I have the below stored procedure and would like to only have one SQL statement. At the moment you can see there are two statements, one for the actual paging and one for a count of the total records which needs to be return to my app for paging.
However, the below is inefficient as I am getting the total rows from the first query:
COUNT(*) OVER(PARTITION BY 1) as TotalRows
How can I set TotalRows as my output parameter?
ALTER PROCEDURE [dbo].[Nop_LoadAllOptimized]
(
#PageSize int = null,
#PageNumber int = null,
#WarehouseCombinationID int = null,
#CategoryId int = null,
#OrderBy int = null,
#TotalRecords int = null OUTPUT
)
AS
BEGIN
WITH Paging AS (
SELECT rn = (ROW_NUMBER() OVER (
ORDER BY
CASE WHEN #OrderBy = 0 AND #CategoryID IS NOT NULL AND #CategoryID > 0
THEN pcm.DisplayOrder END ASC,
CASE WHEN #OrderBy = 0
THEN p.[Name] END ASC,
CASE WHEN #OrderBy = 5
THEN p.[Name] END ASC,
CASE WHEN #OrderBy = 10
THEN wpv.Price END ASC,
CASE WHEN #OrderBy = 15
THEN wpv.Price END DESC,
CASE WHEN #OrderBy = 20
THEN wpv.Price END DESC,
CASE WHEN #OrderBy = 25
THEN wpv.UnitPrice END ASC
)),COUNT(*) OVER(PARTITION BY 1) as TotalRows, p.*, pcm.DisplayOrder, wpv.Price, wpv.UnitPrice FROM Nop_Product p
INNER JOIN Nop_Product_Category_Mapping pcm ON p.ProductID=pcm.ProductID
INNER JOIN Nop_ProductVariant pv ON p.ProductID = pv.ProductID
INNER JOIN Nop_ProductVariant_Warehouse_Mapping wpv ON pv.ProductVariantID = wpv.ProductVariantID
WHERE pcm.CategoryID = #CategoryId
AND (wpv.Published = 1 AND pv.Published = 1 AND p.Published = 1 AND p.Deleted = 0 AND pv.Deleted = 0 and wpv.Deleted = 0)
AND wpv.WarehouseID IN (select WarehouseID from Nop_WarehouseCombination where UserWarehouseCombinationID = #WarehouseCombinationID)
)
SELECT TOP (#PageSize) * FROM Paging PG
WHERE PG.rn > (#PageNumber * #PageSize) - #PageSize
SELECT #TotalRecords = COUNT(p.ProductId) FROM Nop_Product p
INNER JOIN Nop_Product_Category_Mapping pcm ON p.ProductID=pcm.ProductID
INNER JOIN Nop_ProductVariant pv ON p.ProductID = pv.ProductID
INNER JOIN Nop_ProductVariant_Warehouse_Mapping wpv ON pv.ProductVariantID = wpv.ProductVariantID
WHERE pcm.CategoryID = #CategoryId
AND (wpv.Published = 1 AND pv.Published = 1 AND p.Published = 1 AND p.Deleted = 0 AND pv.Deleted = 0 and wpv.Deleted = 0)
AND wpv.WarehouseID IN (select WarehouseID from Nop_WarehouseCombination where UserWarehouseCombinationID = #WarehouseCombinationID)
END
I think I understand your issue here. Have you considered that the Count could be done BEFORE the CTE
and then passed in as value to the CTE as a variable.
i.e, set the value for #TotalRecords up front, pass it in, and so the CTE will use this count rather than executing the count a second time?
Does this make sense, or have I missed your point here.
no problem friend, highly possible i missed a trick here. However without the schema and data its tricky to test what I am suggesting. In the absence of someone giving a better answer, I've put this test script with data together to demo what I am talking about. If this isn't what you want then no problem. If it is just plain missing the point again, then I'll take that on the chin.
