Mongodb Database Schema

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

"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 ...

Recently MongoDB in hack news is frequently shot. Many people even claim to hate Mongodb,david Mytton on his blog to expose MongoDB many existing problems. But those who hate have a lot in common, as a comeback: Russell Smith brings a summary of years of work experience. Russell Smith has worked as an OPS and a large website scaling advisor and has helped Guardian, Experian and many other companies, MongoDB Lond ...

MongoDB is currently the best document-oriented free Open-source NoSQL database. If you are preparing to participate in a technical interview for the MongoDB NoSQL database, you might want to look at the following MongoDB NoSQL interview questions and answers. These MongoDB NoSQL interview questions cover the basic concepts of NoSQL databases, replication (Replication), fragmentation (Sharding), Transactions and locks, trace analysis Tools (Profiler), nuances, and logging features. Let's look at the following ...

2010 should be remembered because SQL will die this year. This year, the relational database is on the verge of falling, and this year developers found they no longer needed long, laborious columns or tables to store data. 2010 will be the starting year for document databases. Although this momentum has lasted for many years, it is now the era of more and broader document-based databases. From cloud-based Amazon to Google, a large number of open source tools, and the ensuing CouchDB and MongoDB. So what is MongoD ...

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, ...

NoSQL has been in vogue for a long time, so what exactly is the scene you need to use these "emerging things", such as http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb?" Here are some summaries: you expect a higher write load by default, compare transaction security, MongoDB more attention to high insertion speed. If you need to load a lot of low-value business data, then MONGO ...

While technology like http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb,mapreduce" is seen as a hallmark of innovation, companies rely on sophisticated technologies such as SQL. 　　Mining important business models from these data becomes very difficult when the enterprise needs to collect more data formats, especially when new formats are not supported by SQL. When faced with such a problem, the market ...

MongoDB is a product between relational database and non relational database, and is the most powerful and relational database in the relational database. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. The biggest feature of MONGO is that the query language he supports is very powerful, and its syntax is somewhat similar to an object-oriented query language, which can almost achieve most of the functions of a single table query like relational database, and also supports indexing data. Just released MongoDB 1 ...

MongoDB released the 1.6.0 version, which is the fourth major stable version of the 1.0,1.2,1.4 version, and released the 1.6.1 release on August 17. This release focuses on enhanced dynamic expansion (Scale-out) features, http://www.aliyun.com/zixun/aggregation/14273.html ">sharding functionality is already available in the production environment." Use both horizontal and replication collections (replica sets ...).