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Home/ Questions/Q 7436425
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Editorial Team
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Editorial Team
Asked: May 29, 20262026-05-29T10:14:14+00:00 2026-05-29T10:14:14+00:00

I get a error message the method ‘join’ is not supported in the below

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I get a error message “the method ‘join’ is not supported” in the below linq query:

tableServiceContext = new CustomTableServiceContext(storageAccount.TableEndpoint.AbsoluteUri, storageAccount.Credentials);
tableServiceContext.RetryPolicy = RetryPolicies.Retry(3, TimeSpan.FromSeconds(1));
var results = (from c in tableServiceContext.CreateQuery<ChannelEntry>("Channels").AsTableServiceQuery<ChannelEntry>()
    join v in tableServiceContext.CreateQuery<VideoEntry>("Videos").AsTableServiceQuery<VideoEntry>() on c.PartitionKey equals v.ChannelID
    join h in tableServiceContext.CreateQuery<HitEntry>("Hits").AsTableServiceQuery<HitEntry>() on v.PartitionKey equals h.VideoID
    where c.RowKey.Equals(UserID)
    group h by h.RowKey into g
    select new BiggestFan { UserID = g.Key, Hits = g.Count() }).AsTableServiceQuery().Execute().OrderByDescending(b => b.Hits).Take(1);

If “join” is not supported in this context then what would be the most efficient way to do my query ?

I have Channels which are made up of Videos which in turn have Hits. I’m trying to find the biggest fan (highest hits) of the currently logged in user.

What would be the most efficient way of doing this type of this without using joins? Would I have to grab all the Channels then Videos and then Hits as 3 separate calls to the Table Storage and then do the joins after that?

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  1. Editorial Team
    Editorial Team
    2026-05-29T10:14:15+00:00Added an answer on May 29, 2026 at 10:14 am

    Yes you can’t join. You have a couple options here.

    1) Multiple scans – slap a couple of .ToArray() statements before you joins so that its doing the join in memory in your app. This is not performant but table storage is pretty fast. Really comes down to how many rows this will result in.

    2) Denormalise your tables so that you have references to all the keys you need in a single table. This will let you get your results in 1 query, but means all insert/update logic needs to be updated.

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