So I have a json document structured like this:
{
"_id": "xxx/room/BACK/reservation",
"_rev": "9-096ac8d55a8fc0400111afdbcb71ff13",
"reservationList": [
{
"contactPerson": {
"_id": "xxx/hutomo",
"fullName": "Hutomo",
"email": "hutomo#xxx.com"
},
"start": "2015-12-29T12:00:00.000Z",
"end": "2015-12-29T13:00:00.000Z",
"title": "yuu",
"workstationName": "16JT02",
"id": 0,
"reserveDate": "2015-12-18T12:00:00.000Z"
},
{
"contactPerson": {
"_id": "xxx/hutomo",
"fullName": "Hutomo",
"email": "hutomo#xxx.com"
},
"start": "2015-12-29T12:00:00.000Z",
"end": "2015-12-29T13:00:00.000Z",
"title": "ajdjdn",
"workstationName": "16JT10",
"id": 1,
"reserveDate": "2015-12-18T12:00:00.000Z"
},
{
"contactPerson": {
"_id": "xxx/hutomo",
"fullName": "Hutomo",
"email": "hutomo#xxx.com"
},
"start": "2015-12-28T18:00:00.000Z",
"end": "2015-12-28T20:00:00.000Z",
"title": "gg",
"workstationName": "16JT02",
"id": 2,
"reserveDate": "2015-12-18T12:00:00.000Z"
},
{
"contactPerson": {
"_id": "xxx/hutomo",
"fullName": "Hutomo",
"email": "hutomo#xxx.com"
},
"start": "2015-12-28T22:00:00.000Z",
"end": "2015-12-28T23:00:00.000Z",
"title": "gg",
"workstationName": "16JT04",
"id": 3,
"reserveDate": "2015-12-18T12:00:00.000Z"
}
]
}
Then I made a search index using this function:
function (doc) {
index("id", doc._id, {"index":true});
for (var i = 0; i<doc.reservationList.length;i++)
{
index("workstationName", doc.reservationList[i].workstationName, {"store":true,"index":true});
index("contactPerson._id", doc.reservationList[i].contactPerson._id, {"store": true, "index":false});
index("contactPerson.fullName", doc.reservationList[i].contactPerson.fullName, {"store": true, "index":false});
index("contactPerson.email", doc.reservationList[i].contactPerson.email, {"store": true, "index":false});
if(doc.reservationList[i].contactPerson.mobilePhone)
index("contactPerson.mobilePhone", doc.reservationList[i].contactPerson.mobilePhone, {"store": true, "index":false});
index("reservationID", doc.reservationList[i].id,{"store": true,"index":false});
index("start",doc.reservationList[i].start,{"store": true,"index":false});
index("end",doc.reservationList[i].end,{"store": true,"index":false});
index("title",doc.reservationList[i].title,{"store": true,"index":false});
}
}
Running lucene query with this
id:xxx* AND workstationName:16JT02
then it returns
{
"id": "xxx/room/BACK/reservation",
"order": [
1.0196553468704224,
0
],
"fields": {
"contactPerson._id": [
"xxx/hutomo",
"xxx/hutomo",
"xxx/hutomo",
"xxx/hutomo"
],
"workstationName": [
"16JT04",
"16JT02",
"16JT10",
"16JT02"
],
"reservationID": [
3,
2,
1,
0
],
"end": [
"2015-12-28T23:00:00.000Z",
"2015-12-28T20:00:00.000Z",
"2015-12-29T13:00:00.000Z",
"2015-12-29T13:00:00.000Z"
],
"title": [
"gg",
"gg",
"ajdjdn",
"yuu"
],
"contactPerson.email": [
"hutomo#xxx.com",
"hutomo#xxx.com",
"hutomo#xxx.com",
"hutomo#xxx.com"
],
"start": [
"2015-12-28T22:00:00.000Z",
"2015-12-28T18:00:00.000Z",
"2015-12-29T12:00:00.000Z",
"2015-12-29T12:00:00.000Z"
],
"contactPerson.fullName": [
"Hutomo",
"Hutomo",
"Hutomo",
"Hutomo"
]
}
}
As we can see, the result contains workstationName 16JT04 and 16JT10
what did i do wrong? and how to fix this? Thanks a lot =D
i believe these may answer your question:
https://stackoverflow.com/a/16336255
https://stackoverflow.com/a/16466134
basically, you could (a) separate reservationList content into their own document or (b) create a view for workstationName (or whatever fields desired):
function(doc) {
if(doc.reservationList) {
doc.reservationList.forEach(function(reservationList) {
emit(reservationList.workstationName,reservationList);
});
}
}
using the view, you can get results where workstationName (i.e., key) is "16JT02" with:
https://[username].cloudant.com/[db_name]/_design/[designdoc_name]/_view/[view_name]?key="16JT02"
The result looks right . Query based on Search Index is returning the matching document details. If you add include_docs:true to your query , you can see this clearly.
