I have entity Restaurant with Lat and Lng coordinates
Next I have repository method
findNear($lat, $lng) {
$qb = ...
->addSelect("ST_Distance_Sphere(
point($request->lat, request->lng),
point(restaurant.lat, restaurant.lng)) as dist")
;
$criteria = Criteria::create()
->setFirstResult($firstResult)
->setMaxResults($request->getPerPage())
;
$qb->addCriteria($criteria);
$doctrinePaginator = new DoctrinePaginator($qb);
return new ApiPlatformPaginator($doctrinePaginator);
}
And finally getting response like this:
{
"0": {
"id": 212,
"lat": 41.394457,
"lng": 2.1695479
},
"dist": "71.45450572744384"
}
But I need smth like this:
{
"id": 212,
"lat": 41.394457,
"lng": 2.1695479,
"dist": "71.45450572744384"
}
Is there any way to do this?
Could you just add those columns to the select to generate something like the following?
{
"0": {
"id": 212,
"lat": 41.394457,
"lng": 2.1695479
},
"id": 212,
"lat": 41.394457,
"lng": 2.1695479,
"dist": "71.45450572744384"
}
Related
I'm trying to deduplicate all objects inside the array results that share the same key id, and merge their path arrays.
JSON input:
[
{
"type": "apple",
"results": [
{
"id": "apple1",
"name": "appleName1",
"path": "/some/path/a"
},
{
"id": "apple1",
"name": "appleName1",
"path": "/some/path/b"
},
{
"id": "apple2",
"name": "appleName2",
"path": "/some/path/c"
}
]
},
{
"type": "orange",
"results": [
{
"id": "orange1",
"name": "orangeName1",
"path": "/some/path/a"
},
{
"id": "orange1",
"name": "orangeName1",
"path": "/some/path/b"
},
{
"id": "orange2",
"name": "orangeName2",
"path": "/some/path/c"
}
]
}
]
Expected output:
[
{
"type": "apple",
"results": [
{
"id": "apple1",
"name": "appleName1",
"path": [
"/some/path/a",
"/some/path/b"
]
},
{
"id": "apple2",
"name": "appleName2",
"path": [
"/some/path/c"
]
}
]
},
{
"type": "orange",
"results": [
{
"id": "orange1",
"name": "orangeName1",
"path": [
"/some/path/a",
"/some/path/b"
]
},
{
"id": "orange2",
"name": "orangeName2",
"path": [
"/some/path/c"
]
}
]
}
]
I've managed to get an approximate solution using:
jq '[{type: .[].type, results: .[].results | group_by(.id) | map({id: .[0].id, name: .[0].name, path: (map(.path))})}]'
But my solution produces two additional elements that aren't supposed to be there.
I know there are some similar questions already answered but I didn't manage to get them to work with this example. Any help is appreciated!
You could group_by the .id field, then for each group take the first item and replace its .path field with a map on the .path fields of all group members:
jq 'map(.results |= (group_by(.id) | map(first + {path: map(.path)})))'
[
{
"type": "apple",
"results": [
{
"id": "apple1",
"name": "appleName1",
"path": [
"/some/path/a",
"/some/path/b"
]
},
{
"id": "apple2",
"name": "appleName2",
"path": [
"/some/path/c"
]
}
]
},
{
"type": "orange",
"results": [
{
"id": "orange1",
"name": "orangeName1",
"path": [
"/some/path/a",
"/some/path/b"
]
},
{
"id": "orange2",
"name": "orangeName2",
"path": [
"/some/path/c"
]
}
]
}
]
Demo
I have this json format I'm making an API using ASP.NET.
