Count(*) with group by max(date)

SQL> select xdesc,xcust,xdate from coba1 order by xdesc,xcust,xdate;
XDESC XCUST XDATE
RUB-A 11026 01-JAN-06
RUB-A 11026 05-JAN-06
RUB-A 11026 08-JAN-06
RUB-A 11027 10-JAN-06
RUB-B 11026 02-JAN-06
RUB-B 11026 08-JAN-06
RUB-B 11026 09-JAN-06
RUB-C 11027 08-JAN-06
I want to make sql that result :
XDESC COUNT(*)
RUB-A 2
RUB-B 1
RUB-C 1
Criteria : GROUPING: XDESC XCUST AND MAX(DATE)
bellow mark *** that was selected in count.
XDESC XCUST XDATE
RUB-A 11026 01-JAN-06
RUB-A 11026 05-JAN-06
RUB-A 11026 08-JAN-06 ***
RUB-A 11027 10-JAN-06 ***
---------------------------------------------------------COUNT RUB-A = 2
RUB-B 11026 02-JAN-06
RUB-B 11026 08-JAN-06
RUB-B 11026 09-JAN-06 ***
---------------------------------------------------------COUNT RUB-B = 1
RUB-C 11027 08-JAN-06 ***
--------------------------------------------------------COUNT RUB-C = 1
Can Anybody help ?
I tried :
select xdesc,max(xdate),count(max(xdate)) from coba1 group by xdesc
ERROR at line 1:
ORA-00937: not a single-group group function
Thank

This one is duplicate. see the following link
Count(*) with group by max(date)
Thanks

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I hope this answers your question.
If not, post a little sample data (CREATE TABLE and INSERT statements, relevant columns only) for all the tables involved, and the results you want from that data.
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All,
I have a set like below:
State DOB StartDt EndDt Desc Category MemberID SubID Code
NC 2003-01-30 2014-01-01 2014-01-31 Child B 123456 2 38
NC 2003-01-30 2014-01-01 2014-01-31 Child B 123456 2 39
NC 2003-01-30 2014-02-01 2014-05-31 Child B 123456 2 38
NC 2003-01-30 2014-02-01 2014-05-31 Child B 123456 2 39
NC 2003-01-30 2014-06-01 2014-07-31 Child B 123456 2 38
NC 2003-01-30 2014-06-01 2014-07-31 Child B 123456 2 39
NC 2014-01-17 2014-01-01 2014-07-31 Infant S 456789 1 49
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OK, so we need a different approach. We need a table of numbers, a concept that I discuss here:
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('NC', '20130130', '20140614', '20140731', 'Child', 'B', '123456', '2', '39'),
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, COUNT(DISTINCT convert(char(10), MemberID) +
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datediff(MONTH, '19000101', t.EndDt)
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Erland Sommarskog, SQL Server MVP, [email protected]

