对于spring引导api:

@Configuration
public class JsonConfig {

    @Bean
    public MappingJackson2HttpMessageConverter mappingJackson2HttpMessageConverter() {
        MappingJackson2HttpMessageConverter jsonConverter = new MappingJackson2HttpMessageConverter();
        ObjectMapper mapper = new ObjectMapper();

        mapper.registerModule(new ParameterNamesModule())
                .registerModule(new Jdk8Module())
                .registerModule(new JavaTimeModule());

        mapper.setSerializationInclusion(JsonInclude.Include.NON_NULL);// will remove value properties
        mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
        jsonConverter.setObjectMapper(mapper);
        return jsonConverter;
    }
}

导入以下依赖项:

implementation 'com.fasterxml.jackson.core:jackson-core:2.13.0'
implementation 'com.fasterxml.jackson.core:jackson-databind:2.13.0'
implementation 'com.fasterxml.jackson.datatype:jackson-datatype-jsr310:2.13.0'

更新:由于历史原因，留下这个答案，但我不建议这样做。请参阅上面接受的答案。

告诉Jackson使用自定义的[反]序列化类进行映射:

@JsonSerialize(using = LocalDateTimeSerializer.class)
@JsonDeserialize(using = LocalDateTimeDeserializer.class)
private LocalDateTime ignoreUntil;

提供自定义类:

public class LocalDateTimeSerializer extends JsonSerializer<LocalDateTime> {
    @Override
    public void serialize(LocalDateTime arg0, JsonGenerator arg1, SerializerProvider arg2) throws IOException {
        arg1.writeString(arg0.toString());
    }
}

public class LocalDateTimeDeserializer extends JsonDeserializer<LocalDateTime> {
    @Override
    public LocalDateTime deserialize(JsonParser arg0, DeserializationContext arg1) throws IOException {
        return LocalDateTime.parse(arg0.getText());
    }
}

随机事实:如果我在类上面嵌套并且不使它们静态，错误消息是奇怪的: httpmediatypenotsupportedexception:内容类型'application/json;charset=UTF-8'不支持

@JsonDeserialize(using = LocalDateTimeDeserializer.class)
@JsonSerialize(using = LocalDateTimeSerializer.class)
private LocalDateTime createTime;

这对我来说很有效。

如果您正在使用fastxml的ObjectMapper类， 默认情况下，ObjectMapper不理解LocalDateTime类，所以，你需要在你的gradle/maven中添加另一个依赖项:

compile 'com.fasterxml.jackson.datatype:jackson-datatype-jsr310:2.7.3'

现在你需要将这个库提供的数据类型支持注册到你的objectmapper对象中，这可以通过以下方式完成:

ObjectMapper objectMapper = new ObjectMapper();
objectMapper.findAndRegisterModules();

现在，在你的jsonString中，你可以很容易地把你的java。LocalDateTime字段如下所示:

{
    "user_id": 1,
    "score": 9,
    "date_time": "2016-05-28T17:39:44.937"
}

通过这样做，你的Json文件到Java对象的转换将工作良好，你可以通过以下方式读取文件:

objectMapper.readValue(jsonString, new TypeReference<List<User>>() {
            });

我想为Spring的DurationStyle解析提供支持，在使用Jackson反序列化的自定义配置文件中的属性文件中提供支持，例如将20s序列化为Duration PT20S。我通过在ObjectMapper实例上注册一个自定义反序列化器来实现这一点:

@Bean("customConfigMapper")
public ObjectMapper customConfigMapper() {
    final ObjectMapper mapper = new ObjectMapper();
    final SimpleModule module = new SimpleModule();
    module.addDeserializer(Duration.class, new SpringDurationStyleDeserializer());
    mapper.registerModule(module);
    return mapper;
}

public static class SpringDurationStyleDeserializer extends JsonDeserializer<Duration> {
    @Override
    public Duration deserialize(JsonParser jsonParser, DeserializationContext __) throws IOException {
        return Optional.ofNullable(jsonParser.getText()).map(DurationStyle::detectAndParse).orElse(null);
    }
}

如果你正在使用Jackson Serializer，下面是一种使用date模块的方法:

import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.datatype.jdk8.Jdk8Module;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import com.fasterxml.jackson.module.paramnames.ParameterNamesModule;
import org.apache.kafka.common.serialization.Serializer;

public class JacksonSerializer<T> implements Serializer<T> {

    private final ObjectMapper mapper = new ObjectMapper()
            .registerModule(new ParameterNamesModule())
            .registerModule(new Jdk8Module())
            .registerModule(new JavaTimeModule());

    @Override
    public byte[] serialize(String s, T object) {
        try {
            return mapper.writeValueAsBytes(object);
        } catch (JsonProcessingException e) {
            e.printStackTrace();
        }
        return null;
    }
}