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Home/ Questions/Q 7654555
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Editorial Team
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Editorial Team
Asked: May 31, 20262026-05-31T12:17:10+00:00 2026-05-31T12:17:10+00:00

I need to update a row of alarms with Linq to SQL, which can

  • 0

I need to update a row of alarms with Linq to SQL, which can contain over 100000 rows.

Which means that a simple update such as:

foreach (var alarm in Alarms)
{
    alarm.Alarm_Ack_UTC = DateTime.UtcNow;
}

SubmitChanges();

gives me a SQL query of

SELECT [t0].[Alarm_ID], [t0].[Alarm_Application_Number], [t0].[Alarm_Ack_UTC], [t0].[Alarm_DateTime_UTC], [t0].[Alarm_Message_Number], [t0].[Username], [t0].[Runtime_Message], [t0].[Alarm_Application_Name], [t0].[Alarm_Application_Computer], [t0].[Alarm_GUID], [t0].[Alarm_Comments]
FROM [Alarms] AS [t0]
GO

-- Region Parameters
DECLARE @p0 Int = 1
DECLARE @p1 DateTime = '2012-03-16 11:56:25.850'
-- EndRegion
UPDATE [Alarms]
SET [Alarm_Ack_UTC] = @p1
WHERE [Alarm_ID] = @p0
GO

-- Region Parameters
DECLARE @p0 Int = 2
DECLARE @p1 DateTime = '2012-03-16 11:56:25.851'
-- EndRegion
UPDATE [Alarms]
SET [Alarm_Ack_UTC] = @p1
WHERE [Alarm_ID] = @p0
GO

-- Region Parameters
DECLARE @p0 Int = 3
DECLARE @p1 DateTime = '2012-03-16 11:56:25.851'
-- EndRegion
UPDATE [Alarms]
SET [Alarm_Ack_UTC] = @p1
WHERE [Alarm_ID] = @p0
GO

Repeated 100000 times, which is really slow, inefficient and unoptimized.
The real query is more advanced, and update more data, uses a .Where(a => a.Time != null) and other things.

But just to improve the query above, which could be replaced with the very efficient SQL query:

UPDATE [Alarms]
SET Alarm_Ack_UTC = GETUTCDATE()
GO

How can one achieve this with Linq to SQL? Or is it impossible?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-31T12:17:11+00:00Added an answer on May 31, 2026 at 12:17 pm

    You can’t do this with LINQ to SQL (or any other O/RM). They will always fetch an object from the database that you want to change and have a single update statement for that entity. If you change 10,000 entities, you will have at least 10,000 update statements.

    If this is too slow, switch to a stored procedure or manual SQL statement in that case.

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