SQL 2012 :: Scheduled Query To Export To Daily XLS File

Jun 17, 2015

I'm using SSMS 2012. I have multiple queries that are run daily(I also have a few that are run every Monday) that I want to schedule to run at midnight and export to a new xls file on the network drive to be used the next morning. Is there something that I can add to each query to accomplish this or would I have to set something else up to call the queries?

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I have an existing MS SQL database (2008 R2). I have a very simple SQL script. I need to run this script on a daily basis and save the results as a .csv file.

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what program I should be using, and how to go about creating this as a task / job that can run on a scheduled basis?

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Msg 18456
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Hi,
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I have a problem that requires me to write Daily sum aggregation script, I wrote the script; But what I'm not sure of is the "Daily" part, my script will give me only give me results when I execute it.

SELECT
Receipt
,"Date"
,Item
,Reason

[Code] ....

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Jun 26, 2014

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Snapshot Replication
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Jul 7, 2015

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She implemented this "solution" with a lot of customers as a solution against VLFs fragmentation and huge transaction log sizes. My thoughts about doing this is very clear and I have used the following arguments without success to convince her:

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- Shrinking the transaction log file on a daily basis that is disk I/O intensive. When the transaction log file is too small for new transactions, the transaction log needs to grow and this will cause disk I/O, this can cause performance problems.

- It looks unprofessional.

These steps are used every morning at 6:00 AM and a transaction log backup is made every 30 minutes.

Step 1
DBCC SHRINKFILE (N'' , 0, TRUNCATEONLY);
go

Step 2
ALTER DATABASE
MODIFY FILE (NAME = N'', SIZE = 4098MB);
GO

My main purpose is making sure the customers have the best possible configuration and I cant accept this is being implemented. Are there any more arguments available for this issue?

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Jul 14, 2015

I have a code I wrote and I'm required to get Product Name and Quantity with the maximum quantity sold per day. My issue is with the "per day" part, here's my code below.

SELECT
t.SalesOrder
,t.OrderQuantity
,t.OrderTotal
,t.OrderDate
,p.ProductName

FROM Transactions t
INNER JOIN SalesPerson sp
ON t.SalesPersonID = sp.SalesPersonID
INNER JOIN Product p
ON t.ProductID = p.ProductID

WHERE sp.SalesPersonName LIKE 'John%'

Now from this code I need to get only Product Name and Quantity with the maximum quantity sold per day, here's what I tried;

SELECT
SUM(t.OrderQuantity) AS Order_Quantity
,p.ProductName

FROM Transactions t
INNER JOIN Product p
ON t.ProductID = p.ProductID

WHERE sp.SalesPersonName LIKE 'John%'
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how to export the data in columns to separate tabs in excel.

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Dec 31, 2007

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Thanks for your time,

Donavan

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Daily File Processing Help

Jan 9, 2004

Hello DBA's:

I need to extract a particular file from our AS 400 system on a daily basis and do some processing on it. Also I want to do the daily processing only on those records that have been added/updated since the initial load.
Here is the approach and possible implementation.

Approach
I have the DB2 source data containing 10 columns (Col1 to Col5 together form the key) and the rest are attributes. I am interested only in the key and two attributes. So I load my table with only Col1 to Col7 ( 5 for key and the two attributes). I then do my processing on this table.

Here is the implementation given by a member of dbforums -



You'll then have to deal with 3 potential actions,

INSERT: New records on the file.
DELETES: Records that don't exists.
UPDATES: Records that are on the file, but attributes have changed.


You had given me this code template.

CREATE TABLE myTable99 (
Col1 char(1)
, Col2 char(1)
, Col3 char(1)
, Col4 char(1)
, Col5 char(1)
, CONSTRAINT myTable99_pk PRIMARY KEY (Col1, Col2))

CREATE TABLE myTable00 (
Col1 char(1)
, Col2 char(1)
, Col3 char(1)
, Col4 char(1)
, Col5 char(1)
, CONSTRAINT myTable00_pk PRIMARY KEY (Col1, Col2))
GO

INSERT INTO myTable99(Col1,Col2,Col3,Col4,Col5)
SELECT '1','1','a','b','c' UNION ALL
SELECT '1','2','d','e','f' UNION ALL
SELECT '1','3','g','h','i' UNION ALL
SELECT '1','4','j','k','l'
--DELETED

INSERT INTO myTable00(Col1,Col2,Col3,Col4,Col5)
SELECT '1','1','a','b','c' UNION ALL--NO CHANGE
SELECT '1','2','x','y','z' UNION ALL-- UPDATE (My comment - Instead of an update I want to insert a new record)
SELECT '1','3','g','h','i' UNION ALL--NO CHANGE
SELECT '2','3','a','b','c'--INSERT
GO

SELECT * FROM myTable99
SELECT * FROM myTable00
GO

--DO DELETES FIRST (My comment - Before deleting, I want to copy the rows that I am going to delete on a separate table to maintain history. Then I want to delete from a). I don't get the logic. If the rows of the old extract are not in new extract then delete them. So shouldn't it be <> instead of =. why the where clause condition)
DELETE FROM a
FROM myTable99 a
LEFT JOIN myTable00 b
ON a.Col1 = b.Col1
AND a.Col2 = b.Col2
WHERE b.Col1 IS NULL AND b.Col2 IS NULL

-- INSERT (My comment - I don't get the logic of the where. If the rows of the old extract are not in new extract then delete them. So shouldn't it be <> instead of =)