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Shared NumberVar Job_Count_Monthly;
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insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.31.227','DD-MM-YY HH24:MI:SS:FF3' ),49.55,707985 );
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insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.44.352','DD-MM-YY HH24:MI:SS:FF3' ),49.59,710502 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.44.352','DD-MM-YY HH24:MI:SS:FF3' ),49.59,710102 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.44.352','DD-MM-YY HH24:MI:SS:FF3' ),49.59,709962 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.52.399','DD-MM-YY HH24:MI:SS:FF3' ),49.59,711427 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.44.977','DD-MM-YY HH24:MI:SS:FF3' ),49.6,710902 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.50.492','DD-MM-YY HH24:MI:SS:FF3' ),49.6,711379 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.45.550','DD-MM-YY HH24:MI:SS:FF3' ),49.6,711302 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.00.50.492','DD-MM-YY HH24:MI:SS:FF3' ),49.62,711417 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.57.790','DD-MM-YY HH24:MI:SS:FF3' ),49.49,715587 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.47.712','DD-MM-YY HH24:MI:SS:FF3' ),49.5,715166 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.57.790','DD-MM-YY HH24:MI:SS:FF3' ),49.5,715469 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.24.821','DD-MM-YY HH24:MI:SS:FF3' ),49.53,714833 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.24.821','DD-MM-YY HH24:MI:SS:FF3' ),49.53,714914 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.24.493','DD-MM-YY HH24:MI:SS:FF3' ),49.54,714136 );
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insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.19.977','DD-MM-YY HH24:MI:SS:FF3' ),49.55,713562 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.08.695','DD-MM-YY HH24:MI:SS:FF3' ),49.59,712172 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.09.274','DD-MM-YY HH24:MI:SS:FF3' ),49.59,713287 );
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insert into mytable1 values (to_timestamp ('04-MAR-08 09.01.08.695','DD-MM-YY HH24:MI:SS:FF3' ),49.59,712185 );
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insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.32.244','DD-MM-YY HH24:MI:SS:FF3' ),49.46,725577 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.26.181','DD-MM-YY HH24:MI:SS:FF3' ),49.49,724664 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.25.540','DD-MM-YY HH24:MI:SS:FF3' ),49.49,723366 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.26.181','DD-MM-YY HH24:MI:SS:FF3' ),49.49,725242 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.26.181','DD-MM-YY HH24:MI:SS:FF3' ),49.49,725477 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.25.947','DD-MM-YY HH24:MI:SS:FF3' ),49.49,724521 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.25.540','DD-MM-YY HH24:MI:SS:FF3' ),49.49,723943 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.25.540','DD-MM-YY HH24:MI:SS:FF3' ),49.49,724086 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.34.103','DD-MM-YY HH24:MI:SS:FF3' ),49.49,725609 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.15.118','DD-MM-YY HH24:MI:SS:FF3' ),49.5,720166 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.15.118','DD-MM-YY HH24:MI:SS:FF3' ),49.5,720066 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.11.774','DD-MM-YY HH24:MI:SS:FF3' ),49.5,718524 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.15.696','DD-MM-YY HH24:MI:SS:FF3' ),49.5,722086 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.11.774','DD-MM-YY HH24:MI:SS:FF3' ),49.5,718092 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.11.774','DD-MM-YY HH24:MI:SS:FF3' ),49.5,715673 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.15.118','DD-MM-YY HH24:MI:SS:FF3' ),49.51,719666 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.02.12.555','DD-MM-YY HH24:MI:SS:FF3' ),49.52,719384 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.28.963','DD-MM-YY HH24:MI:SS:FF3' ),49.48,728830 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.11.884','DD-MM-YY HH24:MI:SS:FF3' ),49.48,726609 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.28.963','DD-MM-YY HH24:MI:SS:FF3' ),49.48,728943 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.45.947','DD-MM-YY HH24:MI:SS:FF3' ),49.49,729627 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.12.259','DD-MM-YY HH24:MI:SS:FF3' ),49.49,726830 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.46.494','DD-MM-YY HH24:MI:SS:FF3' ),49.49,733653 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.46.510','DD-MM-YY