Connecting, Creating and using a DB, Create a Table / Collection

$link = new Mongo();       $link = mysql_connect($host, $user, $pass, 1) or die(“Could not connect to: {$host}.”);

$db = $link->testdb;         $sql = “CREATE DATABASE `$db`”; mysql_select_db($db`,$link);

$col = $db->user;               $sql = “CREATE TABLE ‘user’…;      mysql_query($sql,$link);

$col->drop();         mysql_query(DROP TABLE `$db`.`$tbl`, $link);

$db->drop();          mysql_query(DROP DATABASE `$db`, $link);

$link->close();       mysql_close($link);

Insert Data

$doc= array(‘login’ => ‘jsmith’, ‘password’ => ‘ 5f4dcc3b5aa765d61d8327deb882cf99′, ’email’ => ‘jsmith@example.com’);
mysql_query(“INSERT INTO `$tbl` SET `login`=’jsmith’,`password`=’5f4dcc3b5aa765d61d8327deb882cf99′,`email`=’jsmith@example.com'”);

$id = $doc[‘_id’];         $id = mysql_insert_id($link);

Updating Data

$col->update(array(‘_id’ => $id), array(‘$set’ => array(‘password’ => ‘b497dd1a701a33026f7211533620780d’)));

$qry = mysql_query(“UPDATE `$tbl` SET `password` = ‘b497dd1a701a33026f7211533620780d’ WHERE `id` = {$id}”, $link);

Indexing data

$col->ensureIndex(array(“login” => 1), array(“unique” => true, “dropDups” => true));

$qry = mysql_query(“ALTER TABLE `$db`.`$tbl` ADD UNIQUE `login` (`login`)”, $link);

Querying Data

$res = $col->find();                                               SELECT * FROM `$tbl`

$doc = $col->findone(array(‘_id’ => $id));          SELECT * FROM `$tbl` WHERE `id` = {$id}

$res = $col->find()->limit(1);                                SELECT * FROM `$tbl` LIMIT 1

$res = $col->find()->skip(1)->limit(1);                                         SELECT * FROM `$tbl` OFFSET 1 LIMIT 1;

$res = $col->find()->sort(array(‘login’ => -1));                            SELECT * FROM `$tbl` ORDERBY `login` DESC //-1=DESC,1=ASC

$res = $col->find(array(‘age’ => array(‘$lt’ => 30)));                   SELECT * FROM `$tbl` WHERE `age` < 30                 //$lt:<,$gt:>,$gte:>=, $lte:<=, $ne:!=

$doc = $col->find(array(’a’=>’hello’,’b’=>1));                                SELECT * FROM `$tbl` WHERE `a` = ‘hello’ AND `b`=1

$doc = $col->find(array(’a’=>’hello’,’b’=>array(’$gt’=>1)));                  SELECT * FROM `$tbl` WHERE `a` = ‘hello’ AND `b`>=1

$res = $col->find(array(‘age’ => array(‘$gte’ => 20, ‘$lte’ => 50)));              SELECT * FROM `$tbl` WHERE `age` >= 20 AND `age` <= 50

$col->remove(array(‘age’=>24),array(‘justOne’=>true,’safe’=>true));          DELETE FROM `$tbl` WHERE `login` = ‘psmith’

MongoCollection::insert(array $a,array $options)    //$a要插入的数组, $options选项:safe是否返回结果信息,fsync是否直接插入到物理硬盘

db.linlin.find({id:10})                                返回linlin数据集ID=10的数据集

db.linlin.find({id:10}).count()                             返回linlin数据集ID=10的数据总数

db.linlin.find({id:10}).limit(2)                            返回linlin数据集ID=10的数据集从第二条开始的数据集

db.linlin.find({id:10}).skip(8)                    返回linlin数据集ID=10的数据集从0到第八条的数据集

db.linlin.find({id:10}).limit(2).skip(8)      返回linlin数据集ID=1=的数据集从第二条到第八条的数据

db.linlin.find({id:10}).sort()                      返回linlin数据集ID=10的排序数据集

db.linlin.findOne([query])                        返回符合条件的一条数据

db.linlin.getDB()                                       返回此数据集所属的数据库名称

db.linlin.getIndexes()                               返回些数据集的索引信息

db.linlin.group({key:…,initial:…,reduce:…[,cond:…]})

db.linlin.mapReduce(mayFunction,reduceFunction,)

db.linlin.remove(query)                            在数据集中删除一条数据

db.linlin.renameCollection(newName)   重命名些数据集名称

db.linlin.save(obj)                                     往数据集中插入一条数据

db.linlin.stats()                                         返回此数据集的状态

db.linlin.storageSize()                              返回此数据集的存储大小

db.linlin.totalIndexSize()                          返回此数据集的索引文件大小

db.linlin.totalSize()                                   返回些数据集的总大小

db.linlin.update(query,object[,upsert_bool])    在此数据集中更新一条数据

db.linlin.validate()                                    验证此数据集