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    <p>By "taxonomy", are you hoping to store arbitrary key/value pairs for each document and later query by those values? You may find <a href="http://hexane.org/blog/2011/05/16/mongodb-content-taxonomy-schema/" rel="nofollow">MongoDB Content Taxonomy Schema</a> a useful resource.</p> <p>The gist is that top-level document will have a field containing an array of zero or more objects. Each of those objects will contain the key and value in their own fields. You can then create a <a href="http://docs.mongodb.org/manual/core/indexes/#compound-indexes" rel="nofollow">compound</a>, <a href="http://docs.mongodb.org/manual/core/indexes/#multikey-indexes" rel="nofollow">multi-key index</a> on the key/value fields within the array. Although compound, multi-key indexes cannot include multiple array fields (things could quickly get out of hand with indexing the <a href="http://en.wikipedia.org/wiki/Cartesian_product" rel="nofollow">Cartesian product</a> of elements from each array), in this case we're indexing two fields within the same array.</p> <p>To use your example data, you might have the following:</p> <pre><code>&gt; db.foo.insert({ filename: "sample.htm", taxonomy: [ { k: "author", v: "Bob Smith" }, { k: "title", v: "Java Syllabus" } ] }); &gt; db.foo.ensureIndex({ "taxonomy.k": 1, "taxonomy.v": 1 }); </code></pre> <p>Per the examples in the linked blog post, you could query by key/value criteria, using <a href="http://docs.mongodb.org/manual/reference/operator/elemMatch/" rel="nofollow"><code>$elemMatch</code></a> to ensure the key/value are both contained in the same array element.</p>
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