For example, create an example collection classes with the following document:
db.classes.insert( [
{ _id: 1, title: "Reading is ...", enrollmentlist: [ "giraffe2", "pandabear", "artie" ], days: ["M", "W", "F"] },
{ _id: 2, title: "But Writing ...", enrollmentlist: [ "giraffe1", "artie" ], days: ["T", "F"] }
])
Create another collection members with the following documents:
db.members.insert( [
{ _id: 1, name: "artie", joined: new Date("2016-05-01"), status: "A" },
{ _id: 2, name: "giraffe", joined: new Date("2017-05-01"), status: "D" },
{ _id: 3, name: "giraffe1", joined: new Date("2017-10-01"), status: "A" },
{ _id: 4, name: "panda", joined: new Date("2018-10-11"), status: "A" },
{ _id: 5, name: "pandabear", joined: new Date("2018-12-01"), status: "A" },
{ _id: 6, name: "giraffe2", joined: new Date("2018-12-01"), status: "D" }
])
The following aggregation operation joins documents in the classes collection with the members collection, matching on the members field to the name field:
db.classes.aggregate([
{
$lookup:
{
from: "members",
localField: "enrollmentlist",
foreignField: "name",
as: "enrollee_info"
}
}
])
The operation returns the following:
{
"_id" : 1,
"title" : "Reading is ...",
"enrollmentlist" : [ "giraffe2", "pandabear", "artie" ],
"days" : [ "M", "W", "F" ],
"enrollee_info" : [
{ "_id" : 1, "name" : "artie", "joined" : ISODate("2016-05-01T00:00:00Z"), "status" : "A" },
{ "_id" : 5, "name" : "pandabear", "joined" : ISODate("2018-12-01T00:00:00Z"), "status" : "A" },
{ "_id" : 6, "name" : "giraffe2", "joined" : ISODate("2018-12-01T00:00:00Z"), "status" : "D" }
]
}
{
"_id" : 2,
"title" : "But Writing ...",
"enrollmentlist" : [ "giraffe1", "artie" ],
"days" : [ "T", "F" ],
"enrollee_info" : [
{ "_id" : 1, "name" : "artie", "joined" : ISODate("2016-05-01T00:00:00Z"), "status" : "A" },
{ "_id" : 3, "name" : "giraffe1", "joined" : ISODate("2017-10-01T00:00:00Z"), "status" : "A" }
]
}
How would you write this in Java with MongoDB?
Related
Mongodb 4.2.15
I'm tring to use mongo Updates with Aggregation Pipeline
My request is very big but here it's core structure
db.runCommand({
"update": "collectionName",
"updates": [
{
"q": { ... },
"u": [
{
"$project": { ... },
"$set": { ... },
"$set": { ... },
"$project": { ... }
}
],
"multi": false,
"upsert": true
}
]
});
After the first execute I receive a result with newly created object's _id
{
"n" : 1,
"nModified" : 0,
"upserted" : [
{
"index" : 0,
"_id" : ObjectId("619997f11501d6eb40c6f64a")
}
],
"opTime" : {
"ts" : Timestamp(1637455857, 61),
"t" : NumberLong(5)
},
"electionId" : ObjectId("7fffffff0000000000000005"),
"ok" : 1.0,
"$clusterTime" : {
"clusterTime" : Timestamp(1637455857, 61),
"signature" : {
"hash" : { "$binary" : "hA0tf5DXMqTNmnVXdMVnpnAKCU0=", "$type" : "00" },
"keyId" : NumberLong(7018546168816730116)
}
},
"operationTime" : Timestamp(1637455857, 61)
}
After the second execution of the same request there is no modified object's _id
{
"n" : 1,
"nModified" : 1,
"opTime" : {
"ts" : Timestamp(1637456057, 19),
"t" : NumberLong(5)
},
"electionId" : ObjectId("7fffffff0000000000000005"),
"ok" : 1.0,
"$clusterTime" : {
"clusterTime" : Timestamp(1637456057, 19),
"signature" : {
"hash" : { "$binary" : "U2yCP6nXUrjBN9ZiLanyl0rgxww=", "$type" : "00" },
"keyId" : NumberLong(7018546168816730116)
}
},
"operationTime" : Timestamp(1637456057, 19)
}
The thing is that my filter conditions do not contain _id of the object but I need to return it with response. I see no useful request configurations. Any suggestions is it possible to get _id at response on update case?
db.ticket.aggregate([
{
$lookup: {
from: "crmorder",
localField: "subOrderId",
foreignField: "currentStatus",
as: "comments"
}
}
])
in the result comments field is getting blank why?
