I have two tables as follows--
ORDERS
create table orders (
ono number(5) not null primary key,
cno number(5) references customers,
eno number(4) references employees,
received date,
shipped date);
ODETAILS
create table odetails (
ono number(5) not null references orders,
pno number(5) not null references parts,
qty integer check(qty > 0),
primary key (ono,pno));
ODETAILS Table
Now I'm trying to figure out the highest and lowest selling product. Logically PNO 10601 which has the highest QTY of 4 is the highest selling product. the following query returns the highest selling product.
SELECT PNO FROM
(SELECT od.PNO, SUM(od.QTY) AS TOTAL_QTY
FROM ODETAILS od
GROUP BY od.PNO
ORDER BY SUM(od.QTY) DESC)
WHERE ROWNUM =1
--Thanks to Bob Jarvis
How do I add a DATE WHERE clause to the SQL above so that I can find out the highest selling product for a given month(lets say DECEMBER) ? The DATE that I'm referring to is from ORDERS table and RECEIVED attribute. I guess I need to join the tables first as well
SQL Fiddle
Oracle 11g R2 Schema Setup:
create table orders (
ono number(5) not null primary key,
cno number(5),
eno number(4),
received date,
shipped date
);
INSERT INTO orders
SELECT 1020, 1, 1, DATE '2015-12-21', NULL FROM DUAL UNION ALL
SELECT 1021, 1, 1, DATE '2015-12-20', DATE '2015-12-20' FROM DUAL UNION ALL
SELECT 1022, 1, 1, DATE '2015-12-18', DATE '2015-12-20' FROM DUAL UNION ALL
SELECT 1023, 1, 1, DATE '2015-12-21', NULL FROM DUAL UNION ALL
SELECT 1024, 1, 1, DATE '2015-12-20', DATE '2015-12-20' FROM DUAL;
create table odetails (
ono number(5) not null references orders(ono),
pno number(5) not null,
qty integer check(qty > 0),
primary key (ono,pno)
);
INSERT INTO odetails
SELECT 1020, 10506, 1 FROM DUAL UNION ALL
SELECT 1020, 10507, 1 FROM DUAL UNION ALL
SELECT 1020, 10508, 2 FROM DUAL UNION ALL
SELECT 1020, 10509, 3 FROM DUAL UNION ALL
SELECT 1021, 10601, 4 FROM DUAL UNION ALL
SELECT 1022, 10601, 1 FROM DUAL UNION ALL
SELECT 1022, 10701, 1 FROM DUAL UNION ALL
SELECT 1023, 10800, 1 FROM DUAL UNION ALL
SELECT 1024, 10900, 1 FROM DUAL;
Query 1 - The onoand pnos for the pno which has sold the maximum total quantity in December 2015:
SELECT ono,
pno,
TOTAL_QTY
FROM (
SELECT q.*,
RANK() OVER ( ORDER BY TOTAL_QTY DESC ) AS rnk
FROM (
SELECT od.ono,
od.PNO,
SUM( od.QTY ) OVER ( PARTITION BY od.PNO ) AS TOTAL_QTY
FROM ODETAILS od
INNER JOIN
orders o
ON ( o.ono = od.ono )
WHERE TRUNC( o.received, 'MM' ) = DATE '2015-12-01'
-- WHERE EXTRACT( MONTH FROM o.received ) = 12
) q
)
WHERE rnk = 1
Change the WHERE clause to get the results for any December rather than just December 2015.
Results:
| ONO | PNO | TOTAL_QTY |
|------|-------|-----------|
| 1021 | 10601 | 5 |
| 1022 | 10601 | 5 |
Query 2 - The ono and pnos for the items which have sold the maximum quantity in a single order in December 2015:
SELECT ono,
pno,
qty
FROM (
SELECT od.*,
RANK() OVER ( ORDER BY od.qty DESC ) AS qty_rank
FROM ODETAILS od
INNER JOIN
orders o
ON ( o.ono = od.ono )
WHERE TRUNC( o.received, 'MM' ) = DATE '2015-12-01'
-- WHERE EXTRACT( MONTH FROM o.received ) = 12
)
WHERE qty_rank = 1
Change the WHERE clause to get the results for any December rather than just December 2015.
Results:
| ONO | PNO | QTY |
|------|-------|-----|
| 1021 | 10601 | 4 |
... where received between to_date('12/01/2015','MM/DD/YYYY') and to_date('12/31/2015','MM/DD/YYYY')
I believe I have solved it!
