im using an external mongodb to get json results. I have like 1.000.000 arrays that contain this (this is 1 of those million arrays):
{
"name" : "A Bubble",
"summonerId" : NumberLong(41119375),
"region" : "euw",
"level" : NumberLong(30)
}
how do I remove the Numberlong() from the code? needs to happen for x amount of arrays. Im working with php files.
this is what i want:
{
"name" : "A Bubble",
"summonerId" : 41119375,
"region" : "euw",
"level" : 30
}
Related
I am using phalcon with mongodb. I have the following document in collection:
{
"_id" : ObjectId("547c8b6f7d30dd522b522255"),
"title" : "Test vacancy",
"slug" : "test-vacancy",
"location" : "the-netherlands",
"contract" : "fixed",
"function" : "Test vacancy",
"short_description" : "gdfsgfds",
"description" : "fdsafsdgfsdgdfa",
"promo_text" : "gfdsgdfs",
"company_name" : "gfdsgfsd",
"hits" : 36,
"updated_at" : 1.42685e+09,
}
In controller I am fetching all results by searched phase/query. For example I put example word and output will be all posts with example word in description or title or short_desc etc. Everything is correct but I want sort these posts in specific order. I mean if query will be same as title, this post should be first. Now it is somewhere below.
Can you help me? Thank you in advance.
I'm having problems updating a specific field in all the arrays of a subdocument. I have the following structure in MongoDB:
{
"_id" : ObjectId("539c9e97cac5852a1b880397"),
"DocumentoDesgloseER" : [
{
"elemento" : "COSTO VENTA",
"id_rubroer" : "11",
"id_documento" : "45087",
"abreviatura" : "CV",
"orden" : "1",
"formula" : "Cuenta Contable",
"tipo_fila" : "1",
"color" : "#FFD2E9",
"sucursal" : "D",
"documentoID" : "0",
"TOTAL" : "55426.62",
},
{ ... MORE OF THE SAME ... }
],
"id_division" : "2",
"id_empresa" : "9",
"id_sucursal" : "37",
"ejercicio" : "2008",
"lastMonthNumber" : NumberLong(6),
}
I need to update the field "documentoID" to a specific value; like "20" for example, in all the arrays of the subdocument "DocumentoDesgloseER". How I can do this?
I tried the following (with $ operator) and is not working:
$querySearch = array('id_division'=>'2', 'id_empresa'=>'9', 'id_sucursal'=>'37', 'ejercicio'=>'2008');
$queryUpdate = array('$set'=>array('DocumentoDesgloseER.$.documentoID'=>'20'));
Yii::app()->edmsMongoCollection('DocumentosDesgloseER')->update($querySearch,$queryUpdate);
By the way, I'm using Yii Framework to make the connection with Mongo. Any help or advice is welcome.
Thanks ;D!
Unfortunately, you can't currently use a positional operator to update all items in an array. There is a ticket opened in the MongoDB JIRA about this issue.
There a two "solutions":
Change your schema so that your embedded documents are in the separate collection (it's probably not what you want).
The best you can do, if you don't want to change your schema, is to update each subdocument in PHP and then save the whole document.
I'm new to the map reduce concept and even though I'm making some slow progress, I'm finding some issues that I need some help with.
I have a simple collection consisting of an id, city and and destination, something like this:
{ "_id" : "5230e7e00000000000000000", "city" : "Boston", "to" : "Chicago" },
{ "_id" : "523fe7e00000000000000000", "city" : "New York", "to" : "Miami" },
{ "_id" : "5240e1e00000000000000000", "city" : "Boston", "to" : "Miami" },
{ "_id" : "536fe4e00000000000000000", "city" : "Washington D.C.", "to" : "Boston" },
{ "_id" : "53ffe7e00000000000000000", "city" : "New York", "to" : "Boston" },
{ "_id" : "5740e1e00000000000000000", "city" : "Boston", "to" : "Miami" },
...
(Please do note that this data is just made up for example purposes)
I'd like to group by city the destinations including a count:
{ "city" : "Boston", values : [{"Chicago",1}, {"Miami",2}] }
{ "city" : "New York", values : [{"Miami",1}, {"Boston",1}] }
{ "city" : "Washington D.C.", values : [{"Boston", 1}] }
For this I'm starting to playing with this function to map:
function() {
emit(this.city, this.to);
}
which performs the expected grouping. My reduce function is this:
function(key, values) {
var reduced = {"to":[]};
for (var i in values) {
var item = values[i];
reduced.to.push(item);
}
return reduced;
}
which gives somewhat an expected output:
{ "_id" : ObjectId("522f8a9181f01e671a853adb"), "value" : { "to" : [ "Boston", "Miami" ] } }
{ "_id" : ObjectId("522f933a81f01e671a853ade"), "value" : { "to" : [ "Chicago", "Miami", "Miami" ] } }
{ "_id" : ObjectId("5231f0ed81f01e671a853ae0"), "value" : "Boston" }
As you can see, I still haven't counted the repeated cities, but as can be seen above, for some reason the last result in the output doesn't look good. I'd expected it to be
{ "_id" : ObjectId("5231f0ed81f01e671a853ae0"), "value" : { "to" : ["Boston"] } }
Has this anything to do with the fact that there is a single item? Is there any way to obtain this?