{
"0": {
"order_id": 11748,
"complete_date": "2021-04-19 14:48:41",
"shipping_code": "aramex.aramex",
"awbs": [
{
"aramex_id": "1314",
"order_id": "11748",
"awb_number": "46572146154",
"reference_number": "11748",
"date_added": "2021-03-04 03:46:58"
}
],
"payment": {
"method": {
"name": "الدفع عند الاستلام",
"code": "cod"
},
"invoice": [
{
"code": "sub_total",
"value": "120.8700",
"value_string": "120.8700 SAR",
"title": "الاجمالي"
},
{
"code": "shipping",
"value": "0.0000",
"value_string": "0.0000 SAR",
"title": "ارمكس"
},
{
"code": "coupon",
"value": "-13.9000",
"value_string": "-13.9000 SAR",
"title": "قسيمة التخفيض(RMP425)"
},
{
"code": "cashon_delivery_fee",
"value": "5.0000",
"value_string": "5.0000 SAR",
"title": "رسوم الدفع عند الاستلام"
},
{
"code": "tax",
"value": "18.1300",
"value_string": "18.1300 SAR",
"title": " ضريبة القيمة المضافة (15%)"
},
{
"code": "total",
"value": "130.1000",
"value_string": "130.1000 SAR",
"title": "الاجمالي النهائي"
}
]
},
"product": [
{
"id": 69,
"name": "مخلط 4 أو دو بيرفيوم للجنسين - 100 مل",
"sku": "45678643230",
"weight": "0.50000000",
"quantity": 1,
"productDiscount": "",
"images": []
}
]
}
}
How can I reach order_id? I made an object let's say its name is obj1 I tried foreach obj1 and storing into a variable obj1.order_id;
It stored null in the variable. the {"0"} is the numbering of orders starts 0-1-2 etc.
You can deserialize that json to Dictionary<string,dynamic> without creating a new class as following:
var values = JsonConvert.DeserializeObject<Dictionary<string, dynamic>>(json);
var orderId = values["0"]["order_id"].ToString();
This will give you 11748 as a result.
I have a JSON document that looks as follows:
{
"Region": "Main",
"MarketLocations": [
{
"MarketName": "Central",
"MarketId": 1,
"SalesCategories": {
"Produce": [
{
"Type": "Apple",
"Name": "Granny Smith",
"DatePicked": "2016-11-08T14:14:33.712Z",
"ShelfLifeInDays": 24,
"Calories": 45,
"Price": 0.29
}
],
"BakedGoods": [
{
"DateMade": "2016-11-08T14:14:33.712Z",
"Name": "Apple Pie",
"Price": 14.25
}
],
"RestaurantItems": [
{
"Name": "Turkey Sandwich",
"Price": 4.85,
"PreparationTimeInMinutes": 20
}
],
"NonPerishable": [
{
"Name": "Honey Mustard",
"Type": "Condiments"
}
]
}
},
{
"MarketName": "Southern",
"MarketId": 2,
"SalesCategories": {
"Produce": [
{
"Type": "Apple",
"Name": "Granny Smith",
"DatePicked": "2016-11-08T14:14:33.712Z",
"ShelfLifeInDays": 24,
"Calories": 45,
"Price": 0.29
},
{
"Type": "Plums",
"Name": "Red Plums",
"DatePicked": "2016-11-08T14:14:33.712Z",
"ShelfLifeInDays": 12,
"Calories": 21,
"Price": 0.33
},
{
"Type": "Pears",
"Name": "Golden Nature",
"DatePicked": "2016-11-08T14:14:33.712Z",
"ShelfLifeInDays": 20,
"Calories": 40,
"Price": 0.45
}
],
"BakedGoods": [
{
"DateMade": "2016-11-08T14:14:33.712Z",
"Name": "Apple Pie",
"Price": 14.25
}
],
"RestaurantItems": [
{
"Name": "Turkey Sandwich",
"Price": 4.85,
"PreparationTimeInMinutes": 20
}
],
"NonPerishable": [
{
"Name": "Honey Mustard",
"Type": "Condiments"
}
]
}
},
{
"MarketName": "Western",
"MarketId": 3,
"SalesCategories": {
"Produce": [
{
"Type": "Plums",
"Name": "Red Plums",
"DatePicked": "2016-11-08T14:14:33.712Z",
"ShelfLifeInDays": 12,
"Calories": 21,
"Price": 0.33
},
{
"Type": "Pears",