SELECT PNO
FROM (SELECT OD.PNO, SUM(OD.QTY) AS TOTAL_QTY
FROM ODETAILS OD INNER JOIN ORDERS ON OD.ONO = ORDERS.ONO
WHERE EXTRACT(MONTH FROM ORDERS.RECEIVED) = &MONTH_NUMBER
GROUP BY OD.PNO
ORDER BY SUM(OD.QTY) DESC)
WHERE ROWNUM =1;
You can add some to_char calls to your query on the date columns to parse out year and month, or just month if you want all years divided by month (month and year seems more useful), then add that to your where clause. See my self-contained example:
with odetails as
(
select 1 as ono, 1 as pno, 4 as qty from dual
union all
select 1 as ono, 2 as pno, 1 as qty from dual
union all
select 1 as ono, 3 as pno, 2 as qty from dual
union all
select 1 as ono, 4 as pno, 1 as qty from dual
union all
select 2 as ono, 2 as pno, 1 as qty from dual
union all
select 2 as ono, 3 as pno, 2 as qty from dual
),
orders as
(
select 1 as ono, 1 as cno, 1 as eno, to_date('2015-10-12', 'YYYY-MM-DD') as received, to_date('2015-10-15', 'YYYY-MM-DD') as shipped from dual
union all
select 2 as ono, 1 as cno, 1 as eno, to_date('2015-11-12', 'YYYY-MM-DD') as received, to_date('2015-11-15', 'YYYY-MM-DD') as shipped from dual
)
select pno
from
(
select od.pno, Sum(od.qty) as total_qty, to_char(received, 'YYYY-MM') as year_month
from odetails od
join orders o
on o.ono = od.ono
group by od.pno, to_char(received, 'YYYY-MM')
order by Sum(od.qty) desc
)
where rownum = 1
and year_month = '2015-11'
;
This gives you PNO of 3, since it has the highest quantity in november of 2015.
Related
I need to group order together with crossing their date ranges only
scenario A.
order 1, 1.3.2020-30.6.2020
order 2, 1.5.2020-31.8.2020
order 3, 31.7.2020-31.10.2020
order 4, 31.7.2020-31.12.2020
so the output should be
order 1, order 2
order 2, order 3, order 4
order1,3,4 are not grouped because their ranges don't cross at all
scenario B.
same as above plus another order
order 5, 1.1.2020-31.12.2020
so output will be
order 1, order 2, order 5
order 2, order 3, order 4, order 5
I tried Self Join to check which start date falls in that range.
so in the range of order 1 falls only the start date of order 2 -> we have one group
then in the range of order 2 fall both start dates of order 3 and 4 -> we have second group
but then for order 3 falls start date of order 4 and opposite -> that will give another 2 groups but they are invalid because order 2 is crossing their date ranges as well and shoul be included as well and becuase there will be 3 douplicates we should display it just once as in the desired output but this approach will fail.
Thanks
the result of MATCH_RECOGNIZE solution is incorrent because order 5 should be in both groups
I use some analitycal functions to solve this:
-- create table
Create table cross_dates (order_id number, start_date date , end_date date);
-- insert dates
insert into cross_dates values( 1, to_date('01.03.2020', 'dd.mm.yyyy'), to_date('30.06.2020', 'dd.mm.yyyy'));
insert into cross_dates values( 2, to_date('01.05.2020', 'dd.mm.yyyy'), to_date( '31.08.2020', 'dd.mm.yyyy'));
insert into cross_dates values( 3, to_date('31.07.2020', 'dd.mm.yyyy'), to_date( '31.08.2020', 'dd.mm.yyyy'));
insert into cross_dates values( 4, to_date('31.07.2020', 'dd.mm.yyyy'), to_date( '31.10.2020', 'dd.mm.yyyy'));
insert into cross_dates values( 5, to_date('01.01.2020', 'dd.mm.yyyy'), to_date( '31.12.2020', 'dd.mm.yyyy'));
-- SQL
select 'Order '|| min_order_id ||': ', listagg( order_id, ',') within group (order by order_id) list
from (
select distinct min_order_id, order_id from (
with dates (cur_date, end_date, order_id, start_date) as (
select start_date, end_date, order_id, start_date
from cross_Dates
union all
select cur_date + 1, end_date, order_id,start_date
from dates
where cur_date < end_date )
select d.order_id,
min(d.order_id) over(partition by greatest(d.start_date, cd.start_date)) min_order_id
from dates d, cross_Dates cd
where d.cur_date between cd.start_date and cd.end_date ))