you have one more table in name of crmorder
In ticket table must have - subOrderId field
In crmorder table must have - currentStatus field
and also ticket table subOrderId field == crmorder table currentStatus field
here is the sample snippt:
db.orders.insert([
{ "_id" : 1, "item" : "almonds", "price" : 12, "quantity" : 2 },
{ "_id" : 2, "item" : "pecans", "price" : 20, "quantity" : 1 },
{ "_id" : 3 }
])
db.inventory.insert([
{ "_id" : 1, "sku" : "almonds", description: "product 1", "instock" : 120 },
{ "_id" : 2, "sku" : "bread", description: "product 2", "instock" : 80 },
{ "_id" : 3, "sku" : "cashews", description: "product 3", "instock" : 60 },
{ "_id" : 4, "sku" : "pecans", description: "product 4", "instock" : 70 },
{ "_id" : 5, "sku": null, description: "Incomplete" },
{ "_id" : 6 }
])
db.orders.aggregate([
{
$lookup:
{
from: "inventory",
localField: "item",
foreignField: "sku",
as: "inventory_docs"
}
}
])
I'm working with documents that contain music playlists.
Each document has this structure:
{
"user_id": "5858",
"playlists": [
{
"name": "My Playlist",
"guild_ids": ["7575"],
"items": [
{
"title": "title",
"url": "url",
"duration": 200000
}
]
}
]
}
I would like to extract all playlists from the same guild.
But the thing is that i'd like the results to be returned in a single document. One single document with a list of playlists.
The expected result for guild_id=5656 would be like this:
{
"playlists": [
{
"name": "My Playlist",
"guild_ids": ["5656"],
"items": [
{
"title": "title",
"url": "url",
"duration": 200000
}
]
},
// other playlists where guild_ids contains "5656"
]
}
I tried to use aggregation but i always get the same number of documents as the number of unique user_ids. I get the playlists grouped by user_id.
The following query can get us the expected output:
db.collection.aggregate([
{
$unwind:"$playlists"
},
{
$match:{
"playlists.guild_ids":{
$in:["7575"]
}
}
},
{
$group:{
"_id":null,
"playlists":{
$push: "$playlists"
}
}
},
{
$project:{
"_id":0
}
}
]).pretty()
Data set:
{
"_id" : ObjectId("5d88225e38db7cf8d3f75cd6"),
"user_id" : "5858",
"playlists" : [
{
"name" : "My Playlist",
"guild_ids" : [
"7575"
],
"items" : [
{
"title" : "title",
"url" : "url",
"duration" : 200000
}
]
}
]
}
{
"_id" : ObjectId("5d88225e38db7cf8d3f75cd7"),
"user_id" : "5858",
"playlists" : [
{
"name" : "My Playlist 2",
"guild_ids" : [
"1234"
],
"items" : [
{
"title" : "title",
"url" : "url",
"duration" : 200000
}
]
}
]
}
{
"_id" : ObjectId("5d88225e38db7cf8d3f75cd8"),
"user_id" : "5858",
"playlists" : [
{
"name" : "My Playlist 3",
"guild_ids" : [
"7575"
],
"items" : [
{
"title" : "title",
"url" : "url",
"duration" : 200000
}
]
}
]
}
Output:
{
"playlists" : [
{
"name" : "My Playlist",
"guild_ids" : [
"7575"
],
"items" : [
{
"title" : "title",
"url" : "url",
"duration" : 200000
}
]
},
{
"name" : "My Playlist 3",
"guild_ids" : [
"7575"
],
"items" : [
{
"title" : "title",
"url" : "url",
"duration" : 200000
}
]
}
]
}
Query analysis: We are unwinding the playlists, filtering only those which has 7575 guild ID and then grouping them all again.
I want to update request fields only in an array using java.This is my existing document in mongo db:
{
"_id": "6691e5068dwe335w42cb0a699650f",
"Opportunity_Owner": "Self",
"Account_Name": "IC",
"Lead_Source": "Callbox",
"Opportunity_Name": "name1 ",
"Stage": "Proposal",
"Stage_Status": "A",
"1555570551211": [],
"1555556165153": [],
"1555556059584": [{
"id": "1557389940585",
"Notes": "Note 1"
},
{
"id": "1557389945398",
"Notes": "Hi Bobby "
},
{
"id": "1557389978181",
"Notes": "Spoken to Bobby."
