Something is wrong with '$' index for updating mongodb data - mongodb

Given a mongodb data of
{
"_id" : ObjectId("552f283dd951e49c6f2f451d"),
"uuid" : "1-2-1-b95a4040-e29d-11e4-bce8-0381ce4bc8a5",
"sub" : [
{
"prod" : 30,
"var" : 0,
"status" : "Test",
"files" : [
{
"filePath" : "20150415/2-1/21001429153881552f2859699769.82145796.jpg"
},
{
"filePath" : "20150415/2-1/21001429153880552f28589ca9a8.67013013.jpg"
}
]
},
{
"prod" : 10,
"var" : 0,
"status" : "Pending",
"files" : []
}
],
"process_marker" : 3
}
I would want to update the status of "sub.status" where "uuid" : "1-2-1-b95a4040-e29d-11e4-bce8-0381ce4bc8a5", "sub.prod":10, "sub.prod":0
Normally we'd use the "$" to modify the resulting index as seen below:
use targetDB
db.collection.update({
"uuid" : "1-2-1-b95a4040-e29d-11e4-bce8-0381ce4bc8a5",
"sub.prod":10,
"sub.var":0
},{
"$set":{"sub.$.status":"MyNewValue"}
})
==== BUT THE CODE ABOVE DOES NOT UPDATE THE CORRECT $ TARGET ====
It updates the "prod":30, "var":0 set... Why is that?
If we limit the query conditions for two key value pairs as seen below, the correct array set is updated
use targetDB
db.collection.update({
"uuid" : "1-2-1-b95a4040-e29d-11e4-bce8-0381ce4bc8a5",
"sub.prod":10
},{
"$set":{"sub.$.status":"MyNewValue"}
})
==== THE CODE ABOVE UPDATES THE CORRECT $ TARGET ====
I'm confused that a more detailed find query would result in updating the wrong array set. Is this a bug or did I do something wrong?
MongoDB version : 3.0.2

There is no bug in mongoDB, problem in your query is that you used first match "sub.prod":10 and then "sub.var":0 but in updated it takes latest value in your case "sub.var":0 takes and match first matching array where "sub.var":0 that why it updated only "prod" : 30 array element. More ref. click here.
In this case you should use mongo $elemMatch with $and conditions as below
db.collectionName.update({
"uuid": "1-2-1-b95a4040-e29d-11e4-bce8-0381ce4bc8a5",
"sub": {
"$elemMatch": {
"$and": [{
"prod": 10
}, {
"var": 0
}]
}
}
}, {
"$set": {
"sub.$.status": "MyNewValue"
}
})

Related

How to remove an element from inner array of nested array pymongo using $ pull

Here is my news document structure
{
"_id" : ObjectId("5bff0903bd9a221229c7c9b2"),
"title" : "Test Page",
"desc" : "efdfr",
"mediaset_list" : [
{
"_id" : ObjectId("5bfeff94bd9a221229c7c9ae"),
"medias" : [
{
"_id" : ObjectId("5bfeff83bd9a221229c7c9ac"),
"file_type" : "png",
"file" : "https://aws.com/gg.jpg",
"file_name" : "edf.jpg"
},
{
"_id" : ObjectId("5bfeff83bd9a221229c7c9ad"),
"file_type" : "mov",
"file" : "https://aws.com/gg.mov",
"file_name" : "abcd.mov"
}
]
}
]}
The queries that i've tried are given below
Approach 1
db.news.find_and_modify({},{'$pull': {"mediaset_list": {"medias": {"$elemMatch" : {"_id": ObjectId('5bfeff83bd9a221229c7c9ac')}} }}})
Approach 2
db.news.update({},{'$pull': {"mediaset_list.$.medias": {"_id": ObjectId('5bfeff83bd9a221229c7c9ac')}} })
Issue we are facing
The above queries are removing entire elements inside 'mediaset_list' . But i only want to remove the element inside 'medias' matching object ID.
Since you have two nested arrays you have to use arrayFilters to indicate which element of outer array should be modified, try:
db.news.update({ _id: ObjectId("5bff0903bd9a221229c7c9b2") },
{ $pull: { "mediaset_list.$[item].medias": { _id: ObjectId("5bfeff83bd9a221229c7c9ad") } } },
{ arrayFilters: [ { "item._id": ObjectId("5bfeff94bd9a221229c7c9ae") } ] })
So item is used here as a placeholder which will be used by MongoDB to determine which element of mediaset_list needs to be modified and the condition for this placeholder is defined inside arrayFilters. Then you can use $pull and specify another condition for inner array to determine which element should be removed.
From #micki's mongo shell query (Answer above) , This is the pymongo syntax which will update all news document with that media id .
db.news.update_many({},
{
"$pull":
{ "mediaset_list.$[item].medias": { "_id": ObjectId("5bfeff83bd9a221229c7c9ad") } } ,
},
array_filters=[{ "item._id": ObjectId("5bfeff94bd9a221229c7c9ae")}],
upsert=True)

