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    <p>You have two options.</p> <pre><code>select t1.t1id, max(t1.Name) Name, max(t2.date) Date, (select Value from table2 t22 where t22.date = max(t2.date) and t22.t1id = t2.t1id) Value from table1 t1 left join table2 t2 on t1.t1id = t2.t1id where Name like '%Smith%' group by t2.t1id order by 2 </code></pre> <p>OR</p> <pre><code>select mx.t1id, mx.Name, mx.Date, t2.Value from ( select t1.t1id, max(t1.Name) Name, max(t2.date) Date from table1 t1 left join table2 t2 on t1.t1id = t2.t1id where Name like '%Smith%' group by t2.t1id ) mx left join table2 t2 on (t2.t1id = mx.t1id and t2.date = mx.date) order by 2 </code></pre> <p>Both will produce the same result. The first one takes less code but you might have performance issues with a huge set of data. The second one takes a little more code, but it is also a little more optimized. Notes on the <strong>JOIN</strong> option: </p> <ul> <li>If you go LEFT JOIN (as the example shows), items in Table1 with no correspondent records on Table2 <strong>will be displayed</strong> in the result, but the values in columns Date and Value will be NULL</li> <li>If you go INNER JOIN, items in Table1 with no correspondent records on Table2 <strong>will not be displayed</strong>.</li> </ul> <p><strong>EDIT</strong></p> <p>I missed one of the requirements, which was the Name matching a specific string. The code is now updated. The '%' acts like a wildcard, so it will match names like 'Will Smith' and 'Wail Smithers'. If you want a exact match, remove the wildcards ('%').</p>
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