This webinar will explore the secrets, dos and don’ts, benefits and caveats behind Read-write Splitting.

1. Webinar: Scaling MySQL
Catch 22 of Read Write Splitting
January 17, 2013

2. Agenda
1. Who We Are
2. The Scalability Problem
3. How We Solve it with Read/Write Splitting
4. Customer ROI/Case Studies
5. Q & A
(please type questions directly into the GoToWebinar side panel)
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3. Who We Are
Presenters: Paul Campaniello,
VP of Global Marketing
25 year technology veteran with
marketing experience at Mendix,
Lumigent, Savantis and Precise.
Doron Levari, Founder
A technologist and long-time
veteran of the database industry.
Prior to founding ScaleBase, Doron
was CEO to Aluna.
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4. Who We Are
ScaleBase allows apps
to cost-effectively scale
to an infinite number of users,
with NO disruption to the existing infrastructure
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5. The ScaleBase Data Traffic Manager
• Database Scalability
– Scale out relational databases
to unlimited users
– Real-time elasticity
• Database Availability
– Enable high availability of all
apps
• Centralized Management
– Removes complexity and
provides a unified point of
management for distributed
database environments
• Improves performance
Requires NO changes to your existing infrastructure
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6. Pain Points – The Scalability Problem
• Thousands of new online and mobile
apps launching every day
• Demand climbs for these apps and
databases can’t keep up
• App must provide uninterrupted
access and availability
• Database performance and
scalability is critical
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7. Big Data = Big Scaling Needs
Big Data = Transactions + Interactions + Observations
Sensors/RFID/Devices Mobile Web User Generated Content Spatial & GPS Coordinates
BIG DATA
Petabytes User Click Stream Sentiment Social Interactions & Feeds
Web Logs Dynamic Pricing Search Marketing
WEB
Offer History A/B Testing Affiliate Networks
Terabytes External
Demographics
Segmentation Customer Touches
CRM
Business Data
Offer Details Support Contacts Feeds
Gigabytes
HD Video, Audio, Images
Behavioral
ERP
Purchase Detail
Targeting Speech to Text
Purchase Record
Product/Service Logs
Payment Record Dynamic
Funnels
SMS/MMS
Megabytes
Increasing Data Variety and Complexity
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The 451 Group & Teradata

8. Scalability Pain
Infrastructure
Cost $
Large You just lost
Capital customers
Expenditure
Predicted
Demand
Opportunity Traditional
Cost Hardware
Actual
Demand
Dynamic
Scaling
time
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9. Ongoing “Scaling MySQL” Series
• August 16 & September 20, 2012
– Scaling MySQL: ScaleUp versus Scale Out
• October 23, 2012
– Methods and challenges to Scale out MySQL
• December 13, 2012
– Benefits of Automatic Data Distribution
• Today
– Catch 22 of read-write splitting
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10. The Database Engine is the Bottleneck...
• Every write operation is At Least 4 write operations inside the DB:
– Data segment
– Index segment
– Undo segment
– Transaction log
• And Multiple Activities in the DB engine memory:
– Buffer management
– Locking
– Thread locks/semaphores
– Recovery tasks
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11. The Database Engine is the Bottleneck
• Every write operation is At Least 4 write operations inside the DB:
– Data segment
– Index segment
– Undo segment Now multiply
– Transaction log by 10TB
accessed by
• And Multiple Activities in the DB engine memory:
10000
– Buffer management
concurrent
– Locking
sessions
– Thread locks/semaphores
– Recovery tasks
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12. So… Let’s get to work!
• I’m growing, have more users, need to support more
throughput thru scale-out
• Solution:
– Create replicated database servers
– Distribute the sessions across those database servers. Read /
Write splitting:
– Reads use the slaves
– Writes go to the master
• Benefits:
– Better resource consumption
– Get more read throughput
– Get more write throughput
– Awesome!
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13. Read / Write Splitting
Replication
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14. If Done Alone…
• Application code needs to be changed
• Maintain 2 connection pools
– Write – master
– Reads – A blend of all slaves
• Every flow, in its beginning, disclaims:
– “I will do only reads”
– “I will do reads and writes”
– What’s the default?
• Result:
– Writing code, maintaining code
– Maintaining database ops in the app: add/remove slaves, change
IPs...
– Master database is far more occupied than it should be
– Reads are not well balanced
– What if replication breaks?
– Can I read stale data?
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15. Read / Write Splitting with ScaleBase
• 0 code changes and 0 code maintenance
• Reads run faster
• Writes run faster
• Better resource utilization/load balancing
• Improved data consistency/transaction isolation
• Built-in failover with high availability
• Database aware, replication state aware, replication lag aware
• Real time monitoring and alerts
• Centralized management dashboard
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16. Read / Write Splitting
Current
Replication
With ScaleBase
Replication
Application Experience
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17. Read/Write Splitting
Read
Write
APPLICATION /
USERS
WEB SERVERS
Replication
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18. Scale Out with Amazon AWS RDS Read Replica
Current
RDS Read Replicas
With ScaleBase
RDS Read Replicas
Application Experience
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19. Choose Your Scale-out Path
Data Distribution
Database Size
Read/Write Splitting
1 DB?
Good for me!
# of concurrent sessions
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20. Scaling Out Achieves Unlimited Scalability
160000
140000
120000
100000
Throughput
84000
80000 Throughput (TPM)
Total DB Size (MB)
60000 60000 # Connections
48000
40000
36000
24000 2500
20000 2000
12000 1500 1500
6000 1000
0 500 500
1 2 4 6 8 10 14
Number of Databases
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21. Detailed Scale Out Case Studies
One of world's largest &
most widely respected
manufacturers of smart
phones and
telecommunications
hardware & software
AppDynamics Mozilla Solar Edge
• Device Apps App • Next gen APM • New Product/ • Next Gen
• Availability company Next Gen App/ Monitoring App
• Scalability • Scalability for the AppStore • Massive Scale
• Geo-clustering Netflix • Scalability • Monitors real
implementation • Geo-sharding time data from
• 100 Apps
thousands of
• 300 MySQL DB
distributed
systems
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22. Summary
• Database scalability is a significant problem
– App explosion, Big Data, Mobile
• Scale Up helps somewhat, but Scale Out provides
a long-term, cost-effective solution
• ScaleBase has an effective Scale Out
solution with a proven ROI
– Improves performance &
requires NO changes to
your existing infrastructure
• Choose your scale-out path....
– The ScaleBase platform enables
you to start with R/W splitting and
grow into automatic data distribution
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23. Questions (please enter directly into the GTW side panel)
617.630.2800
www.ScaleBase.com
doron.levari@scalebase.com
paul.campaniello@scalebase.com
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24. Thank You
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