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RabbitMQ vs GAE(RabbitMQ vs GAE)

 我正在编写一个实时交换消息的实时移动游戏，我想知道我应该选择什么：RabbitMQ或GAE。 我知道GAE是一个有效的解决方案，因为几乎所有东西都已经实现，所以我的编程速度更快，但从长远来看，我不知道我是否愿意支付那么高的价格 - 所以它归结为实现我自己的服务器上的其他一些消息交换服务，所以我在考虑RabbitMQ。  
 令我担心的是，RabbitMQ节点可以添加到集群中，但如果GAE使用1.000个实例，那么处理相同负载需要多少RabbitMQ节点，因为我真的不希望在一个节点中拥有1.000个节点集群，这意味着我必须租用1.000 VPS。  
 所以，这就是为什么我要确定处理100万用户需要多少兔子节点（在集群中）。 我正在尝试将其与Google Appengine Instances进行比较。 假设我在GAE上的应用程序应该处理以下内容： - 10.000个请求/秒 - 运行1000个实例  
 我知道我们无法真正比较这些，但无论如何我们都要这样做。 我想知道以下问题：  
 1.我想处理10.000个请求/秒（每个请求需要一个至少需要1-10分钟的永久连接）：  
 a）为了可行，需要多少个GAE实例？  
 b）RabbitMQ需要群集中有多少个节点才能工作？  
 2.我希望与具有1.000 GAE实例的RabbitMQ进行比较：  
 a）1个GAE实例与RabbitMQ中的1个群集节点相比可以做多少工作？  
 你会选择什么：  
 a）我知道你们都会说GAE，因为它很容易，已经准备好等等。  
 b）但是，我们是否愿意支付所有这些费用。 更不用说谷歌有一些限制因为作者在这里谈论它们： http ： //www.carlosble.com/2010/11/goodbye-google-app-engine-gae/ 。  
 感谢所有有价值的答案 

I'm programming a real-time mobile game that exchanges messages in real time and I would like to know what should I choose from: RabbitMQ or GAE. I know that GAE is a solution that works and makes my programming much faster since almost everything is already implemented, but on a long run I don't know if I'm willing to pay those really high prices - so it comes down to implementing some other message exchange service on my own servers, so I'm thinking about RabbitMQ. 
The thing that worries me is that the RabbitMQ nodes can be added to a cluster, but if GAE uses 1.000 instances, how much RabbitMQ nodes would it take to handle the same load, because I really don't want to have 1.000 nodes in a cluster, which means I have to rent 1.000 VPSs. 
So, that is why I'm trying to determine how much rabbitmq nodes (in a cluster) would it take to handle 1 million of users. I'm trying to compare that to Google Appengine Instances. Let's say my application on GAE should process the following: - 10.000 requests/second - 1000 instances running  
I know we can't really compare those, but let's do it anyway. I want to know the following questions: 
1. I want to handle 10.000 requests/s (each request needs to be a permanent connection that takes at least 1-10 minutes): 
a) How many GAE instances would be needed for that to be feasible? 
b) How many nodes in a cluster would be needed with RabbitMQ for it to work? 
2. I want a comparison to RabbitMQ with 1.000 GAE instances: 
a) How much work can 1 GAE instance do compared to 1 cluster node in RabbitMQ? 
3. What would you choose: 
a) I know you'll all say GAE, because it's really easy, already is prepared, etc. 
b) But then again, are we willing to pay all that. Not to mention that Google has some restrictions as the author is talking about them here: http://www.carlosble.com/2010/11/goodbye-google-app-engine-gae/ .  
Thanks for all the valuable answers

原文：https://stackoverflow.com/questions/11338034

更新时间：2022-12-27 17:12

最满意答案

 创建的列表必须包含用于分隔每个项目的空格。 但它不是那个特定列表的元素。 您需要在打印前将列表转换为最终的字符串。 在计算每个数字的平方之间，需要将数字转换为int 。 因此，您可以对该数字执行数学运算，因为在获取数字时，它将被取为字符串而不是整数。 map函数将函数应用于iterable中的每个元素并返回结果列表。 因此map(str,x)会将列表x中的每个元素转换为字符串，因为您无法打印整数+字符串是最终的。  
def Squaring():
  List = eval(input(": "))
  r = []
  for i in List:
    r.append(int(i) ** 2)

  return r

def main():
  x = Squaring()
  print('[' + ','.join(map(str, x)) + ']')

main()

Created list must contain spaces to separate each item. But it's not the element of that particular list. You need to convert the list to a string at the final before printing. In-between for calculating the square of each number, you need to convert the number to int. So that you could do the mathematical operation on that number because while fetching the number, it would be fetched as string not integer. map function will apply a function to each element in the iterable and return a list of the results. So map(str,x) will convert each element in the list x to string because you can't print integer + strings are the final. 
def Squaring():
  List = eval(input(": "))
  r = []
  for i in List:
    r.append(int(i) ** 2)

  return r

def main():
  x = Squaring()
  print('[' + ','.join(map(str, x)) + ']')

main()

RabbitMQ vs GAE(RabbitMQ vs GAE)

最满意答案

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