Question On YTD Total Sales Query
Hello,
We use this query below to see YTD sales for each of our BP Customers:
SELECT T0.CardCode 'Acct #', T0.CardName Company, T0.Address
' Address', T0.City ' City', T0.State1 State, T0.ZipCode
'Billing Zip', T0.Phone1 Phone, T0.Balance ' Balance',
T1.SlpName 'Sales Rep',
T2.PymntGroup Terms, T3.GroupName 'Group', ((SELECT ISNULL(SUM(INV1.LINETOTAL),0)
FROM INV1 INNER JOIN OINV ON INV1.DocEntry = OINV.DocEntry
WHERE OINV.CardCode = T0.CardCode AND Year(INV1.DocDate) = Year(GetDate()))-(SELECT ISNULL(SUM(RIN1.LINETOTAL),0)
FROM RIN1 INNER JOIN ORIN ON RIN1.DocEntry = ORIN.DocEntry
WHERE ORIN.CardCode = T0.CardCode AND Year(RIN1.DocDate) = Year(GetDate()))) [YTD Sales]
FROM OCRD T0
LEFT JOIN OSLP T1 ON T1.SlpCode = T0.SlpCode
LEFT JOIN OCTG T2 ON T2.GroupNum = T0.GroupNum
LEFT JOIN OCRG T3 ON T3.GroupCode = T0.GroupCode
WHERE T0.CardType = 'C'
We use this query below to see daily Invoice and Credit Memo postings for a selected period:
SELECT 'INVOICE' as "Doc Type", T0.DOCNUM as "Doc Number", T0.CARDCODE as "Customer Code", T0.CARDNAME as "Customer Name", T0.DOCDATE as "Posting Date", T0.NUMATCARD as "Customer Ref #", T0.DocDueDate, T0.DocTotal
FROM [dbo].[OINV] T0 WHERE T0.DOCDATE BETWEEN '[%0]' And '[%1]'
UNION ALL
SELECT 'CREDIT MEMO', T0.DOCNUM,T0.CARDCODE, T0.CARDNAME, T0.DOCDATE, T0.NUMATCARD, T0.DocDueDate, -1*T0.DocTotal
FROM [dbo].[ORIN] T0 WHERE T0.DOCDATE BETWEEN '[%0]' And '[%1]'
My question is -- shouldn't the sum of the YTD column in the 1st Query be the same as the sum of the Doc Total column in the 2nd Query (given that all dates are selected in the 2nd Query)?
This doesn't appear to be the case and I was wondering why?
Thanks,
Mike
Mike,
The DocTotal may contain Freight and Handling expenses, While the first query only taken the SUM of the line total of the Items.
Thats why they may be different.
Suda
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How to Apply YTM and MTD filter to the Query Calculating "Total Sales" Amt
Hi,
I got the requirement to calculate "Total Sales" amount in following format,
1. Calculate Total Sales YTM per Country
2. Calculate Total Sales MTD per Country
I am done with Queries to get Country wise Total Sales amount but stuck at the point, how to apply YTM (Year to Month) and MTD (Month to Date) filter. Can anyone have idea about how to apply YTM and MTD filter to query??
Regards,
PriyankaHi,
I got the requirement to calculate "Total Sales" amount in following format,
1. Calculate Total Sales YTM per Country
2. Calculate Total Sales MTD per Country
I am done with Queries to get Country wise Total Sales amount but stuck at the point, how to apply YTM (Year to Month) and MTD (Month to Date) filter. Can anyone have idea about how to apply YTM and MTD filter to query??
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Regarding Customer Total Sales table
Hi All SAP Experts
I like to know which table will provide me total of each customers for year. an Actual sales for per customer. I know table VBAK with filed Net value. My question is that figure is right figure for each customer. I am looking for total sales. Report requirement is total sales it will not show line itemwise. Just total sales per customer.
Thank youWelcome to the forum. As a new member, I would like to inform you that there are certain rules and regulations applicable to this forum which you can find to your right screen where it has also been indicated that posting basic / repeated query is not allowed. Please search in this forum or Google it with the same text, so that you will find many threads discussed on the same topic. Take the inputs from there and update still if you are not able to resolve. Meanwhile, this thread would be locked.
G. Lakshmipathi -
Hi all,
I would like to customize the YTD & TOTAL inner calculations depending on the account type.