Declare #pagesize as int
Declare #PageNumber as int
Declare #TotalRowsOutputParm as int
SET #pagesize = 3
SET #PageNumber = 2;
--create some test data
DECLARE #SomeData table
(
[ID] [int] IDENTITY(1,1) NOT NULL,
[SomeValue] [nchar](10) NULL
)
INSERT INTO #SomeData VALUES ('TEST1')
INSERT INTO #SomeData VALUES ('TEST2')
INSERT INTO #SomeData VALUES ('TEST3')
INSERT INTO #SomeData VALUES ('TEST4')
INSERT INTO #SomeData VALUES ('TEST5')
INSERT INTO #SomeData VALUES ('TEST6')
INSERT INTO #SomeData VALUES ('TEST7')
INSERT INTO #SomeData VALUES ('TEST8')
INSERT INTO #SomeData VALUES ('TEST9')
INSERT INTO #SomeData VALUES ('TEST10');
--Get total count of all rows
Set #TotalRowsOutputParm = (SELECT COUNT(SomeValue) FROM #SomeData p) ;
WITH Paging AS
(
SELECT rn = (ROW_NUMBER() OVER (ORDER BY SomeValue ASC)),
#TotalRowsOutputParm as TotalRows, p.*
FROM [SomeData] p
)
SELECT TOP (#PageSize) * FROM Paging PG
WHERE PG.rn > (#PageNumber * #PageSize) - #PageSize
PRINT #TotalRowsOutputParm
I don't think you can do it without running the query twice if you want to assign it to a variable
however, can't you just add another column and do something like this instead?
;WITH Paging AS (select *,ROW_NUMBER() OVER(ORDER BY name) AS rn FROM sysobjects)
SELECT (SELECT MAX(rn) FROM Paging) AS TotalRecords,* FROM Paging
WHERE rn < 10
Or in your case
SELECT TOP (#PageSize) *,(SELECT MAX(PG.rn) FROM Paging) AS TotalRecords
FROM Paging PG
WHERE PG.rn > (#PageNumber * #PageSize) - #PageSize
Then from the front end grab that column
In the end I decided just to use two different SQL statements, one for count, one for select.
The "COUNT(*) OVER(PARTITION BY 1) as TotalRows" actually was pretty expensive and it turned out much quicker to just use two different statements.
Thank you everyone who helped with this question.
Related
Sample data:
create table #temp (id int, qty int, checkvalue int)
insert into #temp values (1,1,3)
insert into #temp values (2,2,3)
insert into #temp values (3,1,3)
insert into #temp values (4,1,3)
According to data above, I would like to show exact number of lines from top to bottom where sum(qty) = checkvalue. Note that checkvalue is same for all the records all the time. Regarding the sample data above, the desired output is:
Id Qty checkValue
1 1 3
2 2 3
Because 1+2=3 and no more data is needed to show. If checkvalue was 4, we would show the third record: Id:3 Qty:1 checkValue:4 as well.
This is the code I am handling this problem. The code is working very well.
declare #checkValue int = (select top 1 checkvalue from #temp);
declare #counter int = 0, #sumValue int = 0;
while #sumValue < #checkValue
begin
set #counter = #counter + 1;
set #sumValue = #sumValue + (
select t.qty from
(
SELECT * FROM (
SELECT
ROW_NUMBER() OVER (ORDER BY id ASC) AS rownumber,
id,qty,checkvalue
FROM #temp
) AS foo
WHERE rownumber = #counter
) t
)
end
declare #sql nvarchar(255) = 'select top '+cast(#counter as varchar(5))+' * from #temp'
EXECUTE sp_executesql #sql, N'#counter int', #counter = #counter;
However, I am not sure if this is the best way to deal with it and wonder if there is a better approach. There are many professionals here and I'd like to hear from them about what they think about my approach and how we can improve it. Any advice would be appreciated!
Try this:
select id, qty, checkvalue from (
select t1.*,
sum(t1.qty) over (partition by t2.id) [sum]
from #temp [t1] join #temp [t2] on t1.id <= t2.id
) a where checkvalue = [sum]
Smart self-join is all you need :)
For SQL Server 2012, and onwards, you can easily achieve this using ROWS BETWEEN in your OVER clause and the use of a CTE:
WITH Running AS(
SELECT *,
SUM(qty) OVER (ORDER BY id
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningQty
FROM #temp t)
SELECT id, qty, checkvalue
FROM Running
WHERE RunningQty <= checkvalue;
One basic improvement is to try & reduce the no. of iterations. You're incrementing by 1, but if you repurpose the logic behind binary searching, you'd get something close to this:
DECLARE #RoughAverage int = 1 -- Some arbitrary value. The closer it is to the real average, the faster things should be.
DECLARE #CheckValue int = (SELECT TOP 1 checkvalue FROM #temp)
DECLARE #Sum int = 0
WHILE 1 = 1 -- Refer to BREAK below.
