I am having trouble figuring out how to map this JSON correctly in React Native. Do I need to rewrite this json?
This is the json
"rewards" : {
"0" : {
"entries" : 0,
"image" : "url",
"name" : "PlayStation 4 Pro 1TB Console",
"url" : "",
"price" : 399.99
},
"1" : {
"entries" : 0,
"image" : "url",
"name" : "Xbox One S 500GB",
"url" : "",
"price" : 249.99
},
{...}
Here is what I tried for mapping
renderItems(){
const{rewards} = this.props;
return rewards.map((data, i) => {
return (<Text> {data[i].name} </Text>)
})
}
Yes, you’ll need to rewrite the JSON because map() is expecting rewards to be an array of objects. For example:
{
"rewards": [{
"entries" : 0,
"image" : "url",
"name" : "PlayStation 4 Pro 1TB Console",
"url" : "",
"price" : 399.99
},
{
"entries" : 0,
"image" : "url",
"name" : "Xbox One S 500GB",
"url" : "",
"price" : 249.99
}]
}
You’ll also want to use JSON.parse on the rewards prop if you’re not already. Here is an example of how you might use JSON.parse when rendering the component with the rewards prop:
render() {
const rewardsJSON = '{"rewards":[{"entries":0,"image":"url","name":"PlayStation 4 Pro 1TB Console","url":"","price":399.99},{"entries":0,"image":"url","name":"Xbox One S 500GB","url":"","price":249.99}]}';
return (
<YOUR_COMPONENT
rewards=JSON.parse(rewardsJSON).rewards
/>
);
}
.map() should be called on an array. rewards is not an array here, so a solution would be to convert it to an array first.
Suppose your json is this:
const myJson =
{
"rewards" : {
"0" : {
"entries" : 0,
"image" : "url",
"name" : "PlayStation 4 Pro 1TB Console",
"url" : "",
"price" : 399.99
},
"1" : {
"entries" : 0,
"image" : "url",
"name" : "Xbox One S 500GB",
"url" : "",
"price" : 249.99
}
}
You can dynamically convert it (with any length) to an array:
let index = 0
let dataArr = []
while (myJson.rewards[index]) {
arr.push(myJson.rewards[index])
index++
}
hopping the above code is clear enough...
So now the dataArr contains your data like:
dataArr = [{
"entries" : 0,
"image" : "url",
"name" : "PlayStation 4 Pro 1TB Console",
"url" : "",
"price" : 399.99
},
{
"entries" : 0,
"image" : "url",
"name" : "Xbox One S 500GB",
"url" : "",
"price" : 249.99
}]
And finally it's the time to map it as you want:
return dataArr.map((data, i) => (<Text key={i}> {data.name} </Text>))
Related
Hey guys I'm trying to update a value that is in an array in MongoDB, am trying to use the mongo queries but is not working, am following the next documentation from Mongo doc
this one is the array:
{
"_id" : "605e3d9b9ef219de662113d0",
"distribution" : [
{
"floor" : 1,
"rooms" : [
{
"number" : 301,
"beds" : [
{
"number" : 818,
"status" : "Vacante Sucia"
},
{
"number" : 819,
"status" : "Vacante Sucia"
}
],
"gender" : "M"
},
{
"number" : 302,
"beds" : [
{
"number" : 820,
"status" : "Vacante Sucia"
},
{
"number" : 821,
"status" : "Vacante Sucia"
}
],
"gender" : "M"
},
{
"number" : 303,
"beds" : [
{
"number" : 822,
"status" : "Vacante Sucia"
},
{
"number" : 823,
"status" : "Vacante Sucia"
}
],
"gender" : "M"
}
]
}
],
"name" : "Meteorologia",
"code" : "METEO"
}
this one is the query that is using in mongoDB to update the status from the bed 801, room 301, floor 1:
in the arrayFilters i specified the index 0 to get the first element of the arrays
db.getCollection('establishments_copy').findAndModify({query: { code: "METEO"}, update: { $set: { "distribution.$[i].rooms.$[i].beds.$[i].status": "TEST"}}, arrayFilters: [{"i.rooms": 0, "i.beds": 0, "i.status": 0}]})
they are returning me the collection but without changes, is possible to navigate validating not for the index just with the values.
for example using the next query:
db.getCollection('establishments_copy').findAndModify({query: { code: 'METEO', distribution: { $elemMatch: { floor: 1, 'rooms.number': 301, 'rooms.beds.number': 818}}}, update: { $set: { '...': 'CHANGED'}}})
thanks!
