my cursor wanders on different lines, while I type

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  Hi dude

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  "Billy Boy Dee" wrote in the new message: * e-mail address is removed from the privacy... *

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• SQl query to find out time between the different lines of transactions

  (See both images from an attachment to get the clear picture of the data and understand the question correctly.)

  I have a set of data like this in one of my paintings. (This is a simple representation of the original data.)

  Reference table1.jpg

  Id        | Type               | Value | Start_date | End_date

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

  ZTR0098 | ALLOW | 0 | 1 JUN | 2 JUN |

  ZTR0098 | ADTAX | 0 | 1 JUN | 2 JUN |

  ZTR0098 | MXTAX | 0 | 1 JUN | 9 JUN |

  ZTR0098 | ALLOW | 4. 3 JUN | 15 JUN |

  ZTR0098 | ADTAX | 44.00 | 3 JUN | 17-JUNE |

  ZTR0098 | MXTAX | 2. 10 JUN | 17-JUNE |

  ZTR0098 | ALLOW | 5. 16-JUNE | 20 JUN |

  ZTR0098 | ADTAX | 55,34 | 18 JUN | 22 JUN |

  ZTR0098 | MXTAX | 1. 18 JUN | 25 JUN |

  ZTR0098 | MXTAX | 6. 26 JUN | 31 AUG |

  ZTR0098 | ADTAX | 20.09. 23 JUN | 23 JUL |

  ZTR0098 | ALLOW | 8. 21 JUN | 31 AUG |

  ZTR0098 | ADTAX | 45. 24 JUL | 31 AUG |

  each line has a type and a rasthaus id to it. ID belongs to other parent tables. the value of each type is given, and the validity of each value is followed by a field start_date and end_date.

  All values start from 1 - JUN and expires on 31 - AUG. Now my requirement is to obtain a report that gives three columns for three different types (ALLOW, ADTAX and MXTAX) with combination of unique values in the effective time interval. Let me put the result below.

  Reference table2.jpg

  Id         | ALLOW | ADTAX | MXTAX |  Start_date | End_date

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

  ZTR0098 | 0 | 0 | 0 | 1 JUN | 2 JUN |

  ZTR0098 | 4. 44.00 | 0 | 3 JUN | 9 JUN |

  ZTR0098 | 4. 44.00 | 2. 10 JUN | 15 JUN |

  ZTR0098 | 5. 44.00 | 2. 16-JUNE | 17-JUNE |

  ZTR0098 | 5. 55,34 | 1. 18 JUN | 20 JUN |

  ZTR0098 | 8. 55,34 | 1. 21 JUN | 22 JUN |

  ZTR0098 | 8. 20.09. 1. 23 JUN | 25 JUN |

  ZTR0098 | 8. 20.09. 6. 26 JUN | 23 JUL |

  ZTR0098 | 8. 45. 6. 23 JUL | 31 AUG |

  As you can see there are no duplicate rows for a combination of (ALLOW, ADTAX and MXTAX) with their respective dates in force. resulting in the above table. the first step is to convert lines to the column which is pretty obvious to do that by grouping on start_date and end_date colum, but the real deal is the time interval during which the combination of the values (ALLOW, ADTAX, and MXTAX) has remained constant.

  I wrote under query using Group by.

  Select

  ID,

  NVL (max (decode (type, "ALLOW", value)), 0) as ALLOW

  NVL (max (decode (type, 'ADTAX', value)), 0) as ADTAX

  NVL (max (decode (type, 'MXTAX', value)), 0) as MXTAX

  Start_date,

  End_date

  from my_table

  Group of start_date, end_date, id

  start_date, end_date

  the results it gives are like this:

  Reference table3.jpg

  Id       | ALLOW | ADTAX | MXTAX |  Start_date | End_date

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

  ZTR0098 | 0 | 0 | 0 | 1 JUN | 2 JUN |

  ZTR0098 | 0 | 0 | 2. 1 JUN | 9 JUN |

  ZTR0098 | 4. 0 | 0 | 3 JUN | 15 JUN |

  ZTR0098 | 0 | 44.00 | 0 | 3 JUN | 17-JUNE |

  ZTR0098 | 0 | 0 | 2. 10 JUN | 17-JUNE |

  ZTR0098 | 5. 0 | 0 | 16-JUNE | 20 JUN |

  ZTR0098 | 0 | 55,34 | 0 | 18 JUN | 22 JUN |

  .   .

