Bad SQL queries lead to query timeout and breaks in application flow and deadlock issues.
Finding a way to solve a problem can be a solution, but it can’t be an optimum solution. Isn’t it?
We at Thinkcloudly believe in the optimality of a solution and its assurance that it is logically operable. So let’s explore this problem through various matrices.
● Elaboration on the problem:
The problem states that a bad SQL query can lead to query timeout, breaks in the application, and deadlock issues, and hence we have to find a solution to handle these issues if we somehow get gripped by a bad query.
We came out with the various terms – bad SQL, query timeout, break in the application, and deadlock. Let’s have a brief over them.
1. Bad SQL:
A SQL query that restricts any queries better flow is classified as Bad SQL. Bad SQL leads to a slow down in the database implementations, restrictions of other queries, and many such problems.
2. Query timeout:
Each query has a time limit of execution. Query timeout specifies the time the application waits to give an error. If the query doesn’t provide any data within the specified period, then the application terminates the query and pushes an error.
3. Break in the application:
The error that comes out in an application that leads to pause or termination of the application falls in this category.
A condition of inactivity or no work in progress that arises due to one query’s dependency on another for its time of execution and so on is specified as deadlock.
So, after it, the Thinkcloudly team expects the reader is well introduced to the problem. Let’s jump to a solution.
● A Solution to the problem:
We will implement an automation process that will recognize the deadlock condition and the long-span running queries and their effectiveness and fine-tune the queries leading to the destruction of timeout issues.
We are done with a solution to the problem, but the strategy of Thinkcloudly believes in the description of every point that came in a solution, and hence let’s have a short glimpse over the technologies used.
● Detail to the technology in use:
SQL Server is a relational database management system used to store, process, and manage data in the database. Its working is based on a relational engine and storage engine. The relational engine process the queries, and the storage engine manages the storage of data files, tables, indexes, and more.