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How Can CodeIgniter Optimize MySQL Row Insertion for Large Datasets?

Linda Hamilton
Linda HamiltonOriginal
2024-12-15 09:35:14722browse

How Can CodeIgniter Optimize MySQL Row Insertion for Large Datasets?

Optimized Row Insertion Using CodeIgniter Framework

Inserting Multiple Rows Efficiently

Inserting large datasets into MySQL tables can be time-consuming if each row is inserted individually. To enhance efficiency, consider inserting approximately 1000 rows simultaneously using a single query. CodeIgniter provides the necessary functions to facilitate this process.

Utilizing Implode for Array-Based Insertion

To construct a single INSERT statement to insert multiple rows, we can leverage the implode() function with an array of row data. This approach significantly reduces unnecessary string handling and memory consumption. Here's how it works:

$sql = array();
foreach($data as $row) {
    $sql[] = '("'.mysql_real_escape_string($row['text']).'", '.$row['category_id'].')';
}
mysql_query('INSERT INTO table (text, category) VALUES '.implode(',', $sql));

Benefits of Implode-Based Insertion

Compared to concatenating values in a single string, this method efficiently builds the INSERT statement without repetitive copying. PHP performs the concatenation only once during the implode() operation, resulting in a substantial performance improvement.

Optimizing Insertion with Multiple Columns

If your table has numerous columns and one or more are lengthy, consider utilizing an inner loop to build an array of row values. Subsequently, you can employ implode() to assign the values clause to the outer array, enhancing the query's efficiency.

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