2015, MariaDB Corp. 2015, MariaDB Corp.

MariaDB Roadshow 2015

MariaDB MaxScale

2015, MariaDB Corp.

Content

Why and What of MaxScale ? MariaDB MaxScale Benefits MariaDB MaxScale Packaging

2015, MariaDB Corp.

Needs of Web Scale organization Ability to support growing user base

Scalability Deliver quality customer experience

High Availability Continuity Performance Data Security

Control cost Development Friendliness Improve DBA Productivity

Competitive Advantage Innovation Rollout New Service Creation

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Challenges of Scalability with MariaDB & MySQL

Application Business Logic

Application Database Connection Management

MySQL/MariaDB connector

Complex application Reduced Development Agility

and DBA Productivity Longer time to market

For security requirements additional database firewall needed

Database Firewall Database Firewall

1:100 101:200 201:300 301:...

Database Firewall

Load Balance queries Send queries to node per load balancing Detect node failure and failover Detect node addition or removal

Determine which shard to send the query If sharding schema changes, or a new shard

added, update the application code

MariaDB/MySQL Replication

MariaDB Galera Cluster

Data Sharding

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MariaDB MaxScale

A flexible open source platform that sits between applications and databases for MariaDB and MySQL Databases scale without any impact on applications Developer and DBA friendly solution for scalability, high

availability, continuity and database security Flexible architecture allows creation of new services not

possible just with database platforms

Mon

itorFilter &

Logging Routing

MaxScaleCore

Routing

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MariaDB MaxScale:Web Scale Database Proxy

Client SimpleRequests

MaxScale

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MariaDB MaxScale 1.0 Feature List

MySQL and MariaDB client and server protocols MariaDB Galera and MySQL replication cluster monitoring Connection based load balancing Statement based load balancing Query performance logging Top N Query logging Query transformation based on regular expressions and time Query duplication to another database, storage engine or application Extensible plugin architecture Extension possibilities

Optimized routing to Galera multi-master nodes to avoid deadlock Replication across geographically distributed HA clusters New client protocols such as PL-SQL, T-SQL, PostgresSQL, JSON, HTTP New server protocols such as Hadoop, MongoDB, Cassandra, CouchBase New clustering technologies such as MySQL NDB Cluster, Hadoop Cluster, MongoDB

Cluster Transform, block or log client requests and results conditionally

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Scalability with MaxScale for MariaDB/MySQL replication

Application Business Logic

Application Database Connection Management

MySQL/MariaDB connector

MaxScale

Connection and Statement based load balancing

Simplifies applications Improved Developer productivity

Cluster configuration transparent to applications Improved DBA productivity

Monitors backend database high availability Improved Business Continuity

Load Balance queries Route queries to node per load balancing algorithm Detect node failure and failover Detect node addition or removal

Send queries over a single server connection to MaxScale

MariaDB Galera Cluster MariaDB/MySQL Replication

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Query Transformation with MaxScale for Legacy Application Compatibility

Modify queries from legacy applications on the fly - for example a MySQL 5.1 app:

1. MaxScale accepts a query from a MySQL 5.1 compatible client,

2. If the query matches the regular expression /CREATE TABLE/ then MaxScale substitutes ENGINE for TYPE in that statement, else it passes the statement through the filter unchanged.

3. Forwards the transformed statement to MariaDB or MySQL 5.6.

4. Receives the result from the back-end.5. Forwards the result to the client.

MaxScale

1 5

3 4

/CREATE TABLE/

s/TYPE/ENGINE/2

Application and Database can be upgraded asynchronously Improves business continuity Improve organizational productivity

Faster rollout of new database versions

MySQL 5.1

MySQL 5.6 or MariaDB 10

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Query Logging with MaxScale For Performance Diagnostics

1. MaxScale accepts a query from a client application

2. Forwards the query to the back-end Logs it into the All Queries Logs it into the Long Running Queries

log files3. Receives the result from the back-end,4. Forwards the result to the client

