Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Concurrency and Distributed Systems in JRuby
Search
Theo Hultberg
August 17, 2012
Programming
3
660
Concurrency and Distributed Systems in JRuby
Presentation given av JRubyConf EU/Eurucamp 2012
Theo Hultberg
August 17, 2012
Tweet
Share
More Decks by Theo Hultberg
See All by Theo Hultberg
Datalakes at AWS Summit Stockholm 2018
iconara
0
94
Building a CQL driver
iconara
0
57
Chasing the Elephant
iconara
0
92
Learning to Build Distributed Systems the Hard Way
iconara
1
140
Learning to Build Distributed Systems the Hard Way
iconara
2
210
Learning to Build Distributed Systems the Hard Way
iconara
3
5.1k
A Guide to the Post Relational Revolution
iconara
4
5.4k
Standing on the Shoulders of Giants with JRuby
iconara
4
150
Shortcuts Around the Mistakes I've Made Scaling MongoDB
iconara
4
170
Other Decks in Programming
See All in Programming
RailsGirls IZUMO スポンサーLT
16bitidol
0
180
ruby.wasmで多人数リアルタイム通信ゲームを作ろう
lnit
3
470
Railsアプリケーションと パフォーマンスチューニング ー 秒間5万リクエストの モバイルオーダーシステムを支える事例 ー Rubyセミナー 大阪
falcon8823
5
1.1k
チームのテスト力を総合的に鍛えて品質、スピード、レジリエンスを共立させる/Testing approach that improves quality, speed, and resilience
goyoki
5
870
チームで開発し事業を加速するための"良い"設計の考え方 @ サポーターズCoLab 2025-07-08
agatan
1
420
「Cursor/Devin全社導入の理想と現実」のその後
saitoryc
0
820
おやつのお供はお決まりですか?@WWDC25 Recap -Japan-\(region).swift
shingangan
0
130
PicoRuby on Rails
makicamel
2
130
High-Level Programming Languages in AI Era -Human Thought and Mind-
hayat01sh1da
PRO
0
770
#kanrk08 / 公開版 PicoRubyとマイコンでの自作トレーニング計測装置を用いたワークアウトの理想と現実
bash0c7
1
770
PipeCDのプラグイン化で目指すところ
warashi
1
270
Azure AI Foundryではじめてのマルチエージェントワークフロー
seosoft
0
170
Featured
See All Featured
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
32
2.4k
Raft: Consensus for Rubyists
vanstee
140
7k
Designing for Performance
lara
610
69k
The Invisible Side of Design
smashingmag
301
51k
Thoughts on Productivity
jonyablonski
69
4.7k
Intergalactic Javascript Robots from Outer Space
tanoku
271
27k
Build The Right Thing And Hit Your Dates
maggiecrowley
36
2.8k
How to train your dragon (web standard)
notwaldorf
95
6.1k
Music & Morning Musume
bryan
46
6.6k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
Faster Mobile Websites
deanohume
307
31k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
331
22k
Transcript
CONCURRENCY AND DISTRIBUTED SYSTEMS IN JRUBY @iconara
speakerdeck.com/u/iconara (real time!)
Theo / @iconara
Chief Architect at
big data with Ruby since 2009
MAKING THIS
INTO THIS
big data with Ruby since 2009
APRIL 2011 stuck
MAY 2011 let’s try JRuby
JUNE 2011 wrapping Java libraries for fun and for profit
HOTBUNNIES natural Ruby API for RabbitMQ
JULY 2011 threads are better than processes
JRUBY
JRUBY
J.U.C (java.util.concurrent)
SHORTCUT Java Concurrency in Practice
EXECUTORS configurable thread pools, a better abstraction than using Thread
directly
thread_pool = Executors.new_fixed_thread_pool(16) all_the_things.each do |thing| thread_pool.submit do crunch_crunch_crunch(thing) end
end
BLOCKING QUEUES easy producer/consumer patterns
J.U.C.ATOMIC optimistic locking primitives, compare-and-swap, thread safe non-blocking counters
MORE AWESOMES ConcurrentHashMap, CountDownLatch, ForkJoinPool, Google Guava, LMAX distruptor
TL; DR use j.u.c and avoid mutable state and you’re
safe, mostly
enough rope THREADS
AUGUST 2011 threads are a mess, let’s try actors
ACTORS a higher level abstraction of concurrency
AKKA concurrency library for Scala, famous actor implementation
MIKKA Akka wrapper for JRuby
DO ALL THE THINGS Programming Concurrency on the JVM
AUGUST 2011 async systems with no back pressure mechanism will
die of memory starvation
STATE AGGREGATION INPUT PERSISTENCE OUTPUT TIMER
STATE AGGREGATION INPUT PERSISTENCE OUTPUT TIMER !
AUGUST 2011 actors are cool, but not really worth it
when all the arrows in your flow chart point in the same direction
DIVIDE DIVIDE DIVIDE run multiple independent, synchronous workers, tune to
the number of CPUs & IO wait
SEPTEMBER 2011 blocking all the way down, back pressure all
the way up
AUGUST 2011 (short rant about MongoDB’s global write lock)
NEW SHINY TOYS for building new shiny products
CASSANDRA distributed database, mostly magic
CASSANDRA very verbose drivers ColumnFamilyUpdater<String, String> updater = template.createUpdater("a key");
updater.setString("domain", "www.datastax.com"); updater.setLong("time", System.currentTimeMillis()); try { template.update(updater); } catch (HectorException e) { // hurgh }
EURYDICE JRuby nails it new_data = {:domain => 'www.datastax.com', :time
=> Time.now.to_i} column_family.update('a key', new_data)
STORM stream processing framework written in Clojure
STORM (it does the arrows, you do the blobs)
REDSTORM Storm for JRuby
DON’T DO THIS AT HOME KIDS! the key to building
concurrent and distributed systems is to separate what you want to do from the concurrent- and distributed-ness, and let someone else take care of that YOUR CODE
JRUBY IS A SLIPPERY SLOPE TO JBOSS let there be
no doubt about it
SCALING IS HARD go to Srdan’s talk tomorrow
KTHXBAI @iconara github.com/iconara architecturalatrocities.com burtcorp.com