
。
private static <T> List<T> parseFile(final String fileName,
Class<T> contentType) {
// ...
InputStream inputStream = // Open file
ObjectMapper objectMapper = new ObjectMapper();
try {
TypeFactory typeFactory = objectMapper.getTypeFactory();
CollectionType collectionType = typeFactory
.constructCollectionType(List.class, contentType);
return objectMapper.readValue(inputStream, collectionType);
} catch (IOException e) {
e.printStackTrace();
}
return null;
}
现在数据集变得更复杂了。点的List
变成点的List
的List
。我是这样组织的,如果不正确,请纠正我。
[
[
{
"latitude": 49.419459253939316,
"longitude": 8.676411621072491
},
{
"latitude": 49.41946061080915,
"longitude": 8.676411644939083
},
{
"latitude": 49.420365910782735,
"longitude": 8.676438042403413
}
],
[
{
"latitude": 49.40460334213399,
"longitude": 8.670034018853409
},
{
"latitude": 49.404608057285145,
"longitude": 8.670028775634165
},
{
"latitude": 49.40506145685422,
"longitude": 8.66955817506422
}
]
]
我准备了以下pojo来存储数据:
public class GeoPoint {
public double latitude;
public double longitude;
}
…
public class ThreePoints {
public List<GeoPoint> points;
}
我如何改变上面的Jackson解析器,使它可以处理嵌套数组?Jackson能否将数据解析为嵌套的类结构,如ThreePoints.class
?
您可以简单地创建额外的集合类型。参见下面的代码:
TypeFactory typeFactory = mapper.getTypeFactory();
CollectionType listType = typeFactory.constructCollectionType(List.class, contentType);
CollectionType listListType = typeFactory.constructCollectionType(List.class, listType);
List<List<GeoPoint>> readValue = mapper.readValue(json, rootCollectionType);
// convert to ThreePoints
编辑
不幸的是,你不能告诉Jackson
转换你的JSON
到你的POJO
类,因为它们不适合彼此。Jackson
也不包含可以用来将JSON
映射到POJO
类的注释。你必须手动操作。使用我的代码,您可以为ThreePoints
类编写自定义反序列化器,其中可以使用内部ObjectMapper
和我的上述代码。我认为,您将能够轻松地将List<List<GeoPoint>> readValue
转换为ThreePoints
类。另一种选择-您可以在JsonUtil
类中只编写一个简单的函数。如果你真的不能改变这个JSON
,你必须手动去做。
您可以编写一个简单的自定义反序列化器
将它反序列化到你的类:
public class GeoPoint {
public double latitude;
public double longitude;
}
public class ThreePoints {
public List<GeoPoint> points;
}
编写自定义反序列化器:
class ThreePointsDeserializer extends StdDeserializer<ThreePoints> {
protected ThreePointsDeserializer() {
super(ThreePoints.class);
}
@Override
public ThreePoints deserialize(JsonParser parser, DeserializationContext ctx)
throws IOException, JsonProcessingException {
ThreePoints result = new ThreePoints();
GeoPoint[] points = parser.getCodec().readValue(parser, GeoPoint[].class);
result.points = Arrays.asList(points);
return result;
}
}
使用反序列化器:
SimpleModule module = new SimpleModule();
module.addDeserializer(ThreePoints.class, new ThreePointsDeserializer());
ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(module);
TypeFactory tf = mapper.getTypeFactory();
CollectionType collectionType = tf.constructCollectionType(List.class, ThreePoints.class);
List<ThreePoints> result = mapper.readValue(YOUR_DATA, collectionType);
我认为最优雅的解决方案是使用typererence
ObjectMapper mapper = new ObjectMapper();
TypeReference<List<List<GeoPoint>>> typeRef = new TypeReference<List<List<GeoPoint>>>() {};
List<List<GeoPoint>> locations = mapper.readValue(jsonAsString, typeRef);
你需要读取矩阵的值,首先,您需要使用一个名为Place的Pojo来映射这些值。
public class Place {
double latitude;
double longitude;
public double getLatitude() {
return latitude;
}
public void setLatitude(double latitude) {
this.latitude = latitude;
}
public double getLongitude() {
return longitude;
}
public void setLongitude(double longitude) {
this.longitude = longitude;
}
}
第二步,您需要将JsonNode映射到一个矩阵。
import java.io.IOException;
import java.util.List;
import org.codehaus.jackson.JsonNode;
import org.codehaus.jackson.map.ObjectMapper;
import org.codehaus.jackson.map.type.CollectionType;
import org.codehaus.jackson.map.type.TypeFactory;
public class Main {
static String jsonString = "[" +
" [" +
" {" +
" "latitude": 49.419459253939316," +
" "longitude": 8.676411621072491" +
" }," +
" {" +
" "latitude": 49.41946061080915," +
" "longitude": 8.676411644939083" +
" }," +
" {" +
" "latitude": 49.420365910782735," +
" "longitude": 8.676438042403413" +
" }" +
" ]," +
" [" +
" {" +
" "latitude": 49.40460334213399," +
" "longitude": 8.670034018853409" +
" }," +
" {" +
" "latitude": 49.404608057285145," +
" "longitude": 8.670028775634165" +
" }," +
" {" +
" "latitude": 49.40506145685422," +
" "longitude": 8.66955817506422" +
" }" +
" ]" +
"]";
public static void main(String...args) {
final ObjectMapper om = new ObjectMapper();
try {
final Place[][] dtos = om.readValue(new ObjectMapper()
.readValue(jsonString, JsonNode.class), Place[][].class);
} catch (IOException e) {
e.printStackTrace();
}
}
}
欢呼。