Help with optimize analitics query .

HI,
I've got Oracle 10.2.0.3 query like :
select * from
     select rank() over (partition by t1.customer_key order by
     func(t1.klt_dlugosc,t1.klt_szerokosc,t2.gemfo_dlugosc,t2.gemfo_szerokosc),rownum) as id,
     t1.customer_key,
     func(t1.klt_dlugosc,t1.klt_szerokosc,t2.gemfo_dlugosc,t2.gemfo_szerokosc) odleg_gemfo,
     t2.gemfo_id             
     from tmp_22_geo_0309 t1,
(select * from adresy_gemfo_geo t2)) where id<3;
PLAN_TABLE_OUTPUT
Plan hash value: 187241240
| Id  | Operation                | Name                           | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT         |                                |    10M|   486M|       |   109K  (2)| 00:25:28 |
|*  1 |  VIEW                    |                                |    10M|   486M|       |   109K  (2)| 00:25:28 |
|*  2 |   WINDOW SORT PUSHED RANK|                                |    10M|   630M|  1455M|   109K  (2)| 00:25:28 |
|   3 |    COUNT                 |                                |       |       |       |            |          |
|   4 |     MERGE JOIN CARTESIAN |                                |    10M|   630M|       |  9720   (3)| 00:02:17 |
|   5 |      TABLE ACCESS FULL   | ADRESY_GEMFO_GEO               |   151 |  5738 |       |     3   (0)| 00:00:01 |
|   6 |      BUFFER SORT         |                                | 66293 |  1812K|       |   109K  (2)| 00:25:28 |
|   7 |       TABLE ACCESS FULL  | TMP_22_GEO_0309                       | 66293 |  1812K|       |    64   (2)| 00:00:01 |
Predicate Information (identified by operation id):
   1 - filter("ID"<3)
   2 - filter(RANK() OVER ( PARTITION BY "CUSTOMER_KEY" ORDER BY
              func("KLT_DLUGOSC","KLT_SZEROKOSC","ADRESY_GEMFO_GEO"."GEMFO_DLUGOSC","ADRESY_GEMFO_GEO"."
              GEMFO_SZEROKOSC"),ROWNUM)<3)
Note
   - dynamic sampling used for this statement
   is burning CPU , an d runs like 2h
t1 is 66293 rows
and t2 is 151 rows
is there any way to rewrite this ?
function func is doing some geolocation related math like sin/cos abs .
Regards.
Greg

Yes, thats expected (cartesian join), tables are small .
Function is doing geolocation calculations like:
CREATE OR REPLACE function func (dlugosc_geo_1 number,
                                      szerokosc_geo_1 number,
                                      dlugosc_geo_2 number,
                                      szerokosc_geo_2 number) return number
is
  a_1 number;
  c_1 number;
  d_1 number;
  metry number := 1000;
  r_ziemi number := 6371;
  pi number := 3.1415926535897932384626433832795028841972;
  dLat number;
  dLon number;
  szer_1 number;
  szer_2 number;
begin
  dLat := abs(szerokosc_geo_2-szerokosc_geo_1)*pi/180;
  dLon := abs(dlugosc_geo_2-dlugosc_geo_1)*pi/180;
  szer_1 := szerokosc_geo_1 * pi/180;
  szer_2 := szerokosc_geo_2 * pi/180;
  a_1 := sin(dLat/2) * sin(dLat/2) +
         cos(szer_1) * cos(szer_2) *
         sin(dLon/2) * sin(dLon/2);
  c_1 := 2 * atan2(sqrt(a_1), sqrt(1-a_1));
  d_1 := round(metry * r_ziemi * c_1);
RETURN d_1;
end;
/