group by min_order_id
having count(*) > 1;
Result:
Order 1: 1,2,5
Order 2: 2,3,4,5
-- add new column and update old records
alter table cross_dates add (item varchar2(1));
update cross_dates set item = 'A';
-- insert new records B
insert into cross_dates values( 1, to_date('01.01.2020', 'dd.mm.yyyy'), to_date( '30.06.2020', 'dd.mm.yyyy'), 'B');
insert into cross_dates values( 1, to_date('01.07.2020', 'dd.mm.yyyy'), to_date( '31.12.2020', 'dd.mm.yyyy'), 'B');
My assumption:
A and B are separate orders, not going in same groups even when crossing
order 1 B - has two records as a continuations - in my understanding counts like one order : order 1 B 01.01.2020 - 21.12.2020
If my assumption are correct the SQL could look like this:
select distinct min_order_id, order_id, item from (
with dates (cur_date, end_date, order_id, start_date, item) as (
select start_date, end_date, order_id, start_date, item
from cross_Dates
union all
select cur_date + 1, end_date, order_id,start_date, item
from dates
where cur_date < end_date )
select d.order_id, d.item,
min(d.order_id) over(partition by greatest(d.start_date, cd.start_date),d.item) min_order_id
from dates d, cross_Dates cd
where d.cur_date between cd.start_date and cd.end_date and d.item = cd.item )
order by item, min_order_id;
Result:
MIN_ORDER_ID ORDER_ID I
1 1 A
1 2 A
1 5 A
2 2 A
2 3 A
2 4 A
2 5 A
5 5 A
1 1 B
If my assumption are not ok please provide me what result should look like i this case.
:)
You can use MATCH_RECOGNIZE to find groups where the next value's start date is before, or equal to, the end date of all the previous values in the group. Then you can aggregate and exclude groups that would be entirely contained in another group:
WITH groups ( id, ids, start_date, end_date ) AS (
SELECT id,
LISTAGG( grp_id, ',' ) WITHIN GROUP ( ORDER BY start_date ),
MIN( start_date ),
MIN( end_date )
FROM (
SELECT t.id,
x.id AS grp_id,
x.start_date,
x.end_date
FROM table_name t
INNER JOIN table_name x
ON (
x.start_date >= t.start_date
AND x.start_date <= t.end_date
)
)
MATCH_RECOGNIZE (
PARTITION BY id
ORDER BY start_date
MEASURES
MATCH_NUMBER() AS mno
ALL ROWS PER MATCH
PATTERN ( FIRST_ROW GROUPED_ROWS* )
DEFINE GROUPED_ROWS AS (
GROUPED_ROWS.start_date <= MIN( end_date )
)
)
WHERE mno = 1
GROUP BY id
)
SELECT id,
ids
FROM groups g
WHERE NOT EXISTS (
SELECT 1
FROM groups x
WHERE g.ID <> x.ID
AND x.start_date <= g.start_date
AND g.end_date <= x.end_date
)
Which for the sample data:
CREATE TABLE table_name ( id, start_date, end_date ) AS
SELECT 'order 1', DATE '2020-03-01', DATE '2020-06-30' FROM DUAL UNION ALL
SELECT 'order 2', DATE '2020-05-01', DATE '2020-08-31' FROM DUAL UNION ALL
SELECT 'order 3', DATE '2020-07-31', DATE '2020-10-31' FROM DUAL UNION ALL
SELECT 'order 4', DATE '2020-07-31', DATE '2020-12-31' FROM DUAL;
Outputs:
ID | IDS
:------ | :----------------------
order 2 | order 2,order 3,order 4
order 1 | order 1,order 2
I you then:
INSERT INTO table_name ( id, start_date, end_date )
VALUES ( 'order 5', DATE '2020-01-01', DATE '2020-12-31' );
The output would be:
ID | IDS
:------ | :----------------------
order 2 | order 2,order 3,order 4
order 5 | order 5,order 1,order 2
db<>fiddle here
I have two tables:
MainTable
id AccountNum status
1 11001 active
2 11002 active
3 11003 active
4 11004 active
AddTable
id date description
1 01.2020 ACCOUNT.SET
1 02.2020 ACCOUNT.CHANGE
1 03.2020 ACCOUNT.REMOVE
2 04.2020 ACCOUNT.SET
2 05.2020 ACCOUNT.CHANGE
3 08.2020 ACCOUNT.SET
4 05.2020 ACCOUNT.SET
4 09.2020 ACCOUNT.REMOVE
I need to get a such result:
EffectiveFrom is date when Account was set,
EffectiveTo is date when Account was removed
id AccountNum EffectiveFrom EffectiveTo
1 11001 01.2020 03.2020
2 11002 04.2020 null
3 11003 08.2020 null
4 11004 05.2020 09.2020
The problem is that after joining on AddTable I get the duplicates, but I need just one row on every Id and only dates where the description in ACCOUNT.SET,ACCOUNT.REMOVE.
