I will to retrieved a data from MongoDb one the file to check is on a array.
I mean I have my collection "colorin" with data as:
{
"_id" : "411",
"addinon" : [
{
"key" : "0001",
"name" : "ClaroEsta"
},{
"key" : "0002",
"name" : "ClaroNOEsta"
},
]
}
so I would like to retrieve a colorin that is equial in KEY = "001"
What would be the best approach.
db.colorin.find({ addinon: { $elemMatch: { key: "001" } } });
Related
I need to create a query in mongodb that needs to return the SECOND TO THE LAST document. I am planning to use $group for this query but i dont know what aggregation function to use. I only know $first and $last.
I have an example collection below and also include the expected output. Thank you!
"_id" : ObjectId("60dc27ac54b7c46bfa1b84b4"),
"auditlogs" : [
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84be"),
"userid" : ObjectId("5ffe702d59a9205db81fcb69"),
"action" : "ADDTRANSACTION"
},
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84bd"),
"userid" : ObjectId("5ffe644f9493e05db9245192"),
"action" : "EDITPROFILE"
},
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84bc"),
"userid" : ObjectId("5ffe64949493e05db9245197"),
"action" : "DELETETRANSACTION"
} ]
"_id" : ObjectId("60dc27ac54b7c46bfa1b75ge2"),
"auditlogs" : [
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84bb"),
"userid" : ObjectId("5ffe64b69493e05db924519b"),
"action" : "ADDTRANSACTION"
},
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84ba"),
"userid" : ObjectId("5ffe65419493e05db92451d4"),
"action" : "ADDTRANSACTION"
},
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84b9"),
"userid" : ObjectId("5ffe65689493e05db92451d9"),
"action" : "CHANGEACCESS"
},
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84b8"),
"userid" : ObjectId("5ffe65819493e05db92451dd"),
"action" : "DELETETRANSACTION"
},
{
"_id" : ObjectId("60dc27ac54b7c46bfa1b84b7"),
"userid" : ObjectId("5ffe65df9493e05db92451f3"),
"action" : "EDITPROFILE",
]
OUTPUT:
{"_id" : ObjectId("60dc27ac54b7c46bfa1b84b4"),"_id" : ObjectId("60dc27ac54b7c46bfa1b84bd"),"userid" : ObjectId("5ffe644f9493e05db9245192"),"action" : "EDITPROFILE"},
{"_id" : ObjectId("60dc27ac54b7c46bfa1b75ge2"),"_id" : ObjectId("60dc27ac54b7c46bfa1b84b8"),"userid" : ObjectId("5ffe65819493e05db92451dd"),"action" : "DELETETRANSACTION"}
You can't have two _id keys in one single object.
I've made the parent object's id to _parentId you can give it's a name anything you want except _id
Aggregation:
db.collection.aggregate([
{
$unwind: "$auditlogs"
},
{
"$project": {
"_parentId": "$_id",
"_id": "$auditlogs._id",
"action": "$auditlogs.action",
"userid": "$auditlogs.userid",
}
}
])
Playground
You can slice the array by -2 to get the last two item, then by 1 to get first one. Therefore, the array will be left the second to the last. Finally, unwind auditlogs so it can be changed from array to object which is structure that you want.
db.collection.aggregate([
{
$project: { auditlogs : { $slice: [ "$auditlogs", -2 ] } }
},
{
$project: { auditlogs : { $slice: [ "$auditlogs", 1 ] } }
},
{
$unwind: "$auditlogs"
}
])
I can't make $nin work with nested arrays, can you guys spot any issue with this query?
I'm basically trying to update the status of every document under items to "closed" in case their hash field is not in a list of hashes provided.
