Buttonwood

1 - Install the prerequisites for building and installation

yum groupinstall Desktop -y
yum install finger cmake patch gcc make autoconf libtool automake pkgconfig openssl-devel gettext file pam-devel libX11-devel libXfixes-devel libjpeg-devel
yum install flex bison gcc-c++ libxslt perl-libxml-perl xorg-x11-font-utils tigervnc-server git -y
reboot

2 - Get the latest source from the xrdp git repo, build and install

git clone git://github.com/FreeRDP/xrdp.git

Buttonwood

#!/usr/bin/python

import sys
from cm_api.api_client import ApiResource

##  ** CM Connection Settings ******************************
cm_host = "localhost"
cm_port = "7180"
cm_login = "admin"
cm_password = "admin"

Buttonwood

#!/usr/bin/python

## ********************************************************************************
## mr-usage-by-user.py 
##
## Aggregates YARN MapReduce usage by day and user and writes the results to the console and to a file
##
## As the CM-API call "yarn.get_yarn_applications" can only return 1000 jobs max per call the script will make
## multiple calls to yarn.get_yarn_applications and aggregate all results between the script's global start and end times
##

Buttonwood

#!/usr/bin/python

## ********************************************************************************
## get-yarn-long-running-jobs.py 
## 
## Usage: ./get-yarn-long-running-jobs.py
## 
## Edit the settings below to connect to your Cluster
##
## ********************************************************************************

Buttonwood

#!/usr/bin/python

## ********************************************************************************
## get-hive-yarn-jobs-for-sentry-user.py 
## 
## Example of how to retrieve info on YARN Hive jobs for a given Sentry user 
## using the Cloudera Manager API
##
## Usage: ./get-hive-yarn-jobs-for-sentry-user.py <sentry_user_name>
## 

Buttonwood

#!/usr/bin/python

## *******************************************************************************************
##  impalaQueries.py
##
##  Getting Info on Impala Queries
##
##  Usage: ./impalaQueries.py  
##
## *******************************************************************************************

Buttonwood

Args <- commandArgs()
library('rCharts', 'ramnathv')
df <- read.csv(Args[4],header = FALSE, sep = ";")
#num <- df[,c(1,2,4,6)]
num <- df[,c(1,2,3)]
#time <- df[,c(1,3,5,7)]
colnames(num) <- c("date","num", "time")
#colnames(time) <- c("date","1", "3","20")
transform(num, date = as.character(date))
#transform(time, date = as.character(date))

Buttonwood

use List::Util qw/sum/;

my $gap = 2;
my %data;
while(<>){
        chomp;
        my @t = split(";");
        my @a = split(/\s+|\:/,$t[1]);
        my $n = int($a[1] / $gap) * $gap;
        my $time = ($n < 10) ? "0$n:00:00" : "$n:00:00";

Buttonwood

# perl grep.pl case.csv slow-query.log.keys.csv

use IO::File;
open(IN,"<$ARGV[0]");

my $count = 0;
my %fh;
while(<IN>){
        chomp;
        my @t = split(";");

Buttonwood

use List::Util qw/max min sum/;

my %data;
while(<>){
        my @arr = split("%########%");
        my @sql = split(";",$arr[-1]);
=pod
        my $a = &phaser_sql(&trans_sql($sql[0]));
        my $b = &phaser_keys($a);
        print "$sql[0]\n$a\n$b\n";