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['Pink Locust', 'Olive Aphid', 'Black Basilisk', 'Amethyst Silverfish', 'Aqua Butterfly', 'Aquamarine Sparrow', 'Copper Asp', 'Turquoise Kangaroo', 'Silver Hookworm', 'Gold Toad', 'Tomato Parrot', 'Olive Sheep', 'Aqua Roundworm', 'Emerald Salamander', 'Blush Grouse', 'Yellow Cow', 'Brown Unicorn', 'Tan Amphibian', 'Cyan Eagle', 'Jade Emu', 'Amethyst Python', 'Purple Newt', 'Crimson Wildebeest', 'Fuchsia Xerinae', 'Rose Llama', 'Turquoise Crow', 'Blush Puma', 'Fuchsia Hyena', 'Silver Cuckoo', 'Green Rabbit', 'Red Trout', 'Purple Catfish', 'Harlequin Seahorse', 'Coffee Tapir', 'Yellow Toucan', 'Amaranth Kingfisher', 'Silver Rattlesnake', 'Gold Unicorn', 'Pink Orca', 'Harlequin Rooster', 'Azure Kite', 'Copper Silverfish', 'Green Harrier', 'Bronze Hornet', 'Aquamarine Gibbon', 'Chocolate Whale', 'Apricot Minnow', 'Crimson Mackerel', 'Aqua Whitefish', 'Yellow Goat', 'Teal Tortoise', 'Blush Rabbit', 'Peach Lark', 'Plum Planarian', 'Plum Caterpillar', 'Blush Heron', 'Red Orangutan', 'Sapphire Fish', 'Yellow Sailfish

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schema = StructType([
      StructField("RecordNumber",IntegerType(),True),
      StructField("Zipcode",IntegerType(),True),
      StructField("ZipCodeType",StringType(),True),
      StructField("City",StringType(),True),
      StructField("State",StringType(),True),
      StructField("LocationType",StringType(),True),
      StructField("Lat",DoubleType(),True),
      StructField("Long",DoubleType(),True),
      StructField("Xaxis",IntegerType(),True),

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# Spark dependencies
from pyspark.sql import SparkSession
from pyspark.sql.functions import *
from pyspark.context import SparkContext
# Glue dependecies
from awsglue.dynamicframe import DynamicFrame
from awsglue.dynamicframe import DynamicFrame
from awsglue.context import GlueContext

from pyspark.sql.types import *

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import pyspark
from pyspark.sql import SparkSession
from pyspark.sql.functions import *
spark = SparkSession.builder.master("local[1]").appName("AWSpark").getOrCreate()
df = spark.read.option("header","true").csv("s3a://aws-stocks-dataset/AAL.csv")
df.show()
df = df.withColumn("date_dt", to_date(col("Date"),"dd-MM-yyyy"))
df = df.withColumn("high_cents", col("High") * 100)
df = df.orderBy(col("High").desc()).limit(10)
df = df.withColumnRenamed("Adjusted Close", "Adjusted_close")

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| Parameter                                    | Description                                                                                                                                                  | Type                                 |
|----------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------|
| spark.hadoop.fs.s3a.access.key               | The access key of your user.                                                                                                                                 | textarea                             |
| spark.hadoop.fs.s3a.secret.key               | The secret key of your user.                                                                                                                                 | textarea                             |
| spark.hadoop.fs.s3a.endpoint      

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aws cloudformation update-stack --stack-name ${StackName} --template-body file://./ec2.yaml --parameters ParameterKey=KeyName,ParamaterValue=testkeypair > cfn.err 2>&1
update_output=$(cat cfn.err)
if [[ $update_output =~ ValidationError && $update_output =~ "No updates" ]]; then
    echo "No updates to perform"
    exit 0
fi

aws cloudformation wait stack-update-complete --stack-name ${StackName}

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Replication controller:
=================================

apiVersion: v1
kind: ReplicationController
metadata:
  labels:
    name: nginx
  name: nginx
spec:

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#!/usr/bin/env bash

TAG="kafka-brokers-demo"

sudo yum install -y jq
sudo yum install -y wget
sudo yum install -y java
cd ~
wget "http://archive.apache.org/dist/kafka/2.1.0/kafka_2.11-2.1.0.tgz"
tar -xvf kafka_2.11-2.1.0.tgz

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class ZeroValue extends Error {}
class OtherValue extends Error {}

function resolveValue(val) {
  return Promise.resolve().then(() => {
    if (!val) throw new ZeroValue();
    throw new OtherValue(val);
  });
}

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factorial 0 = 1 
factorial n = n * factorial (n — 1)