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    <p>[Edit - altered to use a DateTimeOffset instead]</p> <p>I've come up with the following, starting off with creating the base MyTable:</p> <pre><code>-- Test data creation to match schema &amp; examples create TABLE MyTable ( HitDate DateTimeOffset NOT NULL, IpAddress varchar(15) ) insert into MyTable values ('7/10/2013 8:05:29 -07:00', '111.222.333.444') insert into MyTable values ('7/10/2013 12:05:29 -07:00', '111.222.333.222') insert into MyTable values ('7/9/2013 9:05:29 -07:00', '111.222.333.444') insert into MyTable values ('7/9/2013 10:05:29 -07:00', '111.222.333.555') insert into MyTable values ('7/8/2013 11:05:29 -07:00', '111.222.333.222') insert into MyTable values ('7/8/2013 4:05:29 -07:00', '111.222.333.555') -- actual solution starts here create TABLE #MyTable ( HitDate date, IpAddress varchar(15) ) -- populate data into required format for main query insert into #MyTable SELECT HitDate, IpAddress FROM MyTable -- main query select distinct convert(varchar(10), HitDate, 101) HitDate, ISNULL(dateCounts.counter, 0) NewIPAddresses from #MyTable mainDates left outer join ( select main.HitDate dateValue, count(*) counter from #MyTable main left outer join #MyTable sub on main.IpAddress = sub.IpAddress and main.HitDate &gt; sub.HitDate where sub.IpAddress is null group by main.HitDate ) dateCounts on dateCounts.dateValue = HitDate </code></pre> <p>which gives:</p> <pre><code> HitDate NewIPAddresses -------------- -------------- 07/08/2013 2 07/09/2013 1 07/10/2013 0 </code></pre>
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    1. COThis is not right. The data type in your table is wrong. It should be DateTimeOffset, not Date. The results are not correct.
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    2. COYou're right. Re-engineered to use correct datatype.
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    3. CO@RandyMinder Are you connected to the original questioner? If so, maybe some additional test data would be of use, as the above works fine for me.
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