Thank you.
I see you are asking about a PHP issue, but you are using javascript to ask, so I’m assuming a javascript answer will help you move things along. As such here is the javascript needed in the shell to run your aggregation. I strong suggest getting your aggregation working in the shell(or some other javascript editor) in general and then translating it into the language of your choice. It is a lot easier to see what is going on and there faster using this method. You can then run:
use admin
db.runCommand( { setParameter: 1, logLevel: 2 } )
to check the bson output of your selected language vs what the shell looks like. This will appear in the terminal if mongo is in the foreground, otherwise you’ll have ot look in the logs.
Summing the routes in the aggregation framework [AF] with Mongo is fairly strait forward. The AF is faster and easier to use then map reduce[MR]. Though in this case they both have similar issues, simply pushing to an array won’t yield a count in and of itself (in MR you either need more logic in your reduce function or to use a finalize function).
With the AF using the example data provided this pipeline is useful:
db.agg1.aggregate([
{$group:{
_id: { city: "$city", to: "$to" },
count: { $sum: 1 }
}},
{$group: {
_id: "$_id.city",
to:{ $push: {to: "$_id.to", count: "$count"}}
}}
]);
The aggregation framework can only operate on known fields, but many pipeline operations so a problem needs to broken down with that as a consideration.
Above, the 1st stage calculates the numbers need, for which there are 3 fixed fields: the source, the destination, and the count.
The second stage has 2 fixed fields, one of which is an array, which is only being pushed to (all the data for the final form is there).
For MR you can do this:
var map = function() {
var key = {source:this.city, dest:this.to};
emit(key, 1);
};
var reduce = function(key, values) {
return Array.sum(values);
};
A separate function will have to pretty it however.
If you have any additional questions please don’t hesitate to ask.
Best,
Charlie
In mongodb, We can assign our own value to _id field and the "_id" field value may be of any type, other than arrays, so long as it is a unique -- From the docs.
But in my live database, i can see some records were duplicated as follows,
db.memberrecords.find().limit(2).forEach(printjson)
{
"_id" : "999783",
"Memberid" : "999783",
"Name" : "ASHEESH SHARMA",
"Gender" : "M",
}
{
"_id" : "999783",
"Memberid" : "999783",
"Name" : "Sanwal Singh Meena",
"Gender" : "M",
}
In above records, the same _id value inserted twice in the table. When i tested with local database it is not allowing to insert the same _id record and throwing error as follows,
E11000 duplicate key error index: mongoms.memberrecords.$_id_ dup key: { : "999783" }
Below is the Indexes for my live memberrecords table(for your reference),
db.memberrecords.getIndexes()
[
{
"name" : "_id_",
"ns" : "mongoms.memberrecords",
"key" : {
"_id" : 1
},
"v" : 0
},
{
"_id" : ObjectId("4f0bcdf2b1513267f4ac227c"),
"ns" : "mongoms.memberrecords",
"key" : {
"Memberid" : 1
},
"name" : "Memberid_1",
"unique" : true,
"v" : 0
}
]
Note: i have two sharding for this table.
Any suggestion on this please,
Is your shard key the _id field? You can only have one unique index enforced across a cluster: the shard key (otherwise the server would have to check with every shard on every insert).
So: on a single a shard, _id will be unique. However, if it isn't your shard key, all bets are off across multiple shards.
See http://www.mongodb.org/display/DOCS/Sharding+Limits#ShardingLimits-UniqueIndexesDOCS%3AIndexes%23UniqueIndexes.
ok lets say i have this collection in my tv database
"season" : "1", "episodes" : {"code" : ["1x01", "1x02", "1x03"], "title" : ["Dont Look Back", "Genesis", "Third"]},
"season" : "2", "episodes" : {"code" : ["2x01", "2x02", "2x03"], "title" : ["D2ont Look Back", "G2enesis", "T2hird"]},
"season" : "3", "episodes" : {"code" : ["3x01", "3x02", "3x03"], "title" : ["D3ont Look Back", "G3enesis", "T3hird"]},
"season" : "4", "episodes" : {"code" : ["4x01", "4x02", "4x03"], "title" : ["D4ont Look Back", "G4enesis", "T4hird"]}
how do i make it so that only, lets say the episodes from season 2 are shown?
ive been trying using
echo $obj['episodes']['code'][0];
but it only shows episodes from the last row
im pretty sure my nesting is all wrong but im new to mongo and im having trouble trying to map this out
any advice?
You need to use find() first.
$a = $coll->findOne(array('season' => '2');
That will return an array $a which will have keys 'episodes', 'title'
So once you find the document with findOne, you would then just access the data using $a['title'] or whatever fields you need