Future Proofing MySQL by Robert Hodges, Continuent

©Continuent 2012.

Future-Proofing MySQL for the Worldwide

Data Revolution

Robert Hodges, CEO

©Continuent 2012

What is Future-Proo!ng?

• Future-proo!ng = creating systems that last while parts change and improve

• MySQL is not losing out to other solutions for data management

• The real problem is using MySQL as a building block with other technologies that are changing rapidly

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But Wait... Isn’t MySQL Dead??

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MySQL

“You were so open”Born

May 25, 1995

Died2008, 2009, 2010,

2011, 2012, ...

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Oracle/MySQL 5.6 Replication (On the Way)

• Global transaction IDs

• Parallel slave threads

• Crash safe slaves

• Optimized row updates

• Time delay replication

• Informational log events

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Galera Synchronous Clusters (New Arrival in 2012)

• Multi-master for InnoDB

• Synchronous replication avoids data loss

• Automatic cluster membership management

• Simple node provisioning model

• Based on innovative state-machine work from Fernando Pedone

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Tungsten Async Replication (2011 Belle of the Ball)

• All 5.6 features including parallel replication for MySQL 5.0 onwards

• Optimized support for failover

• Programmable transaction !ltering

• Backup/restore integration

• Multi-master, fan-in, and star replication

• Replication to/from Oracle and batch loading of data warehouses

• Replication to MongoDB

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Not Bad for a Dying Market

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MySQL,'88%'

NoSQL,'5%'

NewSQL,'2%'

My/NewSQL,'5%'

0"100"200"300"400"500"600"700"800"900"1000"

2011" 2012" 2013" 2014" 2015"

THE$TOTAL$MARKET$FOR$MYSQL,$NOSQL$$AND$NEWSQL$$

Text

(451Group)

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• Cloud and Big Data investment dwarf the MySQL marketplace

MySQL Is Part of Bigger Trends

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21st Century CRM/Call Center

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CRM WebApplication

Telephony Data Streams

CRM WebApplication

Telephony Data Streams

Legacy Oracle

Fat ClientAccounting

Call Session Data

Hadoop Analytics

Online TransactionProcessing

Amazon Web ServicesOn-Premise

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Revolutionary Challenges for MySQL

• Failures in unstable cloud environments

• Zero-downtime maintenance

• Rapidly growing data volumes, esp. in cloud

• Distributing data to geographical regions

• Integration between MySQL, NoSQL, commercial RDBMS

• Supplying real-time analytics

• Technology upgrade/replacement

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The Cure for Mixed System Spaghetti

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Encapsulated, fault-tolerant, horizontally scalable, globally

accessible, integrated data

Data Fabrics

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Data Fabric Design Patterns

• Connector

• Fault-Tolerant Data Service

• Sharded Data Service

• Multi-Site Data Service

• Real-Time Data Bridge

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Tungsten Connector

Three-node Tungsten Cluster

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• Single point of entry for applications

• Service catalog locates data within fabric

• Transparent connectivity, multiple protocols

• Security, auditing, performance management

1. Connector

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Connector

Connector

ApplicationStack

ApplicationStack

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2. Fault-Tolerant Data Service

• Encapsulate redundant database copies

• Sync and async clustering models

• Protect against local DBMS failure

• Rolling maintenance of replicas

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Master/Slave

Multi-Master

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3. Sharded Data Service

• Partition datasets based on RAM / storage speed / resident set size

• Multiple buckets per server

• Look-up methods for locating data in buckets

• Re-sharding / migration for high growth

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4. Multi-Site Data Service

• Robust protection against region/site failures

• Geographic distribution of data

• Primary/DR vs. multi-master

• Eventually consistent replication for SQL

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Amazon East

Rackspace DFWAPAC TokyoUS East

EU West

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5. Real-Time Data Bridge

• Replicate from logs in real-time

• Enable apps to get data from one data source

• Heterogeneous transfer and transformation

• High performance, low application impact

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Bridge

Bridge

Bridge

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Future-Proofed CRM/Call Center Data

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CRM WebApplication

CRM WebApplication

Legacy Oracle

Fat ClientAccounting

Bridge

Bridge

FabricConnector

FabricConnector

OLTP Primary

Data Marts

Bridge

Bridge HadoopAnalytics

Telephony Data Streams

Telephony Data Streams

FabricConnector

FabricConnector

FabricConnector

OLTP DR

Bridge

Call Session Data

©Continuent 2012

Future-Proofed CRM/Call Center Data

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CRM WebApplication

CRM WebApplication

Legacy Oracle

Fat ClientAccounting

Bridge

Bridge

FabricConnector

FabricConnector

OLTP Primary

Data Marts

Bridge

Bridge HadoopAnalytics

Telephony Data Streams

Telephony Data Streams

FabricConnector

FabricConnector

OLTP DR

Bridge

Call Session Data

FabricConnector

©Continuent 2012

MySQL Future-Proo!ng: Conclusion

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• MySQL is doing great but the cloud and Big Data have created a new set of challenges

• Data Fabric architecture cures mixed system spaghetti and future-proofs MySQL

• Continuent products implement fabric design patterns

• Our humble ambition: cover the entire Data Fabric, not just MySQL

©Continuent 2012.

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