Need help getting access with RC2 of LR4 to a catalog that was processed with RC1

I have been successfully using RC1 on my home desktop Mac Pro to process images from my new 5D3, but hadn't upgraded to RC2.  Now, I'm on the road getting ready to start a 4 day photo workshop using a MacBook Pro and the same portable drive with all my photo stuff that had been attached to the desktop at home.  Sadly, I wasn't smart enough to apply the same LR4 DVD that I had used on my desktop and upgrade to RC1 when that was still available.
So, here in the hotel, I loaded an eval LR4 and then installed RC2 (since it appears that RC1 is not accesible any more).  Now, however, LR4 won't open the LR4 catalog that I had processed with RC1. 
Suggestions, anyone?
Mark

Here's a followup comment on my experience. I have now tried taking the
option of creating a new catalog, figuring that I can use that catalog for
my pictures this weekend and sort things out when I get home.  Lightroom
refused to open a new catalog on the portable external drive where all my
other catalogs are stored, saying that "Lightroom catalogs cannot be opened
on network volumes, removable storage or read-only volumes." This is very
strange, since there are both LR3 and LR4 catalogs on that same drive and
I've been using them there for more than a year.
Mark

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  • Need help getting YTD total

    I've got a period to date report with following columns:
    week1 tots, week2 tots, week3 tots, week4 tots, week5 tot, period-to-date tots, year-to-date tots
    I have a SELECT statement which totals data for the entire year and separates current period totals
    by grouping on the week_nbr . Any date between beginning of year and the end of the previous period will be week 0
    The Select statement retursn 6 rows: 1 for each week in period and one with week_nbr = 0 which represents the totals from the beginning of year
    to the end of the previous period.
    the select statement returns the data correctly . I need help getting the YTD total for (weeks 1 - 5) + (totals for week 0) for each column.
    This means that I will have a 7th record containing the YTD totals. ( I am not concerned with the PTD totals)
    I tried sum by partition but complex decode statement gave me problems.
      CREATE TABLE PERIOD_DATA
       (     "HOT_DOG_STAND_ID" NUMBER NOT NULL ENABLE,
         "WEEK_DATE" DATE,
         "NET_SALES2" NUMBER,
         "BUNS24434" NUMBER,
         "PICKELS_AW38" NUMBER,
         "MUSTARD_TB56" NUMBER,
         "CHICKENHEADS33" NUMBER,
         "PIECES_SOLD34" NUMBER,
         "SCRAPS35" NUMBER,
         "PIECES_UNACCOUNTED" NUMBER
    REM INSERTING into PERIOD_DATA
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('29-DEC-08','DD-MON-RR HH.MI.SSXFF AM'),14301.39,13951.26,3431.13,0,3680,2484,378,818);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('05-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),14651.37,14651.37,3249.55,0,3200,2419,505,276);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('12-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),14169.89,14169.89,2463.53,0,3136,2080,474,582);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('19-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),15864.46,15864.46,3245.49,0,3472,2764,475,233);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('26-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),15961.2,15916.23,3395.51,0,3648,2838,392,418);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('02-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),19066.4,19066.4,4165.07,0,4336,3682,333,321);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('09-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18415.74,18415.74,4024.74,0,4032,3365,482,185);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('16-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18014,17849,3486.33,0,3840,3238,374,228);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('23-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18671.09,18626.12,3729.42,0,3888,2970,353,565);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('02-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),17636,17636,3815,0,3424,2840,490,94);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('09-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),17235.52,17145.58,3897.42,0,3504,2928,421,155);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('16-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),15989.27,15989.27,3372.95,0,3728,3051,369,308);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('23-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),19067.69,18960.41,4152.6,0,4048,3293,442,313);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('30-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),18717.99,18717.99,3923.69,0,4408,3219,593,596);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-APR-09','DD-MON-RR HH.MI.SSXFF AM'),17335.16,17335.16,3769.08,0,3928,2997,514,417);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-APR-09','DD-MON-RR HH.MI.SSXFF AM'),18967.39,18967.39,4157.76,0,4144,2991,527,626);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-APR-09','DD-MON-RR HH.MI.SSXFF AM'),23090.88,23090.88,4427.96,0,5544,4493,560,491);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-APR-09','DD-MON-RR HH.MI.SSXFF