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I had a stored procedure comparing two dates. From the logic of my application, I expected them to be equal. However, the comparison failed. The reason for this was the fact that one of the values was stored as a DATETIME and had to be CONVERT-ed to a DATETIME2 before being compared to the other DATETIME2. Apparently, this changed its value. I have run this little test:

DECLARE @DateTime DATETIME='2018-01-18 16:12:25.113'
DECLARE @DateTime2 DATETIME2='2018-01-18 16:12:25.1130000'
SELECT @DateTime, @DateTime2, DATEDIFF(NANOSECOND, @DateTime, @DateTime2)

Which gave me the following result: -333333ns difference

Why is there the difference of 333333ns between these values? I thought that a DATETIME2, as a more precise type, should be able to accurately represent all the values which can be stored in a DATETIME? The documentation of DATETIME2 only says:

When the conversion is from datetime, the date and time are copied. The fractional precision is extended to 7 digits.

No warnings about the conversion adding or subtracting 333333ns to or from the value! So why does this happen?

I am using SQL Server 2016.

edit: Strangely, on a different server I am getting a zero difference. Both are SQL Server 2016 but the one where I have the problem has compatibility level set to 130, the one where I don't has it set to 120. Switching between them changes this behaviour.

edit2: DavidG suggested in the comments that the value I am using can be represented as a DATETIME2 but not a DATETIME. So I have modified my test to make sure that the value I am assigning to @DateTime2 is a valid DATETIME value:

DECLARE @DateTime DATETIME='2018-01-18 16:12:25.113'
DECLARE @DateTime2 DATETIME2=CONVERT(DATETIME2, @DateTime)
SELECT @DateTime, @DateTime2, DATEDIFF(NANOSECOND, @DateTime, @DateTime2)

This helps a little because the difference is smaller but still not zero: -33ns difference

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A breaking change was introduced in SQL Server 2016 with regards to conversion and comparison of datetime and datetime2. The changes are detailed in this knowledge base article.

In summary, values were rounded during the conversion in SQL 2014 and earlier versions whereas the full precision is considered nowadays. This improves performance but introduces issues when converting and comparing these unlike types.


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