GROUP BY date range to identify duplicates revisited!

Good afternoon

It is a continuation of the previous discussion, I previously created GROUP BY date range to identify duplicates

Your help with the following would be appreciated (examples of data below)

I've highlighted what I mark as returned to double as below:

example4.jpg

Definition of duplicate (However, this is slightly different to the previous post)

the same account_num

maximum 20 days apart tran_effective_date

tran_processed_date maximum 10 days apart

the same tran_amount

However, I do not want to return a duplicate if they have both a tran_priced_date filled.

So, in light of the foregoing, I don't expect the following account_numbers to be marked as duplicate:

N100283 - one of the records has populated trab_priced_date

N101640 - none of the records have the tran_priced_date filled

N102395 - same as N101640

N102827 - same as N101640

N108876 - although the two documents have the populated tran_priced_date, the tran_effective_dates are more than 20 days apart.

BUT for the rest of the accounts, N100284 and N102396 I want to execute the following logic

Compare the 3rd rank in 4th place and ask the following questions:

Is tran_effective_date to a maximum of 20 days out?

Is tran_processed_date maximum 10 days apart?

If yes then report it as dupe

Compare line 4 to 5, then ask the same question until you get to the line 4 or 5. When everything is done, I want to examine only the transactions that have the status of normal and if the above question is true for both and then return to my game of result as dupes.

I hope that makes sense!

BEGIN
  EXECUTE IMMEDIATE 'DROP TABLE samp_data';
EXCEPTION
  WHEN OTHERS THEN
    IF SQLCODE = -942 THEN
      DBMS_OUTPUT.put_line('');
    ELSE
      RAISE;
    END IF;
END;
/


CREATE TABLE samp_data (
  ACCOUNT_NUM             VARCHAR2(17),
  TRAN_ID                 NUMBER(10),
  TRAN_TYPE               VARCHAR2(50),
  TRAN_EFFECTIVE_DATE     TIMESTAMP(6),
  TRAN_PROCESSED_DATE     TIMESTAMP(6),
  TRAN_STATUS             VARCHAR2(17),
  TRAN_PRICED_DATE        TIMESTAMP(6),
  TRAN_AMOUNT             NUMBER(13,2)
  );
/


Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N100283',140119178,'Regular With',to_timestamp('01-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.34.235000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),200);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N100283',140158525,'Regular With',to_timestamp('13-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.39.14.090000000 AM','DD-MON-RR HH.MI.SS.FF AM'),'Normal', null,200);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N100284',140118826,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.19.072000000 AM','DD-MON-RR HH.MI.SS.FF AM'),'Normal', to_timestamp('20-MAY-15 03.25.05.438000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N100284',140158120,'Regular With',to_timestamp('06-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('23-MAY-15 08.38.42.064000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N100284',140158120,'Regular With',to_timestamp('06-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('02-JUN-15 08.38.42.064000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('31-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N101640',140118957,'Regular With',to_timestamp('18-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.25.015000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,120);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N101640',140158278,'Regular With',to_timestamp('22-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.56.228000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,130);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102395',140118842,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.19.665000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,250);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102395',140158235,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.53.093000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,250);




Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102396',140118823,'Regular With',to_timestamp('09-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('18-MAY-15 07.00.18.931000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('19-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102396',140158099,'Regular With',to_timestamp('16-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('24-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102396',140158099,'Regular With',to_timestamp('16-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('29-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('30-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102396',140158099,'Regular With',to_timestamp('12-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('30-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102396',140158099,'Regular With',to_timestamp('14-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('23-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('30-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102827',140118850,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.20.045000000 AM','DD-MON-RR HH.MI.SS.FF AM') , 'Normal',null,157.84);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N102827',140158118,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.41.861000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,157.84);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N108876',139840720,'Regular With',to_timestamp('01-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('11-MAY-15 08.35.34.646000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('20-MAY-15 03.25.05.438000000 AM','DD-MON-RR HH.MI.SS.FF AM'),1000);
Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) 
values ('N108876',139889880,'Regular With',to_timestamp('22-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('12-MAY-15 08.49.29.080000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),1000);
/


select * from samp_data
ORDER BY account_num, tran_effective_date, tran_processed_date;

PL continue the discussion in your original post

Tags: Database

Similar Questions

  • GROUP BY date range to identify duplicates

    Good afternoon

    Your help with the following would be appreciated (examples of data below)

    I've highlighted what I mark as returned as duplicates

    example.jpg

    Duplicate definition:

    the same account_num

    maximum 20 days apart tran_effective_date

    tran_processed_date maximum 10 days apart

    the same tran_amount

    However, I do not want to return a duplicate if they have both a tran_priced_date filled.

