Ask in analytic function

Similar Questions

• Use of analytic functions

  Hi gurus,
  I ask someone to enlighten me on the analytical functions.
  I used the following query:

  select * from 
  (select filename,count(regexp_substr(filename,'.*era'))over(  partition by regexp_substr(filename,'.*era') ) cnt
   FROM 
  l_x12n_835_fileinfo where partitionnum=76000 and clntsysnum=76500 and radt>='01-JAN-2010')
  where cnt>1

  The sample result set is:

  FILENAME     CNT
  
  rsmedcalwa.20100105.chpwr.072.era     4
  rsmedcalwa.20100105.chpwr.072.era.1     4
  rsmedcalwa.20100105.chpwr.072.era.2     4
  rsmedcalwa.20100105.chpwr.072.era.3     4
  rsmedcalwa.20100105.chpwr.081.era     3
  rsmedcalwa.20100105.chpwr.081.era.1     3
  rsmedcalwa.20100105.chpwr.081.era.2     3
  rsmedcalwa.20100106.chpwr.088.era     3
  rsmedcalwa.20100106.chpwr.088.era.1     3
  rsmedcalwa.20100106.chpwr.088.era.2     3
  rsmedcalwa.20100108.chppr.363.era.3     4
  rsmedcalwa.20100108.chppr.363.era.1     4
  rsmedcalwa.20100108.chppr.363.era.2     4
  rsmedcalwa.20100108.chppr.363.era     4

  Now, I changed the query to:

  select * from 
  (select filename,count(regexp_substr(filename,'.*era'))over(  partition by regexp_substr(filename,'.*era') order by filename   ) cnt
   FROM 
  l_x12n_835_fileinfo where partitionnum=76000 and clntsysnum=76500 and radt>='01-JAN-2010')
  where cnt>1

  The result set has been

  FILENAME     CNT
  
  rsmedcalwa.20100105.chpwr.072.era.1     2
  rsmedcalwa.20100105.chpwr.072.era.2     3
  rsmedcalwa.20100105.chpwr.072.era.3     4
  rsmedcalwa.20100105.chpwr.081.era.1     2
  rsmedcalwa.20100105.chpwr.081.era.2     3
  rsmedcalwa.20100106.chpwr.088.era.1     2
  rsmedcalwa.20100106.chpwr.088.era.2     3
  rsmedcalwa.20100108.chppr.363.era.1     2
  rsmedcalwa.20100108.chppr.363.era.2     3
  rsmedcalwa.20100108.chppr.363.era.3     4
  rsmedcalwa.20100112.chpwr.175.era.1     2
  rsmedcalwa.20100112.chpwr.175.era.2     3

  (1) I don't understand how the addition of the order by clause changes the count. Could someone explain please?
  When I change this order by order of regexp_substr(filename,'.*era'), it gives me the correct number.
  
  My requirement is to check how many similar file names I.
  
  (2) if there are any other better elsewhere, please let me know.

  Hello

  Analytical functions still carried on in a window of the the result set, which can be smaller than the result set.
  If you have a PARTITION BY clause, the window for each row includes rows with the same values from all the PARTITION BY expressions.
  If you have an ORDER BY clause, the window includes that of a section of consecutive lines in the score, as defined by a windowing clause (in other words, LINES or KEEP them). The default value is "RANGE BETWEEN UNBOUNDED PRECEDING AND LINE CURRENT.

  In your case, if the analytical clause is:

  over(  partition by regexp_substr(filename,'.*era') )
  

  and the line you are looking at a filename = 'rsmedcalwa.20100105.chpwr.072.era.2', the window takes up the entire partition, in other words, all lines whose name includes "rsmedcalwa.20100105.chpwr.072.era". In other words, the window is identical to the partition, because theree is no ORDER BY clause.

  But if you add an ORDER BY clause:

  over(  partition by regexp_substr(filename,'.*era') order by filename   )
  

  then the window (potentially) decreases. Since there is no clause window, the default value 'RANGE BETWEEN UNBOUNDED PRECDING AND a CURRENT LINE' is used, which means that only the lines with a lower or equal to "rsmedcalwa.20100105.chpwr.072.era.2" file name (using the normal string comparison) will affect the results.

  The analytical ORDER BY clause is required for certain features (such as ROW_NUMBER) significance only in regard to certain commands. For the most part fucntions (including COUNTY), the ORDER BY clause is optional, and you do not have to use a. In this case, it seems that you do not want the effect of a smaller than the partition window, just so, do not use an ORDER byclause of Analytics for this function.

