In my MongoDB database, I have a collection 'produits' with documents like this
{
"_id": {
"$oid": "6048e97b4a5f000096007505"
},
"modeles": [
{
"id": "OppoA3",
"pieces": [
{
"id": "OppoA3avn"
},
{
"id": "OppoA3bat"
}]
]
},
{
"id": "OppoA1",
"pieces": [
{
"id": "OppoA1avn",
},
{
"id": "OppoA1batt",
}
]
}
]
}
How can I delete all modeles.pieces from all my documents.
I managed to delete with a filter on modeles.id but with that code but not on all the collection
db.produits.update(
{marque_id:'OPPO', 'modeles.id':'RENOZ'},
{$set:
{
'modeles.$.pieces': []
}
}
, { multi : true }
)
I would like all documents like this finally
{
"_id": {
"$oid": "6048e97b4a5f000096007505"
},
"modeles": [
{
"id": "OppoA3",
"pieces": []
},
{
"id": "OppoA1",
"pieces": []
}
]
}
Thank you for your help.
I have done a javascript loop like this, but i think it's not best practice
async removePieces(){
var doc
try {
doc = await produitModel.find()
for (var produit of doc) {
for (var modele of produit.modeles) {
const filter = {'marque_id': produit.marque_id, 'modeles.id': modele.id}
const set = {
$set: {
'modeles.$.pieces': []
}
}
await db.collection('produits').updateOne(filter, set)
}
}
console.log('removePieces() ==> Terminé')
} catch(err) {
console.log(err)
}
}
db.produits.update({
modeles: {//This is because your second document will create failure otherwise
$exists: true
}
},
{
$set: {
"modeles.$.pieces": []
}
},
{
multi: true
})
Related
I have a problem with mongoose 5.12.
{
"_id": {
"$oid": "60db70c9956a6c4d0645d447"
},
"articles": [
{
"_id": {
"$oid": "60db8764da322a23e787ca3d"
},
"type": "Déssert",
"name": "dfd",
"description": "",
"price": 0,
"tag": "",
"picture": "noarticle.jpg"
},
],
"editor": 27,
}
My restaurant document contains articles (object array)
And I want to remove an article from it.
I'm using this:
const deletedArticle = await this.restaurantModel.findOneAndUpdate(
{ editor: userId },
{ $pull: { articles: articleId } },
{ multi: true, new: true, useFindAndModify: true },
);
// userId -> 27 and articleId --> "60db8764da322a23e787ca3d"
But nothing changes.
Is this an _id type problem? Or anything else?
(The $push option work)
You did wrong in the line:
{ $pull: { articles: articleId } }
It should be:
{ $pull: { articles: { _id : articleId } } }
Or:
{ $pull: {"articles._id" : articleId } }
I want to make an upsert call to update as well as insert my data in nested array of mongo db.
This is my mongo document.
{
"_id" : "575",
"_class" : "com.spyne.sharing.SpyneShareUserProject",
"spyneSharePhotoList" : [
{
"_id" : "fxLO68XyMR",
"spyneShareUsers" : [
{
"_id" : "chittaranjan#eventila.com",
"selectedByClient" : false
},
{
"_id" : "chittaranjan#gmail.com",
"selectedByClient" : false
}
]
},
{
"_id" : "nVpD0KoQAI",
"spyneShareUsers" : [
{
"_id" : "chittaranjan#eventila.com",
"selectedByClient" : true
}
]
},
{
"_id" : "Pm0B3Q9Igv",
"spyneShareUsers" : [
{
"_id" : "chittaranjan#gmail.com",
"selectedByClient" : true
}
]
}
]
}
Here my requirement is,
lets say i have an ID i.e. 575 (_id)
Then i will have the nested array ID i.e. fxLO68XyMR (spyneSharePhotoList._id)
Then i will have nested email id as ID i.e. chittaranjan#eventila.com (spyneSharePhotoList.spyneShareUsers._id) and selectedByClient (boolean)
Now i want is to check if this ID (spyneSharePhotoList.spyneShareUsers._id) is already present in the desired location i want to update the boolean value i.e. selectedByClient (true / false) according to that email id.
If the id is not present in the array, the it will make a new entry. as
{
"_id" : "chittaranjan#gmail.com",
"selectedByClient" : false
}
in spyneShareUsers list.
