MongoDB - how to query for a nested item inside a collection? - mongodb

I have some data that looks like this:
[
{
"_id" : ObjectId("4e2f2af16f1e7e4c2000000a"),
"advertisers" : [
{
"created_at" : ISODate("2011-07-26T21:02:19Z"),
"category" : "Infinity Pro Spin Air Brush",
"updated_at" : ISODate("2011-07-26T21:02:19Z"),
"lowered_name" : "conair",
"twitter_name" : "",
"facebook_page_url" : "",
"website_url" : "",
"user_ids" : [ ],
"blog_url" : "",
},
and I was thinking that a query like this would give the id of the advertiser:
var start = new Date(2011, 1, 1);
> var end = new Date(2011, 12, 12);
> db.agencies.find( { "created_at" : {$gte : start , $lt : end} } , { _id : 1 , program_ids : 1 , advertisers { name : 1 } } ).limit(1).toArray();
But my query didn't work. Any idea how I can add the fields inside the nested elements to my list of fields I want to get?
Thanks!

Use dot notation (e.g. advertisers.name) to query and retrieve fields from nested objects:
db.agencies.find({
"advertisers.created_at": {
$gte: start,
$lt: end
}
},
{
_id: 1,
program_ids: 1,
"advertisers.name": 1
}
}).limit(1).toArray();
Reference: Retrieving a Subset of Fields
and Dot Notation

db.agencies.find(
{ "advertisers.created_at" : {$gte : start , $lt : end} } ,
{ program_ids : 1 , advertisers.name : 1 }
).limit(1).pretty();

There is one thing called dot notation that MongoDB provides that allows you to look inside arrays of elements. Using it is as simple as adding a dot for each array you want to enter.
In your case
"_id" : ObjectId("4e2f2af16f1e7e4c2000000a"),
"advertisers" : [
{
"created_at" : ISODate("2011-07-26T21:02:19Z"),
"category" : "Infinity Pro Spin Air Brush",
"updated_at" : ISODate("2011-07-26T21:02:19Z"),
"lowered_name" : "conair",
"twitter_name" : "",
"facebook_page_url" : "",
"website_url" : "",
"user_ids" : [ ],
"blog_url" : "",
},
{ ... }
If you want to go inside the array of advertisers to look for the property created_at inside each one of them, you can simply write the query with the property {'advertisers.created_at': query} like follows
db.agencies.find( { 'advertisers.created_at' : { {$gte : start , $lt : end} ... }

Related

Insert document into mongodb from existing table

I am trying to write a query in mongo that will create a new table, loop through my data set, and insert the TopExecutiveTitle into the new table. I also would like it to keep count of each position and only insert a position into the table when it is new.
This is what I have so far. This code loops through my table and inserts the TopExectuiveTitle into a new table. However, it does not group them together and keep count. How do I write my query so that it will?
db.car.find().forEach( function (x) {
db.TopExecutiveTable.insert({Topexecutivetitle: x.Topexecutivetitle})
});
Here is a sample of a document in my database.
{
"_id" : ObjectId("5a22c8e562c2e489c5df70fa"),
"2016rank" : 1,
"Dealershipgroupname" : "AutoNation Inc.?",
"Address" : "200 S.W. 1st Ave.",
"City/State/Zip" : "Fort Lauderdale, FL 33301",
"Phone" : "(954) 769-7000",
"Companywebsite" : "www.autonation.com",
"Topexecutive" : "Mike Jackson",
"Topexecutivetitle" : "chairman & CEO",
"Totalnewretailunits" : "337,622",
"Totalusedunits" : "225,713",
"Totalfleetunits" : 3,
"Totalwholesaleunits" : "82,342",
"Total_units" : "649,415",
"Total_number_of _dealerships" : 260,
"Grouprevenuealldepartments*" : "$21,609,000,000",
"2015rank" : 1
}
The result I would like is something like this
"Topexecutivetitle" : "chairman & CEO"
"Count" : 3
"Topexecutivetitle" : "president"
"Count" : 7
}
To do this you need to use the aggregate function of mongo, something like this:
db.car.aggregate([
{
$group:{
_id:"$Topexecutivetitle",
count:{$sum:1}
}
},
{
$project:{
Topexecutivetitle:"$_id",
count:1,
_id:0
}
},
{
$out:"result"
}])
This will give you your desired output and store it into a new collection "result":
{
"_id" : "president",
"count" : 1.0
},
{
"_id" : "chairman & CEO",
"count" : 3.0
}

