I am new in MongoDB and I would like to use the aggregation function where I want to check type == topic and get the following output
Expected output
[
{
conceptName : 59d98cfd1c5edc24e4024d00
totalCount : 2
},
{
conceptName : 59d98cfd1c5edc24e4024d03
totalCount : 1
}
]
Sample input db.GroupContents
{
"_id" : "5a0948bb1c5edc7a5000521a",
"type" : "topic",
"groupID" : "5a0948bb1c5edc7a5000521a",
"pedagogyID" : "59d98cfa1c5edc24e40249a3",
}
Sample input db.PedagogyNodes
{
"_id" : "59d98cfa1c5edc24e40249a3",
"latestVersion" : "59d98cfa1c5edc24e402497f_1",
"createdAt" : "2017-10-08 04:27:06",
"updatedAt" : "2017-10-08 04:27:06"
}
Sample input db.PedagogyVersions
{
"_id" : "59d98cfa1c5edc24e402497f_1",
"type" : "topic",
"contentNodes" : {
"LearningNodes" : [
"59d98cfd1c5edc24e4024d00",
"59d98cfd1c5edc24e4024d03",
"59d98cfd1c5edc24e4024d00",
]
},
"createdAt" : "2017-10-08 04:27:06",
"updatedAt" : "2017-10-08 04:27:06"
}
What I have tried so far
var groupID = "5a0948bb1c5edc7a5000521a"; // Step 1
var records;
var pnDoc;
var pvDoc;
db.GroupContents.find({groupID : groupID}).forEach(function (doc){ // Step 2
var pedagogyID = doc.pedagogyID;
var records = db.getSiblingDB('PedagogyService');
records.PedagogyNodes.find({_id : pedagogyID}).forEach(function (pnDoc) { // Step 3
var latestVersion = pnDoc.latestVersion;
// addded aggregate function here
records.PedagogyVersions.aggregate([
{
$match:{_id:latestVersion} // Step 4
},
{
$unwind:"$contentNodes.LearningNodes"
},
{
$group:
{
_id:"$contentNodes.LearningNodes",
count:{$sum:1}
}
}
])
})
});
I am unable to write db query based on my expected answer, please help.
Understand my requirement
Step : 1 => I am passing `groupID = 5a0948bb1c5edc7a5000521a`
Step : 2 => we have to check from GroupContents where groupID = groupID then we have to take `pedagogyID`
Step : 3 => we have to check from PedagogyNodes where _id = pedagogyID then we have to take `latestVersion`
Step : 4 => we have to check from PedagogyVersions where _id = latestVersion then we have to take `contentNodes->LearningNodes`
Step : 5 => Finally we have to do the aggregation then we have display the result
Try to unwind the LearningNodes array and then count them by grouping them together
db.PedagogyNodes.aggregate([
{
$unwind:"$contentNodes.LearningNodes"
},
{
$group:
{
_id:"$contentNodes.LearningNodes",
count:{$sum:1}
}
}
])
In case you need to do any matches you can use the $match stage
db.PedagogyNodes.aggregate([
{
$match:{type:"topic"}
},
{
$unwind:"$contentNodes.LearningNodes"
},
{
$group:
{
_id:"$contentNodes.LearningNodes",
count:{$sum:1}
}
}
])
Answering the edited question =>
You were not able to view the output on the console since mongoshell does not print script output on the screen. To do this, do the following:
var result = records.PedagogyVersions.aggregate([......]);
result.forEach(function(resultDoc){
print(tojson(resultDoc))
})
To see the result of your aggregation you have to pass the callback to be executed as parameter.
records.PedagogyVersions.aggregate([
{
$match:{_id:latestVersion} // Step 4
},
{
$unwind:"$contentNodes.LearningNodes"
},
{
$group:
{
_id:"$contentNodes.LearningNodes",
count:{$sum:1}
}
}
], function(err, results) {
console.log(results);
});
Related
Basically I want to update all documents inside one collection. The update is just adding 2 hours to date fields present in each document.