    So in light of the foregoing

    N100283 would not qualify, even if the tran_effective_date and the tran_processed_date are 20 and 20 days respectively, we have a date tran_priced populated, but not the other

    N101640 & N102395 is not eligible because the two did not have the full trab_priced_date

    N108876 is not eligible as duplicate as the tran_effective_dates are more than 20 days apart.

    Your help would be much appreciated.

    BEGIN
      EXECUTE IMMEDIATE 'DROP TABLE samp_data';
    EXCEPTION
      WHEN OTHERS THEN
        IF SQLCODE = -942 THEN
          DBMS_OUTPUT.put_line('');
        ELSE
          RAISE;
        END IF;
    END;
    /
    
    
    CREATE TABLE samp_data (
      ACCOUNT_NUM             VARCHAR2(17),
      TRAN_ID                 NUMBER(10),
      TRAN_TYPE               VARCHAR2(50),
      TRAN_EFFECTIVE_DATE     TIMESTAMP(6),
      TRAN_PROCESSED_DATE     TIMESTAMP(6),
      TRAN_PRICED_DATE        TIMESTAMP(6),
      TRAN_AMOUNT             NUMBER(13,2)
      );
    /
    
    
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100283',140119178,'Regular With',to_timestamp('01-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.34.235000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),200);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100283',140158525,'Regular With',to_timestamp('13-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.39.14.090000000 AM','DD-MON-RR HH.MI.SS.FF AM'),null,200);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100284',140118826,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.19.072000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('20-MAY-15 03.25.05.438000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100284',140158120,'Regular With',to_timestamp('06-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.42.064000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N101640',140118957,'Regular With',to_timestamp('18-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.25.015000000 AM','DD-MON-RR HH.MI.SS.FF AM'),null,120);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N101640',140158278,'Regular With',to_timestamp('22-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.56.228000000 AM','DD-MON-RR HH.MI.SS.FF AM'),null,130);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102395',140118842,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.19.665000000 AM','DD-MON-RR HH.MI.SS.FF AM'),null,250);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102395',140158235,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.53.093000000 AM','DD-MON-RR HH.MI.SS.FF AM'),null,250);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102396',140118823,'Regular With',to_timestamp('09-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.18.931000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('19-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102396',140158099,'Regular With',to_timestamp('16-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750);
    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102827',140118850,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.20.045000000 AM','DD-MON-RR HH.MI.SS.FF AM'),null,157.84);
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    Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N108876',139840720,'Regular With',to_timestamp('01-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('11-MAY-15 08.35.34.646000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('20-MAY-15 03.25.05.438000000 AM','DD-MON-RR HH.MI.SS.FF AM'),1000);
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    /
    
    select * from samp_data
    ORDER BY account_num, tran_effective_date, tran_processed_date;
    

    Hello

    Here's one way:

    SELECT *.

    OF samp_data m

    WHEN THERE IS)

    SELECT 1

    OF samp_data o

    WHERE o.account_num = m.account_num

    AND o.tran_effective_date BETWEEN m.tran_effective_date - INTERVAL '20' DAY

    AND m.tran_effective_date + INTERVAL '20' DAY

    AND o.tran_processed_date BETWEEN m.tran_processed_date - INTERVAL '10' DAY

    AND m.tran_processed_date + INTERVAL '10' DAY

    AND o.tran_priced_date IS NOT NULL

    AND o.tran_id <> m.tran_id

    )

    AND tran_priced_date IS NOT NULL

    ;

    I guess that tran_id is unique.

    The EXISTS subquery returns TRUE if there is at least 1 other similar line to the line to the study.  The condition

    o.tran_id <> m.tran_id

    guarantee that this will be another line, not the same line.

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    TO_DATE (PERIOD, 'YYYYMM') < = to_date ("'201502 ',' YYYYMM")

    Group by PERIOD

    with the same results... I can't figure out what I should do next?

    Thank you.

    Hello

    Solomon Yakobson says:

    Question:

    SELECT *.

    From your_table

    WHERE the TO_NUMBER (SUBSTR (PERIOD, 1, 4)) NO BETWEEN-4713 and 9999

    OR TO_NUMBER (SUBSTR (PERIOD, 1, 4)) = 0

    /

    To find the offending rows.

