How Can Parallel Curl Requests Enhance Performance for Multiple JSON Data Retrieval?

PHP Parallel Curl Requests: Enhancing Performance for Multiple JSON Data Retrieval

Conventional approaches for fetching multiple JSON data using file_get_contents() can be time-consuming due to its sequential nature. In this article, we explore a more efficient solution using parallel curl requests.

The given code demonstrates a typical approach, sequentially iterating through a list of URLs, fetching JSON data from each URL, and storing it in an array. However, this method can hinder performance, especially when dealing with a significant number of URLs.

To overcome this issue, we can leverage multi-curl requests. Multi-curl is a technique that allows for parallel execution of multiple curl requests simultaneously. This approach significantly speeds up the process by eliminating the need to wait for each request to complete before initiating the next one.

The provided code snippet offers an implementation of multi-curl requests:

$nodes = array($url1, $url2, $url3);
$node_count = count($nodes);

$curl_arr = array();
$master = curl_multi_init();

for($i = 0; $i < $node_count; $i++)
{
    $url =$nodes[$i];
    $curl_arr[$i] = curl_init($url);
    curl_setopt($curl_arr[$i], CURLOPT_RETURNTRANSFER, true);
    curl_multi_add_handle($master, $curl_arr[$i]);
}

do {
    curl_multi_exec($master,$running);
} while($running > 0);

for($i = 0; $i < $node_count; $i++)
{
    $results[] = curl_multi_getcontent  ( $curl_arr[$i]  );
}
print_r($results);

In summary, parallel curl requests offer a substantial performance improvement for fetching multiple JSON data from different URLs. This technique is especially beneficial when working with a large number of URLs, as it minimizes the waiting time between requests, leading to faster data retrieval.

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