  Remember, the analytical ORDER byclause is completely independent the ORDER BY query clause. If you want the result presented in a certain order, use an ORDER BY clause at the end of the query. It will not change the results of the analytical functions.

• analytical function and the aggregate function

  What are the analytical function and the aggregate function. What is the difference between them?

  Hello

  Analytic Functions : -.

  Analytical functions calculate a value of aggregation based on a group of lines. They differ from aggregate functions because they return several rows for each group. The Group of rows is called a window and is defined by the analytic_clause. For each line, a sliding window of lines is defined. The window determines the range of lines used for the calculations for the current line. Window sizes can be based on a physical number of rows or a logic as the time interval.
  Analytical functions are the last set of operations performed in a query with the exception of the last ORDER BY clause. Every joint and every WHERE, GROUP BY and HAVING clauses are met before the analytical functions are handled. As a result, analytic functions can only appear in the select list or the ORDER BY clause.
  Analytical functions are commonly used to calculate cumulative aggregates, moving, centered and considered.

  Aggregate functions : -.

  Aggregate functions return a line of single result based on the groups of lines, rather than on the unique lines. Aggregate functions can appear in selection lists, as well as in the HAVING and ORDER BY clauses. They are commonly used with the GROUP BY clause in a SELECT statement, where Oracle Database splits the rows in a table when asked or seen in groups. In a query that contains a GROUP BY clause, the select list items can be aggregation functions, GROUP BY constant expressions or expressions involving one of them. Oracle applies the functions of aggregation for each group of rows and returns a single result for each group line.
  If you omit the GROUP BY clause, Oracle then applies any aggregate functions in the select list for all rows in the table queried or the view. You use aggregate functions in the HAVING clause to eliminate groups of the output based on the results of aggregate functions, rather than the values of the individual lines of the queried table or view.

  Let me know if you feel any problem understanding.
  Thank you.

  Published by: varun4dba on January 27, 2011 15:32

• Cannot use analytical functions such as lag/lead in odi components 12 c except in the expression

  Hi I am a beginner of ODI 12 c

  I'm trying to get the last two comments made on the product for a given product id. and load them into a target.

  I have a source table something like

  Product SR_NO comments LAST_UPDATED_TS

  1 good car 2015/05/15 08:30:25

  1 car average 2015/05/15 10:30:25

  Jeep 2 super 2015/05/15 11:30:25

  1 car bad 2015/05/15 11:30:25

  Jeep 2 horrible 2015/05/15 09:30:25

  Jeep 2 excellent 2015/05/15 12:30:25

  
  

  I want a target table based on their last timestamp updated as (last two comments)

  
  

  SR_NO Comment1 Comment2

  1                             bad                      average
  

  2 super excellent

  I used the logic below to get records in SQL Developer but in ODI 12 c, I'm not able to do this by mapping a source to the target table by applying analytical functions to the columns in the target table. Can someone help me solve this problem

  SELECT * FROM)

  SELECT SR_NO Comment1, LAG(Comment1,1,) ON Comment2 (SR_NO ORDER BY LAST_UPDATED_TS ASC PARTITION),

  ROW_NUMBER() ON RN (SCORE FROM SR_NO ORDER BY LAST_UPDATED_TS DESC)

  FROM Source_table

  ) M

  WHERE RN = 1

  ;

  UM, I'm afraid that ODI puts the filter too early in the request, if it generates:

  SELECT * FROM)

  SELECT SR_NO Comment1, LAG(Comment1,1,) ON Comment2 (SR_NO ORDER BY LAST_UPDATED_TS ASC PARTITION),

  ROW_NUMBER() ON RN (SCORE FROM SR_NO ORDER BY LAST_UPDATED_TS DESC)

  FROM Source_table

  WHERE RN = 1

  ) M

  ;

  Instead of:

  SELECT * FROM)

  SELECT SR_NO Comment1, LAG(Comment1,1,) ON Comment2 (SR_NO ORDER BY LAST_UPDATED_TS ASC PARTITION),

  ROW_NUMBER() ON RN (SCORE FROM SR_NO ORDER BY LAST_UPDATED_TS DESC)

  FROM Source_table

  ) M

  WHERE RN = 1

  ;

  Even by changing the 'run on Hint"of your component of the expression to get there on the source, the request will stay the same.

