You can however implement your own 
akka.cluster.sharding.ShardCoordinator.ShardAllocationStrategy which will 
allow you to take whatever you want into account, and deal with the 
consequences thereof ofc ;) 

--
Johan

On Friday, August 5, 2016 at 12:04:12 AM UTC+2, Justin du coeur wrote:
>
> It does do reassignment -- but it has to know to do that.  Keep in mind 
> that "down" is the master switch here: until the node is downed, the rest 
> of the system doesn't *know* that NodeA should be avoided.  I haven't dug 
> into that particular code, but I assume from what you're saying that the 
> allocation algorithm doesn't take unreachability into account when choosing 
> where to allocate the shard, just up/down.  I suspect that unreachability 
> is too local and transient to use as the basis for these allocations.
>
> Keep in mind that you're looking at this from a relatively all-knowing 
> global perspective, but each node is working from a very localized and 
> imperfect one.  All it knows is "I can't currently reach NodeA".  It has no 
> a priori way of knowing whether NodeA has been taken offline (so it should 
> be avoided), or there's simply been a transient network glitch between here 
> and there (so things are *mostly* business as usual).  Downing is how you 
> tell it, "No, really, stop using this node"; until then, most of the code 
> assumes that the more-common transient situation is the case.  It's 
> *probably* possible to take unreachability into account in the case you're 
> describing, but it doesn't surprise me if that's not true.
>
> Also, keep in mind that, IIRC, there are a few cluster singletons involved 
> here, at least behind the scenes.  If NodeA currently owns one of the key 
> singletons (such as the ShardCoordinator), and it hasn't been downed, I 
> imagine the rest of the cluster is going to *quickly* lock up, because the 
> result is that nobody is authorized to make these sorts of allocation 
> decisions.
>
> All that said -- keep in mind, I'm just a user of this stuff, and am 
> talking at the edges of my knowledge.  Konrad's the actual expert...
>
> On Thu, Aug 4, 2016 at 4:59 PM, Eric Swenson <e...@swenson.org> wrote:
>
>> While I'm in the process of implementing your proposed solution, I did 
>> want to make sure I understood why I'm seeing the failures I'm seeing when 
>> a node is taken offline, auto-down is disabled, and no one is handling the 
>> UnreachableNode message.  Let me try to explain what I think is happening 
>> and perhaps you (or someone else who knows more about this than I) can 
>> confirm or refute.
>>
>> In the case of akka-cluster-sharding, a shard might exist on the 
>> unreachable node.  Since the node is not yet marked as "down", the cluster 
>> simply cannot handle an incoming message for that shard.  To create another 
>> sharded actor on an available cluster node might duplicate the unreachable 
>> node state.  In the case of akka-persistence actors, even though a new 
>> shard actor could resurrect any journaled state, we cannot be sure that the 
>> old unreachable node might not at any time, add other events to the 
>> journal, or come online and try to continue operating on the shard.
>>
>> Is that the reason why I see the following behavior:  NodeA is online.  
>> NodeB comes online and joins the cluster.  A request comes in from 
>> akka-http and is sent to the shard region.  It goes to NodeA which creates 
>> an actor to handle the sharded object.  NodeA is taken offline (unbeknownst 
>> to the akka-cluster).  Another message for the above-mentioned shard comes 
>> in from akka-http and is sent to the shard region. The shard region can't 
>> reach NodeA.  NodeA isn't marked as down.  So the shard region cannot 
>> create another actor (on an available Node). It can only wait (until 
>> timeout) for NodeA to become reachable.  Since, in my scenario, NodeA will 
>> never become reachable and NodeB is the only one online, all requests for 
>> old shards timeout.
>>
>> If the above logic is true, I have one last issue:  In the above 
>> scenario, if a message comes into the shard region for a shard that WOULD 
>> HAVE BEEN allocated to NodeA but has never yet been assigned to an actor on 
>> NodeA, and NodeA is unreachable, why can it simply be assigned to another 
>> Node?  is it because the shard-to-node algorithm is fixed (by default) and 
>> there is no dynamic ability to "reassign" to an available Node? 
