How Insert to Mysql Many Rows Using Php?

12 minutes read

To insert multiple rows into a MySQL database using PHP, you can follow these steps:

  1. Connect to the MySQL database using the mysqli or PDO extension in PHP.
  2. Prepare an SQL INSERT statement that specifies the table name and the columns you want to insert data into.
  3. Use a loop or an array to generate the values for each row that you want to insert.
  4. Execute the INSERT statement with the generated values for each row.
  5. Close the database connection.


Here's an example of how you can accomplish this:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
<?php
// Step 1: Connect to the MySQL database
$servername = "localhost";
$username = "your_username";
$password = "your_password";
$dbname = "your_database";

$conn = new mysqli($servername, $username, $password, $dbname);

// Check connection
if ($conn->connect_error) {
    die("Connection failed: " . $conn->connect_error);
}

// Step 2: Prepare the INSERT statement
$sql = "INSERT INTO your_table_name (column1, column2, column3) VALUES (?, ?, ?)";

// Step 3: Generate the values for each row
$rows = [
    ['value1', 'value2', 'value3'],
    ['value4', 'value5', 'value6'],
    ['value7', 'value8', 'value9']
];

// Step 4: Execute the INSERT statement for each row
$stmt = $conn->prepare($sql);

foreach ($rows as $row) {
    $stmt->bind_param("sss", $row[0], $row[1], $row[2]);
    $stmt->execute();
}

$stmt->close();

// Step 5: Close the database connection
$conn->close();
?>


Replace your_username, your_password, your_database, your_table_name, column1, column2, column3 with your actual database credentials and table structure. Adjust the $rows array to match the values you want to insert into your table.


This example uses the mysqli extension, but you can achieve the same functionality using the PDO extension with a few modifications.

Best PHP Books to Read in 2024

1
Learning PHP, MySQL & JavaScript: A Step-by-Step Guide to Creating Dynamic Websites (Learning PHP, MYSQL, Javascript, CSS & HTML5)

Rating is 5 out of 5

Learning PHP, MySQL & JavaScript: A Step-by-Step Guide to Creating Dynamic Websites (Learning PHP, MYSQL, Javascript, CSS & HTML5)

2
Murach's PHP and MySQL

Rating is 4.9 out of 5

Murach's PHP and MySQL

3
PHP 8 Objects, Patterns, and Practice: Mastering OO Enhancements, Design Patterns, and Essential Development Tools

Rating is 4.8 out of 5

PHP 8 Objects, Patterns, and Practice: Mastering OO Enhancements, Design Patterns, and Essential Development Tools

4
PHP & MySQL: Server-side Web Development

Rating is 4.7 out of 5

PHP & MySQL: Server-side Web Development

5
PHP Cookbook: Modern Code Solutions for Professional Developers

Rating is 4.6 out of 5

PHP Cookbook: Modern Code Solutions for Professional Developers

6
100 PHP Program Examples | Best for Beginners | PHP Programming Book

Rating is 4.5 out of 5

100 PHP Program Examples | Best for Beginners | PHP Programming Book

7
PHP 8 Programming Tips, Tricks and Best Practices: A practical guide to PHP 8 features, usage changes, and advanced programming techniques

Rating is 4.4 out of 5

PHP 8 Programming Tips, Tricks and Best Practices: A practical guide to PHP 8 features, usage changes, and advanced programming techniques

8
PHP Web Services: APIs for the Modern Web

Rating is 4.3 out of 5

PHP Web Services: APIs for the Modern Web

9
Front-End Back-End Development with HTML, CSS, JavaScript, jQuery, PHP, and MySQL

Rating is 4.2 out of 5

Front-End Back-End Development with HTML, CSS, JavaScript, jQuery, PHP, and MySQL

10
Programming PHP: Creating Dynamic Web Pages

Rating is 4.1 out of 5

Programming PHP: Creating Dynamic Web Pages


How can I insert large amounts of data into MySQL using PHP efficiently?

There are several ways to efficiently insert large amounts of data into MySQL using PHP:

  1. Use Prepared Statements: Prepared statements allow you to prepare the SQL statement once and execute it multiple times with different parameter values. This reduces the overhead of parsing and optimizing the SQL statement for each execution. It also provides a level of protection against SQL injections.
  2. Batch Inserting: Instead of executing each insert query individually, you can group multiple insert statements into a single query using the "INSERT INTO ... VALUES (), (), ..." syntax. For example:
1
INSERT INTO table_name (column1, column2) VALUES (value1, value2), (value3, value4), ...


By inserting multiple rows at once, you reduce the number of round trips to the database, improving efficiency.

