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PONested document value search in MongoDB
 

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    <p>Given the following user object in MongoDB, what would be the fastest way to search by <code>relation.$.status == 'friends'</code>?</p> <p>Need to find a way to <code>find</code> in a <code>user</code> collection's <code>relation</code> data that contains an object with a value of <code>"friends"</code> (see pseudo query below).</p> <p>The keys for this particular collection have been set to uids, so assume that the "<strong>User Data</strong>" section below may not be altered.</p> <p><strong>User Data:</strong></p> <pre><code>{ "_id": ObjectId('1a1a1a1a111a1a11a1a1a1a'), "name": "Tester", "relation": { "2b2b2b2b2b2b2b2b2b2b2b": { "status": 'friends', "status_changed_date: ISODate("2013-10-28T00:00:00.0000Z"), // etc... }, "3c3c3c3c3c3c3c3c3c3c3c": { "status": 'engaged', "status_changed_date: ISODate("2013-10-28T00:00:00.0000Z"), // etc... } } } </code></pre> <p><strong>Query:</strong></p> <pre><code>var query = { // pseudo, key-ignoring nested document search 'relation.$.status': 'friends' } var projection = { 'relation': 1 } db.user.findOne(query, projection) </code></pre> <p><strong>Desired Output:</strong></p> <pre><code>{ "2b2b2b2b2b2b2b2b2b2b2b": { "status": 'friends', "status_changed_date: ISODate("2013-10-28T00:00:00.0000Z"), // etc... } } </code></pre> <p>The obvious correction to the <em>User Data</em> structure should be making <code>relation</code> an array of objects of which contain <code>_id</code> and <code>status</code> as keys. Kinda looking for a temporary shim here.</p>
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    1. COYou're right. It will be rather simple, if `relation` property would be an array.
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