    SY.

    This can cause other errors, according to what is in this column.  A better way would be something like:

    Primary_key SELECT, period - add more columns you want

    'TABLE' - avoid names which need quotation marks

    (Period WHERE the TRANSLATION)

    '012345678'

    '999999999'

    ) <> = "999999"

    OR SUBSTR (period, 1, 4), not BETWEEN "1900" AND "2099"

    OR SUBSTR (period 5) NOT BETWEEN '01' to '12'

    ;

    Now there may be errors of conversion, because there is no conversion.

  • To ignore the date ranges that overlap

    Hi guys,.

    I have the tables below

    Periods

    START_DATEEND_DATEID
    30-SEP-0513 OCTOBER 051
    12 OCTOBER 0514 NOVEMBER 052
    15 NOVEMBER 0515 DECEMBER 053

    T1

    DAT_COLIDAMOUNT
    11 OCTOBER 05110
    12 OCTOBER 05110
    16 NOVEMBER 05110

    I need to ignore the remaining date range if it overlaps when comparing dat_col from T1 between the dates of beginning and end of periods table. Always need to consider the first periods

    output something like this

    IDID_1START_DATEEND_DATEDAT_COL
    1130-SEP-0513 OCTOBER 0511 OCTOBER 05
    1130-SEP-0513 OCTOBER 0512 OCTOBER 05
    1315 NOVEMBER 0515 DECEMBER 0516 NOVEMBER 05

    I use query

    Select a.id, b.id, b.start_date, b.end_Date, a.DAT_COL from T1 a, (select id, start_date, end_date periods) b

    where a.dat_col between b.start_Date and b.end_Date

    Group of a.id, b.id, b.start_date, b.end_Date, a.dat_col

    order of b.start_date;

    IDID_1START_DATEEND_DATEDAT_COL
    1130-SEP-0513 OCTOBER 0511 OCTOBER 05
    1130-SEP-0513 OCTOBER 0512 OCTOBER 05
    1212 OCTOBER 0514 NOVEMBER 0512 OCTOBER 05
    1315 NOVEMBER 0515 DECEMBER 0516 NOVEMBER 05

    Test case:

    CREATE TABLE 'PERIODS '.

    ("START_DATE" DATE,

    "END_DATE" DATE,

    'ID '.

    ) ;

    Insert into periods (start_date, end_date, ID) values (to_date('30-SEP-05','DD-MON-RR'),to_date('13-OCT-05','DD-MON-RR'),1);

    Insert into periods (start_date, end_date, ID) values (to_date('12-OCT-05','DD-MON-RR'),to_date('14-NOV-05','DD-MON-RR'),2);

    Insert into periods (start_date, end_date, ID) values (to_date('15-NOV-05','DD-MON-RR'),to_date('15-DEC-05','DD-MON-RR'),3);

    Insert into T1 (DAT_COL, ID) values (to_date('11-OCT-05','DD-MON-RR'), 1);

    Insert into T1 (DAT_COL, ID) values (to_date('12-OCT-05','DD-MON-RR'), 1);

    Insert into T1 (DAT_COL, ID) values (to_date('16-NOV-05','DD-MON-RR'), 1);

    CREATE TABLE 'T1 '.

    (DATE OF THE 'DAT_COL',

    'ID '.

    );

    Hello

    If you really want to use something close to what you posted, then you can do it like this:

    WITH got_r_num AS

    (

    SELECT a.id

    b.id AS id_1

    b.start_date

    b.end_date

    a.dat_col

    , ROW_NUMBER () OVER (PARTITION BY a.id, a.dat_col)

    ORDER BY b.start_date, b.end_date

    ) AS r_num

    FROM one t1

    ,         (

    SELECT id, start_date, end_date

    Periods

    ) b

    WHERE a.dat_col BETWEEN b.start_date

    AND b.end_date

    GROUP BY a.id, b.end_date, a.dat_col, b.start_date and b.id

    )

    SELECT id, id_1, start_date, end_date, dat_col

    OF got_r_num

    WHERE r_num = 1

    ORDER BY start_date

    ;

    Note that the WITH clause, that's essentially what you posted in your first post (with the added r_num column) and the main request is essentially the same as in response #1.

    But why would you do something like that?  View online or GROUP BY allows all.  If you remove them, you get the #1 response solution.

  • Date ranges query

    Hi Experts,

    A very happy new year to all of you (a little in advance)!

