I have a table structured as follows:
db.l2vpn_fdb_database.findOne()
{
_id: ObjectId("5f5257f11324c04122714445"),
hostname: "spine01-drt-red",
l2vpn_fdb_database: {
MAC: [
{
IfIndex: "1631",
MacAddr: "00-00-0C-07-AC-01",
SrvID: "1",
VsiName: "EVPN",
},
{
IfIndex: "0",
MacAddr: "00-00-0C-07-AC-02",
SrvID: "0",
VsiName: "EVPN",
},
{
IfIndex: "1631",
MacAddr: "00-00-0C-07-AC-0A",
SrvID: "1",
VsiName: "EVPN",
},
],
},
}
I'd like to search for "MacAddr" object, could you help me figure out based on above? So essentially I'd like to be able to parse database for a MacAddress assuming it's there and be able to get "IfIndex" for further processing.
Thank you.
You can use $filter to get matched objects
db.collection.aggregate([
{
$project: {
l2vpn_fdb_database: {
$filter: {
input: "$l2vpn_fdb_database.MAC",
cond: {
$eq: [
"$$this.IfIndex",
"1631"
]
}
}
}
}
}
])
Working Mongo playground
for Hostname with macAddr try like this,
db.collection.aggregate([
{
$project: {
l2vpn_fdb_database: {
$filter: {
input: "$l2vpn_fdb_database.MAC",
cond: {
$eq: [
"$$this.IfIndex",
"1631"
]
}
}
},
hostname:{
$eq:['$hostname','spine01-drt-red']
}
}
}
])
This query could help you.
b.l2vpn_fdb_database.findOne({
"l2vpn_fdb_database.MAC.MacAddr": "00-00-0C-07-AC-01",
},
{
"l2vpn_fdb_database.MAC.$": 1
})
The result is the same document just with 1 element in the array
Result:
{
"_id": ObjectId("5f5257f11324c04122714445"),
"l2vpn_fdb_database": {
"MAC": [
{
"IfIndex": "1631",
"MacAddr": "00-00-0C-07-AC-01",
"SrvID": "1",
"VsiName": "EVPN"
}
]
}
}
Related
As the title says, the field I need to modify is nested like this:
basicData.owners.relatedJson.basicData.devices.equipmentID
which owners and devices are both lists.
The object looks like this:
{
"basicData": {
"owners": [
{
"relatedJson": {
"basicData": {
"devices": [
{
"equipmentID": "abcd",
"type": "camera"
}
],
"otherFieldsBasicData": "other values",
"evenMoreFieldsBasicData": "other values"
},
"otherFieldsRelatedJson": "other values",
"evenMoreFieldsRelatedJson": "other values"
}
}
]
}
}
I want to rename equipmentID to equipmentId.
I've also asked this question, and I've been trying to create a query using that as a starting point, but with no success.
I was able to build a query that could get as far down as the devices list, but. then I wanted to call $set on that list, and I get an error because you can't call set inside $mergeObjects.
I thought there was some way I could use $[] to help iterate through the first array, but I can't get it to work. I think this approach is wrong.
This is what I've ended up with, which doesn't work:
db.myCollection.updateMany({"basicData.owners.relatedJson.basicData.devices.equipmentID": {$exists: true}},
[
{
$set: {
"basicData.owners$[].relatedJson.basicData.devices": {
$map: {
input: "$basicData.owners$[].relatedJson.basicData.devices", in: {
$mergeObjects: ["$$this",
{equipmentId: "$$this.equipmentID",}]
}
}
}
}
},
{
$unset: "basicData.owners.relatedJson.basicData.devices.equipmentID"
}
])
Any advice would be greatly appreciated.
Think you need two $map (with nested) operators.
First $map to iterate basicData.owners array while another $map is used to iterate relatedJson.basicData.devices array.
db.collection.updateMany({
"basicData.owners.relatedJson.basicData.devices.equipmentID": {
$exists: true
}
},
[
{
$set: {
"basicData.owners": {
$map: {
input: "$basicData.owners",
in: {
$mergeObjects: [
"$$this",
{
"relatedJson": {
$mergeObjects: [
"$$this.relatedJson",
{
"basicData": {
$mergeObjects: [
"$$this.relatedJson.basicData",
{
"devices": {
$map: {
input: "$$this.relatedJson.basicData.devices",
in: {
$mergeObjects: [
"$$this",
{
equipmentId: "$$this.equipmentID",
}
]
}
}
}
}
]
}
}
]
}
}
]
}
}
}
}
},
{
$unset: "basicData.owners.relatedJson.basicData.devices.equipmentID"
}
])
Demo # Mongo Playground
I have the following mongo db schema and I am trying to build an aggregate query that searches under github_open_issues under the repo key and can return me a match for all the values with repoA as the value. I have tried the following as my query however its not returning any result. Im a bit confused why this is not working as I have another db with a schema similar to this and this type of query works there but here something seems to be different and is not working. I have also put together this interactive example mongoplayground
query
db.collection.aggregate([
{
"$unwind": "$github_open_issues"
},
{
"$match": {
"github_open_issues.repo": {
"$in": [
"repoA"
]
}
}
},
])
schema
[
{
"github_open_issues": {
"0": {
"git_url": "https://github.com/",
"git_assignees": "None",
"git_open_date": "2019-09-26",
"git_id": 253113,
"repo": "repoA",
"git_user": "userA",
"state": "open"
},
"1": {
"git_url": "https://github.com/",
"git_assignees": "None",
"git_open_date": "2019-11-15",
"git_id": 294398,
"repo": "repoB",
"git_user": "userB",
"state": "open"
},
"2": {
"git_url": "https://github.com/",
"git_assignees": "None",
"git_open_date": "2021-04-12",
"git_id": 661208,
"repo": "repoA",
"state": "open"
}
},
"unique_label_seen": {
"568": {
"label_name": "some label",
"times_seen": 12,
"535": {
"label_name": "another label",
"times_seen": 1
}
}
}
}
]
$objectToArray convert github_open_issues object to array in key-value format
$filter to iterate loop of above converted array and filter your search condition
$match to filter github_open_issues not empty
$arrayToObject convert github_open_issues array to object
db.collection.aggregate([
{
$addFields: {
github_open_issues: {
$filter: {
input: { $objectToArray: "$github_open_issues" },
cond: { $in: ["$$this.v.repo", ["repoA"]] }
}
}
}
},
{ $match: { github_open_issues: { $ne: [] } } },
{ $addFields: { github_open_issues: { $arrayToObject: "$github_open_issues" } } }
])
Playground
You query is correct but you data in schema placed wrong inside github_open_issues.repo your objects are place by numbers like {"0": {values... }, "1":{values... }} which cannot get your desired value. You can check the playground now playground
After a few pipeline stages, I came up with following sample result which is one document. If the videos.views.userId contains 10, I need to indicate videos.isWatched = true else false. We can use $unwind, check the condition, then group it.
