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Why Database Indexing Is Essential for High-Traffic iGaming Platforms

Discover how proper database indexing improves query speed, reduces server load, and keeps iGaming platforms responsive as traffic grows.

6 min read
  • database indexing
  • database optimization
  • SQL performance
  • iGaming engineering
  • query optimization
  • affiliate platform
  • database performance
  • software engineering

Why Database Indexing Is Essential for High-Traffic iGaming Platforms

Behind every successful iGaming platform is a database that is processing enormous amounts of information every second. From affiliate clicks to campaign reports, all of this information has to be retrieved efficiently from the database. The more users that connect to the platform, the greater the obstacle that inefficient databases present to the platforms’ scalability. 

One of the simplest yet most effective solutions to improve database performance is proper indexing. Database indexing will allow the databases to retrieve information more efficiently than by scanning every record in the database for that specific value. 

For engineering teams that are in charge of building and maintaining affiliate platforms, casinos, and advertising platforms, database indexing is one of the highest-impact engineering optimizations that can be performed on these platforms.

What Is a Database Index?

A database index is a data structure that helps the database to find records much faster. 

If there is no index in place for a specific database field, the database must examine every record in that database to find the required field value. 

It is somewhat similar to the index in a book - instead of reading every page of the book to find a specific value, the reader can jump directly to the page that contains the content that is being searched for. 

Why Query Performance Matters

Because almost every component of an iGaming platform relies on database queries, the performance of those database queries has a direct impact on the performance of the platform as a whole. 

Examples of the many platform components that depend on database query performance include:

Affiliate dashboards

Traffic reports

Player searches

Payment history

Campaign analytics

Improving the query performance will improve the experience of the users of the iGaming platform.

Common Tables That Need Indexing

iGaming platforms contain tables with millions of records.

Some of the most common tables that need indexing include:

Clicks table

Users table

Deposits table

Campaigns table

Sessions table

Audit table

As the amount of data stored in these tables grows, the importance of indexing becomes even more prominent for these databases. 

Improve Reporting Speed

Another key benefit of database indexing is the ability to speed up reporting for marketing teams.

When marketing teams generate reports for different aspects of the iGaming platform, these reports must contain many data fields from the databases. 

By indexing these databases, the rate at which the reporting software can access this data will be increased, which will allow the marketing teams to generate their reports more quickly and make more informed business decisions. 

Reduce Database Load

Each database query that is performed inefficiently consumes the processing power and data storage resources of the database.

By indexing the databases, the number of database loads can be reduced, which will improve the overall stability of the iGaming platform. 

Support Real-Time Analytics

For many iGaming platforms, real-time reporting is crucial to understanding the success of different campaigns. 

Indexes can be used to accelerate the queries for these real-time reports on clicks, events, users, and campaigns.

Improved query performance enables these analytics to be displayed in near real time on the platforms’ dashboards. 

Improve API Performance

APIs are utilized by the various applications that are connected to the iGaming platform. 

Each of these APIs will rely upon database queries to provide the required information.

By indexing the databases of the iGaming platform, the response times of the APIs will improve.

This will allow each of the connected applications to function more efficiently.

Balance Read and Write Performance

While database indexing will improve the speed at which the databases can read information, it can have an impact upon write performance as well.

Any engineering team that is creating these databases must find a balance in the indexing that maximizes read performance while minimizing the impact upon write performance.

Monitor Slow Queries

In order to optimize the databases of an iGaming platform, it is first important to monitor the queries that are performed by the platform.

Some of the measurements that can be used to monitor the databases include:

Slow query logs

Query execution time

Index usage

Table scan frequency

Resource consumption by the database

These measurements will help any engineering team to recognize opportunities to optimize the databases. 

Remove Unused Indexes

It may seem as though more indexes are always better for a database. 

Unused indexes, however, can actually have a negative impact upon database performance. 

Unused indexes can:

Consume storage space in the database

Slow the insertions of new records into the database

Increase the time that it takes to maintain the database

By removing any unused indexes on a regular basis, the engineering team can ensure that the database runs as efficiently as possible. 

Design for Future Growth

Any databases that are built for an affiliate or iGaming platform must be able to accommodate future growth of that platform.

Factors to consider when planning for future growth of the database may include:

Future growth of the traffic to the platform

Data retention policies

Partitioning of the databases

Data archiving policies

By planning for the future of the database in advance, the engineering team can avoid having to make costly and disruptive database migrations later on in the life of the platform.

AI-Assisted Database Optimization

Artificial intelligence is assisting database administration in many ways now.

Many database management platforms have implemented artificial intelligence functionality to assist their database administrators with completing various database tasks. 

Some of these functions include:

Finding missing database indexes

Finding inefficient database queries

Finding future storage needs of the databases

Finding redundant indexes within the databases

Suggesting changes to the database schema

Using these suggestions from AI-assisted database software will allow the engineering teams to better optimize the databases and reduce the amount of time that they must dedicate to database optimization themselves. 

Common Indexing Mistakes

Many engineering teams make mistakes when adding database indexes.

Some of the most common indexing mistakes include:

Indexing every column in every table

Ignoring slow query logs of the database

Creating duplicate indexes

Forgetting to create indexes for composite queries

Never reviewing the production database workloads to determine which indexes to create

By avoiding these common indexing mistakes, engineering teams can create a better database indexing strategy.

Best Practices

In order to ensure that the databases are operating efficiently, some of the best practices for engineering teams to follow include the following:

Measure the performance of database queries first

Index the columns that are frequently searched within the tables

Monitor the databases for slow queries

Remove redundant indexes

Test any database changes prior to deploying updates to the live databases

Review database growth on a regular schedule

Optimize databases for high-volume tables

Continually optimize databases to ensure maximum efficiency in database query performance.

Looking Ahead

The future of database indexing and optimization will include various new developments.

Some of the upcoming developments in database indexing include the following:

Artificial intelligence-assisted indexing recommendations

Automatic query optimization for databases

Adaptive database indexing

Intelligent data storage management

Self-optimizing databases

These developments will allow engineering teams to manage ever-increasing database workloads while maintaining excellent performance from those databases. 

Final Thoughts

Database indexing is one of the most effective engineering optimizations for iGaming platforms. 

Database indexing will allow the databases of the iGaming platforms to retrieve information more efficiently than without indexing. Additionally, indexing will reduce the amount of load that the databases must perform, which will allow the publishers, affiliates, and others using the iGaming platforms to enjoy faster experiences. 

By implementing and reviewing each of the strategies discussed in this article, engineering teams will be able to guarantee that their databases will perform efficiently alongside the development of the iGaming platforms. Indexing strategies are not an optimization for database queries - they are an essential component in the production of a reliable and scalable iGaming platform.

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