jonhoo

Distributed Read-Write Mutex in Go

This project has moved to https://github.com/jonhoo/drwmutex so it can be imported into Go applications.

J08nY

#!/usr/bin/env python
#-----ButtonBot.py-----#
#                      #
# made by /u/J08nY     #
# v2.3                 #
#                      #
#----------------------#

from urllib import urlencode
import httplib

akras14

Git Cheat Sheet

Commands

Getting Started

git init

or

alganet

#!/usr/bin/env sh
# serve.sh
# Modular version: https://gist.github.com/alganet/a22a1373dcee7c175d1e

# Expansion on zsh
command -v setopt 2>&1 >/dev/null && setopt SH_WORD_SPLIT
# POSIX on bash
export POSIXLY_CORRECT=1

# Lists files and folders as HTML

josephabrahams

[diff]
    tool = Kaleidoscope
[difftool]
    prompt = false
[difftool "Kaleidoscope"]
    cmd = ksdiff --partial-changeset --relative-path \"$MERGED\" -- \"$LOCAL\" \"$REMOTE\"
[merge]
    tool = Kaleidoscope
    keepBackup = false
[mergetool]

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

zhenjl

Testing fnv.New64() with size 235886
m = 3391472, n = 235886, k = 10, s = 339148, p = 0.500000, e = 0.001000
Total items: 235886
Bits in partition 0: 170044 (50.1%)
Bits in partition 1: 170171 (50.2%)
Bits in partition 2: 169914 (50.1%)
Bits in partition 3: 170022 (50.1%)
Bits in partition 4: 170144 (50.2%)
Bits in partition 5: 169979 (50.1%)
Bits in partition 6: 170080 (50.1%)

rgreenjr

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

jboner

Latency Comparison Numbers (~2012)
----------------------------------
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        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD