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1	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Analy>cs	
Moderniza>on:	
Configuring	SAS®	Grid	
Manager	for	Hadoop	
Mark	Lochbihler,	Principle	Architect	
Hortonworks	
	
April	21,	2017
2	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Presenter	
Presenter:	Mark	Lochbihler	-	Hortonworks,	Inc.		
Mark	is	a	Principal	Architect	with	27	years	of	SAS	
experience,	having	spent	17	years	within	Financial	
Services.		He	is	currently	in	his	fourth	year	at	
Hortonworks	and	is	focused	on	integra>ng	the	Hadoop	
ecosystem	with	strategic	partner	ecosystem	products	
and	solu>ons.		Mark	has	a	BS	in	Computer	Science	from	
North	Carolina	State	University	and	also	holds	a	Six	Sigma	
Black	Belt.
3	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Agenda	
Ã  Why	
Ã  Architecture	
Ã  Real	world	Sizing	
Ã  Configura>on	Details	
Ã  Demo	-	User	Perspec>ve	
Ã  Migra>on	Considera>ons	
Ã  Call	to	Ac>on
4	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Why	Move	SAS	Workloads	to	Hadoop?	
Ã  Lower	infrastructure	and	storage	costs	
Ã  Op>mize	performance	
Ã  Minimize	administra>ve	overhead
5	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Clickstream Web	
&	Social
Geolocation Sensor	
& Machine
Server	
Logs
Unstructured
SOURCES
Existing Systems
ERP CRM SCM
ANALYTICS
Data
Marts
Business
Analytics
Visualization
& Dashboards
ANALYTICS
Applications
Business
Analytics
Visualization
& Dashboards
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
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°
°
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HDFS
(Hadoop Distributed File System)
YARN: Data Operating System
Interactive Real-TimeBatch
SAS Grid
Manager
Batch BatchMP
P
EDW
Hadoop	and	YARN	101	
Figure	1:		A	Hadoop	Cluster	running	Batch,	Interac>ve	and	Real	Time	Engines,	
including	SAS	Grid	Manager.
6	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Figure	2:	SAS	Grid	Manager	for	Hadoop	Conceptual	Architecture
(Reference:	SAS	Grid	Manager	for	Hadoop)
7	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
	
KEY	SAS	GRID	ARCHITECTURE	COMPONENTS	
	
Ã  SAS	Metadata	Server	–	A	SAS	service	suppor>ng,	among	other	objects,	the	logical	to	
physical	mapping	of	SAS	Logical	Servers	to	YARN.		In	our	examples,	we	will	be	using	
the	local	SAS	Server,	SASGrid.	
Ã  SAS	Grid	Control	Server	–	A	SAS	service	running	on	the	YARN	Resource	Manager	
node.		It	is	called	by	SAS	clients	to	communicate	with	YARN	Resource	Manager	to	
nego>ate	resources	for	SAS	jobs.	
Ã  SAS	Object	Spawner	–	A	SAS	Service	running	on	the	YARN	Resource	Manager	node.		
It	is	used	to	launch	SAS	contains	with	YARN.		
Ã  SAS	Clients	–	includes	SAS	batch	jobs,	SASGSUB	(a	batch	grid	u>lity),	and	interac>ve	
Clients	like	SAS	Enterprise	Guide.		SAS	Clients	will	“Connect”	and	“Disconnect”	from	
a	SAS	Logical	Server,	like	SASGrid,	defined	in	SAS	Metadata	and	shown	above	in	
Figure	4.
8	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
	
KEY	HADOOP	INTEGRATION	POINTS	FOR	SAS	GRID	
	
Ã  YARN	Resource	Manager	–	A	Hadoop	YARN	Master	Service	responsible	for	
controlling	global	Hadoop	cluster	resource	usage.		Resource	Manager	enables	mul>-
tenancy	and	SLAs.		It	is	also	responsible	for	monitoring	Node	Manager	State,	
submieng	Applica>on	Master	requests,	verifying	container	launch	and	monitoring	
Applica>on	Master	state.			
Ã  YARN	Node	Manager	–	This	Hadoop	YARN	Worker	Node	Service	manages	local	
resources	on	behalf	of	the	reques>ng	service.		It	also	tracks	node	health	and	
communicates	status	to	the	Resource	Manager.	
Ã  YARN	Capacity	Scheduler	–	A	Hadoop	YARN	service,	which	can	be	configured	to	
provide	Job	Scheduling	policies	for	SLAs,	Users,	Groups,	and	Resources.	
Ã  Hadoop	Data	Nodes	–	Hadoop	Distributed	File	System	(HDFS)	storage	nodes.	
Ã  Kerberos	Service	–	The	Hadoop	cluster	must	be	Kerborized.
9	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Ã  A	SAS	Grid	Control	Server	and	SAS	Object	Spawner	must	be	deployed	on	the	same	
Hadoop	Master	Node	as	the	YARN	Resource	Manager.	
	