This is sample output, The original document contains a lot of field, so I just like to do with less code unless I need to unwind Is there any way to do without unwind("videos")?
[
{
"_id":"someId",
"videos":[
{
"_id":"1",
"name":"A",
"views":[
{
"userId":10,
"group":"X"
}
]
},
{
"_id":"2",
"name":"B",
"views":[
{
"userId":20,
"group":"Y"
}
]
}
],
"Assessment":[
{
"_id":"22",
"title": "Hello world"
}
]
}
]
Expected result
[
{
"_id":"someId",
"videos":[
{
_id:"1",
name:"A",
views:[
{
userId:10,
group:"X"
}
],
"isWatched":true
},
{
_id:"2",
name:"B",
views:[
{
userId:20,
group:"Y"
}
],
"isWatched":false
}
],
"Assessment":[
{
_id:"22",
title: "Hello world"
}
]
}
]
You can use $map along with $mergeObjects to add a new field to an existing array. $anyElementTrue can be used to determine whether there's any userId equal to 10:
db.collection.aggregate([
{
$addFields: {
videos: {
$map: {
input: "$videos",
in: {
$mergeObjects: [
"$$this",
{
isWatched: {
$anyElementTrue: {
$map: { input: "$$this.views", in: { $eq: [ "$$this.userId", 10 ] } }
}
}
}
]
}
}
}
}
}
])
Mongo Playground
I've nested JSON like this. I want to retrieve the value of "_value" in second level. i,e. "Living Organisms" This is my JSON document.
{
"name": "Biology Book",
"data": {
"toc": {
"_version": "1",
"ge": [
{
"_name": "The Fundamental Unit of Life",
"_id": "5a",
"ge": [
{
"_value": "Living Organisms",
"_id": "5b"
}
]
}
]
}
}
}
This is what I've tried, using the "_id", I want to retrieve it's "_value"
db.products.aggregate([{"$match":{ "data.toc.ge.ge._id": "5b"}}])
This is the closest I could get to the output you mentioned in the comment above. Hope it helps.
db.collection.aggregate([
{
$match: {
"data.toc.ge.ge._id": "5b"
}
},
{
$unwind: "$data.toc.ge"
},
{
$unwind: "$data.toc.ge.ge"
},
{
$group: {
_id: null,
book: {
$push: "$data.toc.ge.ge._value"
}
}
},
{
$project: {
_id: 0,
first: {
$arrayElemAt: [
"$book",
0
]
},
}
}
])
Output:
[
{
"first": "Living Organisms"
}
]
You can check what I tried here
If you are using Mongoid:
(1..6).inject(Model.where('data.toc.ge.ge._id' => '5b').pluck('data.toc.ge.ge._value').first) { |v| v.values.first rescue v.first rescue v }
# => "Living Organisms"
6 is the number of containers to trim from the output (4 hashes and 2 arrays).
If I understand your question correctly, you only care about _value, so it sounds like you might want to use a projection:
db.products.aggregate([{"$match":{ "data.toc.ge.ge._id": "5b"}}, { "$project": {"data.toc.ge.ge._value": 1}}])
I'm trying to return a specific collection, however, I want to filter an array within the collection. I'm not sure if this is possible. In the example below I'm trying to return the collection with _id: 7ARk3dc2JA8g5pamA and filter out the array object for "candidateUserId": "2". I'm doing this in a Meteorjs application.
Eg: `Collection'
{
"_id": "7ARk3dc2JA8g5pamA",
"jobTitle": "Developer",
"candidateApplication": [
{
"candidateUserId": "1",
"applied": true
},
{
"candidateUserId": "2",
"applied": false
}
]
}
Path: Publish command
return Jobs.find({ _id: 7ARk3dc2JA8g5pamA }, {
$filter: {
input: candidateApplication,
cond: { candidateUserId: { $eq: 1 } }
}
});
Jobs.find({ _id: 7ARk3dc2JA8g5pamA }, { candidateApplication: { $elemMatch: { candidateUserId: 2 } } }
This should return the document with only the _id and the candidateUserId array, but that array will now only contain the object that you want.
{ "_id" : 7ARk3dc2JA8g5pamA, "candidateApplication" : [ { "candidateUserId": 2, "applied": false } ] }
You can then get to the data with candidateApplication[0].candidateUserId and candidateApplication[0].applied
As mentioned in the comments above, if there are more instances of that same candidateUserId, only the first will be returned.