Exit The Package Conditionally

Jan 4, 2007

I'm inside a "dataflow" and

i have a conditional spliter

 

one of the condition say "ok"

and the the other says "not ok"

 

when  my flow goes to the "not ok" condition

I want to Abort  the entire package execution

I want to make it sure that the package is terminated

and could not  triggers the next control in the control flow.

 

i want to kill/ abort the execution of all my SSIS processes

for the entire package within the current dataflow

 

 

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Date 10/2/2007 7:35:00 AM
Log Job History (Pyxis - Data Load)

Step ID 1
Server DEVSQL1V5
Job Name Pyxis - Data Load
Step Name Run SSIS Package
Duration 00:00:03
Sql Severity 0
Sql Message ID 0
Operator Emailed
Operator Net sent
Operator Paged
Retries Attempted 0


Message
Executed as user: Domain_NameSQLService. The return value was unknown. The process exit code was -1073741819. The step failed.



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------ | ------- | ------- | ------------- | ----- | -------
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Hi folks

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(blablaba)

~~~Focus on problem, not solution~~~

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Im having a play using @@identity

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then insert some other data into another table
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My question
I only want to do the second insert only if
@FieldValue2 contains a value ie not empty

below is a basic procedure without conditonal part



Code:

CREATE PROCEDURE conditional_Insert

@FieldID As int,
@FieldValue As Nvarchar(50),
@FieldValue2 As Nvarchar(50)
AS

declare @id int

set nocount on

INSERT INTO Table1(fieldID,fieldvalue)
VALUES( @FieldID, @FieldValue)

set @id = @@identity

INSERT INTO Table2(fieldID2, FieldValue2)
VALUES(@id, @FieldValue2)

select @id
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CREATE TABLE #myTable (
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YrEnd INT,
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[code]....

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Mar 19, 2007

Hi all,
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Mar 17, 2008

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departmentId classId barcode orderId isDiscountedItem
----------------------------------------------------------------------------------------------------------------------
1 1 123 1 True
2 7 456 1 False
1 1 123 2 False
1 1 123 3 True
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... ... ... ... ...

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Merchandise Number of customers who used a coupon
--------------------------------------------------------------------------------------------------------------
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Class 1 2

Barcode 123 2
Barcode 789 1
Department 2 0

Class 7 0

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This is the view of all rows:








Cat1
Cat2

Product A
Data 1
#
#


Data 2
#
#


Data 3
#
#


Data 4
#
#


Data 5
#
#


Data 6
#
#

Product B
Data 1
#
#


Data 2
#
#


Data 3
#
#


Data 4
#
#


Data 5
#
#


Data 6
#
#

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Cat1
Cat2

Product A
Data 1
#
#


Data 4
#
#


Data 5
#
#


Data 6
#
#

Product B
Data 1
#
#


Data 4
#
#


Data 5
#
#


Data 6
#
#

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iCountOfBananas as Integer

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