我想让各个进程（或节点）上运行的actor向其他运行不同进程（或节点）的actor发送消息，同时保持容错和负载平衡。我目前正在尝试使用Akka.Cluster的Sharding功能来实现这一目标。
但是，我不知道如何做到这一点......
我有以下代码反映了我的种子节点：
let configurePort port =
let config = Configuration.parse ("""
akka {
actor {
provider = "Akka.Cluster.ClusterActorRefProvider, Akka.Cluster"
serializers {
hyperion = "Akka.Serialization.HyperionSerializer, Akka.Serialization.Hyperion"
}
serialization-bindings {
"System.Object" = hyperion
}
}
remote {
helios.tcp {
public-hostname = "localhost"
hostname = "localhost"
port = """ + port.ToString() + """
}
}
cluster {
auto-down-unreachable-after = 5s
seed-nodes = [ "akka.tcp://cluster-system@localhost:2551/" ]
}
persistence {
journal.plugin = "akka.persistence.journal.inmem"
snapshot-store.plugin = "akka.persistence.snapshot-store.local"
}
}
""")
config.WithFallback(ClusterSingletonManager.DefaultConfig())
let consumer (actor:Actor<_>) msg = printfn "\n%A received %s" (actor.Self.Path.ToStringWithAddress()) msg |> ignored
// spawn two separate systems with shard regions on each of them
let system1 = System.create "cluster-system" (configurePort 2551)
let shardRegion1 = spawnSharded id system1 "shardRegion1" <| props (actorOf2 consumer)
System.Threading.Thread.Sleep(1000)
let system2 = System.create "cluster-system" (configurePort 2552)
let shardRegion2 = spawnSharded id system2 "shardRegion2" <| props (actorOf2 consumer)
System.Threading.Thread.Sleep(1000)
let system3 = System.create "cluster-system" (configurePort 2553)
let shardRegion3 = spawnSharded id system3 "shardRegion3" <| props (actorOf2 consumer)
System.Threading.Thread.Sleep(3000)
// NOTE: Even thou we sent all messages through single shard region,
// some of them will be executed on the second and third one thanks to shard balancing
System.Threading.Thread.Sleep(3000)
shardRegion1 <! ("shard-1", "entity-1", "hello world 1")
shardRegion1 <! ("shard-1", "entity-2", "hello world 2")
shardRegion1 <! ("shard-2", "entity-3", "hello world 3")
shardRegion1 <! ("shard-2", "entity-4", "hello world 4")
System.Threading.Thread.Sleep(1000)
let printShards shardRegion =
async {
let! (reply:AskResult<ShardRegionStats>) = (retype shardRegion) <? GetShardRegionStats.Instance
let (stats: ShardRegionStats) = reply.Value
for kv in stats.Stats do
printfn "\tShard '%s' has %d entities on it" kv.Key kv.Value
} |> Async.RunSynchronously
let printNodes() =
printfn "\nShards active on node 'localhost:2551':"
printShards shardRegion1
printfn "\nShards active on node 'localhost:2552':"
printShards shardRegion2
printfn "\nShards active on node 'localhost:2553':"
printShards shardRegion3
printNodes()
输出如下所示：
Shards active on node 'localhost:2551':
Shard 'shard-1' has 2 entities on it
Shard 'shard-2' has 2 entities on it
在节点'localhost：2552'上激活的碎片：
然后我有一个执行以下代码的单独进程：
let configurePort port =
let config = Configuration.parse ("""
akka {
actor {
provider = "Akka.Cluster.ClusterActorRefProvider, Akka.Cluster"
serializers {
hyperion = "Akka.Serialization.HyperionSerializer, Akka.Serialization.Hyperion"
}
serialization-bindings {
"System.Object" = hyperion
}
}
remote {
helios.tcp {
public-hostname = "localhost"
hostname = "localhost"
port = "0"
}
}
cluster {
auto-down-unreachable-after = 5s
seed-nodes = [ "akka.tcp://cluster-system@localhost:2551/" ]
}
persistence {
journal.plugin = "akka.persistence.journal.inmem"
snapshot-store.plugin = "akka.persistence.snapshot-store.local"
}
}
""")
config.WithFallback(ClusterSingletonManager.DefaultConfig())
let consumer (actor:Actor<_>) msg = printfn "\n%A received %s" (actor.Self.Path.ToStringWithAddress()) msg |> ignored
// spawn two separate systems with shard regions on each of them
let system1 = System.create "cluster-system" (configurePort 2554)
let shardRegion1 = spawnSharded id system1 "printer" <| props (actorOf2 consumer)
System.Threading.Thread.Sleep(1000)
let system2 = System.create "cluster-system" (configurePort 2555)
let shardRegion2 = spawnSharded id system2 "printer" <| props (actorOf2 consumer)
