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                ### mysql大批量插入數據四種方法 #### 方法一:循環插入 ``` for($i=1;$i<=100;$i++){ $sql = 'insert...............'; //querysql } foreach($arr as $key => $value){ $sql = 'insert...............'; //querysql } while($i <= 100){ $sql = 'insert...............'; //querysql $i++ } ``` #### 方法二:減少連接資源,拼接一條sql 偽代碼如下 //這里假設arr的key和數據庫字段同步,其實大多數框架中在php操作數據庫的時候都是這么設計的 $arr_keys = array_keys($arr); $sql = 'INSERT INTO tablename (' . implode(',' ,$arr_keys) . ') values'; $arr_values = array_values($arr); $sql .= " ('" . implode("','" ,$arr_values) . "'),"; $sql = substr($sql ,0 ,-1); //拼接之后大概就是 INSERT INTO tablename ('username','password') values ('xxx','xxx'),('xxx','xxx'),('xxx','xxx'),('xxx','xxx'),('xxx','xxx'),('xxx','xxx') ....... //querysql 這樣寫正常插入一萬條基本問題不大,除非數據很長,應付普通的批量插入夠用了,比如:批量生成卡號,批量生成隨機碼等等。。。 #### 方法三:使用存儲過程 ``` delimiter $$$ create procedure zqtest() begin declare i int default 0; set i=0; start transaction; while i<80000 do //your insert sql set i=i+1; end while; commit; end $$$ delimiter; call zqtest(); ``` 這個也只是個測試代碼,具體參數大家自行定義 我這里是一次插入8萬條,雖然不多但是,每一條數據量都很大,有很多varchar4000 和text字段 耗時 6.524s #### 方法四:使用MYSQL LOCAL_INFILE ``` //設置pdo開啟MYSQL_ATTR_LOCAL_INFILE /*hs96.cn@gmail.com public function pdo_local_info () { global $system_dbserver; $dbname = 'hs96.cn@gmail.com'; $ip = 'hs96.cn@gmail.com'; $user = 'hs96.cn@gmail.com'; $pwd = 'hs96.cn@gmail.com'; $dsn = 'mysql:dbname=' . $dbname . ';host=' . $ip . ';port=3306'; $options = [PDO::MYSQL_ATTR_LOCAL_INFILE => true]; $db = new PDO($dsn ,$user ,$pwd ,$options); return $db; } //偽代碼如下 public function test(){ $arr_keys = array_keys($arr); $root_dir = $_SERVER["DOCUMENT_ROOT"] . '/'; $my_file = $root_dir . "hs96.cn@gmail.com/sql_cache/" . $order['OrderNo'] . '.sql'; $fhandler = fopen($my_file,'a+'); if ($fhandler) { $sql = implode("\t" ,$arr); $i = 1; while ($i <= 80000) { $i++; fwrite($fhandler ,$sql . "\r\n"); } $sql = "LOAD DATA local INFILE '" . $myFile . "' INTO TABLE "; $sql .= "tablename (" . implode(',' ,$arr_keys) . ")"; $pdo = $this->pdo_local_info (); $res = $pdo->exec($sql); if (!$res) { //TODO 插入失敗 } @unlink($my_file); } } ``` 這個同樣每一條數據量都很大,有很多varchar4000 和text字段 耗時 2.160s
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