Query needed for Cumulative data

HI Friends,
I need output like this.
Frequency     Percent (%) Cumulative
Frequency     Cumulative Percent
4468     0.91     4468     0.91
21092     4.31     25560     5.23
57818     11.82     83378     17.05
6274     1.28     89652     18.33
I am using Oracle 9i.
My output data like this and I need to write the query for 3 columns (Percent ,Cumulative frequency and Cumulative percent)
1:The formula for Percent column data is (Frequency/Sum of cumulative frequency)*100
2:The formula for Cumulative Frequency column data is (Cumulative of Frequency column data)
3:The formula for Cumulative Percent column data is (Cumulative of Percent column data)
What should be the analytic function and how to write the query.
Thanks,
Lony

Hi Friends,
I need output like this.
Frequency Percent (%) Cumulative Frequency Cumulative Percent
4468 0.91 4468 0.91
21092 4.31 25560 5.23
57818 11.82 83378 17.05
6274 1.28 89652 18.33
I am using Oracle 9i.
My output data like this and I need to write the query for 3 columns (Percent ,Cumulative frequency and Cumulative percent)
1:The formula for Frequency column data is sum of (dd+cc+mc_cc_mc).
1:The formula for Percent column data is (Frequency/Sum of cumulative frequency)*100
2:The formula for Cumulative Frequency column data is (Cumulative of Frequency column data)
3:The formula for Cumulative Percent column data is (Cumulative of Percent column data)
What should be the analytic function and how to write the query.Please find the sample data and table script.
CREATE TABLE all_lony (
campno varchar2(20),
dd INTEGER,
cc INTEGER,
mc INTEGER,
cc_mc INTEGER
insert into all_lony (campno,dd,cc,mc,cc_mc)
values(36,156,1320,445,2547);
insert into all_lony (campno,dd,cc,mc,cc_mc)
values(40,233,19711,263,885);
=============
Please find my query below
SELECT campno
|| ','
|| dm
|| ','
|| cc
|| ','
|| mc
|| ','
|| cc_mc
|| ','
|| frequency
|| ','
|| per
||','
||cumulative_fr
||','
|| SUM (per) OVER (ORDER BY per ROWS UNBOUNDED PRECEDING)
FROM (SELECT q3.campno campno, q3.dm, q3.cc, q3.mc, q3.cc_mc,
q3.frequency, q3.cumulative_fr,
(q3.Frequency / SUM (q3.cumulative_fr)) * 100 per
FROM (SELECT q2.campno campno, SUM (q2.dm) dm, SUM (q2.cc) cc,
SUM (q2.mc) mc, SUM (q2.cc_mc) cc_mc,
(SUM ( NVL (q2.dm, 0)
+ NVL (q2.cc, 0)
+ NVL (q2.mc, 0)
+ NVL (q2.cc_mc, 0)
) frequency,
SUM (SUM ( NVL (q2.dm, 0)
+ NVL (q2.cc, 0)
+ NVL (q2.mc, 0)
+ NVL (q2.cc_mc, 0)
) OVER (ORDER BY SUM ( NVL (q2.dm, 0)
+ NVL (q2.cc, 0)
+ NVL (q2.mc, 0)
+ NVL (q2.cc_mc,0)
) ROWS UNBOUNDED PRECEDING)
cumulative_fr
from all_lony
q1 )q2
GROUP BY q3.campno) q3
GROUP BY campno, dm, cc, mc,cc_mc, frequency,cumulative_fr)
Can anybody just verify the query and let me know.

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SCOTT@orcl_11g> CREATE OR REPLACE PROCEDURE my_proc
2    (p_rowid IN           ROWID,
3      p_clob     IN OUT NOCOPY CLOB)
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34 /
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SCOTT@orcl_11g> SHOW ERRORS
No errors.
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4 END;
5 /
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SCOTT@orcl_11g> CREATE INDEX my_index ON emp (ename)
2 INDEXTYPE IS CTXSYS.CONTEXT
3 PARAMETERS
4    ('DATASTORE     my_datastore
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6 /
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PL/SQL procedure successfully completed.
SCOTT@orcl_11g> EXEC DBMS_STATS.GATHER_TABLE_STATS (USER, 'EMP')
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SCOTT@orcl_11g> VARIABLE cstring VARCHAR2(4000)
SCOTT@orcl_11g> BEGIN
2    :cstring := 'smith WITHIN ename';
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4    :cstring := :cstring || ' AND ' || 'research WITHIN dname';
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15    ---------------------------------------------------------------------------
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17 /
PL/SQL procedure successfully completed.
SCOTT@orcl_11g> SET AUTOTRACE ON EXPLAIN
SCOTT@orcl_11g> SELECT *
2 FROM   emp
3 WHERE CONTAINS (ename, :cstring) > 0
4 /
     EMPNO ENAME      JOB              MGR HIREDATE         SAL       COMM     DEPTNO
      7369 SMITH      CLERK           7902 17-DEC-80        800                    20
Execution Plan
Plan hash value: 1887222286
| Id | Operation                   | Name     | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT            |          |     1 |    37 |     4   (0)| 00:00:01 |
|   1 | TABLE ACCESS BY INDEX ROWID| EMP      |     1 |    37 |     4   (0)| 00:00:01 |
|* 2 |   DOMAIN INDEX              | MY_INDEX |       |       |     4   (0)| 00:00:01 |
Predicate Information (identified by operation id):
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SCOTT@orcl_11g>

