A list of Akka Persistence plugins is now maintained at http://akka.io/community/. Please edit this page to add a new plugin.
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#!/usr/bin/env zsh | |
# in fino veritas | |
# Borrowing shamelessly from these oh-my-zsh themes: | |
# fino-time | |
# pure | |
# https://gist.github.com/smileart/3750104 | |
# Set required options |
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// In real life, it's great that stuff gets restarted when it fails. | |
// In testing, we'd rather know that it failed. | |
import akka.actor._ | |
class DyingActor extends Actor { | |
def receive = { case "die" => throw new Exception("poo") } | |
} | |
// Default config, everything restarts automatically | |
val system = ActorSystem("ordinary") |
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
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trait AggregateType { | |
val description: String | |
val classType: Class[_ <: Actor] | |
} | |
object DomainModel { | |
def apply(name: String)(aggregateTypes: AggregateType*) = { | |
new DomainModel(name, aggregateTypes) | |
} | |
} |
Hi there!
The docker cheat sheet has moved to a Github project under https://github.com/wsargent/docker-cheat-sheet.
Please click on the link above to go to the cheat sheet.
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import akka.actor._ | |
import akka.persistence._ | |
object EventsourcingExample extends App { | |
class EventsourcedProcessor extends Processor { | |
var events: List[Any] = Nil | |
var awaitStack: List[Actor.Receive] = Nil | |
def receive = { | |
case Persistent(event, _) if recoveryRunning ⇒ update(event) |
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// Run this with scala <filename> | |
/** | |
* A Two-phase commit Monad | |
*/ | |
trait Transaction[+T] { | |
def map[U](fn: T => U): Transaction[U] = flatMap { t => Constant(fn(t)) } | |
def flatMap[U](fn: T => Transaction[U]): Transaction[U] = | |
FlatMapped(this, fn) |
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function rm () { | |
local path | |
for path in "$@"; do | |
# ignore any arguments | |
if [[ "$path" = -* ]]; then : | |
else | |
local dst=${path##*/} | |
# append the time if necessary | |
while [ -e ~/.Trash/"$dst" ]; do | |
dst="$dst "$(date +%H-%M-%S) |
- https://dancres.github.io/Pages/
- https://ferd.ca/a-distributed-systems-reading-list.html
- http://the-paper-trail.org/blog/distributed-systems-theory-for-the-distributed-systems-engineer/
- https://github.com/palvaro/CMPS290S-Winter16/blob/master/readings.md
- http://muratbuffalo.blogspot.com/2015/12/my-distributed-systems-seminars-reading.html
- http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
- http://michaelrbernste.in/2013/11/06/distributed-systems-archaeology-works-cited.html
- http://rxin.github.io/db-readings/
- http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html
- http://pdos.csail.mit.edu/dsrg/papers/