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Concurrency and Distributed Systems in JRuby
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Theo Hultberg
August 17, 2012
Programming
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640
Concurrency and Distributed Systems in JRuby
Presentation given av JRubyConf EU/Eurucamp 2012
Theo Hultberg
August 17, 2012
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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