  I think the easiest solution for you is to put everything before the filter in a reusable mapping with a signature of output. Then drag this reusable in your mapping as the new source and check the box "subselect enabled."

  Your final mapping should look like this:

  

  It will be useful.

  Kind regards

  JeromeFr

• Which analytical function to use?

  
  Hi gurus,

  DB - Oracle 11 g 2

  I followed the examples of data in the table test_a.

  col1 col2 col3

  -----            -------            --------

  x                 y                   y

  p                 q                  y

  a                b                   y

  p                q                   y

  t                 r                    y

  p                q                   y

  The col3 column is always 'y '. But here's the data p, q, there is repeated 3 times (duplicate) and if this is the case I want to update only the first recordings like "n" col3 it is to say p, q, n. rest will be as it is.

  I am able to get the row_number() for it but not able to do this.

  Select col1, clo2, clo3 row_number() over (partition by col2) arrested by col1 as test_a r_num

  Would it be possible directly by any analytic function?

  Thank you

  SID

  COL4 is logical...

  Something like that?

  with x as)

  Select col1, col2 ' x' 'y', 'y' col3 col4 1 Union double all the

  Select 'p' col1, col2 'q', 'y' col3 col4 2 Union double all the

  Select 'a' col1, col2 'b', 'y' col3 col4 3 of all the double union

  Select 'p' col1, col2 'q', 'y' col3 col4 4 Union double all the

  Select 't' col1, col2 'r', 'y' col3, col4 5 Union double all the

  Select 'p' col1, col2 'q', 'y' col3 col4 6 double

  )

  ---

  Select * from)

  Select x.*,

  ROW_NUMBER() on rn1 (score of col1, col2, col3 col4 sort),

  ROW_NUMBER() on rn2 (partition by col1, col2, col3 col4 desc sorting)

  x

  )

  where rn1 = 1 and rn2 <> 1;

  Understand the logic and simply change SELECT a query to UPDATE...

• Using the analytic function

  Oracle 11g Release 2

  I'm assuming that the best solution is the use of analytical functions.

  create table test3
  ( part_type_id  varchar2(50)
  ,group_id      number
  ,part_desc_id  number
  ,part_cmt      varchar2(50)
  )
  /
  
  insert into test3 values( 'ABC123',1,10,'comment1');
  insert into test3 values( 'ABC123',1,10,'comment2');
  insert into test3 values( 'ABC123',2,15,'comment1');
  insert into test3 values( 'ABC123',2,15,'comment2');
  insert into test3 values( 'EFG123',25,75,'comment3');
  insert into test3 values( 'EFG123',25,75,'comment4');
  insert into test3 values( 'EFG123',25,75,'comment5');
  insert into test3 values( 'XYZ123',1,10,'comment6');
  insert into test3 values( 'XYZ123',2,15,'comment7');
  commit;
  
  select * from test3;
  
  PART_TYPE_ID           GROUP_ID PART_DESC_ID PART_CMT
  -------------------- ---------- ------------ --------------------
  ABC123                        1           10 comment1
  ABC123                        1           10 comment2
  ABC123                        2           15 comment1
  ABC123                        2           15 comment2
  EDG123                        25          75 comment3
  EDG123                        25          75 comment4
  EDG123                        25          75 comment5
  XYZ123                        1           10 comment6
  XYZ123                        2           15 comment7
  
  9 rows selected.
  
  Desired output:
  
  PART_TYPE_ID           GROUP_ID PART_DESC_ID PART_CMT
  -------------------- ---------- ------------ --------------------
  ABC123                        1           10 comment1 
  ABC123                        2           15 comment1
  XYZ123                        1           10 comment1
  XYZ123                        2           15 comment2
  
  RULE: where one part_type_id has multiple (2 or more distinct combinations) of group_id/part_desc_id
  
  NOTE: There are about 12 columns in the table, for brevity I only included 4.
  
