SQL FUNCTIONS- Shikshaglobe

Content Creator: Satish kumar

SAP HANA Provides following SAP HANA Functions-

Information Type Conversion Function - Data Type transformation capability are utilized to change over one information type to another. The following are rundown of Data Type Conversion capability For example Project, TO_ALPHANUM, TO_BIGINT, TO_BINARY and so on. Date Time Functions - Date Time Function are utilized to change over Date/Time in an alternate organization. For example - ADD_DAYS, ADD_MONTHS, ADD_SECOND, and so on. Fulltext Functions - Fulltext Functions is utilized for text search.

For example - SCORE and so forth.

Number Functions - Number Functions take a numeric worth, or string with numeric characters, as information and return numeric qualities.

For example - ABS, ROUND, POWER, and so on.

String Functions - String Functions take a string as information, process them and return esteem as per capability.

Read More: Analytic View

For example (ASCII, CHAR, CONCAT, and so on.)

Window Functions - Window Functions let client partition result set of a question into gatherings of columns named window segment.

For example RANK (), DENSE_RANK (), ROW_NUMBER (), and so forth.

Different Function-There are a few additional capabilities, which are utilized for the random work. For example - CONVERT_CURRENCY, CURRENT_SCHEMA, and so on.

Set Operator

Unary and Binary Operator

Operator Operation Description

Unary A Unary director applies to one operand Unary notwithstanding operator(+) Unary nullification manager(- ) Logical negation(NOT)

Binary A Binary Operator applies on two operand Multiplicative chairmen ( *,/) Additive managers ( +,- ) Comparison executives ( =,!=,<,>,<=,>=) Logical overseers ( AND, OR )

String Operator

A String Operator is a connection chairman which joins two things like strings, enunciations or constants into one.

Two Vertical Bar "||" is used as the association head.

Connection Operator

Connection overseer is used to check two operand out. Coming up next are overview of Comparison Operator-

Identical to ( = )

More conspicuous Than ( > )

Not precisely ( < )

More conspicuous than or comparable to ( > = )

Not precisely or comparable to ( < = )

Not Equal (!= , <> )

Savvy Operator

Reliable chairman is used in search rules.

For instance WHERE condition1 AND/OR/NOT condition2

Coming up next is summary of reasonable overseer -

Besides - (for instance WHERE condition1 AND condition2)

If both Condition1 AND Condition2 are substantial, Combine condition is legitimate else it will counterfeit.

Then again - (for instance WHERE condition1 OR condition2)

If Condition1 OR Condition2 is substantial, join condition is legitimate or false expecting the two Conditions are misdirecting.

NOT - (for instance WHERE NOT condition)

NOT condition is legitimate If Condition is misdirecting.

Know More: Attribute View

Set Operators

Affiliation - Combines two or many select clarifications or request without duplicate.

Affiliation ALL - Combines two or many select enunciations or question, including all duplicate line.

Merge - Combines two or many select enunciations or request, and return each and every typical segment.

In any case, - Takes the outcome from the essential inquiry and kills line picked continually request.

For instance

I have two table (table1, table2) in which a couple of characteristics are ordinary.

SAP HANA Operator: Union and Union All

We use Set executive (Union, Union ALL, Intersect, except for) these two table in SQL as under.

SQL FUNCTIONS: The Backbone of Modern Data Operations

SQL FUNCTIONS, short for Structured Query Language Functions, play an integral role in managing and manipulating data in databases. In today's digital landscape, where data is the cornerstone of decision-making and innovation, understanding and leveraging SQL FUNCTIONS are crucial skills for professionals across various industries.

Exploring Various Types of SQL FUNCTIONS


Basic functions like SELECT, INSERT, UPDATE, and DELETE form the foundation of SQL operations. They are fundamental in retrieving, adding, modifying, and removing data from databases.


Functions like COUNT, SUM, AVG, and MIN/MAX facilitate analysis by summarizing data. These functions offer insights into datasets by performing calculations on groups of rows.


SQL provides functions to handle date and time data effectively, allowing for tasks such as date formatting, extraction, and manipulation.

Benefits of Pursuing SQL FUNCTIONS

Mastering SQL FUNCTIONS streamlines data operations, enhancing efficiency in database management. By wielding these skills, professionals can swiftly extract and analyze data, contributing to informed decision-making and process optimization within their organizations.

Professional Development and SQL FUNCTIONS

Proficiency in SQL FUNCTIONS significantly elevates career prospects. Industries such as data analysis, business intelligence, and software development actively seek individuals adept in SQL FUNCTIONS, opening doors to diverse opportunities and higher career growth.

Choosing the Right Education Course

Selecting the ideal course to learn SQL FUNCTIONS involves considering factors like course content, accreditation, and flexibility. Both online and traditional education avenues offer distinct advantages, catering to individual learning preferences and schedules.

Future Trends and Innovations in SQL FUNCTIONS

The landscape of SQL FUNCTIONS continues to evolve, driven by technological advancements like machine learning integration and cloud-based solutions. Staying updated on these trends ensures professionals remain relevant and competitive in the job market.

Impact on Student Success

Students equipped with SQL FUNCTION skills have a competitive edge in academic pursuits and future careers. These skills augment problem-solving abilities and analytical thinking, nurturing a valuable asset for their professional journey.

Know More: Bill of Material (BOM) in SAP PP

Addressing Challenges and Solutions

Challenges in learning SQL FUNCTIONS often revolve around complexity and initial comprehension. Employing practice exercises, interactive learning methods, and seeking mentorship can alleviate these challenges.

Pedagogy and Methodology of Teaching

Effective teaching strategies include hands-on practice, real-life scenarios, and interactive sessions to reinforce SQL FUNCTION concepts. Adopting practical approaches fosters better comprehension and retention among learners.

Global Perspective on SQL FUNCTIONS

SQL FUNCTIONS find application worldwide, yet cultural nuances influence their utilization. Understanding diverse perspectives enriches the comprehension of SQL FUNCTION applications across different regions and industries.

SQL FUNCTIONS for Personal Growth

Beyond professional advantages, mastering SQL FUNCTIONS contributes to personal growth by promoting lifelong learning and fostering problem-solving skills applicable in various aspects of life.

Funding and Scholarships

Financial constraints should not hinder the pursuit of SQL FUNCTION education. Several scholarships and funding options exist, easing the financial burden for aspiring learners.

Case Studies: Success Stories

Real-world success stories of individuals who embarked on SQL FUNCTION courses illustrate the transformative impact of acquiring these skills. Their experiences inspire and demonstrate the practical application of SQL FUNCTIONS in diverse fields.


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