It seems your requirement is not matching with what Search Index_query can offer. As others pointed out already, try a view.
Related
I created my products with the API and all is ok. But we have some products with variants. These looking good in the backend, but in the frontend shopware doesn't display the product. Where is my error in the payload?
Thank you for helping me!
Here is my code:
{
"write-product":
{
"entity": "product",
"action": "upsert",
"payload": [
{
"id": "17cf3bac8966cc4de52aa557f59e5fd3",
"active": true,
"deliveryTimeId": "1e04777cb17d4396b424129b2d8e3a79",
"description": "Produktbeschreibung",
"ean": null,
"featureSetId": null,
"manufacturerId": null,
"manufacturerNumber": null,
"minPurchase": 1,
"name": "Produktname",
"productNumber": "Nummer",
"releaseDate": "2022-09-28T14:12:18.03",
"stock": 999999,
"taxId": "2842fd17d5a7424795853e7fe7072448",
"price":[
{
"currencyId": "b7d2554b0ce847cd82f3ac9bd1c0dfca",
"net": 13.77,
"gross": 16.39,
"linked": false
}
],
"categories":[
{
"id":"648875017ed54637a41c8c1f972c239f",
"name":"Kategoriename"
}
],
"configuratorSettings": [
{
"productId": "17cf3bac8966cc4de52aa557f59e5fd3",
"optionId": "2ab9df7d2dd94ad38eb53cf7dcf16e56"
},
{
"productId": "17cf3bac8966cc4de52aa557f59e5fd3",
"optionId": "0fcf784970ea448bac1f7db542df9b86"
},
{
"productId": "17cf3bac8966cc4de52aa557f59e5fd3",
"optionId": "0014aa7dc0b644b78cd4b39193f580b4"
}
],
"properties": [
{
"groupId":"ca74efd59b5545f2b4e4f532c217b2ce",
"name": "1,0 m"
},
{
"groupId":"fa7f63d697d44684a5bb74ba5a73d3c7",
"name": "2,0 mm"
},
{
"groupId":"a431bc98fe0149c3bf3ececf629e9740",
"name": "Material"
}
],
"visibilities": [
{
"id": "17cf3bac8966cc4de52aa557f59e5fd3",
"salesChannelId": "840a0403b56240b6a11502af1d46521e",
"visibility": 30
}
],
"coverId": "0f9ab99638bd0ea5e907234bf425819e",
"cover":
{
"mediaId": "0f9ab99638bd0ea5e907234bf425819e"
},
"media": [
{
"media":
{
"id": "0f9ab99638bd0ea5e907234bf425819e",
"position": 0,
"mediaFolderId": "d8f460870e454c0bbca540614ca30029",
"alt": "Bildname",
"description": "Bildbeschreibung",
"title": "Bildtitel"
}
}
],
"children": [
{
"id": "25c8876fb7577cad78df7539737d25ce",
"active": true,
"deliveryTimeId": "1e04777cb17d4396b424129b2d8e3a79",
"description": "Beschreibung Kindelement",
"ean": null,
"featureSetId": null,
"manufacturerId": null,
"manufacturerNumber": null,
"minPurchase": 1,
"name": "Name Kindelement",
"productNumber": "Nummer Kindelement",
"releaseDate": "2022-09-16T14:14:31.41",
"stock": 999999,
"taxId": "2842fd17d5a7424795853e7fe7072448",
"price":[
{
"currencyId": "b7d2554b0ce847cd82f3ac9bd1c0dfca",
"net": 82.63,
"gross": 98.33,
"linked": false
}
],
"categories":[
{
"id":"648875017ed54637a41c8c1f972c239f",
"name":"Kategoriename"
}
],
"configuratorSettings": [
{
"productId": "25c8876fb7577cad78df7539737d25ce",
"optionId": "b224173313cb4f8da03578ef83702751"
},
{
"productId": "25c8876fb7577cad78df7539737d25ce",
"optionId": "0fcf784970ea448bac1f7db542df9b86"
},
{
"productId": "25c8876fb7577cad78df7539737d25ce",
"optionId": "0014aa7dc0b644b78cd4b39193f580b4"
}
],
"properties": [
{
"groupId":"ca74efd59b5545f2b4e4f532c217b2ce",
"name": "6,0 m"
},
{
"groupId":"fa7f63d697d44684a5bb74ba5a73d3c7",
"name": "2,0 mm"
},
{
"groupId":"a431bc98fe0149c3bf3ececf629e9740",
"name": "Material"
}
],
"parentId": "17cf3bac8966cc4de52aa557f59e5fd3",
"options": [
{
"id":"b224173313cb4f8da03578ef83702751",
"group": {
"id":"ca74efd59b5545f2b4e4f532c217b2ce"}
},
{
"id":"0fcf784970ea448bac1f7db542df9b86",
"group": {
"id":"fa7f63d697d44684a5bb74ba5a73d3c7"}
},
{
"id":"0014aa7dc0b644b78cd4b39193f580b4",
"group": {
"id":"a431bc98fe0149c3bf3ececf629e9740"
}
}
],
"visibilities": [
{
"id": "25c8876fb7577cad78df7539737d25ce",
"salesChannelId": "840a0403b56240b6a11502af1d46521e",
"visibility": 30
}
],
"media": [
{
"media": {
"id": "fba6e74294488b554aa88f7dcf6f38f2",
"position": 0,
"mediaFolderId": "d8f460870e454c0bbca540614ca30029",
"alt": "Bildname Kindelement",
"description": "Beschreibung Kindelement",
"title": "Bildtitel Kindelement"
}
}
]
}
]
}
]
}
}
I'm searching in different boards and looking in the API Browser, Using swagger for the api and so on. No result. I need the main-product and the variants be visible in the frontend. At the moment all products with variants are invisible in the frontend.
