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1,[object Object],Using ORACLE®,[object Object],Using functions,[object Object],(single row and aggregate functions),[object Object],And the ‘GROUP BY ‘ clause,[object Object]
2,[object Object],FUNCTIONS,[object Object],We have many functions in Oracle that can be used to perform a myriad of tasks.,[object Object],There are two types of functions viz:,[object Object],Functions take input ,process it and provide the output.,[object Object],Single row functions operate only on one row (1 input and 1 output),[object Object],Aggregate functions can operate on a range of rows  ,[object Object],( multiple inputs and one output),[object Object]
3,[object Object],FUNCTIONS,[object Object],Single row functions can be divided into different parts as:,[object Object],Character,[object Object],Single row functions,[object Object],Number,[object Object],General,[object Object],Conversion,[object Object],Date,[object Object]
4,[object Object],CHARACTER FUNCTIONS,[object Object],Case manipulation functions,[object Object],Character manipulation functions,[object Object]
5,[object Object],CHARACTER FUNCTIONS,[object Object],SELECTprod_ID, INITCAP  (prod_name) , CONCAT ('Rs ',prod_cost) AS COST ,[object Object],FROM  product_master,[object Object],WHERE prod_name LIKE(  LOWER  ('TEAK%'));,[object Object],SELECTprod_ID, UPPER   (prod_name) , CONCAT  ('Rs ',prod_cost) AS COST ,[object Object],FROM  product_master,[object Object],WHERE prod_name LIKE (  CONCAT  ( '%',  SUBSTR  ( 'teak_sofa', 6, 4  )));,[object Object],Equivalent to LIKE ( ‘%sofa’);,[object Object]
6,[object Object],NUMBER FUNCTIONS,[object Object],SELECT ROUND   (3.14126,4), TRUNC   (3.14126,4) , MOD    ( 22, 7 ) ,[object Object],FROM DUAL     ;,[object Object],(DUAL is a dummy table in Oracle used to perform calculations.),[object Object],SELECTprod_ID , prod_name , ROUND(  MOD       (prod_stock,prod_order),0)                            AS REORDER_LVL,[object Object],FROM product_master,[object Object],ORDER BY REORDER_LVL;,[object Object],(Here we use the alias name to order the output),[object Object]
7,[object Object],DATE FUNCTIONS,[object Object],We can use either MONTH or YEAR as parameters in the ROUND and TRUNC functions.,[object Object]
8,[object Object],DATE MANIPULATIONS,[object Object],Apart from the date functions we can also perform arithmetic operations on dates as:.,[object Object],Adding or subtracting a number to or from a date to get a resultant date.,[object Object],Subtracting two dates to find the number of days between those dates.,[object Object],Adding hours to a date by dividing the number of hours by 24.,[object Object],SELECT   SYSDATEASTODAY,,[object Object],			(SYSDATE+1) AS NEXT_DAY,,[object Object],			(SYSDATE-1) AS PREV_DAY,[object Object],FROM DUAL;,[object Object]
9,[object Object],CONVERSION FUNCTIONS,[object Object],Here in the TO_NUMBER function we are converting the string ‘2000’ to a number 2000.,[object Object],In TO_DATE we have to specify the format of the output date and ,[object Object],In TO_CHAR we have to specify the format of input date to be converted to a string,[object Object]
10,[object Object],GENERAL FUNCTIONS,[object Object],SELECT prod_ID, prod_name, NVL       (prod_order,0),  NVL2   (prod_sales,'YES','NO'), ,[object Object],NULLIF  	(prod_stock,(prod_order+prod_sales))  AS NULLIF,[object Object],FROM product_master;,[object Object]
11,[object Object],AGGREGATE FUNCTIONS,[object Object],Aggregate functions take multiple rows as input and give one output. The SYNTAX is:,[object Object],SELECT  column1,column2…….aggregate_function( column)…,[object Object],FROMtable_name,[object Object],WHERE (expression/condition);,[object Object]
12,[object Object],AGGREGATE FUNCTIONS,[object Object],SELECT   COUNT  (prod_ID) AS COUNT,  MIN  (prod_cost) AS MINIMUM,  ,[object Object],MAX  (prod_sales) AS MAXIMUM,   AVG   (prod_cost) AS AVERAGE,  ,[object Object],SUM  (prod_stock) AS SUM, ROUND( STDDEV   (prod_sales),3) AS STD_DEVIAYION,,[object Object],ROUND(  VARIANCE   (prod_stock),3) AS VARIANCE,[object Object],FROM product_master;,[object Object],(We can also use ‘*’ in COUNT and ‘DISTINCT’ in AVG ),[object Object]
13,[object Object],GROUP BY CLAUSE,[object Object],When we wish to divide the table into multiple groups based on some criterion we use the ‘GROUP BY’ clause.,[object Object],It is mandatory that while using a group by clause we include the column used in the group must not be used in a aggregate function in the SELECT statement.,[object Object],SYNTAX:,[object Object],SELECT  column1,column2…….aggregate_function( column)…,[object Object],FROMtable_name,[object Object],GROUP BY column,[object Object],WHERE (expression/condition);,[object Object],It is mandatory to use the group by clause when displaying  any column along with a aggregratefunction.We can also use multiple columns in the group by clause.,[object Object],Use the WHERE clause to furthur filter results.,[object Object]
THANK YOU,[object Object],14,[object Object],THANK YOU FOR VIEWING THIS PRESENTATION,[object Object],FOR MORE PRESENTATIONS AND VIDEOS ON ORACLE AND DATAMINING ,,[object Object],please visit:  ,[object Object],www.dataminingtools.net,[object Object]

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Oracle: Functions

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