How Can a Developer Increase DBMS Performance?

Vasyl is a Back-End .NET Developer at Swan Software Solutions. His responsibilities include implementing new features and fixing bugs. He enjoys the interesting projects and friendly team at Swan, and he chose his career because it was a good chance to be one of the people driving world progress.

In his free time, Vasyl likes to participate in running competitions, watch Formula 1, and converse with people from other countries. He also admits to being a night owl.

As for the most important trait of a good software developer? Vasyl believes that keeping an open mind and not being afraid to ask for help will help one develop one’s self every day.

Vasyl shares how to increase DBMS Performance.

The scaling schemes described below apply to both relational databases and
NoSQL databases. All databases and storages have their own specifics, so I want to consider only the main areas.

Partitioning

Partitioning is the segmentation of tables containing a large number of
records into logical parts according to certain criteria selected by the administrator.
Table partitioning divides the entire volume of data processing operations into several independent and parallel threads, which significantly speeds up the work of the DBMS. To correctly configure partitioning parameters, it is necessary that each thread has approximately the same number of records.

Replication

Replication is the synchronous or asynchronous copying of data between
multiple servers. Leading servers are called masters, and slave servers are called slaves. Masters are used to change data, and slaves are used to read.

In the classic replication scheme, there is usually one master and several slaves, since in most web projects there are several orders of magnitude and more read operations than write operations. However, in a more complex replication scheme, there may be several masters.

Sharding

Sharding is a technique that allows you to distribute data between different
physical servers. The sharding process involves spreading data between individual shards based on a certain sharding key. Entities linked by the same sharding key value are grouped into a data set by a given key, and this set is stored within one physical shard. This greatly simplifies data processing.

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