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@l15n
l15n / git-branches-by-commit-date.sh
Created July 13, 2012 08:47 — forked from jasonrudolph/git-branches-by-commit-date.sh
List remote Git branches and the last commit's author and author date for each branch. Sort by most recent commit's author date.
# Credit http://stackoverflow.com/a/2514279
for branch in `git branch -r | grep -v HEAD`;do echo -e `git show --format="%ai %ar by %an" $branch | head -n 1` \\t$branch; done | sort -r
@solso
solso / autossh.sh
Created July 26, 2012 13:56
Support material for blog post of redis replication
#!/bin/sh
## --- tunnel_to_master_redis
REDIS_MASTER=XYZ
REDIS_SLAVE_PORT=6280
AUTOSSH_POLL=300
AUTOSSH_PORT=20000
AUTOSSH_GATETIME=10
AUTOSSH_LOGFILE=/var/log/autossh/autossh.log
@jjkoshy
jjkoshy / gist:3842975
Created October 5, 2012 23:04
zkserializer
client.setZkSerializer(new ZkSerializer() {
@Override
public byte[] serialize(Object o)
throws ZkMarshallingError
{
return ZKStringSerializer.serialize(o);
}
@Override
public Object deserialize(byte[] bytes)
@mikeyk
mikeyk / watch_wal-e.py
Created January 16, 2013 20:24
Watch_wal-e script
#! /usr/bin/env python
from boto.ses.connection import SESConnection
import os
import sys
import subprocess
import socket
TMPFILE = '/var/run/postgresql/last-wal-archive-error-file.tmp'
if __name__ == '__main__':
@rxin
rxin / ramdisk.sh
Last active November 21, 2024 15:11
ramdisk create/delete on Mac OS X.
#!/bin/bash
# From http://tech.serbinn.net/2010/shell-script-to-create-ramdisk-on-mac-os-x/
#
ARGS=2
E_BADARGS=99
if [ $# -ne $ARGS ] # correct number of arguments to the script;
then
@MatthewHannigan
MatthewHannigan / gist:5210474
Created March 21, 2013 03:28
atlassian gdb dump core script with modifications to use mktemp and trap to clean up untested :-)
#!/bin/bash
# atlassian-heap-dump.sh - dump a heap using GDB for a crashed application
# Accepts a single argument: the PID of the JVM
# Author: James Gray ([email protected])
# Copyright Atlassian P/L
# License: MIT
# Are we root?
if [ $UID -ne 0 ]; then
@josiahcarlson
josiahcarlson / prefix_code.py
Created May 6, 2013 16:29
Encode/decode sequences of integers to offer the ability to easily compare encoded sequences of integers as though they were decoded (which can be used to implement array comparisons in a database that doesn't offer native arrays).
'''
prefix_code.py
Copyright 2012-2013 Josiah Carlson
Released under the GNU LGPL v 2.1 license
This module offers the ability to encode/decode a sequence of integers into
strings that can then be used to compare sequences of integers (or paths on
trees) quickly. This module was originally intended to be used in a case-
preserving index in a relational database (where 'Z' comes before 'a', as is
@wishfoundry
wishfoundry / gist:7036457
Last active April 1, 2022 05:18
Set OSX default text editor to sublime text 3 instead of TextEdit
defaults write com.apple.LaunchServices LSHandlers -array-add '{LSHandlerContentType=public.plain-text;LSHandlerRoleAll=com.sublimetext.3;}'
@nuxlli
nuxlli / unix_socket_request.sh
Last active January 25, 2024 04:37
Examples of http request in unix domain socket with shell, using socat, netcat or curl
#!/bin/bash
# References
# http://www.computerhope.com/unix/nc.htm#03
# https://github.com/daniloegea/netcat
# http://unix.stackexchange.com/questions/26715/how-can-i-communicate-with-a-unix-domain-socket-via-the-shell-on-debian-squeeze
# http://unix.stackexchange.com/questions/33924/write-inside-a-socket-open-by-another-process-in-linux/33982#33982
# http://www.linuxjournal.com/content/more-using-bashs-built-devtcp-file-tcpip
# http://www.dest-unreach.org/socat/
# http://stuff.mit.edu/afs/sipb/machine/penguin-lust/src/socat-1.7.1.2/EXAMPLES
@debasishg
debasishg / gist:8172796
Last active April 20, 2025 12:45
A collection of links for streaming algorithms and data structures

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