Need help getting from 10.5.8 to 10.6.

need help getting from 10.5.8 to 10.6.  i know i'm late to the game!

If you are not sure of what you are doing,If you are worried about losing anything when doing a major systems upgrade/update,
Before embarking on a major OS upgrade, it would be wise, advisable and very prudent if you backup your current system to an external connected and Mac formatted Flash drive OR externally connected USB, Thunderbolt or FireWire 800, Mac formatted hard drive. Then, use either OS X Time Machine app to backup your entire system to the external drive OR purchase, install and use a data cloning app, like CarbonCopyCloner or SuperDuper, to make an exact and bootable copy (clone) of your entire Mac's internal hard drive. This step is really needed in case something goes wrong with the install of the new OS or you simply do not like the new OS, you have a very easy way/procedure to return your Mac to its former working state.
Older version of CarbonCopyCloner found here.
http://mac.filehorse.com/download-carbon-copy-cloner/2734/
Older versions of SuperDuper can be found on the SuperDuper Website and Homepage.
http://www.shirt-pocket.com/SuperDuper/SuperDuperDescription.html
Then, determine if your Mac meets ALL minimum system install requirements.
Mac OS X v10.6 Snow Leopard system requirements
Purchased Installer disc here.
http://store.apple.com/us/product/MC573Z/A/mac-os-x-106-snow-leopard
To install Snow Leopard for the first time, you must have a Mac with:
An Intel processor
An internal or external DVD drive, or DVD or CD Sharing
At least 1 GB of RAM (additional RAM is recommended)
A built-in display or a display connected to an Apple-supplied video card supported by your computer
At least 5 GB of disk space available, or 7 GB of disk space if you install the developer tools.
In addition, see this discussion for more relevant info that you may need if you have any other questions or issues.
Snow Leopard upgrade - keeps Photoshop?

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    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);
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    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);
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             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
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    , SUM(MUSTARD_TB56) MUSTARD_TB56
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    , 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') ,
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          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 ,
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    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:
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         , 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
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                                  WHEN NVL(sum(ChickenHeads33) / 8    ,0)  = 0 then 0
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                          END as efficiency  
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    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.
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                   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
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                   ELSE  0
                 END          -- week_nbr
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    Some other people have asked questions about hot dog stands recently.
    I'm curious; is this from a course? If so, where? What is the textbook (if any)?
    Thanks.

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