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Mongo script to update an object if its a certain value

I am trying to update a document in Mongo if it has a certain value within a field.
{
"_id" : ObjectId("myObject"),
"source" : "BW",
"sourceTableName" : "myTable",
"tableName" : "tier",
"type" : "main",
"fieldMappings" : [
{
"sourceField" : "tier_id", <~~~~ If this is "tier_id", I want to change it to "trmls_id"
"reportingField" : "bw_id",
"type" : "integer",
"defaultMap" : {
"shouldErrorOnConvert" : false
}
}
]
}
I tried something like
db.getCollection('entityMap').update({"sourceTableName":"myTable"}, {"fieldMappings.0.sourceField":"trmls_id":{$exists : true}}, { $set: { "fieldMappings.0.sourceField": "tier_id" } })
and I think it is failing on the $exists parameter I am setting.
Is there a more cleaner/dynamic way to do this?
The whole query I am trying to formulate is
In the table myTable
I want to check if there is a sourceField that has the value tier_id
If there is tier_id, then change it to trmls_id
Otherwise do nothing
If there is a similar StackOverflow question that answers this, I am happy to explore it! Thanks!

There is a syntax mistake and you can use positional operator $ in update part because you have already selector field in query part,
db.getCollection('entityMap').update(
{
"sourceTableName": "myTable",
"fieldMappings.sourceField": "tier_id" // if this field found then it will go to update part
},
{
$set: {
"fieldMappings.$.sourceField": "trmls_id"
}
}
)

Sending the result of a mongoDB view to another collection ( INSERT....SELECT from SQL )

I could create a big query, and turn it into a view. Let's call it DBA_VIEW.
db.DBA_VIEW.find()
I'm using noSQLbooster to interact with mongodb and I'm trying to insert the result of this view into another collection.
I don't want to "right click > export" because I need to do this via noSQLbooster itself.
I've seen some querie sthat can do the trick, but, as a SQL SERVER dba, I think I can't get the logic behind, let's say, this one below:
db.full_set.find({date:"20120105"}).forEach(function(doc){
db.subset.insert(doc);
});
how can I use such approach to do my taks?
I just need the result of that view from a collection, to be inserted in another collection, then after this we are going to export the data into a .json file or even a .TXT.

You can design the query in the following way so that the output is directly inserted in a new collection('subset' in this example) without iterating through the result set.
db.full_set.aggregate([
{
$match:{
"date":"20120105"
}
},
{
$out:"subset"
}
])
If 'full_set' has the following documents:
{
"_id" : ObjectId("5d423675bd542251420b6b8e"),
"date" : "20130105",
"name" : "Mechanic1"
}
{
"_id" : ObjectId("5d423675bd542251420b6b8f"),
"date" : "20120105",
"name" : "Mechanic2"
}
{
"_id" : ObjectId("5d423675bd542251420b6b90"),
"date" : "20120105",
"name" : "Mechanic3"
}
With the above query, the 'subset' collection would be having the following documents:
{
"_id" : ObjectId("5d423675bd542251420b6b8f"),
"date" : "20120105",
"name" : "Mechanic2"
}
{
"_id" : ObjectId("5d423675bd542251420b6b90"),
"date" : "20120105",
"name" : "Mechanic3"
}

MongoDB and Mongoose: How to retrieve nested Object

I have the following documents in my mongodb collection:
{
"current" :
{
"aksd" : "5555",
"BullevardBoh" : "123"
},
"history" :
{ "1" : {
"deleted" : false,
"added" : false,
"date" : "21-08-2014"
}
},
{ "2" : {
"deleted" : false,
"added" : false,
"date" : "01-01-2013"
}
},
"_id" : ObjectId("53f74dad2cbfdc136a07bf16"),
"__v" : 0
}
I have multiple of these documents. Now I want to achieve two things with my Mongoose/Express API.
Query for all nested "current" in each document and retrieve them as JSON objects like such: {"aksd":"5555","BullevardBoh":"123"},{..},{..}.
Retrieve all history revisions (1,2...) where "date" is smaller than a given date.
As you can clearly see this is a kind of versioning I am trying to implement. I would also be interested if this kind of data structure will get indexed by MongoDB and if there is possibly a better way. (e.g. with arrays inside objects?)
This isn't working in MongoDB:
db.ips.findOne({current.aksd: {$exists:true}});

I think the quotes around the field are missing here:
db.ips.findOne({current.aksd: {$exists:true}});
This should work instead:
db.ips.findOne({"current.aksd": {$exists:true}});

While Ritesh's reply was a step in the right direction, I rather wanted to fetch the current object literal and its members inside the document not the whole document.
1.) Query for all nested "current" in each document
db.ips.find({"current":{$exists:true}}, {"current":1});
This is giving back all nested documents where the aksd literal is present:
{ "current" : { "aksd" : "5555", "BullevardBoh" : "123" }, "_id" : ObjectId("53f74dad2cb3dc136a07bf16") }
...
2.) Retrieving history revisions where date is smaller then a given date:
db.ips.find({"history.date": {$lt: "01-01-2014"}},{history:{$elemMatch:{date: {$lt:"01-01-2014"}}}});
Giving back the wanted nested date literal(s):
{ "historie" : [ { "date" : "01-01-2013", "added" : false, "deleted" : false } ], "_id" : ObjectId("53faf20f399a954b2b7736b6") }

Mongo query in nested fields

I have a DB which has records with nested fields like :
"requestParams" : { "query" : [ "tv9" ] }
I am using the following query to fetch these kind of records. However I am looking for a more general case wherein the field query matches /tv9/ which includes tv9 as part of any search. Like it should also return livetv9, movietv9, etc. Following query does not seem to work:
db.requestLog.findOne({url : /search.json/, requestParams: {$elemMatch: {query: /tv9/}}})

$elemMatch is used to match partial document elements inside an array. Since you want to directly match on a string the use of this operator is inappropriate. Use this instead :
db.requestLog.findOne({url : /search.json/, 'requestParams.query': /tv9/})
Example :
mongos> db.test.save({r:{q:["tv9"]}})
mongos> db.test.save({r:{q:["tv"]}})
mongos> db.test.save({r:{q:["ltv9l"]}})
mongos> db.test.find({'r.q':/tv9/})
{ "_id" : ObjectId("4f5095d4ec991a74c16ba862"), "r" : { "q" : [ "tv9" ] } }
{ "_id" : ObjectId("4f5095deec991a74c16ba864"), "r" : { "q" : [ "ltv9l" ] } }

searching for nested elements in mongodb, using api nodejs

At this moment I have in Node.JS API written a function
Board.find({ users : req.user._id})
It will find all documents where is id of user inside of array users,
for example
So this function will find this document.
{
"_id" : ObjectId("5a7f4b46f489dd236410d88a"),
"name" : "first",
"users" : [
ObjectId("5a1db9e8db97d318ac70715d")
]
}
What If I will change array of users in document for array objects id
{
"_id" : ObjectId("5a7f4b46f489dd236410d77c"),
"name" : "second",
"users" : [
{ _id : ObjectId("5a1db9e8db97d318ac70715d") }
]
}
How to find now this document in this situation, using only req.user._id which is saved inside object of users[]?
we can find it somehow now or not??

You just need to change it as : Board.find({ 'users._id' : req.user._id})

You could also use:
db.collection_name.find( { "user": { "_id" : req.user._id } } )