AM'),24197.98,24132.99,4248.66,0,6680,5190,606,884);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('04-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),20202.21,20137.22,3714.68,0,7052,6170,422,460);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('11-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18514.48,18514.48,3266.06,0,5508,4178,571,759);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('18-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18678.68,18678.68,3814.07,0,5824,4345,633,846);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('25-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),17937.18,17937.18,3051.52,0,4844,4986,529,-671);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('01-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17445.75,17445.75,3079.91,0,5028,4810,656,-438);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('08-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17327.88,17327.88,3263.29,0,6112,4674,672,766);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('15-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17241.72,16937.33,3328.27,0,5792,4490,567,735);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('22-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),16625.83,16625.83,3485.18,0,5408,4319,761,328);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('29-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17002.84,17002.84,3091.09,0,5664,4369,544,751);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16339.19,16274.2,3075.3,0,4784,3440,697,647);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17165.12,16885.14,3458.03,0,4320,3296,640,384);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17029.77,16899.79,3198.91,0,4448,3449,645,354);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16596.89,16596.89,3015.54,0,4624,3288,665,671);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('03-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),16468.58,16468.58,2981.35,0,2224,3495,564,-1835);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('10-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18625.48,18550.5,3524.44,0,4856,3482,578,796);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('17-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),24538.54,24323.55,5580.71,0,5260,3771,608,881);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('24-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18081.37,18081.37,3533.45,0,5980,3080,553,2347);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('31-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),17183.25,17183.25,3487.12,0,2544,3262,615,-1333);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('07-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),17688.41,17575.29,3424.17,0,4800,3480,591,729);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('14-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),18211.29,18211.29,3806.32,0,3968,3104,527,337);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('21-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),16809.21,16744.22,3014.61,0,4128,3124,710,294);
    SELECT HOT_DOG_STAND_ID
    , DECODE(TRUNC(week_date , 'iw') ,
             to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0) AS week_nbr
    , SUM(NET_SALES2)                                                                                                                                                                                                                                                     AS net_sales2
    , SUM(BUNS24434 ) BUNS24434
    , SUM(PICKELS_AW38) PICKELS_AW38
    , SUM(MUSTARD_TB56) MUSTARD_TB56
    , SUM(CHICKENHEADS33) CHICKENHEADS33
    , SUM(PIECES_SOLD34) PIECES_SOLD34
    , SUM(SCRAPS35) SCRAPS35
    , SUM(PIECES_UNACCOUNTED) * - 1 PIECES_UNACCOUNTED
       /*--== Head average  net_sales / chickenusage*/
    , CASE
          WHEN NVL( SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
          ELSE ROUND(SUM(net_sales2) / ( SUM(ChickenHeads33) / 8 ) , 2)
       END AS Head_average
       /*--=== Efficiency =   (ChickenUsage  - scrappedDiv8 - unaccountedDiv8) / ChickenUsage)  * 100*/
    , CASE
          WHEN NVL(SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
          ELSE ROUND((((SUM(ChickenHeads33) / 8 ) - ( SUM(scraps35) / 8 ) - (SUM(pieces_unaccounted) / 8 )) / (SUM(ChickenHeads33) / 8 )) * 100 , 2)
       END AS efficiency
    FROM period_data per
    WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IY') AND TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IW') + 6 + 7 * 4
    GROUP BY hot_dog_stand_id
    , DECODE(TRUNC(week_date , 'iw') ,
          to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 ,
          0)
    ORDER BY DECODE(TRUNC(week_date , 'iw') , to_date('24-AUG-09' , 'dd-mon-rr') , 1 , to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 , to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 , to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 , to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0);The expected results will be:
    HOT_DOG_STAND_ID       WEEK_NBR               NET_SALES2             BUNS24434              PICKELS_AW38           MUSTARD_TB56           CHICKENHEADS33         PIECES_SOLD34          SCRAPS35               PIECES_UNACCOUNTED     HEAD_AVERAGE           EFFICIENCY            
    141                    7                      697067.09              694887.4               139149.91              0                      175808                 139454                 21036                  15318                  31.72                  79.32                  You can get these dame results by running endpot-to-endpoint query:
    SELECT  HOT_DOG_STAND_ID
         , max(7) as week_nbr
         ,sum(NET_SALES2)      net_sales2
          ,sum(BUNS24434 )        BUNS24434
          ,sum(PICKELS_AW38)      PICKELS_AW38
          ,sum(MUSTARD_TB56)     MUSTARD_TB56
          ,sum(CHICKENHEADS33)   CHICKENHEADS33
          ,sum(PIECES_SOLD34)    PIECES_SOLD34
          ,sum(SCRAPS35)         SCRAPS35
          ,sum(PIECES_UNACCOUNTED)   PIECES_UNACCOUNTED
        ---===== Copied code from outer query
              --==  net_sales / chickenusage 
                      ,   CASE
                             WHEN NVL( sum(ChickenHeads33) / 8    ,0)  = 0 then 0
                             ELSE ROUND(sum(net_sales2)/   ( sum(ChickenHeads33) / 8    ) , 2)
                          END as Head_average
                        --=== Efficiency =   (ChickenUsage  - scrappedDiv8 - unaccountedDiv8) / ChickenUsage)  * 100
                        ,   CASE
                                  WHEN NVL(sum(ChickenHeads33) / 8    ,0)  = 0 then 0
                                  ELSE   ROUND((((sum(ChickenHeads33) / 8 )  - ( sum(scraps35) / 8 ) - (sum(pieces_unaccounted) / 8 )) / (sum(ChickenHeads33) / 8 )) * 100, 2)
                          END as efficiency  
    from period_data
    WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' ,'DD-MON-YY'), 'IY') AND TO_DATE( '27-sep-09' ,'DD-MON-YY')
    group by hot_dog_stand_id;Thanks In Advance

