My data model:
{
_id: ObjectId,
persons:[{
_id: ObjectId,
name: String,
...
}],
relations: [{
type: String,
personId: ObjectId,
...
}],
...
}
Here's my issue:
I am trying to find documents where person's name is x and it's _id is inside the relations array (personId) with a given type.
Example:
My data:
[{
_id:"1",
persons:[{
_id:"1",
name: "Homer"
},
{
_id:"2",
name: "Bart"
}],
relations: [{
type:"House_Owner",
personId: 1,
}],
}]
Request_1:
Find all documents where "Homer" is the house owner
Result:
[{
_id:"1",
...
}]
Request_2:
Find all documents where "Bart" is the house owner
Result:
[]
Any help would be appreciated.
The only solution I see here is to do the find operation with the given name value and after that filter the mongodb result.
PS: I cannot change the existing data model
EDIT:
I found a solution to do this by using $where operator with a javascript function but I am not sure that's the most efficient way.
db.myCollection("x").find({
$where: function() {
for (const relation of this.relations) {
if(relation.type === "House_Owner") {
for (const person of this.persons) {
if(person.name === "Homer" && person._id.equals(relation.personId)) {
return true;
}
}
}
}
}
})
You can do something like this:
const requiredName="x"
const requiredId = "id"
await yourModel.find({$and:[{"relations.personId":requiredId },{"persons.name":requiredName}]})
Related
I'm writing a back code using NodeJs to fetch some data from backend, I want dataBase data to be like this
like this:
data = [{
name: "Admin",
id: '1',
children: [
{ name: "Admin", id: "1" },
{ name: "groupe1", id: "2" },
{
name: "groupe2", id: "1455", children: [
{ name: "groupe2", id: "1455" },
{ name: "gro", id: "5444" },
{ name: "hhrr", id: "45" }
]
}
]
}]
the idea is simple we have a list of group each group has a parent I want to display all the groups list in an hierarchical way the top one of the tree is done
Some groups are parents and groups in the same time and some others are only groups if the group is not parent we add an object with its name and ID in the array of children of his parent
if this groups is a parent that's mean it has children we add an object with its ID and name in the array of children of his parents, and we add property children for the object which is array named children with for the first time an object with the name and the id of the group etc...
i tryed to do this but it did not work
const getParentsByType = async ({ name, _id }) => {
let parentResult = [
{
id: _id,
name: name,
children: [
{
id: _id,
name: name,
},
],
},
];
parentResult= await findParent(_id, parentResult[0].children, 0);
return parentResult;
};
const findParent = async (parentId, parentResult, itemPos) => {
let children = await Models.GroupModel.find({ parent: parentId, status: true }).select('name _id');
for (let i = 0; i < children.length; i++) {
let childrenList = await Models.GroupModel.find({ parent: children[i]._id, status: true }).select('name _id');
if (childrenList.length != 0) {
parentResult.push(buildParentWithChild(children[i]._id, children[i].name));
findParent(children[i]._id,parentResult.children[i],itemPos++)
} else {
parentResult.push(buildParent(children[i]._id, children[i].name));
}
}
return parentResult
};
and this the model of the data base
const Group = mongoose.Schema({
name: {
type: String,
required: true,
},
status: {
type: Boolean,
required: true,
},
parent: {
type: mongoose.Schema.Types.ObjectId,
ref: 'Group',
},
});
i had two days trying to resolve tis but with no result
i need some helps and Thank you
Try parsing your returned data. It validates your data as objects i dont see any problem with your function regardless i still have no idea what format your a trying to build.
let children = JSON.parse(JSON.stringify(await Models.GroupModel.find({ parent: parentId, status: true }).select('name _id')));
let childrenList = JSON.parse(JSON.stringify(await Models.GroupModel.find({ parent: children[i]._id, status: true }).select('name _id')));
If I understand you right, you want to convert the array returned by Models.GroupModel.find, and which looks like
var dbresult = [
{_id: "1", parent: null, name: "one"},
{_id: "2", parent: "1", name: "two"}
];
into a hierarchical structure. This can be done with a function that adds all children of a given parent p, including, recursively, their children. Like the following:
function children(p) {
var result = [];
for (r of dbresult) if (r.parent === p) {
var row = {_id: r._id, name: r.name};
var chld = children(r._id);
if (chld.length > 0) row.children = chld;
result.push(row);
}
return result;
}
console.log(JSON.stringify(children(null)));
Note that this approach requires only one database access (to fill the dbresult) and is therefore probably faster than your findParent function.
