Shulou(Shulou.com)05/31 Report--

This article mainly introduces the use of the mongoDB database, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

As a programmer, I believe we all need to get in touch with the database. We also have a relative understanding of mysql and mongoDB. We already know a lot about mysql. Now let's talk about the mongoDB database briefly.

MongoDB is a database based on distributed file storage, written by C++ language, which aims to provide scalable high-performance data storage solutions for WEB applications.

MongoDB is a product between relational database and non-relational database, which is the most functional and most like relational database in non-relational database. The data structure he supports is very loose, which is similar to json's bson format, so it can store more complex data types. The most important feature of Mongo is that the query language it supports is very powerful, and its syntax is somewhat similar to the object-oriented query language. It can almost achieve most of the functions similar to the single table query of relational database, and also supports the establishment of data indexing.

Characteristics of mongoDB database:

High performance, easy to deploy, easy to use, very convenient to store data. The main functional features are:

* for collection storage, it is easy to store data of object type.

The so-called "Collection-Oriented-oriented" means that data is grouped and stored in a dataset, which is called a Collection. Each collection has a unique identification name in the database and can contain an unlimited number of documents. The concept of a collection is similar to a table (table) in a relational database (RDBMS), except that it does not need to define any schema. The flash cache algorithm in Nytro MegaRAID technology can quickly identify the hot data concentrated by big data in the database and provide consistent performance improvement.

* Mode freedom (schema-free).

Using schemaless storage means that we do not need to know any structural definition of the files stored in the mongodb database. If necessary, you can store files with different structures in the same database. Using schemaless to store data is an important feature that distinguishes collections from tables in RDBMS.

* dynamic query is supported.

* full indexing is supported, including internal objects.

You can index any property, including internal objects. The index of MongoDB is basically the same as that of RDBMS. Indexes can be created on specified properties and internal objects to improve the speed of the query. In addition, MongoDB provides the ability to create geospatial-based indexes.

* query is supported.

MongoDB supports rich query operations, and MongoDB supports almost most queries in SQL.

* replication and failure recovery are supported.

MongoDB supports master-slave replication mechanism, which can achieve data backup, fault recovery, read expansion and other functions. The replication mechanism based on replica set provides the function of automatic fault recovery, which ensures that the cluster data will not be lost.

* use efficient binary data storage, including large objects such as video, etc.

Using binary format storage, you can save any type of data object.

* automatically handle fragments to support scalability at the cloud computing level.

* RUBY,PYTHON,JAVA,C++,PHP,C#,Perl,JavaScript and other languages are supported.

MongoDB provides database-driven packages for all current mainstream development languages, and developers can easily program to access MongoDB databases using any of the mainstream development languages.

* the file format is BSON (an extension of JSON).

BSON is short for JSON in binary format, and BSON supports nesting of documents and arrays.

* accessible through the network.

The MongoDB database can be accessed remotely over the network.

* powerful aggregation tool

MongoDB not only provides rich query functions, but also provides powerful aggregation tools, such as count, group, etc., which support the use of MapReduce to complete complex aggregation tasks.

MongoDB not only provides rich query functions, but also provides powerful aggregation tools, such as count, group, etc., which support the use of MapReduce to complete complex aggregation tasks.

The main application scenarios of MongoDB are:

(1) Real-time data processing of the website. It is very suitable for real-time insertion, update and query, and has the replication and high scalability required for website real-time data storage.

(2) caching. Because of its high performance, it is suitable to be used as the cache layer of the information infrastructure. After the system restarts, the persistence cache layer built by it can avoid the data source overload of the lower layer.

(3) highly scalable scenarios. Ideal for a database of dozens or hundreds of servers, its roadmap already includes built-in support for the MapReduce engine.

(4) for large-size, low-value data, it may be expensive to use traditional relational databases to store some data. before that, programmers often choose traditional files to store.

Scenarios that are not applicable are as follows:

(1) highly transactional systems, such as banking or accounting systems, are required. At present, the traditional relational database is more suitable for applications that require a large number of atomic complex transactions.

(2) traditional business intelligence applications, such as BI databases for specific problems, will produce highly optimized query methods. For such applications, data warehouse may be a more appropriate choice.

(3) complex cascading queries across documents (tables).

Thank you for reading this article carefully. I hope the article "what's the use of mongoDB database" shared by the editor will be helpful to you? at the same time, I also hope you will support us and pay attention to the industry information channel. More related knowledge is waiting for you to learn!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.