在Play 2.x中配置actor的正确方法是什么?

时间:2013-05-12 12:48:11

标签: scala playframework playframework-2.0 akka playframework-2.1

我注意到2.1和2.0的文档之间略有不同:

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 documentationcore-pool-size-max设置为2.0,但没有像pool-size-max那样的2.1。为什么这在2.0和2.1之间变化?在Play中配置Akka的正确方法是什么?这是其中一个版本的文档错误吗?

(与此同时,我将尝试在我的Play 2.1配置中坚持使用两种配置样式并希望获得最佳效果。)

1 个答案:

答案 0 :(得分:1)

首先,请始终使用您正在使用的版本的文档,如果您要链接到未发布的Akka版本(即快照)的快照文档。

以下是2.1.2文档:http://doc.akka.io/docs/akka/2.1.2/scala/dispatchers.html(也可从doc.akka.io访问)

当我们查看该页面时,我们看到在fork-join-executor和thread-pool-executor的示例配置下,它说:“有关更多选项,请参阅default-dispatcher部分配置。“,链接到:

我们可以找到的地方:

  # 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
  }

总而言之,如果要使用ThreadPoolExecutor,"thread-pool-executor",则需要将default-dispatcher设置为使用akka.default-dispatcher.executor = "thread-pool-executor",然后为该线程池执行程序指定配置。

这有帮助吗?

干杯, √