OneMongoDBBrief introduction
MongoDB is a high-performance, open-source, modeless document-based database that is a popular one in the current NoSql database. It can be used in many scenarios to replace the traditional relational database or key/value storage methods. MONGO is developed using C + +. MONGO's official website address is: http://www.mongodb.org/, where readers can get more detailed information.
| Episode: What is NoSQL? |
nosql, full name is not Only sql , which refers to a non-relational database. The next generation of databases mainly solves several key points: non-relational, distributed, open-source, horizontally extensible. The original purpose is for large-scale web application, The campaign began in early 2009 with features such as freedom of mode, easy replication, simple APIs, eventual consistency (non-acid), high-volume data, and so on. NoSQL is the most used when the number of key-value storage, of course, other The document type of the , the Columnstore, the graph database, the XML database, and so on. |
Characteristics:
- High performance, easy to deploy, easy to use, easy to store data. The main features are:
- For collection storage, easy to store data for object types.
- Mode of freedom.
- Supports dynamic queries.
- Supports full indexes, including internal objects.
- Support Queries.
- Supports replication and recovery.
- Use efficient binary data storage, including large objects such as video.
- Automatically process fragmentation to support scalability at the cloud level
- Drivers for python,php,Ruby, Java,c,c#,javascript,perl and C + + languages are supported, and drivers for Erlang and. NET platforms are also available in the community.
- The file storage format is Bson (an extension of JSON).
- can be accessed over the network.
Function:
- Collection-oriented storage: suitable for storing objects and data in JSON form.
- Dynamic Query: The MONGO supports rich query expressions. Query directives use a JSON-style tag to easily query objects and arrays embedded in the document.
- Full index support: includes embedded objects and arrays in the document. The query optimizer of MONGO parses the query expression and generates an efficient query plan.
- Query monitoring: MONGO contains a monitoring tool for analyzing the performance of database operations.
- replication and automatic failover: The MONGO database supports data replication between servers and supports replication between master-slave mode and server. The primary goal of replication is to provide redundancy and automatic failover.
- Efficient Traditional storage: supports binary data and large objects (such as photos or pictures)
- Auto-sharding to support cloud-scale scalability: automatic sharding supports a level of database clustering, adding additional machines dynamically.
Applicable occasions:
- Website data: MONGO is ideal for real-time inserts, updates and queries, as well as the replication and high scalability required for real-time data storage on the site.
- Caching: Because of its high performance, MONGO is also suitable as a caching layer for the information infrastructure. After the system restarts, the persistent cache layer built by MONGO can avoid overloading the underlying data sources.
- Large, low-value data: Storing some data in a traditional relational database can be expensive, and many times programmers often choose traditional files for storage.
- Highly scalable scenario: The MONGO is ideal for databases made up of dozens of or hundreds of servers. Built-in support for the MapReduce engine is already included in the roadmap for MONGO.
- Storage for objects and JSON data: The MONGO Bson data format is ideal for storing and querying in a document format.
Second, download the installation and configuration
Install the MONGO database under Windows:
The latest version officially provided at the time of this article is: 1.6.5, if you do not make a special declaration, this version will be used for this tutorial.
- First step: Download the installation package: If it is a win system, note whether it is a 64-bit or 32-bit version, please select the correct version.
- Second step: Create a new directory "D:\MongoDB", unzip the downloaded installation package, locate all the. exe files under the bin directory, and copy to the directory you just created.
- Step three: Create a new "data" folder in the "D:\MongoDB" directory, which will be the root folder for data storage.
Note: official:http://www.mongodb.org/downloads
Configure the MONGO service side:
Open the cmd window and enter the command as follows:
> D:
> CD D:\MongoDB
> Mongod--dbpath D:\MongoDB\data
After the configuration is successful, you will see the following screen:
In the browser input: http://localhost:27017/, you can see the following prompt:
You is trying to access MongoDB on the native driver port. For HTTP diagnostic access, add the port number
Thus, the MongoDB database service has been successfully started.
Installing and configuring MongoDB under LinuxStep One: Download the file
For 32-bit Linux
$ Curl http://downloads.mongodb.org/linux/mongodb-linux-i686-1.4.4.tgz > Mongo.tgz
$ tar xzf mongo.tgz
For 64-bit Linux
$ Curl http://downloads.mongodb.org/linux/mongodb-linux-x86_64-1.4.4.tgz > Mongo.tgz
$ tar xzf mongo.tgz
If Curl is not installed
Installing Apt-get Install Curl First
Step Two: Create a Data folder
By default, MongoDB stores data in the/data/db/folder, which needs to be created manually.
Create the following ways:
$ adduser MongoDB
$ passwd MongoDB
$ sudo mkdir-p/data/db/
$ sudo chown ' id-u '/data/db
$ chown-r Mongodb:mongodb/data
Of course, you can specify MONGODB to store the data in a different directory through the--dbpath command.
Step three: Get the database up and running
In the console:
$ nohup./mongodb-xxxxxxx/bin/mongod &
$./mongodb-xxxxxxx/bin/mongo
> Db.foo.save ({a:1})
> Db.foo.find ()
The result is:
{"_id": ObjectId ("4cd181a31415ffb41a094f43"), "a": 1}
The above three steps will be OK!! Such a simple MongoDB database will be able to run smoothly.
MongoDB Installation and Startup