    I have a table where I have the id of employee and the task assigned with the start dates and end dates. Overlap in the dates of the tasks is a data delivers however I know how to spot them and eliminate. There is therefore no date of tasks that overlap

    Employee_id

    Task_No

    Task_Start_date

    Task_End_Date

    Examples of data

    1 T1 1 January 2014 February 28, 2014

    1 T2 March 1, 2014 31 December 2014

    2 T1 23 January 2014 31 December 2014

    2 T2 1 January 2015 December 31, 2073 (means end of time)

    3 T3 1 January 2014 July 15, 2014

    3 T4 August 1, 2014 31 December 2014

    T5 4 1 January 2014 December 31, 2073

    I want to design a query where I provide the end date and it will list all the employees that are free for the same day from 1 January 2014. Thus, for example, if I give December 31, 2014, it will list the

    EmpId (first day where the employee is free)

    2 January 1, 2014

    3 July 16, 2014

    If I give the end = end date of time(31-Dec-2013), result-

    EmpId (first day where the employee is free)

    1 January 1, 2015

    2 January 1, 2014

    3 July 16, 2014

    If I give the end = date January 31, 2014, expected - result

    EmpId (first day where the employee is free)

    1 January 1, 2015

    I conceived after the request, but he intercepted not 2 employee ID. Also, it provides no flexibility to change end date-

    Select *.

    from (select employe_id,

    task_start_date,

    task_end_date,

    lag (task_end_date, 1, task_start_date) on prev_end_date (partition by employee_id arrested by task_start_date)

    of shop.employee_tasks

    where task_end_date > = trunc (sysdate))

    where task_start_date - prev_end_date > 1

    Thanks in advance!

    Kind regards

    This is an example of what I call the query 'free time': you have the dates when you are busy and you want the dates where you are free.

    You can find a nice solution for the problem of base here: ask Tom "SQL Query to find gaps in the date ranges" (search for solution of Anthony Boucher). Please note that this solution works even with the date ranges overlap.

    To apply the solution here, first create the test data (please do it yourself in the following questions).

    create table t(Employee_id, task_no, Task_Start_date, task_end_date)
    as select
    1, 'T1', to_date('01-jan-2014'), to_date('28-feb-2014') from dual union all select
    1, 'T2', to_date('01-Mar-2014'), to_date('31-Dec-2014') from dual union all select
    2, 'T1', to_date('23-jan-2014'), to_date('31-dec-2014') from dual union all select
    2, 'T2', to_date('01-jan-2015'), to_date('31-dec-2073') from dual union all select
    3, 'T3', to_date('01-jan-2014'), to_date('15-jul-2014') from dual union all select
    3, 'T4', to_date('01-aug-2014'), to_date('31-dec-2014') from dual union all select
    4, 'T5', to_date('01-Jan-2014'), to_date('31-Dec-2073') from dual;
    

    In the query, you must add records for yesterday and for the "end date" you want. This allows you to "free time" before and after the date ranges in your table.

    Now, you partition by order of Task_Start_date and employe_id. Using the analytical function of the max (task_end_date), you get the last date of end so far. Add 1 and you get the first time (maybe). To make sure that the date is free, it must be before the next start date.

    variable end_date varchar2(64)
    exec :end_date := '31-Dec-2073';
    --
    with boundaries as (
      select trunc(sysdate)-1 task_start_date, trunc(sysdate)-1 task_end_date from dual
      union all
      select to_date(:end_date)+1, to_date(:end_date)+1 from dual
    ), data as (
      select * from t
    where task_end_date >= trunc(sysdate)
      and task_start_date < :end_date
      union all
      select distinct a.employee_id, null, b.task_start_date, b.task_end_date
      from t a, boundaries b
    )
    select employee_id, min(free_start) free_start
    from (
      select employee_id,
      max(task_end_date) over (partition by employee_id order by task_start_date)+1 free_start,
      lead(task_start_date) over (partition by employee_id order by task_start_date)-1 free_end
      from data
    )
    where free_start <= free_end
    group by employee_id;
    
    EMPLOYEE_ID FREE_START
    1 JANUARY 1, 15
    2 1 JANUARY 14
    3 16 JULY 14
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    Hi all

    I said you want to display the month and year for the date range. IE Start date: 01-11-12, end Date: 31/05/13

    SELECT COUNT(T1.CUST_NM) AS COUNT, TO_CHAR(T1.CREATE_DT,'MON-YY') AS MONTH, SUM(T3.DISBURSEMENT_LIMIT) AS TOTAL
      FROM CUSTOMER T1, 
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     GROUP BY TO_CHAR(T1.CREATE_DT,'MON-YY')
    
    
    
    


    Exit SQL:

    CountyMonth-yearTotal
    8JAN-1015300
    6FEB-104245000
    11AUG-10144500
    6DEC-1015500

    Now SQL returns matching records to date. But the requirement is to display the name of the month, the number and total 0 if there is no data found.

