BradRuderman

db.users.find({"AttorneyLeadScore":{$exists:true}}).forEach(function(doc){
    if (doc.AttorneyLeadScore && doc.AttorneyLeadScore.length > 0){
        var as = doc.AttorneyLeadScore;
        if (typeof(as[0]) == 'string'){
            for (var i = 0; i < as.length; i++){
                as[i] = parseInt(as[i]);
            }
            print("Updating " + doc._id + ' to ' + as.toString());
            //db.users.update({"_id":doc._id},{$set : { 'AttorneyLeadScore' : as}});
        }

BradRuderman

import requests, datetime, time

class PyMarketo(object):

  def __init__(self, client_id, client_secret, instance_id):
    self.client_id = client_id
    self.client_secret = client_secret
    self.instance_id = instance_id
    self.url = "https://{0}.mktorest.com".format(self.instance_id)
    self.get_token()

BradRuderman

As a business user I want my KPI chart to be updated in realtime. Currently our KPI summary look is built using a PDT. 
The reason is because we want to show the count of different events around the same time dimension. 
For example if I want to show the number of orders completed and number of orders shipped in the same look.

| order_id | ordered_at | shipped_at|
1 | 2016-01-01 | 2016-01-02
2 | 2016-01-01 | 2016-01-01

Filter = 2016-01-01
Orders Complete | Orders Shipped

BradRuderman

SELECT cookies
FROM user_tracking;

"{""ut"": ""53c634eaf8c00000"", ""_ga"": ""GA1.2.940800967.1439230570"", ""_gat"": ""1"", ""kvcd"": ""1445290560648"", ""km_ai"": {""$oid"": ""55c919683dab086217cc148a""}, ""km_lv"": ""x"", ""km_ni"": {""$oid"": ""55c919683dab086217cc148a""}, ""km_uq"": """", ""km_vs"": ""1"", ""__unam"": ""efb39fc-14f1e3fe5c5-562d6fa2-41"", ""optimizelyBuckets"": ""{\""2945870022\"":\""2917090094\"",\""3266580013\"":\""3267360019\"",\""3526560225\"":\""3549300107\""}"", ""optimizelySegments"": ""{\""286422970\"":\""false\"",\""286623248\"":\""gc\"",\""286939202\"":\""referral\"",\""1668900787\"":\""gc\"",\""1675520668\"":\""direct\"",\""1676290438\"":\""false\"",\""2150870732\"":\""gc\"",\""2154301211\"":\""direct\"",\""2170820224\"":\""false\""}"", ""optimizelyEndUserId"": ""oeu1439230569544r0.09696912136860192""}"


SELECT cookies->'optimizelyBuckets'
FROM user_tracking;

"""{\""2945870022\"":\""2917090094\"",\""3266580013\"":\""3267360019\"",\""3526560225\"":\""3549300107\""}"""

BradRuderman

var timeoutHandle;
var i=0;

function worker(){

  function onDelete(err){
    if(err){
      console.log(err);
    }
  }

BradRuderman

27836
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32928
34088
35168
36288
38592
40704

BradRuderman

from os.path import expanduser
import os
import hashlib    

#Replace the following line with the location of your photo's library. The default location is the home
#directory.
PATH_TO_PHOTOS_LIBRARY = expanduser("~") + '/Pictures/Photos Library.photoslibrary'
hashes = []

for subdir, dirs, files in os.walk(PATH_TO_PHOTOS_LIBRARY + '/Masters'):

BradRuderman

@RestResource(urlMapping='/ConvertLead/')
global with sharing class RestLeadConversion {            
	public static Boolean THROW_EXCEPTION = false;
	public class UnhandledException extends Exception {}

	public static void generateExceptionForTesting() {
		if (Test.isRunningTest() && THROW_EXCEPTION) { 
			throw new UnhandledException('Exception for testing');
		}
	}

BradRuderman

file a.js
------------

var users = {};
var tests = {};

MakeUsesrHttpCall(function(err,res){
  users = res;
});

BradRuderman

var config = require('../../config/config.js'),
    RedisQueue = require('simple-redis-safe-work-queue');

function processEvent(e, cb) {
  console.log("Processing Event");
  cb();
}

var options = {
  host: config['redisConnection'],