Are you looking for left join?
select m.id as id,
m.AccountNum as AccountNum,
a.date as EffectiveFrom,
b.date as EffectiveTo
from MainTable m left join
AddTable a on (a.id = m.id and a.description = 'ACCOUNT.SET') left join
AddTable b on (b.id = m.id and b.description = 'ACCOUNT.REMOVE')
order by m.AccountNum
Use a PIVOT and a LEFT OUTER JOIN:
SELECT m.id,
a.EffectiveFrom,
a.EffectiveTo
FROM MainTable m
LEFT OUTER JOIN
(
SELECT *
FROM AddTable
PIVOT( MAX( dt ) FOR description IN (
'ACCOUNT.SET' AS EffectiveFrom,
'ACCOUNT.REMOVE' AS EffectiveTo
) )
) a
ON ( a.id = m.id )
ORDER BY m.id
So for your test data:
CREATE TABLE MainTable ( id, AccountNum, status ) AS
SELECT 1, 11001, 'active' FROM DUAL UNION ALL
SELECT 2, 11002, 'active' FROM DUAL UNION ALL
SELECT 3, 11003, 'active' FROM DUAL UNION ALL
SELECT 4, 11004, 'active' FROM DUAL;
CREATE TABLE AddTable ( id, dt, description ) AS
SELECT 1, DATE '2020-01-01', 'ACCOUNT.SET' FROM DUAL UNION ALL
SELECT 1, DATE '2020-01-02', 'ACCOUNT.CHANGE' FROM DUAL UNION ALL
SELECT 1, DATE '2020-01-03', 'ACCOUNT.REMOVE' FROM DUAL UNION ALL
SELECT 2, DATE '2020-01-04', 'ACCOUNT.SET' FROM DUAL UNION ALL
SELECT 2, DATE '2020-01-05', 'ACCOUNT.CHANGE' FROM DUAL UNION ALL
SELECT 3, DATE '2020-01-08', 'ACCOUNT.SET' FROM DUAL UNION ALL
SELECT 4, DATE '2020-01-05', 'ACCOUNT.SET' FROM DUAL UNION ALL
SELECT 4, DATE '2020-01-09', 'ACCOUNT.REMOVE' FROM DUAL;
This outputs:
ID | EFFECTIVEFROM | EFFECTIVETO
-: | :------------ | :----------
1 | 01-JAN-20 | 03-JAN-20
2 | 04-JAN-20 | null
3 | 08-JAN-20 | null
4 | 05-JAN-20 | 09-JAN-20
db<>fiddle here
i have below data.
table A
id
1
2
3
table B
id name data1 data2 datetime
1 cash 12345.00 12/12/2012 11:10:12
1 quantity 222.12 14/12/2012 11:10:12
1 date 20/12/2012 12/12/2012 11:10:12
1 date 19/12/2012 13/12/2012 11:10:12
1 date 13/12/2012 14/12/2012 11:10:12
1 quantity 330.10 17/12/2012 11:10:12
I want to retrieve data in one row like below:
tableA.id tableB.cash tableB.date tableB.quantity
1 12345.00 13/12/2012 330.10
I want to retrieve based on max(datetime).
