RGMishan

- hosts: all
  tasks:
  - name: "Sending Hadoop from Controller node to Hosts"
    copy:
        src: "/root/hadoop-1.2.1-1.x86_64.rpm"
        dest: "/root"

  - name: "Sending JDK to Host Systems" 
    copy:
        dest: "/root"

RGMishan

- hosts: 192.168.56.104
  vars_files:
          - master_vars.yml
  tasks:
          - name: "Creating a directory"
            file:
               state: directory
               path: "{{ directory_path }}"
               
          - name: "Copying hdfs-site.xml"

RGMishan

- hosts: 192.168.56.105
  vars_files:
          - slave_vars.yml
  tasks:
          - name: "Creating a directory"
            file:
               state: directory
               path: "{{ directory_path }}"
               
          - name: "Copying hdfs-site.xml"

RGMishan

- hosts: 192.168.56.104
  tasks:
  - name: "Installing HTTPD Package"
    package:
      name: "httpd"
      state: present

  - name: "Creating an index file"
    copy:
      content: "<b>This is Static Regular HTTPD Automation</b>"

RGMishan

TEST1

RGMishan

- hosts: loadbalancer
  vars_files:
  - haproxyVars.yml
  tasks:
  - name: "Installing Package of HAProxy"
    package:
      name: "haproxy"
      state: present

  - name: "Copying Template of Config file from the Controller System"

RGMishan

lbport: 8080

webserverport: 80

RGMishan

#---------------------------------------------------------------------
# Example configuration for a possible web application.  See the
# full configuration options online.
#
#   https://www.haproxy.org/download/1.8/doc/configuration.txt
#
#---------------------------------------------------------------------

#---------------------------------------------------------------------
# Global settings

RGMishan

<pre>
<?php
    print `/usr/sbin/ifconfig`;
?>
</pre>

RGMishan

# importing libraries
import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
import joblib as jb

data = pd.read_csv("Salary_Data.csv")

#data_head and data information
data.head()