如何比较JSON文档并返回与Jackson或Gson的区别？

Question

我正在使用spring-
boot开发后端服务。有一种方案可以比较2个bean（一个是DB对象，另一个是客户请求的对象），然后返回“新元素”，“修改后的元素”，如果没有变化，则返回false。2豆格式如下

"sampleList":{
     "timeStamp":"Thu, 21 Jun 2018 07:57:00 +0000",
     "id":"5b19441ac9e77c000189b991",
     "sampleListTypeId":"type001",
     "friendlyName":"sample",
     "contacts":[
        {
           "id":"5b05329cc9e77c000189b950",
           "priorityOrder":1,
           "name":"sample1",
           "relation":"Friend",
           "sampleInfo":{
              "countryCode":"91",
              "numberType":"MOBILE",
              "numberRegion":"IN"
           }
        },
        {
           "id":"5b05329cc9e77c000189b950",
           "priorityOrder":1,
           "name":"sample2",
           "relation":"Friend",
           "sampleInfo":{
              "countryCode":"91",
              "numberType":"MOBILE",
              "numberRegion":"IN"
           }
        }
     ]
  }

我已经在Java上浏览了有关此方案的bean比较的Internet，但是找不到任何更简单的解决方案，但是找到了一些很酷的JSON解决方案。我可以看到GSON的一些解决方案，但它不会返回包含“新元素”和“变更元素”的客户端对象。有什么方法可以用JSON或JAVA返回更新和修改的元素？您的帮助应该是可观的。对于我来说，即使是提示也将是一个很好的开始。

Answer 1

以Maps 读取JSON文档并进行比较

您可以将JSON文档都读为Map<K, V>。请参阅以下有关Jackson和Gson的示例：

ObjectMapper mapper = new ObjectMapper();
TypeReference<HashMap<String, Object>> type = 
    new TypeReference<HashMap<String, Object>>() {};

Map<String, Object> leftMap = mapper.readValue(leftJson, type);
Map<String, Object> rightMap = mapper.readValue(rightJson, type);



Gson gson = new Gson();
Type type = new TypeToken<Map<String, Object>>(){}.getType();

Map<String, Object> leftMap = gson.fromJson(leftJson, type);
Map<String, Object> rightMap = gson.fromJson(rightJson, type);

然后使用番石榴Maps.difference(Map<K, V>, Map<K, V>)来比较它们。它返回一个MapDifference<K, V>实例：

MapDifference<String, Object> difference = Maps.difference(leftMap, rightMap);

如果您对结果不满意，可以考虑展 平 地图，然后进行比较。它将提供更好的比较结果，尤其是对于嵌套对象和数组。

创建Flat Map进行比较

要平整地图，可以使用：

public final class FlatMapUtil {

    private FlatMapUtil() {
        throw new AssertionError("No instances for you!");
    }

    public static Map<String, Object> flatten(Map<String, Object> map) {
        return map.entrySet().stream()
                .flatMap(FlatMapUtil::flatten)
                .collect(LinkedHashMap::new, (m, e) -> m.put("/" + e.getKey(), e.getValue()), LinkedHashMap::putAll);
    }

    private static Stream<Map.Entry<String, Object>> flatten(Map.Entry<String, Object> entry) {

        if (entry == null) {
            return Stream.empty();
        }

        if (entry.getValue() instanceof Map<?, ?>) {
            return ((Map<?, ?>) entry.getValue()).entrySet().stream()
                    .flatMap(e -> flatten(new AbstractMap.SimpleEntry<>(entry.getKey() + "/" + e.getKey(), e.getValue())));
        }

        if (entry.getValue() instanceof List<?>) {
            List<?> list = (List<?>) entry.getValue();
            return IntStream.range(0, list.size())
                    .mapToObj(i -> new AbstractMap.SimpleEntry<String, Object>(entry.getKey() + "/" + i, list.get(i)))
                    .flatMap(FlatMapUtil::flatten);
        }

        return Stream.of(entry);
    }
}

它对密钥使用RFC 6901中定义的 JSON指针符号
，因此您可以轻松地找到值。

例

考虑以下JSON文档：

{
  "name": {
    "first": "John",
    "last": "Doe"
  },
  "address": null,
  "birthday": "1980-01-01",
  "company": "Acme",
  "occupation": "Software engineer",
  "phones": [
    {
      "number": "000000000",
      "type": "home"
    },
    {
      "number": "999999999",
      "type": "mobile"
    }
  ]
}



{
  "name": {
    "first": "Jane",
    "last": "Doe",
    "nickname": "Jenny"
  },
  "birthday": "1990-01-01",
  "occupation": null,
  "phones": [
    {
      "number": "111111111",
      "type": "mobile"
    }
  ],
  "favorite": true,
  "groups": [
    "close-friends",
    "gym"
  ]
}

和以下代码进行比较并显示差异：

Map<String, Object> leftFlatMap = FlatMapUtil.flatten(leftMap);
Map<String, Object> rightFlatMap = FlatMapUtil.flatten(rightMap);

MapDifference<String, Object> difference = Maps.difference(leftFlatMap, rightFlatMap);

System.out.println("Entries only on the left\n--------------------------");
difference.entriesOnlyOnLeft()
          .forEach((key, value) -> System.out.println(key + ": " + value));

System.out.println("\n\nEntries only on the right\n--------------------------");
difference.entriesOnlyOnRight()
          .forEach((key, value) -> System.out.println(key + ": " + value));

System.out.println("\n\nEntries differing\n--------------------------");
difference.entriesDiffering()
          .forEach((key, value) -> System.out.println(key + ": " + value));

它将产生以下输出：

Entries only on the left
--------------------------
/address: null
/phones/1/number: 999999999
/phones/1/type: mobile
/company: Acme


Entries only on the right
--------------------------
/name/nickname: Jenny
/groups/0: close-friends
/groups/1: gym
/favorite: true


Entries differing
--------------------------
/birthday: (1980-01-01, 1990-01-01)
/occupation: (Software engineer, null)
/name/first: (John, Jane)
/phones/0/number: (000000000, 111111111)
/phones/0/type: (home, mobile)