How I can get the total number of seats available for a particular movie (seats present in all the theatres for that movie) from the mongodb schema below.
I need to write a mongo query to get the results
{
"_id" : ObjectId("5d637b5ce27c7d60e5c42ae7"),
"name" : "Bangalore",
"movies" : [
{
"name" : "KGF",
"theatres" : [
{
"name" : "PVR",
"seats" : 45
},
{
"name" : "IMAX",
"seats" : 46
}
]
},
{
"name" : "Avengers",
"theatres" : [
{
"name" : "IMAX",
"seats" : 50
}
]
}
],
"_class" : "com.BMS_mongo.ZZ_BMS_mongo_demo.Entity.CityInfo"
}
I have written this code :
db.cities.aggregate( [
{ "$unwind" : "$movies" }, { "$unwind" : "$theatres" } ,
{ "$group" : { _id : "$movies.theatre`enter code here`s.seats" ,
total : { "$sum" : "$seats" } }
}
] )
My schema:
The following query can get us the expected output:
db.collection.aggregate([
{
$unwind:"$movies"
},
{
$unwind:"$movies.theatres"
},
{
$group:{
"_id":"$movies.name",
"movie":{
$first:"$movies.name"
},
"totalSeats":{
$sum:"$movies.theatres.seats"
}
}
},
{
$project:{
"_id":0
}
}
]).pretty()
Data set:
{
"_id" : ObjectId("5d637b5ce27c7d60e5c42ae7"),
"name" : "Bangalore",
"movies" : [
{
"name" : "KGF",
"theatres" : [
{
"name" : "PVR",
"seats" : 45
},
{
"name" : "IMAX",
"seats" : 46
}
]
},
{
"name" : "Avengers",
"theatres" : [
{
"name" : "IMAX",
"seats" : 50
}
]
}
],
"_class" : "com.BMS_mongo.ZZ_BMS_mongo_demo.Entity.CityInfo"
}
Output:
{ "movie" : "Avengers", "totalSeats" : 50 }
{ "movie" : "KGF", "totalSeats" : 91 }
Query:
db.movie.aggregate([{ $unwind: { path: "$movies",} },
{ $unwind: { path: "$movies.theatres",} },
{ $group: { _id: "$movies.name", "moviename": { $first: "$movies.name" },
"totalSeats": { $sum: "$movies.theatres.seats" }} }])
I got the answer using this query ...
db.cities.aggregate( [
{ "$match" : { "name" : "Bangalore" } },
{ "$unwind" : "$movies" } ,
{ "$match" : {"movies.name" : "KGF"} },
{ "$unwind" : "$theatres" },
{ "$group" : { _id : "$movies.name", total : { "$sum" : "$movies.theatres.seats"
} } }
] )
Related
Business Problem:
We are seeing a single customerOrderNumber with all versions having “INACTIVE.” This is a problem for multiple reasons. My goal is to be able to pull a list of customerOrderNumbers with ONLY INACTIVE statuses.
Database and Query: XXX_ORDERMGMT_1
db.getCollection('customerOrder').aggregate( [ { $match: { 'orderDocument.accountInfo.ban': '123456' } }, { $group: { _id: { customerOrderNumber : '$orderReference.customerOrderNumber', status : '$orderReference.customerOrderStatus' }, count: { $sum: 1 } }, }] )
OUTPUT:
/* 1 / { "_id" : { "customerOrderNumber" : "123", "status" : "COMPLETED" }, "count" : 1.0 } / 2 */ { "_id" : { "customerOrderNumber" : "123", "status" : "INACTIVE" }, "count" : 2.0 }
DESIRED_OUTPUT:
/* 1 */ { "_id" : { "customerOrderNumber" : "123", "statusGroupings" : { "status" : "COMPLETED", "status_cnt" : 1.0 }, { "status" : "INACTIVE", "status_cnt" : 2.0 } }, "count" : 3.0 }
( My approach was to pull all customerOrders by status and count, parse it into a relational format, and filter by only customerOrderNumbers with all versions being INACTIVE. This may not be the best way and I’m open to thoughts.)
