Advanced Query Optimization Techniques

Query Explainers: Query explainer tools helps to understand how database query executes. Query explainer helps in understanding and optimizing the query plan.

Example :- In SQL, EXPLAIN is example of query explainer

EXPLAIN SELECT * FROM department WHERE students > 80

Index Optimizations: While creating indexes, it is important to choose suitable index type. This will improve the the performance of query search. It also reduce the time for scanning full table and reduce resource consumption.

Batch Query: Multiple queries are processed in same batch which helps in reducing system overhead by minimizing the number of database connections and queries. It can process multiple operations in single transactions which reduce overhead.

In-Memory Storage: By using in-memory databases can help in improving the speed for read operations for those queries which require low latency. This can be helpful for caching results of frequently executed queries.

Data Denormalization: Data denormalization can be helpful in reducing the need for complex joins. It helps to improve the read performance. It also helps in frequent query execution in the read intensive systems.

Bitmap Index Usage: It is useful when field values have a limited number of different occurrence. It is effective for the queries involving filtering on fields with low cardinality.

We will learn about advanced query optimization in DBMS. We will understand about components of optimizer and methods of query optimization. We will also understand about automatic tuning optimizers.