Min/max Of X Minutes

Mar 27, 2006

I am trying to develop a sql statement that will create a recordset of the min (or max) values in x minute increments over a period of time.

e.g. over a period of 7 days, I have data that was collected in 1 minute intervals. I need to know the min (or max) value in each 10 minute interval over that same period of time.

Is there an efficient way of doing this?

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T-SQL (SS2K8) :: Display Row As 2 Days Ago / 1 Hours 34 Minutes Ago / 11 Minutes Ago

Apr 21, 2015

My table as data as follow,

IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[table_Data]') AND type in (N'U'))
DROP TABLE [dbo].[table_Data]
GO
/****** Object: Table [dbo].[table_Data] Script Date: 04/21/2015 22:07:49 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[table_Data]') AND type in (N'U'))

[code].....

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Hi,

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Any thoughts much appreciated! Here's my code:
USE msdb


--This is the part that goes in the job step
--and increments the next_run_time if the condition is true.

If
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BEGIN
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:shocked: hi,

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[Code] ....

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Code:
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[Code] ....

Without any indexes (other than PK's) this query would take 1min 21 secs to return all 8500 records.

I wasn't satisfied with that so I added indexes to the tables.

Indexes are;

inbound_emails:

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1. campaign_id (non-unique, non-clustered)
2. email_from (non-unique, non-clustered)
3. email_to (non-unique, non-clustered)

campaign_header:

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customers:
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contracts:
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Nov 6, 2006

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Feb 9, 2007

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sample date
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2/28/06 11:06 2/28/06 11:39
2/2/06 17:42 2/2/06 18:03
2/8/06 16:55 2/8/06 17:38
1/27/06 17:00 1/27/06 17:54
1/26/06 12:08 1/26/06 12:09
2/28/06 15:46 2/28/06 16:26
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Apr 29, 2008

please need help
i need to create view_circuit like this
for evry row add 15 minutes with condition by station field



Table before
start time@=14:30
ORDER BY 6,9,15
point_collection employee station seated
-----------------------------------------------------------------------------------
start time@=14:30 aaaa 6 station-6
xxxx 9 station-9
nnnnn 9 station-9
cccc 15 station-15
dddd 15 station-15
yyyy 15 station-15
...............................
.........................

Table After
point_collection employee station seated
-----------------------------------------------------------------------------------
14:30 aaaa 6 station-6
14:35 xxxx 9 station-9
14:35 nnnnn 9 station-9
14:40 cccc 15 station-9
14:40 dddd 15 station-9
14:40 yyyy 15 station-9
..................
...................
........
tnx for the help

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# of Toppings
# of Special Pricing Stickers
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Machine Type (0 or 1€¦ 0 represents an older €“slower machine, 1 is newer)
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Measured Values:
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Steps I€™ve Done So Far:
I€™ve created a couple different data mining models for this as I was unsure which one(s) to use. I checked the lift chart while feeding back in the original data set and my scatter plot appeared fairly inaccurate.

I've attempted to use Excel to create a linear regression, however my r squared value was always around .30. I decided to try to use SQL Server Data Mining to see if it could be something to help predict our accuracy better than a linear formula.


I've played with a couple different algorithms in Data Mining, and it appeared that none of them did exceptionally well with prediction. I even checked the lift chart using the same table as I used to train the model.

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Any suggestions would be greatly appreciated.


If anyone needs further clarification, please let me know.

Thank you.

Regards,

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