ahoy-jon

#include <SoftwareSerial.h>

SoftwareSerial mySerial(3, 4);



void setup() {

ahoy-jon

scalaVersion := "2.11.8"


name := "datacrunch"

val sparkV = "1.6.1"



libraryDependencies ++= Seq(

ahoy-jon

package com.cym_iot.training.testspark16

import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.{Dataset, Encoder, SQLContext}
import org.apache.spark.{SparkConf, SparkContext}
import shapeless.tag
import shapeless.tag.@@

ahoy-jon

{ "hash": "2b981d4db4f698bcea7266b0bf68bfb4",
  "schema": 
  { "type":"record",
    "name":"schemaCreated",
    "namespace":"com.cym_iot.model",
    "fields":[
      {"name":"hash","type":{"type":"string", "logicalType":"hex/md5"}},
      {"name":"schema","type":"avroSchema"}]}}

ahoy-jon

case class Result[+T](nominal: Option[T],
                      annotations: Vector[Annotation])

// eg: userid=123 => QId("user",123)
case class QId(idFieldname: String,
               value: String)

case class Anchor(path: String @@ AnchorPath,

ahoy-jon

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ahoy-jon

import java.util.Date

import org.apache.spark._
import org.apache.spark.sql.{DataFrame, SQLContext}
import shapeless.tag.@@

import scala.collection.immutable.Range.Inclusive

ahoy-jon

package psug.part0

import scala.language.higherKinds


class Part0 {
  /**
   * HELLO PSUG !!!
   *
   * MY NAME IS AHOY-JON

ahoy-jon

import shapeless.contrib.scalaz.Sequencer
import shapeless.labelled._
import shapeless.ops.hlist.Mapper
import shapeless.syntax.singleton._
import shapeless._

import scala.language.higherKinds
import scalaz.{Apply, Applicative, Functor}

ahoy-jon

lazy val macros = project.in(file("macros"))
lazy val root = project.in(file(".")).dependsOn(macros)