How to load large .csv into a table mysql, using PHP - php

Question

I am new to PHP
I am trying to load a large 14MB .csv into the mysql table.
But it is not fully uploaded into db, probably due to large file (~400000 rows). ERROR page took too long to respond.
Is there any faster way to do it.
My DB on Amazon RDS, PHP on EC2.
My current code is
<?php
header('Access-Control-Allow-Origin: *');
require "../config.php";
//$user_id = $_REQUEST['user_id'];
// Create connection
$conn = new mysqli($servername, $username, $password, $dbname);
// Check connection
if ($conn->connect_error) {
die("Connection failed: " . $conn->connect_error);
}
// path where your CSV file is located
define('CSV_PATH','./');
$csv_file = CSV_PATH . "data_unique.csv";
if (($handle = fopen($csv_file, "r")) !== FALSE) {
fgetcsv($handle);
while (($data = fgetcsv($handle, 1000, ",")) !== FALSE) {
$num = count($data);
for ($c=0; $c < $num; $c++) {
$col[$c] = $data[$c];
}
$col1 = $col[0];
$col2 = $col[1];
$col3 = $col[2];
$col4 = $col[3];
$col5 = $col[4];
$col6 = $col[5];
// SQL Query to insert data into DataBase
$query = "INSERT INTO uniqueid_master(autoid,package_id,unique_id,user_id,issued,book_code) VALUES('".$col1."','".$col2."','".$col3."','".$col4."','".$col5."','".$col6."')";
$result = $conn->query($query);
}
fclose($handle);
}
echo "File data successfully imported to database!!";
$conn->close();
?>

Answer 1

I think you should try LOAD DATA Mysql statement.This will be very fast since you don't have to read everything into php.
mysqli_query($dblink, '
LOAD DATA LOCAL INFILE "'.$file.'"
INTO TABLE transactions
FIELDS TERMINATED by ","
OPTIONALLY ENCLOSED BY "\'"
LINES TERMINATED BY "\n"
');
could be write like this too:
$sql = "LOAD DATA LOCAL INFILE '/path/to/file.csv'
REPLACE INTO TABLE table_name FIELDS TERMINATED BY ','
ENCLOSED BY '\"' LINES TERMINATED BY '\r\n' IGNORE 1 LINES";
$result = $mysqli->query($sql);
OR
For an alternate method : Refer to this question too

Answer 2

This will improve some of PHP performance variables.
ini_set('memory_limit','-1');
ini_set('max_execution_time', 0);
This might solve your problem. But , it could still be possible, that, you reach a memory error. In that case, divide the csv file into multiple chunks and handle them one after another.
This is a good way to handle it.
How to extract data from csv file in PHP