System.Threading.Thread.Sleep(1000)
let system3 = System.create "cluster-system" (configurePort 2556)
let shardRegion3 = spawnSharded id system3 "printer" <| props (actorOf2 consumer)
我的群集系统（在单独的进程上运行）识别正在加入的新节点：
> [INFO][3/15/2017 9:12:13 PM][Thread 0054][[akka://cluster-system/system/cluster/core/daemon#2086121649]] Node [akka.tcp://cluster-system@localhost:52953] is JOINING, roles []
[INFO][3/15/2017 9:12:14 PM][Thread 0006][[akka://cluster-system/system/cluster/core/daemon#2086121649]] Node [akka.tcp://cluster-system@localhost:52956] is JOINING, roles []
[INFO][3/15/2017 9:12:15 PM][Thread 0054][[akka://cluster-system/system/cluster/core/daemon#2086121649]] Node [akka.tcp://cluster-system@localhost:52961] is JOINING, roles []
[INFO][3/15/2017 9:12:18 PM][Thread 0055][[akka://cluster-system/system/cluster/core/daemon#2086121649]] Leader is moving node [akka.tcp://cluster-system@localhost:52953] to [Up]
[INFO][3/15/2017 9:12:18 PM][Thread 0055][[akka://cluster-system/system/cluster/core/daemon#2086121649]] Leader is moving node [akka.tcp://cluster-system@localhost:52956] to [Up]
[INFO][3/15/2017 9:12:18 PM][Thread 0055][[akka://cluster-system/system/cluster/core/daemon#2086121649]] Leader is moving node [akka.tcp://cluster-system@localhost:52961] to [Up]
结论：
总之，我希望让各个进程（或节点）上运行的actor向其他运行不同进程（或节点）的actor发送消息，同时保持容错和负载平衡。我目前正在尝试使用Akka.Cluster的Sharding功能来实现这一目标。
附录
open System
open System.IO
#if INTERACTIVE
let cd = Path.Combine(__SOURCE_DIRECTORY__, "../src/Akkling.Cluster.Sharding/bin/Debug")
System.IO.Directory.SetCurrentDirectory(cd)
#endif
#r "../src/Akkling.Cluster.Sharding/bin/Debug/System.Collections.Immutable.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akka.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Hyperion.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Newtonsoft.Json.dll"
#r @"C:\Users\Snimrod\Documents\Visual Studio 2015\Projects\Temp\packages\Akka.FSharp.1.1.3\lib\net45\Akka.FSharp.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/FSharp.PowerPack.Linq.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Helios.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/FsPickler.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Google.ProtocolBuffers.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Google.ProtocolBuffers.Serialization.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akka.Remote.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Google.ProtocolBuffers.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akka.Persistence.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akka.Cluster.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akka.Cluster.Tools.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akka.Cluster.Sharding.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akka.Serialization.Hyperion.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akkling.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akkling.Persistence.dll"
#r "../src/Akkling.Cluster.Sharding/bin/Debug/Akkling.Cluster.Sharding.dll"
open Akka.Actor
open Akka.Configuration
open Akka.Cluster
open Akka.Cluster.Tools.Singleton
open Akka.Cluster.Sharding
open Akka.Persistence
open Akkling
open Akkling.Persistence
open Akkling.Cluster
open Akkling.Cluster.Sharding
open Hyperion
答案 0 :(得分：4)
为了保持分片及其位置的一致视图，Akka.Cluster.Sharding持久后端必须指向所有进程都可见的数据库。在您的配置中，您使用的是akka.persistence.journal.inmem内存数据存储（仅用于测试和开发）。它不会从其他进程中看到。
您需要配置持久后端，以便在生活在不同计算机/进程上的节点之间显示分片。你可以这样做，即使用Akka.Persistence.SqlServer或任何其他插件。这是仅通过分片使用的持久性后端的最基本配置：
akka.persistence {
journal {
plugin = "akka.persistence.journal.sql-server"
sql-server {
connection-string = "<connection-string>"
auto-initialize = on
}
}
snapshot-store {
plugin = "akka.persistence.snapshot-store.sql-server"
sql-server {
connection-string = "<connection-string>"
auto-initialize = on
}
}
}
有关更实用的内容，请参阅this article。
另请注意，Akka.Cluster.Sharding和Akka.Persistence插件仅在预发布模式下可用（因此您需要使用-pre标志安装包）。