joeljacobson

object Application extends Controller {
	val FBAppId = "AppIdGoesHere"
			val FBAppSecret = "FBAppSecretGoesHere"

		def fbLogin = Action {Redirect("https://www.facebook.com/dialog/oauth?scope=user_birthday,email,user_about_me,user_location,offline_access,publish_stream,user_education_history,user_checkins" +
			"&client_id="+FBAppId+"&redirect_uri="+URLEncoder.encode("http://domainname.com/fbLogin/code","UTF-8"))}

	def fbLoginCode(code:String) = Action{response =>

	val ws = WS.url("https://graph.facebook.com/oauth/access_token?client_id="+FBAppId+"&redirect_uri" +

joeljacobson

lang en_US
langsupport en_US
keyboard us
timezone Etc/UTC
text
install
skipx
halt

# Ridiculous URL... I know...

joeljacobson

### DML ###

# Keyspace Name
keyspace: stresscql

# The CQL for creating a keyspace (optional if it already exists)
keyspace_definition: |
  CREATE KEYSPACE stresscql WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1};

# Table name

joeljacobson

#Use Case

A bank wants to help locate and tag all their expenses/transactions in their bank account to help them categorise their spending. The users will be able to tag any expense/transaction to allow for efficient retrieval and reporting. There will be 10 millions customers with on average 500 transactions a year. Some business customers may have up to 10,000 transactions a year. The client wants the tagged items to show up in searches in less than a second to give users a seamless experience between devices.

The client would like

1. to understand how this can be done with DSE
2. some latency examples of how they can search all of a users data
3. the user to be able to filter the queries using time as well as tags e.g. show me all shopping vs luxury in the last 3 months.
4. some assurances that peak traffic of over 10,000 writes, 4,000 reads and 1000 searches per second can be accommodated by the solution using DSE.

joeljacobson

Latency Comparison Numbers
--------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

joeljacobson

Setup

These instructions are for DC/OS 1.11.0 and Kubernetes package 1.0.0-1.9.3.

Service Accounts

Install the DC/OS Enterprise CLI, then create a keypair and a service account for Kubernetes. Securely store the private key in the DC/OS secrets store.