Let's say I have the following document schema in a collection called 'users':
{
name: 'John',
items: [ {}, {}, {}, ... ]
}
The 'items' array contains objects in the following format:
{
item_id: "1234",
name: "some item"
}
Each user can have multiple items embedded in the 'items' array.
Now, I want to be able to fetch an item by an item_id for a given user.
For example, I want to get the item with id "1234" that belong to the user with name "John".
Can I do this with mongoDB? I'd like to utilize its powerful array indexing, but I'm not sure if you can run queries on embedded arrays and return objects from the array instead of the document that contains it.
I know I can fetch users that have a certain item using {users.items.item_id: "1234"}. But I want to fetch the actual item from the array, not the user.
Alternatively, is there maybe a better way to organize this data so that I can easily get what I want? I'm still fairly new to mongodb.
Thanks for any help or advice you can provide.
The question is old, but the response has changed since the time. With MongoDB >= 2.2, you can do :
db.users.find( { name: "John"}, { items: { $elemMatch: { item_id: "1234" } } })
You will have :
{
name: "John",
items:
[
{
item_id: "1234",
name: "some item"
}
]
}
See Documentation of $elemMatch
There are a couple of things to note about this:
1) I find that the hardest thing for folks learning MongoDB is UN-learning the relational thinking that they're used to. Your data model looks to be the right one.
2) Normally, what you do with MongoDB is return the entire document into the client program, and then search for the portion of the document that you want on the client side using your client programming language.
In your example, you'd fetch the entire 'user' document and then iterate through the 'items[]' array on the client side.
3) If you want to return just the 'items[]' array, you can do so by using the 'Field Selection' syntax. See http://www.mongodb.org/display/DOCS/Querying#Querying-FieldSelection for details. Unfortunately, it will return the entire 'items[]' array, and not just one element of the array.
4) There is an existing Jira ticket to add this functionality: it is https://jira.mongodb.org/browse/SERVER-828 SERVER-828. It looks like it's been added to the latest 2.1 (development) branch: that means it will be available for production use when release 2.2 ships.
If this is an embedded array, then you can't retrieve its elements directly. The retrieved document will have form of a user (root document), although not all fields may be filled (depending on your query).
If you want to retrieve just that element, then you have to store it as a separate document in a separate collection. It will have one additional field, user_id (can be part of _id). Then it's trivial to do what you want.
A sample document might look like this:
{
_id: {user_id: ObjectId, item_id: "1234"},
name: "some item"
}
Note that this structure ensures uniqueness of item_id per user (I'm not sure you want this or not).
Related
I have a problem with updating certain properties of an array of objects in a real-time database in Firebase.
My object looks like the following (see picture).
Now I want to update the IsComing property of the second participant object.
At the moment I use the updateIsComming() function, but this is not very convincing, because I have to rewrite the whole object.
function updateIsComming() {
const db = getDatabase();
update(ref(db, " your_path/EventModel/" + modelkey ), {
Location: "London",
Participants: [
{ Name: "Bella2", IsComming: "true" },
{ Name: "Tom", IsComing: "true" },
],
});
Instead, I just want to reference the specific prop from that array. For example
Participant[1].IsComming = false;
Is there any way I can access a specific array of an object directly.
Arrays as a data structure are not recommended in Firebase Realtime Database. To learn why, I recommend reading Best Practices: Arrays in Firebase.
One of the reasons for this is that you need to read the array to determine the index of the item to update. The pattern is:
Read the array from the database.
Update the necessary item(s) in the array in your application code.
Write the updated array back to the database.
As you already discovered, this is not ideal. As is common on NoSQL databases, consider an alternative data structure that better suits the use-case.
In this case, an alternative data structure to consider is:
Participants: {
"Bella2": true,
"Tom": true
}
In there, we use the name of the participant as the key which means:
Each participant can be present in the object only once, because keys in an object are by definition unique.
You can now update a user's status by their name with: update(db, "your_path/EventModel/" + modelkey + "/Participants/Tom", false).
I am trying to make a Meteor app to let users push a value to the database. It works ok, but there a small issue. As soon a certain user has pushed his information, i don't want to let the same user create another entry. Or this must be blocked, or the value the user is pushing must be overwritten for the value he is posting the second time. Now I get multiple entry's of the same user.
Here is my code. Hope you can help me here. Thanks in advance.
Estimations.update(userstory._id, {
$addToSet: {
estimations: [
{name: Meteor.user().username, estimation: this.value}
]
}
});
From the mongo docs
The $addToSet operator adds a value to an array unless the value is
already present, in which case $addToSet does nothing to that array.
Since your array elements are objects the value is the entire object, not just the username key. This means a single user can create multiple name, estimation pairs as long as the estimation value is different.
