Not case sensitive by default
mysql query are not case sensitive by default.because is a simple query that is looking for 'VALUE','value','VaLuE',etc..
SELECT * FROM 'table' WHERE column= 'value'.
Available Drivers in MySQL:
PHP Driver.
CAP11PHP Driver.
JDBC Driver.
RUBY Driver.
ODBC Driver.
PERL Driver.
C WRAPPER.
PYTHON Driver.
ouble has 2x more precision then float. float is a 32 bit IEEE 754 single precision Floating Point Number1 bit for the sign, (8 bits for the exponent, and 23* for the value), i.e. float has 7 decimal digits of precision.
Minimal super key
Primary Key is a unique and non-null key which identify a record uniquely in table. ... A table can have only one primary key. Candidate key is also a unique key to identify a record uniquely in a table but a table can have multiple candidate keys.
INT − A normal-sized integer that can be signed or unsigned. If signed, the allowable range is from -2147483648 to 2147483647. If unsigned, the allowable range is from 0 to 4294967295. You can specify a width of up to 11 digits.
TINYINT − A very small integer that can be signed or unsigned. If signed, the allowable range is from -128 to 127. If unsigned, the allowable range is from 0 to 255. You can specify a width of up to 4 digits.
SMALLINT − A small integer that can be signed or unsigned. If signed, the allowable range is from -32768 to 32767. If unsigned, the allowable range is from 0 to 65535. You can specify a width of up to 5 digits.
MEDIUMINT − A medium-sized integer that can be signed or unsigned. If signed, the allowable range is from -8388608 to 8388607. If unsigned, the allowable range is from 0 to 16777215. You can specify a width of up to 9 digits.
BIGINT − A large integer that can be signed or unsigned. If signed, the allowable range is from -9223372036854775808 to 9223372036854775807. If unsigned, the allowable range is from 0 to 18446744073709551615. You can specify a width of up to 20 digits.
FLOAT(M,D) − A floating-point number that cannot be unsigned. You can define the display length (M) and the number of decimals (D). This is not required and will default to 10,2, where 2 is the number of decimals and 10 is the total number of digits (including decimals). Decimal precision can go to 24 places for a FLOAT.
DOUBLE(M,D) − A double-precision floating-point number that cannot be unsigned. You can define the display length (M) and the number of decimals (D). This is not required and will default to 16,4, where 4 is the number of decimals. Decimal precision can go to 53 places for a DOUBLE. REAL is a synonym for DOUBLE.
DECIMAL(M,D) − An unpacked floating-point number that cannot be unsigned. In the unpacked decimals, each decimal corresponds to one byte. Defining the display length (M) and the number of decimals (D) is required. NUMERIC is a synonym for DECIMAL.
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:
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Basic SQL queries (SELECT, INSERT, UPDATE, DELETE)
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Joins (INNER, LEFT, RIGHT, FULL)
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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.