HH24:MI:SS:FF3' ),49.49,733772 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.12.259','DD-MM-YY HH24:MI:SS:FF3' ),49.49,727830 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.59.119','DD-MM-YY HH24:MI:SS:FF3' ),49.5,735772 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.03.47.369','DD-MM-YY HH24:MI:SS:FF3' ),49.5,734772 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.20.463','DD-MM-YY HH24:MI:SS:FF3' ),49.48,740621 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.12.369','DD-MM-YY HH24:MI:SS:FF3' ),49.48,740538 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.20.463','DD-MM-YY HH24:MI:SS:FF3' ),49.48,741021 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.10.588','DD-MM-YY HH24:MI:SS:FF3' ),49.49,740138 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.463','DD-MM-YY HH24:MI:SS:FF3' ),49.49,738320 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.135','DD-MM-YY HH24:MI:SS:FF3' ),49.49,737122 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.135','DD-MM-YY HH24:MI:SS:FF3' ),49.49,736424 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.260','DD-MM-YY HH24:MI:SS:FF3' ),49.49,737598 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.744','DD-MM-YY HH24:MI:SS:FF3' ),49.49,739360 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.135','DD-MM-YY HH24:MI:SS:FF3' ),49.49,736924 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.260','DD-MM-YY HH24:MI:SS:FF3' ),49.49,737784 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.463','DD-MM-YY HH24:MI:SS:FF3' ),49.49,738145 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.744','DD-MM-YY HH24:MI:SS:FF3' ),49.49,739134 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.09.463','DD-MM-YY HH24:MI:SS:FF3' ),49.49,738831 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.56.215','DD-MM-YY HH24:MI:SS:FF3' ),49.5,742421 );
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insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.56.840','DD-MM-YY HH24:MI:SS:FF3' ),49.51,743021 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.04.57.511','DD-MM-YY HH24:MI:SS:FF3' ),49.52,743497 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.00.270','DD-MM-YY HH24:MI:SS:FF3' ),49.52,744021 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.17.699','DD-MM-YY HH24:MI:SS:FF3' ),49.53,750292 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.00.433','DD-MM-YY HH24:MI:SS:FF3' ),49.53,747382 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.17.699','DD-MM-YY HH24:MI:SS:FF3' ),49.53,749939 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.15.152','DD-MM-YY HH24:MI:SS:FF3' ),49.53,749414 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.00.433','DD-MM-YY HH24:MI:SS:FF3' ),49.53,744882 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.08.110','DD-MM-YY HH24:MI:SS:FF3' ),49.54,749262 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.01.168','DD-MM-YY HH24:MI:SS:FF3' ),49.54,748418 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.01.152','DD-MM-YY HH24:MI:SS:FF3' ),49.54,748243 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.05.07.293','DD-MM-YY HH24:MI:SS:FF3' ),49.54,748862 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.09.433','DD-MM-YY HH24:MI:SS:FF3' ),49.51,750414 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.28.262','DD-MM-YY HH24:MI:SS:FF3' ),49.53,750930 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.28.887','DD-MM-YY HH24:MI:SS:FF3' ),49.53,751986 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.28.887','DD-MM-YY HH24:MI:SS:FF3' ),49.53,750986 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.30.997','DD-MM-YY HH24:MI:SS:FF3' ),49.55,753900 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.30.887','DD-MM-YY HH24:MI:SS:FF3' ),49.55,753222 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.29.809','DD-MM-YY HH24:MI:SS:FF3' ),49.55,753022 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.29.809','DD-MM-YY HH24:MI:SS:FF3' ),49.55,752847 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.42.622','DD-MM-YY HH24:MI:SS:FF3' ),49.56,755385 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.31.120','DD-MM-YY HH24:MI:SS:FF3' ),49.56,754385 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.49.590','DD-MM-YY HH24:MI:SS:FF3' ),49.6,759087 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.50.341','DD-MM-YY HH24:MI:SS:FF3' ),49.6,759217 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.49.590','DD-MM-YY HH24:MI:SS:FF3' ),49.6,758701 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.57.262','DD-MM-YY HH24:MI:SS:FF3' ),49.6,761049 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.48.637','DD-MM-YY HH24:MI:SS:FF3' ),49.6,757827 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.48.120','DD-MM-YY HH24:MI:SS:FF3' ),49.6,757385 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.56.466','DD-MM-YY HH24:MI:SS:FF3' ),49.62,761001 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.56.137','DD-MM-YY HH24:MI:SS:FF3' ),49.62,760109 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.56.137','DD-MM-YY HH24:MI:SS:FF3' ),49.62,759617 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.56.278','DD-MM-YY HH24:MI:SS:FF3' ),49.62,760265 );