The documents all follow a basic structure like this :
{
code : 1,
file : {
dates : {
start : 2018-05-27 22:00:00.000Z,
end : 2018-05-27 22:00:00.000Z,
},
otherInfos : {
...
...
}
}
}
Here is my query :
var cursor = db.getCollection('files').find({});
while(cursor.hasNext()){
e = cursor.next();
let delta = 120*60*1000; //2 hours
if(e.file.dates) {
let fileStartDate = e.file.dates.start ? new Date(e.file.dates.start.getTime() + delta) : null;
let fileEndDate = e.file.dates.end ? new Date(e.file.dates.end.getTime() + delta) : null;
if(fileStartDate) {
e.file.dates.start = fileStartDate;
}
if(fileEndDate) {
e.file.dates.end = fileEndDate;
}
}
print(e);
db.getMongo().getDB('myDB').files.updateOne(
{"code":e.code},
{
$set: {"file.dates.start": fileStartDate, "file.dates.end": fileEndDate}
})
}
I am testing the query with around 20 documents and the first 10 are perfectly printed and updated with +2hours as expected but then for the second half the dates remain the exact same than before (both with the print and update).
All the documents have the same structure and same Date type so I don't understand why the query doesn't go all the way.
EDIT :
Here is a document that was succesfully updated :
{
"_id" : ObjectId("5b36c7fdd515e80009e7cc84"),
"code" : "1",
"file" : {
"dates" : {
"start" : ISODate("2018-06-11T22:00:00.000Z"),
"end" : ISODate("2018-06-11T22:00:00.000Z")
}
}
}
became as expected
{
"_id" : ObjectId("5b36c7fdd515e80009e7cc84"),
"code" : "1",
"file" : {
"dates" : {
"start" : ISODate("2018-06-12T00:00:00.000Z"),
"end" : ISODate("2018-06-12T00:00:00.000Z")
}
}
}
but for example this document :
{
"_id" : ObjectId("5b36c7ffd515e80009e7cf03"),
"code" : "15",
"file" : {
"dates" : {
"start" : ISODate("2018-09-02T22:00:00.000Z"),
"end" : ISODate("2019-09-26T22:00:00.000Z")
}
}
}
stayed the exact same
With MongoDBv4.2+, you can do an update with aggregation pipeline. Use $add to increment 2 hour * 60 minute * 60 seconds * 1000 milliseconds.
db.collection.update({},
[
{
"$set": {
"file.dates.start": {
$add: [
"$file.dates.start",
7200000
]
},
"file.dates.end": {
$add: [
"$file.dates.end",
7200000
]
}
}
}
],
{
multi: true
})
Here is the Mongo playground for your reference.
db.getMongo().getDB('myDB').files.updateOne(
{"code":e.code},
{
$set: {"file.dates.start": fileStartDate, "file.dates.end": fileEndDate}
})
updateOne only allows update on one document
You should use updateMany() to update more than 1 document
https://www.mongodb.com/docs/manual/reference/method/db.collection.updateMany/
I am trying to learn how to use mongo queries to reach deep into a data tree. Specifically, I'm trying to remove the object below {"object": 'to remove'}
{
"_id" : ObjectId("7840f22736341b09154f7ebf"),
"username" : "nmay",
"fname" : "Nate",
"lname" : "May",
"data" : [
{
"monthNum" : 1,
"year" : 2016,
"days" : [
{
"date" : "2016-01-01T06:00:00.000Z",
"type1" : [],
"type2" : []
},
{
"date" : "2016-01-02T06:00:00.000Z",
"type1" : [
{"object": 'to remove'}
],
"type2" : []
}
]
}
]
}
so far I know how to query for the user _id, but I'm not sure how to remove the desired object using the indices in each array. In this example I want to remove data[0].days[1].type1[0]
Here is the query that I have so far:
app.delete('/user/:id/data/:monthIndex/days/:dayIndex/type1/:type1Index', function (req, res, next) {
var monthIndex = parseInt(req.params.monthIndex); // these console the value properly
var dayIndex = parseInt(req.params.dayIndex); // -1 is applied to the parameter to translate to array position
var type1Index = parseInt(req.params.type1Index);
db.users.update(
{ _id: mongojs.ObjectId(req.params.id) },
{ $pull: data.monthIndex.days.dayIndex.type1.type1Index }
);
}
It gives me the error
ReferenceError: data is not defined
Can someone demonstrate how I can pass this query my index parameters to remove the desired object?
