这只是一个例子，如何使用它在一个单元测试，我黑调试这个问题。 关键成分是

mapper。registerModule(从新JavaTimeModule (); <artifactId>jack -datatyp -jsr310</artifactId>的maven dependency

代码:

import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import org.testng.Assert;
import org.testng.annotations.Test;

import java.io.IOException;
import java.io.Serializable;
import java.time.Instant;

class Mumu implements Serializable {
    private Instant from;
    private String text;

    Mumu(Instant from, String text) {
        this.from = from;
        this.text = text;
    }

    public Mumu() {
    }

    public Instant getFrom() {
        return from;
    }

    public String getText() {
        return text;
    }

    @Override
    public String toString() {
        return "Mumu{" +
                "from=" + from +
                ", text='" + text + '\'' +
                '}';
    }
}
public class Scratch {


    @Test
    public void JacksonInstant() throws IOException {
        ObjectMapper mapper = new ObjectMapper();
        mapper.registerModule(new JavaTimeModule());

        Mumu before = new Mumu(Instant.now(), "before");
        String jsonInString = mapper.writeValueAsString(before);


        System.out.println("-- BEFORE --");
        System.out.println(before);
        System.out.println(jsonInString);

        Mumu after = mapper.readValue(jsonInString, Mumu.class);
        System.out.println("-- AFTER --");
        System.out.println(after);

        Assert.assertEquals(after.toString(), before.toString());
    }

}

如果你因为任何原因不能使用jackson-modules-java8，你可以(反)序列化即时字段，只要使用@JsonIgnore和@JsonGetter和@JsonSetter:

public class MyBean {

    private Instant time = Instant.now();

    @JsonIgnore
    public Instant getTime() {
        return this.time;
    }

    public void setTime(Instant time) {
        this.time = time;
    }

    @JsonGetter
    private long getEpochTime() {
        return this.time.toEpochMilli();
    }

    @JsonSetter
    private void setEpochTime(long time) {
        this.time = Instant.ofEpochMilli(time);
    }
}

例子:

@Test
public void testJsonTime() throws Exception {
    String json = new ObjectMapper().writeValueAsString(new MyBean());
    System.out.println(json);
    MyBean myBean = new ObjectMapper().readValue(json, MyBean.class);
    System.out.println(myBean.getTime());
}

收益率

{"epochTime":1506432517242}
2017-09-26T13:28:37.242Z

如果您因为GraphQL Java工具而遇到此问题，并试图从日期字符串编组Java Instant，则需要设置SchemaParser以使用具有特定配置的ObjectMapper:

在GraphQLSchemaBuilder类中，注入ObjectMapper并添加以下模块:

        ObjectMapper objectMapper = 
    new ObjectMapper().registerModule(new JavaTimeModule())
            .configure(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS, false);

并将其添加到选项中:

final SchemaParserOptions options = SchemaParserOptions.newOptions()
            .objectMapperProvider(fieldDefinition -> objectMapper)
            .typeDefinitionFactory(new YourTypeDefinitionFactory())
            .build();

参见https://github.com/graphql-java-kickstart/graphql-spring-boot/issues/32

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

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;
    }
}

这里不需要使用自定义序列化器/反序列化器。使用jackson-modules-java8的datetime模块:

数据类型模块，使Jackson识别Java 8日期和时间API数据类型(JSR-310)。

这个模块增加了对很多类的支持:

持续时间 即时 LocalDateTime LocalDate 本地时间 MonthDay OffsetDateTime OffsetTime 期 一年 YearMonth ZonedDateTime ZoneId ZoneOffset