StackOverflow2013

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16388537
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0
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2013-05-05T19:57:42.573
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2013-05-05T19:57:42.573
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426671
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16388155
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2
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3
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text
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In order to get the data into your columns, you can use an aggregate function with a <code>CASE</code> expression to convert the row data into columns. If your <code>fields</code> are known ahead of time, then you can hard-code the values in your query: <pre><code>select u.id, u.username, max(case when f.name = 'firstname' then uf.value end) firstname, max(case when f.name = 'lastname' then uf.value end) lastname from user u left join ( select uf1.* from user_fields uf1 inner join ( select max(date) maxDate, user_id, fields_id from user_fields group by user_id, fields_id ) uf2 on uf1.date = uf2.maxdate and uf1.user_id = uf2.user_id and uf1.fields_id = uf2.fields_id ) uf on u.id = uf.user_id left join fields f on uf.fields_id = f.id group by u.id, u.username; </code></pre> See <a href="http://www.sqlfiddle.com/#!2/43822/8" rel="nofollow">SQL Fiddle with Demo</a> But since you are going to have unknown fields, then you will need to use a <a href="http://buysql.com/mysql/14-how-to-automate-pivot-tables.html" rel="nofollow">prepared statement</a> to generate dynamic SQL to execute. The syntax will be similar to this: <pre><code>SET @sql = NULL; SELECT GROUP_CONCAT(DISTINCT CONCAT( 'max(CASE WHEN f.name = ''', name, ''' THEN uf.value END) AS `', name, '`' ) ) INTO @sql FROM fields; SET @sql = CONCAT('SELECT u.id, u.username, ', @sql, ' from user u left join ( select uf1.* from user_fields uf1 inner join ( select max(date) maxDate, user_id, fields_id from user_fields group by user_id, fields_id ) uf2 on uf1.date = uf2.maxdate and uf1.user_id = uf2.user_id and uf1.fields_id = uf2.fields_id ) uf on u.id = uf.user_id left join fields f on uf.fields_id = f.id group by u.id, u.username'); PREPARE stmt FROM @sql; EXECUTE stmt; DEALLOCATE PREPARE stmt; </code></pre> See <a href="http://www.sqlfiddle.com/#!2/43822/9" rel="nofollow">SQL Fiddle with Demo</a>
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A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.