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Editorial Team
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Asked: 2026-05-12T00:18:50+00:00

Probably a noob question, but I’ll go for it nevertheless. For sake of example,

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Probably a noob question, but I’ll go for it nevertheless.

For sake of example, I have a Person table, a Tag table and a ContactMethod table. A Person will have multiple Tag records and multiple ContactMethod records associated with them.

I’d like to have a forgiving search which will search among several fields from each table. So I can find a person by their email (via ContactMethod), their name (via Person) or a tag assigned to them.

As a complete noob to FTS, two approaches come to mind:

  1. Build some complex query which addresses each field individually
  2. Build some sort of lookup table which concatenates the fields I want to index and just do a full-text query on that derived table.

(Feel free to edit for clarity; I’m not in it for the rep points.)

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  1. Editorial Team

    If your sql server supports it you can create an indexed view and full text search that; you can use containstable(*,'”chris”‘) to read all the columns.

    If it doesn’t support it as the fields are all coming from different tables I think for scalability; if you can easily populate the fields into a single row per record in a separate table I would full text search that rather than the individual records. You will end up with a less complex FTS catalog and your queries will not need to do 4 full text searches at a time. Running lots of separate FTS queries over different tables at the same time is a ticket to query performance issues in my experience. The downside with doing this is you lose the ability to search for Surname on its own; if that is something you need you might need to look at an alternative.

    In our app we found that the single table was quicker (we can’t rely on customers having enterprise sql at hand); so we populate the data with spaces into an FTS table through an update sp then our main contact lookup runs a search over the list. We have two separate searches to handle finding things with precision (i.e. names or phone numbers) or just for free text. The other nice thing about the table is it is relatively easy and low cost to add further columns to the lookup (we have been asked for social security number for example; to do it we just added the column to the update SP and we were away with little or no impact.

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