BEGIN
SELECT TOP (#RoughAverage) #Sum = SUM(qty) OVER(ORDER BY id)
FROM #temp
ORDER BY id
IF #Sum = #CheckValue
BREAK -- Indicating you reached your objective.
ELSE
SET #RoughAverage = #CheckValue - #Sum -- Most likely incomplete like this.
END
For SQL 2008 you can use recursive cte. Top 1 with ties limits result with first combination. Remove it to see all combinations
with cte as (
select
*, rn = row_number() over (order by id)
from
#temp
)
, rcte as (
select
i = id, id, qty, sumV = qty, checkvalue, rn
from
cte
union all
select
a.id, b.id, b.qty, a.sumV + b.qty, a.checkvalue, b.rn
from
rcte a
join cte b on a.rn + 1 = b.rn
where
a.sumV < b.checkvalue
)
select
top 1 with ties id, qty, checkvalue
from (
select
*, needed = max(case when sumV = checkvalue then 1 else 0 end) over (partition by i)
from
rcte
) t
where
needed = 1
order by dense_rank() over (order by i)
Today I'm found a very sticky problem on SQL Server 2014.
Scenario: I want to pay awards to my customer (some pin code for cell phone operator)
In last cycle of loop T.Used = 0 condition is bypassed and is not working. I know in other conditions in that query (T.Cash < (#myAwards - #paid)) is there a mistake and I must to use T.Cash <= (#myAwards - #paid) instead of this but please focus on main question.
Why it's happened when I update Used flag to 1 (True) then in next loop it's selected while it doesn't have a valid condition (T.Used = 0)?
DECLARE #myAwards INT = 90000,
#paid INT = 0;
DECLARE #Temp TABLE
(
Id INT NOT NULL,
Pin VARCHAR(100) NOT NULL,
Cash INT NOT NULL,
[Weight] INT NULL,
Used BIT NOT NULL
)
INSERT INTO #Temp
SELECT
UPFI.Id, UPFI.PinCode,
PT.Cash, NULL, 0
FROM
dbo.UploadedPinFactorItem UPFI WITH (NOLOCK)
INNER JOIN
dbo.PinType PT WITH (NOLOCK) ON PT.ID = UPFI.PinTypeID
WHERE
PT.Cash <= #myAwards
UPDATE T
SET [Weight] = ISNULL((SELECT COUNT(TT.Id)
FROM #Temp TT
WHERE TT.Cash = T.Cash), 0) * T.Cash
FROM #Temp T
--For debug (first picture)
SELECT * FROM #Temp
DECLARE #i int = 1
DECLARE #count int = 0
SELECT #count = COUNT([Id]) FROM #Temp C WHERE C.Used = 0
WHILE (#i <= #count AND #paid < #myAwards)
BEGIN
DECLARE #nextId INT,
#nextCash INT,
#nextFlag BIT;
-- 'T.Used = 0' condition is by passed
SELECT TOP (1)
#nextId = T.Id, #nextCash = T.Cash, #nextFlag = T.Used
FROM
#Temp T
WHERE
T.Used = 0
AND T.Cash < (#myAwards - #paid)
ORDER BY
T.[Weight] DESC, T.Cash DESC, T.Id DESC
UPDATE #Temp
SET Used = 1
WHERE Id = #nextId
SET #i = #i + 1
SET #paid = #paid + #nextCash
--Show result in second picture
SELECT
#i AS 'i', #paid AS 'paid', #nextFlag AS 'flag', #nextId AS 'marked Id',*
FROM
#temp T
ORDER BY
T.[Weight] DESC, T.Cash DESC, T.Id DESC
END
SELECT 'final', #paid, *
FROM #temp T
ORDER BY T.[Weight] DESC, T.Cash DESC, T.Id DESC
Please let me to understand this is a bug or I have misunderstanding
First screenshot:
Second screenshot (result of loop):
Third screenshot (final result):
As per my comments:
This isn't a problem with the condition, the problem is with the implemented logic. After i = 4, there are no more rows where T.Used = 0 AND T.Cash < (#myAwards - #paid), that makes it so your reassigning variables gets zero rows, so they mantain the previous values.
