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in the two previous articles the basic aggregation function of data aggregation in MongoDB count, distinct, group > and the MapReduce of data aggregation in MongoDB >, we've provided two implementations for data aggregation, and today, in this
New appearing in the MongoDB2.2.Aggregation pipeline data aggregation framework based on conceptual modeling of data processing pipelines. The document enters a multi-stage pipeline that translates the document into aggregated results.The
MongoDB database data aggregation & amp; Pipe operations, mongodb database AggregationThe data aggregation process for pipeline operations on mongodb usually works with pipeline operations. The pipeline operation concept of mongodb is similar to the
MongoDB Study Notes-aggregation
The latest new project to use mysql has not forgotten yet. The summary records the following MongoDB aggregation.
AggregationIt refers to various operations that can process batch records and return computing results.
MongoDB: Gathering Pipeline,
It appears in MongoDB2.2.
A data aggregation framework based on data processing pipeline conceptual modeling. The document enters a multi-stage pipeline that can convert the document into clustering results.
The
/*** MongoDB $type operator*/
/*** The $type operator is based on the Bson type to retrieve the matching data type in the collection and returns the result.* The types of MongoDB that can be used are shown in the following table:* Type Number Notes*
The recent new project to use MySQL, while not yet forgotten, summarizes the following MongoDB aggregations.aggregation refers to the various operations that can handle batch records and return results. MongoDB provides rich aggregation operations
Mongodb advanced 2: mongodb aggregation and mongodb advanced AggregationIn the previous article we talked about mongodb's advanced query: http://blog.csdn.net/stronglyh/article/details/46817789
This article introduces mongodb aggregation.
I. mongodb
MongoDB query, index and aggregation, MongoDB, and index aggregation
Initialize the mongodb Database
> Use dengswitched to db deng> db. createCollection ("jingdong") # No parameter {"OK": 1}> show collectionsjingdongsystem. indexes> userdoc1 =
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