Data type conversion issue

Hi guys
I exported some data from a text file to sql server. Here is the sample data..

This table has about 2 million rows.There is a date field in the table which comes as a 'nvarchar' in sql .When i try to convert it to a 'datetime' , i get an error as operation timed out..

Here is the data from the text file...

Date dispensed Outliers Formulation ID Provider Number (dispensing) NSS flag Patient category Units dispensed Total days supply
1/01/2006 12:00:00 a.m. normal 106509.00 7952 I A 120.00 30.00
1/01/2006 12:00:00 a.m. normal 106509.00 8208 I A 360.00 90.00
1/01/2006 12:00:00 a.m. normal 106509.00 9460 I A 120.00 30.00
1/01/2006 12:00:00 a.m. normal 106509.00 10184 I A 120.00 60.00
1/01/2006 12:00:00 a.m. normal 106509.00 10291 I A 120.00 60.00
1/01/2006 12:00:00 a.m. normal 106509.00 11149 I A 120.00 30.00
1/01/2006 12:00:00 a.m. normal 106509.00 11294 I A 120.00 60.00
1/01/2006 12:00:00 a.m. normal 106509.00 11777 I A 120.00 30.00
1/01/2006 12:00:00 a.m. normal 106509.00 12048 I A 120.00 30.00

I have tried the bulk insert as well.

Here is the script for the create table ..

USE [Library]

GO

/****** Object: Table [dbo].[tablename] Script Date: 10/03/2006 14:45:59 ******/

SET ANSI_NULLS ON

GO

SET QUOTED_IDENTIFIER ON

GO

CREATE TABLE [dbo].[NormalOutlier1](

[Datedispensed] [nvarchar](max) COLLATE Latin1_General_CI_AS NULL,

[Outliers] [nvarchar](max) COLLATE Latin1_General_CI_AS NULL,

[Formulation ID] [float] NULL,

[Provider Number (dispensing)] [nvarchar](max) COLLATE Latin1_General_CI_AS NULL,

[NSS flag] [nvarchar](max) COLLATE Latin1_General_CI_AS NULL,

[Patient category] [nvarchar](max) COLLATE Latin1_General_CI_AS NULL,

[Units dispensed] [float] NULL,

[Total days supply] [float] NULL

) ON [PRIMARY]

Hope this helps

Did you try using a datetime rather than NVARCHAR(MAX) in the definition of the table ? There might be a implicit conversion possible for the values. if not you will have to convert the dates with your own logic using either an ETL process in DTS / SSIS or just by using a string manipulation.

HTH, Jens K. Suessmeyer.

http://www.sqlserver2005.de