The Query Optimizer is a component of a database management system that determines the most efficient way to execute a given SQL query by evaluating different execution plans. To optimize a query, you can:
1. Use proper indexing.
2. Avoid SELECT * and specify only the needed columns.
3. Use WHERE clauses to filter data early.
4. Analyze and rewrite complex joins.
5. Use EXPLAIN to understand the query execution plan.
6. Limit the use of subqueries and consider using JOINs instead.
7. Optimize data types and avoid unnecessary type conversions.
```sql
SELECT * FROM employment WHERE salary BETWEEN 1000 AND 5000;
```
A function returns a value and can be used in expressions, while a procedure does not return a value and is used to perform actions.
```sql
SELECT
COUNT(*) AS working_days
FROM
(SELECT
DATE_FORMAT(date_column, '%Y-%m-%d') AS work_date
FROM
your_table
WHERE
MONTH(date_column) = desired_month
AND YEAR(date_column) = desired_year
AND DAYOFWEEK(date_column) NOT IN (1, 7) -- Exclude Sundays (1) and Saturdays (7)
) AS subquery;
```
To change a password for an existing user via `mysqladmin`, use the following command:
```bash
mysqladmin -u username -p'old_password' password 'new_password'
```
Replace `username`, `old_password`, and `new_password` with the appropriate values.
No, SQL Server does not support a "finally" block like some other programming languages.
The default type of constants and variables supported by TSL (Test Script Language) is "string."
The MySQL category on takluu.com is tailored for candidates aiming to master the fundamentals and advanced concepts of relational databases. Whether you’re a backend developer, data analyst, DBA, or full-stack engineer, understanding MySQL is essential for working with structured data in real-world applications.
MySQL is one of the most widely used open-source relational database management systems (RDBMS). It is trusted by small startups to large-scale enterprises due to its reliability, scalability, and performance. Interviewers often assess candidates on their ability to write efficient SQL queries, understand relational concepts, normalize data, and manage indexing and performance tuning.
In this section, you’ll find carefully curated interview questions covering a range of topics, including:
-
Basic SQL queries (SELECT, INSERT, UPDATE, DELETE)
-
Joins (INNER, LEFT, RIGHT, FULL)
-
Grouping and aggregate functions (GROUP BY, COUNT, SUM, AVG)
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Subqueries and nested queries
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Indexing and performance optimization
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Transactions, ACID properties, and locks
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Stored procedures, triggers, and views
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User management and privileges
This category not only prepares you for syntax-based questions but also for scenario-based problems, such as query optimization, handling large datasets, designing database schemas, and managing concurrency issues.
Our goal is to help you answer MySQL questions with clarity and confidence, demonstrating both your theoretical understanding and practical experience. With real-life examples and mock interview challenges, you’ll be well-prepared to face technical rounds at companies ranging from startups to MNCs.
Use this category as your go-to resource to strengthen your MySQL knowledge, whether you’re preparing for a developer, analyst, or database administrator role.