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PIVOTING DATA

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Pivot operator transposes an aggregated row of a table into a column.

Te distinct row values become te columns in te output and aggregated column value places itself

under te appropriate pivoted column. Te s!nta" of Pivot operator is as below.

#$%$&T '&O%()N*#+,

O) 'TA/%$ NA)$,

PIVOT '0)%,

* pivot1clause

pivot1for1clause

pivot1in1clause +

23$$ '&ONDITION#,

'0)%, 4 optional clause to convert te pivoted data into 0)%

PIVOT1&%A(#$ uses an aggregate function on one of te column of te table. Tis is te data

wic places itself against te pivoted column accordingl!. PIVOT1O1&%A(#$ and PIVOT1IN1&%A(#$ specif! a column and its distinct values

wic are to be pivoted. In a transposed report5 te distinct values of te pivoted column appear as

te eader in te output. /ot are mandator! clauses5 so distinct values of te column must be in

and.

A retail firm maintains te trac6 of customer sales in tree products *Product1A5

Product1/5 Product1&+ for te monts of 7anuar!5 ebruar! and )arc. Te sales data is collected

for tree privileged customers &85 &9 and &:.

Te relational table &(#T1#A%$# stores te data for eac customer against eac

product in eac mont. Te table data is as below

Now5 we sall pivot te table data to give a new anal!tic dimension. efer te below cases.

Case 1: Customer sales in each month for each product

POD(&T1ID column of te &(#T1#A%$# table as been pivoted in te below ;uer!. Now

observe te beaut! and intelligence of Pivot operator< it retains te positions of remaining columns*i.e. &(#TO)$1ID and )ONT3+ and formats te sales data in accordance wit te pivoted

column. Also note tat te POD(&T1ID is no more a column but its distinct values i.e. Prod A5

http://www.dbanotes.com/wp/wp-content/uploads/2011/09/Oracle-11g-Pivot-functions9.jpg

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Prod /5

Prod & are transposed as te column eader in te ;uer! output.

#$%$&T = O) &(#T1#A%$#

PIVOT

*

#()*#A%$#+O POD(&T1ID

IN *>Prod A?5 >Prod /?5 >Prod &?+

+

In te above ;uer!5 note te aggregated function5 O clause and IN clause of Pivot operator.

Case 2: Customer sales for each product in each month

Now5 canging te angle of perception b! replacing POD(&T1ID wit te )ONT3 at te eader

level. Distinct values of )ONT3 appear as column in te ;uer! output.

#$%$&T = O) &(#T1#A%$#

PIVOT

*

#()*#A%$#+

O )ONT3

IN *>7an? as @7anuar!5 >eb? as @ebruar!5 >)ar? as @)arc+

+

In te ;uer!5 note tat if te value*s+ of te pivoted column ad to ave a customiBed title for better

readabilit!5 te same can be specified using @A# 6e!word. In te &(#T1#A%$# table5 abbreviated

values of te )ONT3 column ave been replaced wit teir complete names.

&$AT$ TA/%$ pivot1test *

id N()/$5

customer1id N()/$5 product1code VA&3A9*C+5

;uantit! N()/$

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