I have a Schema that holds an array of objects for comments and I would like to update the boolean value of the flagged comments accordingly, I have tried updateOne and aggregate but it isn't working out at this point, I have also tried to use $elemMatch but it isn't working.
The comment _id is being pulled from the front end element that has an ID that is the same as the id that needs to be pulled from MongoDB.
Comments Array within the question Schema:
comments: [
{
user: {
type: Object,
},
commentDate: {
type: Date,
default: Date.now()
},
flagged: {
type: Boolean,
default: false
},
flaggedDate:{type: Date},
comment: String,
}
],
function I tried to run last.
const id = req.params.id
const updateFlag = Question.updateOne(
{
comments: [
{
_id: id
}
]
},
{
$set: {
comments: [
{
flagged: req.body.flagged
}
]
}
}
)
Any help would be appreciated!
You can do it with positional operator - $:
db.collection.update({
"comments._id": "3"
},
{
"$set": {
"comments.$.flagged": true
}
})
Working example
So I tried several ways, but I can't, I can modify several objects with the same key but I can't modify any with different keys, if anyone can help me is quite a complex problem
{
id: 123,
"infos": [
{ name: 'Joe', value: 'Disabled', id: 0 },
{ name: 'Adam', value: 'Enabled', id: 0 }
]
};
In my database I have a collection with an array and several objects inside which gives this.
I want to modify these objects, filter by their name and modify the value.
To give you a better example, my site returns me an object with the new data, and I want to modify the database object with the new object, without clearing the array, the name key never changes.
const object = [
{ name: 'Joe', value: 'Hey', id: 1 },
{ name: 'Adam', value: 'None', id: 1 }
];
for(const obj in object) {
Schema.findOneAndUpdate({ id: 123 }, {
$set: {
[`infos.${obj}.value`]: "Test"
}
})
}
This code works but it is not optimized, it makes several requests, I would like to do everything in one request, and also it doesn't update the id, only the value.
If anyone can help me that would be great, I've looked everywhere and can't find anything
My schema structure
new Schema({
id: { "type": String, "required": true, "unique": true },
infos: []
})
I use the $addToSet method to insert objects into the infos array
Try This :
db.collection.update({
id: 123,
},
{
$set: {
"infos.$[x].value": "Value",
"infos.$[x].name": "User"
}
},
{
arrayFilters: [
{
"x.id": {
$in: [
1
]
}
},
],
multi: true
})
The all positional $[] operator acts as a placeholder for all elements in the array field.
In $in you can use dynamic array of id.
Ex :
const ids = [1,2,..n]
db.collection.update(
//Same code as it is...
{
arrayFilters: [
{
"x.id": {
$in: ids
}
},
],
multi: true
})
MongoPlayGround Link : https://mongoplayground.net/p/Tuz831lkPqk
Maybe you look for something like this:
db.collection.update({},
{
$set: {
"infos.$[x].value": "test1",
"infos.$[x].id": 10,
"infos.$[y].value": "test2",
"infos.$[y].id": 20
}
},
{
arrayFilters: [
{
"x.name": "Adam"
},
{
"y.name": "Joe"
}
],
multi: true
})
Explained:
You define arrayFilters for all names in objects you have and update the values & id in all documents ...
playground
I have a faunadb collection of users. The data is as follows:
{
"username": "Hermione Granger",
"fullName": "Hermione Jean Granger",
"DOB": "19-September-1979",
"bloodStatus": "Muggle-Born",
"gender": "Female",
"parents": [
"Wendell Wilkins",
"Monica Wilkins"
]
}
when I use an index I have to search for the whole phrase i.e. Hermione Granger. But I want to search for just Hermione and get the result.
I came across a solution that seems to work.
The below uses the faunadb client.
"all-items" is an index setup on a collection in Fauna that returns all items in the collection
The lambda is searching on the title field
This will return any document with a title that partially matches the search term.
