第一種方法：使用insert into 插入

從Redis每次獲取100條數據，根據條件去插入到Mysql數據庫中：

條件：

如果當前隊列中的值大于1000條，則會自動的條用該方法，該方法每次獲取從隊列的頭部每次獲取100掉數據插入到Mysql數據庫中，同時以當前隊列的長度為插入條件。

1000為原始數據，從隊列頭獲取100條，插入到Mysql數據，同時刪除已經插入的數據，再通過隊列的長度判斷是否繼續插入，直到循環不滿足條件為止。

[1]獲取頭100條數據：$redis->lRange($liveKey,0,99)

[2]刪除頭100條數據：$redis->lTrim($liveKey, 100, -1);

[1]獲取當前隊列長度：$redis->lLen($liveKey);

public functionredisSaveMysqlAction()

{$liveKey = $this->request->getQuery('liveKey');if(empty($liveKey)){$result = array("errcode" => 500, "errmsg" => "this parameter is empty!");return $this->toJson($result);

}$redis = new\Redis();$redis->connect('1.1.2.16', '6379');$redisInfo = $redis->lRange($liveKey,0,99);

$dataLength = $redis->lLen($liveKey);while($dataLength > 200) {try{$this->db->begin();foreach ($redisInfo as $action) {$sql = "INSERT INTO livecomment (liveId,username,createTime,userId,content) VALUES (?, ? ,?,? ,?)";$this->db->execute($sql, array(

json_decode($action,true)['roomId'],json_decode($action,true)['userName'],json_decode($action,true)['createTime'],json_decode($action,true)['userId'],json_decode($action,true)['content'],));

}$redis->set('message_insert_success', '1');$redis->lTrim($liveKey, 100, -1);$redisInfo = $redis->lRange($liveKey,0,99); // 這句也要重新的獲取，不然就會插入重復的數據，也就是獲取刪除后的數據$dataLength = $redis->lLen($liveKey); //注意這句一定要加上的，做為下一次的判斷標準，當插入完后和刪除后，重新獲取列表的長度，作為條件依據$redis->set('dataLength_backenk', $dataLength);$this->db->commit();

}catch (\Exception $e) {$redis->set('message_insert_fail', '0');$this->db->rollback();

}

}$redis->set('log'.$liveKey,$redis->incr('request_counts'));$result = array("errcode" => 200, "errmsg" => "Data Insert into Success!",'data'=>'dataLength:'.$dataLength.'liveKey:'.$liveKey);return $this->toJson($result);

第二種方法：使用優化SQL語句：將SQL語句進行拼接，使用 insert into table () values? (),(),(),()然后再一次性插入，如果字符串太長,則需要配置下MYSQL，在mysql 命令行中運行 ：set global max_allowed_packet =? 2*1024*1024*10;

拼接后的字符串：

'insert into twenty_million (value) values('50'),('50'),('50'),('50'),('50'),('50'),('50'),('50'),('50'),('50')'

實際案例：

/**

* 獲取Redis數據批量的保存到Redis中去解析Redis數據的json格式*/

public functionRedisSaveToMysqlJsonAction()

{$redis = RedisInstance::getInstance();$redis->select(1);$redisInfo = $redis->lRange('message01',0,9999);$dataLength = $redis->lLen('message01');$redis->set('dataLength_front',$dataLength);$t1=microtime(true);while($dataLength > 20000) {try{$this->db->begin();$sql = "INSERT INTO stream_name (name,createTime,userId,content) VALUES";foreach ($redisInfo as $action) {$sql .= "('" . json_decode($action, true)['userName'] . "',

'" . json_decode($action, true)['createTime'] . "',

'" . json_decode($action, true)['userId'] . "',

'" . json_decode($action, true)['content'] . "'),";

}$sql = rtrim($sql, ',');$this->db->execute($sql);$redis->lTrim('message01', 10000, -1);$redisInfo = $redis->lRange('message01',0,9999);$dataLength = $redis->lLen('message01');$this->db->commit();

}catch (\Exception $e) {$redis->set('message_catch', json_encode($e));$this->db->rollback();

}

}echo 'ENDTIME:'.(microtime(true)-$t1)."
";echo 'success';die;

}

輸出結果為：

ENDTIME:3.0146479606628(s)success