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Something Most Likely Simple


Something Most Likely Simple

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AndrewSQLDBA
AndrewSQLDBA
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Hello Everyone
I have a rather odd query that I am trying to figure out the best way to code. I am going to try and explain the best way possible. I want to be able to do this without incorporating a loop.

I have a table that stores patient information about Diagnosis. There are three distinct hospital locations. Lets Call them LA, NY and Indy. There are three CodeNumbers for each Location : 30.1, 40.1 and 50.1

Now, what I am after is the count for each CodeNumber, per Each Location per each day.

These are the counts of each code per each location per each day.

Counts:

LA = 402 = Total
LA - 30.1 = 57
LA - 40.1 = 278
LA - 50.1 = 67

NY = 82 = Total
NY - 30.1 = 13
NY - 40.1 = 55
NY - 50.1 = 14

Indy = 142 = Total
Indy - 30,1 = 19
Indy - 40.1 = 77
Indy - 50.1 = 46


The way the data is stored is like this:



--===== If the test table already exists, drop it
IF OBJECT_ID('TempDB..#Diagnosis','U') IS NOT NULL
DROP TABLE #Diagnosis

--===== Create the test table with
CREATE TABLE #Diagnosis
(
RowID INT IDENTITY(1,1) PRIMARY KEY CLUSTERED
, DateDataRepresents Date
, CodeNumber DECIMAL(4,1)
, Location varchar(5)
)

INSERT INTO #Diagnosis
(DateDataRepresents, CodeNumber, Location)
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'NY' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY'

SELECT
DateDataRepresents
, CodeNumber
, Location
FROM #Diagnosis;

DROP TABLE #Diagnosis;




etc.........
The table has approx half a million rows

What is the most efficient way to get the counts?

Thank You in advance for your help, suggestions and advice

Andrew SQLDBA
anthony.green
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Something like the following?



--===== If the test table already exists, drop it
IF OBJECT_ID('TempDB..#Diagnosis','U') IS NOT NULL
DROP TABLE #Diagnosis

--===== Create the test table with
CREATE TABLE #Diagnosis
(
RowID INT IDENTITY(1,1) PRIMARY KEY CLUSTERED
, DateDataRepresents Date
, CodeNumber DECIMAL(4,1)
, Location varchar(5)
)

INSERT INTO #Diagnosis
(DateDataRepresents, CodeNumber, Location)
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'NY' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY'
;with cte as
(
SELECT
DateDataRepresents
, Location
, CodeNumber
,COUNT(RowID) AS Count
FROM #Diagnosis
GROUP BY DateDataRepresents, CodeNumber,Location
with cube
)
select
DateDataRepresents,
Location,
ISNULL(CONVERT(VARCHAR,CodeNumber),'Total') AS CodeNumber,
Count
from cte where datedatarepresents is not null and location is not null order by Location,CodeNumber,DateDataRepresents
DROP TABLE #Diagnosis;





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AndrewSQLDBA
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Anthony
Thanks is perfect.

Thank You. I greatly appreciate that. I never thought to use cube.

Andrew SQLDBA
anthony.green
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If also not familiar lookup WITH ROLLUP, its another one to look at along with WITH CUBE, both produce different outputs so need to ensure you choose the right one, ROLLUP wont work in this instance but CUBE does.



Want an answer fast? Try here
How to post data/code for the best help - Jeff Moden
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SQL Server Backup, Integrity Check, and Index and Statistics Maintenance - Ola Hallengren
Managing Transaction Logs - Gail Shaw
Troubleshooting SQL Server: A Guide for the Accidental DBA - Jonathan Kehayias and Ted Krueger


GilaMonster
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Also, since this is SQL 2008, have a read up on Grouping Sets. They allow a lot more flexibility than cube and rollup do.


Gail Shaw
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GilaMonster (1/17/2013)
Also, since this is SQL 2008, have a read up on Grouping Sets. They allow a lot more flexibility than cube and rollup do.


Especially since WITH CUBE and WITH ROLLUP are being deprecated.

Drew

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AndrewSQLDBA
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Thank You Everyone

Ok, I have been reading up on Grouping Sets, but I still am not getting it. How would one go about writing a query to work correctly with the same data that was given and not use Cube or Rollup?

Thanks in advance
Andrew SQLDBA
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AndrewSQLDBA (1/17/2013)
Thank You Everyone

Ok, I have been reading up on Grouping Sets, but I still am not getting it. How would one go about writing a query to work correctly with the same data that was given and not use Cube or Rollup?


You could always "roll your own" Totals. Performs fine with the small sample data set; if your production set is much larger, you'd want to compare metrics to see if this code scales.


--===== If the test table already exists, drop it
IF OBJECT_ID('TempDB..#Diagnosis','U') IS NOT NULL
DROP TABLE #Diagnosis

--===== Create the test table with
CREATE TABLE #Diagnosis
(
RowID INT IDENTITY(1,1) PRIMARY KEY CLUSTERED
, DateDataRepresents Date
, CodeNumber DECIMAL(4,1)
, Location varchar(5)
)

INSERT INTO #Diagnosis
(DateDataRepresents, CodeNumber, Location)
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'NY' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 40.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 50.1, 'NY' UNION ALL
SELECT '2012-12-16', 30.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'Indy' UNION ALL
SELECT '2012-12-16', 40.1, 'NY' UNION ALL
SELECT '2012-12-16', 40.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'NY' UNION ALL
SELECT '2012-12-16', 50.1, 'LA' UNION ALL
SELECT '2012-12-16', 30.1, 'Indy' UNION ALL
SELECT '2012-12-16', 50.1, 'NY'
;with cte as
(
SELECT
DateDataRepresents,
Location,
CodeNumber,
COUNT(RowID) AS Count_nb
FROM
#Diagnosis
GROUP BY
DateDataRepresents,
CodeNumber,
Location
)

-- Totals by CodeNumber
SELECT
DateDataRepresents,
Location,
CAST(CodeNumber as CHAR(4)) AS CodeNumber,
Count_nb
FROM
cte
WHERE
DateDataRepresents IS NOT NULL
AND Location IS NOT NULL

UNION ALL

-- Totals by Location
SELECT
DateDataRepresents,
Location,
'Total' AS CodeNumber,
SUM(Count_nb) AS Count_nb
FROM
cte
WHERE
DateDataRepresents IS NOT NULL
AND Location IS NOT NULL
GROUP BY
DateDataRepresents,
Location

ORDER BY
Location,
CodeNumber,
DateDataRepresents

DROP TABLE #Diagnosis;


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