For example, if I want the TOTAL or YTD sales I want that BPC calculates it as a sum of the different periods (this is what I understand is standard calculation).
In the other side, if I want the Customer end of period TOTALS or YTD, I don't want BPC to accumulate from Jan to Dec (it should be great for my company results, but it's not the reality), I'd like to use a custom calculation that takes previous period data (for example Dec-08 if I am asking for the 2008 totals or DEC YTD).
Can I customize it by using a business rule or is it better to create a mdx logic? I have allready created a mdx Logic, but it takes a long time to calculate the data.
I'd apreciate if someone can help me on this issue or if someone has another possible solution.
Thanks in advance for all your help.I am not sure if I completely follow your question, but I have a suggestion. If you are using BPC 7M SP3 or higher, you may have more than 1 TIME HIERARCHY. So it would be possible to have a Calendar view and a seperate view based on a different set months to quarters, years etc.
If that doesn't solve your question, then I would look into building a custom MEASURE that would be executed on all sets of data for certain applications. There is a How To Guide that has example of building a custom Measure for reporting purposes on SDN.
Hope this helps. -
I've got a period to date report with following columns:
week1 tots, week2 tots, week3 tots, week4 tots, week5 tot, period-to-date tots, year-to-date tots
I have a SELECT statement which totals data for the entire year and separates current period totals
by grouping on the week_nbr . Any date between beginning of year and the end of the previous period will be week 0
The Select statement retursn 6 rows: 1 for each week in period and one with week_nbr = 0 which represents the totals from the beginning of year
to the end of the previous period.
the select statement returns the data correctly . I need help getting the YTD total for (weeks 1 - 5) + (totals for week 0) for each column.
This means that I will have a 7th record containing the YTD totals. ( I am not concerned with the PTD totals)
I tried sum by partition but complex decode statement gave me problems.
CREATE TABLE PERIOD_DATA
( "HOT_DOG_STAND_ID" NUMBER NOT NULL ENABLE,
"WEEK_DATE" DATE,
"NET_SALES2" NUMBER,
"BUNS24434" NUMBER,
"PICKELS_AW38" NUMBER,
"MUSTARD_TB56" NUMBER,
"CHICKENHEADS33" NUMBER,
"PIECES_SOLD34" NUMBER,
"SCRAPS35" NUMBER,
"PIECES_UNACCOUNTED" NUMBER
REM INSERTING into PERIOD_DATA
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('29-DEC-08','DD-MON-RR HH.MI.SSXFF AM'),14301.39,13951.26,3431.13,0,3680,2484,378,818);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('05-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),14651.37,14651.37,3249.55,0,3200,2419,505,276);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('12-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),14169.89,14169.89,2463.53,0,3136,2080,474,582);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('19-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),15864.46,15864.46,3245.49,0,3472,2764,475,233);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('26-JAN-09','DD-MON-RR HH.MI.SSXFF AM'),15961.2,15916.23,3395.51,0,3648,2838,392,418);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('02-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),19066.4,19066.4,4165.07,0,4336,3682,333,321);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('09-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18415.74,18415.74,4024.74,0,4032,3365,482,185);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('16-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18014,17849,3486.33,0,3840,3238,374,228);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('23-FEB-09','DD-MON-RR HH.MI.SSXFF AM'),18671.09,18626.12,3729.42,0,3888,2970,353,565);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('02-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),17636,17636,3815,0,3424,2840,490,94);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('09-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),17235.52,17145.58,3897.42,0,3504,2928,421,155);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('16-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),15989.27,15989.27,3372.95,0,3728,3051,369,308);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('23-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),19067.69,18960.41,4152.6,0,4048,3293,442,313);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('30-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),18717.99,18717.99,3923.69,0,4408,3219,593,596);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-APR-09','DD-MON-RR HH.MI.SSXFF AM'),17335.16,17335.16,3769.08,0,3928,2997,514,417);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-APR-09','DD-MON-RR HH.MI.SSXFF AM'),18967.39,18967.39,4157.76,0,4144,2991,527,626);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-APR-09','DD-MON-RR HH.MI.SSXFF AM'),23090.88,23090.88,4427.96,0,5544,4493,560,491);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-APR-09','DD-MON-RR HH.MI.SSXFF