Unfortunately, there is no way to remove an array element by its numerical index with a single operation in MongoDB. In order to do this, you need to unset desired element(s) first, and remove the resulting null-valued fields afterwards.
Your code should look something like this:
db.users.update(
{ _id : mongojs.ObjectId(req.params.id) },
{ $unset : { 'data.0.days.1.type1.0' : 1 } }
);
db.users.update(
{ _id : mongojs.ObjectId(req.params.id) },
{ $pull : { 'data.0.days.1.type1' : null } }
);
Edit by #bob: to pass in the parameters you have to build the query string, which is ugly:
var unset = {};
unset['$unset'] = {};
unset.$unset['data.' + req.params.monthIndex + '.days.' + req.params.dayIndex + '.foods.' + req.params.foodIndex] = 1;
db.users.update( { _id : mongojs.ObjectId(req.params.id) }, unset );
var pull = {};
pull['$pull'] = {};
pull.$pull['data.' + req.params.monthIndex + '.days.' + req.params.dayIndex + '.foods'] = null;
db.users.update( { _id : mongojs.ObjectId(req.params.id) }, pull );
If I have a document with the following basic structure:
{
...
Monday: { a:1, b:2 },
Tuesday: { c:3, d:4 }
...
}
Am I able to 'push' an additional key:value pair to Monday's value? Result would be:
{
Monday: { a:1, b:2, z:8 },
Tuesday: { c:3, d:4 }
...
}
The $push operator seems to only work for arrays.
Just do something like that
db.foo.update({"_id" :ObjectId("...") },{$set : {"Monday.z":8}})
How to add a new key:value pair to all existing objects of a mongoDB documents
Old Key and Value Pairs
> db.students.find().pretty();
{ "_id" : ObjectId("601594f5a22527655335415c"), "name" : "Doddanna" }
{ "_id" : ObjectId("601594f5a22527655335415d"), "name" : "Chawan" }
Update New Key and Value Pairs Using updateMany() and $set
> db.students.updateMany({},{$set:{newKey1:"newValue1", newKey2:"newValue2", newKeyN:"newValueN"}});
{ "acknowledged" : true, "matchedCount" : 2, "modifiedCount" : 2 }
Have a look on Updated pretty result
> db.students.find().pretty();
{
"_id" : ObjectId("601594f5a22527655335415c"),
"name" : "Doddanna",
"newKey1" : "newValue1",
"newKey2" : "newValue2",
"newKeyN" : "newValueN"
}
{
"_id" : ObjectId("601594f5a22527655335415d"),
"name" : "Chawan",
"newKey1" : "newValue1",
"newKey2" : "newValue2",
"newKeyN" : "newValueN"
}
I know this might be irrelevant to the question but as a matter of fact, I opened this page because I was looking for an exact query with mongoose. here is my answer with mongoose.
If we have an abstract model (mongoose schema) named week in our javascript application then the code will be:
// javascript with mongoose
...
const key = "z";
const KeyValue = 8;
await week.updateOne({
_id, // mongoDb document id
},
{
$set:{
[`Monday.${key}`]: KeyValue,
},
},
{
upsert: true // options
},
);
...
var json = {
Monday: { a:1, b:2 },
Tuesday: { c:3, d:4 } }
json['Monday']['z'] = 8;
console.log(json);
I have a collection where documents can have an unknown number of sub documents:
"agent_id": {
"0":"1234",
"1":"2234",...etc
How do I search for an exact match in all the agent_id sub-fields?
