Need a query for grouping
Hi,
I have some data and need to group it based on date. please see the below data
pkey--------from_date----------to_date------------amount-------------
1 ---------8-aug-12 ----------31-aug-12---------120
1 ---------31-aug-12 --------1-sep-12--------- 130
1 ---------1-sep-12 ----------2-sep-12--------- 150
1 ---------3-sep-12 ----------4-sep-12--------- 150
1 ---------5-sep-12 ----------7-sep-12--------- 100
1 ---------7-sep-12 ----------8-sep-12--------- 200
1 ---------8-sep-12 ----------20-sep-12---------120
1 ---------20-sep-12 --------1-oct-12--------- 130
1 ---------1-oct-12 ----------8-oct-12--------- 150
and so on.....
I need to group the data when a month finished.. e.g row 1 from_date is 08-aug-12 row 6 to_date is 08-sep-12 means almost 1 month finished so it should group and show the sum of amount with min(from_date) and max(to_Date) and total amount monhtly basis.
I am trying to make a query since many hours but no success.. the data is huge with many keys and dates ... please share your idea/tips/feedback.
Thanks
Edited by: hard_stone on Jan 18, 2013 11:38 AM
Try this
with t
as
select 1 pkey, to_date('08-aug-12', 'dd-mon-rr') from_date, to_date('31-aug-12', 'dd-mon-rr') to_date, 120 amount from dual
union all
select 2 pkey, to_date('31-aug-12', 'dd-mon-rr') from_date, to_date('01-sep-12', 'dd-mon-rr') to_date, 130 amount from dual
union all
select 3 pkey, to_date('01-sep-12', 'dd-mon-rr') from_date, to_date('02-sep-12', 'dd-mon-rr') to_date, 150 amount from dual
union all
select 4 pkey, to_date('03-sep-12', 'dd-mon-rr') from_date, to_date('04-sep-12', 'dd-mon-rr') to_date, 150 amount from dual
union all
select 5 pkey, to_date('05-sep-12', 'dd-mon-rr') from_date, to_date('07-sep-12', 'dd-mon-rr') to_date, 100 amount from dual
union all
select 6 pkey, to_date('07-sep-12', 'dd-mon-rr') from_date, to_date('08-sep-12', 'dd-mon-rr') to_date, 200 amount from dual
union all
select 7 pkey, to_date('08-sep-12', 'dd-mon-rr') from_date, to_date('20-sep-12', 'dd-mon-rr') to_date, 120 amount from dual
union all
select 8 pkey, to_date('20-sep-12', 'dd-mon-rr') from_date, to_date('01-oct-12', 'dd-mon-rr') to_date, 130 amount from dual
union all
select 9 pkey, to_date('01-oct-12', 'dd-mon-rr') from_date, to_date('08-oct-12', 'dd-mon-rr') to_date, 150 amount from dual
select min(from_date) from_date, max(to_date) to_date, sum(amount) amount
from (
select pkey, from_date, to_date, amount, next_month
from t
model
dimension by (pkey)
measures (from_date, to_date, amount, to_date('19000101', 'yyyymmdd') next_month, add_months(from_date, 1) temp_month)
rules upsert
next_month[any] = case when next_month[cv(pkey)-1] >= to_date[cv(pkey)] then next_month[cv(pkey)-1]
else temp_month[cv(pkey)] end
group by next_month;
FROM_DATE TO_DATE AMOUNT
08-AUG-12 08-SEP-12 850
08-SEP-12 08-OCT-12 400
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| 4 | NESTED LOOPS | | 1 | 1 | 10M|00:27:56.05 | 849M| 17084 | | | |
| 5 | NESTED LOOPS | | 1 | 8 | 18M|00:14:10.93 | 246M| 17084 | | | |
| 6 | NESTED LOOPS | | 1 | 22 | 18M|00:11:58.96 | 189M| 17084 | | | |
| 7 | NESTED LOOPS | | 1 | 22 | 18M|00:10:24.69 | 152M| 17084 | | | |
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|* 20 | TABLE ACCESS BY GLOBAL INDEX ROWID| WH_BOOKS_D | 18M| 1 | 18M|00:02:53.01 | 56M| 10 | | | |
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|* 23 | INDEX RANGE SCAN | TSSB_N5 | 18M| 2 | 23M|00:01:11.50 | 18M| 1 | | | |
|* 24 | TABLE ACCESS BY INDEX ROWID | WH_CURRENCIES_D | 18M| 1 | 18M|00:01:51.21 | 37M| 0 | | | |
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| 26 | TABLE ACCESS BY INDEX ROWID | WH_GL_DAILY_RATES_F | 18M| 1 | 18M|00:01:55.84 | 56M| 0 | | | |
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| 28 | INLIST ITERATOR | | 18M| | 10M|00:22:40.03 | 603M| 0 | | | |
|* 29 | TABLE ACCESS BY INDEX ROWID | WH_ACCOUNTS_D | 150M| 1 | 10M|00:20:19.05 | 603M| 0 | | | |
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| 31 | TABLE ACCESS BY INDEX ROWID | T_SDM_GLACCOUNT | 10M| 1 | 10M|00:00:50.64 | 21M| 1 | | | |