You can test this behavior by doing:
DECLARE #A INT = 10;
SELECT #A = object_id
FROM sys.all_objects
WHERE name = 'an object that doesn''t exist'
SELECT #A;
I've been tasked with writing an application that will allow the user to search a table of prices, where prices are unique on 3 different keys, say state, publisher, and type (there may be any number of rows with the same key value for any of the 3 fields, but there is only one row with state='Ohio', publisher='Bob', and type='silicon'). When a user selects the state and publisher, they are presented a list of all of the types with that state and publisher. I run a stored procedure to pull these items, and I am pulling the most recent price, but I also need to pull the second most recent price and do math to get the change in price to display to the user. currently, I created the following function, but it slows down my stored procedure by anywhere from 1 to 40 seconds, depending on the mood of the server when executed.
BEGIN
-- Declare the return variable here
DECLARE #priceChange float
DECLARE #currentPriceDate date
DECLARE #currentPrice float
DECLARE #previousPrice float
-- Add the T-SQL statements to compute the return value here
SELECT TOP 1 #currentPriceDate=PriceDate ,#CurrentPrice=MarketPrice
FROM MarketPrice_Table
LEFT JOIN PriceEffectiveDate_Table ON MarketPrice_Table.PriceDate = PriceEffectiveDate_Table.EffectiveDate
AND MarketPrice_Table.PublisherID = PriceEffectiveDate_Table.PublisherID
WHERE TypeID = #TypeID
AND MarketPrice_Table.PublisherID = #PublisherID
AND MarketPrice_Table.StateID = #StateID
ORDER BY PriceDate DESC;
SET #previousPrice = (SELECT TOP 1 MarketPrice
FROM MarketPrice_Table
LEFT JOIN PriceEffectiveDate_Table ON MarketPrice_Table.PriceDate = PriceEffectiveDate_Table.EffectiveDate
AND MarketPrice_Table.PublisherID = PriceEffectiveDate_Table.PublisherID
WHERE TypeID = #TypeID
AND MarketPrice_Table.PublisherID = #PublisherID
AND MarketPrice_Table.StateID = #StateID
AND MarketPrice_Table.PriceDate <> #currentPriceDate
ORDER BY PriceDate DESC);
SET #priceChange = #currentPrice - #previousPrice;
-- Return the result of the function
RETURN #priceChange
END
Is there a more efficient way to do this so I am not making two queries per row in the stored procedure?
Thank you in advance for any help, and let me know if I can clarify anything further!
Try using the LEAD analytically function and use it return the data in a table. I apologize if this not exact but with some modification i'm sure it will give you what you're looking for.
Try:
DECLARE #priceChange float
DECLARE #currentPriceDate date
DECLARE #currentPrice float
DECLARE #previousPrice FLOAT
SELECT
*
FROM
(
SELECT
ROW_NUMBER() OVER (PARTITION BY MarketPrice_Table.StateID, MarketPrice_Table.PublisherID, TypeID ORDER BY PriceDate DESC) AS RowNum,
MarketPrice_Table.StateID,
MarketPrice_Table.PublisherID,
TypeID,
PriceDate,
MarketPrice AS CurrentPrice,
LEAD(MarketPrice) OVER (PARTITION BY MarketPrice_Table.StateID, MarketPrice_Table.PublisherID, TypeID ORDER BY PriceDate DESC) AS PreviousPrice,
MarketPrice - ISNULL(LEAD(MarketPrice) OVER (PARTITION BY MarketPrice_Table.StateID, MarketPrice_Table.PublisherID, TypeID ORDER BY PriceDate DESC), 0) AS PriceChange
FROM
MarketPrice_Table
LEFT JOIN PriceEffectiveDate_Table
ON MarketPrice_Table.PriceDate = PriceEffectiveDate_Table.EffectiveDate
AND MarketPrice_Table.PublisherID = PriceEffectiveDate_Table.PublisherID
WHERE
TypeID = #TypeID AND
MarketPrice_Table.PublisherID = #PublisherID AND
MarketPrice_Table.StateID = #StateID
) r
WHERE
r.RowNum = 1