Mongodb put Documents array as the same level

I have this array of documents, I would like to put "table" on the same level like mastil_antenas and other variables. how Can I do that with aggregate?
I'm trying with the aggregate $project but I can't get the result.
Example of Data
[ {
"mastil_antena" : "1",
"nro_platf" : "1",
"antmarcmast" : "ANDREW",
"antmodelmast" : "HWXXX6516DSA3M",
"retmarcmast" : "Ericsson",
"retmodelmast" : "ATM200-A20",
"distmast" : "1.50",
"altncramast" : "41.30",
"ORIENTMAG" : "73.00",
"incelecmast" : "RET",
"incmecmast" : "1.00",
"Feedertypemast" : "Fibra Optica",
"longjumpmast" : "5.00",
"longfo" : "100",
"calibrecablefuerza" : "10 mm",
"longcablefuerza" : "65.00",
"modelorruantena" : "32B66A",
"tiltmecfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114934746000.jpg",
"tiltmecfoto_fh" : "2017-10-18T05:51:22Z",
"az0foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115012727000.jpg",
"az0foto_fh" : "2017-10-18T05:55:21Z",
"azneg60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115016199000.jpg",
"azneg60foto_fh" : "2017-10-18T05:55:36Z",
"azpos60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115020147000.jpg",
"azpos60foto_fh" : "2017-10-18T05:55:49Z",
"etiqantenafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114920853000.jpg",
"etiqantenafoto_fh" : "2017-10-18T05:56:01Z",
"tiltelectfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114914236000.jpg",
"tiltelectfoto_fh" : "2017-10-18T05:56:13Z",
"idcablefoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114900279000.jpg",
"idcablefoto_fh" : "2017-10-18T05:56:38Z",
"rrutmafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114947279000.jpg",
"rrutmafoto_fh" : "2017-10-18T05:56:49Z",
"etiquetarrufoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114954648000.jpg",
"etiquetarrufoto_fh" : "2017-10-18T05:57:02Z",
"rrutmafoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114959738000.jpg",
"rrutmafoto1_fh" : "2017-10-18T05:57:12Z",
"etiquetarrufoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115005545000.jpg",
"etiquetarrufoto1_fh" : "2017-10-18T05:57:27Z",
"botontorre4" : "sstelcel3",
"table" : { /* put all varibles one level up*/
"tecmast" : "LTE",
"frecmast" : "2100",
"secmast" : "1",
"untitled440" : "Salir"
},
"comentmast" : "",
"longfeedmast" : "",
"numtmasmast" : "",
"otra_marca_antena" : "",
"otro_modelo_antena" : ""
}]
Starting from MongoDB version 3.4 you could use $addFields to do this.
//replace products with what makes sense in your database
db.getCollection('products').aggregate(
[
{ //1 add the properties from subdocument table to documents
$addFields: {
"documents.tecmast" : "documents.0.table.tecmast",
"documents.frecmast" : "documents.0.table.frecmast",
"documents.secmast" : "documents.0.table.secmast",
"documents.untitled440" : "documents.0.table.untitled440"
}
},
{
//(optional) 2 remove the table property from the documents
$project: {"documents.table" : 0}
}
]
)
Step 1: use $addFields to grab properties from table inside documents.table and put them on documents
Step 2: (optional) remove property "table" from documents.
I hope this helps!!!

Mongo query to return distinct count, large documents

I need to be able to get a count of distinct 'transactions' the problem I'm having is that using .distinct() comes back with an error because the documents too large.
I'm not familiar with aggregation either.
I need to be able to group it by 'agencyID' as you see below there are 2 different agencyID's
I need to be able to count transactions where the agencyID is 01721487 etc
db.myCollection.distinct("bookings.transactions").length
this doesn't work as I need to be able to group by agencyID and if there are too many results I get an error saying it's too large.
{
"_id" : ObjectId("5624a610a6e6b53b158b4744"),
"agencyID" : "01721487",
"paxID" : "-530189664",
"bookings" : [
{
"bookingID" : "24232",
"transactions" : [
{
"tranID" : "001",
"invoices" : [
{
"invNum" : "1312",
"type" : "r",
"inv_date" : "20150723",
"inv_time" : "0953",
"inv_val" : -300
}
],
"tranType" : "Fee",
"tranDate" : "20150723",
"tranTime" : "0952",
"opCode" : "admin",
"udf_1" : "j s"
}
],
"acctID" : "acct11",
"agt_id" : "xy"
}
],
"title" : "",
"firstname" : "",
"surname" : "f bar"
}
I've also tried this but it didn't work for me.
thank you for text data -
this is something you could play with:
db.kieron.aggregate([{
$unwind : "$bookings"
}, {
$match : {
"bookings.transactions" : {
$exists : true,
$not : {
$size : 0
}
}
}
}, {
$group : {
_id : "$agencyID",
count : {
$sum : {
$size : "$bookings.transactions"
}
}
}
}
])
as there is nested array we need to unwind it first, and then we can check size of inner array.
Happy reporting!

