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Document directory View code in MVC Controller code in MVC Model Code in MVC In this section, we detail how to add, delete, modify, and query a table in a multi-data model in a real project.The langben code generator can automatically generate ASP. NET pages and background code.The technologies used by the generated project include jquery + MVC + Entity Framework. In practical development, we use powerdesigner to design a database model. The la
Relational Database V. S. Non-relational database, relational database v. sThe most important feature of a relational database
: The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access : This type of database is
structure method and the application situation, the following categories are mainly divided into: Key-value database for high-performance concurrency reading and writing: The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for
high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for
: The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is chara
main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characteriz
Tags: Ken database index height Ros a connection row tree height implementation principleWhat exactly is a database index and how does it work? -CSDN Bloghttp://blog.csdn.net/weiliangliang111/article/details/51333169MySQL indexing principle and slow query optimization-Https://tech.meituan.com/mysql-index.htmlHow the database
database classification Because of the nature of the relational database itself, and the time is relatively short, therefore, do not want to relational database, there are several databases can unified Jiangshan,
specific areas and are largely non-complex, but they compensate for the shortcomings of the relational databases enumerated earlier. Advantages: Easy dispersion of data The relationship between the data is the main reason for the name of the relational database, in order to join processing, the
Acid principles for relational database compliance (1) A Atomic nature: All operations in a transaction, either done or done, the success of the transaction is the success of all operations in the transaction, as long as one operation fails, the entire transaction fails and needs to be rolled back. (2) C Consistency: The data
concerned with the internal structure of a document . This allows the storage engine to directly support a level two index , allowing efficient querying of any field . The ability to support the nesting of documents enables the query language to have the ability to search for nested objects , and XQuery is an example. MongoDB implements similar functionality by supporting the specification of
Reprinted from: http://t.dbdao.com/archives/why-is-mongodb-wildly-popular.html "If you show me the code and don't let me understand the data structure, I'll be confused." If I knew the data structure, I would obviously no longer have to look at your code more often. "– Written by Eric Raymond in" the Cathedral and the Bazaar:musings on Linux and Open Source by an accidental revolutionary ", 1997 Language in
. Advantages: Easy to scatter data The relationship between the various data is the main reason for the name of the relational database, in order to join processing, the relational database has to store the data in the same server, which
following categories are mainly divided into: Key-value database for high-performance concurrency reading and writing: The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented
high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for
extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for
that it is not limited to fixed structure, can reduce some time and space overhead. In this way, users can add the fields they need as needed, so that in order to get different information of the user, it is not necessary to query the multi-tables in the relational database. The query can be completed only by taking t
Compared with relational databases, MongoDB has the following advantages:① Weak consistency (eventual consistency) ensures the user access speed:For example, in a traditional relational database, a COUNT operation locks the dataset to ensure that the exact value is obtained
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