Tuesday, May 25, 2010
Friday, May 21, 2010
Sinatra 8
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MongoDB is an open source which is highly performance, scalable, schema-free and document-oriemted databse which is written in C++ programming language. It is been design for problem without heavy transactional requirements which is not easily solved by traditional RDBMS, which includes problems which require databases to span many servers. In MongoDB shines the exact records, arrays and other object which can be stored inside of the record. We can avoid expensive joins and other complex issues by using deeply nesting data inside of a record (Github, 2010). In the relation of MongoHQ and MongoDB, the MongoHQ is hosting platform for MongoDB and uses the MongoDB as the backend of the services. MongoHQ is the cloudbase hosting solution for theMongoDB database provided by the common thread (Github, 2010).
MongoDB features are included below;
1. Document-oriented storage
2. Full index support
3. Replication and high availability
4. Auto sharing
5. Querying
6. Fast in-place update
7. Map or Reduce
8. GridFS
9. Commercial support
Github.(2010).Mongomapper. Retrieved May 19, 2010 from http://wiki.github.com/jnunemaker/mongomapper/
b. What is Mongomapper?
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MongoMapper is a ruby wrapper library which helps to makes MongoDB much easier and friendly. According to Github, the main function of mongomapper is to stick closely with the familier syntax of ActiveRecord (2010). With MongoMapper we can retrieve a record with the embedded document attached to it, the embedded document information is retrieved along with it which is mongomapper shines. There are two key concepts while working with Mongomapper. Where Document is known as records with the fields and the Embedded Document is similar to Document, but it is injected into a document and still retains all of the information contains (Github, 2010).
c. What is the relation between MongoDB and Mysql?
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The relation between MongoDB and MySQL are mention below in tabular form:
Table 1(MongoDB, 2010). MongDB and MySQL relationship
| MongoDB | MySQL |
Data Model | Document-Oriented (BSON) | Relational |
Data Types | String, int, double, Boolean, date, bytearray, object, array, others | Link |
Large Object | Yes (GridFS) | Blobs |
Replication | Master-Slave | Master-Slave |
Object(row) Storage | Collection Based | Table Based |
Query Method | Dynamic; Object-Based Query Language | Dynamic: SQL |
Secondary Indexes | YES | YES |
Atomicity | Single Document | Yes- Advanced |
Interface | Native Drivers | Native Drivers |
Server-Side batch data manipulation | Map.Reduce, server-side javascript | Yes (SQL) |
Written in | C++ | C |
Concurrency Control | Update in Place | ---- |
MongoDB.(2010). MongoDB,CouchDb,MySQL Compare Grid. Retrieved from http://www.mongodb.org/display/DOCS/MongoDB,+CouchDB,+MySQL+Compare+Grid