IMPLEMENTATION OF POLYGLOT PERSISTENCE AS A DATABASE OF THE GANELOVE DATING APPLICATION
The COVID-19 pandemic forced people, including college students, to do activities at home. Because of this, social interactions were restricted to online-based interactions and overall lessened. Thus, a dating application called Ganelove was developed to overcome this problem. However, during the...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/74168 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The COVID-19 pandemic forced people, including college students, to do activities at home.
Because of this, social interactions were restricted to online-based interactions and overall
lessened. Thus, a dating application called Ganelove was developed to overcome this problem.
However, during the operational period, several issues were identified. First, the database’s
bandwidth consumption was high, thus increasing operating costs. In addition, users considered
that the application’s response time was not fast enough. Therefore, there is an opportunity to
improve the application’s database system.
The development of a database consists of five stages: identifying the application’s requirements,
creating a conceptual model from the requirements, selecting the DBMS used, converting the
conceptual model to a logical model, and designing the physical model. The database selection
uses the application’s non-functional requirements and the relations between tables as the
criteria.
From the development steps, it is determined that the database system is developed using more
than one DBMS, or, in other words, using polyglot persistence. The two DBMSs chosen are
MongoDB and Apache Cassandra. To connect these two DBMSs, a Node.js-based API is used.
The database system is tested by performing validation on the queries needed by the application
and comparing its performance against the previously used document-oriented database. There
are two parameters for comparison: the database system’s execution time against a certain
number of records in the database and the database system’s capability to handle a certain
number of connections at a time. According to test results, the database system that uses polyglot
persistence performs better than the database system that only uses one kind of DBMS in terms
of execution time and concurrent connection handling. |
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