mongodb-query

问题 I have the following schema: var userSchema = new Schema({ userID: Number, userName: String, userEmail: String, teams:Array, socialMedias: { fbUID: String, googleUID: String, twitter: String } }); First, How can I add an empty array? Is it right the way I am doing in the following? teams:{}, Second, I am trying to do a query using Mongoose in my Node.js but I am getting an error in the dot ('.'): This is my document I am saving: var user = new users({ userID: id, //give the id of the next

问题 I am trying to find unique words in millions of tweets and also I want to keep where each word appears. In addition to that, I am also grouping the words by their initial. Here is a sample code: from pymongo import UpdateOne # connect to db stuff for word in words: # this is actually not the real loop I've used but it fits for this example # assume tweet_id's and position is calculated here initial = word[0] ret = {"tweet_id": tweet_id, "pos": (beg, end)} # additional information about word

问题 I have a collection in mongodb like this format : "_id" : ObjectId("542d5256372943d9e000fc42"), "_class" : "com.bedas.ays.mongo.dto.AboneAriza", "AdSoyad" : "AKIN COBAN", "aimid" : 100009, "CepTelefon" : "5332234401", "Telefon" : "0", "fiderid" : 101383, "kofrano" : NumberLong(444454), "tcNo" : "26402622688", "tmno" : { "trafoNo" : 21649, "trafoname" : "21450 BÜYÜKŞEHİR FİDERİ-->21646 BEYKOP 2.BÖLGE" }, "ilce" : { "ilceUavt" : 2051, "ilcename" : "BEYLİKDÜZÜ" }, "mahalle" : { "mahalleUavt" :

问题 I've a collection with below documents: { "_id" : ObjectId("54acfb67a81bf9509246ed81"), "Billno" : 1234, "details" : [ { "itemcode" : 12, "itemname" : "Paste100g", "qty" : 2, "price" : 50 }, { "itemcode" : 14, "itemname" : "Paste30g", "qty" : 4, "price" : 70 }, { "itemcode" : 12, "itemname" : "Paste100g", "qty" : 4, "price" : 100 } ] } { "_id" : ObjectId("54acff86a81bf9509246ed82"), "Billno" : 1237, "details" : [ { "itemcode" : 12, "itemname" : "Paste100g", "qty" : 3, "price" : 75 }, {

问题 This question already has answers here : How do I perform the SQL Join equivalent in MongoDB? (19 answers) Closed 9 months ago . I am new to Mongo! Please help me how to do left join in Mongo Sql Statement : Select * from TableA left Join TableB on (TableA.col1 = TableB.col1 AND TableB.col2 = "ABC") Please provide me the equivalent Mongo Query!!! Thanks In Advance ! 回答1: As of Mongo 3.2, you can do the equivalent to a left outer join with the new $lookup operator added to the aggregation

问题 I have data in worksheets collection like below: /* 1 */ { "_id" : ObjectId("5c21d780f82aa31334ab6506"), "isBilling" : true, "hours" : 6, "userId" : ObjectId("5c1f38a1d7537d1444738467"), "projectId": ObjectId("5c1f38a1d7537d1444731234"); } /* 2 */ { "_id" : ObjectId("5c21d780f82aa31334ab6507"), "isBilling" : true, "hours" : 4, "userId" : ObjectId("5c1f38a1d7537d1444738493"), "projectId": ObjectId("5c1f38a1d7537d1444734567"); } /* 3 */ { "_id" : ObjectId("5c21e10fae07cc1204a5b647"), "isBilling

问题 I'm running a $geoNear query on my sharded cluster (6 nodes with 3 replica sets each of 2 shardsvr and 1 arbiter). I expect the query to return 1.1m documents. I am recieving only ~130.xxx documents. I am using the Java driver to issue the query and process the data (for now, I'm just counting the documents that get returned). I am using MongoDB 3.2.9 and the latest java driver. The mongod log shows the following error which is caused by the output document getting larger than 16MB: 2016-10

问题 I have an issue when I try to aggregate results with a geospatial condition : db.users.group({ reduce: function(obj, prev) { prev.sums = { y_levels: prev.sums.y_levels + obj.current_y_level, x_levels: prev.sums.x_levels + obj.current_x_level, count: prev.sums.count + 1 } }, cond: {current_position: { $near: [56.553823, 8.565619, 10]}}, initial: { sums: { y_levels: 0, x_levels: 0, count: 0 } } }); produces : uncaught exception: group command failed: { "errmsg" : "exception: manual matcher

问题 I have documents similar to this stored in mongodb { "_id":"transaction_id" "customer":"some customer", "order_date":Date('2011-01-01'), "delivery_date":Date('2011-01-15'), "amt":500.0, "qty":50 }, { "_id":"transaction_id" "customer":"some customer", "order_date":Date('2011-01-01'), "delivery_date":Date('2011-02-04'), "amt":500.0, "qty":50 } I am looking to do some aggregation for order date and delivery date to plot the total quantity of inventory being ordered and delivered to each customer

问题 I imported some sort-of sloppy XML data into a Mongo database. Each Document has nested sub-documents to a depth of around 5-10. I would like to find() documents that have a particular value of a particular field, where the field may appear at any depth in the sub-documents (and may appear multiple times). I am currently pulling each Document into Python and then searching that dictionary, but it would be nice if I could state a filter prototype where the database would only return documents