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    |   2 |  TEMP TABLE TRANSFORMATION            |                              |       |       |       |       |
    |   1 |   RECURSIVE EXECUTION                 | SYS_LE_2_0                   |       |       |       |       |
    |   0 |    INSERT STATEMENT                   |                              |  3053 |   128K|       |  1372 |
    |   1 |     LOAD AS SELECT                    |                              |       |       |       |       |
    |   2 |      SORT UNIQUE                      |                              |  3053 |   128K|   376K|  1372 |
    |   3 |       UNION-ALL                       |                              |       |       |       |       |
    |*  4 |        HASH JOIN                      |                              |  3052 |   128K|       |   185 |
    |*  5 |         TABLE ACCESS FULL             | EES_CONS_PROV                |   622 |  3732 |       |     2 |
    |*  6 |         TABLE ACCESS BY INDEX ROWID   | EES_ENERGY_MASTER            |  3055 |   110K|       |   182 |
    |*  7 |          INDEX RANGE SCAN             | IDX_ENERGY_PDCT_CAT          |  1978 |       |       |  2478 |
    |   8 |        SORT GROUP BY                  |                              |     1 |    40 |       |  1160 |
    |*  9 |         TABLE ACCESS BY INDEX ROWID   | EES_HOSP_CHG_PROV            |     4 |    72 |       |     1 |
    |  10 |          NESTED LOOPS                 |                              |     1 |    40 |       |  1157 |
    |  11 |           NESTED LOOPS                |                              |     1 |    22 |       |  1156 |
    |* 12 |            TABLE ACCESS BY INDEX ROWID| MVW_EES_ICD_STATS            |     1 |    16 |       |  1155 |
    |* 13 |             INDEX RANGE SCAN          | MVWICDSTATS_DISCQTR_IDX      |    13M|       |       | 26068 |
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    |   4 |    VIEW                               |                              |     1 |    13 |       |     3 |
    |   5 |     SORT GROUP BY                     |                              |     1 |    13 |       |       |
    |   6 |      VIEW                             |                              |  3053 | 39689 |       |     3 |
    |   7 |       TABLE ACCESS FULL               | SYS_TEMP_0FD9D68B3_C112F95D  |  3053 |   110K|       |     3 |
    |   8 |    VIEW                               |                              |     1 |    37 |       |    19 |
    |   9 |     SORT GROUP BY                     |                              |     1 |    37 |       |    19 |
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    |  11 |       TABLE ACCESS FULL               | SYS_TEMP_0FD9D68B3_C112F95D  |  3053 |   110K|       |     3 |
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       5 - filter("EES_CONS_PROV"."CONS_06_09_YN"='N' OR "EES_CONS_PROV"."CONS_06_09_YN"='Y')
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    Hi,
    rogers42 wrote:
    Hi Folks,
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  • Need help with the following query

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    10151 10.19
    20017 7
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    with inv_data as
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    select device,time_stamp,
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    from
    select device,time_stamp,
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    group by device,time_stamp

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    desc rumi_all
    Name     Null   Type    
    RUMI_DEVICE      VARCHAR2(20)
    STATE         NUMBER(38) 
    TIME_STAMP      DATE     
    LOCATION       VARCHAR2(50) Here is some sample data :
    RUMI_DEVICE   STATE   TIME_STAMP    LOCATION
    10.45.28.86     0     15-JUN-10      WA-102
    10.45.28.51     0     15-JUN-10      WA-102
    10.45.28.63     0     15-JUN-10      WA-102
    10.45.29.47     9     15-JUN-10      WA-120I used the below query to get the util for the hours 9am - 7pm
    select rumi_device,time_stamp,
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    from
    select rumi_device,time_stamp,
    case when usage >0 then 1
    else 0 end as ActiveHRS,
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    from
    select rumi_device,time_stamp,
    sum(case
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    when state = 0 then 0
    else 1 end) as usage
    from rumi_all
    where to_char(time_stamp,'HH24') >= '09'
    and to_char(time_stamp,'HH24') <= '19'
    and to_char(time_stamp, 'D') in (2,3,4,5,6)
    group by rumi_device, time_stamp
    group by rumi_device,time_stamp
    Acquired Out for the above query :
    RUMI_DEVICE      TIME_STAMP     UTIL_RATE
    10.45.29.47     15-JUN-10       0.234
    10.45.28.63     15-JUN-10             0.123
    10.45.29.47     15-JUN-10             0.987
    10.45.29.47     16-JUN-10             0.23Desired output :I want 2 extra columns which shows util rate for the above condition i.e 9am - 7pm(core hours) and also opposite to that condition after 7pm - before 9am(say, non core hours)
    Desired out put :
    RUMI_DEVICE TIME_STAMP  Core_Util_Rate   Non_Core_UtilRate
    10.45.29.4    15-JUN-10       0.234              0.003
    10.45.28.63   15-JUN-10     0.123              0.001
    10.45.29.47   15-JUN-10              0.987              0.023
    10.45.29.47   16-JUN-10              0.23                  0Hope this helps in answering my question , and also could you please share some document to learn writing nested sql's , i always had tough time in understanding this :-(

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