  . .

  like wise

  but I'm not able to determine the time intervals by using the SQL query.

  with

  Table1 as

  (select the id 'ZTR0098', 'ALLOW' type, 0 val, to_date('1-JUN','dd-MON') start_date, end_date Union to_date('2-JUN','dd-MON') double all the)

  Select 'ZTR0098', 'ADTAX', 0, to_date('1-JUN','dd-MON'), to_date('2-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'MXTAX', 0, to_date('1-JUN','dd-MON'), to_date('9-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'ALLOW', 4, to_date('3-JUN','dd-MON'), to_date('15-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'ADTAX', 44.00, to_date('3-JUN','dd-MON'), to_date('17-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'MXTAX', 2, to_date('10-JUN','dd-MON'), to_date('17-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'ALLOW', 5, to_date('16-JUN','dd-MON'), to_date('20-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'ADTAX', 55.34, to_date('18-JUN','dd-MON'), to_date('22-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'MXTAX', 1, to_date('18-JUN','dd-MON'), to_date('25-JUN','dd-MON') of all the double union

  Select 'ZTR0098', 'MXTAX', 6, to_date('26-JUN','dd-MON'), to_date('31-AUG','dd-MON') of all the double union

  Select 'ZTR0098', 'ADTAX', 20.09, to_date('23-JUN','dd-MON'), to_date('23-JUL','dd-MON') of all the double union

  Select 'ZTR0098', 'ALLOW', 8, to_date('21-JUN','dd-MON'), to_date('31-AUG','dd-MON') of all the double union

  Select 'ZTR0098', 'ADTAX', 45, to_date('24-JUL','dd-MON'), to_date('31-AUG','dd-MON') of the double

  ),

  days like

  (select level - 1 dte + to_date('1-JUN','dd-MON')

  of the double

  connect by level<= to_date('31-aug','dd-mon')="" -="" to_date('1-jun','dd-mon')="" +="">

  )

  Select id, allow, adtax, mxtax, min (dte) start_date, max (dte) end_date

  (select ID, dte, max (allow) allow, max (adtax) adtax, max (mxtax) mxtax,

  ROW_NUMBER() over (order by dte) row_number() - courses (partition by order max (allow), max (adtax), max (mxtax) by dte) gr

  go (select id, dte,

  -case when type = 'ALLOW' and dte between start_date and end_date then end val 0 otherwise allow.

  -case when type = "ADTAX" and dte between start_date and end_date then val 0 otherwise end adtax.

  -case when type = "MXTAX" and dte between start_date and end_date then val 0 otherwise end mxtax

  Table 1 t,

  days d

  where d.dte between t.start_date and t.end_date

  )

  Group by id, dte

  )

  Group by id, gr, allow, adtax, mxtax

  order by id, gr

  ID	ALLOW	ADTAX	MXTAX	START_DATE	END_DATE
  ZTR0098	0	0	0	01/06/2015	02/06/2015
  ZTR0098	4	44	0	03/06/2015	09/06/2015
  ZTR0098	4	44	2	10/06/2015	15/06/2015
  ZTR0098	5	44	2	16/06/2015	17/06/2015
  ZTR0098	5	55,34	1	18/06/2015	20/06/2015
  ZTR0098	8	55,34	1	21/06/2015	22/06/2015
  ZTR0098	8	20.09	1	23/06/2015	25/06/2015
  ZTR0098	8	20.09	6	26/06/2015	23/07/2015
  ZTR0098	8	45	6	24/07/2015	31/08/2015

  Concerning

  Etbin

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• By comparing the Dates in a group of data (different lines)

  I have a requirement where I have to compare dates in a dataset for each employee.  The data looks like this:

  WITH test_data AS

  (SELECT the '1' AS pk, '5900' AS emp_id, '5' AS rec_id, to_date('01-JAN-2014') AS rec_date FROM dual

  UNION ALL

  SELECT '2', '5900', '5', to_date('01-FEB-2014') FROM dual

  UNION ALL

  SELECT '3', '5900', '5', to_date('01-MAR-2014') FROM dual

  UNION ALL

  SELECT '4', '5900', '5', to_date('01-JAN-2014') FROM dual

  UNION ALL

  SELECT '5', '5900', '6', to_date('06-JAN-2014') FROM dual

  UNION ALL

  SELECT '6', '5900', '6', NULL FROM dual

  UNION ALL

  SELECT '7', '5900', '6', to_date('01-JUL-2014') FROM dual

  UNION ALL

  SELECT '8', '5900', '7', to_date('29-JAN-2014') FROM dual

  UNION ALL

  SELECT '9', '5900', '7', to_date('29-SEP-2014') FROM dual

  UNION ALL

  SELECT '10', '5900', '7', to_date('01-OCT-2014') FROM dual

  UNION ALL

  SELECT '11', '8595', '5', to_date('01-SEP-2014') FROM dual

  UNION ALL

  SELECT '12', '8595', '6', to_date('05-SEP-2014') FROM dual

  UNION ALL

  SELECT '13', '8595', '7', to_date('30-SEP-2014') FROM dual

  UNION ALL

  SELECT '14', '8595', '7', NULL FROM dual

  )

  REC_ID column is composed of 3 different types of records, which must satisfy this requirement:

  REC_ID 5 acts as point of departure, and REC_ID 6 must have a REC_DATE within 7 days of REC_ID 5 REC_ID 7 must have a REC_DATE within 30 days of REC_ID 6.

  • If the requirements are any record in REC_ID 5 acts like zero day or the starting point;
  • Any record in REC_ID 6 must be within 7 days of the date of REC_ID 5;
  • Any record in REC_ID 7 must be within 30 days from 6 REC_ID.