    Power required:

    County Month-year Total
    8Jan15300
    1Feb-10118750
    0March-100
    0Apr-100
    0May - 100
    0Jun - 100
    0Jul-100
    11Aug-10144500
    0Seven.-100
    0Oct-100
    0Nov - 100
    6Dec - 1015500

    Please suggest me SQL to archive the above of the requirement.

    Thanks and greetings

    Saami

    Try this

    with t

    as

    (

    Select count (t1.cust_nm) as County

    to_char(t1.create_dt,'mon-yy') per month

    , sum (t3.disbursement_limit) total

    the t1 client

    in t2

    loan_account t3

    credit_appl t4

    the t5 portfolio

    where t1.cust_id = t2.cust_id

    and t2.acct_id = t3.acct_id

    and t3.appl_id = t4.appl_id

    and t4.portfolio_id = t5.portfolio_id

    and t1.create_dt between to_date ('01-01-10', ' dd-mm-yy')

    and to_date ('30-12-10', ' dd-mm-yy')

    Group

    by to_char(t1.create_dt,'mon-yy')

    )

    t1

    as

    (

    Select to_char (add_months (to_date('01-01-10','dd-mm-yy'), level-1), 'Mon - yy') month_list

    of the double

    connect

    by add_months (to_date('01-01-10','dd-mm-yy'), level-1)<= >

    )

    Select nvl (t.count, 0) as County

    t1.month_list per month

    , nvl (t.total, 0), as total

    from t1

    left

    Join t

    on t1. month_list = t.month

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    And overlapping is not allowed, for example [1 - May... 1-may may-1-2 may, 3-May-...] is not allowed because the overlap takes place 1-may day. Overlap and the holes are not permitted. But it is possible that this table has no records at all. But all DML operations with existing records must ensure that overlapping and the holes occur.

    How to do this check? How to ensure that the data ranges would remain continuous without holes or overlapping?


    --
    Oracle 11g.

    You can use analytical functions to check the values of the next or previous lines to make comparisons, such as...

    SQL> ed
    Wrote file afiedt.buf
    
      1  with t as (select 1 as id, 1 as val1, 4 as val2 from dual union all
      2             select 1, 5, 6 from dual union all
      3             select 1, 7, null from dual union all
      4             select 2, 1, 3 from dual union all
      5             select 2, 4, 7 from dual union all
      6             select 2, 9, 12 from dual union all
      7             select 2, 13, null from dual union all
      8             select 3, 1, 3 from dual union all
      9             select 3, 4, null from dual
     10            )
     11  --
     12  select id
     13        ,val1 as "start"
     14        ,val2 as "end"
     15        ,case when nvl(lag(val2) over (partition by id order by val1),0) != val1-1 then 'hole or overlap' else null end as chk
     16  from t
     17* order by 1, 2
    SQL> /
    
            ID      start        end CHK
    ---------- ---------- ---------- ---------------
             1          1          4
             1          5          6
             1          7
             2          1          3
             2          4          7
             2          9         12 hole or overlap
             2         13
             3          1          3
             3          4
    
    9 rows selected.
    
    SQL>
    

    Or the method tabibitosan can be used if the data should be...

    {: identifier of the thread = 1005478}

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    I have a table with a number of clients for about a year, but I want to only select Wednesday and Thursday of
    every week, since the beginning of the dates. Table is simple and has two columns. Each line is separate from a Date
    There is no duplicate of Date, it is counted for every day of the year.

    column 1: number of clients, count (customer_id)
    column 2: Date

    Need help with the best way to achieve this.

    Not sure if it is even possible to select a date in the name of the day?

    Basically, I want to select every Wednesday and Thursday of each week and compare the counts during the week, the week during
    week for the whole week see if charges go upwards or downwards, to get trends, thank you!

    Hello

    Kodiak_Seattle wrote:
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    every week, since the beginning of the dates. Table is simple and has two columns. Each line is separate from a Date
    There is no duplicate of Date, it is counted for every day of the year.

    column 1: number of clients, count (customer_id)
    column 2: Date

    Need help with the best way to achieve this.

