How can PHP efficiently handle large datasets with varying column names across multiple suppliers in CSV files?

When handling large datasets with varying column names across multiple suppliers in CSV files, one approach is to dynamically read the headers of the CSV files and map them to a standard set of column names. This can be achieved by creating a mapping array that maps the supplier-specific column names to the standard column names. Then, when processing each row of the CSV file, you can use this mapping array to access the data based on the standard column names. 

<?php

// Define a mapping array to map supplier-specific column names to standard column names
$columnMapping = [
    'supplier_column_1' => 'standard_column_1',
    'supplier_column_2' => 'standard_column_2',
    // Add more mappings as needed
];

// Open the CSV file for reading
$csvFile = fopen('data.csv', 'r');

// Read the headers of the CSV file
$headers = fgetcsv($csvFile);

// Process each row of the CSV file
while (($data = fgetcsv($csvFile)) !== false) {
    // Map the data to standard column names using the mapping array
    $rowData = [];
    foreach ($data as $key => $value) {
        $standardColumnName = $columnMapping[$headers[$key]];
        $rowData[$standardColumnName] = $value;
    }

    // Process the row data
    // Example: Insert data into a database
    // insertIntoDatabase($rowData);
}

// Close the CSV file
fclose($csvFile);

?>

Keywords

PHP large datasets CSV files varying column names data processing data manipulation

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