"Name": "Golden Nature",
"DatePicked": "2016-11-08T14:14:33.712Z",
"ShelfLifeInDays": 20,
"Calories": 40,
"Price": 0.45
}
],
"BakedGoods": [
{
"DateMade": "2016-11-08T14:14:33.712Z",
"Name": "Plum Pie",
"Price": 18.25
}
],
"RestaurantItems": [
{
"Name": "Ham Sandwich",
"Price": 4.85,
"PreparationTimeInMinutes": 20
},
{
"Name": "Chicken Soup",
"Price": 2.25,
"PreparationTimeInMinutes": 5
}
],
"NonPerishable": [
{
"Name": "Mayo",
"Type": "Condiments"
},
{
"Name": "Syrup",
"Type": "Condiments"
},
{
"Name": "Ginger",
"Type": "Spices"
}
]
}
}
]
}
I have the following U-SQL, that processes this JSON file, running inside Visual Studio:
DECLARE #in string=#"/JsonDoc2.json";
DECLARE #out string=#"Output/JsonDoc2.csv";
#produce =
EXTRACT Name string,
DatePicked DateTime,
ShelfLifeInDays int,
Calories int,
Price decimal,
MarketId string,
MarketName string
FROM #in
USING new MultiLevelJsonExtractor("MarketLocations[*].SalesCategories.Produce[*]",
false,
"Name",
"DatePicked",
"ShelfLifeInDays",
"Calories",
"Price",
"MarketId",
"MarketName");
OUTPUT #produce
TO #out
USING Outputters.Csv(outputHeader : true);
This executes without error. The problem is that I am specifically specifying what sales category I want ('produce'). I'd like to change this query so that that all sales categories are included (produce, baked goods etc.) with the category name included. I've not been able to figure out a way to do this.
The JsonType method of the NewtonSoft JsonFunctions class, returns a MAP value which is a key-value pair. You can then reference the key to get the JSON property / object / array names, at least after a few other manipulations with CROSS APPLY and EXPLODE.
For your example, I got the following to work:
REFERENCE ASSEMBLY [Newtonsoft.Json];
REFERENCE ASSEMBLY [Microsoft.Analytics.Samples.Formats];
USING Microsoft.Analytics.Samples.Formats.Json;
DECLARE #input string = #"/input/myinputfile.json";
DECLARE #output string = #"output/output.csv";
#json =
EXTRACT Region string,
MarketName string,
SalesCategories string // get the SalesCategories as JSON
FROM #input
USING new MultiLevelJsonExtractor("MarketLocations[*].SalesCategories",
true,
"Region",
"MarketName",
"SalesCategories"
);
// Convert the json string to tuple/MAP
#working =
SELECT Region,
MarketName,
JsonFunctions.JsonTuple(SalesCategories) AS x
FROM #json;
// Explode the tuple as key-value pair;
#working =
SELECT Region,
MarketName,
key,
value
FROM #working
CROSS APPLY
EXPLODE(x) AS y(key, value);
// Explode the value which is JSON
#working =
SELECT Region,
MarketName,
key,
JsonFunctions.JsonTuple(y) AS z
FROM #working
CROSS APPLY
EXPLODE(JsonFunctions.JsonTuple(value).Values) AS x(y);
// Prep the result, naming the items you want
#result =
SELECT Region,
MarketName,
key,
z["Type"] AS Type,
z["Name"] AS Name,
z["DatePicked"] AS DatePicked,
z["ShelfLifeInDays"] AS ShelfLifeInDays,
z["Calories"] AS Calories,
z["Price"] AS Price,
z["DateMade"] AS DateMade,
z["PreparationTimeInMinutes"] AS PreparationTimeInMinutes
FROM #working;
OUTPUT #result
TO #output
USING Outputters.Csv(quoting:false);
My results:
It feels like it could be simplified, but see how you get on. The samples for shredding JSON are in short supply but try here and here.