  
  
  

  Post edited by: orclrunner was updated desired output and rule

  Hello

  Here's one way:

  WITH got_d_count AS

  (

  SELECT part_type_id, group_id, part_desc_id

  MIN (part_cmt) AS min_part_cmt

  COUNT AS d_count (*) OVER (PARTITION BY part_type_id)

  OF test3

  GROUP BY part_type_id, group_id, part_desc_id

  )

  SELECT DISTINCT

  group_id, part_desc_id, part_type_id, min_part_cmt

  OF got_d_count

  WHERE d_count > 1

  ;

  Output:

  GROUP_ID PART_DESC_ID MIN_PART_CMT PART_TYPE_ID

  ------------ ---------- ------------ ------------

  ABC123 1 10 comment1

  ABC123 2 15 comment1

  XYZ123 1 10 comment6

  XYZ123 2 15 comment7

  Analytical functions, such as the COUNTY and MIN, many global versions, in addition, it can give the same results.  Use the analytical versions when each row of output corresponds to exactly 1 row of input and the aggregate and GROUP BY version when each line of output corresponds to a group of lines 1 or more input.  In this issue, each line of output appears to be a group of input lines having the same group_id, part_type_id, and part_desc_id (I'm guessing just, this only has never stated), so I used GROUP BY to get 1 row of output for every input lines.

• Truncate output of analytical function?

  For example this query:

  Select month, sum (tot_sales) monthly_sales,.

  AVG (Sum (tot_sales)) (any order by month

  between 1 above and 1 below) rolling_avg

  orders

  where year = 2001 and region_id = 6

  Group by month;

  gives me an output which includes several decimal places for the rolling_avg column.

  Is there a way to truncate this? I tried to use the rounded outside the analytical function and surely enough, it didn't work. I can't think otherwise.

  You can use an external selection on the result of this query

  select trunc(rolling_avg) from
  ( rolling_avg query);
  

• Nth salary using the analytic function

  I use under function to calculate second highest with empno and deptno salary.

  Is it possible to get the same result with another query without using Assembly only analytical functions condition.using and windows function is possible to get the desired output?

  SELECT e.empno,

  e.DEPTNO,

  tmp. SAL as second_higher_salary

  FROM emp e,.

  (SELECT Empno,

  DEPTNO,

  SAL,

  DENSE_RANK() (PARTITION BY deptno ORDER of sal) AS rnk

  WCP

  ) tmp

  WHERE tmp.deptno = e.deptno

  and tmp.rnk = 2

  EMPNO DEPTNO SAL

  ---------- ---------- ----------

  7934 10 2450

  7782 10 2450

  7839 10 2450

  7876 20 1100

  7369 20 1100

  7902 20 1100

  7788 20 1100

  7566 20 1100

  7900 30 1250

  7844 30 1250

  7654 30 1250

  7521 30 1250

  7499 30 1250

  7698 30 1250

  7900 30 1250

  7844 30 1250

  7654 30 1250

  7521 30 1250

  7499 30 1250

  7698 30 1250

  Here's my solution:

  Select empno,

  DEPTNO,

  FIRST_VALUE (sal) (PARTITION BY deptno ORDER by sal desc)

  de)

  SELECT EmpNo,

  DEPTNO,

  Decode (DENSE_RANK () OVER (PARTITION BY deptno order by sal desc), 1,-sal, sal) sal

  WCP

  )

  /

  EMPNO

  DEPTNO FIRST_VALUE (SAL) OVER (PARTITIONBYDEPTNOORDERBYSALDESC)

  ---------- ---------- -----------------------------------------------------

  	7782	10	2450
  	7934	10	2450
  	7839	10	2450
  	7566	20	2975
  	7876	20	2975
  	7369	20	2975
  	7788	20	2975
  	7902	20	2975
  	7499	30	1600
  	7844	30	1600
  	7654	30	1600
  	7521	30	1600
  	7900	30	1600
  	7698	30	1600

• Why the different values for an analytic function of the same group/game

  I have the suite of table I'll be using.

  Select * from table1;

  REC_ID | STATUS | DATE_FROM | DATE_TO

  1. C | 7 January 2015 |

  2. H | December 3, 2014. 6 January 2015

  3. H | October 3, 2014. December 2, 2014

  4. H | May 30, 2014. October 2, 2014

  5. H | May 29, 2014 | May 29, 2014

  6. H | April 16, 2014 | May 28, 2014

  7. H | Tuesday, April 25, 2007 April 15, 2014

  INSERT statement if you need.

  TOGETHER TO DEFINE

  CREATE THE TABLE1 TABLE:

  (

  NUMBER OF REC_ID,

  VARCHAR2 (1 BYTE) STATUS NOT NULL,.