Double check your Visibility & Categories. It could be them. Also, maybe you need to re-index after creation?
You have way too much stuff going on at the moment for us to help you out.
Try to split your calls into smaller chunks (for us). Also start with less data when creating a product. With every step check the frontend. Can you even create a simple product & display it on the frontend? Yes? Then try create the most basic child that inherits most of the visible parent.
For a child you do not need much data, e.g.
{
"write-product": {
"entity": "product",
"action": "upsert",
"payload": [
{
"parentId": "",
"options": [
{
"id": ""
}
],
"price": [
{
"currencyId": "{{gen_salesChannel_currency_id}}",
"gross": 0.0,
"net": 0.0,
"linked": false
}
]
"productNumber": "",
"stock": 999
}
]
}
}
Another tip is to use the network tab in the admin to see how it creates these relationships. Here is an image of how it looks like:
I want to join more than two collections in MongoDB . Is it possible to join?
I have 2 collections and I want to join them based by their ids
news collection
{
"lang": "ru",
"news": [{
"title": "title",
"content": "desc",
"image": "path",
"categoryId": {
"$oid": "6171499e0ba3d75082823c9a"
},
"createdAt": {
"$date": "2021-10-21T12:30:33.215Z"
},
"_id": {
"$oid": "61715d7990905adefcf314d1"
}
}]
}
and I have got newscategory collection like that
[
{
"lang": "ru",
"categories": [{
"name": "sdfsdsdcsdf",
"_id": {
"$oid": "6171499e0ba3d75082823c9a"
}
}]
},
{
"lang": "en",
"categories": [{
"name": "ooo",
"_id": {
"$oid": "61712980f8ee795c6a569dcb"
}
}, {
"name": "yuy",
"_id": {
"$oid": "61712980f8ee795c6a569dcc"
}
}, {
"name": "rtyrty",
"_id": {
"$oid": "61712980f8ee795c6a569dcd"
}
}]
}
]
Expected Output:
[
{
"_id": "61715d7990905adefcf314d0",
"lang": "ru",
"news": [
{
"title": "sdf",
"content": "sdf",
"image": "asdas",
"categoryId": "6171499e0ba3d75082823c9a",
"caregory": [
{
"name": "sdfsdsdcsdf",
"_id": "6171499e0ba3d75082823c9a"
},
]
"createdAt": "2021-10-21T12:30:33.215Z",
"_id": "61715d7990905adefcf314d1"
}
],
Match is based on both "category_id" and "categories._id".
How can I achieve result like that ?
I'm getting below response from loopback when I filter with below api:
http://localhost:8001/myloopback/productDetails?q=product.productId==apple
I want to exclude the data which doesn't have property "productModel" - how can we achieve this in Loopback rest API. Is there any option to exclude property from the rest API query param? I'm new to Loopback - it would be really grateful if someone can help me to fix this
{
"myData": [{
"data": {
"product": {
"productId": "apple",
"productName": "iPhone",
"productModel": "6s"
},
"statusCode": "active",
"date": "2018-08-07T00:00:00.000Z"
},
"links": [{
"productUrl": "test"
},
{
"productImage": "test"
}
],
"info": {}
},
{
"data": {
"product": {
"productId": "apple",
"productName": "iPhone",
"productModel": "7"
},
"statusCode": "active",
"date": "2018-08-07T00:00:00.000Z"
},
"links": [{
"productUrl": "test"
},
{
"productImage": "test"
}
],
"info": {}
},
{
"data": {
"product": {
"productId": "apple",
"productName": "Macbook"
},
"statusCode": "active",
"date": "2018-08-07T00:00:00.000Z"
},
"links": [{
"productUrl": "test"
},
{
"productImage": "test"
}
],
"info": {}
}
],
"metadata": {
"count": 3,
"offset": 0
}
}
There is no such inbuilt function to do that but you can use multiple Fields filter to achieve that.