I have the following JSON:
{
"code": 201,
"data": {
"type": "Agent",
"id": {
"#type": "Client",
"#id": "88",
"title": "Ing.",
"titleAfter": null,
"name": "Ján",
"surname": "Kašperan",
"idNumber": "8706229411",
"dateOfBirth": null,
"idCardNumber": "OP12345",
"idCardExpirationDate": null,
"idCardType": {
"#type": "IdCardType",
"#id": 1,
"name": "id_card_type.id_card",
"shortName": "OP"
},
"type": 1
}
}
}
I would like to write a JSON path expression so that I want to get the value of "#id": "88",.
My JSON path do not work: $.data.id.#id
Since # is not allowed, access it by the string property name. More information about property accessors can be found on MDN
var json = {
"code": 201,
"data": {
"type": "Agent",
"id": {
"#type": "Client",
"#id": "88",
"title": "Ing.",
"titleAfter": null,
"name": "Ján",
"surname": "Kašperan",
"idNumber": "8706229411",
"dateOfBirth": null,
"idCardNumber": "OP12345",
"idCardExpirationDate": null,
"idCardType": {
"#type": "IdCardType",
"#id": 1,
"name": "id_card_type.id_card",
"shortName": "OP"
},
"type": 1
}
}
}
console.log(json.data.id["#id"])
I want to work on GeoJson data having below mentioned format;
{ "id": 1,
"geometry":
{ "type": "Point",
"coordinates": [
-3.706,
40.3],
"properties": {"appuserid": "5b46-7d3c-48a6-9c08-cc894",
"eventtype": "location",
"devicedate": "2016-06-08T07:25:21",
"date": "2016-06-08T07:25:06.507",
"location": {
"building": "2",
"floor": "0",
"elevation": ""
}}}
The problem is i want to use a "Where" clause to "appuserid" and select the selected records for processing. I dont know how to do it ? I have already saved data from a Mongodb in a dataframe.
Right now i am trying to do it as follow;
library(sqldf)
sqldf("SELECT * FROM d WHERE d$properties$appuserid = '0000-0000-0000-0000'")
But it gives an error.
Error: Only lists of raw vectors are currently supported
code is below;
library(jsonlite);
con <- mongo(collection = "geodata", db = "MongoDb", url = "mongodb://192.168.26.18:27017", verbose = FALSE, options = ssl_options());
d <- con$find();
library(jqr)
jq(d, '.features[] | select(d$properties$appuserid == "5b46-7d3c-48a6-9c08-cc894")')
Error : Error in jq.default(d, ".features[] | select(d$properties$appuserid == \"5b46-7d3c-48a6-9c08-cc894\")") :
jq method not implemented for data.frame.
jqr is one option, an R client for jq https://stedolan.github.io/jq/
x <- '{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {
"population": 200
},
"geometry": {
"type": "Point",
"coordinates": [
10.724029,
59.926807
],
"properties": {
"appuserid": "5b46-7d3c-48a6-9c08-cc894"
}
}
},
{
"type": "Feature",
"properties": {
"population": 600
},
"geometry": {
"type": "Point",
"coordinates": [
10.715789,
59.904778
],
"properties": {
"appuserid": "c7e866a7-e32d-4dc2-adfd-c2ca065b25ce"
}
}
}
]
}'
library(jqr)
jq(x, '.features[] | select(.geometry.properties.appuserid == "5b46-7d3c-48a6-9c08-cc894")')
returns
{
"type": "Feature",
"properties": {
"population": 200
},
"geometry": {
"type": "Point",
"coordinates": [
10.724029,
59.926807
],
"properties": {
"appuserid": "5b46-7d3c-48a6-9c08-cc894"
}
}
}