fatmali

function mergeSort(A: number[]): void {
  const n = A.length;
  if (n < 2) {
    return A;
  }
  const mid = Math.floor(n / 2);
  const left = A.slice(0, mid);
  const right = A.slice(mid);
  mergeSort(left);
  mergeSort(right);

fatmali

ARG ELK_VERSION

FROM docker.elastic.co/beats/heartbeat:${ELK_VERSION}

# Auto-Create Kibana Heartbeat Dashboard Tables 
RUN /usr/share/heartbeat/heartbeat setup --dashboards

fatmali

heartbeat.monitors:
- type: http
  schedule: '@every 10s'
  urls:
    - https://fatmali@github.io
    - https://google.com

  check.request:
    method: GET
    headers:

fatmali

...
      
  heartbeat:
     build:
       context: ./heartbeat
       args:
          ELK_VERSION: $ELK_VERSION
     volumes:
       - ./heartbeat/config/heartbeat.yml:/usr/share/heartbeat/heartbeat.yml:ro
     environment:

fatmali

input {
  jdbc { 
    jdbc_connection_string => "jdbc:mysql://localhost:3306/testdb"
    # The user we wish to execute our statement as
    jdbc_user => "root"
    jdbc_password => "123456"
    # The path to our downloaded jdbc driver
    jdbc_driver_library => "/home/comp/Downloads/mysql-connector-java-5.1.38.jar"
    jdbc_driver_class => "com.mysql.jdbc.Driver"
    # our query

fatmali

import hashlib
# for python version 2.7 use raw_input instead
my_pass = input('Enter Password to hash: ')
sha1_obj = hashlib.sha1(bytes(my_pass))
sha1_hex = sha1_obj.hexdigest()
print("Your SHA1 Password is " + sha1_hex)

fatmali

version: '2'
services:
  spark-jupyter:
    image: jupyter/pyspark-notebook
    command: /usr/local/bin/start-notebook.sh --NotebookApp.password='sha1:YOUR_HASHED_PASSWORD'
    ports:
      - 4040:4040
      - 8060:8080
      - 8888:8888
      - 10000:10000

fatmali

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

fatmali

import { Singleton } from './singleton.ts';

class Client {
   singletonInstance = Singleton.getInstance();
    
   singletonInstance.log("It's the same object dummy");
   
} 

fatmali

namespace Singleton {

    export function log(message: string) {
        console.log('Log:' + message);
    }
}