AM'),24197.98,24132.99,4248.66,0,6680,5190,606,884);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('04-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),20202.21,20137.22,3714.68,0,7052,6170,422,460);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('11-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18514.48,18514.48,3266.06,0,5508,4178,571,759);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('18-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18678.68,18678.68,3814.07,0,5824,4345,633,846);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('25-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),17937.18,17937.18,3051.52,0,4844,4986,529,-671);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('01-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17445.75,17445.75,3079.91,0,5028,4810,656,-438);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('08-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17327.88,17327.88,3263.29,0,6112,4674,672,766);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('15-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17241.72,16937.33,3328.27,0,5792,4490,567,735);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('22-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),16625.83,16625.83,3485.18,0,5408,4319,761,328);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('29-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17002.84,17002.84,3091.09,0,5664,4369,544,751);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16339.19,16274.2,3075.3,0,4784,3440,697,647);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17165.12,16885.14,3458.03,0,4320,3296,640,384);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17029.77,16899.79,3198.91,0,4448,3449,645,354);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16596.89,16596.89,3015.54,0,4624,3288,665,671);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('03-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),16468.58,16468.58,2981.35,0,2224,3495,564,-1835);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('10-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18625.48,18550.5,3524.44,0,4856,3482,578,796);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('17-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),24538.54,24323.55,5580.71,0,5260,3771,608,881);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('24-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18081.37,18081.37,3533.45,0,5980,3080,553,2347);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('31-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),17183.25,17183.25,3487.12,0,2544,3262,615,-1333);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('07-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),17688.41,17575.29,3424.17,0,4800,3480,591,729);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('14-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),18211.29,18211.29,3806.32,0,3968,3104,527,337);
Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('21-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),16809.21,16744.22,3014.61,0,4128,3124,710,294);
SELECT HOT_DOG_STAND_ID
, DECODE(TRUNC(week_date , 'iw') ,
to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0) AS week_nbr
, SUM(NET_SALES2) AS net_sales2
, SUM(BUNS24434 ) BUNS24434
, SUM(PICKELS_AW38) PICKELS_AW38
, SUM(MUSTARD_TB56) MUSTARD_TB56
, SUM(CHICKENHEADS33) CHICKENHEADS33
, SUM(PIECES_SOLD34) PIECES_SOLD34
, SUM(SCRAPS35) SCRAPS35
, SUM(PIECES_UNACCOUNTED) * - 1 PIECES_UNACCOUNTED
/*--== Head average net_sales / chickenusage*/
, CASE
WHEN NVL( SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND(SUM(net_sales2) / ( SUM(ChickenHeads33) / 8 ) , 2)
END AS Head_average
/*--=== Efficiency = (ChickenUsage - scrappedDiv8 - unaccountedDiv8) / ChickenUsage) * 100*/
, CASE
WHEN NVL(SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND((((SUM(ChickenHeads33) / 8 ) - ( SUM(scraps35) / 8 ) - (SUM(pieces_unaccounted) / 8 )) / (SUM(ChickenHeads33) / 8 )) * 100 , 2)
END AS efficiency
FROM period_data per
WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IY') AND TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IW') + 6 + 7 * 4
GROUP BY hot_dog_stand_id
, DECODE(TRUNC(week_date , 'iw') ,
to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 ,
0)
ORDER BY DECODE(TRUNC(week_date , 'iw') , to_date('24-AUG-09' , 'dd-mon-rr') , 1 , to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 , to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 , to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 , to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0);The expected results will be:
HOT_DOG_STAND_ID WEEK_NBR NET_SALES2 BUNS24434 PICKELS_AW38 MUSTARD_TB56 CHICKENHEADS33 PIECES_SOLD34 SCRAPS35 PIECES_UNACCOUNTED HEAD_AVERAGE EFFICIENCY
141 7 697067.09 694887.4 139149.91 0 175808 139454 21036 15318 31.72 79.32 You can get these dame results by running endpot-to-endpoint query:
SELECT HOT_DOG_STAND_ID
, max(7) as week_nbr
,sum(NET_SALES2) net_sales2
,sum(BUNS24434 ) BUNS24434
,sum(PICKELS_AW38) PICKELS_AW38
,sum(MUSTARD_TB56) MUSTARD_TB56
,sum(CHICKENHEADS33) CHICKENHEADS33
,sum(PIECES_SOLD34) PIECES_SOLD34
,sum(SCRAPS35) SCRAPS35
,sum(PIECES_UNACCOUNTED) PIECES_UNACCOUNTED
---===== Copied code from outer query
--== net_sales / chickenusage
, CASE
WHEN NVL( sum(ChickenHeads33) / 8 ,0) = 0 then 0
ELSE ROUND(sum(net_sales2)/ ( sum(ChickenHeads33) / 8 ) , 2)
END as Head_average
--=== Efficiency = (ChickenUsage - scrappedDiv8 - unaccountedDiv8) / ChickenUsage) * 100
, CASE
WHEN NVL(sum(ChickenHeads33) / 8 ,0) = 0 then 0
ELSE ROUND((((sum(ChickenHeads33) / 8 ) - ( sum(scraps35) / 8 ) - (sum(pieces_unaccounted) / 8 )) / (sum(ChickenHeads33) / 8 )) * 100, 2)
END as efficiency
from period_data
WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' ,'DD-MON-YY'), 'IY') AND TO_DATE( '27-sep-09' ,'DD-MON-YY')
group by hot_dog_stand_id;Thanks In AdvanceHi,
Welcome to the forum!
