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 ...
"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 ...
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 ...
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 ...
Over the past few years, NoSQL database with its easy to expand, high-performance, high availability, data model flexibility and other features attracted a large number of emerging internet companies, including the domestic Taobao, Sina, Jingdong Mall, 360, Sogou, etc. have been in the local attempt to NoSQL solutions. Guangzhou giant FIR Database is a focus on the new NoSQL distributed database research and development of the start-up company, has now won the first round of angel investment, the core product is sequoiadb. The founding team members of the giant FIR database are from IBM North America Laboratories, and have long been engaged in the relational database D ...
&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp;1.find MongoDB uses Find to query. The query is to return a subset of the files in the set. The child collection ranges from 0 documents to the entire collection. The first parameter of find determines which documents to return. The form is also a document that describes the details to be queried. The empty query document {} matches the entire contents of the collection. If you don't specify ...
In the past few years, relational databases have been the only choice for data persistence, and data workers are considering only filtering in these traditional databases, such as SQL Server, Oracle, or MySQL. Even make some default choices, such as using. NET will typically choose SQL Server, and Java may be biased toward Oracle,ruby, Mysql,python is PostgreSQL or MySQL, and so on. The reason is simple: In the past a long time, the relational database is robust ...
Several years of work down, also used several kinds of database, accurate point is "database management system", relational database, there are nosql. Relational database: 1.MySQL: Open source, high performance, low cost, high reliability (these features tend to make him the preferred database for many companies and projects), for a large scale Web application, we are familiar with such as Wikipedia, Google, and Facebook are the use of MySQL. But the current Oracle takeover of MySQL may give us the prospect of using MySQL for free ...
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