I know this is a bit late; I hope it helps anyone else who may be looking to do this.
const response = await faunaClient.query(
q.Map(
q.Filter(
q.Paginate(q.Match(q.Index("all_items"))),
q.Lambda((ref) =>
q.ContainsStr(
q.LowerCase(
q.Select(["data", "title"], q.Get(ref))
),
title // <= this is your search term
)
)
),
q.Lambda((ref) => q.Get(ref))
)
The Match function only applies an exact comparison. Partial matches are not supported.
One approach that might work for you is to store fields that would contain multiple values that need to be indexed as arrays.
When you index a field whose value is an array, the index creates multiple index entries for the document so that any one of the array items can be used to match entries. Note that this strategy increases the read and write operations involved.
Here's an example:
> CreateCollection({ name: "u" })
{
ref: Collection("u"),
ts: 1618532727920000,
history_days: 30,
name: 'u'
}
> Create(Collection("u"), { data: { n: ["Hermione", "Granger"] }})
{
ref: Ref(Collection("u"), "295985674342892032"),
ts: 1618532785650000,
data: { n: [ 'Hermione', 'Granger' ] }
}
> Create(Collection("u"), { data: { n: ["Harry", "Potter"] }})
{
ref: Ref(Collection("u"), "295985684233060864"),
ts: 1618532795080000,
data: { n: [ 'Harry', 'Potter' ] }
}
> Create(Collection("u"), { data: { n: ["Ginny", "Potter"] }})
{
ref: Ref(Collection("u"), "295985689713967616"),
ts: 1618532800300000,
data: { n: [ 'Ginny', 'Potter' ] }
}
> CreateIndex({
name: "u_by_n",
source: Collection("u"),
terms: [
{ field: ["data", "n"] }
]
})
{
ref: Index("u_by_n"),
ts: 1618533007000000,
active: true,
serialized: true,
name: 'u_by_n3',
source: Collection("u"),
terms: [ { field: [ 'data', 'n' ] } ],
partitions: 1
}
> Paginate(Match(Index("u_by_n"), ["Potter"]))
{
data: [
Ref(Collection("u"), "295985684233060864"),
Ref(Collection("u"), "295985689713967616")
]
}
Note that you cannot query for multiple array items in a single field:
> Paginate(Match(Index("u_by_n"), ["Harry", "Potter"]))
{ data: [] }
The reason is that the index has only one field defined in terms, and successful matches require sending an array having the same structure as terms to Match.
To be able to search for the full username and the username as an array, I'd suggest storing both the string and array version of the username field in your documents, e.g. username: 'Hermione Granger' and username_items: ['Hermione', 'Granger']. Then create one index for searching the string field, and another for the array field, then you can search either way,
For a polymorphic schema such as Union in Normalizr, for schema definitions and data:
const data = { owner: { id: 1, type: 'user', name: 'Anne' } };
const user = new schema.Entity('users');
const group = new schema.Entity('groups');
const unionSchema = new schema.Union({
user: user,
group: group
}, 'type');
const normalizedData = normalize(data, { owner: unionSchema });
normalized data takes the form:
{
entities: {
users: { '1': { id: 1, type: 'user', name: 'Anne' } }
},
result: { owner: { id: 1, schema: 'user' } }
}
The entities are keyed on the schema key, in this case, users, but the result object includes only the key for the schema in the UnionSchema definition. This can make it difficult to match up the elements later without full denormalization.
Is there some better way to normalize such data with normalizr to make it easier to pull the entity from the entities, given the result? For my purposes, ideally, data could be normalized from something like:
const data = { owner: { id: 1, type: 'users', name: 'Anne' } };
to
{
entities: {
users: { '1': { id: 1, type: 'users', name: 'Anne' } }
},
result: { owner: { id: 1, type: 'users' } }
}
Note that the type matches the entity key (that is pretty trivial), and the name of the key in result is type (more of a pain if you want to do it with more complex data). I suspect that that sort of normalization would make it harder to denormalize, but I'm interested in normalization only.
Got an answer on this:
https://github.com/paularmstrong/normalizr/issues/281
Apparently, the behavior is intentional and is not going to change--there is no way to use Normalizr to do what I asked.