    Not sure if it is even possible to select a date in the name of the day?

    Sorry, we don't know what you want.

    To see if a date given (dt) is a Wednesday or Thursday, you can use:

    WHERE   TO_CHAR ( dt
              , 'DY'
              , 'NLS_DATE_LANGUAGE=ENGLISH'     -- If necessary
              )  IN ('WED', 'THU')
    

    I hope that answers your question.
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    Always say what version of Oracle you are using (for example, 11.2.0.2.0).
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    I have an ambitious project where I need to report a summary report for a date range for each code. I'm not against the use of a helper function plsql to calculate the summary result because I'm not sure it can be done in sql. Any help would be appreciated as my attempts have failed.

    Here is a sample of the data.

    ID START_DATE END_DATE
    445 1 January 2010 Thursday, April 30, 2010 - simultaneous example
    445 1 JANUARY 2010 MAY 31, 2010
    445 17 MAY 2010 AUGUST 6, 2010
    2710 1 May 2010 August 31, 2010 - row example
    2710 01 - SEP - 2010 DECEMBER 31, 2010
    2710 1 JANUARY 2011 APRIL 30, 2011
    2710 1 MAY 2011 AUGUST 31, 2011
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    658 1 JANUARY 2010 MAY 31, 2010
    658 1 JANUARY 2010 MAY 31, 2010
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    108, 29 MARCH 2010 APRIL 11, 2010
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    2535 1 March 2010 March 14, 2010 - example 2 consecutive and non-consecutive 1 combination
    2535, MARCH 15, 2010 MARCH 28, 2010
    2535, APRIL 5, 2010 MAY 2, 2010
    999 1 March 2010 March 14, 2010 - example 2 simultaneous and consecutive 1 combination
    999, 1 MARCH 2010 APRIL 24, 2010
    999 APRIL 25, 2010 MAY 2, 2010


    Here is the result summary of what I would be returned as for each ID

    ID START_DATE END_DATE
    445 1 JANUARY 2010 AUGUST 6, 2010
    2710 1 MAY 2010 31 AUGUST 2011
    658 1 JANUARY 2010 MAY 31, 2010
    108. ON MAY 1, 2010 MAY 31, 2010
    2535, APRIL 5, 2010 MAY 2, 2010
    999, MARCH 1, 2010 MAY 2, 2010

    Thank you
    Todd

    Hello

    I see it; you want to look at only the last set of overlapping lines for each id, where the definition of "overlap" is extended such that two rows are expected to overlap if the line later begins between 0 and 24 hours after the end of the previous.

    So what I posted was a bit off; Need to add a WHERE clause to not take into account that the last series of overlapping lines. Which would be to change the FROM clause to use, not the table, but something that indicates whether a line is in the last together or not, and this is the interesting part. We can use analytical functions (I used MIN in the example below) to determine if a game begins with a certain rank, then we can use other analytical functions (such as SUM) to see how many series began, and therefore, what game of any line belongs.

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    (
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         ,     CASE
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                                                             ORDER BY       start_date
                                              ROWS BETWEEN     1        FOLLOWING
                                                   AND     UNBOUNDED  FOLLOWING
                                            ) - 1
                  THEN  1
                  ELSE  0
              END     AS new_grp
         FROM    my_data
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    ,     got_grp          AS
    (
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         ,     SUM (new_grp) OVER ( PARTITION BY  id
                                       ORDER BY          start_date     DESC
                           )         AS grp
         FROM     got_new_grp
    )
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    ,       MAX (end_date)     AS end_date
    FROM       got_grp
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    GROUP BY  id
    ORDER BY  id
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    Output of your sample data:

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    ---------- ----------- -----------
           108 01-May-2010 31-May-2010
           445 01-Jan-2010 06-Aug-2010
           658 01-Jan-2010 31-May-2010
           999 01-Mar-2010 02-May-2010
          2535 05-Apr-2010 02-May-2010
          2710 01-May-2010 31-Aug-2011
    

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    Published by: Frank Kulash, June 11, 2010 12:30

  • How to merge two date ranges

    Hello
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    ----------------------------------------------------------------

    1/1/2008 12/31/2009 1234



    Thanks in advance.

    Published by: user3898545 on January 27, 2010 19:44

    Hello

    user3898545 wrote:
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         FROM     data
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    Published by: Frank Kulash, 28 January 2010 14:03
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