日常生活中常见的JSON字符串处理，本篇将使用复杂的JSON字符串对JsonObject 和JsonArray用法进行梳理和讲解。
我们有一个复杂的 JSON 数据，如下所示
在看详细讲解之前，建议您先将下面的json字符串结构先在json视图解析好好看一下，将对您的理解更轻松，达到事半功倍的效果。
{
"_index": "t_spider_gat_log_20230622",
"_type": "_doc",
"_id": "YyUp4ogBrZfsTXIOIzYJ",
"_version": 1,
"_score": null,
"_source": {
"msg": "success",
"code": 0,
"responseTime": "2023-06-22T08:12:06.791Z",
"channel": "",
"responseJSON": "{\"code\":0,\"createTime\":\"\",\"itineraries\":[{\"prices\":[{\"bookingCode\":\"T\",\"currency\":\"NOK\",\"fareFamilyType\":\"LowFare\",\"paxType\":\"ADT\",\"price\":2110.0,\"seatCount\":9,\"tax\":482.0},{\"bookingCode\":\"T\",\"currency\":\"NOK\",\"fareFamilyType\":\"LowFare+\",\"paxType\":\"ADT\",\"price\":2560.0,\"seatCount\":9,\"tax\":482.0},{\"bookingCode\":\"A\",\"currency\":\"NOK\",\"fareFamilyType\":\"Flex\",\"paxType\":\"ADT\",\"price\":5160.0,\"seatCount\":9,\"tax\":482.0}],\"segments\":[{\"airline\":\"DY\",\"arrAirport\":\"BGO\",\"arrTerminal\":\"\",\"arrTime\":\"202310011245\",\"codeShare\":false,\"direction\":1,\"dptAirport\":\"LGW\",\"dptTerminal\":\"\",\"dptTime\":\"202310010950\",\"duration\":115,\"equipment\":\"73H\",\"flightNo\":\"DY1317\",\"go\":true,\"operatingAirline\":\"\",\"operatingFlightNo\":\"\",\"return\":false,\"stopCities\":\"\"},{\"airline\":\"DY\",\"arrAirport\":\"BGY\",\"arrTerminal\":\"\",\"arrTime\":\"202310012035\",\"codeShare\":false,\"direction\":1,\"dptAirport\":\"BGO\",\"dptTerminal\":\"\",\"dptTime\":\"202310011805\",\"duration\":150,\"equipment\":\"73H\",\"flightNo\":\"DY1848\",\"go\":true,\"operatingAirline\":\"\",\"operatingFlightNo\":\"\",\"return\":false,\"stopCities\":\"\"}]}],\"msg\":\"success\"}",
"source": "SER",
"reqId": "GAT_SER_f6ebd7b8771647f393fcdc4e0fd77ced",
"vendorCode": "ADY",
"requestJSON": "{\"application\":\"API\",\"channel\":\"\",\"condition\":{\"adtCount\":2,\"arrAirports\":[\"BGY\",\"LIN\",\"MXP\",\"PMF\"],\"arrCity\":\"MIL\",\"chdCount\":0,\"dptAirports\":[\"LCY\",\"LGW\",\"LHR\",\"LTN\",\"SEN\",\"STN\"],\"dptCity\":\"LON\",\"dptDate\":\"2023-10-01\",\"infCount\":0,\"rtnDate\":\"\",\"singleTrip\":true,\"tripType\":1},\"realTime\":false,\"region\":\"SG\",\"requestId\":\"GAT_SER_f6ebd7b8771647f393fcdc4e0fd77ced\",\"requestTime\":1687421526160,\"scriptDirectory\":\"ady\",\"source\":\"SER\",\"useProxy\":true,\"vendorCode\":\"ADY\"}",
"requestTime": "2023-06-22T08:12:06.160Z",
"proxy": null,
"requestTimeEnd": null,
"application": "API",
"subOrderNumber": null,
"action": "GAT",
"requestTimeStart": null,
"airline": null,
"region": "SG",
"status": "COMPLETE"
},
"fields": {
"requestTime": [
"2023-06-22T08:12:06.160Z"
],
"responseTime": [
"2023-06-22T08:12:06.791Z"
]
},
"highlight": {
"responseJSON": [
"{\"code\":0,\"createTime\":\"\",\"itineraries\":[{\"prices\":[{\"bookingCode\":\"T\",\"currency\":\"NOK\",\"fareFamilyType\":\"LowFare\",\"paxType\":\"ADT\",\"@kibana-highlighted-field@price@/kibana-highlighted-field@\":2110.0,\"seatCount\":9,\"tax\":482.0},{\"bookingCode\":\"T\",\"currency\":\"NOK\",\"fareFamilyType\":\"LowFare+\",\"paxType\":\"ADT\",\"@kibana-highlighted-field@price@/kibana-highlighted-field@\":2560.0,\"seatCount\":9,\"tax\":482.0},{\"bookingCode\":\"A\",\"currency\":\"NOK\",\"fareFamilyType\":\"Flex\",\"paxType\":\"ADT\",\"@kibana-highlighted-field@price@/kibana-highlighted-field@\":5160.0,\"seatCount\":9,\"tax\":482.0}],\"segments\":[{\"airline\":\"DY\",\"arrAirport\":\"BGO\",\"arrTerminal\":\"\",\"arrTime\":\"202310011245\",\"codeShare\":false,\"direction\":1,\"dptAirport\":\"LGW\",\"dptTerminal\":\"\",\"dptTime\":\"202310010950\",\"duration\":115,\"equipment\":\"73H\",\"flightNo\":\"DY1317\",\"go\":true,\"operatingAirline\":\"\",\"operatingFlightNo\":\"\",\"return\":false,\"stopCities\":\"\"},{\"airline\":\"DY\",\"arrAirport\":\"BGY\",\"arrTerminal\":\"\",\"arrTime\":\"202310012035\",\"codeShare\":false,\"direction\":1,\"dptAirport\":\"BGO\",\"dptTerminal\":\"\",\"dptTime\":\"202310011805\",\"duration\":150,\"equipment\":\"73H\",\"flightNo\":\"DY1848\",\"go\":true,\"operatingAirline\":\"\",\"operatingFlightNo\":\"\",\"return\":false,\"stopCities\":\"\"}]}],\"msg\":\"success\"}"