Please help me to do this task. Thank you
Most likely this is not the smartest solution, but it should work:
shareUserProject = {
id: "575",
PhotoListId: "fxLO68XyMR",
ShareUserId: "chittaranjan_new#eventila.com"
}
db.collection.aggregate([
{ $match: { _id: shareUserProject.id } },
{
$facet: {
root: [{ $match: {} }],
update: [
{ $unwind: "$spyneSharePhotoList" },
{ $match: { "spyneSharePhotoList._id": shareUserProject.PhotoListId } },
{
$set: {
"spyneSharePhotoList.spyneShareUsers": {
$concatArrays: [
{
$filter: {
input: "$spyneSharePhotoList.spyneShareUsers",
cond: { $ne: ["$$this._id", shareUserProject.ShareUserId] }
}
},
[{
_id: shareUserProject.ShareUserId,
selectedByClient: { $in: [shareUserProject.ShareUserId, "$spyneSharePhotoList.spyneShareUsers._id"] }
}]
]
}
}
}
]
}
},
{ $unwind: "$root" },
{ $unwind: "$update" },
{
$set: {
"root.spyneSharePhotoList": {
$concatArrays: [
["$update.spyneSharePhotoList"],
{
$filter: {
input: "$root.spyneSharePhotoList",
cond: { $ne: ["$$this._id", shareUserProject.PhotoListId] }
}
}
]
}
}
},
{ $replaceRoot: { newRoot: "$root" } }
]).forEach(function (doc) {
db.collection.replaceOne({ _id: doc._id }, doc);
})
I did not check whether all operators are available in MongoDB 3.5
My goal was to process everything in aggregation pipeline and run just a single replaceOne() at the end.
Here another solution based on $map operator:
db.collection.aggregate([
{ $match: { _id: shareUserProject.id } },
{
$set: {
spyneSharePhotoList: {
$map: {
input: "$spyneSharePhotoList",
as: "photoList",
in: {
$cond: {
if: { $eq: [ "$$photoList._id", shareUserProject.PhotoListId ] },
then: {
"_id": "$$photoList._id",
spyneShareUsers: {
$cond: {
if: { $in: [ shareUserProject.ShareUserId, "$$photoList.spyneShareUsers._id" ] },
then: {
$map: {
input: "$$photoList.spyneShareUsers",
as: "shareUsers",
in: {
$cond: {
if: { $eq: [ "$$shareUsers._id", shareUserProject.ShareUserId ] },
then: { _id: shareUserProject.ShareUserId, selectedByClient: true },
else: "$$shareUsers"
}
}
}
},
else: {
$concatArrays: [
"$$photoList.spyneShareUsers",
[ { _id: shareUserProject.ShareUserId, selectedByClient: false } ]
]
}
}
}
},
else: "$$photoList"
}
}
}
}
}
}
]).forEach(function (doc) {
db.collection.replaceOne({ _id: doc._id }, doc);
})
You can achieve the same result also with two updates:
shareUserProject = {
id: "575",
PhotoListId: "fxLO68XyMR_x",
ShareUserId: "chittaranjan_new#gmail.com"
}
ret = db.collection.updateOne(
{ _id: shareUserProject.id },
{ $pull: { "spyneSharePhotoList.$[photoList].spyneShareUsers": { _id: shareUserProject.ShareUserId } } },
{ arrayFilters: [{ "photoList._id": shareUserProject.PhotoListId }] }
)
db.collection.updateOne(
{ _id: shareUserProject.id },
{ $push: { "spyneSharePhotoList.$[photoList].spyneShareUsers": { _id: shareUserProject.ShareUserId, selectedByClient: ret.modifiedCount == 1 } } },
{ arrayFilters: [{ "photoList._id": shareUserProject.PhotoListId }] }
)
I have below data:
{
"results":[
{
"ID":"1",
"products":[
{
"product":"car",
"number":"5"
},
{
"product":"computer",
"number":"212"
}
]
},
{
"ID":"2",
"products":[
{
"product":"car",
"number":"9"
},
{
"product":"computer",
"number":"463"
},
{
"product":"bicycle",
"number":"5"
}
]
}
]
}
And my query is below:
{
"query":{
"bool":{
"must":[
{
"wildcard":{
"results.products.product":"*car*"
}
},
{
"wildcard":{
"results.products.number":"*5*"
}
}
]
}
}
}
What I expect is to get only ID1. Because only it has a product with { "product":"car", "number":"5" } record. But what I get is both ID1 and ID2 because ID2's first record has "product":"car" and third record has "number":"5" records separately.
