URLurl=newURL("http://example.com/data.json");HttpURLConnectionconnection=(HttpURLConnection)url.openConnection();connection.setRequestMethod("GET");intresponseCode=connection.getResponseCode();if(responseCode==
{"id":1,// 14 bytes"name":"John Doe",// 20 bytes"email":"johndoe@example.com",// 31 bytes"age":30,// 9 bytes"isSubscribed":true,// 13 bytes"orders":[// 11 bytes{// 2 bytes"orderId":"A123",// 18 bytes"totalAmount":100.50// 20 bytes},// 1 byte{// 2 bytes"orderId...
{"id":1,// 14 bytes"name":"John Doe",// 20 bytes"email":"johndoe@example.com",// 31 bytes"age":30,// 9 bytes"isSubscribed":true,// 13 bytes"orders": [// 11 bytes{// 2 bytes"orderId":"A123",// 18 bytes"totalAmount":100.50// 20 bytes},// 1 byte{// 2 bytes"order...
The major complexity comes when we need to write the logic to parse the data and sometimes it can get complex. Since we are reading the same file as JsonReader, the output is same as EmployeeJsonReader program. Java JsonGenerator Example package com.journaldev.json; import java.io.FileOutput...
## simple example provided by the author res = strict_output(system_prompt = 'You are a classifier', user_prompt = 'It is a beautiful day', output_format = {"Sentiment": "Type of Sentiment", "Tense": "Type of Tense"}) print(res) ...
cuDF JSON 读取器还与嵌套的 JSON 对象和数组兼容,这些对象和数组大致映射到结构和列表data types in cuDF。 以下示例演示了用于生成列表和结构列以及数据类型为列表和结构的任意组合的列的输入和输出。 # example with columns types: # list<int> and struct<k:string> ...
1publicclassAccount2{3publicstringEmail {get;set; }4publicboolActive {get;set; }5publicDateTime CreatedDate {get;set; }6publicIList<string> Roles {get;set; }7}89Account account =newAccount10{11Email ="james@example.com",12Active =true,13CreatedDate =newDateTime(2013,1,20,0,0,0, DateTi...
"email": "johndoe@example.com", // 31 bytes "age": 30, // 9 bytes "isSubscribed": true, // 13 bytes "orders": [ // 11 bytes { // 2 bytes "orderId": "A123", // 18 bytes "totalAmount": 100.50 // 20 bytes }, // 1 byte ...
Learn how to map data from JSON keys into properties on your custom types, regardless of their names. For example, this playground shows how to map the"product_name"key in the JSON below to thenameproperty onGroceryProduct: {"product_name":"Banana","product_cost":200,"description":"A ...
Above json-simple example produces following output. Name = Pankaj Kumar Age = 32 City = New York City = Bangalore City = San Francisco That’s all for a quick roundup of json-simple. However if you want to work with complex JSON data, you should useJacksonorGson. You can also giveJSR...