Kevin Cox, SQLCAT
kevincox@microsoft.com
The SQL Server Customer Advisory Team (SQL CAT) represents the customer-facing resources from the SQL
Server Product Group. SQL CAT is comprised of product and solution experts that regularly engage in the
largest, most complex, and most unique customer deployments worldwide.
http://www.microsoft.com/presspass/press/2010/sep10/09-01temenospr.mspx
http://sqlcat.com
//missioncritical – field resources
The Customer Experience (CX) Design Wins Program is how the Microsoft Business Platform Division identifies
and invests in strategic and large-scale customer projects with challenging, unique, and complex applications
running on the Microsoft platform.
optional
optional
optional/limited availability!
optional
Example (SQL Server Qualifying Criteria)
10+ TB DW, 3k tx/s OLTP, Large 500GB+ Cubes, Competitive migrations, Complex deployments, Server Consolidation (1000+)
http://sqlserver/customers/customeradvisoryteam/default.aspx
Category
Largest single database
Largest table
Biggest total data 1 application
Highest database transactions per second 1
db (from Perfmon)
Fastest I/O subsystem in production (SQLIO
64k buffer)
Fastest “real time” cube
data load for 1TB
Largest cube
Metric
70 TB
20 TB
88 PB
130,000
18 GB/sec
Millisecond latency
30 minutes
12 TB
SQL Server Proof Points
VLDB
Mission
Critical
HA/DR
Data
Warehouse
OLTP
Large U.S. Financial
Organization
>1 peta-byte
Critical operations
with > 1,000,000,000 tx/day
High-Volume
Large U.S. Financial
Organization
100% uptime (2008)
100% uptime (2009)
180M incremental
fact rows/day
> 125K tx/second
< 50ms latency
Centipede
> peta-byte
≈ 1 trillion rows
>80GB daily growth
>50 TB by end of 2010
>90GB daily growth
>10B rows in 1 table
Mission Critical
database > 4 TB
Critical operations
with > 15,000 users
Critical operations
at > 2200 facilities
Mission Critical
table > 1.9 billion rows
7x24x365 Synchronous Mirroring
Solution >15B tx/yr
SAP | geo-cluster > 5 miles
No Data Loss | No Down Time
Asynch Mirroring > 400 miles
< 60 sec. recovery
COMING SOON!
(10+1 Clusters)
490TB
9 data nodes
70GB daily growth
<= 3s query response (80%)
700 million rows/day
Incremental growth
5TB Analysis Services data
50TB federated environment
> 30,000 DB tx/Second
> 3,000 tx/Second
> 2B CLR calculations/day
12.4M users (2.7M regular)
> 23k batch requests/sec
4.4M concurrent users
130M monthly users
http://www.microsoft.com/casestudies/casestudy.aspx?casestud
yid=49192
http://www.microsoft.com/casestudies/Case_Study_Detail.a
spx?casestudyid=4000007013
http://www.baselinemag.com/article2/0,1540,2082921,00.as
p
• World’s biggest publicly listed online gaming platform
• World’s biggest publicly listed online gaming platform
• World’s leading provider of online Sports Betting
• One of the largest Poker networks
• Comprehensive range of Payment Service Providing
• Integrated gaming portal - 22 languages,
25 core markets
• More than 20 million registered customers
• 1,500 employees
• bwin builds on the strengths of the web in order
to tie responsibility and gaming
• 15 million page views and up to 980,000
users a day
http://sqlcat.com/whitepapers/archive/2009/08/13/a-technical-case-study-fast-and-reliable-backupand-restore-of-a-vldb-over-the-network.aspx
http://www.microsoft.com/casestudies/Case_Study_Detail.aspx?casestudyid=4000001470
DB size of the benchmark is about 800GB
NEC Express 5800 64 core to host SQL Server.
App servers are scale-out could be consolidated on few
high end machines like DL980 or spread out on lower cost
servers.
Transactions/sec 5203 tps –business transactions. SQL
Server transactions are much lower as they bundle multiple
biz trans in single database tran.
Clustering used for high availability.
Log Shipping for Disaster Recovery.
Repl is used in some deployments as way of reporting
Asia Web
Asia Web
U.S. Web
U.S. Web
U.S. Web
Web Publication
Web Publication
P2P
Financial
P2P Reference
P2P
Reference
DW
Asia Core 1
U.S. Core 1
P2P Financial
P2P
Financial
P2P
Reference
P2P
Financial
P2P
Financial
P2P
Reference
P2P
Financial
P2P
Financial
Read Only
P2P
Reference
P2P
Reference
P2P Financial
P2P
Reference
Asia Core 2
U.S Core 2
P2P Reference
Web
Publication
Web Publication
Asia Web
Asia Web
Asia Web
U.S. Web
U.S. Web
here
www.sqlcat.com
HA Technology Review
RPO
Solutions
No Data
Loss
(RPO=0)
Redundancy and
Utilization
Failover
Hard-ware
App
Perf
Impact
Manageability
Low
Low
Low
*
Low
High
Low
*
Low
Low
Low
Cluster
High***
Low ***
Low***
Transactional
Replication
Low
Low
High
Peer-Peer
Replication
Low
Low
High
Log Shipping
DBM
Sync
Async
Failover Unit
Inst
DB
Tab
Auto
Failover
(RTO)
Read
Multiple
*
+ **
Write
Cost
* Database Mirroring and Log Shipping can provide point in time read capability using STANDBY or database snapshots
respectively
** Database Mirroring provides fastest failover to hot secondary
*** Depends on SAN technology
The key is to build a Balanced System without bottlenecks
NIC
1
4
Network
Server
Memory
2
HBA
3
Disk Subsystem
5
SQL File Layout
SQL Server is only part of the equation. Eco system needs to scale.
Memory
Front side bus contention increases w/ higher #CPUs
LP 0
LP 1
LP 2
LP 3
LP 4
LP 5
Symmetric Multiprocessor Architecture
LP 0
LP 2
LP 1
LP 3
Local Memory Access
Memory
Foreign
Memory
Access
Non-Uniform Memory Access
Foreign memory access > local memory access
LP 6
LP 7
PDW Appliance
Control Rack
Compute Rack
Compute Nodes
Control Nodes
Storage Nodes
Database Servers
Active / Passive
SQL
SQL
Example Based
on HP Architecture
SQL
Management Servers
SQL
SQL
SQL
SQL
Backup Node
SQL
SQL
SQL
Spare Database Server
SQL
Dual Fiber Channel
Dual Infiniband
Landing Zone
SQL
Compute Nodes:
HP DL380 G6
HP MSA
Your input is important!
https://www.MyTechReady.com
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