db.getCollection('projects').update({
name: 'test',
'issues.hash': { $nin: [
'8ff28fcc9cbf10c9b690bb331e5609efbd3c526be4f536ebca02cc51bd63eac7',
'd5368ad5658ec11103796255d127d26da7f3324cdedbd124bdd5db50812d588e',
'37298229097785ebc9d419cc1a3f13e0d090a15ceb9a8e6bea3505366902556d',
'fad290f2ddd0e097e4098c3b2c3d65611406cf208a3f86924d45c7736393b44b'
]}
},
{
$set: { "issues.$.status": "closed" }
}
)
This is the data:
{
"_id" : ObjectId("611bb4d2ee06769a5f6d906d"),
"name" : "test",
"issues" : [
{
"_id" : ObjectId("611bb4d20b2fb200167aa588"),
"status" : "open",
"hash" : "8ff28fcc9cbf10c9b690bb331e5609efbd3c526be4f536ebca02cc51bd63eac7"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa589"),
"status" : "open",
"hash" : "3b83e469049e46b16d3471a188d3f5e3ddbf6b296995a71765bbf17b7289e6ea"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa58a"),
"status" : "open",
"hash" : "bef5f50628b669b9930b89cdc040361b9c8cc2b4aab3c2059c171786d38d507e"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa58b"),
"status" : "open",
"hash" : "1b4a91eb5de97d6ad7493b6e1ffa48a2a648084b4af7b37916c723533a07c37c"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa58c"),
"status" : "open",
"hash" : "bb64ba7b2612856dcd95c3ac2fad3f7368e5d463168545b12f4c869af56b55b7"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa58d"),
"status" : "open",
"hash" : "1d5fc04739b10414dea8d327998df4f200f47ce57da243bd578d4ae102f2d670"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa58e"),
"status" : "open",
"hash" : "d5368ad5658ec11103796255d127d26da7f3324cdedbd124bdd5db50812d588e"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa58f"),
"status" : "open",
"hash" : "37298229097785ebc9d419cc1a3f13e0d090a15ceb9a8e6bea3505366902556d"
},
{
"_id" : ObjectId("611bb4d20b2fb200167aa590"),
"status" : "open",
"hash" : "fad290f2ddd0e097e4098c3b2c3d65611406cf208a3f86924d45c7736393b44b"
}
]
}
And the is my result:
Updated 0 record(s) in 12ms
Thank you!
You have to use arrayFilters in this way:
db.collection.update({
"name": "test"
},
{
"$set": {
"issues.$[element].status": "closed"
}
},
{
"arrayFilters": [
{
"element.hash": {
"$nin": [
"8ff28fcc9cbf10c9b690bb331e5609efbd3c526be4f536ebca02cc51bd63eac7",
"d5368ad5658ec11103796255d127d26da7f3324cdedbd124bdd5db50812d588e",
"37298229097785ebc9d419cc1a3f13e0d090a15ceb9a8e6bea3505366902556d",
"fad290f2ddd0e097e4098c3b2c3d65611406cf208a3f86924d45c7736393b44b"
]
}
}
]
})
Example here.
Note that update query has the format: update(query, update, options) (Check the docs).
So with your find query mongo doesn't find anything. Check this example.
This is why you are telling mongo: "Give me a DOCUMENT where name is test and issues array NOT contains a field called hash with these values".
So, as mongo search by the whole document, there is no any document where hash value is not on the $nin array.
As another example to exaplain better: Check this example where hash value is 1. In this case, find query works because it matches two conditions:
There is a field name with value test
There is not any field hash into issues with values into $nin array.
You can use arrayFilters, like this:
db.collection.update({
"name": "test"
},
{
"$set": {
"issues.$[elem].status": "closed"
}
},
{
"multi": true,
"arrayFilters": [
{
"elem.hash": {
"$nin": [
"8ff28fcc9cbf10c9b690bb331e5609efbd3c526be4f536ebca02cc51bd63eac7",
"d5368ad5658ec11103796255d127d26da7f3324cdedbd124bdd5db50812d588e",
"37298229097785ebc9d419cc1a3f13e0d090a15ceb9a8e6bea3505366902556d",
"fad290f2ddd0e097e4098c3b2c3d65611406cf208a3f86924d45c7736393b44b"
]
}
}
]
})
Here is the working example: https://mongoplayground.net/p/8wZkmlBgKiq
{
"_id" : ObjectId("5badfada90fd543fd8aa7f96"),
"__v" : 0,
"deleted" : false,
"groups" : [
{
"group" : "grp",
"_id" : ObjectId("5bae09a601123357e58b66a2"),
"activities" : [
ObjectId("5bae09a601123357e58b66a3"),
ObjectId("5bae10de01123357e58b66a6")
]
},
{
"group" : "123",
"_id" : ObjectId("5bae0f1001123357e58b66a4"),
"activities" : [
ObjectId("5bae0f1001123357e58b66a5")
]
}
],
"nextActivityId" : 22,
"name" : "test",
"year" : "1",
"status" : "2",
"vision" : ObjectId("5bab2f4872acf42a81c124d0")
}
The Above Schema is a "Plan" Schema
I have to write a query for removing an Activity inside "activities" array. What will be the optimum solution for this? And how will I use $pull to achieve this
This was my solution, but it will delete the complete groups array
Plan.update({ _id: PLAN ID }, { $pull: { groups: { activities: ACTIVITY ID } } })
PLAN ID BEING: "_id" : ObjectId("5badfada90fd543fd8aa7f96"),
ACTIVITY ID FOR EXAMPLE BEING: ObjectId("5bae09a601123357e58b66a3")
Thank you!