You just need to create separate condition as per sub document's field name,
f for floor field in distribution array
r for number field in rooms array
b for number field in beds array
db.getCollection('establishments_copy').findAndModify({
query: { code: "METEO"},
update: {
$set: {
"distribution.$[f].rooms.$[r].beds.$[b].status": "TEST"
}
},
arrayFilters: [
{ "f.floor": 1 },
{ "r.number": 301 },
{ "b.number": 818 }
]
})
Playground
I am trying to do a transformation from one data structure to another and am using NoSQL Booster as I feel more comfortable using SQL queries than I do using Mongo script, a little lazy but its worked for me thus far.
I have a document which has a an array of line items which represents a sales receipt. The line items are the items sold.
I have used the following SQL query to generate Mongo script to select and then rename values from one document to create another. Where I'm stuck is in selecting from an array some fields and renaming them into a new document within a new array.
mb.runSQLQuery(`
SELECT object_origin,
party_uuid AS company,
connection_uuid AS connection,
object_created AS object_creation_date,
"object_raw_origin_data.register_sales.sale_date" AS transaction_date,
"object_raw_origin_data.register_sales.total_price"
+ "object_raw_origin_data.register_sales.total_tax" AS transaction_gross_value,
"object_raw_origin_data.register_sales.total_price" AS transaction_net_value,
'goods-service-transaction' AS object_class,
'point-of-sale' AS object_origin_category,
'offline' AS object_origin_type,
object_origin AS object_origin,
"object_raw_origin_data.register_sales.invoice_number" AS transaction_reference,
"object_raw_origin_data.register_sales.status" AS transaction_status,
'GBP' AS transaction_currency,
"object_raw_origin_data.register_sales.sale_products.name" AS 'line_items.item_name'
FROM Vend_raw_transactions
`)
The query above works all except the last line which creates an object in the document called line_items but it isn't an array. The source is also an array.
Below is the Mongo script it creates for me:
db.Vend_raw_transactions.aggregate(
[{
"$project": {
"object_origin": "$object_origin",
"company": "$party_uuid",
"connection": "$connection_uuid",
"object_creation_date": "$object_created",
"transaction_date": "$object_raw_origin_data.register_sales.sale_date",
"transaction_gross_value": {
"$add": [
"$object_raw_origin_data.register_sales.total_price",
"$object_raw_origin_data.register_sales.total_tax"
]
},
"transaction_net_value":
"$object_raw_origin_data.register_sales.total_price",
"object_class": "goods-service-transaction",
"object_origin_category": "point-of-sale",
"object_origin_type": "offline",
"transaction_reference":
"$object_raw_origin_data.register_sales.invoice_number",
"transaction_status": "$object_raw_origin_data.register_sales.status",
"transaction_currency": "GBP",
"line_items.item_name":
"$object_raw_origin_data.register_sales.sale_products.name"
}
}])
Does anyone know why the last line isn't working for me?
"line_items.item_name": "$object_raw_origin_data.register_sales.sale_products.name"
I'm pretty sure I'm missing an [*] somewhere. Thanks, Matt
EDITED TO ADD example of Vend Transaction
{
"object_category" : "application",
"object_type" : "register-sales-24-months",
"object_origin" : "vend",
"tenant_uuid" : "00000000-0000-0009-9999-999999999999",
"party_uuid" : "8d519765-05d2-469f-ad35-d7a22fa9df2f",
"subscription_uuid" : "0",
"connection_uuid" : "6ed9bd79-d9c5-4296-a821-7e15b1c69e6c",
"status" : "",
"object_created" : ISODate("2018-03-15T21:40:57.158+0000"),
"object_raw_origin_data" : {
"pagination" : {
"results" : NumberInt(75964),
"page" : NumberInt(1),
"page_size" : NumberInt(200),
"pages" : NumberInt(380)
},
"register_sales" : {
"id" : "776a66f2-993c-b372-11e8-26f9bbe253f4",
"source" : "USER",
"source_id" : "",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"market_id" : "3",
"customer_id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"customer_name" : "",
"customer" : {
"id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"name" : "",
"customer_code" : "WALKIN",
"customer_group_id" : "02d59481-b67d-11e5-f667-b08185e893f8",
"customer_group_name" : "All Customers",
"updated_at" : "2016-01-01 12:16:44",
"deleted_at" : "",
