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Best, Most Efficient DATETIME filtering

Bobby P 271 Reputation points
2026-03-13T14:16:26.6766667+00:00

I have seen many discussions regarding doing filtering against a DATETIME Data Type.

Some suggest to use a true DATTETIME format.

WHERE <DATETIME_Column_Name> >= '2026-02-17 00:00:00.000'

Others suggest to use just a quoted Date...

WHERE <DATETIME_Column_Name> >= '2/17/2026'

Just wondering if anyone has actually played around with this and determined the most efficient means to filter a DATETIME formatted column.

Thanks for your review and am hopeful for a solid response.

SQL Server | SQL Server Transact-SQL
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  1. Q&A Assist
    2026-03-13T14:16:48.9333333+00:00
    AI generated content. This question contains an answer created with AI from Q&A Assist. Learn more

    For SQL Server, both of the predicates

    WHERE <DATETIME_Column_Name> >= '2026-02-17 00:00:00.000'
    WHERE <DATETIME_Column_Name> >= '2/17/2026'
    

    are logically equivalent if the second literal is interpreted as midnight on 2026‑02‑17. From a performance perspective, the key points are:

    1. SQL Server stores datetime as a numeric value, and any constant date literal is converted to that internal value before the query runs. Once compiled, the plan uses a parameter/constant of type datetime, not the original string, so there is no meaningful runtime performance difference between the two literal formats.
    2. The real performance driver is whether the predicate is sargable (can use an index seek and segment/rowgroup elimination) and whether an index exists on the column. A simple range predicate like:
    WHERE <DATETIME_Column_Name> >= @StartDate
      AND <DATETIME_Column_Name> <  @EndDate
    

    against an indexed datetime column is optimal. Avoid wrapping the column in functions (for example WHERE CONVERT(date, <DATETIME_Column_Name>) = '2026-02-17'), because that prevents efficient index usage.

    1. Use an unambiguous, ISO-style format for literals to avoid misinterpretation by DATEFORMAT/language settings. The context explicitly recommends YYYYMMDD without delimiters as always interpreted correctly by SQL Server date-related data types, and notes that YYYY-MM-DD is reliably understood by the newer types but not by older ones like datetime when DATEFORMAT changes.

    So, for both correctness and maintainability, a recommended pattern is:

    DECLARE @StartDate datetime = '20260217';       -- 2026-02-17 00:00:00.000
    DECLARE @EndDate   datetime = '20260218';       -- 2026-02-18 00:00:00.000
    
    SELECT ...
    FROM   YourTable
    WHERE  <DATETIME_Column_Name> >= @StartDate
       AND <DATETIME_Column_Name> <  @EndDate;
    

    This is efficient (index-friendly) and avoids regional-format ambiguity. The choice between including an explicit time portion ('2026-02-17 00:00:00.000') or relying on the default midnight for '20260217' does not affect performance; it is a clarity and safety issue, where the unambiguous ISO date literal is preferred.


    References:


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