  1. Use Transactions: Wrap your insert statements within a transaction to improve performance. Begin a transaction before the first insert and commit it after the last insert. This way, the database engine can optimize and process the entire bulk insert operation as a single transaction, enhancing efficiency.
  2. Reduce Indexes and Constraints: If your table has multiple indexes and constraints, consider disabling or dropping them temporarily before inserting the data and then rebuilding them afterwards. This can significantly improve the insert speed for large data sets.
  3. Use MySQL's LOAD DATA INFILE: If your data is in a file, you can use MySQL's LOAD DATA INFILE statement instead of individual insert queries. This statement allows you to directly load data from a file into a table in a much faster way.
  4. Increase Memory Limits: Adjust PHP's memory_limit configuration in php.ini to accommodate large datasets. This ensures that PHP has enough memory to handle the data being processed.
  5. Use Data Serialization: Serialize your data into a single string and insert it into a single column, especially when dealing with complex or multi-dimensional data. This reduces the number of columns and the number of insert statements required.


Remember to optimize your database structure if necessary, such as enabling query caching and optimizing indexes, as these can significantly impact insertion performance.


How to use PHP to insert multiple rows into MySQL?

To insert multiple rows into a MySQL database using PHP, you can use a loop to iterate through a set of data and execute multiple INSERT queries.


Here's an example code snippet:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
<?php
// Connect to MySQL database
$servername = "localhost";
$username = "your_username";
$password = "your_password";
$dbname = "your_database";

$conn = new mysqli($servername, $username, $password, $dbname);
if ($conn->connect_error) {
    die("Connection failed: " . $conn->connect_error);
}

// Array of data to insert
$data = array(
    array('John Doe', 'john@example.com'),
    array('Jane Smith', 'jane@example.com'),
    array('Bob Johnson', 'bob@example.com')
);

// Prepare and execute the insert query
$stmt = $conn->prepare("INSERT INTO users (name, email) VALUES (?, ?)");
foreach ($data as $row) {
    $stmt->bind_param("ss", $row[0], $row[1]);
    $stmt->execute();
}

// Close the prepared statement and database connection
$stmt->close();
$conn->close();
?>


In this example, we establish a connection to the MySQL database using the mysqli class. Next, we define an array called $data which contains the rows to be inserted. The $data array is a multidimensional array, with each nested array representing a single row with the necessary column values.


We then prepare an INSERT query statement using the prepare method of the mysqli class. Inside the loop, we bind the parameter values for each row using the bind_param method and execute the query using the execute method.


Finally, we close the prepared statement and the database connection.


Make sure to replace your_username, your_password, your_database, users, name, and email with your actual database credentials and table/column names.


How to insert multiple rows into MySQL from a CSV file using PHP?

To insert multiple rows into MySQL from a CSV file using PHP, you can follow these steps:

  1. Establish a connection to the MySQL database. You can use the mysqli_connect function to connect to the database. Make sure to provide the correct credentials for the database host, username, password, and database name.
1
$connection = mysqli_connect('localhost', 'username', 'password', 'database');


  1. Open the CSV file using the fopen function and read its contents using fgetcsv. Specify the path to the CSV file you want to read.
1
$file = fopen('path_to_csv_file.csv', 'r');


  1. Loop through the CSV file and insert each row into the MySQL database. Use the mysqli_query function to execute the insert query.
1
2
3
4
5
6
7
while (($row = fgetcsv($file)) !== false) {
    $column1 = $row[0]; // Assuming the first column in the CSV is column1
    $column2 = $row[1]; // Assuming the second column in the CSV is column2

    $query = "INSERT INTO table_name (column1, column2) VALUES ('$column1', '$column2')";
    mysqli_query($connection, $query);
}


Make sure to replace table_name, column1, and column2 with the appropriate names in your database.

  1. Close the CSV file and the database connection.
1
2
fclose($file);
mysqli_close($connection);


Note: It's important to sanitize and validate the data before inserting it into the database to prevent SQL injection attacks. You can use prepared statements or sanitize the input using mysqli_real_escape_string.

Facebook Twitter LinkedIn Telegram Whatsapp Pocket

Related Posts:

In d3.js, you can insert an element after a sibling element by using the insert() method along with the nextSibling property. Here&#39;s how you can do it:Select the sibling element that you want to insert after using the select() method.Use the insert() metho...
In order to connect to a MySQL database using PHP, you can follow the following steps:First, you need to have PHP installed on your server or local machine.Next, you need to ensure that the MySQL extension is enabled in your PHP installation. You can check thi...
To connect a Spring Boot application to a MySQL database, you need to follow these steps:Include MySQL Connector dependency: In your Spring Boot application&#39;s pom.xml file, add the MySQL Connector dependency to enable the application to communicate with th...