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#!/bin/bash

# Get directory of script
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"

if [[ $# -ne 1 ]]
then
    echo "ERROR: This script expects the namespace name to be given as an argument"
    echo "e.g. ./ecr-cred-updater.sh my-namespace"
    exit 1

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package main
import (
	"fmt"
	"io/ioutil"
	"net/http"
)
func main() {
	url := "https://api.ipify.org?format=text"	// we are using a pulib IP API, we're using ipify here, below are some others
                                              // https://www.ipify.org
                                              // http://myexternalip.com

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#!/usr/bin/env bash

# Deploy a new image to an ECS service by creating a new task revision 
# specifying a container repoository tag, and updating the service to use the new revision.
#
# Note: Your application's container MUST be the first container in the task revision.

#The tag to deploy.  Specify as the first cli argument
TAG=$1

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#!/usr/bin/env bash

# install docker
# https://docs.docker.com/engine/installation/linux/ubuntulinux/

# install docker-compose
# https://docs.docker.com/compose/install/

# install letsencrypt
# https://www.digitalocean.com/community/tutorials/how-to-secure-nginx-with-let-s-encrypt-on-ubuntu-16-04

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#!/usr/bin/env bash

# install docker
# https://docs.docker.com/engine/installation/linux/ubuntulinux/

# install docker-compose
# https://docs.docker.com/compose/install/

# install letsencrypt
# https://www.digitalocean.com/community/tutorials/how-to-secure-nginx-with-let-s-encrypt-on-ubuntu-16-04

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package com.databricks.spark.jira

import scala.io.Source

import org.apache.spark.rdd.RDD

import org.apache.spark.sql._
import org.apache.spark.sql.functions._
import org.apache.spark.sql.sources.{TableScan, BaseRelation, RelationProvider}

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package com.databricks.spark.jira

import scala.io.Source

import org.apache.spark.rdd.RDD

import org.apache.spark.sql._
import org.apache.spark.sql.functions._
import org.apache.spark.sql.sources.{TableScan, BaseRelation, RelationProvider}

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import java.io.InputStream

import org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils
import org.apache.spark.sql.{ DataFrame, Row }

import org.postgresql.copy.CopyManager
import org.postgresql.core.BaseConnection

val jdbcUrl = s"jdbc:postgresql://..." // db credentials elided
val connectionProperties = {

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##################### ElasticSearch Configuration Example #####################

# This file contains an overview of various configuration settings,
# targeted at operations staff. Application developers should
# consult the guide at <http://elasticsearch.org/guide>.
#
# The installation procedure is covered at
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup.html>.
#
# ElasticSearch comes with reasonable defaults for most settings,

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import AssemblyKeys._

name := "elasticsearch-spark-project"

version := "1.0-SNAPSHOT"

scalaVersion := "2.10.5"

libraryDependencies ++= Seq(
  "org.apache.spark" %% "spark-core" % "1.4.0" % "provided",