We are playing around with mongodb, but are having som troubles with a query.
We have made a powershell script that fetches drive-info from our servers and saves it in mongodb.
Our model:
{
"_id" : ObjectId("514332334a62a9209c22c866"),
"FreeSpace" : NumberLong("9439911936"),
"Name" : "C",
"TotalSize" : NumberLong("128033222656"),
"Server" : "pcws24",
"Tidspunkt" : ISODate("2013-03-15T14:37:39.457Z")
}
Edit: I have changed the datamodel to this. It should simplify the query.
{
"_id" : ObjectId("514c2ee94a62a914e0bbe954"),
"Server" : "pcws24",
"Tidspunkt" : ISODate("2013-03-22T10:14:01.4Z"),
"Drev" : [{
"DriveLetter" : "C",
"VolumeLabel" : "",
"FreeSpace" : NumberLong("6715068416"),
"TotalSize" : NumberLong("128033222656")
}, {
"DriveLetter" : "D",
"VolumeLabel" : "Data",
"FreeSpace" : NumberLong("80200286208"),
"TotalSize" : NumberLong("159891058688")
}]
}
We have the following use case scenarios.
Get the latest status for each drive on each server.
Get status for the last 24 hours for each drive on each server.
Get status for the last week for each drive on each server.
etc.
The model is created from the Get-Drive cmdlet.
How do we accomplish this? Can it be done with a query or should we use map/reduce?
Related
Embedded Update query works fine in mlab and atlas but not working in Cosmos DB:
My Collection structure:
{
"_id" : ObjectId("5982f3f97729be2cce108785"),
"password" : "$2y$10$F2P9ITmyKNebpoDaQ1ed4OxxMZSKmKFD9ipiU1klqio239c/nJcme",
"nin" : "123",
"login_status" : 1,
"updated_at" : ISODate("2017-05-16T09:09:03.000Z"),
"created_at" : ISODate("2017-05-16T06:08:47.000Z"),
"files" : [
{
"name" : "abc",
"updated_at" : ISODate("2017-05-16T06:08:48.000Z"),
"created_at" : ISODate("2017-05-16T06:08:48.000Z"),
"_id" : ObjectId("5982f3f97729be2cce108784")
}
],
"name" : "demo",
"email" : "email#gmail.com",
"phone" : "1231234",
}
My query is:
db.rail_zones.update(
{'_id': ObjectId("5982f3f97729be2cce108785"),
'files._id' : ObjectId("5982f3f97729be2cce108784")},
{ $set: {'files.$.name' : "Changed"}})
I get this response:
"acknowledged" : true,
"matchedCount" : 0.0,
"modifiedCount" : 0.0
According to your description, I tested this issue on my side and found the Array Update could not work as expected. I assumed that the Array Update feature has not been implemented in the MongoDB Compatibility layer of Azure CosmosDB. Moreover, I found a feedback Positional array update via '$' query support talking about the similar issue.
Embedded Update query works fine in mlab and atlas but not working in Cosmos DB:
My Collection structure:
{
"_id" : ObjectId("5982f3f97729be2cce108785"),
"password" : "$2y$10$F2P9ITmyKNebpoDaQ1ed4OxxMZSKmKFD9ipiU1klqio239c/nJcme",
"nin" : "123",
"login_status" : 1,
"updated_at" : ISODate("2017-05-16T09:09:03.000Z"),
"created_at" : ISODate("2017-05-16T06:08:47.000Z"),
"files" : [
{
"name" : "abc",
"updated_at" : ISODate("2017-05-16T06:08:48.000Z"),
"created_at" : ISODate("2017-05-16T06:08:48.000Z"),
"_id" : ObjectId("5982f3f97729be2cce108784")
}
],
"name" : "demo",
"email" : "email#gmail.com",
"phone" : "1231234",
}
My query is:
db.rail_zones.update(
{'_id': ObjectId("5982f3f97729be2cce108785"),
'files._id' : ObjectId("5982f3f97729be2cce108784")},
{ $set: {'files.$.name' : "Changed"}})
I get this response:
"acknowledged" : true,
"matchedCount" : 0.0,
"modifiedCount" : 0.0
According to your description, I tested this issue on my side and found the Array Update could not work as expected. I assumed that the Array Update feature has not been implemented in the MongoDB Compatibility layer of Azure CosmosDB. Moreover, I found a feedback Positional array update via '$' query support talking about the similar issue.