You need to dynamically create an object with properties that are a concatenation of the embedded document name agent_id with the dot (.) and the field name, enclosed in quotes, something like this:
var query = {
"agent_id.0": "78343",
"agent_id.1": "78343",
"agent_id.2": "78343",
"agent_id.3": "78343",
...
"agent_id.n": "78343"
}
One way to create the object is generate the sub-documents keys with mapReduce. The following demonstrates this approach. In the Map-Reduce operation, an array of keys in the agent_id subdocument is generated to an output collection "collection_keys" and then used to produce the find() query expression:
Suppose you populate a sample collection
db.collection.insert([
{
"agent_id": {
"0":"1234",
"1":"2234",
"56":"8451",
"74":"1475",
"10":"1234"
}
},
{
"agent_id": {
"5":"5874",
"18":"2351"
}
}
])
Running the following mapReduce operation
var mr = db.runCommand({
"mapreduce" : "collection",
"map" : function() {
for (var key in this.agent_id) { emit(key, null); }
},
"reduce" : function(key, stuff) {
return null
},
"out": "collection" + "_keys"
});
var query = { "$or": [] },
value = "1234";
db[mr.result].distinct("_id").forEach(function (key){
var obj = {};
obj["agent_id." + key] = value;
query["$or"].push(obj)
});
printjson(query);
will produce:
{
"$or" : [
{
"agent_id.0" : "1234"
},
{
"agent_id.1" : "1234"
},
{
"agent_id.10" : "1234"
},
{
"agent_id.18" : "1234"
},
{
"agent_id.5" : "1234"
},
{
"agent_id.56" : "1234"
},
{
"agent_id.74" : "1234"
}
]
})
You can then use the query document in your find() query:
db.collection.find(query)
which will produce the result:
/* 0 */
{
"_id" : ObjectId("561d5312cd05efc95a1ea1f4"),
"agent_id" : {
"0" : "1234",
"1" : "2234",
"56" : "8451",
"74" : "1475",
"10" : "1234"
}
}
We have a basic enquiry management tool that we're using to track some website enquiries in our administration suite, and we're using the ObjectId of each document in our enquiries collection to sort the enquiries by the date they were added.
{
"_id" : ObjectId("53a007db144ff47be1000003"),
"comments" : "This is a test enquiry. Please ignore. We'll delete it shortly.",
"customer" : {
"name" : "Test Enquiry",
"email" : "test#test.com",
"telephone" : "07890123456",
"mobile" : "07890123456",
"quote" : false,
"valuation" : false
},
"site" : [],
"test" : true,
"updates" : [
{
"_id" : ObjectId("53a007db144ff47be1000001"),
"status" : "New",
"status_id" : ObjectId("537de7c3a5e6e668ffc2335c"),
"status_index" : 100,
"substatus" : "New Web Enquiry",
"substatus_id" : ObjectId("5396bb9fa5e6e668ffc23388"),
"notes" : "New enquiry received from website.",
},
{
"_id" : ObjectId("53a80c977d299cfe91bacf81"),
"status" : "New",
"status_id" : ObjectId("537de7c3a5e6e668ffc2335c"),
"status_index" : 100,
"substatus" : "Attempted Contact",
"substatus_id" : ObjectId("53a80e06a5e6e668ffc2339e"),
"notes" : "In this test, we pretend that we've not managed to get hold of the customer on the first attempt.",
},
{
"_id" : ObjectId("53a80e539b966b8da5c40c36"),
"status" : "Approved",
"status_id" : ObjectId("52e77a49d85e95f00ebf6c72"),
"status_index" : 200,
"substatus" : "Enquiry Confirmed",
"substatus_id" : ObjectId("53901f1ba5e6e668ffc23372"),
"notes" : "In this test, we pretend that we've got hold of the customer after failing to contact them on the first attempt.",
}
]
}