  DATE_FROM DATE NOT NULL,

  DATE OF DATE_TO

  );

  Insert into TABLE1

  (REC_ID, STATUS, DATE_FROM)

  Values

  (1, 'C', TO_DATE (7 JANUARY 2015 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'));))

  Insert into TABLE1

  (REC_ID, STATUS, DATE_FROM, DATE_TO)

  Values

  (2, 'H', TO_DATE (3 DECEMBER 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'), TO_DATE (6 JANUARY 2015 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'));))

  Insert into TABLE1

  (REC_ID, STATUS, DATE_FROM, DATE_TO)

  Values

  (3, 'H', TO_DATE (3 OCTOBER 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'), TO_DATE (2 DECEMBER 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'));))

  Insert into TABLE1

  (REC_ID, STATUS, DATE_FROM, DATE_TO)

  Values

  (4, 'H', TO_DATE (MAY 30, 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'), TO_DATE (2 OCTOBER 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'));))

  Insert into TABLE1

  (REC_ID, STATUS, DATE_FROM, DATE_TO)

  Values

  (5, 'H', TO_DATE (29 MAY 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'), TO_DATE (29 MAY 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'));))

  Insert into TABLE1

  (REC_ID, STATUS, DATE_FROM, DATE_TO)

  Values

  (6, 'H', TO_DATE (APRIL 16, 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'), TO_DATE (28 MAY 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'));))

  Insert into TABLE1

  (REC_ID, STATUS, DATE_FROM, DATE_TO)

  Values

  (7, 'H', TO_DATE (APRIL 25, 2007 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'), TO_DATE (APRIL 15, 2014 00:00:00 ',' DD/MM/YYYY HH24:MI:SS'));))

  COMMIT;

  I will exercise more analytical query...

  Select rec_id date_from, date_to, status,

  min (date_from) over (partition by order of status by date_from desc) min_dt_from_grp,

  ROW_NUMBER() over (partition by order of status by date_from desc) rownumberdesc,

  ROW_NUMBER() over (partition by order of status by ASC date_from) rownumberasc

  FROM table1;

  the query result

  REC_ID | DATE_FROM | DATE_TO | STATUS | MIN_DT_FROM_GRP | ROWNUMBERDESC | ROWNUMBERASC

  1. 7 January 2015 | C | 7 January 2015 | 1. 1

  2. December 3, 2014. 6 January 2015 | H | December 3, 2014. 1. 6

  3. October 3, 2014. December 2, 2014 | H | October 3, 2014. 2. 5

  4. May 30, 2014. October 2, 2014 | H | May 30, 2014. 3. 4

  5. May 29, 2014 | May 29, 2014 | H | May 29, 2014 | 4. 3

  6. April 16, 2014 | May 28, 2014. H | April 16, 2014 | 5. 2

  7. Tuesday, April 25, 2007 April 15, 2014. H | Tuesday, April 25, 2007 6. 1

  If you look at the output above, it dates back in the min_dt_from_grp column.

  MY question is if the analytical function calculates for a particular/set group, which is by statute and for what min (date_from) partition is 25-apr-2007 for the GROUP H (Status column), then why I have different values returned by the query above in the min_dt_from_grp column.

  Hello

  Because you have specified an ORDER BY clause for the analytical function. In doing so, you calculate the rows on a window. Since you have not specified a windowing clause, the default applies:

  RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW

• Analytical functions: FIRST vs FIRST_VALUE

  Hello

  Can someone please help me understand the difference between PRIME and FIRST_VALUE in Anaytic functions.

  I tried below 2 queries, but I see the same output. The only difference I see is that the field of the SAL is ordered FIRST_VALUE, but not the FIRST.

  SELECT ename,

  DEPTNO,

  SAL,

  MIN (SAL) keep (dense_rank FIRST

  ORDER BY sal) by (deptno partition) FIRST

  EMP;

  SELECT ename,

  DEPTNO,

  SAL,

  FIRST_VALUE (SAL) over (partition BY deptno arrested by sal) FIRST

  EMP;

  With the help of: Windows 8.1

  Database Oracle 12 c Enterprise Edition Release 12.1.0.1.0 - 64 bit Production

  PL/SQL Release 12.1.0.1.0 - Production

  "CORE 12.1.0.1.0 Production."

  AMT for 64-bit Windows: Version 12.1.0.1.0 - Production

  NLSRTL Version 12.1.0.1.0 - Production

  Hello

  Here is an example of when you can use the FIRST analytic function.

  Say you want the average sal for each Department, but only for the first year (taken from the hiredate column) in the Department (i.e., the column called f in the query below).

