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  1. PO
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    <pre><code>SELECT pc.* FROM products_categories pc INNER JOIN products_categories_relations pcr ON (pc.category_id = pcr.category_id) INNER JOIN products p ON (pcr.product_id = p.product_id AND published = 0) EXCEPT SELECT pc.* FROM products_categories pc INNER JOIN products_categories_relations pcr ON (pc.category_id = pcr.category_id) INNER JOIN products p ON (pcr.product_id = p.product_id AND published != 0) </code></pre> <p>Essentially you query for the categories that have products with published = 0 and remove from the set all that have products with published other than 0. It will result in exactly what you need.</p> <p>Note that category with products with published = 0 is not the same as empty category. If you need empty categories as well, just make a <code>union all</code>.</p> <p>EDIT: As I was just reminded that MySQL <strong>still</strong> don't have some of the basic SQL operations here is work around:</p> <pre><code>SELECT pc.* FROM products_categories pc INNER JOIN products_categories_relations pcr ON (pc.category_id = pcr.category_id) INNER JOIN products p ON (pcr.product_id = p.product_id AND published = 0) WHERE pc.product_category_id NOT IN ( SELECT distinct pc.product_category_id FROM products_categories pc INNER JOIN products_categories_relations pcr ON (pc.category_id = pcr.category_id) INNER JOIN products p ON (pcr.product_id = p.product_id AND published != 0) ) </code></pre> <p>or you can also make it:</p> <pre><code>SELECT * FROM ( SELECT distinct pc.* FROM products_categories pc INNER JOIN products_categories_relations pcr ON (pc.category_id = pcr.category_id) INNER JOIN products p ON (pcr.product_id = p.product_id AND published = 0) ) subQ1 LEFT OUTER JOIN ( SELECT distinct pc.* FROM products_categories pc INNER JOIN products_categories_relations pcr ON (pc.category_id = pcr.category_id) INNER JOIN products p ON (pcr.product_id = p.product_id AND published != 0) ) subQ2 ON subQ1.product_category_id = subQ2.product_category_id WHERE subQ2.product_category_id IS NULL </code></pre> <p>I suspect the first should be faster but you can give a try to both.</p>
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    1. POHard SQL query - Rows with no matching in another table OR with items not published in another one
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    1. USnimdil
    1. USnimdil
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    1. COMySQL doesn't have `EXCEPT`
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      1. USBarmar
    2. COThx for your so quick answer but… EXCEPT is not supported by MySQL :(.
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      1. USPhilippe CARLE
    3. COOMG what's wrong with MySQL. It's not like this database is young. In any case you can work around it with some joins - let me edit
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      1. USnimdil
 

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