insert into mytable1 values (to_timestamp ('04-MAR-08 09.06.56.137','DD-MM-YY HH24:MI:SS:FF3' ),49.62,759954 );
so if I do
SELECT DISTINCT row_number() over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ASC ) num,
MIN(price) over (partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60) low ,
MAX(price) over (partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60) high ,
-- sum(volume) over( partition by trunc(my_time, 'hh24') + (trunc(to_char(my_time,'mi')))/24/60 order by trunc(my_time, 'hh24') + (trunc(to_char(my_time,'mi')))/24/60 asc ) volume,
TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 TIME ,
price ,
COUNT( *) over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ASC ,price ASC,volume ASC ) TRADE,
first_value(price) over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ASC,volume ASC ) OPEN ,
first_value(price) over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 DESC,volume DESC) CLOSE ,
lag(price) over ( order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60) lag_all
FROM mytable1
WHERE my_time > to_timestamp('04032008:09:00:00','DDMMYYYY:HH24:MI:SS')
AND my_time < to_timestamp('04032008:09:01:00','DDMMYYYY:HH24:MI:SS')
GROUP BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ,
price ,
volume
ORDER BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60,
price ,
num;
i have
NUM|LOW|HIGH|TIME|PRICE|TRADE|OPEN|CLOSE|LAG_ALL
1|49.55|49.62|04/03/2008 09:00:00|49.55|1|49.55|49.59|
2|49.55|49.62|04/03/2008 09:00:00|49.55|2|49.55|49.59|49.55
3|49.55|49.62|04/03/2008 09:00:00|49.55|3|49.55|49.59|49.55
4|49.55|49.62|04/03/2008 09:00:00|49.55|4|49.55|49.59|49.55
5|49.55|49.62|04/03/2008 09:00:00|49.55|5|49.55|49.59|49.55
6|49.55|49.62|04/03/2008 09:00:00|49.55|6|49.55|49.59|49.55
7|49.55|49.62|04/03/2008 09:00:00|49.56|7|49.55|49.59|49.55
8|49.55|49.62|04/03/2008 09:00:00|49.57|8|49.55|49.59|49.56
9|49.55|49.62|04/03/2008 09:00:00|49.58|9|49.55|49.59|49.57
10|49.55|49.62|04/03/2008 09:00:00|49.59|10|49.55|49.59|49.58
11|49.55|49.62|04/03/2008 09:00:00|49.59|11|49.55|49.59|49.59
12|49.55|49.62|04/03/2008 09:00:00|49.59|12|49.55|49.59|49.59
13|49.55|49.62|04/03/2008 09:00:00|49.59|13|49.55|49.59|49.59
14|49.55|49.62|04/03/2008 09:00:00|49.6|14|49.55|49.59|49.59
15|49.55|49.62|04/03/2008 09:00:00|49.6|15|49.55|49.59|49.6
16|49.55|49.62|04/03/2008 09:00:00|49.6|16|49.55|49.59|49.6
17|49.55|49.62|04/03/2008 09:00:00|49.62|17|49.55|49.59|49.6
Witch is errouneous
because
if I do'nt put the volume column in the script I get another result
SELECT DISTINCT row_number() over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ASC ) num,
MIN(price) over (partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60) low ,
MAX(price) over (partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60) high ,
-- sum(volume) over( partition by trunc(my_time, 'hh24') + (trunc(to_char(my_time,'mi')))/24/60 order by trunc(my_time, 'hh24') + (trunc(to_char(my_time,'mi')))/24/60 asc ) volume,
TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 TIME ,
price ,
COUNT( *) over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ASC ,price ASC ) TRADE,
first_value(price) over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ASC ) OPEN ,
first_value(price) over( partition BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 DESC) CLOSE ,
lag(price) over ( order by TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60) lag_all
FROM mytable1
WHERE my_time > to_timestamp('04032008:09:00:00','DDMMYYYY:HH24:MI:SS')
AND my_time < to_timestamp('04032008:09:01:00','DDMMYYYY:HH24:MI:SS')
GROUP BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60 ,
price
ORDER BY TRUNC(my_time, 'hh24') + (TRUNC(TO_CHAR(my_time,'mi')))/24/60,
price ,
num;
I get this
NUM|LOW|HIGH|TIME|PRICE|TRADE|OPEN|CLOSE|LAG_ALL
1|49.55|49.62|04/03/2008 09:00:00|49.55|1|49.55|49.55|
2|49.55|49.62|04/03/2008 09:00:00|49.56|2|49.55|49.55|49.55
3|49.55|49.62|04/03/2008 09:00:00|49.57|3|49.55|49.55|49.56
4|49.55|49.62|04/03/2008 09:00:00|49.58|4|49.55|49.55|49.57
5|49.55|49.62|04/03/2008 09:00:00|49.59|5|49.55|49.55|49.58
6|49.55|49.62|04/03/2008 09:00:00|49.6|6|49.55|49.55|49.59
7|49.55|49.62|04/03/2008 09:00:00|49.62|7|49.55|49.55|49.6
How can I have the right count with all the column of the table?
Babata