"balance" : "0",
"year_to_date" : "0",
"date_of_birth" : "",
"sex" : "",
"custom_field_1" : "",
"custom_field_2" : "",
"custom_field_3" : "",
"custom_field_4" : "",
"note" : "",
"contact" : {
}
},
"user_id" : "02d59481-b655-11e5-f667-dca974edc4ea",
"user_name" : "Alvaro Velosa",
"sale_date" : "2018-03-13 20:04:57",
"created_at" : "2018-03-13 20:05:08",
"updated_at" : "2018-03-13 20:05:08",
"total_price" : 3.5,
"total_cost" : 2.74,
"total_tax" : NumberInt(0),
"tax_name" : "No Tax",
"note" : "",
"status" : "CLOSED",
"short_code" : "newa6f",
"invoice_number" : "Masonic2107Temple",
"accounts_transaction_id" : "",
"return_for" : "",
"register_sale_products" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9cbf10f10",
"product_id" : "02dcd191-ae55-11e7-f130-9d4f4bcd91b1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"sequence" : "0",
"handle" : "LAGERDRAUGHT300",
"sku" : "10287",
"name" : "LAGER DRAUGHT £3.00",
"quantity" : NumberInt(1),
"price" : 3.5,
"cost" : 2.74,
"price_set" : NumberInt(0),
"discount" : NumberInt(0),
"loyalty_value" : NumberInt(0),
"tax" : NumberInt(0),
"tax_id" : "02d59481-b67d-11e5-f667-b08185ec2871",
"tax_name" : "No Tax",
"tax_rate" : NumberInt(0),
"tax_total" : NumberInt(0),
"price_total" : 3.5,
"display_retail_price_tax_inclusive" : "0",
"status" : "CONFIRMED",
"attributes" : [
{
"name" : "line_note",
"value" : ""
}
]
}
],
"totals" : {
"total_tax" : NumberInt(0),
"total_price" : 3.5,
"total_payment" : 3.5,
"total_to_pay" : NumberInt(0)
},
"register_sale_payments" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9cd75e9aa",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:04:57",
"amount" : NumberInt(10)
},
{
"id" : "776a66f2-993c-b372-11e8-26f9cd7a3096",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:04:57",
"amount" : -6.5
}
]
}
}
}
Use the $map operator to shape the field to an array by mapping the array elements to the item_name key:
"line_items": {
"$map": {
"input": "$object_raw_origin_data.register_sales.register_sale_products",
"as": "product",
"in": { "item_name": "$$product.name" }
}
}
Output
"line_items" : [
{
"item_name" : "LAGER DRAUGHT £3.00"
}
]
I have a query below that extracts a couple of values from a large nested document. It tells me the user id and the first item name for each order.
This works fine, however I want it to only return the record where the first item's name is not null and is not blank. I can't figure out how to add a second query to the $match operator below to achieve this
db.getCollection('Orders').aggregate
([
{ $match : { "Items.1" : { $exists : true }}, ???},
{ $project: {
_id:0,
'UserId': '$User.EntityId',
'ItemName': {$arrayElemAt: ['$Items.Details.ItemName', 0]}
}
}
]);
Edited to show sample document
{
"_id" : "order-666156",
"State" : "ValidationFailed",
"LastUpdated" : {
"DateTime" : ISODate("2017-09-26T08:54:16.241Z"),
"Ticks" : NumberLong(636420128562417375)
},
"SourceOrderId" : "666156",
"User" : {
"EntityId" : NumberLong(34450),
"Name" : "Bill Baker",
"Country" : "United States",
"Region" : "North America",
"CountryISOCode" : "US",
},
"Region" : null,
"Currency" : null,
"Items" : [
{
"ClientOrderId" : "18740113",
"OrigClientOrderId" : "18740113",
"Quantity" : NumberDecimal("7487.0"),
"TransactDateTime" : {
"DateTime" : Date(-62135596800000),
"Ticks" : NumberLong(0)
},
"Text" : null,
"LocateRequired" : false,
"Details" : {
"ItemName" : "Test Item 1",
"ItemCost" : 1495.20
}
},
{
"ClientOrderId" : "18740116",
"OrigClientOrderId" : "18740116",
"Quantity" : NumberDecimal("241.0"),
"TransactDateTime" : {
"DateTime" : Date(-62135596800000),
"Ticks" : NumberLong(0)
},
"Text" : null,
"LocateRequired" : false,
"Details" : {
"ItemName" : "Test Item 2",
"ItemCost" : 2152.64
}
}
]
}
You need to add the two conditions to your existing $match (not null and not blank) to check the Items as:
$match : { "Items.1" : { $exists : true, "$ne": null,"$ne":""}
If you want to check the element Items[0].Details.ItemName you can doing using the operator $and
{ $match : {
$and: [
{"Items.1" : { $exists : true }},
{"Items.Details.ItemName" : { $ne : null}},
{"Items.Details.ItemName" : { $ne : ""}},
]
}},
This question already has answers here:
Retrieve only the queried element in an object array in MongoDB collection
(18 answers)
Closed 8 years ago.
