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Home/ Questions/Q 3352624
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Editorial Team
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Editorial Team
Asked: May 18, 20262026-05-18T02:03:10+00:00 2026-05-18T02:03:10+00:00

I have a multitenancy application and I want a clustered index for the data

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I have a multitenancy application and I want a clustered index for the data to support fast range queries.

If I design my clustered index like this:

(SystemID, EntityID, IsHidden)

SystemID is the unique identifier for the multitenancy instance, EntityID is an identity for the entity and IsHidden is a flag whether this row shows up in results or not. Will SQL Server be able to throw out all data not belonging to the system as well as the hide data efficiently? and does the order in which these columns are specified matter?

If I have a query like so:

SELECT * FROM MyTable WHERE SystemID = @pSystemID AND IsHidden = 0

I guess what I’m trying to do is effectively partition the table so that all rows belonging to a specific system as well as hidden data is physically grouped close together. That way, it can be easily discarded depending on the query against that data.

Is this good or bad? (I’m leaning towards good, I’m not expecting a lot of inserts to be taking place)

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  1. Editorial Team
    Editorial Team
    2026-05-18T02:03:10+00:00Added an answer on May 18, 2026 at 2:03 am

    Make it like this instead: (SystemID, IsHidden, EntityID). Having the IsHidden column after the EntityID would make it basically useless since the EntityID is already unique. Searching for the criteria you give as example (WHERE SystemID=@SystemID AND IsHidden=0) would still have to search the entire range of that tenant, since the rows with IsHidden=0 are spread out across the entire range. Moving this column before EntityID allows for much more efficient range scans.

    One problem you’ll face is that searching for a specific EntityID will be by default inefficient (WHERE EntityID=@EntityID). You can improve things by adding a non-clustered index on EntityID but that will only solve part of the problems. The bulk of the issues will arise from joins with other tables, like a details table that will join on condition:

    FROM Master JOIN Detail ON Master.EntityID = Detail.ParentEntityID
    

    As these queries get more complex and the range of candidate rows increases, the efficiency of the non-clustered indexes on the EntityID/ParentEntityID keys starts to decrease, until they hit the tipping point and are basically ignored. If possible, make sure all these joins specify the clustered index key instead:

    FROM Master JOIN Detail 
       ON Master.SystemID = Detail.SystemID 
       AND Master.IsHidden = Detail.IsHidden 
       AND Master.EntityID = Detail.ParentEntityID
    

    The problem will be that most modeling tools (like EF or Linq) will tend to join by the logical primary key (the EntityID) as opposed to the physical clustered key.

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