The data model appears to be insane-- it makes no sense to join an ORDER_ID to a CUSTOMER_ID. It makes no sense to store dates in a VARCHAR2 column. It makes no sense to have no relationship between a CUSTOMER and an ORDER. It makes no sense to have two rows in the ORDER table with the same ORDER_ID. ORDER is also a reserved word so you cannot use that as a table name. My best guess is that you want something like
select *
from customer c
join (select order_id,
rank() over (partition by order_id
order by to_date( order_time, 'YYYYMMDD HH24:MI:SS' ) desc ) rnk
from order) o on (c.customer_id=o.order_id)
where o.rnk = 1
If that is not what you want, please (as I asked a few times in the comments) post the expected output.
These are the results I get with my query and your sample data (fixing the name of the ORDER table so that it is actually valid)
SQL> ed
Wrote file afiedt.buf
1 with orders as (
2 select 1 order_id, 'iphone' order_name, '20121201 12:20:23' order_time from dual union all
3 select 1, 'iphone', '20121201 12:22:23' from dual union all
4 select 2, 'nokia', '20110101 13:20:20' from dual ),
5 customer as (
6 select 1 customer_id, 'paul' customer_name from dual union all
7 select 2, 'stuart' from dual union all
8 select 3, 'mike' from dual
9 )
10 select *
11 from customer c
12 join (select order_id,
13 rank() over (partition by order_id
14 order by to_date( order_time, 'YYYYMMDD HH24:MI:SS' ) desc ) rnk
15 from orders) o on (c.customer_id=o.order_id)
16* where o.rnk = 1
SQL> /
CUSTOMER_ID CUSTOM ORDER_ID RNK
----------- ------ ---------- ----------
1 paul 1 1
2 stuart 2 1
Try something like
SELECT *
FROM CUSTOMER c
INNER JOIN ORDER o
ON (o.CUSTOMER_ID = c.CUSTOMER_ID)
WHERE TO_DATE(o.ORDER_TIME, 'YYYYMMDD HH24:MI:SS') =
(SELECT MAX(TO_DATE(o.ORDER_TIME, 'YYYYMMDD HH24:MI:SS')) FROM ORDER)
Share and enjoy.
Given this table:
CREATE TABLE positions
( "EMP_ID" CHAR(10 BYTE),
"GTYPE" NUMBER,
"AMT" NUMBER,
"START_DATE" DATE,
"STOP_DATE" DATE
)
and this data:
Insert Into positions (Emp_Id,Gtype,Amt,Start_Date,Stop_Date)
select 'XA0022',1,1000,'01-MAY-2010','08-MAY-2012' from dual union
Select 'XA0022',1,1000,'01-MAY-2010','31-DEC-2012' From Dual Union
Select 'XA0022',2,500,'03-APR-2012','15-JUL-2012' From Dual Union
Select 'XA0022',1,421,'01-MAY-2012','23-MAY-2012' From Dual Union
Select 'XA0022',1,1514,'09-MAY-2012','31-DEC-2012' From Dual union
select 'XA0022',1,600,'24-MAY-2012','24-MAY-2012' from dual;
How do I get to this:
from to type1 type2
01-May-2010 02-Apr-2012 2000 0
03-Apr-2012 30-Apr-2012 2000 500
01-May-2012 07-May-2012 2421 500
08-May-2012 08-May-2012 2421 500
09-May-2012 22-May-2012 2935 500
23-May-2012 23-May-2012 2935 500
24-May-2012 15-Jul-2012 3114 500
16-Jul-2012 31-Dec-2012 3014 0
Note: The amount is in effect on the start_date and is not in effect the day after the stop_date.
Any pointers gratefully received!
Use Oracle's pivot.
Oracle Pivot
select * from
(select emp_id, gtype, amt, start_date, stop_date
from positions)
pivot (sum(amt) as amt for (gtype) in (1 as "TYPE1", 2 as "TYPE2"))
order by emp_id, start_date;
With some more information (thanks), something like this?
select emp_id, gtype, start_date,
case when next_amt <> amt then next_start_date -1 end as to_date
from
(select emp_id, gtype, start_date, amt,
lead(start_date,1) over (order by emp_id, start_date) next_start_date,
lead(amt,1) over (order by emp_id, start_date) next_amt
from
positions)
I'm struggling with a subselect in oracle. I want to include the latest price from another table.
Here is my current attempt:
SELECT tab1.*
(select price from
old_prices
where part_no=tab1.article_no
order by valid_from desc) as old_price,
FROM articles tab1
order by article_no
The sub select returns several rows which I think is the problem. But I do not know how to limit the number of rows in Oracle.
