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Mongodb presentation

Mongodb presentation

1 Main features

MongoDB provides a document-oriented store that is relatively simple and easy to operate.

You can index any attribute in a MongoDB record (e.g. FirstName="Sameer",Address="8 Gandhi Road") for faster sorting.

You can create data mirrors locally or over the network, which makes MongoDB more scalable.

If the load increases (requiring more storage space and processing power), it can be distributed across other nodes in the computer network-this is called fragmentation.

Mongo supports rich query expressions. Query instructions use JSON tags to easily query objects and arrays embedded in documents.

MongoDb uses the update() command to replace the completed document (data) or some specified data field.

Map/reduce in Mongodb is mainly used for batch processing and aggregation operations on data.

Map and Reduce. The Map function calls emit(key,value) to traverse all records in the collection, passing key and value to the Reduce function for processing.

The Map function and Reduce function are written in Javascript and can perform MapReduce operations via db.runCommand or mapreduce commands.

GridFS is a built-in feature in MongoDB that can be used to store large numbers of small files.

MongoDB allows scripts to be executed on the server side. You can write a function in Javascript and execute it directly on the server side. You can also store the definition of the function on the server side and call it directly next time.

MongoDB supports various programming languages:RUBY, PYTHON, JAVA, C++, PHP, C#and many other languages.

MongoDB is easy to install.

2 MongoDB Download

You can download the package from mongodb's website at https://www.mongodb.com/download-center#community. MonggoDB supports the following platforms:

OS X 32-bit

OS X 64-bit

Linux 32-bit

Linux 64-bit

Windows 32-bit

Windows 64-bit

Solaris i86pc

Solaris 64

Three MongoDB application cases

Here are some examples of companies that have MongoDB in action:

There are billions of records archived on Craigslist using MongoDB.

FourSquare, a location-based social networking site, shares data using MongoDB on Amazon EC2 servers.

Shut, an Internet-based social and personal publishing service, uses MongoDB for various persistent data storage requirements.

bit.ly, a Web-based URL shortening service that uses MongoDB to store its own data.

Spike.com, an affiliate of MTV Networks, uses MongoDB.

Intuit, a provider of software and services for small businesses and individuals, tracks user data for small businesses using MongoDB.

sourceforge.net, resource site to find, create and publish open source software for free, backend storage using MongoDB.

etsy.com, a website for buying and selling handmade items, using MongoDB.

The New York Times, one of the leading online news portals, uses MongoDB.

CERN, the famous particle physics institute, CERN, the Large Hadron Collider data using MongoDB

Four MongoDB three threads write peak (3 threads 1 thread 100*100000)

Single thread single node writing peak at about 80,000

Five MongoDB Test Cases

for (int i = 0; i < 1; i++) {

List documents = new ArrayList();

for (int j = 0; j < 100000; j++) {

Document document = new Document();

document.append("name", "hell word"+i+"-"+j);

document.append("title", "test"+i+"-"+j);

document.append("url", "http://cvtsp.com"+"-"+j);

documents.add(document);

count++;

//System.out.println (count+"--data");

}

System.out.println(dateFormat.format(new Date())+"--Start Time");

long a = new Date().getTime();

//put the document into the collection

database.insertMany(documents);

long b =new Date().getTime();

System.out.println((b-a));

}

Server IP 10.10.10.121

Serial Number Data Volume (ten thousand) Write Read

Single thread 10 times average (ms)(16GB/4GB) 10 times average (ms) Single thread 10 times average

(ms)10 threads average (ms)

1 1 210 129 Unindexed Parsing Results

Data acquisition takes about one second

Output results 1837, 12576, 110799

2 10 2000 1294

3 100 21670 12919

Six MongoDB Hot and Cold Data Test Results

Cenos6.6 Memory 4GB Write data When it reaches about 4GB, mongo will write cold data to disk, memory will always keep about 4GB of hot data (ps 5 threads do not insert 3kw data When it reaches the saturation point of memory, mongodb will transfer cold data to hard disk)

Attachment: down.51cto.com/data/2366856

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