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The current requirement we have is to Load data from Excel File to oracle Databases.
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Message was edited by:
Pierre Forstmann

Looking for a proper analytical query/solution for below data

I have data as shown below:
mob_id     status_code     status_text     media_date
39585     600     Online     04-Aug-09
54988     600     Online     05-Aug-09
39585     600     Online     05-Aug-09
39585     600     Online     06-Aug-09
39585     600     Online     07-Aug-09
39585     600     Online     08-Aug-09
39585     600     Online     09-Aug-09
39585     600     Online     10-Aug-09
39585     600     Online     11-Aug-09
39585     600     Online     12-Aug-09
39585     600     Online     13-Aug-09
39585     600     Online     14-Aug-09
39585     600     Online     15-Aug-09
39585     600     Online     16-Aug-09
39585     700     Deinstall     17-Aug-09
54988     600     Online     06-Aug-09
54988     600     Online     07-Aug-09
54988     600     Online     08-Aug-09
54988     600     Online     09-Aug-09
54988     600     Online     10-Aug-09
54988     600     Online     11-Aug-09
54988     600     Online     12-Aug-09
54988     600     Online     13-Aug-09
54988     600     Online     14-Aug-09
54988     600     Online     15-Aug-09
54988     600     Online     16-Aug-09
39585     600     Online     20-Aug-09
39585     600     Online     21-Aug-09
39585     600     Online     22-Aug-09
39585     600     Online     23-Aug-09
39585     600     Online     24-Aug-09
39585     600     Online     25-Aug-09
39585     700     Deinstall     26-Aug-09
39585     600     Online     27-Aug-09
39585     600     Online     28-Aug-09
39585     600     Online     29-Aug-09
39585     600     Online     30-Aug-09
39585     600     Online     31-Aug-09
39585     600     Online     01-Sep-09
39585     700     Deinstall     02-Sep-09
54988     600     Online     17-Aug-09
54988     600     Online     18-Aug-09
54988     600     Online     19-Aug-09
54988     600     Online     20-Aug-09
54988     600     Online     21-Aug-09
54988     600     Online     22-Aug-09
54988     600     Online     23-Aug-09
54988     600     Online     24-Aug-09
54988     600     Online     25-Aug-09
54988     700     Deinstall     26-Aug-09
69875     600     Online     20-Aug-09
69875     600     Online     21-Aug-09
69875     600     Online     22-Aug-09
69875     600     Online     23-Aug-09
69875     600     Online     24-Aug-09
69875     600     Online     25-Aug-09
69875     600     Online     26-Aug-09
Using the above data I need to find out the below result set. Can any one help in this?
occurrnace_seq     mob_id     start_media_date     end_media_date     no_of_days
1     39585     04-Aug-09     17-Aug-09     13
2     39585     20-Aug-09     26-Aug-09     6
3     39585     27-Aug-09     02-Sep-09     6
1     54988     05-Aug-09     26-Aug-09     21
1     69875     20-Aug-09          null null
Here start_media_date can be found with status_code=600 & end_media_date can be found with status_code=700.
Please look that the mobility_id is starting multiple times.
Any one can help me in producing this result using SQL or PL/SQL.
Many thanks in advance.
Thanks
Guttiwas

