You can do a queue with a generator:
var totalTasks = 1000000;
var nTasks = 0;
// Generate data to send to query
var getData = (function() {
var i = 0;
return function() {
i++;
return {
number: i
};
};
})();
// Create the task running each time
var task = function(data, done) {
nTasks++;
console.log("Make task", nTasks);
doQuery(data, done);
};
// Create queue with a limit concurrency
var queue = async.queue(task, 10); // <- parallels queries*
// The callback execute each task was execute
var cb = function(err) {
if (err) throw err;
// Add new tasks to queue if is neccesary
if (nTasks < totalTasks && queue.length() < queue.concurrency) {
queue.push(getData(), cb);
}
};
var i;
// Add the first x tasks to queue
for (i = 0; i < queue.concurrency; i++) {
queue.push(getData(), cb);
}
- You need to consider the size of the connections pool, or the number of max current proccess of MySQL.