randerzander

sudo su
yum update -y
yum install -y wget git

curl -fsSL https://get.docker.com/ | sh 
service docker start
curl -L https://github.com/docker/compose/releases/download/1.15.0/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
mv /usr/local/bin/docker-compose /usr/bin
usermod -aG docker centos

randerzander

FROM centos

# minifi-cpp build
RUN yum install -y git
RUN yum install -y wget
RUN yum install -y epel-release
RUN yum groupinstall -y 'Development Tools'
RUN yum install -y cmake
RUN yum install -y boost-devel boost-static libxml2-static libxml2-devel libuuid-devel leveldb-devel

randerzander

import spark.implicits._
import org.apache.spark.sql.types._
import org.apache.spark.sql.Row

val schemaString = sc.textFile("/data.csv").take(1)(0)
val rdd = sc.textFile("/data.csv").filter(line => line != schemaString)
val fields = (schemaString.split(",").slice(0, 9) ++ Array("stat", "value"))
  .map(fieldName => {
    if (fieldName contains "value")
      StructField(fieldName, DoubleType, nullable = true)

randerzander

from org.apache.commons.io import IOUtils
from java.nio.charset import StandardCharsets
from org.apache.nifi.processor.io import StreamCallback
import os, sys, imp, traceback, time

parser_path = '/scripts/parsers/'

class PyStreamCallback(StreamCallback):
  def __init__(self, result):
    self.result = result

randerzander

import json
from org.apache.commons.io import IOUtils
from java.nio.charset import StandardCharsets
from org.apache.nifi.processor.io import StreamCallback

class PyStreamCallback(StreamCallback):
  def __init__(self): pass
  def process(self, instream, outstream):
    # To read content as a byte array:
    # data = IOUtils.toByteArray(instream)

randerzander

%angular
<div id="map" style="height:500px;width:100%;"></div>
<script type="text/javascript">
function initMap() {
  var USA = {lat: 39.8282, lng: -98.5795};
  var map = new google.maps.Map(document.getElementById('map'), {zoom: 17, center: USA });
  
  var POIs = {};
  $.each(window.angularVars.data, function(i, v){
    POIs[v.values[0]] = v.values;

randerzander

%angular
<link rel="stylesheet" href="https://unpkg.com/[email protected]/dist/leaflet.css" />
<script src="https://unpkg.com/[email protected]/dist/leaflet.js"></script>
<div id="mapid" style="height:500px;"></div>
<script type="text/javascript">
var Leaflet = L.noConflict();
    var map = Leaflet.map('mapid', {center: [40,-97], zoom: 4});
    var tiles = Leaflet.tileLayer("http://{s}.tile.osm.org/{z}/{x}/{y}.png").addTo(map);
    var states = [{
        "type": "Feature",

randerzander

{
  "paragraphs": [
    {
      "title": "Page Setup",
      "text": "%angular\n\u003cscript src\u003d\"https://cdn.plot.ly/plotly-latest.min.js\"\u003e\u003c/script\u003e\n\u003cdiv id\u003d\"dummy\" vars\u003d\"data,dataSchema\"\u003e\u003c/div\u003e\n\u003cscript type\u003d\"text/javascript\"\u003e\n  var div \u003d $(\u0027#dummy\u0027);\n  //Given an element in the note \u0026 list of values to fetch from Spark\n  //window.angularVars.myVal will be current value of backend Spark val of same name\n  function hoist(element, varNames){\n    window.angularVars \u003d {};\n    var scope \u003d angular.element(element.parent(\u0027.ng-scope\u0027)).scope().compiledScope;\n    $.each(varNames, function(i, v){\n      window[v+\u0027-watcher\u0027] \u003d scope.$watch(v, function(newVal, oldVal){\n        console.log(\u0027Setting \u0027 + v + \u0027 to:\\n\u0027);\n        console.log(newVal);\n        window.angularVars[v] \u003d newVal;\n      });\n    });\n  }\n  hoist(div, div.attr(\u0027vars\u0027).split(\u

randerzander

%angular
<input id="textbox" class="hide" ng-model="someAngularVar"></input>
<button id="btn" type="submit" onclick="update()">UpperCase It!</button>
<script type="text/javascript">
function update(){
  var element = $('#textbox');
  var currentVal = element.val();
  
  //Update the value
  element.val(currentVal.toUpperCase());

randerzander

//Get list of distinct values on a column for given table
def distinctValues(table: String, col: String) : Array[(String, String)] = {
  sqlContext.sql("select distinct " + col + " from " + table + " order by " + col).collect.map(x => (x(0).asInstanceOf[String], x(0).asInstanceOf[String]))
}

//Get list of tables
def tables(): Array[(String, String)] = {
 sqlContext.sql("show tables").collect.map(x => (x(0).asInstanceOf[String], x(0).asInstanceOf[String]))
}