我有一个要求，我需要将输入JSON文件映射到特定的输出JSON模式，但不知道如何继续这样做。我应该继续从JSON转换为Java对象，转换并转换回JSON还是有其他方法来处理它？</ p>
我的输入和输出JSON如下面的示例所示。
输入：
[{
"FirstName": "fgfgf",
"BIRTH_DATE": "1988-06-25",
"frm": "sdsd67ds-4937-fdf",
"GENDER_CODE": "M",
"ID": "4083-9b78-eab99231adc9",
"LastName": "ddgd"
}, {
"FirstName": "gfgf",
"BIRTH_DATE": "1973-03-02",
"frm": "7e3b3dd6-97bc-d918065a642f",
"GENDER_CODE": "O",
"ID": "88e9-0253a00cde91",
"LastName": "gfgsfg"
}, {
"FirstName": " dfsdfsdfgsd",
"BIRTH_DATE": "1950-02-26",
"frm": "9d30-9f23ed77ea1a",
"GENDER_CODE": "M",
"ID": "9b1b-090c179a31ea",
"LastName": "RU dddas"
}, {
"cStage df": "cStage df",
"dds": "cM1y",
"ddsc": "cTgb",
"grgfd": "cK1",
"BId": "a431a5b4-4176-704bed5021f8",
"fsfsdfsd": "7face4c8-ffa870cfbf2d"
}, {
"fvf": "cStage dgd",
"dsdf": "cMff",
"fgsd": "cTgf",
"FirstName": "dfdfsdsf",
"dfs": "c1",
"BId": "a43-9d6d-704bed5021f8",
"BIRTH_DATE": "1999-08-30",
"msdrsdn": "727146-8e930fc1f662",
"GENDER_CODE": "F",
"ID": "6560a6cb-e01757819bcc",
"LastName": "dfsdfsd"
}]
输出：
[{
"SENDER_NAME": "XYZ",
"MARITAL_STATUS": "Unmarried",
"GENDER_CODE": "F",
"PHONE_NO": "576756754",
"LAST_NAME": "ghghg",
"FIRST_NAME": "hgdghd",
"PHONE_CODE": "91",
"GENDER": "F",
"ID": "5765474",
"ADDRESS": "500 fgdfgd,gdf",
"BIRTH_DATE": 1523877361463,
"gdfgg": "-86afad953b34",
"DATE_TIME": 56546456,
"A_BIRTH_DATE": "567546456",
"C_INFO": {
"CLINICAL": {
"T": "1",
"N": "0",
"M": "1",
"STAGE": "Stage I"
},
"PATHOLOGY": {
"T": "1",
"N": "1",
"M": "1",
"STAGE": "Stage I"
}
}
},
{
"SENDER_NAME": "ABC",
"MARITAL_STATUS": "Unmarried",
"GENDER_CODE": "M",
"PHONE_NO": "56456456",
"LAST_NAME": "hghfg",
"FIRST_NAME": "dgdfgd",
"PHONE_CODE": "91",
"GENDER_CODE": "M",
"ID": "6456456456",
"FULL_ADDRESS": "fgdfdfghdf,fdgfdg,fgfd45345",
"BIRTH_DATE": 1523877413779,
"ID": "b84e-4866a656cce8",
"DATE_TIME": 1523877413779,
"BIRTH_DATE": "67567657",
"C_INFO": {
"CLINICAL": {
"T": "0",
"N": "0",
"M": "0",
"STAGE": "Stage 0"
},
"PATHOLOGY": {
"T": "0",
"N": "0",
"M": "0",
"STAGE": "Stage 0"
}
}
},
{
"SENDER_NAME": "RAC",
"MARITAL_STATUS": "Unmarried",
"GENDER_CODE": "F",
"PHONE_NO": "56546546",
"LAST_NAME": "hfghf",
"FIRST_NAME": "gfhfghfg",
"PHONE_CODE": "91",
"GENDER_CODE": "M",
"ID": "676745674",
"_ADDRESS": "fgdfdfg",
"BIRTH_DATE": 6756756756,
"ID": "2e-a0d8-hghfg67ggh",
"DATE_TIME": "Mon March 20 17:52:04 IST 2018",
"BIRTH_DATE": "05212014",
"C_INFO": {
"CLINICAL": {
"T": "0",
"N": "0",
"M": "1",
"STAGE": "Stage IA"
},
"PATHOLOGY": {
"T": "1",
"N": "0",
"M": "1",
"STAGE": "Stage IB"
}
}
}
]
答案 0 :(得分：1)
Jolt。这将允许您进行无POJO转换，只要格式不是非常不同。
答案 1 :(得分：0)
您可以使用Jackson API添加字段或转换JSON而无需创建POJO。它提供了一个名为JsonNode，JsonObject和JsonArray类型的对象形式，可以像我在下面的代码中那样进行转换。我希望这会对你有所帮助。
