COALESCE: This
function is used to return the first non-NULL expression from a list. At least
two expressions must be contained in expression_list, and all expressions must
be comparable. The result will be NULL if all the arguments are NULL.
Syntax: COALESCE
(expression_list)
Example: SELECT COALESCE(‘A’,’B’,’C’) AS COAL_ESCE FROM DUMMY
Example: SELECT COALESCE(‘A’,’B’,’C’) AS COAL_ESCE FROM DUMMY
Ans: A
(first not null value).
SELECT COALESCE(NULL,’B’,’C’)AS COAL_ESCE FROM DUMMY
Ans: B
(First not null value)
GREATEST: This function is used to return the
greatest value among the arguments: n1, n2, …
Syntax: GREATEST
(<argument> [{, <argument>}…])
Example: SELECT GREATEST(12,45,75,32) AS “HIGHEST VALUE” FROM DUMMY
Example: SELECT GREATEST(12,45,75,32) AS “HIGHEST VALUE” FROM DUMMY
Ans: 75
(Highest value from the given input values)
GROUPING: GROUPING function can be used with
GROUPING SETS/ROLLUP/CUBE that return multiple levels of aggregations in a
single result set.
GROUPING(column) returns 1 if column is used in grouping and 0 otherwise. The column of GROUPING must be an element of the GROUPING SETS.
GROUPING(column) returns 1 if column is used in grouping and 0 otherwise. The column of GROUPING must be an element of the GROUPING SETS.
Syntax: GROUPING(column_name)
Example:
Example:
GROUPING_ID: GROUPING_ID function can be used with
GROUPING SETS/ROLLUP/CUBE that return multiple levels of aggregations in a
single result set.
Syntax: GROUPING_ID(column_name_list)
IFNULL: This function is used to return the
first not NULL input expression.
Returns expression1 if expression1 is not NULL.
Returns expression2 if expression1 is NULL.
Returns NULL if both input expressions are NULL.
Returns expression1 if expression1 is not NULL.
Returns expression2 if expression1 is NULL.
Returns NULL if both input expressions are NULL.
Syntax: IFNULL
(expression1, expression2)
Example: SELECT IFNULL(2,3) AS “IF NULL” FROM DUMMY
Example: SELECT IFNULL(2,3) AS “IF NULL” FROM DUMMY
Ans: 2
(result is first value because it is not null)
SELECT IFNULL(NULL,3) AS “IF
NULL” FROM DUMMY
Ans: 3
(result is second value because first value is null)
LEAST: This function is used to return the
least value among the arguments: <n1>, <n2>…
Syntax: LEAST
(<n1> [, <n2>]…)
Example: SELECT LEAST(57,32,47) AS “LEAST VALUE” FROM DUMMY
Example: SELECT LEAST(57,32,47) AS “LEAST VALUE” FROM DUMMY
Ans: 32
(Least value among the input values)
MAP: This function is used to search for an
expression within a set of search values and returns the corresponding result.
If the expression value is not found and default_result is defined, MAP returns default_result.
If the expression value is not found and default_result is not defined, MAP returns NULL.
If the expression value is not found and default_result is defined, MAP returns default_result.
If the expression value is not found and default_result is not defined, MAP returns NULL.
Syntax: MAP
(<expression>, <search>, <result> [{, <search>,
<result>}…] [, default_result])
Example: SELECT MAP(‘A’,’A’,’B’,’C’) AS “MAP” FROM DUMMY
Example: SELECT MAP(‘A’,’A’,’B’,’C’) AS “MAP” FROM DUMMY
Ans: B
(expression ‘A’ is same as ‘A’ so the results is ‘B’)
SELECT MAP(‘A’,’D’,’B’,’C’) AS “MAP” FROM DUMMY
Ans: C
(expression A is not equal to ‘D’ so the result is ‘C’)
Note: we
can also use CASE as an alternative function to MAP. This function is perfect
replacement for DECODE function in ORACLE Database.
NULLIF: NULLIF compares the values of two input
expressions. If the first expression equals the second expression, NULLIF
returns NULL.
If expression1 does not equal expression2, NULLIF returns expression1.
If expression2 is NULL, NULLIF returns expression1.
If expression1 does not equal expression2, NULLIF returns expression1.
If expression2 is NULL, NULLIF returns expression1.
Syntax: NULLIF
(expression1, expression2)
Example: SELECT NULLIF(‘A’,’A’) AS “NULL IF” FROM DUMMY
Example: SELECT NULLIF(‘A’,’A’) AS “NULL IF” FROM DUMMY
Ans: null/blank
(expression 1 is equal to expression 2)
SELECT NULLIF(‘A’,’B’) AS “NULL
IF” FROM DUMMY
Ans: A
(expression 1 is not equal to expression 2)
SESSION_CONTEXT: This function is used to return the
value of session_variable assigned to the current user.
Syntax: SESSION_CONTEXT(session_variable)
Example: SELECT SESSION_CONTEXT(‘APPLICATIONUSER’) FROM DUMMY
Example: SELECT SESSION_CONTEXT(‘APPLICATIONUSER’) FROM DUMMY
Ans: SAP_STUDENT
(Application user set for the current session)
Note: variables
can be set manually using SET SESSION <Variable Name> = <Value>.
SESSION_USER: This function is used to return the user
name of the current session.
Syntax: SESSION_USER
Example: SELECT SESION_USER AS “SESSION USER” FROM DUMMY
Example: SELECT SESION_USER AS “SESSION USER” FROM DUMMY
Ans: SAP_STUDENT
(user for current session)
Note: This
function is available only from HANA SP10.
SYSUUID: This
function is used to return a new universally unique identifier, generated by
the connected SAP HANA instance. Each call of SYSUUID returns a new UUID value.
SYSUUID calls from multiple connections are internally serialized to guarantee
unique value generation.
Syntax: SYSUUID
Example: SELECT SYSUUID AS “SYS UNIQUE NUMBER” FROM DUMMY
Example: SELECT SYSUUID AS “SYS UNIQUE NUMBER” FROM DUMMY
Ans:
55AEB003F1DE0B6EE10000007F000101 (unique number generated by the system).
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