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The traditional relational database has good performance and stability, at the same time, the historical test, many excellent database precipitation, such as MySQL. However, with the explosive growth of data volume and the increasing number of data types, many traditional relational database extensions have erupted. NoSQL database has emerged. However, different from the previous use of many NoSQL have their own limitations, which also led to the difficult entry. Here we share with you Shanghai Yan Technology and Technology Director Yan Lan Bowen - how to build efficient MongoDB cluster ...

In our daily life, we are inseparable from the application of position recognition class. Apps like Foursquare and Facebook help us share our current location (or the sights we're visiting) with our family and friends. Apps like Google Local help us find out what services or businesses we need around our current location. So, if we need to find a café that's closest to us, we can get a quick suggestion via Google Local and start right away. This not only greatly facilitates the daily life, ...

"51CTO exclusive feature" 2010 should be remembered, because the SQL will die in the year. This year's relational database is on the go, and this year developers find that they don't need long, laborious construction columns or tables to store data. 2010 will be the starting year for a document database. Although the momentum has been going on for years, now is the age when more and more extensive document databases appear. From cloud-based Amazon to Google, a number of open-source tools, along with the birth of Couchdb and MongoDB. So what ...

Asya Kamsky, chief solution architect at MongoDB, recently published an article outlining 10 things to know about running MongoDB on a large scale. MongoDB also needs DevOps. MongoDB is a database. Like any other data store, it also requires capacity planning, tuning, monitoring and maintenance. Do not because it is easy to install, get started, and at the same time more natural than the relational database to meet the developers ...

"51CTO classic" I like MongoDB mainly because it is so simple and natural to use it in dynamic languages. So far, I've used it in two projects (Encode and SPARRW), although I'm very happy with the choice, but there are some problems I haven't noticed, and these problems have kept me scratching my scalp for hours. If you have more than one machine, and then allocate a few more machines for the database, then some problems can be solved, but my project is running on a single (virtual) server on the low flow w ...

The initial key value comparison, MongoDB victory faster, and this has always been our goal to give the database system MySQL dragster the speed of the disk as its biggest obstacle, this really can make sense? Let's just make an obstacle, what about the solution? If an obstacle limits your dragster, you can choose to bypass it faster or improve on the computer. For example: Avoid the use of disk, as much as possible memory in lieu of faster disk (such as SSD) in fact, this is not good analogy, because the limit from the disk is like ...

This usage is very practical for the following applications: write-intensive cache embedded systems that precede a slow RDBMS system require a lightweight database and a unit test that data in the library can easily be purged without the need for a persistent data-compliant PCI system (testing) If all this could be done, it would be elegant: we would be able to manipulate http://www.aliyun.com/zixun/aggregati without involving disk operations ...

First, MongoDB boot mode MongoDB In addition to supporting the command line startup method also supports the configuration file startup to start the database by reading the startup configuration file for example, the following command can be used for the configuration file 1./mongod-f/etc/mongodb.conf MongoDB parameter Description dbpath: Data file storage path each database creates a subdirectory in it to prevent the same instance from running multiple times Mongod.lock also saved in this mesh ...

NoSQL Recent momentum is good, http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb is one of the Jiao jiao, oneself learn nosql when also reference a lot of information, The final decision to start from the MongoDB, the most important reason has two: 1 oneself is a simple amateur, all problems I think whether there is a simple way to solve, rather stop to think a lot of time, also do not want to use stupid method to do immediately, and Mong ...

One-to-one relationship: Embed, such as http://www.aliyun.com/zixun/aggregation/10619.html "> User information collection has Address field, Address field has three fields of province, city, county. Modeling is as follows: a one-to-many relationship: An article has multiple comments, for 1 to multiple relationships because MongoDB has a size limit of 16M (higher than v1.8 ...) for single documents (document).