mongodb collection size

This is a creation in Article, where the information may have evolved or changed. This article from: HTTP://WWW.OPEN-OPEN.COM/LIB/VIEW/OPEN1427078982824.HTML#_LABEL3 For more information, see official website:

mongodb-sharding Deployment ScenariosFirst, Deployment Environment Five hosts: amongoshard01:10.212.74.43 amongoshard02:10.212.84.4 amongoshard03:10.212.98.23 amongoshard04:10.212.46.5 amongoshard05:10.212.

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About MongoDB Mongdb is a cross-platform, document-oriented database that enables high performance, high availability, and easy scalability, and is an open source database system based on distributed file storage. In the case of high load,

The blog has moved Https://www.tianmingxing.com MongoDB is an open-source, document-oriented NoSQL (not only SQL) database written using C + +, and one of the most popular NoSQL databases. NoSQL Introduction NoSQL means "Not just SQL", is the

Recently MongoDB is frequently shot in the hack news. Many people are more claiming to hate Mongodb,david Mytton on his blog revealing many of the existing problems in MongoDB. But the hated one has the same many preferences, as a comeback: Russell

This is a creation in Article, where the information may have evolved or changed. This address: https://linux.cn/article-9006-1.html2017-10-28 20:18 favorites: 1 October 20, the New York-based MongoDB listed on the Nasdaq, closed on the same day at

Original link http://www.cnblogs.com/zhangzili/p/4975080.htmlMongoDB knowledge points at a glance1. Start the MongoDB database:Go to the MongoDB installation directory and execute the following commandC:\Program

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:

MongoDB distributed sharding Cluster [4]Sharding cluster configuration of MongoDBSharding cluster IntroductionThis is a horizontally scalable mode, which is especially powerful when the data volume is large. In practice, large-scale applications