mongoDB: Querying for documents that may have some specifics options

I'm quite new to mongodb and there is one thing I can't solve right now:
Let's pretend, you have the following document structure:
{
"_id": ObjectId("some object id"),
name: "valueName",
options: [
{idOption: "optionId", name: "optionName"},
{idOption: "optionId", name: "optionName"}
]
}
And each document can have multiples options that are already classified.
I'm trying to get all the documents in the collection that have, at least one, of the multiples options that I pass for the query.
I was trying with the operator $elemMatch something like this:
db.collectioName.find({"options.name": { $elemMatch: {"optName1","optName2"}}})
but it never show me the matches documents.
Can someone help and show me, what I'm doing wrong?
Thanks!
Given a collection which contains the following documents:
{
"_id" : ObjectId("5a023b8d027b5bd06add627a"),
"name" : "valueName",
"options" : [
{
"idOption" : "optionId",
"name" : "optName1"
},
{
"idOption" : "optionId",
"name" : "optName2"
}
]
}
{
"_id" : ObjectId("5a023b9e027b5bd06add627d"),
"name" : "valueName",
"options" : [
{
"idOption" : "optionId",
"name" : "optName3"
},
{
"idOption" : "optionId",
"name" : "optName4"
}
]
}
This query ...
db.collection.find({"options": { $elemMatch: {"name": {"$in": ["optName1"]}}}})
.. will return the first document only.
While, this query ...
db.collection.find({"options": { $elemMatch: {"name": {"$in": ["optName1", "optName3"]}}}})
...will return both documents.
The second example (I think) meeets this requirement:
I'm trying to get all the documents in the collection that have, at least one, of the multiples options that I pass for the query.

Retrieving value of an emedded object in mongo

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"
}
]

Mongodb Update/Upsert array exact match

I have a collection :
gStats : {
"_id" : "id1",
"criteria" : ["key1":"value1", "key2":"value2"],
"groups" : [
{"id":"XXXX", "visited":100, "liked":200},
{"id":"YYYY", "visited":30, "liked":400}
]
}
I want to be able to update a document of the stats Array of a given array of criteria (exact match).
I try to do this on 2 steps :
Pull the stat document from the array of a given "id" :
db.gStats.update({
"criteria" : {$size : 2},
"criteria" : {$all : [{"key1" : "2096955"},{"value1" : "2015610"}]}
},
{
$pull : {groups : {"id" : "XXXX"}}
}
)
Push the new document
db.gStats.findAndModify({
query : {
"criteria" : {$size : 2},
"criteria" : {$all : [{"key1" : "2015610"}, {"key2" : "2096955"}]}
},
update : {
$push : {groups : {"id" : "XXXX", "visited" : 29, "liked" : 144}}
},
upsert : true
})
The Pull query works perfect.
The Push query gives an error :
2014-12-13T15:12:58.571+0100 findAndModifyFailed failed: {
"value" : null,
"errmsg" : "exception: Cannot create base during insert of update. Cause
d by :ConflictingUpdateOperators Cannot update 'criteria' and 'criteria' at the
same time",
"code" : 12,
"ok" : 0
} at src/mongo/shell/collection.js:614
Neither query is working in reality. You cannot use a key name like "criteria" more than once unless under an operator such and $and. You are also specifying different fields (i.e groups) and querying elements that do not exist in your sample document.
So hard to tell what you really want to do here. But the error is essentially caused by the first issue I mentioned, with a little something extra. So really your { "$size": 2 } condition is being ignored and only the second condition is applied.
A valid query form should look like this:
query: {
"$and": [
{ "criteria" : { "$size" : 2 } },
{ "criteria" : { "$all": [{ "key1": "2015610" }, { "key2": "2096955" }] } }
]
}
As each set of conditions is specified within the array provided by $and the document structure of the query is valid and does not have a hash-key name overwriting the other. That's the proper way to write your two conditions, but there is a trick to making this work where the "upsert" is failing due to those conditions not matching a document. We need to overwrite what is happening when it tries to apply the $all arguments on creation:
update: {
"$setOnInsert": {
"criteria" : [{ "key1": "2015610" }, { "key2": "2096955" }]
},
"$push": { "stats": { "id": "XXXX", "visited": 29, "liked": 144 } }
}
That uses $setOnInsert so that when the "upsert" is applied and a new document created the conditions specified here rather than using the field values set in the query portion of the statement are used instead.
Of course, if what you are really looking for is truly an exact match of the content in the array, then just use that for the query instead:
query: {
"criteria" : [{ "key1": "2015610" }, { "key2": "2096955" }]
}
Then MongoDB will be happy to apply those values when a new document is created and does not get confused on how to interpret the $all expression.

MongoDB - Update or Create an object in nested Array in Pymongo

This is my collection
{
"_id" : '50001',
"data" :
[
{
"name" : "ram",
"grade" : 'A'
},
{
"name" : "jango",
"grade" : 'B'
},
{
"name" : "remo",
"grade" : 'A'
}
]
}
Here I want to update the object corresponds to "name": "jango" and have to create a new entry to the Array if "jango" is absent.
I can create a new entry but failed in "create or update".
I tried this way in mongo interpreter
db.MyCollection.update({'_id': '50001', "data.name" :"jango"}, {'$set':{'data': {'data.$.grade':'A'}}}, upsert=true)
but showing
not okForStorage
Mongo nested update so you should know the position or $ of update values below may help
db.collecionName.update(
{'_id': '50001', "data.name" :"jango"},
{'$set':{'data.1.grade':'A'}}, upsert=true)
or
db.collecionName.update(
{'_id': '50001', "data.name" :"jango"},
{'$set':{'data.$.grade':'A'}}, upsert=true)
You almost there:
db.YourCollection.update(
{ '_id':'50001', <-- to find document
'data.name': 'jango' < -- to find element of the array
},
{ '$set': { "data.$.grade" : 'A' } } <-- with .$ you reference array element from first argument
)
Link to documentation