Thanks for posting the CREATE TABLE and INSERT statements; that's very helpful. You could teach something to some people who have been using this forum for years (except that nobody can teach them).
user12335325 wrote:
The expected results will be:
HOT_DOG_STAND_ID WEEK_NBR NET_SALES2 BUNS24434 PICKELS_AW38 MUSTARD_TB56 CHICKENHEADS33 PIECES_SOLD34 SCRAPS35 PIECES_UNACCOUNTED HEAD_AVERAGE EFFICIENCY
141 7 697067.09 694887.4 139149.91 0 175808 139454 21036 15318 31.72 79.32
Do you mean the expected results will include the row above, and that the results will be this row along with the 6 rows you're already getting? (If you wanted just that one row, I suppose you would just run your second query.)
That sound like a job for ROLLUP.
VARIABLE start_date VARCHAR2 (11);
EXEC :start_date := '24-AUG-2009';
SELECT HOT_DOG_STAND_ID
, NVL (CASE
WHEN week_date >= TO_DATE( :start_date, 'DD-MON-YYYY')
AND week_date < TO_DATE( :start_date, 'DD-MON-YYYY') + 35
THEN 1 + FLOOR ( (week_date - TO_DATE( :start_date, 'DD-MON-YYYY'))
/ 7
ELSE 0
END
, 7
) AS week_nbr
, SUM(NET_SALES2) AS net_sales2
, SUM(BUNS24434 ) BUNS24434
, SUM(PICKELS_AW38) PICKELS_AW38
, SUM(MUSTARD_TB56) MUSTARD_TB56
, SUM(CHICKENHEADS33) CHICKENHEADS33
, SUM(PIECES_SOLD34) PIECES_SOLD34
, SUM(SCRAPS35) SCRAPS35
, SUM(PIECES_UNACCOUNTED) * - 1 PIECES_UNACCOUNTED
/*--== Head average net_sales / chickenusage*/
, CASE
WHEN NVL( SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND(SUM(net_sales2) / ( SUM(ChickenHeads33) / 8 ) , 2)
END AS Head_average
/*--=== Efficiency = (ChickenUsage - scrappedDiv8 - unaccountedDiv8) / ChickenUsage) * 100*/
, CASE
WHEN NVL(SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
ELSE ROUND((((SUM(ChickenHeads33) / 8 ) - ( SUM(scraps35) / 8 ) - (SUM(pieces_unaccounted) / 8 )) / (SUM(ChickenHeads33) / 8 )) * 100 , 2)
END AS efficiency
FROM period_data per
WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IY') AND TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IW') + 6 + 7 * 4
GROUP BY hot_dog_stand_id
, ROLLUP (
CASE
WHEN week_date >= TO_DATE( :start_date, 'DD-MON-YYYY')
AND week_date < TO_DATE( :start_date, 'DD-MON-YYYY') + 35
THEN 1 + FLOOR ( (week_date - TO_DATE( :start_date, 'DD-MON-YYYY'))
/ 7
ELSE 0
END -- week_nbr
ORDER BY week_nbr
;Notice I simplified the computation of week_nbr.
