SQL Server 2008 :: Add New Calendar Columns (January To December) To Existing Query?

Apr 8, 2015

I have a requirement to add new calendar columns from Jan to Dec in an existing SSRS report based on certain conditions.

The report uses a simple query at the moment.

SELECT [PROJECT ID]
,[PROJECT]
,[STATUS]
,[ACTUAL START]
,[ESTIMATED END]
FROM Projects

The requirement to add the new calendar columns is based on the following conditions:

1. If the Status value is “2” then for each Month in the current year, shade in green for the particular current month

For example, if for a particular Project for month/year of April 2015

Year/Month(Actual Start date) is < = April 2015

and Year/Month(Estimate End date) > = April 2015, then April should be shaded green.

2. The logic needs to be repeated from each month in the current year.

3. Some Estimate and Actual dates run from previous year, or into next year, so year also needs to be taken into consideration.

find the DDL and sample data below.

CREATE TABLE [dbo].[Projects](
[PROJECT ID] [nvarchar](255) NULL,
[PROJECT] [nvarchar](255) NULL,
[STATUS] [nvarchar](255) NULL,
[ACTUAL START] [datetime] NULL,
[ESTIMATED END] [datetime] NULL
) ON [PRIMARY]

insert into Projects

values('1','TFD','2','2015-01-31 00:00:00.000','2015-12-31 00:00:00.000')
insert into Projects
values('2','JUH','1','2015-02-01 00:00:00.000','2015-02-27 00:00:00.000')
insert into Projects
values('3','REFFD','2','2015-01-31 00:00:00.000','2015-11-30 00:00:00.000')

[code].....

how to rewrite the existing query to add new calendar columns in the report and then in the SSRS output shade green based on the above condition.

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Sep 21, 2015

I have some huge tables (think 200+GB for a single table) which are excellent candidates for sparse columns. The tables have many columns which are defined with decimal datatypes (13,2) with a large percentage of them (over 50% in most cases- some as much as 99%) being 0.00. Since this is very expensive in terms of storage my idea is to set all the 0.00 values equal to NULL then set them as sparse. Across 100 or so identical databases, I have 5 such tables, with 20-40 columns in each table.

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Step 3 update table set sparse columns

2.)

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[code]...

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Assume I have data like this

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[Code] ....

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[code]....

The query Im running so far is wrong, but here it is...

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[Code] .....

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