Akka.DistributedData 1.3.3-beta56

Replicated data using CRDT structures

Showing the top 20 packages that depend on Akka.DistributedData.

Packages Downloads
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
60
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
59
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster
58
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster. Used to distribute state in a fault-tolerant, consistent fashion over an Akka.NET cluster.
57
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster
56
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster
54
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
50
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
44
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
42
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster. Used to distribute state in a fault-tolerant, consistent fashion over an Akka.NET cluster.
41
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster. Used to distribute state in a fault-tolerant, consistent fashion over an Akka.NET cluster.
38
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster
36
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster. Used to distribute state in a fault-tolerant, consistent fashion over an Akka.NET cluster.
35
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
33
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster. Used to distribute state in a fault-tolerant, consistent fashion over an Akka.NET cluster.
32
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
31
Akka.DistributedData.LightningDB
Replicated data using CRDT structures
30
Akka.Cluster.Sharding
Sharded actors with managed lifecycle for Akka.NET cluster
30

Maintenance Release for Akka.NET 1.3** The largest changes featured in Akka.NET v1.3.3 are the introduction of [Splint brain resolvers](http://getakka.net/articles/clustering/split-brain-resolver.html) and `WeaklyUp` members in Akka.Cluster. Akka.Cluster Split Brain Resolvers** Split brain resolvers are specialized [`IDowningProvider`](http://getakka.net/api/Akka.Cluster.IDowningProvider.html) implementations that give Akka.Cluster users the ability to automatically down `Unreachable` cluster nodes in accordance with well-defined partition resolution strategies, namely: Static quorums; Keep majority; Keep oldest; and Keep-referee. You can learn more about why you may want to use these and which strategy is right for you by reading our [Splint brain resolver documentation](http://getakka.net/articles/clustering/split-brain-resolver.html). Akka.Cluster `WeaklyUp` Members** One common problem that occurs in Akka.Cluster is that once a current member of the cluster becomes `Unreachable`, the leader of the cluster isn't able to allow any new members of the cluster to join until that `Unreachable` member becomes `Reachable` again or is removed from the cluster via a [`Cluster.Down` command](http://getakka.net/api/Akka.Cluster.Cluster.html#Akka_Cluster_Cluster_Down_Akka_Actor_Address_). Beginning in Akka.NET 1.3.3, you can allow nodes to still join and participate in the cluster even while other member nodes are unreachable by opting into the `WeaklyUp` status for members. You can do this by setting the following in your HOCON configuration beginning in Akka.NET v1.3.3: ``` akka.cluster.allow-weakly-up-members = on ``` This will allow nodes who have joined the cluster when at least one other member was unreachable to become functioning cluster members with a status of `WeaklyUp`. If the unreachable members of the cluster are downed or become reachable again, all `WeaklyUp` nodes will be upgraded to the usual `Up` status for available cluster members. Akka.Cluster.Sharding and Akka.Cluster.DistributedData Integration** A new experimental feature we've added in Akka.NET v1.3.3 is the ability to fully decouple [Akka.Cluster.Sharding](http://getakka.net/articles/clustering/cluster-sharding.html) from Akka.Persistence and instead run it on top of [Akka.Cluster.DistributedData, our library for creating eventually consistent replicated data structures on top of Akka.Cluster](http://getakka.net/articles/clustering/distributed-data.html). Beginning in Akka.NET 1.3.3, you can set the following HOCON configuration option to have the `ShardingCoordinator` replicate its shard placement state using DData instead of persisting it to storage via Akka.Persistence: ``` akka.cluster.sharding.state-store-mode = ddata ``` This setting only affects how Akka.Cluster.Sharding's internal state is managed. If you're using Akka.Persistence with your own entity actors inside Akka.Cluster.Sharding, this change will have no impact on them. Updates and bugfixes**: [Added `Cluster.JoinAsync` and `Clutser.JoinSeedNodesAsync` methods](https://github.com/akkadotnet/akka.net/pull/3196) [Updated Akka.Serialization.Hyperion to Hyperion v0.9.7](https://github.com/akkadotnet/akka.net/pull/3279) - see [Hyperion v0.9.7 release notes here](https://github.com/akkadotnet/Hyperion/releases/tag/v0.9.7). [Fixed: A Source.SplitAfter Akka example extra output](https://github.com/akkadotnet/akka.net/issues/3222) [Fixed: Udp.Received give incorrect ByteString when client send several packets at once](https://github.com/akkadotnet/akka.net/issues/3210) [Fixed: TcpOutgoingConnection does not dispose properly - memory leak](https://github.com/akkadotnet/akka.net/issues/3211) [Fixed: Akka.IO & WSAEWOULDBLOCK socket error](https://github.com/akkadotnet/akka.net/issues/3188) [Fixed: Sharding-RegionProxyTerminated fix](https://github.com/akkadotnet/akka.net/pull/3192) [Fixed: Excessive rebalance in LeastShardAllocationStrategy](https://github.com/akkadotnet/akka.net/pull/3191) [Fixed: Persistence - fix double return of recovery permit](https://github.com/akkadotnet/akka.net/pull/3201) [Change: Changed Akka.IO configured buffer-size to 512B](https://github.com/akkadotnet/akka.net/pull/3176) [Change: Added human-friendly error for failed MNTK discovery](https://github.com/akkadotnet/akka.net/pull/3198) You can [see the full changeset for Akka.NET 1.3.3 here](https://github.com/akkadotnet/akka.net/milestone/21). | COMMITS | LOC+ | LOC- | AUTHOR | | --- | --- | --- | --- | | 17 | 2094 | 1389 | Marc Piechura | | 13 | 5426 | 2827 | Bartosz Sypytkowski | | 12 | 444 | 815 | Aaron Stannard | | 11 | 346 | 217 | ravengerUA | | 3 | 90 | 28 | zbynek001 | | 3 | 78 | 84 | Maxim Cherednik | | 2 | 445 | 1 | Vasily Kirichenko | | 2 | 22 | 11 | Ismael Hamed | | 2 | 11 | 9 | Nicola Sanitate | | 1 | 9 | 10 | mrrd | | 1 | 7 | 2 | Richard Dobson | | 1 | 33 | 7 | Ivars Auzins | | 1 | 30 | 11 | Will | | 1 | 3 | 3 | HaniOB | | 1 | 11 | 199 | Jon Galloway | | 1 | 1 | 1 | Sam Neirinck | | 1 | 1 | 1 | Irvin Dominin |

.NET Framework 4.5

.NET Standard 1.6

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1.4.36 24 08/25/2023
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