Using Oracle analytic Workspace with Excel

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  Hi all

  I use Oracle 10 g Release 10.0.2

  Here's the situation:

  I visited in my table of looks like this:

  Cust_id beg_dt end_dt sg_cd

  264321502 1 MAY 97 19 MARCH 98 1

  264321502 21 MAY 98 15 OCTOBER 98 6

  264321502 20 OCTOBER 98 22 APRIL 99 6

  264321502 23 APRIL 99 25 APRIL 00 6

  264321502 27 APRIL 00 20 JANUARY 02 6

  264321502 25 JANUARY 02 15 MAY 02 6

  264321502 MAY 21 02 27 MAY 02 6

  264321502 31 MAY 02 17 FEBRUARY 03 6

  264321502 21 FEBRUARY 06 03-7.-04 1

  264321502 25 FEBRUARY 03 25 FEBRUARY 03 1

  264321502 31 MARCH 03 30 APRIL 03 1

  264321502 07 - SEP - 04 26 DECEMBER 04 6

  264321502 29 DECEMBER 04 3 JANUARY 06 6

  264321502 4 JANUARY 06 3 JANUARY 07 12

  264321502 4 JANUARY 06 3 JANUARY 07 12

  264321502 4 JANUARY 06 3 JANUARY 07 12

  I need the results of the query as

  Cust_id beg_dt end_dt sg_cd

  264321502 1 MAY 97 19 MARCH 98 1

  264321502 21 MAY 98 17 FEBRUARY 03 6

  264321502 21 FEBRUARY 03 30 APRIL 03 1

  264321502 07 - SEP - 04 3 JANUARY 06 6

  264321502 4 JANUARY 06 3 JANUARY 07 12

  Basically, I need take a min max (end_dt) of sg_cd for this cust id (beg_dt).

  Any help is very much appreciated:

  My query is like that

  Select cust_id, end_dt, beg_dt, sg_cd,

  min (beg_dt) more (partition of cust_id, sg_Cd) as new_beg_dt,

  Max (end_dt) more (partition of cust_id, sg_cd) as end_Dt_nw

  of cust_tab.

  can be like that?

  1 data

  () 2

  3 select Cust_id 264321502, to_date('01-MAY-97','dd-mon-rr') beg_dt, to_date('19-MAR-98','dd-mon-rr') end_dt, 1 sg_cd of all the double union

  4. Select 264321502, to_date('21-MAY-98','dd-mon-rr'), to_date('15-OCT-98','dd-mon-rr'), 6 Union double all the

  5 select 264321502, to_date('20-OCT-98','dd-mon-rr'), to_date('22-APR-99','dd-mon-rr'), 6 Union double all the

  6. Select 264321502, to_date('23-APR-99','dd-mon-rr'), to_date('25-APR-00','dd-mon-rr'), 6 Union double all the

  7. Select 264321502, to_date('27-APR-00','dd-mon-rr'), to_date('20-JAN-02','dd-mon-rr'), 6 Union double all the

  8 select 264321502, to_date('25-JAN-02','dd-mon-rr'), to_date('15-MAY-02','dd-mon-rr'), 6 Union double all the

  9. Select 264321502, to_date('21-MAY-02','dd-mon-rr'), to_date('27-MAY-02','dd-mon-rr'), 6 Union double all the

  10. Select 264321502, to_date('31-MAY-02','dd-mon-rr'), to_date('17-FEB-03','dd-mon-rr'), 6 Union double all the

  11. Select 264321502, to_date('21-FEB-03','dd-mon-rr'), to_date('06-SEP-04','dd-mon-rr'), 1 Union double all the

  12 select 264321502, to_date('25-FEB-03','dd-mon-rr'), to_date('25-FEB-03','dd-mon-rr'), 1 Union double all the

  13 select 264321502, to_date('31-MAR-03','dd-mon-rr'), to_date('30-APR-03','dd-mon-rr'), 1 Union double all the

  14 select 264321502, to_date('07-SEP-04','dd-mon-rr'), to_date('26-DEC-04','dd-mon-rr'), 6 Union double all the

  15 select 264321502, to_date('29-DEC-04','dd-mon-rr'), to_date('03-JAN-06','dd-mon-rr'), 6 Union double all the

  16 select 264321502, to_date('04-JAN-06','dd-mon-rr'), to_date('03-JAN-07','dd-mon-rr'), 12 Union double all the

  17 select 264321502, to_date('04-JAN-06','dd-mon-rr'), to_date('03-JAN-07','dd-mon-rr'), 12 Union double all the

  18 select 264321502, to_date('04-JAN-06','dd-mon-rr'), to_date('03-JAN-07','dd-mon-rr'), 12 of the double

  (19) - select * from data

  20. Select Cust_id, beg_dt, max (end_dt) as end_dt, min (beg_dt), sg_cd

  21 of

  (22)

  23 select x.*, sum (flg) over (order by end_dt Cust_id partition) as grp

  24 of

  (25)

  26 select

  27 wagneur, case when lag (sg_cd, 1-9) over (order by end_dt Cust_id partition)! sg_cd = 1 END so that flg

  28 from data d

  x 29)

  x 30)

  Group 31 by Cust_id, sg_cd, grp

  32 * order of Cust_id, end_dt

  CUST_ID BEG_DT END_DT SG_CD

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

  264321502 1 MAY 97 19 MARCH 98 1

  264321502 21 MAY 98 17 FEBRUARY 03 6

  264321502 21 FEBRUARY 06 03-7.-04 1

  264321502 07 - SEP - 04 3 JANUARY 06 6

  264321502 4 JANUARY 06 3 JANUARY 07 12

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  Dear expert;

  On this thread, I am using

  Help with this

  but I'll need help more with additional information in this regard. see examples of data below

  Hello experts.

  I use oracle 7.3. Therefore, I have the sample data below

  create the table table_one

  (

  req_week varchar (1000).

  Username varchar (1000).

  sale number (30),

  place varchar (1000).

  break_sales number (30)
  

  );

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  insert into table_one values (' week 1', 'Chris', 20, "TX", 3 ')

  insert into table_one values ("week 1", "Melissa", 80, 'GOES', 4 ')

  insert into table_one values (' week 2', 'Katy', 40 'SC', 1 ")

  insert into table_one values (' week 2', 'Angle', 10, 'NC', 2 ')

  insert into table_one values (' week 2', "Vick", 30, 'CA', 3 ')

  insert into table_one values (' week 3', 'Zack', 60 'CA', 1 ")

  insert into table_one values (' week 3', 'Deb', 60 'NM', 2 ')

  insert into table_one values (' week 3', 'Antoine,"60,"TX", 3 ')

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  I need the top 2 sales in a place a week

  expected results

  req_week username place sales

  Week1 John 100 NY

  Week1 Melissa 80'S

  Semaine2 Katy 40 SC

  Semaine2 Vick 30 CA

  Semaine3 Zack 60 TX

  Semaine3 Deb 60 NM

  Note, in this particular case, if there is equality in sales, then use the break_sales column as a case. The break_sales was never a tie... it is so far the query and it does not work as expected

  SELECT    d.req_week, d.username, d.sales, d.place
  FROM      nikeus_report.dbo.table_one  d
  ,        nikeus_report.dbo.table_one  o
  WHERE    d.req_week  = o.req_week
  AND      d.sales    <=  o.sales   
  GROUP BY  d.req_week, d.username, d.sales, d.place
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  ;
  
  

  Any help is appreciated. Thank you

  Hello

  It seems that your existing query is very good, he's going; Just add the conditions for breaking in the WHERE clause:

  SELECT d.req_week

  d.username

  d.sales

  d.place

  FROM table_one d

  table_one o

  WHERE d.req_week = o.req_week

  AND (d.sales< >

  OR (d.sales = o.sales

  AND d.break_sales > = o.break_sales

  )

  )

  GROUP BY d.req_week

  d.username

  d.sales

  d.place

  HAVING COUNT (*)<=>

  ORDER BY d.req_week

  COUNT (*)

  ;

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