A brief introduction to 1.1 MongoDBIn today's database market, MySQL is undoubtedly a place to occupy. As an open-source relational database , MySQL is widely used in the background of major web sites, and assumes the important role of information
If you have never been familiar with MongoDB or have a little understanding of MongoDB, if you are a C # developer, take a few minutes to read this article. This article will take you step by step to get started easily. Read directory 1:
A brief introduction to 1.1 MongoDBIn today's database market, MySQL is undoubtedly a place to occupy. As an open-source relational database , MySQL is widely used in the background of major web sites, and assumes the important role of information
In the mapreduce> of data aggregation in the previous article There are three basic aggregation functions in MongoDB: count, distinct, and group. Let's take a look at these three basic aggregate functions separately.(1) CountRole: The number of
Comparison table of operations between MongoDB and MySQL and comparison table of mongodb
Comparison tables and differences between MongoDB and MySQL
MySQL and MongoDB are both open-source common databases, but MySQL is a traditional relational
0) MONGO: Connect MongoDB database via client1) Show DBS---Display the currently created database2) Use test---Create or switch databases3) Db.dropdatabase ()--Delete the current database3) Show Collections: Displays the collection created by the
This article introduced the MongoDB in the MapReduce implementation of data aggregation method, we mentioned MongoDB in the data aggregation operation of a way--mapreduce, but in most of the day-to-day use of the process, We do not need to use
http://www.mongodb.org/Agile and scalableMongoDB (from "HuMongoUs") was an Open-source document database, and the leading NoSQL database. Written in C + +, MongoDB features:
Document-oriented storage»Json-style documents with the dynamic schemas
1. Count:
Copy Code code as follows:
--In an empty collection, Count returns a number of 0.
> Db.test.count ()
0
--Test the return value of count after inserting a document.
> Db.test.insert ({"Test": 1})
> Db.test.count ()
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
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.