Tutorial by Examples: json

Liferay exposes many default and custom services available to other systems via JSON. To explore services on a particular liferay instance, use a given URL - A local instance in this case: http://localhost:8080/api/jsonws/ Select the required service, consume the service with the given syntax ...

var JSONObject = { stringProp: 'stringProp', booleanProp: false, intProp: 8 } var JSONString = JSON.stringify(JSONObject); console.log(JSONString); /* output * {"stringProp":"stringProp","booleanProp":false,"intProp":8} */

Before we get our hands dirty with code, I feel it is necessary to understand how data is stored in firebase. Unlike relational databases, firebase stores data in JSON format. Think of each row in a relational database as a JSON object (which is basically unordered key-value pair). So the column nam...

Live upcase server that returns error when input string is longer than 10 characters. Server: const express = require('express'), jsonParser = require('body-parser').json(), app = express(); // Add headers to work with elm-reactor app.use((req, res, next) => { res.setHeader...

String json = ...; Moshi moshi = new Moshi.Builder().build(); JsonAdapter<BlackjackHand> jsonAdapter = moshi.adapter(BlackjackHand.class); BlackjackHand blackjackHand = jsonAdapter.fromJson(json); System.out.println(blackjackHand);

BlackjackHand blackjackHand = new BlackjackHand( new Card('6', SPADES), Arrays.asList(new Card('4', CLUBS), new Card('A', HEARTS))); Moshi moshi = new Moshi.Builder().build(); JsonAdapter<BlackjackHand> jsonAdapter = moshi.adapter(BlackjackHand.class); String json = jsonAdapte...

using Newtonsoft.Json; var obj = new Person { Name = "Joe Smith", Age = 21 }; var serializedJson = JsonConvert.SerializeObject(obj); This results in this JSON: {"Name":"Joe Smith","Age":21}

var json = "{\"Name\":\"Joe Smith\",\"Age\":21}"; var person = JsonConvert.DeserializeObject<Person>(json); This yields a Person object with Name "Joe Smith" and Age 21.

-- Create a sample JSON with ARRAY create table car_sample(dim_id integer, info varchar(2000)); insert into car_sample values (200, '{"cars": [ { "Manufacturer": "Nissan", "Models": [{"Name":"Sentra", "doors":4}, {"Name&quo...

require 'json' data = {"test" => 123} puts JSON.generate(data)

require 'json' document = "{\"test\":123}" puts JSON.parse(document)

require 'json' data = JSON '{"test":23}' # => {"test"=>23} or require 'json' data = JSON['{"test":23}'] # => {"test"=>23}

require 'json' document = JSON 'test' => 23 # => "{\"test\":23}" or require 'json' document = JSON['test' => 23] # => "{\"test\":23}"

The following updates a User object via a PUT request and prints the status code of the request: package main import ( "bytes" "encoding/json" "fmt" "net/http" ) type User struct { Name string Email string } func main...

JSON is a commonly used data format that is used in web based applications. The JMeter JSON Extractor provides a way to use JSON Path expressions for extracting values from JSON-based responses in JMeter. This post processor must be placed as a child of the HTTP Sampler or for any other sampler that...

Suppose we have the following JSON data: { "TESTS": [ { "YEAR": "2017", "MONTH": "June", "DATE": "28" } ] } import groovy.json...

This converts valid json strings to MySQL JSON type: SELECT CAST('[1,2,3]' as JSON) ; SELECT CAST('{"opening":"Sicilian","variations":["pelikan","dragon","najdorf"]}' as JSON);

JSON_OBJECT creates JSON Objects: SELECT JSON_OBJECT('key1',col1 , 'key2',col2 , 'key3','col3') as myobj; JSON_ARRAY creates JSON Array as well: SELECT JSON_ARRAY(col1,col2,'col3') as myarray; Note: myobj.key3 and myarray[2] are "col3" as fixed string. Also mixed JSON data: S...

Create @myjson variable as JSON type (read more): SET @myjson = CAST('["A","B",{"id":1,"label":"C"}]' as JSON) ; SELECT some members! SELECT JSON_EXTRACT( @myjson , '$[1]' ) , JSON_EXTRACT( @myjson , '$[*].label') , JSON_EXTRACT( @...

Extract path by -> or ->> Operators, while ->> is UNQUOTED value: SELECT myjson_col->>'$[1]' , myjson_col->'$[1]' , myjson_col->>'$[*].label' , myjson_col->>'$[1].*' , myjson_col->>'$[2].*' FROM tablename ; -- visuall: B, "B...