Within each enquiry is an updates array of objects which also have an ObjectId as their main identity field. We're using an $unwind and $group aggregation to pull the first and latest updates, as well as the count of updates, making sure we only take enquiries where there have been more than one update (as one is automatically inserted when the enquiry is made):
db.enquiries.aggregate([
{
$match: {
"test": true
}
},
{
$unwind: "$updates"
},
{
$group: {
"_id": "$_id",
"latest_update_id": {
$last: "$updates._id"
},
"first_update_id": {
$first: "$updates._id"
},
"update_count": {
$sum: 1
}
}
},
{
$match: {
"update_count": {
$gt: 1
}
}
}
])
This results in the following output:
{
"result" : [
{
"_id" : ObjectId("53a295ad122ea80200000005"),
"latest_update_id" : ObjectId("53a80bdc7d299cfe91bacf7e"),
"first_update_id" : ObjectId("53a295ad122ea80200000003"),
"update_count" : 2
},
{
"_id" : ObjectId("53a007db144ff47be1000003"),
"latest_update_id" : ObjectId("53a80e539b966b8da5c40c36"),
"first_update_id" : ObjectId("53a007db144ff47be1000001"),
"update_count" : 3
}
],
"ok" : 1
}
This is then passed through to our code (node.js, in this case) where we perform a few operations on it and then present some information on our dashboard.
Ideally, I'd like to add another $group pipeline aggregation to the query which would subtract the timestamp of first_update_id from the timestamp of latest_update_id to give us a timespan, which we could then use $avg on.
Can anyone tell me if this is possible? (Thank you!)
As Neil already pointed out, you can't get to the timestamp from the ObjectId in the aggregation framework.
You said that speed is not important, so using MapReduce you can get what you want:
var map = function() {
if (this.updates.length > 1) {
var first = this.updates[0];
var last = this.updates[this.updates.length - 1];
var diff = last._id.getTimestamp() - first._id.getTimestamp();
var val = {
latest_update_id : last._id,
first_update_id : first._id,
update_count : this.updates.length,
diff: diff
}
emit(this._id, val);
}
};
var reduce = function() { };
db.runCommand(
{
mapReduce: "enquiries",
map: map,
reduce: reduce,
out: "mrresults",
query: { test : true}
}
);
This are the results:
{
"_id" : ObjectId("53a007db144ff47be1000003"),
"value" : {
"latest_update_id" : ObjectId("53a80e539b966b8da5c40c36"),
"first_update_id" : ObjectId("53a007db144ff47be1000001"),
"update_count" : 3,
"diff" : 525944000
}
}
Edit:
If you want to get the average diff for all documents you can do it like this:
var map = function() {
if (this.updates.length > 1) {
var first = this.updates[0];
var last = this.updates[this.updates.length - 1];
var diff = last._id.getTimestamp() - first._id.getTimestamp();
emit("1", {diff : diff});
}
};
var reduce = function(key, values) {
var reducedVal = { count: 0, sum: 0 };
for (var idx = 0; idx < values.length; idx++) {
reducedVal.count += 1;
reducedVal.sum += values[idx].diff;
}
return reducedVal;
};
var finalize = function (key, reducedVal) {
reducedVal.avg = reducedVal.sum/reducedVal.count;
return reducedVal;
};
db.runCommand(
{
mapReduce: "y",
map: map,
reduce: reduce,
finalize : finalize,
out: "mrtest",
query: { test : true}
}
);
And the example output:
> db.mrtest.find().pretty()
{
"_id" : "1",
"value" : {
"count" : 2,
"sum" : 1051888000,
"avg" : 525944000
}
}