Logs the result into the All Queries log If it is one of the N longest-running

queries, logs the result into the Long Running Queries log fileMaxScale

.log

Long Queries(Top N queries)

.log

All Queries

1 4

2

4

2

42 3

Centralized cluster wide query performance log at MaxScale No need to manually correlate query

logs across cluster nodes Simplified performance tuning Improved DBA productivity

Filtering can be also used to prevent SQL injection attacks or unauthorized queries Improved Security

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Query Duplication with MaxScale1. MaxScale accepts a query from a client

application2. Forwards the query to the back-end

Sends query to Database A Send query to Database B via Tee-filter

3. Receives the result from Database A4. Receives the result from Database B5. Forwards the result to the client

MaxScale

1 5

4

22 3

Cross-DB solutions: Duplicate queries to MariaDB Replication Cluster and Galera Cluster

ETL: Use Tee-filter to insert into transactional database and insert into analytic database via queuing to ETL process

Faster and smooth rollout of new services Using different DB technology and

different workloads

Database A: MariaDB InnoDB Replication Cluster

Database B: MariaDB Galera Cluster or MariaDB MyISAM or CONNECT Engine for Cassandra or Spider Engine or InfiniDB Engine or RabbitMQ for another application to process

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MaxScale Flexible Plugin Architecture

Replicate Binlog from the master to slave through MaxScale Simplified relay server Reduced network load and

disaster recoveryIn production at Booking.comBinlog server Booking.com blog

Shard Cluster 1

Shard Cluster 2

Shard Cluster 3

Shard Cluster 4

Shard Cluster 5

Route to sharded database without application level knowledge of sharding method Sharding Router based on database

schema In development for Lead Desk

Another future Plugin for Sharding Router based on table key In early analysis for a prospect

MaxScale

Sharding Router

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MariaDB MaxScale Advantages

Developer and DBA friendly solution for Scalability High availability Cluster wide performance tuning

Continuity during database upgrades Data and SQL security New Services with extendable plugins

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MariaDB MaxScale Customer Benefits

DBA Handle large amount of data with scalable and highly available MariaDB clusters Tune database performance with query logging Continuous availability to applications during cluster administration and database

upgrades Developer

Simplified development as cluster complexity hidden from applications Focus on business logic instead of cluster monitoring and tracking

Data Architect Tee-filter and Flexible Plugin architecture opens up cross-workload and cross-DB

solutions Simplified and faster rollout of database versions for new services

Applications continue to work during database upgrades CIO

Scale the infrastructure with growth of business Scale without sacrificing developer and DBA productivity Improved customer satisfaction with application continuity and performance Expand business horizon with newer solutions

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MariaDB MaxScale Packaging

MariaDB Enterprise: Enterprise Software Patch and Notification Services 24X7 support for Enterprise Software Customer Portal, Exclusive Content

MariaDB Enterprise Add-on: MariaDB MaxScale Base MaxScale 1.0 GA Future patch and enhancement to MaxScale Base 24X7 support for MaxScale Base

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MariaDB MaxScale RoadmapQ1 2015: MariaDB MaxScale 1.1 Beyond Q2 2015

Performance Caching layer for connectors

Scalability Binlog relay: improved HA for master/slave replication

Table-Key based simple sharding

Schema based sharding Optimized Galera routing for deadlock avoidance

MySQL Cluster (NDB) connection load balancing

Advanced Sharding support

Geographic replication for disaster resilience

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MariaDB MaxScale RoadmapQ1 2015: MariaDB MaxScale 1.1 Beyond Q2 2015

Ease of Use Integration with MDBE notification service

Configuration Playbooks

Nagios Plugin for monitoring

Hint based statement load balancing

Logging integrated with RabbitMQ

Security Firewall filter: Block SQL injection Client Side SSL

LDAP, Kerberos authentication

Firewalls designed for HIPPA, PCI use cases

Interoperability JSON/BSON Protocol support

2015, MariaDB Corp.