Some other people have asked questions about hot dog stands recently.
I'm curious; is this from a course? If so, where? What is the textbook (if any)?
Thanks. -
How to get the max total sale by date on every store
I am trying to write a query in Oracle which will return both the store_id and the maximum total sale by date
Hi,
Whenever you have a question, please 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.
Explain, using specific examples, how you get those results from that data.
Always say what version of Oracle you're using (e.g. 11.2.0.2.0).
See the forum FAQ: https://forums.oracle.com/message/9362002#9362002
Hjava wrote:
I am trying to write a query in Oracle which will return both the store_id and the maximum total sale by date
Do you mean you want to see the store_id that had the maximum total sale?
In general, this can be done with a Top-N Query, using an analytic function such as RANK. For an example, see http://forums.oracle.com/forums/thread.jspa?messageID=3739610
If you only want the date, the maximum total from that date, and 1 column from the same row with the maximum (e.g. store_id), then you might be able to use the aggregate LAST function instead.
What results do you want in case of a tie? (That is, if 2 or mote store_ids have the same total sale on a given date, and no other store_id has a higher total.) -
Report on open sales order ,total sales
Hello Gurus
I am developing a report line item wise of sales order in which i need to get
Suppose a sales order is created on 01.12.2009 for 1000 quantity
billed quantity in december 600
billed quantity in january 200
1) total sales done against this SO line item wise.
2) sales in this month againt this SO
3)open order qty as 01.01.2010
4)last day sales i.e from 01.01.2010 to 20.01.2010 the date of last sales against this SO
so my output should be
total sales = 800
sales in this month =200
open order qty as on 01.01.2010= 400
please tell me the logic
regards
sphoorthi
Moderator message - Please do not post your requirements and ask the forum to do your work for you - post locked
Edited by: Rob Burbank on Jan 20, 2010 10:47 AMHi,
I gather from your thread that the question is not to build a report on a MP yes/no but more on which MP.
Depending on the reporting needs and on how well you are able to combine the 2 cubes in the new MP I would say go for the latter option so you have more control on this one MP (for example if you need to add something that is already available in cubes).
However, when (future!) reporting needs could mean that characteristics need to be added to the report(s) and filtered on that are not in both cubes you will have major problems getting the data properly from new MP and you would be better off using the individuals MP's and combine the data in a workbook or in a web template giving more flexibility.
So you need to really analyze the requirements and decide on the way forward. Keep in mind possible future requirements because for now it could seem these few fields could be enough but new requirements could directly give a problem.
Hope this helps
C. -
How to see customers total sales orders value
Dear all,
How can I create a query to see all customers total sales orders value.
I have tried MC+E transaction, it is not giving accurate values when compare for a customer with VA05N report.
moreover it doesn't have filter option.
Please help me to resolve the issue. Your suggestion will be highly appreciated.
Best regards,
Raghu ramHi,
Try S_ALR_87012171 and S_ALR_87012186. or
S_ALR_87012160, select customer lite items only, enter customer number.
Click on dynamic selection (Shift+F4). enter RV in document type field and press execute.
Regards,
Chandra -
Trying to find the difference between two sub-totals (sales - credits)
Hi Everyone,
I have the following code which essentially lists the total sales for an items on the first row, and the total credits for the same item on the second row.
SELECT T0.ItemCode, SUM(T0.LineTotal) as 'Total Sales'
FROM INV1 T0
WHERE T0.ItemCode = 'ACR2401010'
GROUP BY T0.ItemCode
UNION ALL
SELECT T1.ItemCode, SUM(T1.LineTotal) as 'Total Sales'
FROM RIN1 T1
WHERE T1.ItemCode = 'ACR2401010'
GROUP BY T1.ItemCode
The results of the query are shown below (with some alterations for confidentiality).
What I would like to do is write a code block that subtracts the total credits from the total sales, leaving me with only one row of data for the ItemCode.
If anybody can help with writing the code to achieve this it will be greatly appreciated.
Kind Regards,
DavoHi, Please take a look and tweak accordingly. You may pay attention to nulls and manipulate accordingly. Best of luck!
