Using CQRS Pattern for Improving Performance in Relational Databases
Date Issued
2023-07
Author(s)
Sinani, Valmir
Abstract
Data-intensive applications, such as social
media, financial and trade systems, rely heavily on data
generated by users. This type of application requires high
performance, and traditional architecture may not be
suitable for complex applications. CQRS is a programming
model pattern that changes the traditional mentality of
using one programming model as CRUD, where writing
and reading operation work in a single model. CQRS
segregates CRUD into two programming models. CQRS
pattern treats retrieving data and writing data separately
with different responsibilities. Here in the introduction,
some quotes describe the CQRS pattern. Also, here are
some motivations for the implementation of the CQRS
pattern. The Case Study section presents an
implementation of the CQRS pattern in API applications
with the intention of optimization. Below is presented the
value of segregating the reading data model from data store.
media, financial and trade systems, rely heavily on data
generated by users. This type of application requires high
performance, and traditional architecture may not be
suitable for complex applications. CQRS is a programming
model pattern that changes the traditional mentality of
using one programming model as CRUD, where writing
and reading operation work in a single model. CQRS
segregates CRUD into two programming models. CQRS
pattern treats retrieving data and writing data separately
with different responsibilities. Here in the introduction,
some quotes describe the CQRS pattern. Also, here are
some motivations for the implementation of the CQRS
pattern. The Case Study section presents an
implementation of the CQRS pattern in API applications
with the intention of optimization. Below is presented the
value of segregating the reading data model from data store.
Subjects
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