Database is one of the most important entities of the Ruby on Rails platform and its dependency on the database is very intricate and
intense. Optimizing the database is one of the key tasks the developers try to
perform in order to develop the functioning of the project. There are various
ways in which the database can be optimized.
Ruby on Rails Developers migrate databases to new and separate servers. Moving the database
to an individual server enables in adding resources exclusively for the
database instead of fighting for resources with Ruby. This process is
comparatively a simple one if a Ruby on Rails developer is planning to scale a
website and it can be done using general Rails hosting providers.
The features available in a database are always going to be
more than what is required by a Ruby on Rails programmer to program a website
using the platform. To save some resources in the server and to stop the database from using resources
unnecessarily, the programmer can switch off some features which were
configured in the Database and are not being used currently. Remote
connections, unused database engines (MyISAM vs InnoDB), or optional
authentication settings like LDAP are some examples of features which are used
by resources which can be switched off for saving resources.
One of the most efficient ways of optimizing a database is
by setting up a database cluster.
The process of creating a database cluster involves in the combination of two or
more servers and getting them connected to the database on which the project is
being built. Ruby on Rails programmers can avoid bottle necks by connecting
their websites to a random server for fetching data efficiently. Thus a website in a database which is
connected to 4 servers can fetch data from all 4 servers and each of the servers
will be handling 1/4th of the website’s traffic to the server
through the database.
A common way of setting up a cluster is the master/slave method where one server is
a master and the other servers connected act as slaves. The master server has
the original copy of the data and the other servers connected have copies of
the database.
Developers can analyze the scope of their websites and
according to the data it has the data
can be segregated into second or third database. This database can be of
the same type of MySQL as the main application or it can be of a different type
like MongoDB etc. Elements which are commonly separated are details of users
logging into the website and other site details regarding the history of usage.
Using a database
caching layer is the most effective way of fastening and enhancing the
efficiency of a database. This caching layer sits between the application and
the server and it caches queries for a brief period of time, this saves time in
fetching a single content over and over again. Instead for fetching a single
data from the server hundred times, the caching layer saves the record
temporarily and produces it instantaneously a hundred times.
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