The following query can get us the expected output:
db.getCollection("customerOrder").aggregate([
{
$match:{
"orderDocument.accountInfo.ban":"123456"
}
},
{
$group:{
"_id":{
"customerOrderNumber":"$orderReference.customerOrderNumber",
"status":"$orderReference.customerOrderStatus"
},
"customerOrderNumber":{
$first:"$orderReference.customerOrderNumber"
},
"status":{
$first:"$orderReference.customerOrderStatus"
},
"count":{
$sum:1
}
}
},
{
$group:{
"_id":"$customerOrderNumber",
"customerOrderNumber":{
$first:"$customerOrderNumber"
},
"statusGroupings":{
$push:{
"status":"$status",
"status_cnt":"$count"
}
},
"count":{
$sum:"$count"
}
}
},
{
$project:{
"_id":0
}
}
]).pretty()
Data set:
{
"_id" : ObjectId("5d9bf7204ed5d873f39a773b"),
"orderDocument" : {
"accountInfo" : {
"ban" : "123456"
}
},
"orderReference" : {
"customerOrderNumber" : 1,
"customerOrderStatus" : "INACTIVE"
}
}
{
"_id" : ObjectId("5d9bf7204ed5d873f39a773c"),
"orderDocument" : {
"accountInfo" : {
"ban" : "123456"
}
},
"orderReference" : {
"customerOrderNumber" : 1,
"customerOrderStatus" : "COMPLETED"
}
}
{
"_id" : ObjectId("5d9bf7204ed5d873f39a773d"),
"orderDocument" : {
"accountInfo" : {
"ban" : "123456"
}
},
"orderReference" : {
"customerOrderNumber" : 1,
"customerOrderStatus" : "INACTIVE"
}
}
{
"_id" : ObjectId("5d9bf7204ed5d873f39a773e"),
"orderDocument" : {
"accountInfo" : {
"ban" : "123456"
}
},
"orderReference" : {
"customerOrderNumber" : 1,
"customerOrderStatus" : "INACTIVE"
}
}
Output:
{
"customerOrderNumber" : 1,
"statusGroupings" : [
{
"status" : "COMPLETED",
"status_cnt" : 1
},
{
"status" : "INACTIVE",
"status_cnt" : 3
}
],
"count" : 4
}
I have an array of objects in a collection. I show two documents to show the structure of these array.
The property "tipos" is an array of objects. And inside this child array, the property "ingredientes" is another array of objects.
{
"_id" : ObjectId("5c6c32337acdd946b66f76e9"),
"name" : "Ensaladas",
"tipos" : [
{
"name" : "Rusa",
},
{
"name" : "Cesars",
"ingredientes" : [
{
"name" : "Lechuga",
"amount" : 20
},
{
"name" : "Vinagreta",
"amount" : 10
}
]
},
{
"name" : "Campesina",
"ingredientes" : [
{
"name" : "Beterraga",
"amount" : 55
}
]
}
]
},
{
"_id" : ObjectId("5c6c32337acdd946b66f76e9"),
"name" : "Carnes",
"tipos" : [
{
"name" : "Estofado de pollo",
},
{
"name" : "Lomo saltado",
"ingredientes" : [
{
"name" : "Lomo fino",
"amount" : 50
},
{
"name" : "Tomate",
"amount" : 15
}
]
}
]
}
I need to unwind it enough to get this result:
Ensaladas Rusa
Ensaladas Cesars Lechuga
Ensaladas Cesars Vinagreta
Ensaladas Campesina Beterraga
Carnes Estofado de pollo
Carnes Lomo saltado Lomo fino
Carnes Lomo saltado Tomate
I have been trying double unwind but not getting the result I need.
Thanks.
You need to use $unwind with preserveNullAndEmptyArrays set to true since not all the documents contain tipos.ingredientes path. Then you can use $concat with $rtrim to build the name as single string, try:
db.col.aggregate([
{ $unwind: "$tipos" },
{ $unwind: { path: "$tipos.ingredientes", preserveNullAndEmptyArrays: true } },
{ $project: { _id: 0, name: { $rtrim: { input: { $concat: [ "$name", " ", "$tipos.name", " ", { $ifNull: [ "$tipos.ingredientes.name", "" ] } ] } } } } }
])
Outputs:
{ "name" : "Ensaladas Rusa" }
{ "name" : "Ensaladas Cesars Lechuga" }
{ "name" : "Ensaladas Cesars Vinagreta" }
{ "name" : "Ensaladas Campesina Beterraga" }
{ "name" : "Carnes Estofado de pollo" }
{ "name" : "Carnes Lomo saltado Lomo fino" }
{ "name" : "Carnes Lomo saltado Tomate" }
{
"_id" : ObjectId("56bd8e9de517259412a743ab"),
"user_token" : "mzXhdbCu",
"sender_details" : {
"location" : "XYZ",
"zipcode" : "610208"
},
"shipping_address" : {
"location" : "ABC",
"zipcode" : "602578
}
}
I have been trying to count the number of instances of each unique zipcode from both
$sender_details.zipcode
and
$shipping_address.zipcode
I tried to use the following code
