Cagatay Kavukcuoglu tinkerware

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = [email protected]:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

Format: 1A Host: http://blog.acme.com

Basic ACME Blog API

NOTE: This document is outdated. Refer to the actual API Blueprint examples.

Welcome to the ACME Blog API. This API provides access to the ACME Blog service.

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

	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns
	Send 1K bytes over 1 Gbps network 10,000 ns 0.01 ms
	Read 4K randomly from SSD 150,000 ns 0.15 ms
	Read 1 MB sequentially from memory 250,000 ns 0.25 ms
	Round trip within same datacenter 500,000 ns 0.5 ms

	#!/bin/sh

	###
	# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
	# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
	###

	# Alot of these configs have been taken from the various places
	# on the web, most from here
	# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx

	import org.apache.hadoop.fs.Path
	import org.apache.hadoop.hbase.io.hfile.{ HFile, HFileScanner }
	import org.apache.hadoop.hbase.io.hfile.HFile.Reader
	import org.apache.hadoop.hbase.io.ImmutableBytesWritable
	import org.apache.hadoop.hbase.KeyValue
	import org.apache.hadoop.mapreduce.{ JobContext, InputSplit, TaskAttemptContext, RecordReader }
	import org.apache.hadoop.mapreduce.lib.input.{ FileInputFormat, FileSplit }

	/**
	* A MapReduce InputFormat for HBase's HFile.

	// lol also not a class
	public class Debug {
	public static void pr(Object o) {
	// lol if you think java has a type system
	if (o == null) {
	pr("nil");

	} else if (o instanceof String) {
	System.out.print('"' + (String) o + '"');

	system ~/projects/jruby $ jruby -J-Xmx1024m -J-Xmx1024m -Isrc gc_stress.rb
	ID Type Timestamp(sec) Before(kB) After(kB) Delta(kB) Heap(kB) GC Time(ms)
	2 PS Scavenge 1.5624 48541 31837 16703 108288 7.1670000000
	3 PS Scavenge 1.7100 66597 32293 34304 108672 6.8490000000
	4 PS Scavenge 1.7796 66797 32429 34368 143104 6.0990000000
	5 PS Scavenge 1.8868 101293 32445 68847 143104 6.2590000000
	6 PS Scavenge 1.9809 101309 32509 68800 215936 5.9520000000
	7 PS Scavenge 2.2277 170258 32634 137623 216256 6.6460000000
	8 PS Scavenge 2.4213 170363

	if ENV['ES_CACHE']
	config.vm.provision :shell do \|shell\|
	shell.inline = "apt-get update; apt-get install -y apt-cacher-ng bindfs; service apt-cacher-ng stop; bindfs --mirror=apt-cacher-ng:@apt-cacher-ng /vagrant/cache /var/cache/apt-cacher-ng; echo 'Acquire::http { Proxy \"http://127.0.0.1:3142\"; };' > /etc/apt/apt.conf.d/01proxy; echo 'Acquire::https::Proxy::apt.repo.enstratus.com \"DIRECT\";' >> /etc/apt/apt.conf.d/01proxy; service apt-cacher-ng start"
	end
	end