FIRST_VALUE() and LAST_VALUE Analytic Functions

Similar Questions

• 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).

• Analytical functions, model indexes and multiple dimensions.

  I don't understand the notion of analytic functions (windowing clause) in the regulation of a model clause. I discovered an ordinary table as one-dimensional, and I can understand the concept of window, just like a line on a segment line. However with the models, there are several dimensions, so I guess that the window to become a kind of cube, instead of a line segment. But I'm not.
  
  For example, I have a matrix sparse 2D, with 5 values non-zero:
  

  select * from field
    where f is not null
  
  X     Y     F
  -----------------
  5     8     X
  6     6     X
  6     8     X
  7     7     X
  7     8     X

  I guess that the following clause of the model
  

  with t as(
    select *
      from field
     model
       reference old_field
         on
         (
           select * from field
         )
         dimension by (x, y)
         measures     (f)
       main new_field
         dimension by (x, y)
         measures     (cast(f as varchar2(3)) f)
         rules
         (
           f[x,y] = max(old_field.f) over (order by old_field.y range between 1 preceding and 1 following)
         ))
  select * from t
    where f is not null

  to assign for each cell up among its neighbors vertical 2. Just like
  

  0 0 0      0 X 0
  0 X 0  ->  X X 0
  X 0 0      X X 0

  But the real result is all NULL values.

  Hello

  with a as
  (
  select
  level L
  from
  dual
  connect by level < 4
  )
  
  select
       X
       ,Y
       ,Z
       ,X*3+Y
  
  from
       a          A1
       ,A     A2
  
  model
       dimension by ( A1.L X, A2.L Y )
       MEASURES (0 Z)
       RULES
       (
       Z[X,Y] = COUNT(Z) OVER (ORDER BY X * 3 + Y RANGE BETWEEN 1 PRECEDING AND 1 FOLLOWING)
       )
  
  X Y Z X*3+Y
  - - - -----
  1 1 2     4
  1 2 3     5
  1 3 3     6
  2 1 3     7
  2 2 3     8
  2 3 3     9
  3 1 3    10
  3 2 3    11
  3 3 2    12 
  
   9 rows selected 
  

  for x, y = 1.1, there is no previous rank if it is not counted. current line + line = 2
  for x, y = 1, 2, the previous line + line current + more rank = 3
  for x, y = 1.3 the previous line + line current + more rank = 3
  for x, y = 2, 1, the previous line + line current + more rank = 3
  ...
  for x, y = 3, 2 the previous line + line current + more rank = 3
  for x, y = 3, 3 the stored previous + current line = 2. There is no next line.

  What exectly not understand you?

  Kind regards
  Peter

• 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

• More help with analytical functions

  I had great hellp here yesterday and I need once more today. I guess I'm still not able to get a solid understanding of analytical functions. So here's the problem:
  table with 3 collars:
  product_id (int), sale_date (to date), count_sold (int) - each file show that the number of items have been sold for the product at a given date.
  The query should return the 3 passes of the table AND a fourth column that contains the date with the best sales of the product. If there are two or more dates with equal sales, the last being is chosen.
  
  Is this possible using an analytical function appropriately and without using a subquery?
  
  example:
  product_id, sale_date, count_sold, high_sales_date
  1, 01-01-2008, 10, 05/10/2008,.
  1, 2008-03-10, 20, 10/05/2008
  1, 10/04/2008, 25, 05/10/2008
  1, 10/05/2008, 25, 05/10/2008
  1, 01/06/2008, 22, 05/10/2008
  2, 05/12/2008, 12, 05/12/2008
  2, 06/01/2009, 10, 05/12/2008
  
  Thank you

  Hello

  Try this:

  SELECT     product_id
  ,     sale_date
  ,     count_sold
  ,     FIRST_VALUE (sale_date) OVER ( PARTITION BY  product_id
                                 ORDER BY          count_sold          DESC
                             ,               sale_date          DESC
                           )      AS high_sales_date
  FROM     table_x;
  

  If you would post INSERT statements for your data, then I could test it.