},
{
"id": "1557389990159",
"Notes": "plan to call on 29/Apr"
}
],
"createdBy": "2c18b8dbb7d74a41a66f53a90117480a",
"createdDate": "1562911250917"
}
Request payload:
{
"_id" : "6691e5068dwe335w42cb0a699650f",
"Stage_Status" : "I",
"1555556059584" : [
{
"id" : "1557389940585",
"Notes" : "updated note 123"
}
]
}
I am trying to update "Stage_Status" and "1555556059584.Notes" at a time using $set.I am able to update "Stage_Status" but "1555556059584" array is going to reset with what i have updated with last one.
expected output:
{
"_id" : "6691e5068dwe335w42cb0a699650f",
"Opportunity_Owner" : "Self",
"Account_Name" : "IC",
"Lead_Source" : "Callbox",
"Opportunity_Name" : "name1 ",
"Stage" : "Proposal",
"Stage_Status" : "I",
"1555570551211" : [],
"1555556165153" : [],
"1555556059584" : [
{
"id" : "1557389940585",
"Notes" : "updated note 123"
},
{
"id" : "1557389945398",
"Notes" : "Hi Bobby "
},
{
"id" : "1557389978181",
"Notes" : "Spoken to Bobby."
},
{
"id" : "1557389990159",
"Notes" : "plan to call on 29/Apr"
}
],
"createdBy" : "2c18b8dbb7d74a41a66f53a90117480a",
"createdDate" : "1562911250917"
}
can any one please help me to figure it out in java.
I guess you wanted to update Stage_Status and 1555556059584.Notes at Once .
here is a demo about it
> db.student.find()
{ "_id" : ObjectId("5d2c09ea8ed60ae70d3dd76b"), "name" : "bigbang", "courses" : [ { "name" : "en", "classRoom" : "9001" }, { "name" : "math", "classRoom" : "1001" } ] }
> db.student.update({name:'bigbang','courses.name':'en'},{ $set: {'courses.$.classRoom':'1009',name :"course"} })
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
> db.student.find()
{ "_id" : ObjectId("5d2c09ea8ed60ae70d3dd76b"), "name" : "course", "courses" : [ { "name" : "en", "classRoom" : "1009" }, { "name" : "math", "classRoom" : "1001" } ] }
the java demo is like this
collection.updateOne(and(eq("Stage_Status","A"),eq("1555556059584.id","1557389940585")),new Document("$set" ,new Document("Stage_Status","YOUR_NEW_VALUE").append("1555556059584.$.Notes","YOUR_NEW_VALUE")));
you must set the 1555556059584.id to let the diver know which element to be update .
{
"merchantId" : "M168976258",
"catalogTypeId" : "catalogTypeProduct",
"items" : [
{
"name" : "Product 1",
"location" : {
"type" : "Point",
"coordinates" : [
0,
0
]
}
},
{
"name" : "Product 2",
"location" : {
"type" : "Point",
"coordinates" : [
0,
0
]
}
},
{
"name" : "Product 3",
"location" : {
"type" : "Point",
"coordinates" : [
0,
0
]
}
}
}
I able to Perfrom mongo near command on document which is having single location
using below command
db.abc.find({
location :{
$near : {
$geometry : {
index : "Point" ,
coordinates : [19.1, 72.89]
},
$maxDistance : 10000
}
}
})
but i'm not able to perform on document which having nested array can anybody help me out to find out problem
By running this query i get following error
db.catalogForAdminAndMerchant.find({
"items.location" :{
$near : {
$geometry : {
index : "Point" ,
coordinates : [19.1, 72.89]
},
$maxDistance : 10000
}
}
})
o/p is
planner returned error: unable to find index for $geoNear query
but have created the index
by running db.catalogForAdminAndMerchant.getIndexes() i get
/* 1 */
{
"v" : 1,
"key" : {
"_id" : 1
},
"name" : "_id_",
"ns" : "catalog-db.catalogForAdminAndMerchant"
},
/* 2 */
{
"v" : 1,
"key" : {
"_fts" : "text",
"_ftsx" : 1
},
"name" : "CatalogForAdminAndMerchant_TextIndex",
"ns" : "catalog-db.catalogForAdminAndMerchant",
"weights" : {
"items.name" : 3
},
"default_language" : "english",
"language_override" : "language",
"textIndexVersion" : 3
},
/* 3 */
{
"v" : 2,
"key" : {
"address.items[i].location" : "2dsphere"
},
"name" : "address.items[i].location_2dsphere",
"ns" : "catalog-db.catalogForAdminAndMerchant",
"2dsphereIndexVersion" : 3
}