db.ac_consignments.aggregate({
$group: {
_id: {
"zipcode":"$sender_details.zipcode",
"szipcode":"$shipping_address.zipcode"
},
count: {"$sum":1}
}
})
The output I receive is this
{
"result" : [
{
"_id" : {
"zipcode" : "610208",
"szipcode" : "602578"
},
"count" : 7
},
{
"_id" : {
"zipcode" : "602578",
"szipcode" : "678705"
},
"count" : 51
}
],
"ok" : 1
}
But what I require is the count of each zipcode present in $sender_details.zipcode and $shipping_address.zipcode totally. So an output like this
{
"result" : [
{
"_id" : {
"zipcode" : "610208",
},
"count" : 7
},
{
"_id" : {
"zipcode" : "602578"
},
"count" : 51
}
{
"_id" : {
"zipcode" : "678705"
},
"count" : 51
}
],
"ok" : 1
}
The following pipeline should work for you
db.getCollection('ac_consignments').aggregate([
{
$project: {
zipcode: [ "$sender_details.zipcode", "$shipping_address.zipcode" ]
}
},
{
$unwind: "$zipcode"
},
{
$group: {
_id: "$zipcode",
count: { $sum: 1 }
}
}
])
which produces output like this
/* 1 */
{
"_id" : "610208",
"count" : 1.0
}
/* 2 */
{
"_id" : "610209",
"count" : 2.0
}
/* 3 */
{
"_id" : "602578",
"count" : 1.0
}
/* 4 */
{
"_id" : "602579",
"count" : 2.0
}
when using the following as sample data
/* 1 */
{
"_id" : ObjectId("56bd8e9de517259412a743ab"),
"user_token" : "mzXhdbCu",
"sender_details" : {
"location" : "XYZ",
"zipcode" : "610208"
},
"shipping_address" : {
"location" : "ABC",
"zipcode" : "602578"
}
}
/* 2 */
{
"_id" : ObjectId("56bd8e9de517259412a743ac"),
"user_token" : "mzXhdbCu",
"sender_details" : {
"location" : "XYZ",
"zipcode" : "610209"
},
"shipping_address" : {
"location" : "ABC",
"zipcode" : "602579"
}
}
/* 3 */
{
"_id" : ObjectId("56bd8e9de517259412a753ac"),
"user_token" : "mzXhdbCu",
"sender_details" : {
"location" : "XYZ",
"zipcode" : "610209"
},
"shipping_address" : {
"location" : "ABC",
"zipcode" : "602579"
}
}
See the following GIF
Update for older versions
db.getCollection('ac_consignments').aggregate([
{
$project: {
sender_zip: "$sender_details.zipcode",
shipping_zip: "$shipping_address.zipcode",
party: { $literal: ["sender_zip", "shipping_zip"] }
}
},
{
$unwind: "$party"
},
{
$group: {
_id: "$_id",
zipcode: {
$push: {
$cond: [
{ $eq: ["$party", "sender_zip"] },
"$sender_zip",
"$shipping_zip"
]
}
}
}
},
{
$unwind: "$zipcode"
},
{
$group: {
_id: "$zipcode",
count: { $sum: 1 }
}
}
])
this is my data :
> db.bookmarks.find({"userId" : "56b9b74bf976ab70ff6b9999"}).pretty()
{
"_id" : ObjectId("56c2210fee4a33579f4202dd"),
"userId" : "56b9b74bf976ab70ff6b9999",
"items" : [
{
"itemId" : "28",
"timestamp" : "2016-02-12T18:07:28Z"
},
{
"itemId" : "29",
"timestamp" : "2016-02-12T18:07:29Z"
},
{
"itemId" : "30",
"timestamp" : "2016-02-12T18:07:30Z"
},
{
"itemId" : "31",
"timestamp" : "2016-02-12T18:07:31Z"
},
{
"itemId" : "32",
"timestamp" : "2016-02-12T18:07:32Z"
},
{
"itemId" : "33",
"timestamp" : "2016-02-12T18:07:33Z"
},
{
"itemId" : "34",
"timestamp" : "2016-02-12T18:07:34Z"
}
]
}
I want to have something like (actually i hope the _id can become userId too) :
{
"_id" : "56b9b74bf976ab70ff6b9999",
"items" : [
{ "itemId": "32", "timestamp": "2016-02-12T18:07:32Z" },
{ "itemId": "31", "timestamp": "2016-02-12T18:07:31Z" },
{ "itemId": "30", "timestamp": "2016-02-12T18:07:30Z" }
]
}
What I have now :
> db.bookmarks.aggregate(
... { $match: { "userId" : "56b9b74bf976ab70ff6b9999" } },
... { $unwind: '$items' },
... { $sort: { 'items.timestamp': -1} },
... { $skip: 2 },
... { $limit: 3},
... { $group: { '_id': '$userId' , items: { $push: '$items.itemId' } } }
... ).pretty()
{ "_id" : "56b9b74bf976ab70ff6b9999", "items" : [ "32", "31", "30" ] }
i tried to read the document in mongo and find out i can $push, but somehow i cannot find a way to push such object, which is not defined anywhere in the whole object. I want to have the timestamp also.. but i don't know how should i modified the $group (or others??) to do so. thanks for helping!