  WITH got_hireyear AS

  (

  SELECT deptno and ename, sal, hiredate

  EXTRACT (YEAR FROM hiredate) AS hireyear

  FROM scott.emp

  )

  SELECT deptno, hireyear, hiredate, ename, sal

  AVG (sal) DUNGEON (DENSE_RANK FIRST ORDER BY hireyear)

  COURSES (PARTITION BY deptno

  ) In the FORM f

  FIRST_VALUE (sal) over (PARTITION BY deptno

  ORDER BY hireyear

  ) AS fv

  AVG (sal) over (PARTITION BY deptno

  hireyear

  ), A

  OF got_hireyear

  ORDER BY deptno

  hireyear

  ename

  ;

  Output:

  HIREYEAR ENAME SAL HIREDATE DEPTNO F FV HAS
  ------ ---------- ----------- ---------- ------ --------- ------ ---------
  10 1981 9 June 1981 CLARK 2450 2450 3725,00 3725.00
  10 1981 17 November 1981 KING 5000 3725,00 2450 3725.00
  10 1982 23 January 1982 MILLER 1300 3725,00 2450 1300.00

  20, 1980, 17 December 1980 SMITH 800 800.00 800.00 800
  20, 1981, 3 December 1981 FORD 3000 800.00 800 2987.50
  20, 1981, 2 April 1981 JONES 2975 800.00 800 2987.50
  20, 1987, 23 May 1987 ADAMS 1100 800.00 800 2050.00
  20, 1987, 19 April 1987 SCOTT 3000 800.00 800 2050.00

  30 1981 20 February 1981 ALLEN 1600 1566.67 950 1566.67
  May 30 1981 1st 1981 BLAKE 2850 1566.67 950 1566.67
  December 30 1981 3 1981 JAMES 950 1566.67 950 1566.67
  30 1981 28 - sep - 1981 MARTIN 1250 1566.67 950 1566.67
  30-08 - sep - 1981 1981 TURNER 1500 1566.67 950 1566.67
  30 1981 22 February 1981 WARD 1250 1566.67 950 1566.67

  The analytical FIRST_VALUE function can do (except in the very special case where only 1 row has the lowest hireyear, as in deptno = 20).  AVG analysis can do (except in the very special case that all lines have the same hireyear as in deptno = 30).

• without analytic function

  Hello experts.

  I have data similar to what follows below

  create table t1
  (
    id number(30),
    description varchar(4000)
  
  
  );
  
  insert into t1 values (1, 'zone');
  insert into t1 values (2, 'small');
  
  
  create table t2
  (
     id number(30),
     place varchar(4000),
     info varchar(4000)
  
  );
  
  insert into t2 values (1, 'USA', 'Class U');
  insert into t2 values (1, 'Mexico', 'Class M');
  insert into t2 values (2, 'Germany', 'Class G');
  

  I need help with something similar to what follows below without using any analytic function

  Description of the ID info Place

  1 box USA class U

  Mexico 1 M class

  2 small Germany class G

  Any help is appreciated. Thank you

  Hello

  user13328581 wrote:

  ... I use an older version of oracle. Oracle 7.

  Normally, your developers are older than your software.

  You should be able to do what you want with a self-join on t2; a copy (d) should be displayed, and the other copy (c) contains all related values you need for comparison.

  SELECT t2d.id

  DECODE (t2d.place

  MAX (t2c.place)

  t1.description

  ) AS description

  t2d.place

  t2d.info

  FROM t1

  , t2 t2d - display

  t2 t2c - compare

  WHERE t1.id = t2d.id

  AND t2d.id = t2c.id

  GROUP BY t1.description

  t2d.id

  t2d.place

  t2d.info

  ORDER BY t2d.id

  t2d.place DESC

  ;

  Output:

  ID DESCRIPTION PLACE INFO

  ---------- -------------------- -------------------- --------------------

  1 box USA class U

  Mexico 1 M class

  2 small Germany class G

  I've tested this in Oracle 11, but it should work in Oracle 7.

  If this isn't the case, you may need to create a view.

• Analytic Functions

  Hello

  Don't you know that it is the analytical function used to access an earlier date for example table RRODUCT

  Date	amount CN code
  25/09/2012	1000	20
  26/09/2013	2000	15
  27/09/2011	1000	8
  28/09/2012	2000	12
  29/09/2013	2000	2
  30/09/2004	1000	4

  and this table contains more than 1000 lines in difeerent years now, I want to get the amount in a given year and the previous year like this 20 + 15 + 12 + 4

  I need analytical control that find the previous year 2012 if my year 2013 or find out if 2010 my 2011 yeaar

  You can use the YEAR-1 right? SHIFT of analytic function can be used to access the previous line. Your condition is to get the value of the previous year and previous row not. If this isn't what you are looking for then can you post output necessary for data provided?

