Parallel requests with Guzzle Async

Can you share some of the code you implemented?, maybe you are not handling concurrency correctly. Also maybe that's someting to handle with Laravel jobs and queues.

Hello, @franciscool004 !

This is my function. So the time is the same slowly even I do the requests in a concurrent way. For 30 requests last minutes. My goal is to send 30 requests once, like from 30 different computers and to load the content in 10 seconds, like for a single request.

<?php

use GuzzleHttp\Promise;
use GuzzleHttp\Client;

class Elasticsearch
{
    
    public static function getDataByHash($hash)
    {
        $client = new Client(['base_uri' => 'My ELASTIC SEARCH URL]);

        //here will be 30 requests on 30 different indexes
        $promises = [
            'data1' => $client->getAsync('/index01/_search?q=hash:'.$hash),
            'data2'   => $client->getAsync('/index02/_search?q=hash:'.$hash),
            'data3'  => $client->getAsync('/index03/_search?q=hash:'.$hash),
            'data4'  => $client->getAsync('/index04/_search?q=hash:'.$hash)
        ];

        $responses = Promise\settle($promises)->wait();
        $convertToJson = json_decode($responses['data1']['value']->getBody());
        $convertToJson = json_encode($convertToJson);

        echo $convertToJson;
    }

}

I hope there is just a wrong approach from me. :)) Thank you!

@solvando did you find a solution for the problem? I'm thinking about refactoring a synchronous request into several async, but I'm not sure if I'm actually going to save computational time. Thanks