Performance Issue With Qty Counts By Day

May 16, 2007

I have an issue with the performance of the below script. I was under the impression that 1 select query would be fast than a while loop, but right now, that isn't the case... I'm on sql 2005 sp2, but the query plan is mostly the same on sql 2000 sp4 as well.

I've tried as best as possible to reproduce my situation with the below script. The data is limited to 2000 rows in CustomerDates, but in our environment, there are over 2million rows of customer activity. I want to summarize the Quantity owned per day, even if there was no activity.

Even though the below script is a small subset of data, the query plan given for it is the same as when there is a full set of data. The biggest hog of the execution is the Hash Match (Aggregate) section, being somewhere around 2-6 cost for this small set of data. That number times 1000 makes for a pretty massive query cost.

Does anyone have some ideas of what could be done to speed up the last query (there are 2 copies of it - each one using a different index).



SQL Code:






Original
- SQL Code




CREATE TABLE Integers
(
i int PRIMARY KEY
)

insert into Integers
values (0)
insert into Integers
values (1)
insert into Integers
values (2)
insert into Integers
values (3)
insert into Integers
values (4)
insert into Integers
values (5)
insert into Integers
values (6)
insert into Integers
values (7)
insert into Integers
values (8)
insert into Integers
values (9)


SELECT DATEADD(DAY, dt.i, '12-1-2006') as dtDate
INTO Dates
FROM
(
SELECT ones.i + tens.i * 10 + hundreds.i * 100 as i
FROM integers ones
CROSS JOIN integers tens
CROSS JOIN integers hundreds
) dt
WHERE dt.i < 150--limit the data to extend only into April 2007

CREATE UNIQUE CLUSTERED INDEX cnxDates ON Dates(dtDate)


SELECT CustomerID,
CASE WHEN CustomerID > 100 THEN ProductID ELSE 1 END as ProductID, --override productId of 1 to be 2 for some customers
CASE WHEN CustomerID > 100 OR ProductID = 1 THEN 10 ELSE -10 END as Qty,
CAST(CASE WHEN CustomerID > 100 OR ProductID = 1 THEN '1-1-2007' ELSE '3/1/2007' END AS datetime) as ActivityDate
into CustomerDates
from
(--make some customerIDs
select 1 + ones.i + tens.i * 10 + hundreds.i * 100 as CustomerID
from integers ones
cross join integers tens
cross join integers hundreds
) c
cross join
(
select i as ProductID
from integers dbl--double the records
where i IN (1, 2)
) p

CREATE UNIQUE CLUSTERED INDEX cnxUnique ON CustomerDates(CustomerID, ActivityDate, ProductID)

--make a copy of the table w/ a different style of index
SELECT * INTO alt_CustomerDates FROM CustomerDates
CREATE UNIQUE CLUSTERED INDEX cnxUnique ON alt_CustomerDates(ActivityDate, CustomerID, ProductID)



SELECT c.CustomerID, d.dtDate, SUM(c.Qty) AS quantity, c.ProductID
FROM Dates d
INNER JOIN CustomerDates c
ON c.ActivityDate <= d.dtDate
GROUP BY c.CustomerID, c.ProductID, d.dtDate
HAVING SUM(c.Qty) > 0

SELECT c.CustomerID, d.dtDate, SUM(c.Qty) AS quantity, c.ProductID
FROM Dates d
INNER JOIN alt_CustomerDates c
ON c.ActivityDate <= d.dtDate
GROUP BY c.CustomerID, c.ProductID, d.dtDate
HAVING SUM(c.Qty) > 0






