I have simple JSON and I want to reorganize the keys with JOLT transformation: Input JSON looks like this: [ { "Firstname": "John", "LastName": "JohnLastName", "City": "TestCity", "PostCode": "25466", "Street": "85.", "HousNumber": "5", "Phone": "0054565685", "Email": "-" } ] and…
Im converting a JSON file into columns, but this one column I'm not able to read it, it shows null not the value. CREATE OR REPLACE TEMPORARY TABLE SAMPLE_J ( SAMPLE_JSON VARCHAR(100) ); INSERT INTO SAMPLE_J (SAMPLE_JSON) VALUES ('{"ident":["Product:Tires","sender_id:12345","sender_name:John Who","Tire_Condition:New"]}'…
I'm new to React and am using the Fetch API to retrieve data from an external JSON file. I've noticed something about how it works that I don't fully understand. In each tutorial I've read it seems you need to…
My goal is to display random posts for clients visiting a static website. The information of these posts is stored in a json file on the server where all other html, css, js files are stored as well. The task…
I created multiple paragraphs to show in single modal on specific Class from button inside the table. I created class "dugme_${kurs.id}" in json append and that works fine. Every button have their own unique class name. <td><button id="` + kurs.details…
"events": { "a": { "eventName": "a", "eventIdentifier": "abc" }, "b": { "eventName": "b", "eventIdentifier": "xyz" } } I want to split events "a" and "b" into 2 different records using spark sql only and above json should not in array.…
I'm trying to group by below JSON Message: [ { "Id": "1", "name": "xxx", "age": "20" }, { "Id": "1", "name": "yyy", "age": "52" }, { "Id": "5", "name": "zzz", "age": "59" } ] to [ { "1": [ {…
I get a json response from a server that looks like this: {"status": "OK", "names": ["omegaChannel"]} And then I parse it like this: Map<String, dynamic> map = jsonDecode(response.body); The 'names' field of this map is a list of strings, so…
I have a json like this: { "2023-06":7.2, "2023-08":6.7, "2023-07":5, "2022-04":3.5, "2023-05":6.1 } How can I sort it to get it in chronological order? Starting with latest date and ending with the most far in history? I am able to…
I have a JSON file and I need to convert it into tabular form by using only Pyspark. My JSON file :- { "records": [ { "name": "Priya", "last_name": "Munjal", "special_values": [ { "name": "adress", "value": "some adress" }, {…