te')); return $arr; } /* 遍历用户所有主题 * @param $uid 用户ID * @param int $page 页数 * @param int $pagesize 每页记录条数 * @param bool $desc 排序方式 TRUE降序 FALSE升序 * @param string $key 返回的数组用那一列的值作为 key * @param array $col 查询哪些列 */ function thread_tid_find_by_uid($uid, $page = 1, $pagesize = 1000, $desc = TRUE, $key = 'tid', $col = array()) { if (empty($uid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('uid' => $uid), array('tid' => $orderby), $page, $pagesize, $key, $col); return $arr; } // 遍历栏目下tid 支持数组 $fid = array(1,2,3) function thread_tid_find_by_fid($fid, $page = 1, $pagesize = 1000, $desc = TRUE) { if (empty($fid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('fid' => $fid), array('tid' => $orderby), $page, $pagesize, 'tid', array('tid', 'verify_date')); return $arr; } function thread_tid_delete($tid) { if (empty($tid)) return FALSE; $r = thread_tid__delete(array('tid' => $tid)); return $r; } function thread_tid_count() { $n = thread_tid__count(); return $n; } // 统计用户主题数 大数量下严谨使用非主键统计 function thread_uid_count($uid) { $n = thread_tid__count(array('uid' => $uid)); return $n; } // 统计栏目主题数 大数量下严谨使用非主键统计 function thread_fid_count($fid) { $n = thread_tid__count(array('fid' => $fid)); return $n; } ?>javascript - Confusion about CPU intensive code in Node.js - Stack Overflow
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javascript - Confusion about CPU intensive code in Node.js - Stack Overflow

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A question regarding "everything runs in parallel except your code" from someone new to Node.js. This is an obviously artificial example, but let's say I want to create a math library containing a function factorize() which behaves as follows:

var http = require('http');
http.createServer(function (req, res) {
  myMath.factorize(some_big_number,function(factors) {
    res.writeHead(200, {'Content-Type': 'application/json'});
    res.end(JSON.stringify(factors));
  }
}).listen(8000);

How can this be written so that it will "run in parallel"?

I've been looking at the parsing code from this library as an example that might take some processing time. Is the body of the code considered to be "your code", or does this "run in parallel"?

If not: What do I need to do when writing factorize() so that it is also non-blocking/behaves like a client? Is using EventEmitter sufficient?

If so: Is my best option still to use child processes as suggested in this question?

Apologies in advance for any lack of clarity.

A question regarding "everything runs in parallel except your code" from someone new to Node.js. This is an obviously artificial example, but let's say I want to create a math library containing a function factorize() which behaves as follows:

var http = require('http');
http.createServer(function (req, res) {
  myMath.factorize(some_big_number,function(factors) {
    res.writeHead(200, {'Content-Type': 'application/json'});
    res.end(JSON.stringify(factors));
  }
}).listen(8000);

How can this be written so that it will "run in parallel"?

I've been looking at the parsing code from this library as an example that might take some processing time. Is the body of the code considered to be "your code", or does this "run in parallel"?

If not: What do I need to do when writing factorize() so that it is also non-blocking/behaves like a client? Is using EventEmitter sufficient?

If so: Is my best option still to use child processes as suggested in this question?

Apologies in advance for any lack of clarity.

Share Improve this question edited May 23, 2017 at 12:09 CommunityBot 11 silver badge asked Apr 19, 2011 at 16:44 YXDYXD 32.5k15 gold badges78 silver badges116 bronze badges 1
  • I don't have an answer but I understand the question, so I suppose it's clear enough for most people. :) – zneak Commented Apr 19, 2011 at 16:48
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3 Answers 3

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Actually you can't run it "parallel" (unless you use a workers module) as JavaScript in node.js is executed in single thread but you can split your single thread into smaller pieces. For example with process.nextTick, so when the CPU is executing the code as smaller chunks instead of one long running code, it has small breaks to run other things as well.

myLongRunningCode(callback){
    do_a_piece_of_the_work();
    if(ready){
        callback();
    }else{
        // give the CPU a small break to do other things
        process.nextTick(function(){
            // continue working
            myLongRunningCode(callback);
        });
    }
}

To write non blocking code you have to do message passing.

To do message passing you have to open a stream and pass messages through it. This involves talking to some other process or talking to a sub process.

You can create child processes to do heavy lifting for you in node or you can create a tcp/web service to do heavy lifting for you. Just get node to pass messages to them and then send data down your response when the external processes have done the heavy lifting.

all your JS code can NOT run in parallel. There are never multiple functions executed at the same time. CPU intensive code would make your program unable to do something else until this code ends.

I remend you to split your code with setTimeout or do your job in a separate process. But this must be REALLY intensive code ;)

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