I'm not sure what in your eye the "right count" is. but I think the DISTINCT keyword is hiding the problems that you have. It could also be the reason for the different number of results between query one and query two.

TSQL query to calculate Count / Sum grouping by date on a Pivot Table

Hi All
I need help to group the pivot table output to group by dates and sum/count the values. I have a table like shown below.
Date
Student
Subject
Hunt
Marks
18/02/2014
Sam
Maths
1
20
18/02/2014
Sam
Maths
1
10
18/02/2014
Sam
Maths
2
30
18/02/2014
Luke
Science
1
50
17/02/2014
Sam
Maths
2
50
17/02/2014
Luke
Science
2
60
16/02/2014
Luke
Science
2
20
16/02/2014
Luke
Science
3
20
I want to Group by dates and move the Hunt to columns calculating their counts and sum their marks too. Like given below.
I wrote a pivot query like below but If i group it with dates and calculate the total marks it throws aggregate errors.
Create Table Student_Log ([Date] datetime ,Student varchar (20), Subject varchar (20) ,Hunt int ,Marks int )
Go
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','1','20')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','1','10')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','2','30')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Luke','Science','1','50')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-17 15:00:00.000','Sam ','Maths','2','50')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-17 15:00:00.000','Luke','Science','2','60')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','2','20')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','3','20')
Go
select * from Student_Log
select [DATE] , [Student], [Subject] ,[1],[2],[3],[4],Total =([1]+[2]+[3]+[4])
from
( select [Date], [Student], [Subject],[Hunt],[Marks] from Student_Log
)x
pivot
count ( [Hunt]) for [Hunt]
in ([1],[2],[3],[4])
)p
order by [Date] desc
I have done this far only. More than this I need to enhance it with the Percentage of Hunts for each Student.
ie like below table.
On 18th Sam in Maths he had 2 rows on 1st hunt and 1 row on 2nd hunt. So On the Pivot table is it possible to represent it on percentage using the Total Attempts column.
Thanks a lot in advance.
Its runnung in SQL 2000 Server.

Create Table Student_Log ([Date] datetime ,Student varchar (20), Subject varchar (20) ,Hunt int ,Marks int )
Go
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','1','20')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','1','10')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','2','30')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Luke','Science','1','50')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-17 15:00:00.000','Sam ','Maths','2','50')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-17 15:00:00.000','Luke','Science','2','60')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','2','20')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','3','20')
Go
select * from Student_Log
;with mycte as
Select [Date], [Student], [Subject] ,
Count(CASE WHEN [Hunt]=1 Then Hunt End) as Hunt1,
Count(CASE WHEN [Hunt]=2 Then Hunt End) as Hunt2,
Count(CASE WHEN [Hunt]=3 Then Hunt End) as Hunt3,
Count(CASE WHEN [Hunt]=4 Then Hunt End) as Hunt4,
Count(CASE WHEN [Hunt]=1 Then Hunt End)
+Count(CASE WHEN [Hunt]=2 Then Hunt End)
+Count(CASE WHEN [Hunt]=3 Then Hunt End)+
+Count(CASE WHEN [Hunt]=4 Then Hunt End) as Total,
ISNULL(SUM(CASE WHEN [Hunt]=1 Then Marks End),0) as Mark1,
ISNULL(SUM(CASE WHEN [Hunt]=2 Then Marks End),0) as Mark2,
ISNULL(SUM(CASE WHEN [Hunt]=3 Then Marks End),0) as Mark3,
ISNULL(SUM(CASE WHEN [Hunt]=4 Then Marks End),0) as Mark4
from Student_Log
Group By [Date], [Student], [Subject]
Select [Date], [Student], [Subject]
, Cast(Hunt1*1./Total*100 as int) as [1]
, Cast(Hunt2*1./Total*100 as int) as [2]
,Cast(Hunt3*1./Total*100 as int) as [3]
,Cast(Hunt4*1./Total*100 as int) as [4]
,Total,Marks=( Mark1+Mark2+Mark3+Mark4)
from mycte
order by [Date] DESC, Student desc
drop table Student_Log

Using count function with grouped records

Hi all,
This seems like it should be real easy but I have yet to figure out a simple way to do this.
Suppose I want to count Opportunities that are grouped by Sales Rep. At run-time I am filtering this list with a parameter for Sales Stage and created date.
I've simplified this greatly, but here's what my setup looks like now:
Sales Rep* ---------Count*_
<?for-each-group:Opportunity[SalesStage=param1 and Created>param2];./salesrep?>
<?salesrep?>-------<?count(current-group()/Id)?>
<?end for-each-group?>
Total_
The only solution I have so far to get my grand total is to create a variable and keep a running total which I'll then display in the Total column. While it works, it seems like there should be an easier way, like doing a simple count(Id) to get the grand total. But since the Total appears after the end for-each-group, I lose the filter that was applied to the group so that count is invalid.
Any thoughts from the experts?
Thanks!

