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Analytic Functions in Oracle (10g)

Updated on March 20, 2012

Oracle Analytic Functions

Analyctic functions in Oracle are set of functions and clauses used for arriving statistical informations like sum, average. These functions are more flexible to use and efficient.

Examples: Calculate a running total and moving average, Top-N queries

Earlier, these problems were solved using PL/SQL. But wehn we look for better performance, PL/SQL does not benefit much. Analytical functions provides more benifits with no questions on performance.Though this feature has been intrduced from Oracle 8, many developers does not aware of this. Especially for a pivot table query most of the developers still going for the old approach.

Key benefits

  • Easier to code
  • Faster than a equivalent SQL or PL/SQL
  • No need to test or tune for performance as in the case of custom SQL/PL-SQL

Syntax

<Analytic-Function>(parameter1,parameter2,...)

OVER (

<Partition By column1, column2, .. [Order By column1, column2, .. [ASC/DESC] [NULLS FIRST/LAST] ] >

Order By

Order By column1, column2, .. [ASC/DESC] [NULLS FIRST/LAST]

[ROWS [UNBOUNDED] v_rows PRECEDING/FOLLOWING] / [RANGE [UNBOUNDED] v_range PRECEDING/FOLLOWING]

)

Note: The ROWS/RANGE keywords are called windowing clauses/windowing functions.
 

List of Analytic-Functions

AVG, CORR, COVAR_POP, COVAR_SAMP, COUNT, CUME_DIST, DENSE_RANK, FIRST, FIRST_VALUE, LAG, LAST, LAST_VALUE, LEAD, MAX, MIN, NTILE, PERCENT_RANK, PERCENTILE_CONT, PERCENTILE_DISC, RANK, RATIO_TO_REPORT, STDDEV, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP, VARIANCE.

Example-1: Top-n Query using Oracle Analytic Functions

Below query pulls out top-3 ranked sales figures department wise. Query uses a partition by clause over DENSE_RANK function.

 
SELECT * FROM
(SELECT sale_date, dept_code, sales_amount,
DENSE_RANK() OVER(PARTITION BY DEPT_CODE ORDER BY SALES_AMOUNT DESC) sale_rank
FROM sales_summary_daily)
WHERE sale_rank <=3;
 
 
Below is the resuts of the query. 
 
SALE_DATE DEPT_CODE 	SALES_AMOUNT 	SALE_RANK 
--------- --------- 	--------------  ---------------------- 
28-OCT-03 East 		99998.63	1 
19-SEP-95 East 		99996.64 	2 
08-OCT-85 East 		99942.49 	3 
06-NOV-98 NE 		49995.44 	1 
15-FEB-06 NE 		49991.96 	2 
28-DEC-98 NE 		49988.92 	3 
09-FEB-05 North 	99983.69 	1 
24-DEC-86 North 	99980.99 	2 
22-OCT-02 North 	99973.49 	3 
16-APR-82 SE 		49998.3 	1 
27-JAN-95 SE 		49996.16 	2
14-SEP-83 SE 		49990.52 	3
27-JUL-96 South 	69996.2 	1
15-JAN-06 South 	69993.7 	2
17-AUG-97 South 	69991.29 	3
10-OCT-96 West 		9999.91 	1
23-AUG-94 West 		9998.76 	2
06-SEP-02 West 		9998.51 	3
 
Above query pulls top-3 sales figures for all sales region 
using Oracle analytic functions. Deriving this using 
conventional SQL/PLSQL will be a night mare.

Example-2 Pivot Table Query using Oracle Analytic Functions

SELECT SALE_MONTH, 
MAX(DECODE(sale_rank, 1, dept_code, null)) First,
MAX(DECODE(sale_rank, 2, dept_code, null)) Second,
MAX(DECODE(sale_rank, 3, dept_code, null)) Third
FROM
(SELECT LAST_DAY(SALE_DATE) SALE_MONTH, dept_code, sales_amount,
DENSE_RANK() OVER(PARTITION BY LAST_DAY(SALE_DATE)
ORDER BY SALES_AMOUNT DESC) sale_rank
FROM sales_summary_daily
WHERE SALE_DATE >= '01-JAN-2008'
)
WHERE SALE_RANK <= 3
GROUP BY SALE_MONTH
 
 
SALE_MONTH 	FIRST SECOND THIRD 
--------------- ----- ------ ----- 
31-JAN-08 	North North  North 
29-FEB-08 	North East   North 
30-APR-08 	East  North  East 
30-JUN-08 	North North  North 
31-JUL-08 	East  North  North 
31-AUG-08 	North East   North 
31-MAR-08 	North North  East 
31-MAY-08 	North North  East 
30-SEP-08 	East  North  North 
 

Again using conventional SQL/PLSQL needs more effort to make it efficient. With Oracle 11g, this is even more simplified using the pivot operator.

Comments

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    • selvirajan profile imageAUTHOR

      selvirajan 

      2 years ago from India

      Back here after few years. Glad that still this helped many people.

      Thanks to all the viewers who made this interactive while i am away. Would try to catch up slowly and regularly.

    • giteshtrivedi profile image

      giteshtrivedi 

      6 years ago from USA

      Excellent tips and informative article. Appreciate sharing.

    • profile image

      Oracle Recovery 

      7 years ago

      Very Nice Article.

      Thanx for sharing

    • profile image

      Omkar 

      7 years ago

      It is really helpful sample. Thanks for such a nice article

    • profile image

      M.A.Anwar 

      7 years ago

      I think, row_number(),rank() and dense_rank()wonderful function. I like these most.

    • profile image

      nallapati 

      8 years ago

      thanks

    • profile image

      Cicil  

      8 years ago

      Excellent lead into a deep subject . Thank you .

    • profile image

      Sandeep 

      8 years ago

      Thanks for the article, was so helpful

    • profile image

      John 

      8 years ago

      Hi,

      Read your article. Brilliant job!!

      Would you be, by any chance, interested in volunteering our work at OraclePassport.com? We are doing a Free Community Service to the Oracle Developer Community. We are in short of Skilled people like you. Please contact us in case you are interested.

      Thank you,

      John S

      oraclepassport@gmail.com

    • profile image

      Guna 

      9 years ago

      Very useful, handy and simple samples. i am looking for this for a while. Thanks for such a good article.

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