SQL> create table articles (article_no,name)
2 as
3 select 1, 'PEN' from dual union all
4 select 2, 'PAPER' from dual
5 /
Table created.
SQL> create table old_prices (part_no,valid_from,price)
2 as
3 select 1, date '2008-01-01', 10 from dual union all
4 select 1, date '2009-01-01', 11 from dual union all
5 select 1, date '2010-01-01', 12 from dual union all
6 select 1, date '2011-01-01', 13 from dual union all
7 select 2, date '2010-01-01', 89.95 from dual union all
8 select 2, date '2011-01-01', 94.95 from dual union all
9 select 2, date '2012-01-01', 99.95 from dual
10 /
Table created.
SQL> select a.article_no
2 , max(a.name) keep (dense_rank last order by p.valid_from) name
3 , max(p.price) keep (dense_rank last order by p.valid_from) price
4 from articles a
5 , old_prices p
6 where a.article_no = p.part_no
7 group by a.article_no
8 /
ARTICLE_NO NAME PRICE
---------- ----- ----------
1 PEN 13
2 PAPER 99.95
2 rows selected.
Regards,
Rob.
If it's the latest price you're after:
SELECT tab1.*, p.price old_price
FROM articles tab1
, old_prices p
where p.part_no = tab1.article_no
and valid_from = (
select MAX(valid_from)
from old_prices p2
where p2.part_no = p.part_no
)
order by article_no
I want to include the lastest price
I presume you mean latest.
OK, well that's a bit of a problem to start with, there are several ways of doing this:
SELECT o.price
FROM old_prices o
WHERE o.part_no=&part_no
AND o.ondate=(SELECT MAX(o2.ondate)
FROM old_prices o2
WHERE o2.part_no=&part_no);
Seems the most obvious choice but its rather innefficient.
You could try....
SELECT ilv.price
FROM (SELECT o.price
FROM old_price o
WHERE o.part_no=&part_no
ORDER BY ondate DESC) ilv
WHERE rownum=1;
Or....
SELECT TO_NUMBER(
SUBSTR(
MAX(TO_CHAR(o.ondate, 'YYYYMMDDHH24MISS') || price)
, 15)
) as latest_price
FROM old_price o
WHERE o.part_no=&part_no;
To limit rows use ROWNUM < 10. This is a pseudocolumn returning the row number of each line of your resultset.
EDIT:
You need to add another subselect query (hope this is the right place for your need)
SELECT tab1.*
select (
(select price from old_prices
where part_no=tab1.article_no order by valid_from desc
) as x
where rownum = 1
) as old_price
FROM articles tab1
order by article_no
SELECT tab1.*
(select
price
from (
SELECT
part_no
, price
, row_number () over (partition by part_no order by valid_from desc ) rn
FROM
old_prices
) P
where rn =1
and tab1.article_no = P.part_no
) as old_price
FROM articles tab1
order by article_no
more efficient would be
SELECT
tab1.*
, P.price
FROM
articles tab1
, ( SELECT
part_no
, price
, row_number () over (partition by part_no order by valid_from desc ) rn
FROM
old_prices
) P
WHERE
P.part_no(+) = tab1.article_no
P.rn(+) = 1
;
with old_prices as(
select level * 15 price ,
mod (level ,5) part_no , --this is just to create a grouping type partno
(sysdate - level ) valid_from
from dual
connect by level < 100)
,
articles as(
select level ,
mod(level , 5 ) article_no ,
(sysdate + level) someOtherDateField
From dual
connect by level < 5
)
SELECT tab1.* ,
old_price.*
from articles tab1
left join
(
select price,
part_no ,
valid_from ,
rank() over(partition by part_no order by valid_from desc) rk
from old_prices
) old_price
on tab1.article_no = old_price.part_no
and old_price.rk = 1
order by article_no ;
Here's another way!
LEVEL ARTICLE_NO SOMEOTHERDATEFIELD PRICE PART_NO VALID_FROM RK
---------------------- ---------------------- ------------------------- ---------------------- ---------------------- ------------------------- ----------------------
1 1 25/05/11 07:30:54 15 1 23/05/11 07:30:54 1
2 2 26/05/11 07:30:54 30 2 22/05/11 07:30:54 1
3 3 27/05/11 07:30:54 45 3 21/05/11 07:30:54 1
4 4 28/05/11 07:30:54 60 4 20/05/11 07:30:54 1