--Option 1
SELECT t2.ItemCode,( SUM(T2.TotalSales)-SUM(TotalCredits)) AS 'Total'
FROM
SELECT T0.ItemCode, SUM(T0.LineTotal) as 'TotalSales',SUM(0) as 'TotalCredits'
FROM INV1 as T0
WHERE T0.ItemCode = 'ACR2401010'
GROUP BY T0.ItemCode
UNION ALL
SELECT T1.ItemCode, SUM(0) as 'TotalSales', SUM(T1.LineTotal) as 'TotalCredits',
FROM RIN1 as T1
WHERE T1.ItemCode = 'ACR2401010'
GROUP BY T1.ItemCode
) AS t2
GROUP BY t2.ItemCode
--Option 2
SELECT t2.ItemCode, ( SUM(T2.TotalSales)-SUM(TotalCredits)) AS 'Total'
FROM
SELECT T0.ItemCode, SUM(T0.LineTotal) as 'TotalSales',SUM(0) as 'TotalCredits'
FROM INV1 as T0
--WHERE T0.ItemCode = 'ACR2401010'
GROUP BY T0.ItemCode
UNION ALL
SELECT T1.ItemCode, SUM(0) as 'TotalSales', SUM(T1.LineTotal) as 'TotalCredits',
FROM RIN1 as T1
--WHERE T1.ItemCode = 'ACR2401010'
GROUP BY T1.ItemCode
) AS t2
WHERE t2.ItemCode = 'ACR2401010'
GROUP BY t2.ItemCode
--Option 3
SELECT t2.ItemCode, ( SUM(T2.TotalSales)-SUM(TotalCredits) ) AS 'Total'
FROM
SELECT T0.ItemCode, T0.LineTotal as 'TotalSales', 0 as 'TotalCredits'
FROM INV1 as T0
UNION ALL
SELECT T1.ItemCode, 0 as 'TotalSales', T1.LineTotal as 'TotalCredits',
FROM RIN1 as T1
) AS t2
WHERE t2.ItemCode = 'ACR2401010'
GROUP BY t2.ItemCode
--Assuming credit part is optional..also assuming each table should return only one row else results would inflate...option 4
SELECT t0.ItemCode, ( SUM(T0.TotalSales)-SUM(T1.TotalSales)) AS 'Total'
FROM
INV1 as t0
left outer join
RIN1 as t1
ON t0.ItemCode = t1.ItemCode
WHERE t0.ItemCode = 'ACR2401010'
GROUP BY t0.ItemCode
--option 4 with grouping to ensure single row from each table
SELECT t0.ItemCode, ( isnull(T0.TotalSales,0)-isnull(T1.TotalSales,0)) AS 'Total'
FROM
SELECT T0.ItemCode, SUM(T0.LineTotal) as 'TotalSales'
FROM INV1 as T0
--WHERE T0.ItemCode = 'ACR2401010'
GROUP BY T0.ItemCode
)as t0
LEFT OUTER JOIN
( SELECT T1.ItemCode, SUM(T1.LineTotal) as 'TotalCredits',
FROM RIN1 as T1
--WHERE T1.ItemCode = 'ACR2401010'
GROUP BY T1.ItemCode
) as t1
ON t0.ItemCode = t1.ItemCode
WHERE t0.ItemCode = 'ACR2401010'
--Option 5 with grouping to ensure single row from each table.
--Also assuming that sales or credits can be optional
SELECT
ISNULL(t0.ItemCode,t0.ItemCode) AS ItemCode,
( isnull(T0.TotalSales,0)-isnull(T1.TotalSales,0)) AS 'Total'
FROM
SELECT T0.ItemCode, SUM(T0.LineTotal) as 'TotalSales'
FROM INV1 as T0
--WHERE T0.ItemCode = 'ACR2401010'
GROUP BY T0.ItemCode
)as t0
FULL OUTER JOIN
( SELECT T1.ItemCode, SUM(T1.LineTotal) as 'TotalCredits',
FROM RIN1 as T1
--WHERE T1.ItemCode = 'ACR2401010'
GROUP BY T1.ItemCode
) as t1
ON t0.ItemCode = t1.ItemCode
WHERE (t0.ItemCode = 'ACR2401010' OR t1.ItemCode = 'ACR2401010') -
Reg: Total sales of each month of customer
Dear All,
I have the below two tables
Customers (customer_id, custer_name,customer_address)
Sales (sales_id, sales_cust_id, sales_order_date, sales_amount)
I need to write the SQL query to display the total sales made by each customer, each month with grand total of all months of current year
can anyone help regarding this..