i've got some documents like this:
{
"name" : "xxx",
"address" : " ",
"mail" : "",
"url" : "",
"pos" : {
"lat" : yyy,
"lng" : zzz
},
"rooms" : [
{
"_id" : ObjectId("540ce3f8e4b016292085b387"),
"supplier" : "s1",
"price" : 41000,
"details" : [
{
"price" : 25200,
"key" : "2-1"
},
{
"price" : 15800,
"key" : "2-0"
}
]
},
{
"_id" : ObjectId("540ce3f8e4b016292085b3fd"),
"supplier" : "s2",
"price" : 44900,
"details" : [
{
"price" : 27000,
"key" : "2-1"
},
{
"price" : 17900,
"key" : "2-0"
}
]
},
{
"_id" : ObjectId("540ce3f8e4b016292085b53d"),
"supplier" : "s3",
"price" : 53500,
"details" : [
{
"price" : 32100,
"key" : "2-1"
},
{
"price" : 21400,
"keykey" : "2-0"
}
]
}
]
}
What i need to do is execute a find with some filters AND price range query to fetch just the matching array elements and not all:
This is what i try:
var sort = {};
var query = {name:new RegExp("xx",'i')};
query['$and'] = [{'rooms.price':{$gt:50000}},{'rooms.price':{$lt:100000}}];
var page = 1;
var ppp = 20;
db.collection("myCollection").
find(query).
sort(sort).
skip(page > 0 ? ((page-1)*ppp) : 0).limit(ppp).toArray(function(err, docs) {
res.send(docs);
});
and i retrieve the same document.
What i need is :
{
"name" : "xxx",
"address" : " ",
"mail" : "",
"url" : "",
"pos" : {
"lat" : yyy,
"lng" : zzz
},
"rooms" : [
{
"_id" : ObjectId("540ce3f8e4b016292085b53d"),
"supplier" : "s3",
"price" : 53500,
"details" : [
{
"price" : 32100,
"key" : "2-1"
},
{
"price" : 21400,
"keykey" : "2-0"
}
]
}
]
}
I googled about but i find just aggregate or map/reduce element.
I'd like to avoid it.
Is there a good solution??
Thanks!
If you don't want to use aggregate or map/reduce then you could change your data structure.
Extract rooms to it's own collection and make sure that every element has id reference to the appropriate document from myCollection. This would require at least two query though.
Alternatively, you could filter the content on the application side and not within mongodb.
I have the following schema, blog collection & friendscoll as below
blogpostcollection
{
"_id" : ObjectId("4fff0bf18bf0d19c4f1a5826"),
"author" : "joe",
"text" : "Here is the text...",
"userid" : 0
}
{
"_id" : ObjectId("4fff0bf18bf0d19c4f1a5827"),
"author" : "blake",
"text" : "Here is the text...",
"userid" : 1
}
{
"_id" : ObjectId("4fff0bf18bf0d19c4f1a5828"),
"author" : "joe",
"text" : "Here is the text...",
"userid" : 2
}
myfriendscoll
{
"myid": 999,
"data": [
{
"uid": 1,
"name": "Raul"
},
{
"uid": 3,
"name": "John K"
} ]
}
I want to find all documents in blogpostcollection, where the userid exists as uid, in the myfriendscoll collection.
So in effect, something like..
var user = db.myfriendscoll.findOne({"myid" : 999}, {"data.uid": 1});
db.blogpostcollection.find( {"userid" : {$in : user.data.uid}});
This doesn't work, but is there a way to get it to work?...Thanks!
If you are using development version 2.1 or when you move to 2.2 once it's released you can use the aggregation framework to get the format you want back from the first query:
var ret=db.myfriendscoll.aggregate([
{$match:{"myid" : 999}},
{$project:{_id:0,uid:"$data.uid"}}
]);
var uids=ret.result[0].uid;
db.blogpostcollection.find({userid:{$in:uids}})
You'll need to extract the actual uid values into an array to use with $in. Try this:
var user = db.myfriendscoll.findOne({"myid" : 999}, {"data.uid": 1});
var uids = user.data.map(function(v){ return v.uid });
db.blogpostcollection.find( {"userid" : {$in : uids}});