chrisalbright

#! /bin/bash

EC2_METADATA=http://169.254.169.254/latest
REGION=$(curl -s $EC2_METADATA/dynamic/instance-identity/document | jq -r '.region')
INSTANCE_ID=$(curl -s $EC2_METADATA/meta-data/instance-id);
INSTANCE_IP=$(curl -s $EC2_METADATA/latest/meta-data/local-ipv4);

cat > /etc/init.d/cloudmap-register <<-EOF
#! /bin/bash -ex
aws servicediscovery register-instance \

chrisalbright

Largest 1000 Cities in America
2013 popuation data - Biggest US Cities By Population

rank,city,state,population,2000-2013 growth

1,New York,New York,8405837,4.8%
2,Los Angeles,California,3884307,4.8%
3,Chicago,Illinois,2718782,-6.1%
4,Houston,Texas,2195914,11.0%
5,Philadelphia,Pennsylvania,1553165,2.6%

chrisalbright

/**
  * I'm trying to learn type classes in Scala. I've got
  * a decent handle on Scala itself, but the intricacies
  * of the Type system are still foreign to me.
  *
  * I decided to start with what I thought would be a
  * simple enough problem: Convert a Thing into a String
  */
object TypeClass {
  /**

chrisalbright

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

chrisalbright

// Coproduct is extension of Either concept, to N multually exlusive choices

type ISB = Int :+: String :+: Boolean :+: CNil

val isb = Coproduct[ISB]("foo")                   //> isb  : qaaz.ISB = foo

isb.select[Int]                                   //> res0: Option[Int] = None

isb.select[String]                                //> res1: Option[String] = Some(foo)

chrisalbright

Keybase proof

I hereby claim:

• I am chrisalbright on github.
• I am chrisalbright (https://keybase.io/chrisalbright) on keybase.
• I have a public key ASCdMBAs9JenzGWR0Py3YKnO1jGUeVRGA8bofGT2OTcl3Qo

To claim this, I am signing this object:

chrisalbright

<a href='javascript:(function(){var a=alert,b=Date,c=Number,d="";if("undefined"!=typeof window.getSelection){var e=window.getSelection();if(e.rangeCount){for(var f=document.createElement("div"),g=0,h=e.rangeCount;g<h;++g)f.appendChild(e.getRangeAt(g).cloneContents());d=f.innerHTML}}else"undefined"!=typeof document.selection&&"Text"==document.selection.type&&(d=document.selection.createRange().htmlText);a(new b(c(d)));})();'>Parse Epoch</a>

chrisalbright

; http://www.ietf.org/rfc/rfc3339.txt
; and http://www.odata.org/documentation/odata-version-3-0/abnf/

oneToNine = "01" / "02" / "03" / "04" / "05" / "06" / "07" / "08" / "09"
zeroToNine = "00" / oneToNine

oneToTwelve = oneToNine / "1" ( "0" / "1" / "2" )

oneToThirteen = oneToTwelve / "13"

chrisalbright

ack-grep -c 'eval\(base64_decode' --php | grep -ve '0$' | cut -d: -f1 | xargs perl -pi -e 's@<..*eval.base64_decode..*?>@@'

chrisalbright

/* Example using MultipleOutputs to write a Spark RDD to multiples files.
   Based on saveAsNewAPIHadoopFile implemented in org.apache.spark.rdd.PairRDDFunctions, org.apache.hadoop.mapreduce.SparkHadoopMapReduceUtil.

  val values = sc.parallelize(List(
    ("fruit/items", "apple"),
    ("vegetable/items", "broccoli"),
    ("fruit/items", "pear"),
    ("fruit/items", "peach"),
    ("vegetable/items", "celery"),
    ("vegetable/items", "spinach")