Merge pull request #17869 from akka/wip-17447-split-docs-patriknw
=cls #17447 Split Cluster Sharding and Tools docs into java/scala
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21 changed files with 949 additions and 176 deletions
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@ -307,7 +307,7 @@ you have exactly one actor of a certain type running somewhere in the cluster.
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This can be implemented by subscribing to member events, but there are several corner
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cases to consider. Therefore, this specific use case is made easily accessible by the
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:ref:`cluster-singleton` in the contrib module.
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:ref:`cluster-singleton-scala`.
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Cluster Sharding
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^^^^^^^^^^^^^^^^
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@ -316,7 +316,7 @@ Distributes actors across several nodes in the cluster and supports interaction
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with the actors using their logical identifier, but without having to care about
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their physical location in the cluster.
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See :ref:`cluster-sharding` in the contrib module.
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See :ref:`cluster_sharding_scala`
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Distributed Publish Subscribe
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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@ -325,7 +325,7 @@ Publish-subscribe messaging between actors in the cluster, and point-to-point me
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using the logical path of the actors, i.e. the sender does not have to know on which
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node the destination actor is running.
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See :ref:`distributed-pub-sub` in the contrib module.
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See :ref:`distributed-pub-sub-scala`.
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Cluster Client
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^^^^^^^^^^^^^^
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@ -334,7 +334,15 @@ Communication from an actor system that is not part of the cluster to actors run
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somewhere in the cluster. The client does not have to know on which node the destination
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actor is running.
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See :ref:`cluster-client` in the contrib module.
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See :ref:`cluster-client-scala`.
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Distributed Data
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^^^^^^^^^^^^^^^^
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*Akka Distributed Data* is useful when you need to share data between nodes in an
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Akka Cluster. The data is accessed with an actor providing a key-value store like API.
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See :ref:`distributed_data_scala`.
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Failure Detector
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^^^^^^^^^^^^^^^^
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@ -530,7 +538,7 @@ Router Example with Pool of Remote Deployed Routees
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---------------------------------------------------
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Let's take a look at how to use a cluster aware router on single master node that creates
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and deploys workers. To keep track of a single master we use the :ref:`cluster-singleton`
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and deploys workers. To keep track of a single master we use the :ref:`cluster-singleton-scala`
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in the contrib module. The ``ClusterSingletonManager`` is started on each node.
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.. includecode:: ../../../akka-samples/akka-sample-cluster-scala/src/main/scala/sample/cluster/stats/StatsSampleOneMaster.scala#create-singleton-manager
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