    Hi,
    Welcome to the forum!
    Thanks for posting the CREATE TABLE and INSERT statements; that's very helpful. You could teach something to some people who have been using this forum for years (except that nobody can teach them).
    user12335325 wrote:
    The expected results will be:
    HOT_DOG_STAND_ID       WEEK_NBR               NET_SALES2             BUNS24434              PICKELS_AW38           MUSTARD_TB56           CHICKENHEADS33         PIECES_SOLD34          SCRAPS35               PIECES_UNACCOUNTED     HEAD_AVERAGE           EFFICIENCY            
    141                    7                      697067.09              694887.4               139149.91              0                      175808                 139454                 21036                  15318                  31.72                  79.32                 
    Do you mean the expected results will include the row above, and that the results will be this row along with the 6 rows you're already getting? (If you wanted just that one row, I suppose you would just run your second query.)
    That sound like a job for ROLLUP.
    VARIABLE   start_date     VARCHAR2 (11);
    EXEC         :start_date  := '24-AUG-2009';
         SELECT  HOT_DOG_STAND_ID
         ,      NVL (CASE
                   WHEN  week_date >= TO_DATE( :start_date, 'DD-MON-YYYY')
                   AND   week_date <  TO_DATE( :start_date, 'DD-MON-YYYY') + 35
                   THEN  1 + FLOOR ( (week_date - TO_DATE( :start_date, 'DD-MON-YYYY'))
                                             / 7
                   ELSE  0
                      END
                 , 7
                 )          AS week_nbr
    , SUM(NET_SALES2)                                                                                                                                                                                                                                                     AS net_sales2
    , SUM(BUNS24434 ) BUNS24434
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