import java.io.IOException;
import java.util.Iterator;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ObjectNode;
public class JsonTest {
@SuppressWarnings("deprecation")
public static void main(String[] args) throws JsonProcessingException, IOException {
String jsoninpt = "[{\r\n" +
" \"FirstName\": \"fgfgf\",\r\n" +
" \"BIRTH_DATE\": \"1988-06-25\",\r\n" +
" \"frm\": \"sdsd67ds-4937-fdf\",\r\n" +
" \"GENDER_CODE\": \"M\",\r\n" +
" \"ID\": \"4083-9b78-eab99231adc9\",\r\n" +
" \"LastName\": \"ddgd\"\r\n" +
"}, {\r\n" +
" \"FirstName\": \"gfgf\",\r\n" +
" \"BIRTH_DATE\": \"1973-03-02\",\r\n" +
" \"frm\": \"7e3b3dd6-97bc-d918065a642f\",\r\n" +
" \"GENDER_CODE\": \"O\",\r\n" +
" \"ID\": \"88e9-0253a00cde91\",\r\n" +
" \"LastName\": \"gfgsfg\"\r\n" +
"}, {\r\n" +
" \"FirstName\": \" dfsdfsdfgsd\",\r\n" +
" \"BIRTH_DATE\": \"1950-02-26\",\r\n" +
" \"frm\": \"9d30-9f23ed77ea1a\",\r\n" +
" \"GENDER_CODE\": \"M\",\r\n" +
" \"ID\": \"9b1b-090c179a31ea\",\r\n" +
" \"LastName\": \"RU dddas\"\r\n" +
"}, {\r\n" +
" \"cStage df\": \"cStage df\",\r\n" +
" \"dds\": \"cM1y\",\r\n" +
" \"ddsc\": \"cTgb\",\r\n" +
" \"grgfd\": \"cK1\",\r\n" +
" \"BId\": \"a431a5b4-4176-704bed5021f8\",\r\n" +
" \"fsfsdfsd\": \"7face4c8-ffa870cfbf2d\"\r\n" +
"}, {\r\n" +
" \"fvf\": \"cStage dgd\",\r\n" +
" \"dsdf\": \"cMff\",\r\n" +
" \"fgsd\": \"cTgf\",\r\n" +
" \"FirstName\": \"dfdfsdsf\",\r\n" +
" \"dfs\": \"c1\",\r\n" +
" \"BId\": \"a43-9d6d-704bed5021f8\",\r\n" +
" \"BIRTH_DATE\": \"1999-08-30\",\r\n" +
" \"msdrsdn\": \"727146-8e930fc1f662\",\r\n" +
" \"GENDER_CODE\": \"F\",\r\n" +
" \"ID\": \"6560a6cb-e01757819bcc\",\r\n" +
" \"LastName\": \"dfsdfsd\"\r\n" +
"}]";
String field = "{\r\n" +
" \"CLINICAL\": {\r\n" +
" \"T\": \"1\",\r\n" +
" \"N\": \"0\",\r\n" +
" \"M\": \"1\",\r\n" +
" \"STAGE\": \"Stage I\"\r\n" +
" },\r\n" +
" \"PATHOLOGY\": {\r\n" +
" \"T\": \"1\",\r\n" +
" \"N\": \"1\",\r\n" +
" \"M\": \"1\",\r\n" +
" \"STAGE\": \"Stage I\"\r\n" +
" }\r\n" +
" }";
//create JSON Node object from JSON String using ObjectMapper
ObjectMapper mapper = new ObjectMapper();
JsonNode jsonFieldNode = mapper.readTree(field);
JsonNode jsonInputNode = mapper.readTree(jsoninpt);
System.out.println(mapper.writeValueAsString(jsonInputNode));
//Iterate through the JsonNode elements inside the JSON Array
Iterator<JsonNode> jsonInputNodeElements = jsonInputNode.elements();
while(jsonInputNodeElements.hasNext()) {
ObjectNode element = (ObjectNode) jsonInputNodeElements.next();
//Add element to the JSON Object.
element.put("c_info", mapper.writeValueAsString(jsonFieldNode));
}
System.out.println(mapper.writeValueAsString(jsonInputNode));
}
}