|* 32 | INDEX UNIQUE SCAN | TSG_PK | 10M| 1 | 10M|00:00:26.17 | 10M| 0 | | | |
|* 33 | TABLE ACCESS BY INDEX ROWID | WH_COMMON_TRADES_D | 10M| 1 | 8362K|00:18:52.56 | 33M| 59618 | | | |
|* 34 | INDEX UNIQUE SCAN | WCTD_PK | 10M| 1 | 10M|00:03:06.56 | 21M| 5391 | | | |
Edited by: user535789 on Mar 17, 2011 9:45 PM
Edited by: user535789 on Mar 20, 2011 8:33 PMuser535789 wrote:
Hi All Experts,
My SQL is taking so much time to execute. If I remove the group by clause it is running within a minute but as soon as I am putting sum() and group by clause it is taking ages to run the sql. Number of records are wihout group by clause is almost 85 Lachs (*8 Million*). Is hugh dataset is killing this? Is there any way to tune the data on Group by clause. Below is my Select hints and execution plan. Please help.I doubt that your 8 million records are shown within minutes.
I guess that the output started after a few minutes. But this does not mean that the full resultset is there. It just means the database is able to return to you the first few records after a few minutes.
Once you add a group by (or an order by) then this requires that all the rows need to be fetched before the database can start showing them to you.
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21112 SUCFTA 15
Here no of EmpCode and ProductCode are not fixed.
And i need the output like this
ProductCode 20006 21475 20409 21112
IMPLSA 5 2 11
2
LACJDT 10 7 13 0
LIVLSU 15 4 9 18
PEPPSU 11 8 0 20
SAFMTA 12 0 7 22
SUCFTA 17 12 5 15
I know that it may be solved by dynamic pivot. but i never write any dynamic pivot query.
So Please Help me.DECLARE @EmpList varchar(max),@SQL varchar(max)
SELECT @EmpList = STUFF((SELECT DISTINCT ',[' + CAST(EmpCode AS varchar(15)) + ']'
FROM Table1
ORDER BY ',[' + CAST(EmpCode AS varchar(15)) + ']'
FOR XML PATH('')),1,1,'')
SET @SQL='SELECT ProductCode,' + @EmpList +
' FROM table1 t
PIVOT(SUM(Quantity) FOR EmpCode IN (' + @EmpList + '))p'
EXEC (@SQL)
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Need SQl Query for Revenue Code and Revenue Amount in Receivables
Hi,
I need a SQL Query to develop data set for the following columns:
Revenue Code,Revenue Code Description,Invoice Amount,Revenue Amount,Original Invoice Number,Original Invoice Date.
Can i get from ra_cust_trx_line_gl_dist_all and ra_customer_trx_all and ra_customer_trx_lines_all by joining them.But for the columns whcih to take
i am in dilemma.
Kindly any help will be needful for meHi,
I need a SQL Query to develop data set for the following columns:
Revenue Code,Revenue Code Description,Invoice Amount,Revenue Amount,Original Invoice Number,Original Invoice Date.
Can i get from ra_cust_trx_line_gl_dist_all and ra_customer_trx_all and ra_customer_trx_lines_all by joining them.But for the columns whcih to take
i am in dilemma.
Kindly any help will be needful for me -
Querying for group/distribution list
Hello,
Currently we are trying to query the distribution or groups list from the GWWS, but the only thing we get is a huge list of users, which are from all groups.
We are using this filter:
Code:
<getItemsRequest>
<container>GroupWiseSystemAddressBook@52</container>
<view>default members</view>
<filter>
<elements>
<op>and</op>
<element>
<op>eq</op>
<field>@type</field>
<value>Group</value>
</element>
<element>
<op>eq</op>
<field>name</field>
<value>Developers</value>
</element>
</elements>
</filter>
</getItemsRequest>
Is there someone who can provide us with the right filter ?
Thanks in advance,
Eamon Woortman
Developer at Maintainet AGThanks for your response.
We got it working using this filter:
Code:
<getItemsRequest>
<container>GroupWiseSystemAddressBook@52</container>
<view>default members</view>
<filter>
<elements>
<op>and</op>
<element type="FilterEntry">
<op>eq</op>
<field>@type</field>
<value>Group</value>
</element>
<element type="FilterEntry">
<op>eq</op>
<field>username</field>
<value>Developers</value>
</element>
</elements>
</filter>
</getItemsRequest>
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