wdalmut

# Terminal output control (http://www.termsys.demon.co.uk/vtansi.htm)

TC='\e['

CLR_LINE_START="${TC}1K"
CLR_LINE_END="${TC}K"
CLR_LINE="${TC}2K"

# Hope no terminal is greater than 1k columns
RESET_LINE="${CLR_LINE}${TC}1000D"

wdalmut

parse_git_branch() {
    BRANCH=`git branch 2> /dev/null | sed -e '/^[^*]/d' -e 's/* \(.*\)/\1/'`
    case $BRANCH in
        'master' )
            BRANCH="\e[1m\e[33m${BRANCH}\e[\0m"
            ;;
        '(no branch)' )
            BRANCH="\e[1m\e[31m${BRANCH}\e[\0m"
            ;;
        *)

wdalmut

package main

import (
    "fmt"
    "net/http"
)

func handler(w http.ResponseWriter, r *http.Request) {
    fmt.Fprintf(w, "Hi there, I love %s!", r.URL.Path[1:])
}

wdalmut

#include <errno.h>
#include <termios.h>
#include <unistd.h>

int
set_interface_attribs (int fd, int speed, int parity)
{
        struct termios tty;
        memset (&tty, 0, sizeof tty);
        if (tcgetattr (fd, &tty) != 0)

wdalmut

package main

import(
    "fmt"
    "math"
)

func main() {
    fmt.Printf("PI approx\n")
    piValue := float64(0)

wdalmut

#!/bin/bash

PS=/bin/ps
GREP=/bin/grep
PROCESS_NAME=wftpserver

START="/etc/init.d/wftpserver start"

NOP=/bin/true

wdalmut

Q: How do I select the right number of instances for my job flow?

The number of instances to use in your job flow is application-dependent and should be based on both the amount of resources required to store and process your data and the acceptable amount of time for your job to complete. As a general guideline, we recommend that you limit 60% of your disk space to storing the data you will be processing, leaving the rest for intermediate output. Hence, given 3x replication on HDFS, if you were looking to process 5 TB on m1.xlarge instances, which have 1,690 GB of disk space, we recommend your cluster contains at least (5 TB * 3) / (1,690 GB * .6) = 15 m1.xlarge core nodes. You may want to increase this number if your job generates a high amount of intermediate data or has significant I/O requirements. You may also want to include additional task nodes to improve processing performance. See Amazon EC2 Instance Types for details on local instan

wdalmut

sudo easy_install pip    # PIP is recommended for installation
sudo -s   # Creates a new sudo shell 
export ARCHFLAGS="-arch i386 -arch x86_64"   # Need to set some GCC flags
pip install fabric   # Get the install on

wdalmut

export EC2_AMITOOL_HOME=~/Amazon/tools/ami/
export PATH=${PATH}:~/Amazon/tools/ami/bin
 
export EC2_HOME=~/Amazon/tools/api/
export PATH=${PATH}:~/Amazon/tools/api/bin
 
export AWS_CLOUDWATCH_HOME=~/Amazon/tools/cloud-watch
 
export PATH=${PATH}:~/Amazon/tools/elastic-load-balancing/bin

wdalmut

{
    "myapp": {
        "master": {
            "master_0": {
                "host": "localhost",
                "port": "3306"
            }
        },
        "slave": {
            "slave_0": {