I'm trying to combine 3 collections into one
the first collection is make up of vehicles
Vehicle
{
"_id" : ,
"vehicle_id" : ,
"engine_id" : ,
"service_schedule_id" :
}
The other two are service schedules and parts
Service_Schedule
{
"service_schedule_id" : ,
"date" : ,
"description" :
}
Parts
{
"part_id" : ,
"vehicle_id" : ,
"description" :,
"name" :
}
What I want is to combine them all so in the end I have one collection that instead of having the id's contains the actual information from the collection
Vehicle_Complete
{
"_id" : ,
"vehicle_id" : ,
"engine_id" : ,
"service_schedule" :
{
"service_schedule_id" : ,
"date" : ,
"description" :,
"parts" :
},
"parts" :
[
{
"part_id" : ,
"description" :,
"name" :
}
]
}
I've seen some similar questions that use mapreduce but nothing so far has worked for me.
Related
I have a mongoose document that is a User. Each user has arrays or words e.g. nouns. I want to be able to update the fields of the words e.g. add a +1 to the frequency or change the status number. I can access the whole array but not the individual items in the array. Also i want to be able to display the items in the array based on their fields e.g. only display those with frequency of 3 or more etc...
I have tried lots of different things but I'm just not getting it. I keep getting back error messages that findOneAndUpdate is not a function, or 'undefined' when I try to access and update documents.
{
"_id" : ObjectId("5f7d8490c1842471c6bcea42"),
"username" : "eric#mail.com",
"nouns" : [
{
"_id" : ObjectId("5f7d849cc1842471c6bcea43"),
"word" : "die Sonne",
"timeStamp" : ISODate("2020-10-07T09:04:28.436Z"),
"frequency" : 0,
"status" : 0
},
{
"_id" : ObjectId("5f7d84a8c1842471c6bcea45"),
"word" : "das Wetter",
"timeStamp" : ISODate("2020-10-07T09:04:40.940Z"),
"frequency" : 0,
"status" : 0
},
{
"_id" : ObjectId("5f7d84afc1842471c6bcea47"),
"word" : "der Apfel",
"timeStamp" : ISODate("2020-10-07T09:04:47.403Z"),
"frequency" : 0,
"status" : 0
},
{
"_id" : ObjectId("5f7d84b9c1842471c6bcea49"),
"word" : "das Maedchen",
"timeStamp" : ISODate("2020-10-07T09:04:57.388Z"),
"frequency" : 0,
"status" : 0
},
{
"_id" : ObjectId("5f7d84c8c1842471c6bcea4b"),
"word" : "das Auto",
"timeStamp" : ISODate("2020-10-07T09:05:12.036Z"),
"frequency" : 0,
"status" : 0
}
],
"verbs" : [],
"adjectives" : [],
"others" : [],
"salt" : "*****",
"hash" : "*****",
"__v" : 5
}
figured it out after hours
const ObjectId = require('mongodb').objectID
db.collections.users.updateOne(
{},
{$set: {"nouns.$[element].status": 3}},
{multi: true,
arrayFilters: [{"element._id":
ObjectId(req.body.inputId)}]}
);
I am new to javascript.
I would like to check whether the specific nested property is present or not in an array of items, ex)
[{
"_id" : ObjectId("5c4ec057e21b840001968d31"),
"status" : "ACTIVE",
"customerId" : "sample-book",
"bookInfo" : {
"bookChunks" : [
{
"key" : "Name",
"value" : "test"
},
{
"key" : "Surname1",
"value" : "testtt"
},
{
"key" : "user-contact",
"value" : "sample-value",
"ContactList" : {
"id" : "sample-id",
"timeStamp" : "Tue, 20 Sep 2016 07:49:25 +0000",
"contacts" : [
{
"id" : "contact-id1",
"name" : "Max Muller",
"phone_number" : "+XXXXXXX"
},
{
"id" : "contact-id2",
"name" : "Max Muller",
"phone_number" : "+XXXXXXX"
}
]
}
}
]
}
},
{
"_id" : ObjectId("5c4ec057e21b840001968d32"),
"status" : "ACTIVE",
"customerId" : "sample-book1",
"bookInfo" : {
"bookChunks" : [
{
"key" : "Name",
"value" : "test"
},
{
"key" : "Surname1",
"value" : "testtt"
}
]
}
}]
Here, I would like to find whether any item has ContactList or contacts present. If it is present take the item and put it in a separate list.
I am using ember-lodash. Using normal javascript or lodash would be fine for me. Any help will be really appreciated.
You could use filter and some. This returns all the objects which have at least one object with ContactList property inside bookInfo.bookChunks array.
const input=[{"_id":"5c4ec057e21b840001968d31","status":"ACTIVE","customerId":"sample-book","bookInfo":{"bookChunks":[{"key":"Name","value":"test"},{"key":"Surname1","value":"testtt"},{"key":"user-contact","value":"sample-value","ContactList":{"id":"sample-id","timeStamp":"Tue, 20 Sep 2016 07:49:25 +0000","contacts":[{"id":"contact-id1","name":"Max Muller","phone_number":"+XXXXXXX"},{"id":"contact-id2","name":"Max Muller","phone_number":"+XXXXXXX"}]}}]}},{"_id":"5c4ec057e21b840001968d32","status":"ACTIVE","customerId":"sample-book1","bookInfo":{"bookChunks":[{"key":"Name","value":"test"},{"key":"Surname1","value":"testtt"}]}}]
const output = input.filter(o =>
o.bookInfo.bookChunks.some(c => "ContactList" in c)
)
console.log(output)
If you just want to check if any of the objects have ContactList, you could replace filter with another some
(Note: This assumes that bookInfo.bookChunks will not be undefined. Otherwise you'd have to add a undefined check before using the nested property)
I have a collection that consists of posts. Inside those post objects are properties about the post, one of which being an array of tags associated with the post. Inside the array of tags are more objects, each of which are the tags with a name property. I would like to get back all the posts from this collection which have a given tag in them based on the name of the tag.
