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How can I ignore arithmetic overflow errors from the data view?

I have a complex data representation that recursively links and summarizes information.

Every night, a scheduled task launches a stored procedure that selects all the data from the data view and inserts it into the table so that users can query and analyze the data much faster than running the select statement in the data view.

The parent table consists of several hundred thousand records, and the result set from export is more than 1,000,000 records.

For most nights, the export process works without any problems, however, if the user enters an incorrect value in our main ERP system, it will cause failures in the night process, because one of the decimal fields will contain a value that does not fit in some conversions, which I have to do on the data. Debugging and finding a specific, erroneous field can be very difficult and time consuming.

With that said, I read about two SQL settings NUMERIC_ROUNDABORTand ARITHABORT. These sounds are ideal for solving my problem, however, I cannot get them to work with my data presentation or stored procedure.

My stored procedure is nothing but a TRUNCATE and INSERT statement. I added...

SET NUMERIC_ROUNDABORT OFF
SET ARITHABORT OFF

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:

SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[tbl_OverflowExample](
    [Value] [decimal](12, 2) NULL
) ON [PRIMARY]    
GO
INSERT [dbo].[tbl_OverflowExample] ([Value]) VALUES (CAST(9999999999.00 AS Decimal(12, 2)))
GO
INSERT [dbo].[tbl_OverflowExample] ([Value]) VALUES (CAST(1.10 AS Decimal(12, 2)))
GO

--#### Select data without any casting - works
SELECT  VALUE
FROM    dbo.tbl_OverflowExample

--#### With ARITHABORT and ANSI warnings disabled - Returns NULL for 999999 but 1.10 as expected
SET ARITHABORT  OFF;
SET ANSI_WARNINGS OFF;
SELECT  CONVERT(DECIMAL(3, 2), VALUE)
FROM    dbo.tbl_OverflowExample
GO

--#### With defaults - Fails with overflow exception
SET ARITHABORT  ON;
SET ANSI_WARNINGS ON;
SELECT  CONVERT(DECIMAL(2, 2), VALUE)
FROM    dbo.tbl_OverflowExample

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EDIT:

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