guttis wrote:
Can I run this query on a 70 million records? Does it raise any performance problems. If you have any idea, just thorough some possible suggestions to protect such isses.Well, you can certailny run it on 70 million records. How long it will run depends on your hardware, Oracle and OS settings. Said that, there is a simpler solution:
select occurrenace_seq,
        mob_id,
        min(case grp when 'start-of-group' then media_date end) start_media_date,
        max(case grp when 'end-of-group' then media_date end) end_media_date,
        max(case grp when 'end-of-group' then media_date end) - min(case grp when 'start-of-group' then media_date end) no_of_days
from (
         select t.*,
                 case
                   when status_text = 'Deinstall' then 'end-of-group'
                   when lag(status_text,1,'Deinstall') over(partition by mob_id order by media_date) = 'Deinstall' then 'start-of-group'
                 end grp,
                 sum(case status_text when 'Deinstall' then 1 else 0 end) over(partition by mob_id order by media_date) +
                 case lag(status_text,1,'Deinstall') over(partition by mob_id order by media_date) when 'Deinstall' then 1 else 0 end occurrenace_seq
           from your_table t
where grp in ('start-of-group','end-of-group')
group by mob_id,
           occurrenace_seq
order by mob_id,
           occurrenace_seq
/With your sample:
with t as (
           select 39585 mob_id,600 status_code,'Online' status_text, to_date('04-Aug-09','dd-mon-yy') media_date from dual union all
           select 54988,600,'Online',to_date('05-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('05-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('06-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('07-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('08-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('09-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('10-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('11-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('12-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('13-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('14-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('15-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('16-Aug-09','dd-mon-yy') from dual union all
           select 39585,700,'Deinstall', to_date('17-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('06-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('07-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('08-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('09-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('10-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('11-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('12-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('13-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('14-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('15-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('16-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('20-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('21-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('22-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('23-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('24-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('25-Aug-09','dd-mon-yy') from dual union all
           select 39585,700,'Deinstall', to_date('26-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('27-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('28-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('29-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('30-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('31-Aug-09','dd-mon-yy') from dual union all
           select 39585,600,'Online',to_date('01-Sep-09','dd-mon-yy') from dual union all
           select 39585,700,'Deinstall', to_date('02-Sep-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('17-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('18-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('19-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('20-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('21-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('22-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('23-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('24-Aug-09','dd-mon-yy') from dual union all
           select 54988,600,'Online',to_date('25-Aug-09','dd-mon-yy') from dual union all
           select 54988,700,'Deinstall', to_date('26-Aug-09','dd-mon-yy') from dual union all
           select 69875,600,'Online',to_date('20-Aug-09','dd-mon-yy') from dual union all
           select 69875,600,'Online',to_date('21-Aug-09','dd-mon-yy') from dual union all
           select 69875,600,'Online',to_date('22-Aug-09','dd-mon-yy') from dual union all
           select 69875,600,'Online',to_date('23-Aug-09','dd-mon-yy') from dual union all
           select 69875,600,'Online',to_date('24-Aug-09','dd-mon-yy') from dual union all
           select 69875,600,'Online',to_date('25-Aug-09','dd-mon-yy') from dual union all
           select 69875,600,'Online',to_date('26-Aug-09','dd-mon-yy') from dual
select occurrenace_seq,
        mob_id,
        min(case grp when 'start-of-group' then media_date end) start_media_date,
        max(case grp when 'end-of-group' then media_date end) end_media_date,
        max(case grp when 'end-of-group' then media_date end) - min(case grp when 'start-of-group' then media_date end) no_of_days
from (
         select t.*,
                 case
                   when status_text = 'Deinstall' then 'end-of-group'
                   when lag(status_text,1,'Deinstall') over(partition by mob_id order by media_date) = 'Deinstall' then 'start-of-group'
                 end grp,
                 sum(case status_text when 'Deinstall' then 1 else 0 end) over(partition by mob_id order by media_date) +
                 case lag(status_text,1,'Deinstall') over(partition by mob_id order by media_date) when 'Deinstall' then 1 else 0 end occurrenace_seq
           from t
where grp in ('start-of-group','end-of-group')
group by mob_id,
           occurrenace_seq
order by mob_id,
           occurrenace_seq
OCCURRENACE_SEQ     MOB_ID START_MED END_MEDIA NO_OF_DAYS
              1      39585 04-AUG-09 17-AUG-09         13
              2      39585 20-AUG-09 26-AUG-09          6
              3      39585 27-AUG-09 02-SEP-09          6
              1      54988 05-AUG-09 26-AUG-09         21
              1      69875 20-AUG-09
SQL> SY.

