To continue testing the benchmarking capabilities offered by PHP, I will first perform a simple comparison between fetching rows from the sample "USERS" database table that you saw in the previous article and retrieving the same data, but this time coming from a flat text file. In doing so, it'll be possible to determine which approach is faster, depending on the benchmarking conditions (remember that all the examples will be tested on a local server). Given that, first let me show you the script that fetches rows from the mentioned database table in conjunction with the corresponding classes used by the code snippet listed below. Take a look, please: // define 'Timer' class class Timer{ private $elapsedTime; // start timer public function start(){ if(!$this->elapsedTime=$this->getMicrotime()){ throw new Exception('Error obtaining start time!'); } } // stop timer public function stop(){ if(!$this->elapsedTime=round($this->getMicrotime()-$this->elapsedTime,5)){ throw new Exception('Error obtaining stop time!'); } return $this->elapsedTime; } //define private 'getMicrotime()' method private function getMicrotime(){ return microtime(true); } } // define 'MySQL' class class MySQL{ private $conId; private $host; private $user; private $password; private $database; private $result; const OPTIONS=4; public function __construct($options=array()){ if(count($options)!=self::OPTIONS){ throw new Exception('Invalid number of connection parameters'); } foreach($options as $parameter=>$value){ if(!$value){ throw new Exception('Invalid parameter '.$parameter); } $this->{$parameter}=$value; } $this->connectDB(); } // connect to MySQL private function connectDB(){ if(!$this->conId=mysql_connect($this->host,$this->user,$this->password)){ throw new Exception('Error connecting to the server'); } if(!mysql_select_db($this->database,$this->conId)){ throw new Exception('Error selecting database'); } } // run query public function query($query){ if(!$this->result=mysql_query($query,$this->conId)){ throw new Exception('Error performing query '.$query); } return new Result($this,$this->result); } } // define 'Result' class class Result { private $mysql; private $result; public function __construct($mysql,$result){ $this->mysql=$mysql; $this->result=$result; } // fetch row public function fetchRow(){ return mysql_fetch_assoc($this->result); } // count rows public function countRows(){ if(!$rows=mysql_num_rows($this->result)){ throw new Exception('Error counting rows'); } return $rows; } // count affected rows public function countAffectedRows(){ if(!$rows=mysql_affected_rows($this->mysql->conId)){ throw new Exception('Error counting affected rows'); } return $rows; } // get ID form last-inserted row public function getInsertID(){ if(!$id=mysql_insert_id($this->mysql->conId)){ throw new Exception('Error getting ID'); } return $id; } // seek row public function seekRow($row=0){ if(!is_int($row)||$row<0){ throw new Exception('Invalid result set offset'); } if(!mysql_data_seek($this->result,$row)){ throw new Exception('Error seeking data'); } } } try{ // instantiate 'Timer' class $timer=new Timer(); // start timer $timer->start(); // connect to MySQL $db=new MySQL(array $result=$db->query('SELECT * FROM users'); while($row=$result->fetchRow()){ echo 'ID: '.$row['id'].' Name: '.$row['name'].' Email: '.$row['email'].'<br />'; } // stop timer $elapsedTime=$timer->stop(); // display elapsed time echo 'Time spent in fetching database rows was '.$elapsedTime.' seconds'; } catch(Exception $e){ echo $e->getMessage(); exit(); } /* displays the following: ID: 1 Name: user1 Email: user1@domain.com ID: 2 Name: user2 Email: user2@domain.com ID: 3 Name: user3 Email: user3@domain.com ID: 4 Name: user4 Email: user4@domain.com ID: 5 Name: user5 Email: user5@domain.com ID: 6 Name: user6 Email: user6@domain.com ID: 7 Name: user7 Email: user7@domain.com ID: 8 Name: user8 Email: user8@domain.com ID: 9 Name: user9 Email: user9@domain.com ID: 10 Name: user10 Email: user10@domain.com Time spent in fetching database rows was 0.00544 seconds In this case, you can see that the process for retrieving the ten rows stored in the above "USERS" database table took approximately 0.0054 seconds. The program demonstrates how easy it is to benchmark a particular script by using the "Timer" class listed above. Well, now that you know how long it took to retrieve the previous rows from the respective database table, let's find out if the above performance test can be improved by retrieving the same records from a flat file. Sounds pretty interesting, doesn't it? Therefore, if you want to learn how this benchmarking test will be performed, jump into the following section and keep reading.
blog comments powered by Disqus |
|
|
|
|
|
|
|