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Count statistics in sql

Posted on 2014-07-17
8
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Last Modified: 2014-07-18
Hi,

I have this table looking like this:
GroupMail
I would like to count the how many times each event occurs based on each newsletter. So that I get a result like this:
Processed Delivered   Open  Click  Deferred newsletterID
25                22              15       3         3               9

How can I achieve that with an sql query?

Peter
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Comment
Question by:peternordberg
  • 4
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8 Comments
 
LVL 32

Expert Comment

by:awking00
ID: 40202794
I can only assume that the data shown above is not the complete set to produce the results you are looking for since there are are fewer processed and delivered events, only 2 open and click events shown, no deferred events and the number of newsletter ids shown are six and not nine. If so, can you produce the entire set of data in a format that can be used to re-create the table so we can test(i.e. not a picture) such as a text or excel file. Even better would be to show the table create with the insert statements that populated that data.
0
 

Author Comment

by:peternordberg
ID: 40202822
Yes, the image shows only a fraction of the data. Here is the insert query for the table:

INSERT INTO [dbo].[customerGroupMailStatistics]
           ([customerID]
           ,[newsLetterID]
           ,[event]
           ,[url]
           ,[response]
           ,[timestamp]
           ,[tID]
           ,[email])
     VALUES
           (<customerID, int,>
           ,<newsLetterID, int,>
           ,<event, nvarchar(50),>
           ,<url, nvarchar(300),>
           ,<response, nvarchar(500),>
           ,<timestamp, nvarchar(50),>
           ,<tID, int,>
           ,<email, nvarchar(200),>)
GO

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Thanks for help!

Peter
0
 

Author Comment

by:peternordberg
ID: 40202829
Here is a create by the way so it gets faster with testing:
SET ANSI_NULLS ON
GO

SET QUOTED_IDENTIFIER ON
GO

CREATE TABLE [dbo].[customerGroupMailStatistics](
	[id] [int] IDENTITY(1,1) NOT NULL,
	[customerID] [int] NULL,
	[newsLetterID] [int] NULL,
	[event] [nvarchar](50) NULL,
	[url] [nvarchar](300) NULL,
	[response] [nvarchar](500) NULL,
	[timestamp] [nvarchar](50) NULL,
	[tID] [int] NULL,
	[email] [nvarchar](200) NULL,
 CONSTRAINT [PK_customerGroupMailStatistics] PRIMARY KEY CLUSTERED 
(
	[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]

GO

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Peter
0
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Expert Comment

by:awking00
ID: 40202845
What really is needed is to see all of the actual data. Can you just post the results of this query (in a text file will do)?
select id, customerid, newsletterid, event from [dbo.customerGroupMailStatistics] order by 1;
0
 

Author Comment

by:peternordberg
ID: 40202858
Here you go!
groupmail.csv
0
 
LVL 32

Expert Comment

by:awking00
ID: 40202876
With some 35,000 records, I am assuming there will be many more than 25 processed events (the same being true for the other event values). Are the results you initially showed as wanting to get just an example or based on some filter applied to limit the number of rows?
0
 
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Expert Comment

by:Scott Pletcher
ID: 40203084
SELECT    
           SUM(CASE WHEN event = 'Processed' THEN 1 ELSE END) AS Processed
           ,SUM(CASE WHEN event = 'Delivered' THEN 1 ELSE END) AS Delivered
           ,SUM(CASE WHEN event = 'Open' THEN 1 ELSE END) AS Open
           ,SUM(CASE WHEN event = 'Click' THEN 1 ELSE END) AS Click
           ,SUM(CASE WHEN event = 'Deferred' THEN 1 ELSE END) AS Deferred
           ,[newsLetterID]
GROUP BY
           [newsLetterID]
0
 
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Accepted Solution

by:
awking00 earned 500 total points
ID: 40203093
Got tied up with something else for a while.
select
sum(case when event = 'processed' then 1 else 0 end) processed,
sum(case when event = 'delivered' then 1 else 0 end) delivered,
sum(case when event = 'open' then 1 else 0 end) open,
sum(case when event = 'click' then 1 else 0 end) click,
sum(case when event = 'deferred' then 1 else 0 end) deferred,
count(distinct newsletterid) newsletterid
from groupmail
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