Say I have a product collection like this:
{
"_id": "5a74784a8145fa1368905373",
"name": "This is my first product",
"description": "This is the description of my first product",
"category": "34/73/80",
"condition": "New",
"images": [
{
"length": 1000,
"width": 1000,
"src": "products/images/firstproduct_image1.jpg"
},
...
],
"attributes": [
{
"name": "Material",
"value": "Synthetic"
},
...
],
"variation": {
"attributes": [
{
"name": "Color",
"values": ["Black", "White"]
},
{
"name": "Size",
"values": ["S", "M", "L"]
}
]
}
}
and a variation collection like this:
{
"_id": "5a748766f5eef50e10bc98a8",
"name": "color:black,size:s",
"productID": "5a74784a8145fa1368905373",
"condition": "New",
"price": 1000,
"sale": null,
"image": [
{
"length": 1000,
"width": 1000,
"src": "products/images/firstvariation_image1.jpg"
}
],
"attributes": [
{
"name": "Color",
"value": "Black"
},
{
"name": "Size",
"value": "S"
}
]
}
I want to keep the documents separate and for the purpose of easy browsing, searching and faceted search implementation, I want to fetch all the data in a single query but I don't want to do join in my application code.
I know it's achievable using a third collection called summary that might look like this:
{
"_id": "5a74875fa1368905373",
"name": "This is my first product",
"category": "34/73/80",
"condition": "New",
"price": 1000,
"sale": null,
"description": "This is the description of my first product",
"images": [
{
"length": 1000,
"width": 1000,
"src": "products/images/firstproduct_image1.jpg"
},
...
],
"attributes": [
{
"name": "Material",
"value": "Synthetic"
},
...
],
"variations": [
{
"condition": "New",
"price": 1000,
"sale": null,
"image": [
{
"length": 1000,
"width": 1000,
"src": "products/images/firstvariation_image.jpg"
}
],
"attributes": [
"color=black",
"size=s"
]
},
...
]
}
problem is, I don't know how to keep the summary collection in sync with the product and variation collection. I know it can be done using mongo-connector but i'm not sure how to implement it.
please help me, I'm still a beginner programmer.
you don't actually need to maintain a summary collection, its redundant to store product and variation summary in another collection
instead of you can use an aggregate pipeline $lookup to outer join product and variation using productID
aggregate pipeline
db.products.aggregate(
[
{
$lookup : {
from : "variation",
localField : "_id",
foreignField : "productID",
as : "variations"
}
}
]
).pretty()
Here i like to explain my problem.
How can i write a mongoose query to retrieve every subdocument from JSON without passing parent_id.
[
{
"_id": "56a320003fe17cc7363dd0d7",
"name": "Leanna Jacobson",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Riley Case"
},
{
"id": 1,
"name": "Herman Carter"
},
{
"id": 2,
"name": "Pacheco Woodard"
}
]
},
{
"_id": "56a3200001501cfa1ea2641d",
"name": "Juliana Bonner",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Keller Woodward"
},
{
"id": 1,
"name": "Fern Knight"
},
{
"id": 2,
"name": "Cain Richards"
}
]
},
{
"_id": "56a3200006864c78ecb1aeed",
"name": "Gena Stark",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Kate Franco"
},
{
"id": 1,
"name": "Araceli Mcclure"
},
{
"id": 2,
"name": "Molly Nelson"
}
]
},
{
"_id": "56a320006d868155161038b6",
"name": "Eve Gonzalez",
"gender": "female",
"friends": [
{
"id": 0,
"name": "Pam Lang"
},
{
"id": 1,
"name": "Christy Marks"
},
{
"id": 2,
"name": "Donovan Warren"
}
]
},
{
"_id": "56a3200066b94852f5680568",
"name": "Coleman Wooten",
"gender": "male",
"friends": [
{
"id": 0,
"name": "Roberta Olson"
},
{
"id": 1,
"name": "Roseann Reid"
},
{
"id": 2,
"name": "Kerri Russell"
}
]
}
]
Here i need to retrieve every friends details from the subdocument array friends for every parent.
so how can i write query for this?????
Suppose the name of your schema is Person, try this one.
//find all document, only select `friends` field from every document
Person.find({}, 'friends', function (err, friends) {
// the return friends is the [[friends], [friends], ...]
});