To get grand total
use
<?count(/Oppurtunity[SalesStage=param1 and Created>param2]/Id)?>since you did not mention the complete xml, i assumed, Opportunity as the Root.
if not, put the full path from the root.
if you give some xml sample, and explain the output you wanted, we can fix it immediately.
go thru these too..some thing can be pulled from here .
http://winrichman.blogspot.com/search/label/Summation%20In%20BIP
http://winrichman.blogspot.com/search/label/BIP%20Vertical%20sum

Count, Group by between dates

I am trying to count the number of IDs dropped and enrolled in each unit for each of the 4 terms between their perspective dates.
There are 4 Terms and an ID can participate in a unit in any of these terms:
TERM
START_DATE
END_DATE
1
25-Feb-13
18-Mar-13
2
27-May-13
17-Jun-13
3
26-Aug-13
16-Sep-13
4
25-Nov-13
16-Dec-13
I am trying to count how many IDs enrolled in a unit between those dates and how many doped before the end date
The ENROL_DATE for each ID in a unit has to be between the given Term Dates to count.
Unit KIS has 1 ENROL and one DROP in TERM 1
UNIT POL occurs in TERM 2 and 4 and both DROP
UNIT LIN and 1 ENROL and 1 DROP in 2 different TERMS
My problem is how do i specify count ENROL and count drop between the Term dates and then group by TERM and UNIT.
Please see below table for given data and expected result. It should make sense.
Thanks,
{code}
CREATE TABLE DAN_GR4
(ID             NUMBER(12),
STATUS           VARCHAR2(12),
TERM             NUMBER(12),
ENROL_DTE       DATE,
TERM_START_DTE DATE,
TERM_END_DATE   DATE,
UNIT            VARCHAR2 (12));
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('1',    'ENROL'    ,'1',    '15-Mar-13'    ,'25-Feb-13' ,'18-Mar-13', 'KIS');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('1',    'DROP'    ,'2',    '27-MAY-13'    ,'27-MAY-13' ,'17-JUN-13',    'POL');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('1',    'DROP'    ,'2',    '27-JUN-13'    ,'27-MAY-13' ,'17-JUN-13',    'LIN');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('1',    'DROP'    ,'3',    '27-JUN-13'    ,'27-MAY-13' ,'17-JUN-13',    'PUI');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('2',    'DROP'    ,'3', '26-SEP-13'    ,'26-AUG-13' ,'16-SEP-13',    'POL');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('2',    'ENROL'    ,'4',    '26-NOV-13'    ,'25-NOV-13' ,'16-DEC-13',    'LIN');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('3',    'DROP'    ,'4',    '15-DEC-13'    ,'25-NOV-13' ,'16-DEC-13',    'LIN');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('3',    'DROP'    ,'4',    '15-DEC-13'    ,'25-NOV-13' ,'16-DEC-13',    'POL');
INSERT INTO DAN_GR4 (ID,STATUS,TERM,ENROL_DTE,TERM_START_DTE,TERM_END_DATE,UNIT) VALUES ('3',    'DROP'    ,'1',    '15-DEC-13'    ,'25-FEB-13' ,'18-MAR-13',    'KIS');
{code}
GIVES:
ID
STATUS
TERM
ENROL_DTE
TERM_START_DTE
TERM_END_DATE
UNIT
1
ENROL
1
15-Mar-13
25-Feb-13
18-Mar-13
KIS
1
DROP
2
27-May-13
27-May-13
17-Jun-13
POL
1
DROP
2
27-Jun-13
27-May-13
17-Jun-13
LIN
1
DROP
3
27-Jun-13
27-May-13
17-Jun-13
PUI
2
DROP
3
26-Sep-13
26-Aug-13
16-Sep-13
POL
2
ENROL
4
26-Nov-13
25-Nov-13
16-Dec-13
LIN
3
DROP
4
15-Dec-13
25-Nov-13
16-Dec-13
LIN
3
DROP
4
15-Dec-13
25-Nov-13
16-Dec-13
POL
3
DROP
1
15-Dec-13
25-Feb-13
18-Mar-13
KIS
WANT:
UNIT
TERM_START_DTE
DROP_BEFORE_END_DATE
TERM
KIS
1
1
1
POL
1
2
POL
1
3
POL
1
4
LIN
1
1
4
LIN
1
2
PUI
1
3
USING:
Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - 64bi