HADOOP	MASTER	NODE	DECISIONS
10	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
YARN	NodeManager YARN	NodeManager YARN	NodeManager YARN	NodeManager
Job1	Container	1.1
YARN	NodeManager YARN	NodeManager YARN	NodeManager YARN	NodeManager
YARN	NodeManager YARN	NodeManager YARN	NodeManager YARN	NodeManager
Job1	Container	1.2
Job1	Container 1.3
Job	1	AM 1 SAS	AM 2
SAS Grid Manager w YARN Architecture Overview
SAS	Client
• SASGSUB
• SAS	Batch
• SAS		EG
YARN	ResourceManager
YARN	
Capacity	
Scheduler
SAS	Grid	
Control	Server
SAS	Object	
Spawner
SAS Metadata	
Server
SAS	Container	2.1
Figure	3:	SAS	Grid	Manager	for	Hadoop	w	YARN	Architecture	Overview
11	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
	
HADOOP	WORKER	NODE	DECISIONS	
	
Ã  SASHOME	and	SASCONFIG			
For	each	Hadoop	Worker	Node	which	is	a	candidate	to	run	SAS	jobs	must	be	configured	so	that	
SASHOME	and	SASCONFIG	are	available.	
	
Ã  SASWORK	and	SASUTIL			
It	is	cri>cal	that	each	Hadoop	Worker	node	which	is	a	candidate	to	run	SAS	jobs	is	configured	
correctly.		A	large	part	of	the	I/O	required	when	running	SAS	analy>cs	is	to	the	scratch	or	temporary	
loca>ons	of	SASWORK	and	SASUTIL.		SAS	required	I/O	throughput	for	these	file	systems,	to	provide	
the	necessary	performance	to	a	heavily	loaded	system,	is	100MB/sec/core.		Adequate	sizing	for	
SASWORK	is	also	necessary.	
	
Ã  TradiRonal	Storage	and	Compute	Verse	Compute	Only	Worker	Nodes	
Within	Hadoop,	it	is	a	common	prac>ce	to	have	dual	purpose	worker	nodes	which	run	math	or	programs	near	on	the	
same	nodes	where	the	Hadoop	data	resides.		With	Hadoop	2.x,	the	concept	of	dedicated	Compute	Only	Hadoop	Worker	
Nodes	is	an	op>on.		For	SAS	Grid	Manager	for	Hadoop,	both	op>ons	are	an	op>on.		For	Compute	Only,	these	Hadoop	
Worker	Nodes	will	no	longer	host	the	required	services	and	data	for	HDFS,	giving	more	compu>ng	resources	dedicated	to	
the	programs	running	on	these	nodes.	The	tradeoff	for	Compute	Only	Hadoop	Nodes	is	the	loss	of	HDFS	data	locality.		
Your	sites	SAS	workload	requirements	will	determine	which	type	of	Worker	Nodes	to	deploy	for	SAS	Grid	Manager	for	
Hadoop.
12	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Figure	4:	View	of	SAS	Management	Console,	with	expanded	SASGrid	Logical	Server.
13	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
	
