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Now there is such a table. How can we insert a large amount of data into this table?
CREATE TABLE IF NOT EXISTS `user_info` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '自增主键', `name` varchar(255) NOT NULL default '' COMMENT '姓名', `age` int(11) NOT NULL default '0' COMMENT '年龄', PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='用户信息表';
Batch insert
Method 1. Use for loop to insert
When inserting a small amount of data into mysql, we usually use for loop
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$arr = [ [ 'name' => 'testname1', 'age' => 18, ], [ 'name' => 'testname2', 'age' => 19, ], [ 'name' => 'testname3', 'age' => 18, ], ]; $servername = "localhost"; $port = 3306; $username = "username"; $password = "password"; $dbname = "mytestdb"; // 创建连接 $conn = new mysqli($servername, $username, $password, $dbname, $port); // 检测连接 if ($conn->connect_error) { die("connect failed: " . $conn->connect_error); } $costBegin = microtime(true); foreach($arr as $item) { $sql = sprintf("INSERT INTO user_info (name, age) VALUES ( '%s', %d);", $item['name'], (int)$item['age']); if ($conn->query($sql) === TRUE) { echo "insert success"; } else { echo "Error: " . $sql . "<br>" . $conn->error; } } $costEnd = microtime(true); $cost = round($costEnd - $costBegin, 3); var_dump($cost); $conn->close();
If you want to insert a large amount of data in batches, there is no problem if you also use a for loop to insert, but it will take longer. Compare inserting a small amount of data with inserting a large amount of data. The time it takes to insert using the for loop above: Number of items time (unit: seconds)
Method 2. Use the insert statement to merge Insert
In mysql, you can use the insert statement to merge and insert. For example,
INSERT INTO user_info (name, age) VALUES ('name1', 18), ('name2', 19);表示一次插入两条数据 $arr = [ [ 'name' => 'testname1', 'age' => 18, ], [ 'name' => 'testname2', 'age' => 19, ], [ 'name' => 'testname3', 'age' => 18, ], // 此处省略 …… …… ]; $servername = "localhost"; $port = 3306; $username = "username"; $password = "password"; $dbname = "mytestdb"; // 创建连接 $conn = new mysqli($servername, $username, $password, $dbname, $port); // 检测连接 if ($conn->connect_error) { die("connect failed: " . $conn->connect_error); } $costBegin = microtime(true); if (!empty($arr)) { $sql = sprintf("INSERT INTO user_info (name, age) VALUES "); foreach($arr as $item) { $itemStr = '( '; $itemStr .= sprintf("'%s', %d", $item['name'], (int)$item['age']); $itemStr .= '),'; $sql .= $itemStr; } // 去除最后一个逗号,并且加上结束分号 $sql = rtrim($sql, ','); $sql .= ';'; if ($conn->query($sql) === TRUE) { } else { echo "Error: " . $sql . "<br>" . $conn->error; } } $costEnd = microtime(true); $cost = round($costEnd - $costBegin, 3); var_dump($cost); $conn->close();
Let’s take a look at the time comparison between a small amount of data and a large amount of data. From the overall time, it can be seen that insert merge insertion saves a lot of time compared to the for loop insertion just now, and the effect is very obvious. Number of times (unit: seconds)
If you think If the array is too large, if you want to reduce the risk of SQL errors, you can also use array_chunk to cut the array into blocks of a specified size, and then merge and insert each block.
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