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    <p>You would have to use aggregate() with a double $unwind, like this:</p> <pre><code>db.test.aggregate([ // filter for documents with x=1 // note: this will use an index, if defined on "nested_documents.x" //{ $match: { "nested_documents.x": 1 } }, // reduce data to nested_documents, as other fields are not considered { $project: { nested_documents: 1 } }, // flatten the outer array { $unwind: "$nested_documents" }, // filter for nested_documents with x=1 // note that at this point nested_documents is no longer an array //{ $match: { "nested_documents.x": 1 } }, // flatten the inner array { $unwind: "$nested_documents.info" }, // filter for nested_documents.info.name = "sachin" // note that at this point nested_documents.info is no longer an array { $match: { "nested_documents.info.name": "sachin" } }, // format output: re-create inner array { $group: { _id: { id: "$_id", nested_documents: { x: "$nested_documents.x", y: "$nested_documents.y" } }, info: { $push: "$nested_documents.info" } } }, { $project: { "nested_documents.x": "$_id.nested_documents.x", "nested_documents.y": "$_id.nested_documents.y", "nested_documents.info": "$info" } }, // format output: re-create outer array { $group: { _id: "$_id.id", nested_documents: { $push: "$nested_documents" } } }, ]) </code></pre> <p>note: I put in as //comments the logic to filter for x=1 as you had in a previous example</p> <p>and the result is:</p> <pre><code>{ "result" : [ { "_id" : ObjectId("515d873457a0887a97cc8d19"), "nested_documents" : [ { "x" : 4, "y" : 3, "info" : [ { "name" : "sachin", "value" : "test" }, { "name" : "sachin", "value" : "test" } ] }, { "x" : 1, "y" : 2, "info" : [ { "name" : "sachin", "value" : "test" }, { "name" : "sachin", "value" : "test" } ] } ] } ], "ok" : 1 } </code></pre> <p>For more information on aggregate, refer to <a href="http://docs.mongodb.org/manual/applications/aggregation/" rel="nofollow">http://docs.mongodb.org/manual/applications/aggregation/</a></p>
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