how to update property in nested mongo document

I want to update a particular property in a nested mongo document
{
"_id" : ObjectId("55af76e60b0e4b318ba822ec"),
"make" : "MERCEDES-BENZ",
"model" : "E-CLASS",
"variant" : "E 250 CDI CLASSIC",
"fuel" : "Diesel",
"cc" : 2143,
"seatingCapacity" : 5,
"variant_+_fuel" : "E 250 CDI CLASSIC (Diesel)",
"make_+_model_+_variant_+_fuel" : "MERCEDES-BENZ E-CLASS E 250 CDI CLASSIC (Diesel)",
"dropdown_display" : "E-CLASS E 250 CDI CLASSIC (Diesel)",
"vehicleSegment" : "HIGH END CARS",
"abc" : {
"variantId" : 1000815,
"makeId" : 1000016,
"modelId" : 1000556,
"fuelId" : 2,
"segmentId" : 1000002,
"price" : 4020000
},
"def" : {
"bodyType" : 1,
"makeId" : 87,
"modelId" : 21584,
"fuel" : "DIESEL",
"vehicleSegmentType" : "E2"
},
"isActive" : false
}
This is my document. If I want to add or update a value for key "nonPreferred" inside "abc", how do I go about it?
I tried it with this query:
db.FourWheelerMaster.update(
{ "abc.modelId": 1000556 },
{
$Set: {
"abc": {
"nonPreferred": ["Mumbai", "Pune"]
}
}
},
{multi:true}
)
but it updates the whole "abc" structure, removed all key:values inside it and kept only newly inserted key values like below
"abc" : {
"nonPreferred" : [
"Mumbai",
"Pune"
]
},
Can anyone tell me how to update only particular property inside it and not all the complete key?
Instead of using the $set operator, you need to push that array using the $push operator together with the $each modifier to append each element of the value separately as follows:
db.FourWheelerMaster.update(
{ "abc.modelId": 1000556 },
{
"$push": {
"abc.nonPreferred": {
"$each": ["Mumbai", "Pune"]
}
}
},
{ "multi": true }
)

How to update particular array element in MongoDB

I am newbie in MongoDB. I have stored data inside mongoDB in below format
"_id" : ObjectId("51d5725c7be2c20819ac8a22"),
"chrom" : "chr22",
"pos" : 17060409,
"information" : [
{
"name" : "Category",
"value" : "3"
},
{
"name" : "INDEL",
"value" : "INDEL"
},
{
"name" : "DP",
"value" : "31"
},
{
"name" : "FORMAT",
"value" : "GT:PL:GQ"
},
{
"name" : "PV4",
"value" : "1,0.21,0.00096,1"
}
],
"sampleID" : "Job1373964150558382243283"
I want to update the value to 11 which has the name as Category.
I have tried below query:
db.VariantEntries.update({$and:[ { "pos" : 117199533} , { "sampleID" : "Job1373964150558382243283"},{"information.name":"Category"}]},{$set:{'information.value':'11'}})
but Mongo replies
can't append to array using string field name [value]
How one can form a query which will update the particular value?
You can use the $ positional operator to identify the first array element to match the query in the update like this:
db.VariantEntries.update({
"pos": 17060409,
"sampleID": "Job1373964150558382243283",
"information.name":"Category"
},{
$set:{'information.$.value':'11'}
})
In MongoDB you can't adress array values this way. So you should change your schema design to:
"information" : {
'category' : 3,
'INDEL' : INDEL
...
}
Then you can adress the single fields in your query:
db.VariantEntries.update(
{
{"pos" : 117199533} ,
{"sampleID" : "Job1373964150558382243283"},
{"information.category":3}
},
{
$set:{'information.category':'11'}
}
)