  My results:

  Expected results - satisfactory records

  EMP_ID

  DATE_1

  DATE_2

  DATE_3

  5900

  1 January 14

  6 January 14

  29 January 14

  8595

  1 sep-14

  5 sep-14

  30 sep-14

  I don't know how to compare dates in a dataset that are on different lines.  I thought using self-joins, query using the window as rank (), factoring functions, but I'm stuck pretty quickly.

  I appreciate all help.  Thank you!

  Aqua

  Hello

  AquaNX4 wrote:

  WOW odie_63: it would be a blessing if I was... but unfortunately, I'm on 10 gr 2.  That would have been great!

  Frank Kulash:

  I'm stuck (mentally) to the fact that there is an amount without discernment of records in the base table for each type of REC_ID.

  Some employees have 5 folders for REC_ID, 10 REC_ID 6 and 7 for REC_ID 7, which leaves me confused in how many self-joins I should do, or if it is at all possible.  I did a lot of arithmetic of dates with the data on the same line and certain ranks () functions for data residing on different lines, but this 1 seems to confuse me...

  I ran 1 self-join as below to see what it looks like and it confused me even more because I know the timestamp of the arithmetic in where clause still will not produce data as I want...  I am now trying another way...

  SELECT td2.rec_id,

  TD2.emp_id,

  TD2.rec_date

  Of

  test_data2 td2

  LEFT JOIN test_data td1 ON td1.emp_id = td2.emp_id

  
  

  It's a good start.

  You want an inner join, however, not an outer join, not you?  Outer join means "include td2 lines if they have data in the corresponding TD1".  If I understand the question, you are only interested in cases where it is matching data.

  Here's a way to do it:

  WITH joined_data AS

  (

  SELECT d5.emp_id

  d5.rec_date LIKE date_1

  d6.rec_date AS date_2

  d7.rec_date AS date_3

  ROW_NUMBER () OVER (PARTITION BY d5.emp_id

  ORDER BY d5.rec_date

  d6.rec_date

  d7.rec_date

  ) AS r_num

  OF test_data d5

  JOIN test_data d6 ON d6.emp_id = d5.emp_id

  AND d6.rec_date > = d5.rec_date

  AND d6.rec_date<= d5.rec_date="" +="">

  JOIN test_data d7 ON d7.emp_id = d6.emp_id

  AND d7.rec_date > = d6.rec_date

  AND d7.rec_date<= d6.rec_date="" +="">

  WHERE d5.rec_id = '5'

  AND d6.rec_id = "6"

  AND d7.rec_id = "7"

  )

  SELECT emp_id, date_1, date_2, date_3

  OF joined_data

  WHERE r_num = 1

  ;

  The subquery joined_data find all combinations of rows that meet the criteria.  We want to only 1 line by emp_id, so I used ROW_NUMBER assign unique r_nums (starting at 1) to all lines with the same emp_id and then, in the main query, rejected all but the 1st row.

  Knapen had a good idea, but it won't work for all cases.  There may be situations where the only combination of rows that meet the criteria does not use the MIN or MAX of dates of one (or several).

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• Splitting of records in different lines

  Hello
  
  I have a 'test' table, which contains three columns:
  
  ID varchar2 (10), product varchar2 (100), source varchar2 (100).
  
  I have provided two specimen below:
  
  ID PRODUCT SOURCE
  ----------------------------------------------------
  ID1 | P1, P2 | S1, S2
  ID2. P1, P3 | S2, S3
  
  I need to split the product and the source of the values (separated by commas) and make different lines out of them. Looks like the result required below:
  
  
  ID PRODUCT SOURCE
  ----------------------------------------------------
  ID1 | P1 | S1
  ID1 | P1 | S2
  ID1 | P2 | S1
  ID1 | P2 | S2
  ID2. P1 | S2
  ID2. P1 | S3
  ID2. P3 | S2
  ID2. P3 | S3
  
  Could someone help me regarding this? The number of values separated by commas will be dynamic and we have zero between two commas too.
  
  Kind regards
  Araujo
  
  Published by: user11183570 on July 14, 2011 04:43

  SQL> CREATE TABLE test (ID varchar2(10), Product varchar2(100), source varchar2(100));
  
  Table created.
  
  SQL> insert into test values ('id1','P1,P2','S1,S2');
  
  1 row created.
  
  SQL> insert into test values('id2','P1,P3','S2,S3');
  
  1 row created.
  
  SQL> commit;
  
  Commit complete.
  
  SQL> WITH tbl AS
    ( SELECT DISTINCT id col1,
      regexp_substr (product, '[^,]+', 1, level) col2 ,
      source col3
    FROM test
      CONNECT BY level <= LENGTH (regexp_replace (product, '[^,]+')) + 1
    )
  SELECT DISTINCT col1,
    col2,
    regexp_substr (col3, '[^,]+', 1, level) col3
  FROM tbl
    CONNECT BY level <= LENGTH (regexp_replace (col3, '[^,]+')) + 1
  ORDER BY 1;  2    3    4    5    6    7    8    9   10   11   12   13