I have a Mongo collection the consists of a document and a nested object describing what collections the document is in and when it was added. I would like to remove key-value pairs from a nested object based on a condition, e.g. is the value (a date) before 1-1-2016.
Example:
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : {
"c01" : ISODate("2016-10-27T15:52:04.512Z"),
"c02" : ISODate("2015-11-21T16:06:06.546Z")
}
}
needs to become
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : {
"c01" : ISODate("2016-10-27T15:52:04.512Z"),
}
}
One alternative would be to change the schema to something like this:
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : [
{
"id": "c01",
"date": ISODate("2016-10-27T15:52:04.512Z")
},
{
"id": "c02",
"date" : ISODate("2015-11-21T16:06:06.546Z")
}
]
}
in which case removing a document from a would be easy. I am a bit reluctant to do that because it would complicate some of the other queries I would like to support. Thanks!
I prefer the second structure for your schema
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : [
{
"id": "c01",
"date": ISODate("2016-10-27T15:52:04.512Z")
},
{
"id": "c02",
"date" : ISODate("2015-11-21T16:06:06.546Z")
}
]
}
then able to remove from collections like this
db.collectionName.update(
{ },// if you want can add query for specific Id {"_id" : requestId},
{ $pull: { collections: { date: {$lt: yourDate} } } }, // if need can convert iso date string like: new Date(yourDate).toISOString()
{ multi: true }
)
Related
I have been trying to update an Object for this collection. Below is the collection. Looking for Server 3.6 version.
Here The ask is Need to update the class name from "HISTORY" to " HISTORY_NEW". Need to do, for some students in the class. Need a query that will select all student records in student collection with "HISTORY" class in it and update them to "HISTORY_NEW ". I have around 30,000 records and not getting a bulk update method.
{
"_id" : ObjectId("611f90aa43f77a728879c395"),
"studentId" : "stu1",
"classes" : {
"History" : {
"TeacherName" : "T1",
"Marks" : [
{
"Internal": 15
}
]
},
"Geography" : {
"TeacherName" : "T2",
"Marks" : [
{
"Internal" : 20
}
]
}
},
"updateDate" : ISODate("2021-10-12T11:40:47.156Z")
}
This is the result I am expecting
{
"_id" : ObjectId("611f90aa43f77a728879c395"),
"studentId" : "stu1",
"classes" : {
"HISTORY_NEW" : {
"TeacherName" : "T1",
"Marks" : [
{
"Internal": 15
}
]
},
"Geography" : {
"TeacherName" : "T2",
"Marks" : [
{
"Internal" : 20
}
]
}
},
"updateDate" : ISODate("2021-10-12T11:40:47.156Z")
}
.Or is that even possible with the kind of collection above or going via code route?
So far this is what I have, without any success.
Get all students' Ids and then update the Class name. But that is also not working and don't think it is smart to update DB 30,000 times.
var studentIds =[];
db.studentSubject.find({"classes.History":{$exists:true}})
.forEach(function(u) { studentIds.push(u.studentId) })
studentIds.forEach(function(studentId) {
var result;
try {
result =db.studentSubject.updateOne(
{studentId:studentId},
{ $set : {"classes.History": "HISTORY_NEW",}},
{ upsert: false});
} catch (e) {
print(e);
}
});
From your scenario, you need $rename operator.
As discussed in the comment, you don't need to fetch each document to get studentId and then pass it to update each document. Just bulk update by checking the document has classes.History field.
db.collection.update({
"classes.History": {
$exists: true
}
},
{
$rename: {
"classes.History": "classes.HISTORY_NEW"
}
},
{
upsert: false,
multi: true
})
Sample Mongo Playground
I have a Meteor Mongo document as shown below
{
"_id" : "zFndWBZTvZPgSKXHP",
"activityId" : "aRDABihAYFoAW7jbC",
"activityTitle" : "Test Mongo Document",
"users" : [
{
"id" : "b1#gmail.com",
"type" : "free"
},
{
"id" : "JqKvymryNaCjjKrAR",
"type" : "free"
},
],
}
I want to update a specific array element's email with custom generated id using Meteor query something like the below.
for instance, I want to update the document
if 'users.id' == "b1#gmail.com" then update it to users.id = 'SomeIDXXX'
So updated document should looks like below.
{
"_id" : "zFndWBZTvZPgSKXHP",
"activityId" : "aRDABihAYFoAW7jbC",
"activityTitle" : "Test Mongo Document",
"users" : [
{
"id" : "SomeIDXXX",
"type" : "free"
},
{
"id" : "JqKvymryNaCjjKrAR",
"type" : "free"
},
],
}
I have tried the below but didnt work.
Divisions.update(
{ activityId: activityId, "users.id": emailId },
{ $set: { "users": { id: _id } } }
);
Can someone help me with the relevant Meteor query ? Thanks !