>>
>> Thanks again.  -- Eric
>>
>> On Wednesday, August 3, 2016 at 7:00:42 PM UTC-7, Justin du coeur wrote:
>>>
>>> The keyword here is "auto".  Autodowning is an *incredibly braindead* 
>>> algorithm for dealing with nodes coming out of service, and if you use it 
>>> in production you more or less guarantee disaster, because that algorithm 
>>> can't cope with cluster partition.  You *do* need to deal with downing, but 
>>> you have to get something smarter than that.
>>>
>>> Frankly, if you're already hooking into AWS, I *suspect* the best 
>>> approach is to leverage that -- when a node goes offline, you have some 
>>> code to detect that through the ECS APIs, react to it, and manually down 
>>> that node.  (I'm planning on something along those lines for my system, but 
>>> haven't actually tried yet.)  But whether you do that or something else, 
>>> you've got to add *something* that does downing.
>>>
>>> I believe the official party line is "Buy a Lightbend Subscription", 
>>> through which you can get their Split Brain Resolver, which is a fairly 
>>> battle-hardened module for dealing with this problem.  That's not strictly 
>>> necessary, but you *do* need to have a reliable solution...
>>>
>>> On Wed, Aug 3, 2016 at 8:42 PM, Eric Swenson <er...@swenson.org> wrote:
>>>
>>>> We have an akka-cluster/sharding application deployed an AWS/ECS, where 
>>>> each instance of the application is a Docker container.  An ECS service 
>>>> launches N instances of the application based on configuration data.  It 
>>>> is 
>>>> not possible to know, for certain, the IP addresses of the cluster 
>>>> members.  Upon startup, before the AkkaSystem is created, the code 
>>>> currently polls AWS and determines the IP addresses of all the Docker 
>>>> hosts 
>>>> (which potentially could run the akka application).  It sets these IP 
>>>> addresses as the seed nodes before bringing up the akka cluster system. 
>>>> The 
>>>> configuration for these has, up until yesterday always included the 
>>>> akka.cluster.auto-down-unreachable-after configuration setting.  And it 
>>>> has 
>>>> always worked.  Furthermore, it supports two very critical requirements:
>>>>
>>>> a) an instance of the application can be removed at any time, due to 
>>>> scaling or rolling updates
>>>> b) an instance of the application can be added at any time, due to 
>>>> scaling or rolling updates
>>>>
>>>> On the advice of an Akka expert on the Gitter channel, I removed the 
>>>> auto-down-unreachable-after setting, which, as documented, is dangerous 
>>>> for 
>>>> production.  As a result the system no longer supports rolling updates.  A 
>>>> rolling update occurs thus:  a new version of the application is deployed 
>>>> (a new ECS task definition is created with a new Docker image).  The ECS 
>>>> service launches a new task (Docker container running on an available 
>>>> host) 
>>>> and once that container becomes stable, it kills one of the remaining 
>>>> instances (cluster members) to bring the number of instances to some 
>>>> configured value.  
>>>>
>>>> When this happens, akka-cluster becomes very unhappy and becomes 
>>>> unresponsive.  Without the auto-down-unreachable-after setting, it keeps 
>>>> trying to talk to the old cluster members. which is no longer present.  It 
>>>> appears to NOT recover from this.  There is a constant barrage of messages 
>>>> of the form:
>>>>
>>>> [DEBUG] [08/04/2016 00:19:27.126] 
>>>> [ClusterSystem-cassandra-plugin-default-dispatcher-27] 
>>>> [akka.actor.LocalActorRefProvider(akka://ClusterSystem)] resolve of path 
>>>> sequence [/system/sharding/ExperimentInstance#-389574371] failed
>>>> [DEBUG] [08/04/2016 00:19:27.140] 
>>>> [ClusterSystem-cassandra-plugin-default-dispatcher-27] 
>>>> [akka.actor.LocalActorRefProvider(akka://ClusterSystem)] resolve of path 
>>>> sequence [/system/sharding/ExperimentInstance#-389574371] failed
>>>> [DEBUG] [08/04/2016 00:19:27.142] 
>>>> [ClusterSystem-cassandra-plugin-default-dispatcher-27] 
>>>> [akka.actor.LocalActorRefProvider(akka://ClusterSystem)] resolve of path 
>>>> sequence [/system/sharding/ExperimentInstance#-389574371] failed
>>>> [DEBUG] [08/04/2016 00:19:27.143] 
>>>> [ClusterSystem-cassandra-plugin-default-dispatcher-27] 
>>>> [akka.actor.LocalActorRefProvider(akka://ClusterSystem)] resolve of path 
>>>> sequence [/system/sharding/ExperimentInstance#-389574371] failed
>>>> [DEBUG] [08/04/2016 00:19:27.143] 
>>>> [ClusterSystem-cassandra-plugin-default-dispatcher-27] 
>>>> [akka.actor.LocalActorRefProvider(akka://ClusterSystem)] resolve of path 
>>>> sequence [/system/sharding/ExperimentInstance#-389574371] failed
>>>>
>>>> and of the form:
>>>>
>>>> [WARN] [08/04/2016 00:19:16.787] 
>>>> [ClusterSystem-akka.actor.default-dispatcher-9] [akka.tcp://
>>>> ClusterSystem@10.0.3.103:2552/system/sharding/ExperimentInstance] 
>>>> Retry request for shard [5] homes from coordinator at [Actor[akka.tcp://
>>>> ClusterSystem@10.0.3.100:2552/system/sharding/ExperimentInstanceCoordinator/singleton/coordinator#1679517511]].