REAL	WORLD	CONFIGURATION	EXAMPLE		
	
Total	RAM	
Per	Cluster	
Node
Available	
Container	RAM	
Per	Node
#	Worker	
Nodes	in	
Cluster
Total	
Container	
RAM	
Available
Amount	of	Cluster	
RAM	Allocated	to	
SAS	Queue
Total	Container	
RAM	for	SAS	
Queue
256GB 192GB 28 5.376TB 50% 2.688TB
Average	#	of	Batch	Jobs	or	
InteracRve	Sessions	per	
SAS	User
#	Containers	Per	
Job	or	Session
Average	#	of	AddiRonal	Hadoop	
Containers	Spawned	from	iniRal	
SAS	Job	Container
Average	Total	#	of	
Containers	per	SAS	
user
2 2 4 8
Table	1:	Total	Cluster	YARN	Container	RAM	Available	for	SAS	Users
Table	2:	Average	Number	of	Containers	per	SAS	Users
14	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
REAL	WORLD	CONFIGURATION	EXAMPLE	(ConRnued)	
SAS	AppType		
(User	Type)
Container	
Size
AnRcipated	%	of	
Users	Type	on	Server
Available	Cluster	
Memory	for		
SAS	jobs
Max	#	of	
Containers
Average	#	
Containers	Per	
SAS	User
Total	#	of	
SAS	Users	
Low	(General/Analyst)
2GB 70% 1.881TB 940 8 117
Medium 4GB 20% 537GB 134 8 16
High 8GB 10% 268GB 33 8 4
	 	 Totals 2.688TB 1107 	 134
Table	3:	Breakdown	of	SAS	Applica>on	Types	to	be	configured	for	SAS	Users
15	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
YARN Capacity Scheduler
Example: 50% of Cluster RAM allocated to SAS Queue
ResourceManager
Scheduler
root
Adhoc
30%
SAS
50%
Mrkting
20%
Dev
10%
Reserved
20%
Prod
70%
Prod
80%
Dev
20%
P0
70%
P1
30%
Capacity Scheduler
Hierarchical
Queues
REAL	WORLD	CONFIGURATION	EXAMPLE	(ConRnued)		
Figure	5:		YARN	Capacity	Scheduler	Logical	View	-	SAS	Queue	-	50%	Hadoop	Cluster	RAM
16	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
REAL	WORLD	CONFIGURATION	EXAMPLE	(ConRnued)		
Figure	6:		YARN	Capacity	Scheduler	Admin	View	-	SAS	Queue	-	50%	Hadoop	Cluster	RAM
17	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
(SAS	Grid	Policy	File	-	Grid	Applica>on	Type	“Low”	sec>on)	
	 	<?xml	version="1.0"	encoding="UTF-8"	standalone="yes"?>	
	
	 	 	<GridPolicy	defaultAppType="low"> 			
	
	 	 	<GridApplica+onType	name="low">	
	 	 	 	 	<jobname>SAS	Low</jobname>	
	 	 	 	 	<priority>10</priority>	
	 	 	 	 	<nice>0</nice>	
	 	 	 	 	<memory>2048</memory>	
	 	 	 	 	<vcores>1</vcores>	
	 	 	 	 	<runlimit>480</runlimit>	
	 	 	 	 	<queue>sas94_queue</queue>	
	 	 	 	 	<hosts>	
																								 	 	 	 	<hostGroup>sas94_work</hostGroup>	
																							 	 		</hosts>	
															 		</GridApplicaUonType>	
		
	 	………….………….	ConUnued	in	paper	……………………………….. 		
					
REAL	WORLD	CONFIGURATION	EXAMPLE	(ConRnued)
18	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
REAL	WORLD	CONFIGURATION	EXAMPLE	(ConRnued)		
Figure	7:	Configuring	SAS	Metadata	Groups	to	SAS	Grid	Applica>on	Types
19	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
	
A	DAY	IN	THE	LIFE	OF	A	SAS	USER	LEVERAGE	SAS	GRID	
	
	
	
		 		 					DEMO
20	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
	
SAS	WORKLOAD	MIGRATION	CONSIDERATIONS	
	
Ã  Compliment	your	exis>ng	SAS	Infrastructure	-	its	not	a	forklio	migra>on	
Ã  Iden>fy	SAS	Storage	Cost	Saving	Opportuni>es	
•  libname	to	hive	
•  libname	to	hdfs	
•  filename	to	hdfs	
Ã  Iden>fy	SAS	Workload	Compute	Migra>on	Opportuni>es	
•  SAS	Jobs	that	will	be	using	large	datasets	stored	in	Hadoop	are	ideal	
candidates	
•  SAS	Jobs	that	would	benefit	from	SAS	In	Database	Push	Down	to	Hive
21	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
Call	to	AcRon	
Ã  Learn	More:	Click	apachments	tab	in	Brighpalk	for	links	
– Or	search	Hortonworks.com	for	Analy>cs	Moderniza>on	
Ã  Get	Started:		
– Download	the	Hortonworks	Sandbox:	
– click	Get	Started	on	hortonworks.com	
Ã  Contact	Us:	Call	or	fill	out	the	contact	form		
– click	Get	Started	on	hortonworks.com
22	 ©	Hortonworks	Inc.	2011	–	2016.	All	Rights	Reserved	
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