• analytical functions in oracle

  Hi I am new to oracle analytical functions

  I do not know how to use and where to use real-time, please send me the useful any url for it.

  I read in the Oracle Documentation , but it's not understand for me.

  Please provide me with any other useful URL, I'll read to those.if you have examples, please report it in the present.

  Thank you

  Check this box:

  ORACLE-BASE - Analytic Functions

  Analytical functions for example. Oracle FAQ

• Drive the analytic function

  
  Hello

  I have a doubt about this analytical function to lead,

  I have this table,

  create table test3 (no number, name varchar2 (30));

  
  Insert into TEST3 (NO, NAME) values (1, 'fen');
  Insert into TEST3 (NO, NAME) Values (3, 'DEN');
  Insert into TEST3 (NO, NAME) values (2, 'Sun');
  Insert into TEST3 (NO, NAME) values (2, 'sen');
  Insert into TEST3 (NO, NAME) values (1, 'end');
  COMMIT;

  I put like that with this request.

  
  Select lead don't (don't) over (partition by any order of name), name of test3.

  NO NAME

  1 fen
  end
  2 Sun
  Sen
  DEN

  But I need as below output, I am unable to get the third 'NO' that has a value, I get null for that, even if I partitioned
  by the 'NO '.

  NO NAME

  1 fen
  end
  2 Sun
  Sen
  3 DEN

  Please clear my doubt.

  Thanks in advance.

  Like this

  Select decode (NWR, 1, no, null) no

  name

  de)

  Select row_number() over (partition by any order by name) rno

  None

  name

  of test3

  )

• Analytical function?

  Hello

  I have two tables b rates and transactions (b).

  For each b.FS, I want to know new amount (b.amt time a.rate to the corresponding line of FS b and if a.na is valid based on the flag of the exclusion and the interval defined in the table's).

  It is much easier to explain with an example.

  So here we go...

  Exclude_flag = E (exclude): for b.fs = 433638, b.na = 80000. I have 2 lines in the table for this fs.  Both have E exclude_flag (exclude).  I want to go on all the lines in this FS in the table in a query and I return only one row in the result, if and only if b.na falls out of scope of a.na_min_value and a.na_max_values.  In this example, it falls outside the range excluded for both lines (first two lines of the table a).

  Similarly, exclude_flag = I (Include). for b.fs = 432828, b.na = 17200. I have 2 lines in the table for this fs.  Both have an exclude_flag of I (include).  I want to go on all the lines in this FS in the table in a query and I return only one row in the result, if and only if b.na is between a.na_min_value and a.na_max_values.  In this example, it falls in the range of both the range include for the two lines (line 6 and 7 of the table a).

  The following query gives me two lines for each b.fs.  It is possible to get what I'm looking for simply using sql (possibly write the analytical function?) or I have to write the pl/sql routine for this?

  WITH rates_table

  Did YOU (select ' E' include_exclude_flag, "81000 ' na_min_value, na_max_value '81999', '433638' FS, 0.8 of double rate

  UNION

  Select 'E' include_exclude_flag, na_min_value '84000', na_max_value '84999', '433638' FS, 0.8 of double rate

  UNION

  Select 'I' include_exclude_flag, na_min_value '12000', na_max_value '12999', '432828' FS, rate 0.25 double

  UNION

  Select 'I' include_exclude_flag, na_min_value '13000', na_max_value '13999', '432828' FS, rate 0.25 double

  UNION

  Select 'I' include_exclude_flag, na_min_value '15000', na_max_value '15000', '432828' FS, rate 0.25 double

  UNION

  Select 'I' include_exclude_flag, na_min_value '16100', na_max_value '18000', '432828' FS, rate 0.25 double

  UNION

  Select 'I' include_exclude_flag, '17100' na_min_value, na_max_value '18000', '432828' FS, rate 0.25 double

  UNION

  Select 'I' include_exclude_flag, na_min_value '02440', na_max_value '02470', '016532' FS, 0.35 rate double

  UNION

  Select 'E' include_exclude_flag, na_min_value ' 21000 ', '21000' na_max_value, ' 200020' FS, 0.35 double rate).

  transaction_table AS

  (select '433638' FS '80000' NA, 300 double amt)

  Union

  Select '432828' FS '17200' NA, amt 500 double

  )

  Select * from rates_table a, transaction_table b

  where 1 = 1

  and ((b.na PAS entre a.na_min_value et a.na_max_value et a.include_exclude_flag = «E») GOLD ())

  b.na between a.na_min_value and a.na_max_value and a.include_exclude_flag = 'I'))

  and b.fs = a.fs

  ;

  Any help is greatly appreciated.  I use oracle 11i

  @OP,

  For this kind of problems, we get the number of rows that satisfy the required conditions or who do not meet the required conditions. And then eliminate the line that should be eliminated.