  Focus issue: Why use FIRST_VALUE with descending order and not LAST_VALUE (ASCending) ORDER of default?

• 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

• Return one row of an analytic function

  Hello

  I pulled the following query:

  Select ID_STORNO, first_value (COD_CONTATTO) ON (Partition of COD_CONTATTO

  order of COD_PRIORITY asc, desc FT_DAT_OPEN_CNT

  rows between unbounded preceding and following unbounded)

  as COD_CONTATTO_LAST

  of WT_STR_ESG_CONTATTO;

  The result is:

  2160603	C1-H83J1N
  2160603	C8-9FOHXJS

  2258072

  C1-H83J1N

  But I just need to take the following lines

  2160603

  C8-9FOHXJS

  2258072

  C1-H83J1N

  Because for the same value of ID_STORNO, I just need to get a value of COD_CONTATTO (to select the best value using COD_PRIORITY and FT_DAT_OPEN_CNT). What is wrong inside the query? I just use 2 or 3 times the oracle analytic functions.

  Best regards

  As SomeoneElse... you need a where clause clause in order to choose the ones you want.

  To do this, the typical is to select a column that you use for this reason, such as:

  "I want to just the first record in each group..."

  Select id_storno, cod_contatto_last from)

  Select ID_STORNO, first_value (COD_CONTATTO) ON (Partition of COD_CONTATTO

  order of COD_PRIORITY asc, desc FT_DAT_OPEN_CNT

  rows between unbounded preceding and following unbounded)

  as COD_CONTATTO_LAST,

  ROW_NUMBER() OVER (Partition of COD_CONTATTO

  order of COD_PRIORITY asc, desc FT_DAT_OPEN_CNT

  rows between unbounded preceding and following unbounded)

  as rnum

  of WT_STR_ESG_CONTATTO

  )

  where rnum = 1

  /

  I prefer to use rownumber in this case, so I always have a rnum = 1...

  Usually, you must use the same partition/command by as your other folders (it is usually a good idea... maybe not, depending on your needs, however)

• Analytical function - max_distinct

  Hello world
  
  (a) I have a request tht returns multiple rows for a student
  
  (b) to simplify my query, is columns
  
  Student ID, Academic_Period, student, Expected_Graduation_Date status
  
  (c) If a student has several status codes
  AS - active
  THE - leave
  
  He gets 2 rows to display.
  
  (d) I want to show only the rows
  
  Maximum preference on the Date of graduation
  
  (e) so I made this calc:
  
  MAX_DISTINCT (Expected_Graduation_Date) OVER (PARTITION BY ID.)
  
  and received the error:
  data types incompatible number got date scheduled
  
  (f) so I did:
  
  MAX_DISTINCT (TO_NUMBER (Expected_Graduation_Date)) OVER (PARTITION BY ID.)
  
  and received the error:
  invalid number
  
  (g) so I changed to max on alpha field of: student status
  MAX_DISTINCT (student status) OVER (PARTITION BY Id)
  
  and received the error:
  invalid number
  
  (h) is the right function to use?
  What's doing FIRST_VALUE.
  
  Your ideas and your advice would be appreciated, tx, Sandra

  Hello

  You need not use analytical functions. Try to create these calculations to replace the columns where there are different values:

  student_status_last = keep max (student_status) (last dense_rank order by Expected_Graduation_Date)

  Expected_Graduation_Date_last = max (Expected_Graduation_Date)

  Rod West

• Need help to resolve the query by using analytic functions

  Hello
  
  I need help to solve this problem, I tried an analytical function but could not solve the problem.
  
  I have three table as illustrated below the table is filled with a flat file. The records are arranged sequentailly based on the name of the file.
  
  The first record of the game based on EIN goes to TAB_RCE
  the following records then goes to TAB_RCW
  and last save of the game based on EIN goes to the RCT table
  
  How can I make groups and
  assign a
  
  EIN * 12345 * line number * 02, 03, 04 * in the table TAB_RCW and * 05 * in the table TAB_RCT
  EIN * 67890 * line number * 07, 08, 09,10 * in the table TAB_RCW and * 11 * in the table TAB_RCT
  and so on...
  