INSERT INTO myTable99(Col1,Col2,Col3,Col4,Col5)
SELECT a.Col1, a.Col2, a.Col3, a.Col4, a.Col5
FROM myTable00 a
LEFT JOIN myTable99 b
ON a.Col1 = b.Col1
AND a.Col2 = b.Col2
WHERE b.Col1 IS NULL AND b.Col2 IS NULL

-- UPDATE

UPDATE a
SET Col3 = b.Col3
, Col4 = b.Col4
, Col5 = b.Col5
FROM myTable99 a
INNER JOIN myTable00 b
ON a.Col1 = b.Col1
AND a.Col2 = b.Col2
AND ( a.Col3 <> b.Col3
OR a.Col4 <> b.Col4
OR a.Col5 <> b.Col5)
GO
------------

Can anybody look at My comments and answer them or revise this code template if need be?

Brett Kaiser - I sent you an e-mail on this. Can you respond to it when time permits.

Thanks

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Nov 1, 2006

We keep a database of events that are classified by severity. I've got a good, efficient query that gives me the grand total for these events. And I have a bad slow query that breaks down the information into daily totals.

My fast query will count the totals for 3213586 events in 4 seconds. The slow daily query takes about 60 seconds for each day.

Please help optimize my slow query!

------ Database schema is:












Column Name
Data Type
Length
Allow Nuls

1
msrepl_tran_version
uniqueidentifier
16
0

0
[time]
GMTtime (int)
4
0

0
msec
int
4
1

0
offset
GMToffset (smallint)
2
0

0
type
nameType (varchar)
15
1

0
host
nameType (varchar)
15
1

0
process
nameType (varchar)
15
1

0
dbName
nameType (varchar)
15
1

0
ptName
nameType (varchar)
15
1

0
description
descType (varchar)
47
1

0
rtuName
nameType (varchar)
15
1

0
groupName
nameType (varchar)
15
1

0
message
msgType (varchar)
131
0

0
fgInt
tinyint
1
1

0
sevInt
tinyint
1
1

0
key1
int
4
1

0
key2
int
4
1

0
spooler
tinyint
1
1

------- The database view eventView that's used by my queries:
SELECT DATEADD([second], [time] + 60 * offset, '01/01/70') AS timeStr, msec, host, process, dbName, ptName AS point, description, rtuName AS rtu, groupName, message, type, sevInt, [time]
FROM dbo.summary

------- Fast totals query:

select
(select count(*)
from [event].[dbo].[eventView]) as Events,
(select count(*)
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 1)as Low,
(select count(*)
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 2)as Medium,
(select count(*)
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 3) as High,
(select count(*)
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 4) as Low1,
(select count(*)
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 6) as Medium1,
(select count(*)
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 8) as High1,
(select count(*)
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 9) as High2

------- Slow daily query:

declare @myDay datetime
declare @begDay datetime

declare @myTable
table( myDay datetime,
Events int,
Low int, Medium int,
High int, Low1 int, Medium1 int,
High1 int, High2 int )

select @myDay = getdate()

select @begDay = convert(datetime, '10/01/2006')

while @begDay <= @myDay
begin

insert into @myTable (myDay) values (convert(varchar(20), @begDay, 101))

---------------------------------------------------------------------

update @myTable set Events =
(select count(*) as Events
from [event].[dbo].[eventView]
where
convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

update @myTable set Low =
(select count(*) as Low
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 1
and convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

update @myTable set Medium =
(select count(*) as Medium
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 2
and convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

update @myTable set High =
(select count(*) as High
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 3
and convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

update @myTable set Low1 =
(select count(*) as Low1
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 4
and convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

update @myTable set Medium1 =
(select count(*) as Medium1
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 6
and convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

update @myTable set High1 =
(select count(*) as High1
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 8
and convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

update @myTable set High2 =
(select count(*) as High2
from [event].[dbo].[eventView]
where type = 'alarm' and sevInt = 9
and convert(varchar, timeStr, 101) = convert(varchar(20), @begDay, 101))
where myDay = convert(varchar(20), @begDay, 101)

---------------------------------------------------------------------

select @begDay = dateadd(day,1,@begDay)

end

select * from @myTable

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[Code] ....

with this query:

SELECT
'version="5" type="database"' AS 'value',
'master' AS 'name',
LTRIM(RTRIM(([Server Name]))) AS 'server',
'True' AS 'integratedSecurity',

[Code] ....

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<value>
<value>version="5" type="database"</value>
<name>master</name>
<server>ServerName</server>
<integratedSecurity>True</integratedSecurity>

[Code] .....

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Weekly sum(profit)
10/16 - 10/21 - $1000
10/9 - 10/15 - $4100
10/2 - 10/8 - $ 8038
--
--
--

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Any suggestions are welcome,

Cheers

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CASE WHEN [FILE_PATH] IS NOT NULL THEN
(SELECT * FROM OPENROWSET(BULK [FILE_PATH], SINGLE_BLOB) TT)
END
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select *
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Msg 7399, Level 16, State 1, Line 1
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Msg 7303, Level 16, State 1, Line 1
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Details:
SQL Server Express 2012
Office version: Excel 10
Provider: Microsoft.ACE.OLEDB.12.0

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DB_NAME(mf.database_id) AS DatabaseName,
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sum((mf.size*8))/1024 SizeMB

[Code] ...

How would I best accomplish this if I want to implement it using a TSQL procedure?

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