What you can do is remove any value for the user first, then reinsert:
var username = Meteor.user().username;
Estimations.update({ userstory._id },
{ $pull: { estimations: { name: username }}}); // if it doesn't exist this will no-op
Estimations.update({userstory._id },
{ $push: { estimations: { name: username, estimation: this.value }}});
By way of commentary, you've got a collection called Estimations that contains an array called estimations that contains objects with keys estimation. This might confuse future developers on the project ;) Also if your Estimations collection is 1:1 with UserStorys then perhaps the array could just be a key inside the UserStory document?
I have started on Mongo only recently, and am adapting myself to thinking document instead of a table based approach.
I have a Schema that looks like (Node.js):
var UserInfo = new mongoose.Schema({
id: Number,
name: String,
friends: [{
id: Number,
name: String,
}]
}, {
collection: 'userInfo'
});
The issue is that if I know my User's id and his friend's id too, I will have to iterate through the entire friends[] to find the friend. In other words, the entire operation is not O(1).
If I were storing this in a JS data structure, I will use an associative array for friends, some something like myuser.friends[his_friend_id] will give me a O(1) access to the friend. How do I achieve the same O(1) in Mongo?
I'm not familiar with mongoose, but if there are issues with creating the structure as you think it should be, then there is good reason for that. My current thinking is that the keys in a nosql schema should never be dynamic as it makes searching difficult, if not impossible.
eg with your current schema you would be able to a search for a user in the friends attribute with something like
userInfo.find({ 'friends.id' = userId })
You can also do
userInfo.find({ id: userId, 'friends.id' = friendId })
but I'm not sure that you could return only the individual friend's data from the search anyway.
If you never need to do similar, then it would appear that you must be storing the relationship in both user's documents, duplicating the data. In that case you might want to consider a collection which simply maps friends to friends, or only store the relationships initiated by a user in that user's friends list.
To answer the actual question, I don't think you want to change your schema, but rather go with loading the user and just doing a filter/first/someother type array search on the list of friends to find the match.
The entire operation of retrieving the user document and getting the friend will never be O(1), because lookups in MongoDB aren't O(1). But you can avoid searching the friends array for the friend. Use $ projection:
> db.test.drop()
> db.test.insert({ "_id" : 0, "friends" : [{ "_id" : 1 }, { "_id" : 2 }, { "_id" : 3 }] })
> db.test.find({ "_id" : 0, "friends._id" : 2 }, { "friends.$" : 1 })
{ "_id" : 0, "friends" : [ { "_id" : 2 } ] }
What I was looking for was a sub-document
Finding a sub-document
Each document has an _id. DocumentArrays have a special id method for
looking up a document by its _id.
var doc = parent.children.id(id);
Hello everyone and thanks in advance for any ideas, suggestions or answers.
First, the environment: I am using CouchDB (currently developing on 1.0.2) and couchdb-lucene 0.7. Obviously, I am using couchdb-lucene ("c-l" hereafter) to provide full-text searching within couchdb.
Second, let me provide everyone with an example couchdb document:
{
"_id": "5580c781345e4c65b0e75a220232acf5",
"_rev": "2-bf2921c3173163a18dc1797d9a0c8364",
"$type": "resource",
"$versionids": [
"5580c781345e4c65b0e75a220232acf5-0",
"5580c781345e4c65b0e75a220232acf5-1"
],
"$usagerights": [
{
"group-administrators": 31
},
{
"group-users": 3
}
],
"$currentversionid": "5580c781345e4c65b0e75a220232acf5-1",
"$tags": [
"Tag1",
"Tag2"
],
"$created": "/Date(1314973405895-0500)/",
"$creator": "administrator",
"$modified": "/Date(1314973405895-0500)/",
"$modifier": "administrator",
"$checkedoutat": "/Date(1314975155766-0500)/",
"$checkedoutto": "administrator",
"$lastcommit": "/Date(1314973405895-0500)/",
"$lastcommitter": "administrator",
"$title": "Test resource"
}
Third, let me explain what I want to do. I am trying to figure out how to index the '$usagerights' property. I am using the word index very loosely because I really do not care about being able to search it, I simply want to 'store' it so that it is returned with the search results. Anyway, the property is an array of json objects. Now, these json objects that compose the array will always have a single json property.
Based on my understanding of couchdb-lucene, I need to reduce this array to a comma separated string. I would expect something like "group-administrators:31,group-users:3" to be a final output.
Thus, my question is essentially: How can I reduce the $usagerights json array above to a comma separated string of key:value pairs within the couchdb design document as used by couchdb-lucene?
A previous question I posted regarding indexing of tagging in a similar situation, provided for reference: How-to index arrays (tags) in CouchDB using couchdb-lucene
Finally, if you need any additional details, please just post a comment and I will provide it.
