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项目需求分析与解决方案

当前需求针对一个JSON数据格式的处理，要求对内部结构中出现"null"值进行替换，替换为空间实137020。数据结构为：

{  "TYPE": "FLIGHTLOAD",  "DATA": {    "FLIGHTID": {      "OUTERFLIGHTID": "6A9DF3F551060192E0530B061C20F1C1",      "CARRIER": "MF",      "FLIGHT": "null",      "ORIGIN": "PEK",      "DESTINATION": "XMN",      "SCHEDULEDEPARTURETIME": "20190312160500"    },    "PAYLOAD": [      {        "DEPARTUREAIRPORT": "PEK",        "DESTINATIONAIRPORT": "XMN",        "TRANSITCHILD": "null",        "TRANSITINFANT": "null",        "BAGGAGE": "959",        "BAGGAGECOUNT": "959",        "POST": "0",        "CARGO": "1859",        "TRANSITPOST": "null",        "TRANSITCARGO": "null"      }    ]  }

工具与解决方案

为了实现上述需求，我们开发了一套递归处理方法，该方法能够将JSON数据中的"null"值替换为空。具体实现如下：

public static void mapNullToEmpty(Map
   
     jsonResult) {  for (Map.Entry
    
      entry : jsonResult.entrySet()) {    String key = entry.getKey();    Object obj = entry.getValue();    if (obj instanceof String) {      if ("null".equals(obj)) {        jsonResult.put(key, "");      }    } else if (obj instanceof List) {      List
     
    
   

实施效果

经过处理后的JSON数据结构如下：

{  "TYPE": "FLIGHTLOAD",  "DATA": {    "FLIGHTID": {      "OUTERFLIGHTID": "6A9DF3F551060192E0530B061C20F1C1",      "CARRIER": "MF",      "FLIGHT": "",      "ORIGIN": "PEK",      "DESTINATION": "XMN",      "SCHEDULEDEPARTURETIME": "20190312160500"    },    "PAYLOAD": [      {        "DEPARTUREAIRPORT": "PEK",        "DESTINATIONAIRPORT": "XMN",        "TRANSITCHILD": "",        "TRANSITINFANT": "",        "BAGGAGE": "959",        "BAGGAGECOUNT": "959",        "POST": "0",        "CARGO": "1859",        "TRANSITPOST": "",        "TRANSITCARGO": ""      }    ]  }}

项目总结

该方案通过递归处理JSON数据，实现了将"null"值替换为空的需求。在实际应用中，需要注意以下几点：

这种方法能够灵活适配不同层级的JSON数据，同时确保代码简洁且易于维护。

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