NEED HELP GETTING SOMETHING OUT OF MY DEAD IBOOK

ok so ive had my beautiful ibook g4 for about 5 years, and about a week ago i sent it to get fixed cause it was acting weird and it was because my hard drive is absolutely dead. but that isnt my question... I didnt get a chance to back up my stuff and i dont really care about anything in there except some pictures... and I was wondering if you guys could give me options on what to do
but i also have to tell you this:
my ibook wont turn on.
the little gray apple with the white background pops up and then 4 minutes later or so it just turns off immedietly.
so I really dont know what to do...
i did the hard drive test to see if it could react and nothing- and when i tried to reinstall mac os x, and put the option of keeping all the info i got the kernel attack.
please help me!
Cristo

Go to a certified Apple Tech or Apple Store and have them extract the information from the HD to another source. They'll pull the drive, put it in an external housing and extract from there.

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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('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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    , SUM(CHICKENHEADS33) CHICKENHEADS33
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    , 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
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                                             / 7
                   ELSE  0
                 END          -- week_nbr
    ORDER BY  week_nbr
    ;Notice I simplified the computation of week_nbr.
    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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