You need to use the positional $ update operator.
db.Plan.update(
{ "_id" : PLAN ID },
{ "$pull": { "groups.$.activities": ACTIVITY ID } }
)
You can try this,
db.Plan.update({ _id: ObjectId("5badfada90fd543fd8aa7f96"),"groups.activities":{$in:[ ObjectId("5bae09a601123357e58b66a3") ]}},
{ $pull: { "groups.$.activities": ObjectId("5bae09a601123357e58b66a3") } });
The positional operator did not find the match needed from the query warning when use $ only update object.
How can I project only particular fields of items in array in sub document?
Consider the following (simplified) example:
{
"_id" : ObjectId("573d70df080cc2cbe8bf3222"),
"name" : "Nissan",
"models" : [
{
"name" : "Altima",
"body" : {
"type" : 2,
"maxprice" : 31800.00,
"minprice" : 21500.00
}
},
{
"name" : "Maxima",
"body" : {
"type" : 2,
"maxprice" : 39200.00,
"minprice" : 28800.00
}
}
]
},
{
"_id" : ObjectId("80cc2cbe8bf3222573d70df0"),
"name" : "Honda",
"models" : [
{
"name" : "Accord",
"body" : {
"type" : 2,
"maxprice" : 34100.00,
"minprice" : 20400.00
}
},
{
"name" : "Civic",
"body" : {
"type" : 3,
"maxprice" : 27900.00,
"minprice" : 19800.00
}
}
]
}
After aggregation, I'd like to get the following output:
{
"_id" : ObjectId("573d70df080cc2cbe8bf3222"),
"name" : "Nissan",
"models" : [
{
"type" : 2,
"minprice" : 21500.00
},
{
"type" : 2,
"minprice" : 28800.00
}
]
},
{
"_id" : ObjectId("80cc2cbe8bf3222573d70df0"),
"name" : "Honda",
"models" : [
{
"type" : 2,
"minprice" : 20400.00
},
{
"type" : 3,
"minprice" : 19800.00
}
]
}
So it basically gets all documents, all fields of documents, all items in models array, BUT only some fields of the array items in models. Please help.
You need to $project the "models" field using the $map operator.
db.collection.aggregate([
{ "$project": {
"name": 1,
"models": {
"$map": {
"input": "$models",
"as": "m",
"in": {
"type": "$$m.body.type",
"minprice": "$$m.body.minprice"
}
}
}
}}
])
$unwind is your friend
First you can basically filter the (non nested) fields you want.
var projection = {$project:{name:'$name', models:'$models'}};
db.dum.aggregate(projection)
Foreach of your models, you issue a document
var unwindModels = {$unwind:{'$models'}}
db.dum.aggregate(projection, unwindModels)
The idea is that every document issued from your models field will be regrouped later on via the _id field.
Foreach document, you only keep the (sub)fields you want
var keepSubFields = {$project:{name:'$name', type:'$models.body.type', minprice:'$models.body.minprice'}}
db.dum.aggregate(projection, unwindModels, keepSubFields)
Then you reaggregate your models as an array (thanks to the _id of each record which tracks the original record)
var aggregateModels = {$group:{_id:'$_id', name:{$last:'$name'}, models:{$push:{type:'$type', minprice:'$minprice'}}}}
db.dum.aggregate(projection, unwindModels, keepSubFields, aggregateModels)
note1: Here we can use $last because our primary key is not _id but <_id, name>. ($first would be good too)
note2: we refer type by $type, because when you iterate the collection on the aggregateModels stage, your record is of the form
<_id, name, type, minprice>
My document looks like this
{
field1: somevalue,
name:xtz
nested_documents: [ // array of nested document
{ x:"1", y:"2" }, // first nested document
{ x:"2", y:"3" }, // second nested document
{ x:"-1", y:"3" }, // second nested document
// ...many more nested documents
]
}
How one can sort the data present in nested_documents?
Expected answer is shown below:
nested_documents: [ { x:"-1", y:"3" },{ x:"1", y:"2" },{ x:"2", y:"3" }]
To do this you would have to use the aggregation framework
db.test.aggregate([{$unwind:'$nested_documents'},{$sort:{'nested_documents.x':
1}}])
this returns
"result" : [
{
"_id" : ObjectId("5139ba3dcd4e11c83f4cea12"),
"field1" : "somevalue",
"name" : "xtz",
"nested_documents" : {
"x" : "-1",
"y" : "3"
}
},
{
"_id" : ObjectId("5139ba3dcd4e11c83f4cea12"),
"field1" : "somevalue",
"name" : "xtz",
"nested_documents" : {
"x" : "1",
"y" : "2"
}
},
{
"_id" : ObjectId("5139ba3dcd4e11c83f4cea12"),
"field1" : "somevalue",
"name" : "xtz",
"nested_documents" : {
"x" : "2",
"y" : "3"
}
}
],
"ok" : 1
Hope this helps