SAP HANA Tutorial
SAP HANA Introduction
SAP HANA Modeling
SAP HANA Reporting
SAP HANA Security
SAP HANA Data Replication
SAP HANA Monitoring
SAP HANA SQL
SAP HANA Useful Resources
Selected Reading
SAP HANA Introduction
- SAP HANA - Core Architecture
- SAP HANA - Information Modeler
- SAP HANA - System Monitor
- Studio Administration View
- SAP HANA - Studio
- In-Memory Computing Engine
- SAP HANA - Overview
SAP HANA Modeling
- SAP HANA - Export and Import
- SAP HANA - Information Composer
- SAP HANA - Analytic Privileges
- SAP HANA - Calculation View
- SAP HANA - Analytic View
- SAP HANA - Attribute View
- SAP HANA - Packages
- SAP HANA - Tables
- SAP HANA - Data Warehouse
- SAP HANA - Modeling
SAP HANA Reporting
- SAP HANA - Excel Integration
- SAP HANA - Crystal Reports
- Bi 4.0 Connectivity to HANA Views
- SAP HANA - Reporting View
SAP HANA Security
- SAP HANA - Auditing
- SAP HANA - License Management
- SAP HANA - Authorization methods
- SAP HANA - Authentications
- User Administration & Management
- SAP HANA - Security Overview
SAP HANA Data Replication
- SAP HANA - MDX Provider
- SAP HANA - CTL Method
- SAP HANA - DXC Method
- SAP HANA - Log Based Replication
- SAP HANA - ETL Based Replication
- SAP HANA - Data Replication Overview
SAP HANA Monitoring
- SAP HANA - Log Configuration
- SAP HANA - High Availability
- SAP HANA - Backup & Recovery
- SAP HANA - Persistent Layer
- SAP HANA - Monitoring and Alerting
SAP HANA SQL
- SAP HANA - SQL Script
- SAP HANA - SQL Data Profiling
- SAP HANA - SQL Explain Plans
- SAP HANA - SQL Synonym
- SAP HANA - SQL Triggers
- SAP HANA - SQL Sequences
- SAP HANA - SQL Stored Procedures
- SAP HANA - SQL Expressions
- SAP HANA - SQL Functions
- SAP HANA - SQL Operators
- SAP HANA - Data Types
- SAP HANA - SQL Overview
SAP HANA Useful Resources
- SAP HANA - Discussion
- SAP HANA - Useful Resources
- SAP HANA - Quick Guide
- SAP HANA - Questions and Answers
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
SAP HANA - SQL Operators
SAP HANA - SQL Operators
An operator is a special character used primarily in SQL statement s with WHERE clause to perform operation, such as comparisons and arithmetic operations. They are used to pass conditions in a SQL query.
Operator types given below can be used in SQL statements in HANA −
Arithmetic Operators
Comparison/Relational Operators
Logical Operators
Set Operators
Arithmetic Operators
Arithmetic operators are used to perform simple calculation functions pke addition, subtraction, multippcation, spanision and percentage.
| Operator | Description |
|---|---|
| + | Addition − Adds values on either side of the operator |
| - | Subtraction − Subtracts right hand operand from left hand operand |
| * | Multippcation − Multippes values on either side of the operator |
| / | Division − Divides left hand operand by right hand operand |
| % | Modulus − Divides left hand operand by right hand operand and returns remainder |
Comparison Operators
Comparison operators are used to compare the values in SQL statement.
| Operator | Description |
|---|---|
| = | Checks if the values of two operands are equal or not, if yes then condition becomes true. |
| != | Checks if the values of two operands are equal or not, if values are not equal then condition becomes true. |
| <> | Checks if the values of two operands are equal or not, if values are not equal then condition becomes true. |
| > | Checks if the value of left operand is greater than the value of right operand, if yes then condition becomes true. |
| < | Checks if the value of left operand is less than the value of right operand, if yes then condition becomes true. |
| >= | Checks if the value of left operand is greater than or equal to the value of right operand, if yes then condition becomes true. |
| <= | Checks if the value of left operand is less than or equal to the value of right operand, if yes then condition becomes true. |
| !< | Checks if the value of left operand is not less than the value of right operand, if yes then condition becomes true. |
| !> | Checks if the value of left operand is not greater than the value of right operand, if yes then condition becomes true. |
Logical operators
Logical operators are used to pass multiple conditions in SQL statement or are used to manipulate the results of conditions.
| Operator | Description |
|---|---|
| ALL | The ALL Operator is used to compare a value to all values in another value set. |
| AND | The AND operator allows the existence of multiple conditions in an SQL statement s WHERE clause. |
| ANY | The ANY operator is used to compare a value to any apppcable value in the pst according to the condition. |
| BETWEEN | The BETWEEN operator is used to search for values that are within a set of values, given the minimum value and the maximum value. |
| EXISTS | The EXISTS operator is used to search for the presence of a row in a specified table that meets certain criteria. |
| IN | The IN operator is used to compare a value to a pst of pteral values that have been specified. |
| LIKE | The LIKE operator is used to compare a value to similar values using wildcard operators. |
| NOT | The NOT operator reverses the meaning of the logical operator with which it is used. Eg − NOT EXISTS, NOT BETWEEN, NOT IN, etc. This is a negate operator. |
| OR | The OR operator is used to compare multiple conditions in an SQL statement s WHERE clause. |
| IS NULL | The NULL operator is used to compare a value with a NULL value. |
| UNIQUE | The UNIQUE operator searches every row of a specified table for uniqueness (no duppcates). |
Set Operators
Set operators are used to combine results of two queries into a single result. Data type should be same for both the tables.
UNION − It combines the results of two or more Select statements. However it will epminate duppcate rows.
UNION ALL − This operator is similar to Union but it also shows the duppcate rows.
INTERSECT − Intersect operation is used to combine the two SELECT statements, and it returns the records, which are common from both SELECT statements. In case of Intersect, the number of columns and datatype must be same in both the tables.
MINUS − Minus operation combines result of two SELECT statements and return only those results, which belong to first set of result and epminate the rows in second statement from the output of first.