with
dan_gr4 as
(select '1' id,
        'ENROL' status,
        '1' term,
        to_date('15-Mar-13','dd-MON-rr') enrol_dte,
        to_date('25-Feb-13','dd-MON-rr') term_start_dte,
        to_date('18-Mar-13','dd-MON-rr') term_end_dte,
        'KIS' unit
   from dual
union all
select '1','DROP','2',to_date('27-MAY-13','dd-MON-rr'),to_date('27-MAY-13','dd-MON-rr'),to_date('17-JUN-13','dd-MON-rr'),'POL' from dual union all
select '1','DROP','2',to_date('27-JUN-13','dd-MON-rr'),to_date('27-MAY-13','dd-MON-rr'),to_date('17-JUN-13','dd-MON-rr'),'LIN' from dual union all
select '1','DROP','3',to_date('27-JUN-13','dd-MON-rr'),to_date('27-MAY-13','dd-MON-rr'),to_date('17-JUN-13','dd-MON-rr'),'PUI' from dual union all
select '2','DROP','3',to_date('26-SEP-13','dd-MON-rr'),to_date('26-AUG-13','dd-MON-rr'),to_date('16-SEP-13','dd-MON-rr'),'POL' from dual union all
select '2','ENROL','4',to_date('26-NOV-13','dd-MON-rr'),to_date('25-NOV-13','dd-MON-rr'),to_date('16-DEC-13','dd-MON-rr'),'LIN' from dual union all
select '3','DROP','4',to_date('15-DEC-13','dd-MON-rr'),to_date('25-NOV-13','dd-MON-rr'),to_date('16-DEC-13','dd-MON-rr'),'LIN' from dual union all
select '3','DROP','4',to_date('15-DEC-13','dd-MON-rr'),to_date('25-NOV-13','dd-MON-rr'),to_date('16-DEC-13','dd-MON-rr'),'POL' from dual union all
select '3','DROP','1',to_date('15-DEC-13','dd-MON-rr'),to_date('25-FEB-13','dd-MON-rr'),to_date('18-MAR-13','dd-MON-rr'),'KIS' from dual
select unit,term,max(decode(enrolled,'within','Late')) late_enrolment,max(dropped) when_dropped
from (select unit,term,
               case when status = 'ENROL'
                    then case when enrol_dte between term_start_dte and term_end_dte
                              then 'within'
                              else 'outside'
                         end
               end enrolled,
               case when status = 'DROP'
                    then case when enrol_dte < term_start_dte
                              then 'before start'
                              when enrol_dte < term_end_dte
                              then 'before end'
                              else 'after end'
                         end
               end dropped
          from dan_gr4
group by unit,term
order by unit,term
UNIT
TERM
LATE_ENROLMENT
WHEN_DROPPED
KIS
1
Late
after end
LIN
2
after end
LIN
4
Late
before end
POL
2
before end
POL
3
after end
POL
4
before end
PUI
3
after end
Regards
Etbin

Select max date from a table with multiple records

I need help writing an SQL to select max date from a table with multiple records.
Here's the scenario. There are multiple SA_IDs repeated with various EFFDT (dates). I want to retrieve the most recent effective date so that the SA_ID is unique. Looks simple, but I can't figure this out. Please help.
SA_ID CHAR_TYPE_CD EFFDT CHAR_VAL
0000651005 BASE 15-AUG-07 YES
0000651005 BASE 13-NOV-09 NO
0010973671 BASE 20-MAR-08 YES
0010973671 BASE 18-JUN-10 NO

