Java Spring Bootアプリケーション。コンソールjsonにデータがあります(ただし、順序が間違っていますか?)。文字列に変換すると取得できますが、JSONObjectを返すことができません。POSTman {"empty":false}を表示しています
私のコントローラーパッケージcom.example.controller;
import Java.util.List;
import javax.servlet.http.HttpServletRequest;
import org.json.JSONException;
import org.json.JSONObject;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import com.example.dao.SeriaDao;
import com.example.model.Seria;
@RestController
public class WebController {
@Autowired
SeriaDao sed;
@GetMapping("/tabelka")
public List<Seria> showTable()
{
return sed.findAll();
}
@GetMapping("/pgTabelka")
public JSONObject pgTable(HttpServletRequest request)
{
int draw = 0;
int start = 0;
int length = 10;
JSONObject json = new JSONObject();
if(request.getParameter("draw")!=null)
draw = Integer.parseInt(request.getParameter("draw"));
if(request.getParameter("start")!=null)
start = Integer.parseInt(request.getParameter("start"));
if(request.getParameter("length")!=null)
length = Integer.parseInt(request.getParameter("length"));
int totalRecords = sed.recordsTotal();
List<Seria> serie = sed.findPart(start, length);
try {
json.put("draw", ++draw);
json.put("recordsTotal", totalRecords);
json.put("recordsFiltered", totalRecords);
json.put("data", serie);
} catch (JSONException e) {
e.printStackTrace();
}
System.out.println(json);
return json;
}
}
追加する必要があるものと、取得しようとしているようにjsonを取得できないのはなぜですか?
PS。 jsonがコンソールに戻りました:
{
"recordsFiltered": 488,
"data": [
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "$ per Week",
"file": "SMU48185800500000011.csv",
"cassid": "1d2e556b-031e-4c6f-aec4-981c4e907324",
"name": "Average Weekly Earnings of All Employees: Total Private in Corpus Christi, TX (MSA)",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-01-09T00:50:01",
"id": 41,
"datefrom": "2006-12-31",
"categoryid": 3,
"frequency": 5
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "Index 2015=100",
"file": "CP0910CYM086NEST.csv",
"cassid": "6df5b8d5-ec39-4860-930f-a8b355cce37a",
"name": "Harmonized Index of Consumer Prices: Audio-Visual, Photographic, and Information Processing Equipment for Cyprus",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-02-16T11:35:04",
"id": 42,
"datefrom": "1995-12-31",
"categoryid": 3,
"frequency": 5
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "$ per Week",
"file": "SMU48185800500000011A.csv",
"cassid": "c3bad2a6-7ad5-4091-846b-f84e9b9f7b50",
"name": "Average Weekly Earnings of All Employees: Total Private in Corpus Christi, TX (MSA)",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-02-16T11:32:01",
"id": 43,
"datefrom": "2006-12-31",
"categoryid": 3,
"frequency": 8
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "Index 2015=100",
"file": "CP0910CZM086NEST.csv",
"cassid": "84483d95-d914-45ab-a87a-8c063bfc6d0f",
"name": "Harmonized Index of Consumer Prices: Audio-Visual, Photographic, and Information Processing Equipment for Czech Republic",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-02-16T11:35:04",
"id": 44,
"datefrom": "1999-11-30",
"categoryid": 3,
"frequency": 5
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "$ per Week",
"file": "SMU41187000500000011SA.csv",
"cassid": "285056e3-94ce-4266-98b4-ddf32602c0c2",
"name": "Average Weekly Earnings of All Employees: Total Private in Corvallis, OR (MSA)",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-01-09T00:50:01",
"id": 45,
"datefrom": "2006-12-31",
"categoryid": 3,
"frequency": 5
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "Index 2015=100",
"file": "CP0910DKM086NEST.csv",
"cassid": "9798eadf-1503-48a5-91e3-cad5852db745",
"name": "Harmonized Index of Consumer Prices: Audio-Visual, Photographic, and Information Processing Equipment for Denmark",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-02-16T11:35:04",
"id": 46,
"datefrom": "1995-12-31",
"categoryid": 3,
"frequency": 5
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "$ per Week",
"file": "SMU41187000500000011.csv",
"cassid": "d4b22376-2f84-404f-a175-c04ad8ced5a5",
"name": "Average Weekly Earnings of All Employees: Total Private in Corvallis, OR (MSA)",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-01-09T00:50:01",
"id": 47,
"datefrom": "2006-12-31",
"categoryid": 3,
"frequency": 5
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "Index 2015=100",
"file": "CP0910EEM086NEST.csv",
"cassid": "72880ba0-722e-46bb-98f4-7d388d217c26",
"name": "Harmonized Index of Consumer Prices: Audio-Visual, Photographic, and Information Processing Equipment for Estonia",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-02-16T11:35:04",
"id": 48,
"datefrom": "1995-12-31",
"categoryid": 3,
"frequency": 5
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "$ per Week",
"file": "SMU41187000500000011A.csv",
"cassid": "03fdf50e-9cd9-483b-aecf-1a0a9e93fa4d",
"name": "Average Weekly Earnings of All Employees: Total Private in Corvallis, OR (MSA)",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-02-16T11:32:01",
"id": 49,
"datefrom": "2006-12-31",
"categoryid": 3,
"frequency": 8
},
{
"feed": "Macroeconomic_And_Major_Markets",
"unit": "Index 2005=100",
"file": "CP0910EZ17M086NEST.csv",
"cassid": "2943c0f2-ad55-4ec4-98d0-70db25deaefc",
"name": "Harmonized Index of Consumer Prices: Audio-Visual, Photographic, and Information Processing Equipment for Euro area (17 countries) (DISCONTINUED)",
"createdate": "2016-10-15T23:38:49",
"changedate": "2017-02-16T11:35:04",
"id": 50,
"datefrom": "1995-12-31",
"categoryid": 3,
"frequency": 5
}
],
"draw": 1,
"recordsTotal": 488
}
JSONObjectを使用する代わりにHashMapを使用する
List<HashMap<String, String>> myList = new ArrayList<HashMap<String, String>>();
HashMap<String, String> map = new HashMap<>();
map.put(key, value);
myList.add(map);
ResultSetがある場合は、このコードをrsを介してループできます。 HashMapに重複キーがある場合、HashMapは重複キーを許可しないため、マルチマップを使用する必要があることに注意してください。
Multimap<String, String> map = ArrayListMultimap.create();
map.put(key1, "value1");
map.put(key1, "value2");
map.put(key2, "value3");
ジェネリック型_ResponseEntity<?>
_をjson.toString()
と組み合わせて使用するとうまくいきます。
_ @ResponseBody
public ResponseEntity<?> create(@RequestBody User user) {
return ResponseEntity.status(HttpStatus.OK).body(json.toString());
}
_