Mr. Rosario soltrinox

Install with Homebrew

brew install mongodb

Set up launchctl to auto start mongod

$ ln -sfv /usr/local/opt/mongodb/*.plist ~/Library/LaunchAgents

/usr/local/opt/mongodb/ is a symlink to /usr/local/Cellar/mongodb/x.y.z (e.g., 2.4.9)

Introduction

This is a Hashicorp Terraform module that provisions an AWS EC2 instance for the purpose of running a given docker-compose.yml file.

Usage

# ===== OUR MAGIC DOCKER-COMPOSE.YML FILE HERE =====
# It is also possible to get Terraform to read an external `docker-compose.yml`
# file and load it into this variable.
# We'll be showing off a demo nginx page.

Introduction

This is a Hashicorp Terraform module that provisions an AWS EC2 instance for the purpose of running a given docker-compose.yml file.

Usage

# ===== OUR MAGIC DOCKER-COMPOSE.YML FILE HERE =====
# It is also possible to get Terraform to read an external `docker-compose.yml`
# file and load it into this variable.
# We'll be showing off a demo nginx page.

NDJSON is a convenient format for storing or streaming structured data that may be processed one record at a time.

Each line is a valid JSON value
Line separator is ‘\n’

1. Convert JSON to NDJSON?

cat test.json | jq -c '.[]' > testNDJSON.json

System

First we update the system (Ubuntu 20)

sudo apt-get update
sudo apt install build-essential
sudo apt-get install npm
npm install svg-url-loader --save-dev
sudo apt install mlocate

	var AWS = require('aws-sdk');
	AWS.config.update({region: 'us-east-1'});

	var lexruntime = new AWS.LexRuntime();

	var params = {
	botAlias: '$LATEST', /* required, has to be '$LATEST' */
	botName: 'BOT', /* required, the name of you bot */
	inputText: 'TEXT', /* required, your text */
	userId: 'USER', /* required, arbitrary identifier */

	// just add pass server as your task function

	// Start a server with LiveReload to preview the site in
	const OUTPUT_PARENT = 'dist'
	const OUTPUT_DIRECTORY = OUTPUT_PARENT + '/browser-sync'

	function server(done) {
	browser.init({
	server: {
	directory: true,

	extension Array {
	subscript(circular index: Int) -> Element? {
	var i = index
	if i < 0 \|\| isEmpty {
	return nil
	} else if i > count - 1 {
	i = index % count
	}
	return self[i]
	}

	from algoliasearch import algoliasearch
	import pymongo
	from pymongo import MongoClient
	import json

	client = algoliasearch.Client("Your_Application_ID", 'Your_API_Key')
	index = client.init_index('Experiment_1')

	MONGODB_URL1 = 'Your_MongoDB_Connection_String'
	def move_collection(from_collection):

	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console