Decode query need for aging

Hi All,
Following is the query which is working for aging for condition and round(st.close_dt - st.open_dt) >60 and corresponding column output count(round(st.close_dt - st.open_dt)) ">60" but we need the same in report of column of
count(round(st.close_dt - st.open_dt)) "<15"
count(round(st.close_dt - st.open_dt)) "16 to 30"
count(round(st.close_dt - st.open_dt)) "31 to 45"
count(round(st.close_dt - st.open_dt)) "45 to 60"
which is based on condition round(st.close_dt - st.open_dt) <15
round(st.close_dt - st.open_dt) between 16 and 31
round(st.close_dt - st.open_dt) between 31 and 45
round(st.close_dt - st.open_dt) between 46 and 60
but we can't use this all condition at a time as individual it is working fine.
Could you please let me know how we can user this all in one so the I can get the output at a time <15, 16 to 30, 31 to 45, 46 to 60 and >60.
{select       count(round(st.close_dt - st.open_dt)) ">60"
from stat.csr_master_tbl m,
     stat.customers c,
     stat.proj_csrs p,
     stat.appl_type ap,
    stat.csr_type_cd tp,
     stat.csr_status st,
     stat.csr_status_cd sc,
     stat.wrkflw_defn w
where m.cust_id = c.cust_id
and m.csr_id = p.csr_id (+)
and m.sd_cd = p.sd_cd (+)
and m.appl_cd = ap.appl_cd
and m.sd_cd = ap.sd_cd
and m.sd_cd = tp.sd_cd
and m.csr_type = tp.csr_type_cd
and m.sd_cd = st.sd_cd
and m.csr_id = st.csr_id
and st.csr_status_cd = sc.csr_status_cd
and st.sd_cd = sc.sd_cd
and tp.csr_type_cd = sc.csr_type_cd
and m.wrkflw_id = w.wrkflw_id
and (m.sd_cd in ('11i','AVA') or (m.sd_cd in ('STR') ))
and (    st.close_dt between to_date(:beg_date,'MM/DD/YYYY') and to_date(:end_date,'MM/DD/YYYY')
       or st.closed_status_flag <> 'Y')
--and sc.descr <> 'Cancel'
AND sc.descr IN ('Close')
and p.proj_cd='OAPS'
and round(st.close_dt - st.open_dt) >60
and tp.descr in ('Break-Fix Datafix'
,'Break-Fix Configuration'
,'Break-Fix Development'
,'Vendor Patch')
and c.first_name in ('Springville'
,'Cookeville'
,'Bangalore'
,'Deer Park'
,'Sulphur Springs'
,'P11i'
,'Singapore'
,'Bangalore Chemical'
,'Baton Rouge'
,'Kaohsiung'
,'Bangalore Controls'
,'Damam'
,'Dayton Foundry'
,'Edmonton'
,'Jebel Ali'
,'Melbourne'
,'Philadelphia')}

You might try something like
select
   sum(case when round(st.close_dt - st.open_dt) < 15              then 1 else 0 end) "< 15", -- shouldn't it be <=15?
   sum(case when round(st.close_dt - st.open_dt) between 16 and 30 then 1 else 0 end) "16 to 30",
   ...and you should have posted this question in the PL/SQL forum.
Edited by: UW (Germany) on 17.08.2012 12:15

QUERY NEED FOR TIME DIFFERENCE

Hi
I need a query to find the difference between time
for example
5.00 hours - 0.30 minutes = 4.30 hours
Thanks in Advance
Adina

Is this what you are looking for -
1 select to_date('05:00', 'hh24:mi') - 0.5/24   --Subtract ½ Hr from time
2* from dual
SQL> /
TO_DATE('05:
200804010430
1 select to_date('05:00', 'hh24:mi') - 3/24     --Subtract 3 Hrs from time
2* from dual
SQL> /
TO_DATE('05:
200804010200
1 select to_date('05:30', 'hh24:mi') + 0.5/24   --Adds ½ Hr to the time
2* from dual
SQL> /
TO_DATE('05:
200804010600
1 select to_date('20080416 00:02', 'yyyymmdd hh24:mi') - 0.5/24     --Subtract ½ Hr from time 2* from dual
SQL> /
TO_DATE('200
200804152332Shailender Mehta

Time needed for automated data transfer - hypothetic

An EBS client with interest in maintaining integration in their large customer base backoffice and with CRMOD has had past challenges in terms of the overall size of the data they wish to integration and the time it takes to do so. As such, the client wishes to understand from a data size (X GIGS) and time (how much time) it might take to for instance synchronize their data. Since they would not quantify their data size, I can only ask... how much data be moved and how fast. This is urgent. Any experienced help here using strategies such as batch integration leveraging web services, cast iron systems or PIP is of help here!

Disclaimer
The Author of this posting offers the information contained within this posting without consideration and with the reader's understanding that there's no implied or expressed suitability or fitness for any purpose. Information provided is for informational purposes only and should not be construed as rendering professional advice of any kind. Usage of this posting's information is solely at reader's own risk.
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Posting
"And the solution was using an FTP client which was able to send files using multiple parallel threads."
Yep, although that assumes you have multiple files (for which it can work very well).
For a single large file, a variation of what Milan described, is using a utility that can slice and dice (and reassemble) a single file across multiple TCP flows.
"Another possibility would be using some WAN accelerators (like Riverbeds, e.g.) which would sent "local ACKs" to the clients on both sides and improve the efficiency of the WAN file transfer."
Yep, again, and such products can even "transfer" faster than the line rate. The latter is possible because they generally compress in-line and also use local caching (negating the need to send some data). One of their issues, their transfer rates can be very variable and inconsistent.

Query needed for Cumulative data

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