Sample
customer_id
customer_name
month
total_sales
12
aaa
Jan
15242
12
aaa
Feb
17889
(Total)
33131
13
bbb
Feb
1487
13
bbb
Jun
19987
(Total)
21474Hi,
You can use GROUP BY GROUPING SETS to get sub-totals in SQL:
SELECT sales_cust
, NVL ( TO_CHAR ( TRUNC (sales_order_date, 'MONTH')
, 'Month YYYY'
, ' All months'
) AS month
, SUM (sales_amount) AS total_sales
FROM t
GROUP BY GROUPING SETS ( (sales_cust, TRUNC (sales_order_date, 'MONTH'))
, (sales_cust)
ORDER BY sales_cust
, TRUNC (sales_order_date, 'MONTH')
Output from the sample data Ramin posted:
SALES_CUST MONTH TOTAL_SALES
12 May 2013 120
12 June 2013 15
12 July 2013 110
12 September 2013 750
12 All months 995
13 May 2013 70
13 July 2013 205
13 All months 275 -
Can a JOIN be used instead of a UNION to obtain the Total Sales from B1?
Hi Everyone,
I am in the midst of writing a report which shows the 'Total Sales', 'Gross Profit', and 'Gross Profit %' by Sales Person. Traditionally I have used a UNION between two result sets to achieve this task. However I am wondering it if is possible to achieve the same outcome with a JOIN as shown below?
SELECT
T0.SlpCode
, T0.SalesPerson
, T0.Branch
, (T0.TotalSales - T1.TotalSales) AS 'Total Sales'
, ((T0.TotalSales - T1.TotalSales) - (T0.StockValue + T1.StockValue)) AS 'Gross Profit'
, CAST(((T0.TotalSales - T1.TotalSales) - (T0.StockValue + T1.StockValue)) / NULLIF((T0.StockValue + T1.StockValue), 0) * 100 AS decimal(15,2)) AS 'Gross Profit %'
FROM
/*** SAP - Invoices by Sales Person ***/
SELECT
T1.SlpCode
, T2.SlpName AS 'SalesPerson'
, T2.U_INE_Branch AS 'Branch'
, CAST(SUM(T0.LineTotal) AS decimal(15,2)) AS 'TotalSales'
, CAST(SUM(T0.StockValue) AS decimal(15,2)) AS 'StockValue'
FROM AU.dbo.INV1 T0
INNER JOIN AU.dbo.OINV T1 ON T1.DocEntry = T0.DocEntry
LEFT JOIN AU.dbo.OSLP T2 ON T2.SlpCode = T1.SlpCode
WHERE T1.DocDate >= '2014-08-01' AND T1.DocDate <= '2014-09-01'
GROUP BY T1.SlpCode, T2.SlpName, T2.U_INE_Branch
) AS T0
FULL JOIN
/*** SAP - Credits by Sales Person ***/
SELECT
T1.SlpCode
, T2.SlpName AS 'SalesPerson'
, T2.U_INE_Branch AS 'Branch'
, ISNULL(CAST(SUM(T0.LineTotal) AS decimal(15,2)), 0) AS 'TotalSales'
, ISNULL(CAST(SUM(T0.StockValue) AS decimal(15,2)), 0) AS 'StockValue'
FROM AU.dbo.RIN1 T0
INNER JOIN AU.dbo.ORIN T1 ON T1.DocEntry = T0.DocEntry
LEFT JOIN AU.dbo.OSLP T2 ON T2.SlpCode = T1.SlpCode
WHERE T1.DocDate >= '2014-08-01' AND T1.DocDate <= '2014-09-01'
GROUP BY T1.SlpCode, T2.SlpName, T2.U_INE_Branch
) AS T1
ON T1.SalesPerson = T0.SalesPerson
Currently I am not getting correct results (which I can do through a UNION), but am instead seeing NULLs scattered throughout, as shown below...
(I have blacked out certain details to keep the company I work for anonymous)
My question is: are NULLs unavoidable in this scenario simply because of the nature of JOINs? I have tried a 'JOIN' rather than a 'FULL JOIN' but instead of seeing all of the Sales People I only see Sales People who do not have NULLs, which looks nice but is not particularly accurate.