I have two collection as bellow products has reference of user. i search product by name & in return i want combine output of product and user using map reduce method
user collection
{
"_id" : ObjectId("52ac5dd1fb670c2007000000"),
"company" : {
"about" : "This is textile machinery dealer",
"contactAddress" : [{
"address" : "abcd",
"city" : "52ac4bc6fb670c1007000000",
"zipcode" : "39as46as80"
},{
"address" : "abcd",
"city" : "52ac4bc6fb670c1007000000",
"zipcode" : "39as46as80"
}],
"fax" : "58784868",
"mainProducts" : "ads,asd,asd",
"mobileNumber" : "9537236588",
"name" : "krishna steels",
}
"user" : ObjectId("52ac4eb7fb670c0c07000000")
}
product colletion
{
"_id" : ObjectId("52ac5722fb670cf806000002"),
"category" : "52a2a9cc48a508b80e00001d",
"deliveryTime" : "10 days after received the ",
"price" : {
"minPrice" : "2000",
"maxPrice" : "3000",
"perUnit" : "5288ac6f7c104203e0976851",
"currency" : "INR"
},
"productName" : "New Mobile Solar Charger with Carabiner",
"rejectReason" : "",
"status" : 1,
"user" : ObjectId("52ac4eb7fb670c0c07000000")
}
This cannot be done. Mongo support Map Reduce only on one collection. You could try to fetch and merge in a java collection. Couple of days back I solved a similar problem using java collection.
Click to see similar response about joins and multi collection not supported in mongo.
This can be done using two map reduces.
You run your first MR and then you reduce out the second MR onto the results of the first.
You shouldn't do this though. JOINs are not designed to be done through MR, in fact it sounds like you are trying to do this MR with inline output which in itself is a very bad idea.
MRs are not designed to run inline to the application.
You would be better off doing the JOIN else where.
I've "users" collection with a "watchlists" field, which have many inner fields too, one of that is "arrangeable_values" (the second field within "watchlists").
I need to find for each user in "users" collection, each "arrangeable_values" within "watchlists".
How can I do that with mongodb shell ?
Here is an example of data model :
> db.users.findOne({'nickname': 'superj'})
{
"_id" : ObjectId("4f6c42f6018a590001000001"),
"nickname" : "superj",
"provider" : "github",
"user_hash" : null,
"watchlists" : [
{
"_id" : ObjectId("4f6c42f7018a590001000002"),
"arrangeable_values" : {
"description" : "My introduction presentation to node.js along with sample code at various stages of building a simple RESTful web service with journey, cradle, winston, optimist, and http-console.",
"tag" : "",
"html_url" : "https://github.com/indexzero/nodejs-intro"
},
"avatar_url" : "https://secure.gravatar.com/avatar/d43e8ea63b61e7669ded5b9d3c2e980f?d=https://a248.e.akamai.net/assets.github.com%2Fimages%2Fgravatars%2Fgravatar-140.png",
"created_at" : ISODate("2011-02-01T10:20:29Z"),
"description" : "My introduction presentation to node.js along with sample code at various stages of building a simple RESTful web service with journey, cradle, winston, optimist, and http-console.",
"fork_" : false,
"forks" : 13,
"html_url" : "https://github.com/indexzero/nodejs-intro",
"pushed_at" : ISODate("2011-09-12T17:54:58Z"),
"searchable_values" : [
"description:my",
"description:introduction",
"description:presentation",
"html_url:indexzero",
"html_url:nodejs",
"html_url:intro"
],
"tags_array" : [ ],
"watchers" : 75
},
{
"_id" : ObjectId("4f6c42f7018a590001000003"),
"arrangeable_values" : {
"description" : "A Backbone alternative idea",