How can I fix this query?
You need to define your products as a nested type when creating mapping. Try with following mapping example:
PUT http://localhost:9200/indexname
{
"mappings": {
"typename": {
"properties": {
"products" : {
"type" : "nested"
}
}
}
}
}
Then you can use nested queries to match entire elements of your array - just as you need to.
{
"query": {
"nested": {
"path": "products",
"query": {
"bool": {
"must": [
{ "wildcard": { "products.product": "*car*" }},
{ "wildcard": { "products.number": "*5*" }}
]
}
}
}
}
}
I am new in groovy and I want to construct a json object with the builder
{
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{ "match": { "content": "scontent" } },
{ "match": { "title":"stitle" } }
]
}
},
{
"bool": {
"should": [
{ "match": { "a1": "v1" } },
{ "match": { "a2":"v2" } },
... and so on ...
{ "match": { "an":"vn" } }
]
}
}
]
}
},
"highlight": {
"fields": {
"content":{}
}
}
}
I search a lot of on other posts on stackoverflow and I write this code
So I did this but no way to get what I want :
JsonBuilder builder = new JsonBuilder()
def body = builder {
from Lib.or(qQuery.start, 0)
size Lib.or(qQuery.num, 10)
query {
bool {
must [
{
bool {
should [
{ match { content 'scontent' } },
{ match { title 'stitle' } }
]
}
},
{
bool {
should myVals.collect {[
'match' : { it.key it.value }
]}
}
}
]
}
}
highlight {
fields {
content {}
}
}
}
Thanks for any help !
I think you can make this work with the JsonBuilder as is, but it is usually easier to create the data structure using maps and lists (which is what the builder outputs) in groovy as you have more control there.
Example code:
import groovy.json.*
def data = [
query: [
bool: [
must: [
[bool:
[should: [
[match: [ content: 'scontent']],
[match: [ title: 'stitle']]
]]
],
[bool:
[should: [
[match: [ a1: 'v1']],
[match: [ a2: 'v2']],
[match: [ vn: 'vn']]
]]
]
]
]
]
]
println JsonOutput.prettyPrint(JsonOutput.toJson(data))
produces:
{
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
"match": {
"content": "scontent"
}
},
{
"match": {
"title": "stitle"
}
}
]
}
},
{
"bool": {
"should": [
{
"match": {
"a1": "v1"
}
},
{
"match": {
"a2": "v2"
}
},
{
"match": {
"vn": "vn"
}
}
]
}
}
]
}
}
}
I did not include your full json as it takes up some space, but the structure is there. Note the use of lists ([valueA, valueB]) vs maps ([someKey: someValue]) in the data structure.
Granted this makes the JsonBuilder less than 100% useful but I haven't seen any concise ways of including lists of large json objects in a list within the structure. You can do:
def json = JsonBuilder()
json.query {
bool('list', 'of', 'values')
}
but for larger structures as list elements I would say go with the lists and maps approach.
Here is my array from db,
[
{
"_id": "58144e6c0c8d7534f4307269",
"doctor_id": "5813221ace684e2b3f5f0a6d",
"prescription": [
{
"_id": "58144e6c0c8d7534f430726a",
"medicine_id": "10011241343"
}
]
I want to merge with only prescription like this
[
{
"_id": "58144e6c0c8d7534f4307269",
"doctor_id": "5813221ace684e2b3f5f0a6d",
"prescription": [
{
"_id": "58144e6c0c8d7534f430726a",
"medicine_id": "10011241343"
},
"prescription": [
{
"_id": "58144e6c0c8d7534f430726a", // it should be autogenerated
"medicine_id": "10011241344"
}
]
How can I do this?
I have tried like this
var arr = data.presription
arr=req.body// which contains only medicine id
and then by
dbModel.user.findById(data._id, function(err, data) {
data.prescription = arr;
data.save(function(err) {
if (err) {
res.status(202).json({
"success": "0",
});
} else {
res.status(200).json({
"success": "1"
});
}
})
});
But it is saving the same. How can I do this?
Note: Even when I do console.log(arr) only the old data is printing.
So data.presription is an array from the start.
data.presription.push( {
"_id": "58144e6c0c8d7534f430726a",
"medicine_id": "10011241344"
});
This is NOT a merge, what you want to do is to append (or push) items into an existing array.