  Thank you
  
  Rajesh
  
  TAB RCE_--------------------------------------------------------------
  LineNumber EIN FILENAME TYPE
  
  -----
  
  01 12345 ABC NCE. TXT
  06 67890 ABC NCE. TXT
  12 76777 ABC NCE. TXT
  
  -----
  TAB_RCW
  -----
  LineNumber TYPE SSN FILENAME
  -----
  02 22222 ABC RCW. TXT
  03 33333 ABC RCW. TXT
  04 44444 ABC RCW. TXT
  07 55555 ABC RCW. TXT
  08 66666 ABC RCW. TXT
  09 77777 ABC RCW. TXT
  10 88888 ABC RCW. TXT
  13 99998 ABC RCW. TXT
  14 99999 ABC RCW. TXT
  
  -----
  TAB_RCT
  -----
  NAME OF THE FILE OF TYPE LINENUMBER
  -----
  RCT 05 ABC. TXT
  RCT 11 ABC. TXT
  RCT 15 ABC. TXT
  -----

  SQL> with TAB_RCE as (
    2                   select 'RCE' rtype,'01' linenumber, '12345' EIN,'ABC.TXT' FILENAME from dual union all
    3                   select 'RCE','06','67890','ABC.TXT' from dual union all
    4                   select 'RCE','12','76777','ABC.TXT' from dual
    5                  ),
    6       TAB_RCW as (
    7                   select 'RCW' rtype,'02' linenumber,'22222' ssn,'ABC.TXT' FILENAME from dual union all
    8                   select 'RCW','03','33333','ABC.TXT' from dual union all
    9                   select 'RCW','04','44444','ABC.TXT' from dual union all
   10                   select 'RCW','07','55555','ABC.TXT' from dual union all
   11                   select 'RCW','08','66666','ABC.TXT' from dual union all
   12                   select 'RCW','09','77777','ABC.TXT' from dual union all
   13                   select 'RCW','10','88888','ABC.TXT' from dual union all
   14                   select 'RCW','13','99998','ABC.TXT' from dual union all
   15                   select 'RCW','14','99999','ABC.TXT' from dual
   16                  ),
   17       TAB_RCT as (
   18                   select 'RCT' rtype,'05' linenumber,'ABC.TXT' FILENAME from dual union all
   19                   select 'RCT','11','ABC.TXT' from dual union all
   20                   select 'RCT','15','ABC.TXT' from dual
   21                  )
   22  select  rtype,
   23          last_value(ein ignore nulls) over(partition by filename order by linenumber) ein,
   24          linenumber,
   25          ssn
   26    from  (
   27            select  rtype,
   28                    linenumber,
   29                    ein,
   30                    to_char(null) ssn,
   31                    filename
   32              from  TAB_RCE
   33            union all
   34            select  rtype,
   35                    linenumber,
   36                    to_char(null) ein,
   37                    ssn,
   38                    filename
   39              from  TAB_RCW
   40            union all
   41            select  rtype,
   42                    linenumber,
   43                    to_char(null) ein,
   44                    to_char(null) ssn,
   45                    filename
   46              from  TAB_RCt
   47          )
   48    order by linenumber
   49  /
  
  RTY EIN   LI SSN
  --- ----- -- -----
  RCE 12345 01
  RCW 12345 02 22222
  RCW 12345 03 33333
  RCW 12345 04 44444
  RCT 12345 05
  RCE 67890 06
  RCW 67890 07 55555
  RCW 67890 08 66666
  RCW 67890 09 77777
  RCW 67890 10 88888
  RCT 67890 11
  
  RTY EIN   LI SSN
  --- ----- -- -----
  RCE 76777 12
  RCW 76777 13 99998
  RCW 76777 14 99999
  RCT 76777 15
  
  15 rows selected.
  
  SQL> 
  

  SY.

• 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);
  

• 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

• 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.