>>>>  
>>>> [1] buffered messages.
>>>> [WARN] [08/04/2016 00:19:18.787] 
>>>> [ClusterSystem-akka.actor.default-dispatcher-9] [akka.tcp://
>>>> ClusterSystem@10.0.3.103:2552/system/sharding/ExperimentInstance] 
>>>> Retry request for shard [23] homes from coordinator at [Actor[akka.tcp://
>>>> ClusterSystem@10.0.3.100:2552/system/sharding/ExperimentInstanceCoordinator/singleton/coordinator#1679517511]].
>>>>  
>>>> [1] buffered messages.
>>>> [WARN] [08/04/2016 00:19:18.787] 
>>>> [ClusterSystem-akka.actor.default-dispatcher-9] [akka.tcp://
>>>> ClusterSystem@10.0.3.103:2552/system/sharding/ExperimentInstance] 
>>>> Retry request for shard [1] homes from coordinator at [Actor[akka.tcp://
>>>> ClusterSystem@10.0.3.100:2552/system/sharding/ExperimentInstanceCoordinator/singleton/coordinator#1679517511]].
>>>>  
>>>> [1] buffered messages.
>>>> [WARN] [08/04/2016 00:19:18.787] 
>>>> [ClusterSystem-akka.actor.default-dispatcher-9] [akka.tcp://
>>>> ClusterSystem@10.0.3.103:2552/system/sharding/ExperimentInstance] 
>>>> Retry request for shard [14] homes from coordinator at [Actor[akka.tcp://
>>>> ClusterSystem@10.0.3.100:2552/system/sharding/ExperimentInstanceCoordinator/singleton/coordinator#1679517511]].
>>>>  
>>>> [1] buffered messages.
>>>> [WARN] [08/04/2016 00:19:18.787] 
>>>> [ClusterSystem-akka.actor.default-dispatcher-9] [akka.tcp://
>>>> ClusterSystem@10.0.3.103:2552/system/sharding/ExperimentInstance] 
>>>> Retry request for shard [5] homes from coordinator at [Actor[akka.tcp://
>>>> ClusterSystem@10.0.3.100:2552/system/sharding/ExperimentInstanceCoordinator/singleton/coordinator#1679517511]].
>>>>  
>>>> [1] buffered messages.
>>>>
>>>> and then a message like this:
>>>>
>>>> [WARN] [08/03/2016 23:50:34.690] 
>>>> [ClusterSystem-akka.remote.default-remote-dispatcher-11] [akka.tcp://
>>>> ClusterSystem@10.0.3.103:2552/system/endpointManager/reliableEndpointWriter-akka.tcp%3A%2F%2FClusterSystem%4010.0.3.100%3A2552-0]
>>>>  
>>>> Association with remote system [akka.tcp://
>>>> ClusterSystem@10.0.3.100:2552] has failed, address is now gated for 
>>>> [5000] ms. Reason: [Association failed with [akka.tcp://
>>>> ClusterSystem@10.0.3.100:2552]] Caused by: [Connection refused: /
>>>> 10.0.3.100:2552]
>>>>
>>>> The 10.0.3.100 host is the one that was taken out of service.  The 
>>>> 10.0.3.103 host is the remaining instance (to narrow down the issue, we 
>>>> have one node, to which a second was added and then the first removed).  