  As below, I calculate four counts (number of join lines)

  EOBCNT - excluded and Out of Bound

  EIBCNT - excluded and in the limit

  IOBCNT - included and Out of Bound

  IIBCNT - included and within the limits

  Once those are calculated, simply return the lines that have EIBCNT and IOBCNT are zero.

  For Ex:

  > WITH

  rates_table

  AS LONG AS)

  Select 'E' include_exclude_flag, na_min_value '79999', na_max_value '79999', '433638' FS, 0.8 double UNION rates

  -Select 'E' include_exclude_flag, na_min_value ' 79999', na_max_value '80000', '433638' FS, 0.8 double UNION rate - TEST - THE

  -If you uncomment the last line and then 433638 will not be returned

  Select 'E' include_exclude_flag, "81000 ' na_min_value, na_max_value '81999', '433638' FS, 0.8 double UNION rates

  Select 'E' include_exclude_flag, na_min_value '84000', na_max_value '84999', '433638' FS, 0.8 double UNION rates

  Select 'I' include_exclude_flag, na_min_value '12000', na_max_value '12999', '432828' FS, 0.25 rate double UNION

  Select 'I' include_exclude_flag, na_min_value '13000', na_max_value '13999', '432828' FS, 0.25 rate double UNION

  Select 'I' include_exclude_flag, na_min_value '15000', na_max_value '15000', '432828' FS, 0.25 rate double UNION

  Select 'I' include_exclude_flag, na_min_value '16100', na_max_value '18000', '432828' FS, 0.25 rate double UNION

  Select 'I' include_exclude_flag, '17100' na_min_value, na_max_value '18000', '432828' FS, 0.25 rate double UNION

  Select 'I' include_exclude_flag, na_min_value '02440', na_max_value '02470', '016532' FS, 0.35 rate double UNION

  Select 'E' include_exclude_flag, na_min_value ' 21000 ', '21000' na_max_value, ' 200020' FS, 0.35 double rate).

  transaction_table AS

  (select '433638' FS '80000' NA, amt 300 Union double

  Select '432828' FS '17200' NA, amt 500 double

  )

  getcnts as)

  SELECT a.*

  b.na, b.amt

  , sum (case when (b.na NOT BETWEEN a.na_min_value)

  AND a.na_max_value

  AND a.include_exclude_flag = 'E '.

  end) then 1 else 0) on (a.fs partition) Eobcnt

  , sum (case when (b.na NOT BETWEEN a.na_min_value)

  AND a.na_max_value

  AND a.include_exclude_flag = 'I '.

  end) then 1 else 0) on (a.fs partition) Iobcnt

  , sum (case when (b.na BETWEEN a.na_min_value)

  AND a.na_max_value

  AND a.include_exclude_flag = 'E '.

  end) then 1 else 0) on (a.fs partition) Eibcnt

  , sum (case when (b.na BETWEEN a.na_min_value)

  AND a.na_max_value

  AND a.include_exclude_flag = 'I '.

  end) then 1 else 0) on (a.fs partition) Iibcnt

  OF rates_table one

  transaction_table b

  WHERE b.fs = a.fs

  )

  getrows as)

  Select x.*, row_number() on

  (partition by order of fs with null desc) getcnts rn x

  where IOBCNT = 0 and eibcnt = 0 - remove lines that are not needed (IF and ONLY if)

  )

  Select * from getrows

  where rn = 1 - to limit a SINGLE row (arbitrarily)

  INCLUDE_EXCLUDE_FLAG NA_MIN_VALUE NA_MAX_VALUE FS RATE NA AMT EOBCNT IOBCNT EIBCNT IIBCNT RN

  -------------------- ------------ ------------ ------ ---------- ----- ---------- ---------- ---------- ---------- ---------- ----------

  433638 84999 84000.8 E 80000 300 3 0 0 0 1

  I hope this helps.