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Actor Systems In Rust: Techniques and Tradeoffs
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Andrew J. Stone
November 16, 2017
Programming
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Actor Systems In Rust: Techniques and Tradeoffs
Andrew J. Stone
November 16, 2017
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Transcript
Actor Systems in Rust: Techniques and Tradeoffs Andrew J. Stone
Haret Distributed Coordinator and KV Store
Haret Multiple Independent Consensus Groups
Haret Protocol Viewstamped Replication Revisited for Consensus
Haret Backend • Versioned persistent trie per consensus group •
CAS on entire subtrees • Typed Leaves • Blob • Queue • Set
[email protected]
[email protected]
[email protected]
p1 p2 p3 Request (1) Prepare (2)
PrepareOk (3) Prepare (2) PrepareOk (3) Reply (4)
Actors Processes That Communicate Only via Asynchronous Msg Passing
Actors Straightforward Representation of Peers in a Consensus Group
Rabble Actor Abstractions for Implementing Distributed Algorithms
Rabble Dynamic Cluster Membership, Transport and Msg Routing
Rabble Designed for Testability
Rabble A Work in Progress
Rabble Provides a clean way to implement VRR in Haret
Naming pub struct Pid { pub group: Option<String>, pub name:
String, pub node: NodeId, }
Messages pub enum Msg<T> { User(T), ClusterStatus(ClusterStatus), ExecutorStatus(ExecutorStatus), StartTimer(usize), //
time in ms CancelTimer(Option<CorrelationId>), Timeout, Shutdown, GetMetrics, Metrics(Vec<(Name, Metric)>) } { Rabble built-ins User Defined
Envelopes pub struct Envelope<T> { pub to: Pid, pub from:
Pid, pub msg: Msg<T>, pub correlation_id: Option<CorrelationId> }
pub trait Process<T> : Send { /// Handle messages from
other actors fn handle(&mut self, msg: Msg<T>, from: Pid, correlation_id: Option<CorrelationId>, output: &mut Vec<Envelope<T>>); } Processes
Echo Server P1 (Client) Envelope { to: P2, from: P1,
msg: Msg::User<Hello>, correlation_id: Some(P1) } Envelope { to: P1, from: P2, msg: Msg::User<Hello>, correlation_id: Some(P1) } P2 (Server)
impl Process<T> for EchoServer<T> { fn handle(&mut self, msg: Msg<T>,
from: Pid, cid: Option<CorrelationId>, output: &mut Vec<Envelope<T>>) { match msg { Msg::User(Hello) => { let to = from; // P1 let from = self.pid.clone(); // P2 let msg = Msg::User(Hello); let reply = Envelope::new(to, from, msg, cid); output.push(reply); }, _ => () } }
Executor Locates and Runs Processes
P1 P2 P3 Hashmap<Pid, Process> Executor Channel To: P1 Thread
Handle
Property Based Testing 1. Construct a group of processes in
an initial state 2. Generate a schedule of test messages 3. Call the handle method of a process with a test message 4. Collect output messages of handle method 5. Schedule output messages
Test Scheduling Trigger Protocol State Transitions with Explicit Timeouts
Test Assertions •Pre/Post conditions •Global state invariants
Failing Tests Failing Schedules Run as a Regression Suite
Debugging Each Message Receipt is One Step in a Test
Schedule
Cluster Server Non-blocking Single Threaded Server with TCP Connections to
every node
Membership Dynamic Membership Maintained in an Observed-Remove Set
Services Actors that Run Blocking and CPU Intensive Operations
Takeaways
Takeaway Dynamic Messaging is Complex Expensive, and Unergonomic for Distributed
Actors in Rust
Takeaway Writing Good Schedulers is Hard
Takeaway Design your systems to make deterministic testing easier
Takeaway Compromise and Pragmatism allow a good enough solution that
works NOW
Links • https://github.com/andrewjstone/rabble • https://github.com/andrewjstone/orset • https://github.com/vmware/haret
Thanks! Tom Santero Justin Sheehy VMware