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

# Transforming a color scale

doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("ggplot2", "RColorBrewer", "scales")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Generate some data
nn <- 10000
myData <- data.frame(X = rnorm(nn),