About the concept and type of optimizer

This article examines the concept and type of optimizer.

Hello!

The database optimizer is responsible for optimizing user-written queries in the database to establish the most efficient action plan.

This improves the performance of the database and reduces the execution time of queries.

Now, let’s talk about the concepts and types of optimizers.

Optimizers are responsible for determining the best way to run database queries.

Analyze user-created queries and develop action plans to find the most efficient way to retrieve and manipulate data from the database.

This optimizes the performance of the database and provides quick and accurate results for users.

There are two main types of optimizers: Rule-based optimizer and Cost-based optimizer.

Rule-based Optimizer:
- Rule-based optimizers establish action plans according to predefined rules for user-created queries.
- Because the query is handled according to predefined rules, it can be effective for simple queries, but it can be difficult to establish an optimal action plan for complex queries.
Cost-based optimizer:
- A cost-based optimizer generates a variety of actionable action plans and calculates the estimated cost for each action plan to select the most efficient action plan.
- You can establish a more accurate and optimized action plan by taking into account factors such as the statistics of the query and the presence or absence of an index.

Improve performance: Optimizer can be used to improve database performance. Choose the best action plan to speed up query execution and reduce database load.
Automated Optimization: Optimizer lets you automate the optimization of queries, allowing users to write queries without having to worry about the complex task of developing an action plan.

Optimizers are key features responsible for optimizing queries in databases, with two types: rule-based optimizers and cost-based optimizers.

Each optimizer has advantages and disadvantages and can be selected and used to improve the performance of the database.

Thank you!