>>>>
>>>> But the fact remains that no messages to the sharding region are 
>>>> handled -- they all timeout like this:
>>>>
>>>> [ERROR] [08/03/2016 23:50:35.821] 
>>>> [ClusterSystem-akka.actor.default-dispatcher-6] 
>>>> [akka.actor.ActorSystemImpl(ClusterSystem)] Error during processing of 
>>>> request HttpRequest(HttpMethod(POST),
>>>> http://eim.dev.genecloud.com/eim/v1/experimentinstance,List(Host: 
>>>> eim.dev.genecloud.com, X-Real-Ip: 10.0.3.157, X-Forwarded-For: 
>>>> 10.0.3.157, Connection: upgrade, Accept-Encoding: gzip, deflate, Accept: 
>>>> */*, User-Agent: python-requests/2.10.0, Accept-Type: application/json, 
>>>> Authorization: Bearer 9wDoBBnbzD7XHmWt8Qk-OaanGlaHPzul8PQrnzPrwW4, 
>>>> Timeout-Access: 
>>>> <function1>),HttpEntity.Strict(application/json,{}),HttpProtocol(HTTP/1.1))
>>>> akka.pattern.AskTimeoutException: Ask timed out on 
>>>> [Actor[akka://ClusterSystem/system/sharding/ExperimentInstance#-
>>>> 2107641834]] after [10000 ms]. Sender[null] sent message of type 
>>>> "com.genecloud.eim.ExperimentInstance$Commands$NewExperimentInstanceV1".
>>>> at 
>>>> akka.pattern.PromiseActorRef$$anonfun$1.apply$mcV$sp(AskSupport.scala:604)
>>>> at akka.actor.Scheduler$$anon$4.run(Scheduler.scala:126)
>>>> at 
>>>> scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:601)
>>>> at 
>>>> scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:109)
>>>> at 
>>>> scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:599)
>>>> at 
>>>> akka.actor.LightArrayRevolverScheduler$TaskHolder.executeTask(LightArrayRevolverScheduler.scala:331)
>>>> at 
>>>> akka.actor.LightArrayRevolverScheduler$$anon$4.executeBucket$1(LightArrayRevolverScheduler.scala:282)
>>>> at 
>>>> akka.actor.LightArrayRevolverScheduler$$anon$4.nextTick(LightArrayRevolverScheduler.scala:286)
>>>> at 
>>>> akka.actor.LightArrayRevolverScheduler$$anon$4.run(LightArrayRevolverScheduler.scala:238)
>>>> at java.lang.Thread.run(Thread.java:745)
>>>>
>>>> And even though the cluster of one node (10.0.3.103) should be 
>>>> perfectly able to handle messages from akka-http, it doesn't.  They all 
>>>> timeout.  And the barrage of unhappy messages continues forever.  It never 
>>>> recovers and the service cannot handle any akka-http requests that send 
>>>> messages to the cluster-sharing region.
>>>>
>>>> I "fixed" everything, by simply adding back 
>>>> the auto-down-unreachable-after parameter.  Now, when a new node comes 
>>>> into 
>>>> the cluster, it is recognized and used, and when an old node is removed 
>>>> from the cluster, after the configured time period, it is removed the 
>>>> cluster and everything is happy again.
>>>>
>>>> What is the recommended way to deal with cluster nodes being added and 
>>>> removed outside the control of the application?
>>>>
>>>> -- Eric
>>>>
>>>> -- 
>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>> >>>>>>>>>> Check the FAQ: 
>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>> >>>>>>>>>> Search the archives: 
>>>> https://groups.google.com/group/akka-user
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>>>
>>> -- 
>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>> >>>>>>>>>> Check the FAQ: 
>> http://doc.akka.io/docs/akka/current/additional/faq.html
>> >>>>>>>>>> Search the archives: https://groups.google.com/group/akka-user
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>
>

-- 
>>>>>>>>>>      Read the docs: http://akka.io/docs/
>>>>>>>>>>      Check the FAQ: 
>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>>>>>>>>      Search the archives: https://groups.google.com/group/akka-user
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