Any help and suggestions here will be greatly appreciated.
Kind Regards,
DavidHi David,
You can try something like this:
to avoid null
Type in each field the keyword isnull, IsNull((T0.TotalSales - T1.TotalSales), 0) AS 'Total Sales'
or something like this
SELECT T0.[SlpCode], T0.[SlpName], (Select Sum(T1.doctotal) from oinv t1 where t1.docdate between '???' and '???' and T0.slpcode = t1.slpcode) - (Select Sum(T2.doctotal) from orin t2 where t2.docdate between '???' and '???' and T0.slpcode = t2.slpcode) as Sales FROM OSLP T0
Hope it helps
Kind regards,
Augusto -
LOA Approval notification should show Leave Occurance and YTD totals
LOA Approval notification should show Leave Occurance and YTD totals for manager and HR Specialist???
Hi this is very Urgent
ThanksHi,
Please post your question in [Human Resource Management (HRMS)|http://forums.oracle.com/forums/forum.jspa?forumID=113] forum, you would probably get a better/faster response.
Regards,
Hussein -
Hi,
How to calcuate % of Total Sales i.e <b>Sales / Total Sales</b> using calculated key figure.
I was trying to use %CT <operand> but in the formula editor of Calculator key figure I didn't find %CT function.. there is only % function.
Please help me how to get %CT function in formula editor or How to get the % of Total Sales.
Thanks in advance...Hi Samarth,
You can find this function if you create a formula locally in the query. Do not create this as a CKF (On the left hand side ) as this function is not available there.
Hope this helps... -
How to get Total Sale and Total Revenue?
Hi,
I have received requirement to calculate Total Sale and Total Revenue.
what is actual difference between total sales and Total revenue?
Is there any report or query in EBS R12 from which we can find total sale and total revenue?
Thanks,
Kapil
Edited by: Kapil Mistry on Aug 2, 2012 12:10 AM
Edited by: Kapil Mistry on Aug 2, 2012 12:11 AMHi,
Can I use Receipt details to get total revenue i.e actual income from customer ?
Please check the following query.
SELECT code_combination_id,
ra.applied_customer_trx_id,
trx_number,
SUM( NVL( line_applied, 0 )) line_receipt,
SUM( NVL( tax_applied, 0 )) tax_receipt,
SUM( NVL( freight_applied, 0 )) freight_receipt,
SUM( NVL( amount_applied, 0 )) total_receipt
FROM ar_receivable_applications_all ra,
ra_customer_trx_all trx,
ar_cash_receipts_all rcpt
WHERE
applied_customer_trx_id = trx.customer_trx_id
AND ra.cash_receipt_id = rcpt.cash_receipt_id
AND application_type = 'CASH'
AND NVL(ra.confirmed_flag, 'Y' ) = 'Y'
AND trx.complete_flag = 'Y'
AND trx.org_id = 204
AND trx.customer_trx_id = 51385
GROUP BY code_combination_id,ra.applied_customer_trx_id,trx_number
ORDER BY 3 -
How to get Total Sales and Total Revenue?
Hi,
I have received requirement to calculate Total Sales and Total Revenue.
what is actual difference between total sales and Total revenue?
Is there any report or query in EBS R12 from which we can find total sales and total revenu?
Thanks,
KapilHi,
Can I use Receipt details to get total revenue i.e actual income from customer ?
Please check the following query.
SELECT code_combination_id,
ra.applied_customer_trx_id,
trx_number,
SUM( NVL( line_applied, 0 )) line_receipt,
SUM( NVL( tax_applied, 0 )) tax_receipt,
SUM( NVL( freight_applied, 0 )) freight_receipt,
SUM( NVL( amount_applied, 0 )) total_receipt
FROM ar_receivable_applications_all ra,
ra_customer_trx_all trx,
ar_cash_receipts_all rcpt
WHERE
applied_customer_trx_id = trx.customer_trx_id
AND ra.cash_receipt_id = rcpt.cash_receipt_id
AND application_type = 'CASH'
AND NVL(ra.confirmed_flag, 'Y' ) = 'Y'
AND trx.complete_flag = 'Y'
AND trx.org_id = 204
AND trx.customer_trx_id = 51385
GROUP BY code_combination_id,ra.applied_customer_trx_id,trx_number
ORDER BY 3
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