({ _id: Group, ' $_id '}, 11}}). EXEC (Deferred.makenoderesolver ()); return deferred.promise;The code above uses Q to replace callbacks in function execution. In the asynchronous programming of node. js, using Q to handle callbacks is a good choice.The following is the result of the return:/*1*/{ "Result" : [ { "_ID" : { "CellPhone": "15827577345", "Actid": ObjectId ("5694565fa50fea7705f01789") }, "UniqueIDs": [
Tags: syn max ase var = = Element Group Res Godpublic static void Onquery_qxdata (String DBName, String tablename,string layername){if (ConnectionString = = null) oncreatedb ();Modatabase = Moclient.getdatabase (DBName);var collection = modatabase.getcollection{$group: {_id:{stationid: "$stationID", StationName: "$stationName"},timedata:{$max: "$TimeData"},evalue:{$last: " $eValue "} }}var group = new Bsondocument {{"_id", New bsondocument{{"StationID", "$stationID"},{"StationName", "$stationNa
MONGO Aggregate query:Db.collection.aggregate ({$group: {_id: ' $id ',//' $_id ' represents the _id column max_value:{$max in the Reference collection: ' $times '}//' $times ' represents Refer to The Times column in the collection}, $match: {times:{$gte: 100}})Equivalent to SQL query:Select _id, Max (times) from Collectionwhere times>=100This article is from the architect's path blog, so be sure to keep this source http://lizhuquan0769.blog.51cto.com/
background by adding the background:true option when creating the index*/
/********************************************************************************************************** ***//********************************************************************************************************** ***/
/*** MongoDB Aggregation*/
/*** MongoDB Aggregation (aggregate) i
The NoSQL we use in this article is MongoDB, which is an open-source document database system with the development language C ++. It provides an efficient document-oriented storage structure.
The NoSQL we use in this article is MongoDB, which is an open-source document database system with the development language C ++. It provides an efficient document-oriented storage structure.
With the explosive gro
to the next stage $group pipeline operator for processing.
3. $skip examples
Db.article.aggregate (
{$skip: 5});
After the $skip pipe operator, the first five documents were "filtered" out.
Other people have written I do not describe too much, we can search to find more than n the same, I write my summary.Basic Knowledge
Please find out more on your own and here are the key documents.
Op
In MongoDB, there are three ways to do this, but most of the three are silly, this article is to sum up the difference between the following three ways ~
1. Polymeric Framework Aggregate Pipeline
2. MapReduce
3. Aggregation command Group,distinct,count
Aggregation framework aggregate pipeline (aggregation pipeline)
The aggreg
Mongodb Aggregate functions 1. the count function is very understandable. Like other databases, it is used to perform the count operation selectcount (*) fromtab1db. the tab1.count () and above examples are quite understandable, but if there are operations such as skip and limit in the operation, count will ignore these operations and a true parameter must be added, such as: d
Tags: agg col multi-column collect search GRE using included appsHttp://www.cnblogs.com/qq78292959/p/4440679.html
Recently has been using MongoDB, sometimes need to use statistics, on the Internet to check some information, the most suitable use is to use aggregate, the following introduction of their own use of experience. Other people have written, I do not describe too much, we can search for mor
Mongodb uses aggregate, group, and match to implement the having (count (1) (1) function in mysql.
In relational databases, group deduplication is generally set to group... Having (count (1)> 1 )... The record group is selected for the competition, and an SQL statement is executed. However, it is not so convenient in mongodb. You need to write your own scripts to
The use of aggregate helps us to further split the set in MongoDB.
Example:
Db.collection.aggregate (
{$match: {x:1}, {
limit:10},
{$group: {_id: "$age"}}
);
Operator Introduction:
$project: Include, exclude, rename, and display fields
$match: Query, requires the same parameters as find ()
$limit: Limit the number of results
$skip: Ignore number
Tags: style blog http color using filesRecently has been using MongoDB, sometimes need to use statistics, on the Internet to check some information, the most suitable use is to use aggregate, the following introduction of their own use of experience.Other people have written, I do not describe too much, we can search for more than n the same, I write my summary.Basic knowledgePlease
Java code www.2cto. commongoclient?clientnull; try {mongoclientnew?client (102.198.119.29, 27017); dbdb=client. getDB (syslog); set the Where condition Scheme ($ match, newBasicDBOb
Java code www.2cto.com using client = null for MongoDB aggregation query; try {using client = new using client (102.198.119.29, 27017); DB db = using client. getDB (syslog); // set the Where condition DBObject match = new BasicDBObject ($ match, new BasicDBOb
as a parameter to the next command. Pipeline aggregation in MongoDB is very practical, provides efficient data aggregation, and is the preferred method for data aggregation in MongoDBThe Official Chart:[ {$match: {status: ' A '}}, {$group: {_id: ' $cust _id ', total: {$sum: ' $amount '}}]Aggreagte is an array that contains multiple objects (commands) that manipulate the data in the collection by traversing the Pipleline array.$match: Query crit
Tags: MongoDB aggregateAggregate equivalent to the group in MySQL and a series of operationsOfficial website address: http://docs.mongodb.org/manual/reference/sql-aggregation-comparison/
An expression
Describe
Instance
$sum
summarizes the values defined from all the files in the collection.
db.mycol.aggregate ([{$group: {_id: "$by _user", num_tutorial: {$sum: "$likes"}}])
$avg
Tags: Post aggregate count age function CSS Body total span1. Aggregation function
Total number of queries. COUNT ()
>Db.userinfo.count ()3> Db.userinfo.Find()
{ "_id":1,"name":"Uncle Guo","Sex":"male"," Age":" the" }
{ "_id":2,"name":"Miss Guo","Sex":"male"," Age":"Unknown" }
{ "_id":3,"name":"Master Guo","Sex":"male"," Age":" -"}2. Aggregate () methodLet's insert some test data first. {
not easy to find problems, should be based on the actual situation, give a reasonable time-out.Multiple tests found that the maximum execution time was 6 seconds, and the timeout was set to 10000.Socket-timeout= "10000"//10sNote: When MongoDB is consolidating with spring, if you want to configure multiple mongdb sources, only the last The parameter configuration information should be stored in the properti
MongoDB Aggregation (aggregate) is used primarily to process data (such as statistical averages, sums, and so on) and to return computed data results. Somewhat similar to the count (*) in an SQL statement.
Aggregate () method
Methods of aggregation in MongoDB use aggregate
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