I get JSON from a web service and can not influence the JSON format. The JSON code below is just an example to illustrate the problem. The field cars
can either be an object containing Car
objects or it can be an empty string. If I could change the web service, I'd change the empty String to be an empty object like "cars" : {}
instead of "cars" : ""
.
When trying to map JSON to this Java object:
public class Person {
public int id;
public String name;
public Map<String, Car> cars;
}
This works:
{
"id" : "1234",
"name" : "John Doe",
"cars" : {
"Tesla Model S" : {
"color" : "silver",
"buying_date" : "2012-06-01"
},
"Toyota Yaris" : {
"color" : "blue",
"buying_date" : "2005-01-01"
}
}
}
And this fails:
{
"id" : "1",
"name" : "The Dude",
"cars" : ""
}
What would be the best way to handle this case in Jackson? If there's the empty string, I'd like to get null
for the field cars
. I tried using ACCEPT_EMPTY_STRING_AS_NULL_OBJECT
, but it didn't help.
The field cars can either contain a list of Car objects
...
This works:
{
"id" : "1234",
"name" : "John Doe",
"cars" : {
"Tesla Model S" : {
"color" : "silver",
"buying_date" : "2012-06-01"
},
"Toyota Yaris" : {
"color" : "blue",
"buying_date" : "2005-01-01"
}
}
}
The "cars" element value is not a list (aka array). It's a JSON object, which can also be considered a map-type collection, but it is not a list.
So, to rephrase the issue, the goal is to deserialize JSON that is sometimes an object and sometimes an empty string into a Java Map
.
To solve this, I'm surprised ACCEPT_EMPTY_STRING_AS_NULL_OBJECT
didn't work. I recommend logging an issue at http://jira.codehaus.org/browse/JACKSON.
You could implement custom deserialization. Following is an example solution. If the target data structure has other Map
references, then this solution would need to be accordingly changed.
import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import org.codehaus.jackson.JsonNode;
import org.codehaus.jackson.JsonParser;
import org.codehaus.jackson.JsonProcessingException;
import org.codehaus.jackson.ObjectCodec;
import org.codehaus.jackson.Version;
import org.codehaus.jackson.map.DeserializationContext;
import org.codehaus.jackson.map.JsonDeserializer;
import org.codehaus.jackson.map.ObjectMapper;
import org.codehaus.jackson.map.module.SimpleModule;
import org.codehaus.jackson.type.TypeReference;
public class Foo
{
public static void main(String[] args) throws Exception
{
SimpleModule module = new SimpleModule("CarsDeserializer", Version.unknownVersion());
module.addDeserializer(Map.class, new CarsDeserializer());
ObjectMapper mapper = new ObjectMapper().withModule(module);
Person person1 = mapper.readValue(new File("input1.json"), Person.class);
System.out.println(mapper.writeValueAsString(person1));
// {"id":1234,"name":"John Doe","cars":{"Tesla Model S":{"color":"silver","buying_date":"2012-06-01"},"Toyota Yaris":{"color":"blue","buying_date":"2005-01-01"}}}
Person person2 = mapper.readValue(new File("input2.json"), Person.class);
System.out.println(mapper.writeValueAsString(person2));
// {"id":1,"name":"The Dude","cars":{}}
}
}
class Person
{
public int id;
public String name;
public Map<String, Car> cars;
}
class Car
{
public String color;
public String buying_date;
}
class CarsDeserializer extends JsonDeserializer<Map<String, Car>>
{
@Override
public Map<String, Car> deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException,
JsonProcessingException
{
ObjectCodec codec = jp.getCodec();
JsonNode node = codec.readTree(jp);
if (!"".equals(node.getTextValue()))
{
ObjectMapper mapper = new ObjectMapper();
return mapper.readValue(node, new TypeReference<Map<String, Car>>() {});
}
return new HashMap<String, Car>(); // or return null, if preferred
}
}