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Published Journal Articles


A Tree Method for Managing Documents in Mongodb

TEST Engineering & Management magazine (Issue : 01934120) (Volume : 83)
Relational databases have a wide range of applications and use in many areas over the past decades. After the emergence of social networks, the increase in the number of users of these networks, the evolution of data types and relationships between records have formed the main reasons behind the need to represent and store data in a dynamic way. One of the best ways to handle big data is document-oriented databases. This approach is characterized by the absence of a design to represent entities, as each entity in the entity set may have different private information from other entities in the same set. For the users of the data, data is displayed and manipulated by an easy graphical user interface which with its functionality (such as adding, deleting, updating a record) are designed during and after the design of the database. The design of the end-user interface depends on the customer's requirements as well as the design of the database. In the case of document-oriented databases, there is no static database design. Each entity has its own embedded design. It is possible at any time to add new fields or change the data type for some fields, in addition to the possibility of deleting some fields from some documents. Therefore, the user interface designing process for document-oriented databases is difficult and requires deep intuition in addition to a continuous modification of the design. In this research, it is suggested to use the tree to represent and manipulate the information of each entity separate from that of other entities in the same collection. This method represents each field name and field value as a node. In addition to the fact that the embedded documents are represented in the form of an embedded tree, this method facilitates the representation and handling of any structure of the document. A document management tool has also been built on the proposed managing MongoDB documents.