Try this please:
BEGIN
-- Declare the return variable here
DECLARE #priceChange float
DECLARE #currentPriceDate varchar(8)
DECLARE #currentPrice float
DECLARE #previousPrice float
-- Add the T-SQL statements to compute the return value here
SELECT TOP 1 #currentPriceDate=Convert(varchar,PriceDate,112) ,#CurrentPrice=MarketPrice
FROM MarketPrice_Table
LEFT JOIN PriceEffectiveDate_Table ON Convert(varchar,MarketPrice_Table.PriceDate,112) = Convert(varchar,PriceEffectiveDate_Table.EffectiveDate,112)
AND MarketPrice_Table.PublisherID = PriceEffectiveDate_Table.PublisherID
WHERE TypeID = #TypeID
AND MarketPrice_Table.PublisherID = #PublisherID
AND MarketPrice_Table.StateID = #StateID
ORDER BY PriceDate DESC;
SET #previousPrice = (SELECT TOP 1 MarketPrice
FROM MarketPrice_Table
LEFT JOIN PriceEffectiveDate_Table ON Convert(varchar,MarketPrice_Table.PriceDate,112) = Convert(varchar,PriceEffectiveDate_Table.EffectiveDate)
AND MarketPrice_Table.PublisherID = PriceEffectiveDate_Table.PublisherID
WHERE TypeID = #TypeID
AND MarketPrice_Table.PublisherID = #PublisherID
AND MarketPrice_Table.StateID = #StateID
AND Convert(varchar,MarketPrice_Table.PriceDate,112) <> #currentPriceDate
ORDER BY PriceDate DESC);
SET #priceChange = #currentPrice - #previousPrice;
-- Return the result of the function
RETURN #priceChange
END
I have written this query to get data for special keyword:
ALTER procedure [dbo].[GetAllSpecialPaperTags]
#PKeyword nvarchar(200)
as
begin
select
Papers.PID, Papers.PTitle, Papers.PaperSummary
from
PaperKeywords
left join
PaperTags on PaperKeywords.PKeyID = PaperTags.PKeyID
left join
Papers on PaperTags.PID = Papers.PID
where
PaperKeywords.PKeyword = #PKeyword
end
I want use this article for custom paging : Custom Paging using SQL Server Stored Procedure
I wrote this query but I'm getting an error:
create procedure [dbo].[GetAllSpecialPaperTags]
#PageIndex INT = 1
,#PageSize INT = 10
,#RecordCount INT OUTPUT
,#PKeyword nvarchar(200)
as
BEGIN
SET NOCOUNT ON;
SELECT ROW_NUMBER() OVER
(
ORDER BY [Papers.PID] ASC
)AS RowNumber
,Papers.PID , Papers.PTitle , Papers.PaperSummary
INTO #Results
from PaperKeywords
left join PaperTags on PaperKeywords.PKeyID = PaperTags.PKeyID
left join Papers on PaperTags.PID = Papers.PID where PaperKeywords.PKeyword = #PKeyword
SELECT #RecordCount = COUNT(*)
FROM #Results
SELECT * FROM #Results
WHERE RowNumber BETWEEN(#PageIndex -1) * #PageSize + 1 AND(((#PageIndex -1) * #PageSize + 1) + #PageSize) - 1
DROP TABLE #Results
end
Error:
Msg 207, Level 16, State 1, Procedure GetAllSpecialPaperTags, Line 11
Invalid column name 'Papers.PID'.
Why?
This is your order by expression:
ORDER BY [Papers.PID] ASC
It is looking for a column named in its entirety "Papers.PID". It is not looking for the PID column in Papers. Just drop the braces:
ORDER BY Papers.PID ASC
I have a table with some duplicate entries. I have to discard all but one, and then update this latest one. I've tried with a temporary table and a while statement, in this way:
CREATE TABLE #tmp_ImportedData_GenericData
(
Id int identity(1,1),
tmpCode varchar(255) NULL,
tmpAlpha3Code varchar(50) NULL,
tmpRelatedYear int NOT NULL,
tmpPreviousValue varchar(255) NULL,
tmpGrowthRate varchar(255) NULL
)
INSERT INTO #tmp_ImportedData_GenericData
SELECT
MCS_ImportedData_GenericData.Code,
MCS_ImportedData_GenericData.Alpha3Code,
MCS_ImportedData_GenericData.RelatedYear,
MCS_ImportedData_GenericData.PreviousValue,
MCS_ImportedData_GenericData.GrowthRate
FROM MCS_ImportedData_GenericData
INNER JOIN
(
SELECT CODE, ALPHA3CODE, RELATEDYEAR, COUNT(*) AS NUMROWS