MariaDB MaxScale

A flexible platform that sits between applications and databases for MariaDB and MySQL Databases scale without any impact on applications Developer and DBA friendly solution for scalability, high

availability, continuity and database security Flexible architecture allows creation of new services not

possible just with database platforms

2015, MariaDB Corp.

Resources

Product Page: https://mariadb.com/products/mariadb-maxscale Product FAQ: https://mariadb.com/products/product-faqs Data Sheet: MariaDB MaxScale Datasheet Blogs: https://mariadb.com/blog-tags/MaxScale Discussion via the Google Group: maxscale@googlegroups.com MariaDB MaxScale Webinar - Scalability at its best

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Appendix

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MariaDB MaxScale 1.0 Supported OS and Databases

Supported OS RHEL 6 RHEL 5 RHEL 7 CentOS 6 CentOS 5 CentOS 7 Ubuntu 12.04 LTS Ubuntu 13.10 Ubuntu 14.04 Debian 6 Debian 7 OpenSUSE 13.1 Fedora 19 64 bits Fedora 20 64 bits SLES 11 SELS 12

Supported backend database MariaDB Server and Enterprise all versions MariaDB Enterprise Cluster all versions MySQL 5.1 and higher

2015, MariaDB Corp.

Feature Benefits: MaxScale BaseDBA Developer Architect Organization CIO

Overall Benefits

Database Scalability, HA Simplicity Flexibility Organizational Scalability, Productivity, Customer Satisfaction, New revenue stream opportunities

Feature Component Feature Benefits

MySQL and MariaDB Client and Server Protocol

Core Simplified Application Development that can focus on business logic

Increased developer productivity

MariaDB Galera and MySQL replication cluster monitoring

Monitor Plugin Scalability and Reliability to handle large amount of data

Free from cluster configuration complexity

Ability to support growth of business Increased developer productivity

Monitor Plugin Administer Clusters(node addition, removal, replication setup) without impacting application

Continuous availability. Zero-downtime and hidden failover at application level,

Increase DBA productivity End user satisfaction with always available web applications

Connection and Statement based load balancing

Router Plugin Optimal and homogeneous cluster nodes utilization giving high performance and high throughput.

Improved application performance with high performance database queries

End user satisfaction with high performance web applications Optimized Capex resources

Query Performance Logging Top N Query Logging

Filter Plugin Database performance tuning

End user satisfaction

Query Statement Modification based on regular expressions

Filter Plugin Client Applications do not have to upgrade at the same time of database

Applications continue to work when upgrading from older DB version to newer version

End user satisfaction with continuous availability Improved Developer productivity

Query Duplication to another storage engine or application

Tee-Filter Plugin Cross Workload and Cross Technology Applications

New customer offerings with cross workload solutions

Flexible Plugin Architecture Core Architect New Applications not possible before

New Revenue Stream

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Feature Benefits: Add-on Plugins (Future)DBA Developer Architect Organization CIO

Feature Component Feature Benefits

Query Duplication to another database

Monitoring Plugin for another database type

Database migration from another db to MariaDB

Continuous availability during database migration

Replication Relay Big Log Router Horizontally scale slaves without master overload

High Performance read scalability

Scalability and Performance to meet the end user expectation

Routing Hints Hint Filter Performance tuning via hints dynamically control statement-based routers

Improved Application performance and stability

Canonical Query logging Canonical Query Filter Application Validation Improved Developer productivity and application quality

Database Firewall Firewall Filter Prevent SQL Injection attacks

Data access security without application awareness

Prevent sensitive data from leaking to the wrong parties

Data access security

Schema based sharding Table Key based sharding

Sharding Router Scalability and Performance with Sharding

Application do not need to be aware of sharding

Scalability and Performance