This code, which I tested in the MongoDB 3.2.1 shell, should give you the output format that you want:
> db.bookmarks.aggregate(
{ "$match" : { "userId" : "Ursula" } },
{ "$unwind" : "$items" },
{ "$sort" : { "items.timestamp" : -1 } },
{ "$skip" : 2 },
{ "$limit" : 3 },
{ "$group" : { "_id" : "$userId", items: { "$push" : { "myPlace" : "$items.itemId", "myStamp" : "$items.timestamp" } } } } ).pretty()
Running the above will produce this output:
{
"_id" : "Ursula",
"items" : [
{
"myPlace" : "52",
"myStamp" : ISODate("2016-02-13T18:07:32Z")
},
{
"myPlace" : "51",
"myStamp" : ISODate("2016-02-13T18:07:31Z")
},
{
"myPlace" : "50",
"myStamp" : ISODate("2016-02-13T18:07:30Z")
}
]
}
In MongoDB version 3.2.x, you can also use the $out operator in the very last stage of the aggregation pipeline, and have the output of the aggregation query written to a collection. Here is the code I used:
> db.bookmarks.aggregate(
{ "$match" : { "userId" : "Ursula" } },
{ "$unwind" : "$items" },
{ "$sort" : { "items.timestamp" : -1 } },
{ "$skip" : 2 },
{ "$limit" : 3 },
{ "$group" : { "_id" : "$userId", items: { "$push" : { "myPlace" : "$items.itemId", "myStamp" : "$items.timestamp" } } } },
{ "$out" : "ursula" } )
This gives me a collection named "ursula":
> show collections
ursula
and I can query that collection:
> db.ursula.find().pretty()
{
"_id" : "Ursula",
"items" : [
{
"myPlace" : "52",
"myStamp" : ISODate("2016-02-13T18:07:32Z")
},
{
"myPlace" : "51",
"myStamp" : ISODate("2016-02-13T18:07:31Z")
},
{
"myPlace" : "50",
"myStamp" : ISODate("2016-02-13T18:07:30Z")
}
]
}
>
Last of all, this is the input document I used in the aggregation query. You can compare this document to how I coded the aggregation query to see how I built the new items array.
> db.bookmarks.find( { "userId" : "Ursula" } ).pretty()
{
"_id" : ObjectId("56c240ed55f2f6004dc3b25c"),
"userId" : "Ursula",
"items" : [
{
"itemId" : "48",
"timestamp" : ISODate("2016-02-13T18:07:28Z")
},
{
"itemId" : "49",
"timestamp" : ISODate("2016-02-13T18:07:29Z")
},
{
"itemId" : "50",
"timestamp" : ISODate("2016-02-13T18:07:30Z")
},
{
"itemId" : "51",
"timestamp" : ISODate("2016-02-13T18:07:31Z")
},
{
"itemId" : "52",
"timestamp" : ISODate("2016-02-13T18:07:32Z")
},
{
"itemId" : "53",
"timestamp" : ISODate("2016-02-13T18:07:33Z")
},
{
"itemId" : "54",
"timestamp" : ISODate("2016-02-13T18:07:34Z")
}
]
}
I have this Mongo query:
db.getCollection('Catalogos').aggregate(
{ $match: {Items: {$elemMatch: {'MarIclase': '04'} } } },
{ $unwind : "$Items" },
{ $match: { "Items.MarIclase" : "04" } },
{ $group : {
_id : "$_id",
Items : { $push : { 'MarIclase': "$Items.MarIclase", 'MarCdescrip' : '$Items.MarCdescrip' } }
}}
);
The result of this query is:
{
"result" : [
{
"_id" : "CAT_MARCAS_VU",
"Items" : [
{
"MarIclase" : "04",
"MarCdescrip" : "5500 LARSON"
},
{
"MarIclase" : "04",
"MarCdescrip" : "A LINER"
}
]
}
],
"ok" : 1.0000000000000000
}
I'd like to have this result:
{
"result" : [
{
"_id" : "CAT_MARCAS_VU",
"Items" : [
{
"04" : "5500 LARSON"
},
{
"04" : "A LINER"
}
]
}
],
"ok" : 1.0000000000000000
}
¿Do you know if I can make something in the $push and change the fieldnames for values?
I'd like to have something like this:
{ "04" : "A LINER" }
{ "04" : "5500 LARSON" }
Thank you!