FROM MCS_ImportedData_GenericData AS M
GROUP BY M.CODE, M.ALPHA3CODE, M.RELATEDYEAR
HAVING count(*) > 1
) AS M2 ON MCS_ImportedData_GenericData.CODE = M2.CODE
AND MCS_ImportedData_GenericData.ALPHA3CODE = M2.ALPHA3CODE
AND MCS_ImportedData_GenericData.RELATEDYEAR = M2.RELATEDYEAR
WHERE
(MCS_ImportedData_GenericData.PreviousValue <> 'INDEFINITO')
-- SELECT * from #tmp_ImportedData_GenericData
-- DROP TABLE #tmp_ImportedData_GenericData
DECLARE #counter int
DECLARE #rowsCount int
SET #counter = 1
SELECT #rowsCount = count(*) from #tmp_ImportedData_GenericData
-- PRINT #rowsCount
WHILE #counter < #rowsCount
BEGIN
SELECT
#Code = tmpCode,
#Alpha3Code = tmpAlpha3Code,
#RelatedYear = tmpRelatedYear,
#OldValue = tmpPreviousValue,
#GrowthRate = tmpGrowthRate
FROM
#tmp_ImportedData_GenericData
WHERE
Id = #counter
DELETE FROM MCS_ImportedData_GenericData
WHERE
Code = #Code
AND Alpha3Code = #Alpha3Code
AND RelatedYear = #RelatedYear
AND PreviousValue <> 'INDEFINITO' OR PreviousValue IS NULL
UPDATE
MCS_ImportedData_GenericData
SET
PreviousValue = #OldValue, GrowthRate = #GrowthRate
WHERE
Code = #Code
AND Alpha3Code = #Alpha3Code
AND RelatedYear = #RelatedYear
AND MCS_ImportedData_GenericData.PreviousValue ='INDEFINITO'
SET #counter = #counter + 1
END
but it takes too long time, even if there are just 20000 - 30000 rows to process.
Does anyone has some suggestions in order to improve performance?
Thanks in advance!
WITH q AS (
SELECT m.*, ROW_NUMBER() OVER (PARTITION BY CODE, ALPHA3CODE, RELATEDYEAR ORDER BY CASE WHEN PreviousValue = 'INDEFINITO' THEN 1 ELSE 0 END)
FROM MCS_ImportedData_GenericData m
WHERE PreviousValue <> 'INDEFINITO'
)
DELETE
FROM q
WHERE rn > 1
Quassnoi's answer uses SQL Server 2005+ syntax, so I thought I'd put in my tuppence worth using something more generic...
First, to delete all the duplicates, but not the "original", you need a way of differentiating the duplicate records from each other. (The ROW_NUMBER() part of Quassnoi's answer)
It would appear that in your case the source data has no identity column (you create one in the temp table). If that is the case, there are two choices that come to my mind:
1. Add the identity column to the data, then remove the duplicates
2. Create a "de-duped" set of data, delete everything from the original, and insert the de-deduped data back into the original
Option 1 could be something like...
(With the newly created ID field)
DELETE
[data]
FROM
MCS_ImportedData_GenericData AS [data]
WHERE
id > (
SELECT
MIN(id)
FROM
MCS_ImportedData_GenericData
WHERE
CODE = [data].CODE
AND ALPHA3CODE = [data].ALPHA3CODE
AND RELATEDYEAR = [data].RELATEDYEAR
)
OR...
DELETE
[data]
FROM
MCS_ImportedData_GenericData AS [data]
INNER JOIN
(
SELECT
MIN(id) AS [id],
CODE,
ALPHA3CODE,
RELATEDYEAR
FROM
MCS_ImportedData_GenericData
GROUP BY
CODE,
ALPHA3CODE,
RELATEDYEAR
)
AS [original]
ON [original].CODE = [data].CODE
AND [original].ALPHA3CODE = [data].ALPHA3CODE
AND [original].RELATEDYEAR = [data].RELATEDYEAR
AND [original].id <> [data].id
I don't understand used syntax perfectly enough to post an exact answer, but here's an approach.
Identify rows you want to preserve (eg. select value, ... from .. where ...)
Do the update logic while identifying (eg. select value + 1 ... from ... where ...)
Do insert select to a new table.
Drop the original, rename new to original, recreate all grants/synonyms/triggers/indexes/FKs/... (or truncate the original and insert select from the new)
Obviously this has a prety big overhead, but if you want to update/clear millions of rows, it will be the fastest way.