Your query is actually almost right except for a small part where we want to identify the element to be updated by its index.
Divisions.update({
"activityId": "aRDABihAYFoAW7jbC",
"users.id": "b1#gmail.com"
}, {
$set: {"users.$.id": "b2#gmail.com"}
})
You might need the arrayFilters option.
Divisions.update(
{ activityId: activityId },
{ $set: { "users.$[elem].id": "SomeIDXXX" } },
{ arrayFilters: [ { "elem.id": "b1#gmail.com" } ], multi: true }
);
https://docs.mongodb.com/manual/reference/operator/update/positional-filtered/
You need to use the $push operator instead of $set.
{ $push: { <field1>: <value1>, ... } }
Followup Question
Thanks #4J41 for your spot on resolution. Along the same lines, I'd also like to validate one other thing.
I have a mongo document that contains an array of Strings, and I need to convert this particular array of strings into an array of object containing a key-value pair. Below is my curent appraoch to it.
Mongo Record:
Same mongo record in my initial question below.
Current Query:
templateAttributes.find({platform:"V1"}).map(function(c){
//instantiate a new array
var optionsArray = [];
for (var i=0;i< c['available']['Community']['attributes']['type']['values'].length; i++){
optionsArray[i] = {}; // creates a new object
optionsArray[i].label = c['available']['Community']['attributes']['type']['values'][i];
optionsArray[i].value = c['available']['Community']['attributes']['type']['values'][i];
}
return optionsArray;
})[0];
Result:
[{label:"well-known", value:"well-known"},
{label:"simple", value:"simple"},
{label:"complex", value:"complex"}]
Is my approach efficient enough, or is there a way to optimize the above query to get the same desired result?
Initial Question
I have a mongo document like below:
{
"_id" : ObjectId("57e3720836e36f63695a2ef2"),
"platform" : "A1",
"available" : {
"Community" : {
"attributes" : {
"type" : {
"values" : [
"well-known",
"simple",
"complex"
],
"defaultValue" : "well-known"
},
[......]
}
I'm trying to query the DB and retrieve only the value of defaultValue field.
I tried:
db.templateAttributes.find(
{ platform: "A1" },
{ "available.Community.attributes.type.defaultValue": 1 }
)
as well as
db.templateAttributes.findOne(
{ platform: "A1" },
{ "available.Community.attributes.type.defaultValue": 1 }
)
But they both seem to retrieve the entire object hirarchy like below:
{
"_id" : ObjectId("57e3720836e36f63695a2ef2"),
"available" : {
"Community" : {
"attributes" : {
"type" : {
"defaultValue" : "well-known"
}
}
}
}
}
The only way I could get it to work was with find and map function, but it seems to be convoluted a bit.
Does anyone have a simpler way to get this result?
db.templateAttributes.find(
{ platform: "A1" },
{ "available.Community.attributes.type.defaultValue": 1 }
).map(function(c){
return c['available']['Community']['attributes']['type']['defaultValue']
})[0]
Output
well-known
You could try the following.
Using find:
db.templateAttributes.find({ platform: "A1" }, { "available.Community.attributes.type.defaultValue": 1 }).toArray()[0]['available']['Community']['attributes']['type']['defaultValue']
Using findOne:
db.templateAttributes.findOne({ platform: "A1" }, { "available.Community.attributes.type.defaultValue": 1 })['available']['Community']['attributes']['type']['defaultValue']
Using aggregation:
db.templateAttributes.aggregate([
{"$match":{platform:"A1"}},
{"$project": {_id:0, default:"$available.Community.attributes.type.defaultValue"}}
]).toArray()[0].default
Output:
well-known
Edit: Answering the updated question: Please use aggregation here.
db.templateAttributes.aggregate([
{"$match":{platform:"A1"}}, {"$unwind": "$available.Community.attributes.type.values"},
{$group: {"_id": null, "val":{"$push":{label:"$available.Community.attributes.type.values",
value:"$available.Community.attributes.type.values"}}}}
]).toArray()[0].val
Output:
[
{
"label" : "well-known",
"value" : "well-known"
},
{
"label" : "simple",
"value" : "simple"
},
{
"label" : "complex",
"value" : "complex"
}
]
In MongoDB, I'm trying to write a query to add elements from an array to an existing document, but instead of adding the elements as objects:
property: ObjectID(xxx)
the elements are getting added as just
ObjectID(xxx)
Forgive me if I get the terminology wrong. I'm completely new to MongoDB; I normally only work with relational databases. How do I properly add these new elements?