Hi,
Welcome to the forum!
Whenever you have a question, post a little sample data in a form that people can use to re-create the problem and test their ideas.
For example:
CREATE TABLE     table_x
(     sa_id          NUMBER (10)
,     char_type     VARCHAR2 (10)
,     effdt          DATE
,     char_val     VARCHAR2 (10)
INSERT INTO table_x (sa_id, char_type, effdt,                          char_val)
     VALUES     (0000651005, 'BASE',    TO_DATE ('15-AUG-2007', 'DD-MON-YYYY'), 'YES');
INSERT INTO table_x (sa_id, char_type, effdt,                          char_val)
     VALUES     (0000651005, 'BASE',    TO_DATE ('13-NOV-2009', 'DD-MON-YYYY'), 'NO');
INSERT INTO table_x (sa_id, char_type, effdt,                          char_val)
     VALUES     (0010973671, 'BASE',    TO_DATE ('20-MAR-2008', 'DD-MON-YYYY'), 'YES');
INSERT INTO table_x (sa_id, char_type, effdt,                          char_val)
     VALUES     (0010973671, 'BASE',    TO_DATE ('18-JUN-2010', 'DD-MON-YYYY'), 'NO');
COMMIT;Also, post the results that you want from that data. I'm not certain, but I think you want these results:
`    SA_ID LAST_EFFD
    651005 13-NOV-09
10973671 18-JUN-10That is, the latest effdt for each distinct sa_id.
Here's how to get those results:
SELECT    sa_id
,         MAX (effdt)    AS last_effdt
FROM      table_x
GROUP BY sa_id
;

Get articles with max date only

Hello Everyone
I've got a little problem with a sql query. I got two tables and a lot of articles. The articles are listed multiple times and got different dates. I want to select the following rows:
p.productname
i.amount
i.date
The problem is, that every product only should be listed one time (something like UNIC or DISTINCT). And it should be the product with the highest date. Is there something like MAX(date) that I can use?
What I already have is...
SELECT
    p.productname,
    i.amount,
    i.date
FROM op_inventory i
LEFT JOIN products p
ON p.ItemID = i.fk_article
Now, how can I solve my problem above?...
Greets Dollique

Hmm, thx but, that didn't solve my problem.
I've just found a german website with a detailed explantion of the solution that mack gave me.
I used that one and it seems to work quite fine, expects from I somehow can't use GROUP BY. Every time I use it, it returns a Executing DB error (like before)...
I'll see if I can solve that problem...
Thx you anyway!
Toby
PS:
My code now is
SELECT
    i.id,
    i.amount,
    i.date,
    p.productname
FROM op_inventory i
LEFT JOIN products p
ON p.ItemID = i.fk_article

<cfoutput>#gi_where#</cfoutput>
i.date = (
    SELECT MAX(o.date)
    FROM op_inventory o
    WHERE o.fk_article = i.fk_article

And the content of #gi_where# is:
WHERE p.category = #lb_group# AND

Trying to get max date grouped by type

hello,
i have a request table with:
request name
request start date
The requests run daily so i have multiple records. In answers i want to display request name and the max(request start date), grouped by request name. Is it possible to due this in answers only? if i must use the repository how do i do it? I'm new to building subject areas.

You can do this in answers only, If you dont have access to RPD.
Sol1: Create a report with two columns request name,request start date. Open pivot table and add request start date to measures and apply Aggregation of Max on date.
sol2: Create a report with two columns request name,request start date, Change the Fx of request start date to max(request start date by request name) . This way table view also show request max date by request names.

File Count with selected date range

Hi,
Our requirement is to get the file count with selected date by the user from two sharepoint date time controls i.e. dtp1 and dtp2 into the data table. I am able to get the file count of specific folder from Pages library through below code. Now need to get
the selected date range from two date time picker controls and check with the item created by is within the date range. If yes I need to get the file count.
So please share your ideas/thoughts to do the same.
SPList list =
wikiweb.Lists["Pages"];
                    SPFolderCollection oFolders
= list.RootFolder.SubFolders["foldername"].SubFolders;
                    DataTable dt
= new DataTable();
                    dt.Columns.Add("Column1");
                    DataRow dr;
                    if (oFolders.Count
> 0)
                        foreach (SPFolder oFolder in oFolders)
if (!oFolder.Name.Equals("Forms"))
                                dr
= dt.NewRow();
dr["Column1"] = oFolder.ItemCount.ToString();
dt.Rows.Add(dr);
Regards,
Sudheer
Thanks & Regards, Sudheer

Hi,
I have modified the code as below
if((DateTime)(oFolder.Item.File.TimeCreated>dtFromDate.SelectedDate)&&(DateTime)(oFolder.Item.File.TimeCreated<dtToDate.SelectedDate))
But still it is throwing the error.
Please share your ideas on the same.
Regards,
Sudheer
Thanks & Regards, Sudheer

Count(*) with group by max(date)

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