MongoDB::command Execute a database command &reftitle.description; public arrayMongoDB::command arraycommand arrayoptionsarray() Almost everything that is not a CRUD operation can be done with a database command. Need to know the database version? There's a command for that. Need to do aggregation? There's a command for that. Need to turn up logging? You get the idea. This method is identical to: selectCollection('$cmd')->findOne($data); } ?> ]]> &reftitle.parameters; command The query to send. options This parameter is an associative array of the form array("optionname" => <boolean>, ...). Currently supported options are: &mongo.writes.parameters.timeout; &reftitle.changelog; &Version; &Description; 1.2.0 Added options parameter with a single option: "timeout". &reftitle.returnvalues; Returns database response. Every database response is always maximum one document, which means that the result of a database command can never exceed 16MB. The resulting document's structure depends on the command, but most results will have the ok field to indicate success or failure and results containing an array of each of the resulting documents. &reftitle.examples; <function>MongoDB::command</function> "distinct" example Finding all of the distinct values for a key. people; $people->insert(array("name" => "Joe", "age" => 4)); $people->insert(array("name" => "Sally", "age" => 22)); $people->insert(array("name" => "Dave", "age" => 22)); $people->insert(array("name" => "Molly", "age" => 87)); $ages = $db->command(array("distinct" => "people", "key" => "age")); foreach ($ages['values'] as $age) { echo "$age\n"; } ?> ]]> &example.outputs.similar; 4 22 87 <function>MongoDB::command</function> "distinct" example Finding all of the distinct values for a key, where the value is larger than or equal to 18. people; $people->insert(array("name" => "Joe", "age" => 4)); $people->insert(array("name" => "Sally", "age" => 22)); $people->insert(array("name" => "Dave", "age" => 22)); $people->insert(array("name" => "Molly", "age" => 87)); $ages = $db->command( array( "distinct" => "people", "key" => "age", "query" => array("age" => array('$gte' => 18)) ) ); foreach ($ages['values'] as $age) { echo "$age\n"; } ?> ]]> &example.outputs.similar; 22 87 <function>MongoDB::command</function> MapReduce example Get all users with at least on "sale" event, and how many times each of these users has had a sale. insert(array("user_id" => $id, "type" => $type, "time" => new MongoDate(), "desc" => $description)); // construct map and reduce functions $map = new MongoCode("function() { emit(this.user_id,1); }"); $reduce = new MongoCode("function(k, vals) { ". "var sum = 0;". "for (var i in vals) {". "sum += vals[i];". "}". "return sum; }"); $sales = $db->command(array( "mapreduce" => "events", "map" => $map, "reduce" => $reduce, "query" => array("type" => "sale"), "out" => array("merge" => "eventCounts"))); $users = $db->selectCollection($sales['result'])->find(); foreach ($users as $user) { echo "{$user['_id']} had {$user['value']} sale(s).\n"; } ?> ]]> &example.outputs.similar; User 47cc67093475061e3d9536d2 had 3 sale(s). User 49902cde5162504500b45c2c had 14 sale(s). User 4af467e4fd543cce7b0ea8e2 had 1 sale(s). Using <classname>MongoCode</classname> This example uses MongoCode, which can also take a scope argument. However, at the moment, MongoDB does not support using scopes in MapReduce. If you would like to use client-side variables in the MapReduce functions, you can add them to the global scope by using the optional scope field with the database command. See the MapReduce documentation for more information. The <literal>out</literal> argument Before 1.8.0, the out argument was optional. If you did not use it, MapReduce results would be written to a temporary collection, which would be deleted when your connection was closed. In 1.8.0+, the out argument is required. See the MapReduce documentation for more information. If you are going to be using MapReduce, Prajwal Tuladhar created an API for Mongo PHP users which provides a nicer interface than the bare command. You can download it from Github and there is a blog post on how to use it. <function>MongoDB::command</function> "textSearch" example Do a fulltext search lookup with MongoDB's 2.4 and higher "text search" functionality. demo; $c = $d->planets; $c->insert(array("name" => "Mercury", "desc" => "Mercury is the smallest and closest to the Sun")); $c->insert(array("name" => "Venus", "desc" => "Venus is the second planet from the Sun, orbiting it every 224.7 Earth days.")); $c->insert(array("name" => "Earth", "desc" => "Earth is the densest of the eight planets in the Solar System.")); $c->insert(array("name" => "Mars", "desc" => "Mars is named after the Roman god of war.")); $c->ensureIndex(array('desc' => 'text')); $r = $d->command(array("text" => "planets", 'search' => "sun" )); print_r($r); ?> ]]> &example.outputs.similar; Array ( [queryDebugString] => sun|||||| [language] => english [results] => Array ( [0] => Array ( [score] => 0.625 [obj] => Array ( [_id] => MongoId Object ( [$id] => 517549d944670a4a5cb3059a ) [name] => Mercury [desc] => Mercury is the smallest and closest to the Sun ) ) [1] => Array ( [score] => 0.55 [obj] => Array ( [_id] => MongoId Object ( [$id] => 517549d944670a4a5cb3059b ) [name] => Venus [desc] => Venus is the second planet from the Sun, orbiting it every 224.7 Earth days. ) ) ) [stats] => Array ( [nscanned] => 2 [nscannedObjects] => 0 [n] => 2 [nfound] => 2 [timeMicros] => 95 ) [ok] => 1 ) <function>MongoDB::command</function> "geoNear" example This example shows how to use the geoNear command. demo; $c = $d->poiConcat; $r = $d->command(array( 'geoNear' => "poiConcat", // Search in the poiConcat collection 'near' => array(-0.08, 51.48), // Search near 51.48°N, 0.08°E 'spherical' => true, // Enable spherical search 'num' => 5, // Maximum 5 returned documents )); print_r($r); ?> ]]> &reftitle.seealso; MongoCollection::aggregate MongoCollection::findAndModify MongoCollection::group MongoDB core docs on database commands and on individual commands: findAndModify, getLastError, and repairDatabase (dozens more exist, there are merely a few examples).