"tag" : "",
"html_url" : "https://github.com/maccman/spine.todos"
},
"avatar_url" : "https://secure.gravatar.com/avatar/baf018e2cc4616e4776d323215c7136c?d=https://a248.e.akamai.net/assets.github.com%2Fimages%2Fgravatars%2Fgravatar-140.png",
"created_at" : ISODate("2011-03-18T11:03:42Z"),
"description" : "A Backbone alternative idea",
"fork_" : false,
"forks" : 31,
"html_url" : "https://github.com/maccman/spine.todos",
"pushed_at" : ISODate("2011-11-20T22:59:45Z"),
"searchable_values" : [
"description:a",
"description:backbone",
"description:alternative",
"description:idea",
"html_url:https",
"html_url:github",
"html_url:com",
"html_url:maccman",
"html_url:spine",
"html_url:todos"
],
"tags_array" : [ ],
"watchers" : 139
}
]
}
For the document above, the following find() query would extract both the "nickname" of the document, and its associated "arrangeable_values" (where the document is in the users collection):
db.users.find({}, { "nickname" : 1, "watchlists.arrangeable_values" : 1 })
The result you get for your single document example would be:
{ "_id" : ObjectId("4f6c42f6018a590001000001"), "nickname" : "superj",
"watchlists" : [
{ "arrangeable_values" : { "description" : "My introduction presentation to node.js along with sample code at various stages of building a simple RESTful web service with journey, cradle, winston, optimist, and http-console.", "tag" : "", "html_url" : "https://github.com/indexzero/nodejs-intro" } },
{ "arrangeable_values" : { "description" : "A Backbone alternative idea", "tag" : "", "html_url" : "https://github.com/maccman/spine.todos" } }
] }
MongoDB queries return entire documents. You are looking for a field inside an array inside of the document and this will break the find().
The problem here is that any basic find() query, will return all matching documents. The find() does have the option to only return specific fields. But that will not work with your array of sub-objects. You could returns watchlists, but not watchlist entries that match.
As it stands you have two options:
Write some client-side code that loops through the documents and does the filtering. Remember that the shell is effectively a javascript driver, so you can write code in there.
Use the new aggregation framework. This will have a learning curve, but it can effectively extract the sub-items you're looking for.
i have this collection:
{
"_id" : ObjectId("4f3176d21a8b87fcf14658a6"),
"quiosco_id" : "11111111 ",
"transacciones" : [{
"transaccion_uuid" : "60be5247-6a38-4da2-b7b3-ea1dfaf0293b",
"machine_uuid" : "11111111 ",
"audit" : "146018",
"mti" : "1810",
"direction" : "1",
"monto" : 1.1499999761581421,
"fecha" : "07/02/2012 02:39:14 PM",
"data1" : "181052200000028000001111111111111000000000115"
}, {
"transaccion_uuid" : "adcbda16-dda7-4887-9295-2e47df7520e2",
"machine_uuid" : "11111111 ",
"audit" : "146018",
"mti" : "1810",
"direction" : "2",
"monto" : 1.1499999761581421,
"fecha" : "07/02/2012 02:39:14 PM",
"data1" : "181052200000008000001111111111111000000000115"
}
}
I need only one document with a specific transaccion_uuid.
Any mongodb query always return root document, so you can't load only embedded document.
If you need root document that contains transaction with specific id you can do it easy via dot notation:
db.items.find({"transacciones.transaccion_uuid":
"adcbda16-dda7-4887-9295-2e47df7520e2"})
If you need just one transaction from embedded document you need find it from within your driver code manually.