Maybe I am missing something, but the only difference I see from your previous question, is that you should iterate on the objects. Then the code should be:
function(doc) {
var result = new Document(), usage, right;
for(var i in doc.$usagerights) {
usage = doc.$usagerights[i];
for(right in usage) {
result.add(right + ":" + usage[right]);
}
}
return result;
}
There's no requirement to convert to a comma-separated list of values (I'd be intrigued to know where you picked up that idea).
If you simply want the $usagerights item returned with your results, do this;
ret.add(JSON.stringify(doc.$usagerights),
{"index":"no", "store":"yes", "field":"usagerights"});
Lucene stores strings, not JSON, so you'll need to JSON.parse the string on query.
what seemed a simple task, came to be a challenge for me.
I have the following mongodb structure:
{
(...)
"services": {
"TCP80": {
"data": [{
"status": 1,
"delay": 3.87,
"ts": 1308056460
},{
"status": 1,
"delay": 2.83,
"ts": 1308058080
},{
"status": 1,
"delay": 5.77,
"ts": 1308060720
}]
}
}}
Now, the following query returns whole document:
{ 'services.TCP80.data.ts':{$gt:1308067020} }
I wonder - is it possible for me to receive only those "data" array entries matching $gt criteria (kind of shrinked doc)?
I was considering MapReduce, but could not locate even a single example on how to pass external arguments (timestamp) to Map() function. (This feature was added in 1.1.4 https://jira.mongodb.org/browse/SERVER-401)
Also, there's always an alternative to write storedJs function, but since we speak of large quantities of data, db-locks can't be tolerated here.
Most likely I'll have to redesign the structure to something 1-level deep, like:
{
status:1,delay:3.87,ts:138056460,service:TCP80
},{
status:1,delay:2.83,ts:1308058080,service:TCP80
},{
status:1,delay:5.77,ts:1308060720,service:TCP80
}
but DB will grow dramatically, since "service" is only one of many options which will append each document.
please advice!
thanks in advance
In version 2.1 with the aggregation framework you are now able to do this:
1: db.test.aggregate(
2: {$match : {}},
3: {$unwind: "$services.TCP80.data"},
4: {$match: {"services.TCP80.data.ts": {$gte: 1308060720}}}
5: );
You can use a custom criteria in line 2 to filter the parent documents. If you don't want to filter them, just leave line 2 out.
This is not currently supported. By default you will always receive the whole document/array unless you use field restrictions or the $slice operator. Currently these tools do not allow filtering the array elements based on the search criteria.
You should watch this request for a way to do this: https://jira.mongodb.org/browse/SERVER-828
I'm attempting to do something similar. I tried your suggestion of using the GROUP function, but I couldn't keep the embedded documents separate or was doing something incorrectly.
I needed to pull/get a subset of embedded documents by ID. Here's how I did it using Map/Reduce:
db.parent.mapReduce(
function(parent_id, child_ids){
if(this._id == parent_id)
emit(this._id, {children: this.children, ids: child_ids})
},
function(key, values){
var toReturn = [];
values[0].children.forEach(function(child){
if(values[0].ids.indexOf(product._id.toString()) != -1)
toReturn.push(child);
});
return {children: toReturn};
},
{
mapparams: [
"4d93b112c68c993eae000001", //example parent id
["4d97963ec68c99528d000007", "4debbfd5c68c991bba000014"] //example embedded children ids
]
}
).find()
I've abstracted my collection name to 'parent' and it's embedded documents to 'children'. I pass in two parameters: The parent document ID and an array of the embedded document IDs that I want to retrieve from the parent. Those parameters are passed in as the third parameter to the mapReduce function.
In the map function I find the parent document in the collection (which I'm pretty sure uses the _id index) and emit its id and children to the reduce function.
In the reduce function, I take the passed in document and loop through each of the children, collecting the ones with the desired ID. Looping through all the children is not ideal, but I don't know of another way to find by ID on an embedded document.
I also assume in the reduce function that there is only one document emitted since I'm searching by ID. If you expect more than one parent_id to match, than you will have to loop through the values array in the reduce function.
I hope this helps someone out there, as I googled everywhere with no results. Hopefully we'll see a built in feature soon from MongoDB, but until then I have to use this.
Fadi, as for "keeping embedded documents separate" - group should handle this with no issues
function getServiceData(collection, criteria) {
var res=db[collection].group({
cond: criteria,
initial: {vals:[],globalVar:0},
reduce: function(doc, out) {
if (out.globalVar%2==0)
out.vals.push({doc.whatever.kind.and.depth);
out.globalVar++;
},
finalize: function(out) {
if (vals.length==0)
out.vals='sorry, no data';
return out.vals;
}
});
return res[0];
};