CREATE TABLE Integers(    i int PRIMARY KEY)    INSERT INTO Integers   VALUES (0)   INSERT INTO Integers   VALUES (1)   INSERT INTO Integers   VALUES (2)   INSERT INTO Integers   VALUES (3)   INSERT INTO Integers   VALUES (4)   INSERT INTO Integers   VALUES (5)   INSERT INTO Integers   VALUES (6)   INSERT INTO Integers   VALUES (7)   INSERT INTO Integers   VALUES (8)   INSERT INTO Integers   VALUES (9)  SELECT DATEADD(DAY, dt.i, '12-1-2006') AS dtDateINTO DatesFROM   (   SELECT ones.i + tens.i * 10 + hundreds.i * 100 AS i   FROM integers ones      CROSS JOIN integers tens      CROSS JOIN integers hundreds   ) dtWHERE dt.i < 150--limit the data to extend only into April 2007 CREATE UNIQUE CLUSTERED INDEX cnxDates ON Dates(dtDate)  SELECT CustomerID,        CASE WHEN CustomerID > 100 THEN ProductID ELSE 1 END AS ProductID, --override productId of 1 to be 2 for some customers       CASE WHEN CustomerID > 100 OR ProductID = 1 THEN 10 ELSE -10 END AS Qty,       CAST(CASE WHEN CustomerID > 100 OR ProductID = 1 THEN '1-1-2007' ELSE '3/1/2007' END AS datetime) AS ActivityDateINTO CustomerDatesFROM   (--make some customerIDs   SELECT 1 + ones.i + tens.i * 10 + hundreds.i * 100 AS CustomerID   FROM integers ones      CROSS JOIN integers tens      CROSS JOIN integers hundreds   ) c   CROSS JOIN    (   SELECT i AS ProductID   FROM integers dbl--double the records   WHERE i IN (1, 2)   ) p CREATE UNIQUE CLUSTERED INDEX cnxUnique ON CustomerDates(CustomerID, ActivityDate, ProductID) --make a copy of the table w/ a different style of indexSELECT * INTO alt_CustomerDates FROM CustomerDatesCREATE UNIQUE CLUSTERED INDEX cnxUnique ON alt_CustomerDates(ActivityDate, CustomerID, ProductID)   SELECT c.CustomerID, d.dtDate, SUM(c.Qty) AS quantity, c.ProductIDFROM Dates d   INNER JOIN CustomerDates c      ON c.ActivityDate <= d.dtDateGROUP BY c.CustomerID, c.ProductID, d.dtDateHAVING SUM(c.Qty) > 0 SELECT c.CustomerID, d.dtDate, SUM(c.Qty) AS quantity, c.ProductIDFROM Dates d   INNER JOIN alt_CustomerDates c      ON c.ActivityDate <= d.dtDateGROUP BY c.CustomerID, c.ProductID, d.dtDateHAVING SUM(c.Qty) > 0

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Hi,

...giving a very 'summarized' scenario of the problem I have trying to
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I also tried this but it says 'missing operator on the second line' doesn't like the when in case maybe?

SELECT
COUNT(CASE WHEN PercentComplete=100 THEN 1 ELSE NULL END) as Completed,
COUNT(CASE WHEN PercentComplete<>100 THEN 1 ELSE NULL END) as Active,
COUNT(CASE WHEN PercentComplete<>100 And [DueDate]<Date() And [DueDate]>Date()-7 And DueDate<Date() And DueDate>Date()-7 THEN 1 ELSE NULL END) as Overdue,
COUNT(CASE WHEN tblOutlookTask.PercentComplete<>100 And [DueDate]<Date() And [DueDate]>Date()-14 And tblOutlookTask.DueDate<Date() And tblOutlookTask.DueDate>Date()-14 THEN 1 ELSE NULL END) as Offtrack
FROM tblOutlookTask;

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Hello all, first post and really new to sub subs too! If any has time, I'm trying to retrieve data like this:
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BENT HEAD 26 (% OF 26 TO 92)
OTHER 24 (% OF 24 TO 92)
etc...

I'm using the SQL below but can't seem to work out the percentage calculation. (The below only returns 0's). Thanks for any help up front!!!

SELECT Reason, COUNT(Reason) AS Countee, COUNT(Reason) /
(SELECT COUNT(ReasonCode)FROM rb_power.RBCOBBLETRK)AS Perc
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Thanks!

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Hello,
I am working on my first DTS package in about 2 years. I am using MS SQL Server 2000.

I have 10 tables and will be importing those tables from 10 text files each night. The files will be imported to tables with temp_ as a prefix. What I need to do is then compare the row counts of the imported (temp_) tables to the ones that are there from the previous import (tables without the temp_ prefix). If the row count between each of the tables is greater than a 10% variance +/- then I need to abort the import and send an email to the client. If the variance is less than 10% for all 10 tables then I need to conitinue with the rest of the DTS which will drop all the tables from the previous import and then rename all the imported tables to remove the temp_ prefix so that they become the new "production" tables. I have it setup to import to the temp_ tables and that is working just fine. I have it setup to drop and rename the tables... what I need help with is how I would go about doing the row count comparison. Can in be done directly in DTS, do I need to do it in a stored procedure called by the DTS? If someone can just get me pointed in the right direction with this it would be great!

Thanks,
Jake

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