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Editorial Team
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Editorial Team
Asked: May 29, 20262026-05-29T06:30:19+00:00 2026-05-29T06:30:19+00:00

I have a table with a large(ish) amount of rows 500k, MSSQL Server 2008.

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I have a table with a large(ish) amount of rows 500k, MSSQL Server 2008. I have a column which holds a nvarchar product ID which is usually 15 characters in length, alphabetical and numerical e.g. FF93F348HJKCF5HW9 . I would like to be able to search for this product ID with the best performance. I have done some research into using Full-Text indexing on this column and I dont really think that using full-text indexing using CONTAINS offers any benefit over using LIKE '%%'. This looks to be down to the fact Full-text indexing is more beneficial when searching for whole words, rather than a series of characters.

Can somebody confirm/deny this for me?

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  1. Editorial Team
    Editorial Team
    2026-05-29T06:30:19+00:00Added an answer on May 29, 2026 at 6:30 am

    Full-Text indexing is about searching for language words in unstructured text data. Your data doesn’t contain words, just a sequence of characters.

    I haven’t tested this, but I would expect that LIKE would actually be faster, as long as your data is indexed. CONTAINS is meant for searching for words & word-like structures.

    If your requirement is for “auto-complete”, then LIKE will perform pretty well since the optimizer will use an INDEX SEEK when you search for something such as LIKE 'F5521%'.

    This MSDN article explains the basics of the CONTAINS keyword.

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