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 ...
"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 ...
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 ...
Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).
Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).
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 ...
We can see that the widely criticized global locks have been removed in this version, replaced by db-level locks, and collection-level locks are not far off. Here is a look at the 2.2 version of several new features: 1. Concurrency performance enhancements As mentioned above, http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb In version 2.2 There is no longer a global lock over the entire daemon, but a lock ...
Http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb also has many areas to improve, such as global write locks (now just a database-level write lock). This article focuses on how to scale to cope with large data, where the volume of large data is 100GB. It will be more meaningful when you look at the implementation of the underlying storage. Basically, MongoDB consists of a bunch of Bson document MMAP (Memory-mapped) lists, which ...
India's unique identification project (also known as the Aadhar Plan), which recently completed the collection of demographic and biometric data, is currently the largest of its kind in the world. The project, which has been in operation for several years, has been subject to conflicting voices from all sides, from privacy and security to other sources. At the same time, the latest developments in the Aadhar project have raised concerns about its methods of capturing, storing, and managing data, especially an American start-up company, Mongo ...
India's unique identification project (also known as the Aadhar Plan), which completed the collection of demographic and biometric data earlier this week, was more than 500 million Indians-the largest of its kind in the world today. The implementation of the project has been accompanied by conflicting voices from privacy and security as well as other aspects. The latest developments in the Aadhar project have raised concerns about its methods of capturing, storing, and managing data, especially an American start-up company ...
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