tmm1

diff --git a/Gemfile b/Gemfile
index fd90d42..9dd0146 100644
--- a/Gemfile
+++ b/Gemfile
@@ -1,4 +1,6 @@
 source 'http://rubygems.org'
+gem 'perftools.rb', '>= 0.4.4'
+gem 'rack-perftools_profiler'
 
 gem 'rails', '3.0.0.rc'

dustin

Install the latest [Couchbase Server for OS X][cbserver].

Tell Terminal you want to be on the alpha track

defaults write com.couchbase.couchbase-server SUFeedURL http://appcast.couchbase.com/couchbase-alpha.xml

Check for updates.

See new stuff.

seancribbs

source :rubygems

gem 'webmachine'
gem 'rack'

egobrain

%%%-------------------------------------------------------------------
%%% @author egobrain <egobrain@linux-ympb>
%%% @copyright (C) 2012, egobrain
%%% @doc
%%%  Function for uploading files and properties,which were sent as a
%%%  multipart. Files are stored in tmp_folder with random name,
%%%  generated by tmp_filename function.
%%% @end
%%% Created : 25 Mar 2012 by egobrain <egobrain@linux-ympb>
%%%-------------------------------------------------------------------

tenderlove

(This is a translation of ko1's blog. All mistakes are mine.)

This is the 8th day of the Ruby VM Advent Calendar.

I'm slowly running out of breath.

Today is,

• Use of ObjectSpace.reachable_objects_from() - GC Advent Calendar

dherman

Looking at the preceding token when the lexer points to a '/'
character is insufficient to determine which context it's in. In
fact, you need to look at an arbitrary number of preceding tokens
to figure it out. This example demonstrates a case where we can
pump up the number of preceding tokens to an arbitrary size
before you can disambiguate your syntactic context.

kevsmith

-module(bench).

-export([run_suite/3, run/1]).

run_suite(Name, Passes, Messages) ->
    Results = run_suite1(Passes, Messages, []),
    Avg = lists:sum(Results) / Passes,
    StdDev = math:sqrt(lists:sum([math:pow(X - Avg, 2) || X <- Results]) / Passes),
    Summary = [{avg, Avg}, {stddev, StdDev}, {min, lists:min(Results)},
               {max, lists:max(Results)}],

taliesinb

Equal
SameQ
MatchQ
MemberQ
Take
Drop
Head
Most
Rest
Part

cmeiklejohn

• CRDTs
  • What are CRDTs?
• Vector clocks
  • How do these related to dotted version vectors?
• Causal consistency
  • CAC proof
• Rack awareness and multi-data center deployments
  • What is this?
  • Why is this important?
• Wait-free synchronization

pbailis

A friend asked me for a few pointers to interesting, mostly recent papers on data warehousing and "big data" database systems, with an eye towards real-world deployments. I figured I'd share the list. It's biased and rather incomplete but maybe of interest to someone. While many are obvious choices (I've omitted several, like MapReduce), I think there are a few underappreciated gems.

###Dataflow Engines:

Dryad--general-purpose distributed parallel dataflow engine
http://research.microsoft.com/en-us/projects/dryad/eurosys07.pdf

Spark--in memory dataflow
http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf