在Play 2.x中配置actor的正确方法是什么？

Question

我注意到了2.1和2.0的文档之间存在细微的差别：

2.0

akka.default-dispatcher.core-pool-size-max = 64 
akka.debug.receive = on 

2.1

akka.default-dispatcher.fork-join-executor.pool-size-max =64 
akka.actor.debug.receive = on 

Akka's own documentation有core-pool-size-max设置像2.0，但没有pool-size-max像2.1。为什么在2.0和2.1之间变化？在Play中配置Akka的正确方法是？这是一个版本中的文档错误吗？ （同时，我将尝试在我的Play 2.1配置中保留两种配置样式，并希望最好）。

Answer 1

首先，在您要链接到未发布的Akka版本快照文档（即快照）的情况下，请始终使用您正在使用的版本的文档。

这里的2.1.2文档：http://doc.akka.io/docs/akka/2.1.2/scala/dispatchers.html（也doc.akka.io访问）

当我们看那个页面，我们可以看到下的fork-join-执行和线程例如配置-pool执行人它说：“更多选项，请参阅配置的默认调度部分。”，链接：

我们在哪里可以找到：

# This will be used if you have set "executor = "thread-pool-executor"" 
    thread-pool-executor { 
    # Keep alive time for threads 
    keep-alive-time = 60s 

    # Min number of threads to cap factor-based core number to 
    core-pool-size-min = 8 

    # The core pool size factor is used to determine thread pool core size 
    # using the following formula: ceil(available processors * factor). 
    # Resulting size is then bounded by the core-pool-size-min and 
    # core-pool-size-max values. 
    core-pool-size-factor = 3.0 

    # Max number of threads to cap factor-based number to 
    core-pool-size-max = 64 

    # Minimum number of threads to cap factor-based max number to 
    # (if using a bounded task queue) 
    max-pool-size-min = 8 

    # Max no of threads (if using a bounded task queue) is determined by 
    # calculating: ceil(available processors * factor) 
    max-pool-size-factor = 3.0 

    # Max number of threads to cap factor-based max number to 
    # (if using a bounded task queue) 
    max-pool-size-max = 64 

    # Specifies the bounded capacity of the task queue (< 1 == unbounded) 
    task-queue-size = -1 

    # Specifies which type of task queue will be used, can be "array" or 
    # "linked" (default) 
    task-queue-type = "linked" 

    # Allow core threads to time out 
    allow-core-timeout = on 
    } 

因此得出结论，您需要设置defau lt-dispatcher使用"thread-pool-executor"如果要使用ThreadPoolExecutor，则使用akka.default-dispatcher.executor = "thread-pool-executor"，然后指定该线程池执行程序的配置。

这有帮助吗？

干杯， √