I have a collection called auctions which has two fields: ID and properties. Properties is an array of objects named property. Here's an example with two auction documents:
** I changed the object IDs to make them easier to reference in our discussion
Collection db.auctions
{
"_id" : ObjectId("abc"),
"properties" : [
{
"property" : ObjectId("prop1")
},
{
"property" : ObjectId("prop2")
},
{
"property" : ObjectId("prop3")
}]
}
{
"_id" : ObjectId("def"),
"properties" : [
{
"property" : ObjectId("prop97")
},
{
"property" : ObjectId("prop98")
}]
}
I want to add 3 new properties to auction "abc". How do I do this?
Here's is what I tried:
I have an array of properties that looks like this:
Array PropsToAdd
[
ObjectId("prop4"),
ObjectId("prop5"),
ObjectId("prop6")
]
I wrote an update query to push these properties into the properties array in auctions:
db.auctions.update(
{"_id": "abc"}
,
{ $push: { properties: { $each: PropsToAdd } } }
);
This query gave the result below. Notice that instead of adding elements named property with a value from my array, it's just added my values from my array. I obviously need to add that "property" part, but how do I do that?
Collection db.auctions (_id "abc" only)
{
"_id" : ObjectId("abc"),
"properties" : [
{
"property" : ObjectId("prop1")
},
{
"property" : ObjectId("prop2")
},
{
"property" : ObjectId("prop3")
},
ObjectId("prop4"),
ObjectId("prop5"),
ObjectId("prop6"),
ObjectId("prop7")]
}
The result I'm looking for is this:
Collection db.auctions (_id "abc" only)
{
"_id" : ObjectId("abc"),
"properties" : [
{
"property" : ObjectId("prop1")
},
{
"property" : ObjectId("prop2")
},
{
"property" : ObjectId("prop3")
},
{
"property" : ObjectId("prop4")
},
{
"property" : ObjectId("prop5")
},
{
"property" : ObjectId("prop6")
}
}
Here is some further information on that array of properties I'm adding. I get it from running these queries. Perhaps one of them needs changed?
This query gets an array of current properties:
var oldActiveProperties = db.properties.distinct( "saleNumber", { "active": true, "auction": ObjectId("abc") } );
Then those results are used to find properties in the new file that weren't in the old file:
var PropsToAdd = db.newProperties.distinct(
"_id"
, { "saleNumber": { "$nin": oldActiveProperties }, "active": true}
);
The resulting array is what I need to add to the auctions collection.
Use the JavaScript's native map() method to map the array into an array of documents. The following shows this:
var PropsToAdd = db.newProperties.distinct("_id",
{ "saleNumber": { "$nin": oldActiveProperties }, "active": true}
).map(function (p) { return { property: p }; });
db.auctions.update(
{"_id": "abc"},
{ $push: { "properties": { "$each": PropsToAdd } } }
);
There are 200 documents in school db. I must remove each document which has "type":"homework" and the lowest score.
{
"_id" : 0,
"name" : "aimee Zank",
"scores" :
[
{
"type" : "exam",
"score" : 1.463179736705023
},
{
"type" : "quiz",
"score" : 11.78273309957772
},
{
"type" : "homework",
"score" : 6.676176060654615
},
{
"type" : "homework",
"score" : 35.8740349954354
}
]
}
For example,here
{
"type" : "homework",
"score" : 6.676176060654615
}
must be removed as score = 6.6 < 35.8
I sorted all the documents like this:
db.students.find({"scores.type":"homework"}).sort({"scores.score":1})
But I do not know how then to remove the doc having the lowest score and type:homework???
NOTE: how to solve it by not using aggregation method? E.g., by sorting and then updating.
This can be done in a couple of steps. The first step is to grab a list of the documents with the minimum score by using the aggregation framework with $match, $unwind and $group operators that streamlines your documents to find the minimum score for each document:
lowest_scores_docs = db.school.aggregate([
{ "$match": {"scores.type": "homework"} },
{ "$unwind": "$scores" }, { "$match": {"scores.type": "homework"} },
{ "$group": { "_id":"$_id", "lowest_score": {"$min": "$scores.score" } } } ] )
The second step is to loop through the dictionary above and use the $pull operator in the update query to remove the element from the array as follows:
for result in lowest_scores_docs["result"]:
db.school.update({ "_id": result["_id"] },
{ "$pull": { "scores": { "score": result["lowest_score"] } } } )
import pymongo
import sys
# connnecto to the db on standard port
connection = pymongo.MongoClient("mongodb://localhost")
db = connection.school # attach to db
students = db.students # specify the colllection
try:
cursor = students.find({})
print(type(cursor))
for doc in cursor:
hw_scores = []
for item in doc["scores"]:
if item["type"] == "homework":
hw_scores.append(item["score"])
hw_scores.sort()
hw_min = hw_scores[0]
#students.update({"_id": doc["_id"]},
# {"$pull":{"scores":{"score":hw_min}}})
except:
print ("Error trying to read collection:" + sys.exc_info()[0])