Here is an example of a post object within the collection:
{
"_id" : ObjectId("5c6a0478cba09c148b497fc6"),
"tags" : [
{
"_id" : "5c69d974e05511106048780e",
"name" : "Food",
"text_color" : "#ffffff",
"bg_color" : "#02569b",
"createdAt" : "2019-02-17T22:00:20.143Z",
"updatedAt" : "2019-02-17T22:00:20.143Z",
"__v" : 0
},
{
"_id" : "5c69d95de05511106048780d",
"name" : "Drinks",
"text_color" : "#ffffff",
"bg_color" : "#0175c2",
"createdAt" : "2019-02-17T21:59:57.758Z",
"updatedAt" : "2019-02-17T21:59:57.758Z",
"__v" : 0
}
],
"title" : "Title of the post",
"body" : "body of the post",
"author_id" : ObjectId("5c5e0d3b647f12e949cbea1e"),
"author_name" : "garrett",
"likes_count" : 1,
"createdAt" : ISODate("2019-02-18T01:03:52.497Z"),
"updatedAt" : ISODate("2019-02-28T00:25:21.969Z"),
"__v" : 0,
"dislikes_count" : 0
}
Of course I have other post objects in this collection, some of which may have different tags. How can I get all posts with the food tag to be returned?
A basic find query will do the job here. Here's how it looks
const tagName = 'food;
db.posts.find({ 'tags.name': tagName }).then(console.log);
I'm new to robmongo and I received an assignment to write some queries.
let say I have a collection that each key has some values for example value of "userId" and value of "deviceModel".
I need to write a query that shows for each device model how many users has this device.
this is what I got so far:
db.device_data.aggregate([ {"$group" : {_id:"$data.deviceModel", count:{$sum:1}}}])
The problem is that this aggregate for each device the number of keys it appears.
{
"_id" : { "$binary" : "AN6GmE7Thi+Sd/dpLRjIilgsV/4AAAg=", "$type" : "00" },
"auditVersion" : "1.0",
"currentTime" : NumberLong(1479301118381),
"data" : {
"deviceDesign" : "bullhead",
"loginType" : "GOOGLE",
"source" : "SDKLoader",
"systemUptimeMillis" : 137652880.0,
"simCountryIso" : "il",
"networkOperatorName" : "Cellcom",
"hasPhonePermission" : true,
"deviceIdentifier" : "353627074839559",
"sdkVersion" : "0.7.939.2016-11-14.masterDev",
"brand" : "google",
"osVersion" : "7.0",
"osVersionIncremental" : "3239497",
"deviceModel" : "Nexus 5X",
"deviceSDKVersion" : 24.0,
"manufacturer" : "LGE",
"sdkShortBuildDate" : "2016-11-14",
"sdkFullBuildDate" : "Mon Nov 14 22:16:40 IST 2016",
"product" : "bullhead"
},
"timezone" : "Asia/Jerusalem",
"collectionAlias" : "DEVICE_DATA",
"shortDate" : 17121,
"userId" : "00DE86984ED3862F9277F7692D18C88A#1927cc81cfcf7a467e9d4f4ac7a1534b"}
this is an example of how one key locks like.
The below query should give you distinct count of userId for a deviceModel. I meant if a same userId present for a deviceModel multiple items, it will be counted only once.
db.collection.aggregate([ {"$group" : {_id:"$data.deviceModel", userIds:{$addToSet: "$userId"}}
},
{
$unwind:"$userIds"
},
{
$group: { _id: "$_id", userIdCount: { $sum:1} }
}])
Unwind:-
Deconstructs an array field from the input documents to output a
document for each element.
In the above solution, it deconstructs the userId array formed on the first pipeline.
addToSet:-
Returns an array of all unique values that results from applying an
expression to each document in a group of documents that share the
same group by key.
This function ensures that only unique values are added to an array. In the above case, the userId is added to an array in the first pipeline.
I need to update a field of multiple collection documents. The field is a DBRef and I just need to change the $ref field value.
One of the documents is like this:
{ "_id" : { "$oid" : "50ab682bd3155502a75c7cf6"} , "codeId" : { "$ref"
: "version" , "$id" : { "$oid" : "511cb7d5696bdbaf4c85ebb1"}}}
The final result I want is this:
{ "_id" : { "$oid" : "50ab682bd3155502a75c7cf6"} , "codeId" : { "$ref"
: "code" , "$id" : { "$oid" : "511cb7d5696bdbaf4c85ebb1"}}}
I've tried it like this:
db.collection.update(
{},
{$set:{"codeId":{$ref:"code"}}},
false,
true
);
The problem is that the $id is lost (set as null)
{ "_id" : { "$oid" : "50ab682bd3155502a75c7cf6"} , "codeId" : { "$ref"
: "code" , "$id" : { "$oid" : null}}}
How do I keep the $id?
Thanks
You can use dot notation in order to update the nested document. Note that, whenever the dot notation is used, it should be put between quotes.
db.collection.update(
{},
{ $set:{
"codeId.$ref":"code"
}
},
false,
true
);
You can read more about Database References.