How to import CSV files into MongoDB with PHP

How to import CSV files into MongoDB with PHP

MongoDB is a very popular NoSQL database, and CSV files are a common data format. In practical applications, we often need to import data from CSV files into MongoDB for storage and query. This article will introduce how to import CSV files into MongoDB using PHP, with code examples.

First, we need to prepare a CSV file. Assume that the path of the file is "/path/to/file.csv", and the first line of the file is the field name, and the other lines are data records. Next, we will write PHP code to read the CSV file and import it into MongoDB.

The first step is to connect to MongoDB. You can use MongoDB's official driver library MongoDBDriverManager to achieve this. The specific code is as follows:

$manager = new MongoDBDriverManager("mongodb://localhost:27017");

Among them, "mongodb://localhost:27017" is the connection address of the MongoDB service, which can be modified accordingly according to the actual situation.

The second step is to read the data in the CSV file and convert it to MongoDB's document format. You can use PHP's built-in function fgetcsv() to read a CSV file line by line. The specific code is as follows:

$file = fopen('/path/to/file.csv', 'r');
$headers = fgetcsv($file);

while (($data = fgetcsv($file)) !== false) {
    $document = array_combine($headers, $data);

    // 以下代码用于插入文档到MongoDB
    $bulk = new MongoDBDriverBulkWrite;
    $bulk->insert($document);
    $manager->executeBulkWrite('db.collection', $bulk);
}

fclose($file);

In the third step, we need to execute the above code to import the data in the CSV file into MongoDB. It should be noted that the above code can only be imported once. If you need to import or update data frequently, you can optimize it according to the actual situation.

To sum up, this article introduces the method of using PHP to import CSV files into MongoDB and provides corresponding code examples. Through this method, we can easily import the data in the CSV file into MongoDB for storage and query, thereby meeting the needs of practical applications. I hope this article can be helpful to readers.

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