]
},
"sort": [
1687421526160
]
}
为了解析这个 JSON 数据，我们首先将其转化为 JSONObject，然后在需要的地方获取嵌套的 JSONObject 或 JSONArray。
转化为 JSONObject
import org.json.JSONObject;
import org.json.JSONArray;
// 假设 jsonString 是您提供的 JSON 字符串
// 将字符串转化为 JSONObject
JSONObject jsonObj = new JSONObject(jsonString);
解析 _source
为了更好的大家理解，我这里获取最为复杂的一个字段解析 _source来讲解
// 获取 _source 的 JSONObject
JSONObject source = jsonObj.getJSONObject("_source");
// 获取 _source 中的各种值
String msg = source.getString("msg");
int code = source.getInt("code");
String responseTime = source.getString("responseTime");
String channel = source.getString("channel");
解析 responseJSON
// 获取 _source 中的 responseJSON 并转化为另一个 JSONObject
String responseJSONString = source.getString("responseJSON");
JSONObject responseJSON = new JSONObject(responseJSONString);
解析 itineraries
// 从 responseJSON 中获取 itineraries，它是一个 JSONArray
JSONArray itineraries = responseJSON.getJSONArray("itineraries");
// 遍历每一个 itinerary
for (int i = 0; i < itineraries.length(); i++) {
// 获取每一个 itinerary，它是一个 JSONObject
JSONObject itinerary = itineraries.getJSONObject(i);
解析 prices
// 从 itinerary 中获取 prices，它是一个 JSONArray
JSONArray prices = itinerary.getJSONArray("prices");
// 遍历每一个 price
for (int j = 0; j < prices.length(); j++) {
// 获取每一个 price，它是一个 JSONObject
JSONObject price = prices.getJSONObject(j);
// 从 price 中获取各种值
String bookingCode = price.getString("bookingCode");
String currency = price.getString("currency");
String fareFamilyType = price.getString("fareFamilyType");
String paxType = price.getString("paxType");
double priceValue = price.getDouble("price");
int seatCount = price.getInt("seatCount");
double tax = price.getDouble("tax");
}
注意：此代码未处理可能的异常。在实际使用中，您可能需要包装这些调用以处理可能出现的异常，例如 JSONException
解析 segments
在每一个 itinerary 中，还有一个 segments 的 JSONArray，我们也可以解析这个数组。
// 从 itinerary 中获取 segments，它是一个 JSONArray
JSONArray segments = itinerary.getJSONArray("segments");
// 遍历每一个 segment
for (int k = 0; k < segments.length(); k++) {
// 获取每一个 segment，它是一个 JSONObject
JSONObject segment = segments.getJSONObject(k);
// 从 segment 中获取各种值
String airline = segment.getString("airline");
String arrAirport = segment.getString("arrAirport");
String arrTerminal = segment.getString("arrTerminal");
String arrTime = segment.getString("arrTime");
boolean codeShare = segment.getBoolean("codeShare");
int direction = segment.getInt("direction");
String dptAirport = segment.getString("dptAirport");
String dptTerminal = segment.getString("dptTerminal");
String dptTime = segment.getString("dptTime");
int duration = segment.getInt("duration");
String equipment = segment.getString("equipment");
String flightNo = segment.getString("flightNo");
boolean go = segment.getBoolean("go");
String operatingAirline = segment.getString("operatingAirline");
String operatingFlightNo = segment.getString("operatingFlightNo");
boolean returnFlag = segment.getBoolean("return");
String stopCities = segment.getString("stopCities");
}
上述代码中，我们获取了 segments 数组，然后遍历了每一个 segment，并从中获取了各种值。这个过程与前面的过程类似，只不过这里涉及到的是 segments 数组，而不是 prices 数组。
总结：
这是我们如何解析复杂的 JSON 数据的过程。请注意，我们使用的是 org.json 库，这是一个非常强大且常用的处理 JSON 的 Java 库。希望这个示例对你有所帮助！