Why Should You Use Online Query Optimization Tools?

Why Should You Use Online Query Optimization Tools?

SQL Performance tuning enables database administrators and DB analysts to identify slow queries and fix them. Fixing these queries involves multiple processes like index optimization, query rewriting, and in some cases performing ETL to better represent the data. With the availability of high-performance computing and AI, a lot of online query optimization tools have been released. They aim to help DBAs by recommending changes that can improve database performance.

The Necessity For SQL Performance Tuning The queries that are initially used will degrade in performance over time. The degradation can be attributed to the increase in data volume, load on the database server, or a DB design change.

To ensure that the speed of execution doesn’t degrade much, we need SQL performance tuning processes in place.

These processes usually involve identifying the cause of slow queries and providing recommendations to fix them.

Recommendations can be in various formats.

For example, creating specific indexes on columns depending on the queries can be one of the recommendations. The image below shows the time a query takes with and without indexing strategies.

Developing Online Query Optimization Tools 1. The Existing Approaches - DBAs would analyze all aspects of the database as a part of the SQL performance tuning process. The entire process involved using a set of tools to identify areas of concern and come up with recommendations for each of those issues or threats.

2. The Motivation to Optimise SQL Query Online -The short answer is that recommendations aren’t provided for all the aspects of database optimization. However, since we have enough data on common issues that queries can cause, we have been building applications that learn from these mistakes and become a recommender system.

3. Building Applications for the Web Now that the dependency on the database is eliminated, we can focus on the fastest method to improve performance and that is through the web. Online query optimization tools are stateless. Being stateless means that there isn’t any configuration, integrations, or customizations required.

They work independently on the queries alone and analyze them for you.Online tools are built so that DBAs and data analysts can quickly get results on certain parameters.

Advantages to Optimise SQL Query Online 1. Speed of Execution - Since the entire process of analyzing the query is automated, the system can process hundreds of queries in a matter of seconds. Researchers, DBAs, and SQL developers spend a long time analyzing each query. Using an online optimizer, they would be able to save hours of work.

2. Reduced Data Leak Risk - Organizations take extreme precautions to secure their data and the database. Providing access to others for optimization poses a huge risk. Online query processing and optimization do not require access to the database or the data.

Because of this, it significantly reduces the risk of a data leak.

3. Enterprise Scalability - Automation brings scalability. Most online tools support a wide variety of databases while providing easy integration pipelines. Applications can be scheduled to use these tools regularly to ensure that newer fixes are implemented.

Top Online Query Optimization Tools 1. EverSQL - EverSQL provides three automated

services: SQL Tuning, Indexing Recommendations, and Slow query log analysis. The result of these services are recommendations to help speed up query execution time thereby improving the DB efficiency.

2. Optimiz SQL - Optimiz SQL provides

Automated SQL tuning as a service. The process of automation involves identifying sections that are known to slow down executions and then looking at the best indexing strategy to run the query faster.

The Way Forward for SQL Optimization Many large organizations are integrating automated SQL optimization processes into their existing applications. With easy integrations, speed, and support for a vast number of databases, these tools are quickly gaining traction.

With minimal risk to data leakage, this forms a breakthrough technology that developers, database administrators, and data analysts can easily adopt and use. As technologies like AI and data dnalytics strengthen, there will be progress towards automating more database optimization processes.