SlideShare a Scribd company logo
1 of 65
Download to read offline
1

Tuesday, 21 September 2010
<Insert Picture Here>




              Getting the Best of Both Worlds with
              Oracle Database 11g and MySQL Enterprise
              Ivan Zoratti
              Sales Consulting Manager EMEA - Oracle MySQL



Tuesday, 21 September 2010
The following is intended to outline our general
               product direction. It is intended for information
               purposes only, and may not be incorporated into any
               contract. It is not a commitment to deliver any
               material, code, or functionality, and should not be
               relied upon in making purchasing decisions.
               The development, release, and timing of any features
               or functionality described for Oracle’s products
               remains at the sole discretion of Oracle.




                                                                      3

Tuesday, 21 September 2010
Pluggable Storage Engine Architecture




Tuesday, 21 September 2010
Agenda



              • Intro to MySQL                     <Insert Picture Here>


              • MySQL Architecture
              • MySQL Enterprise
              • MySQL for Online Applications
              • When It Makes Sense to Use MySQL
              • Oracle 11g and MySQL integration




                                                              5

Tuesday, 21 September 2010
Intro to MySQL




                                    6

Tuesday, 21 September 2010
Oracle’s Strategy:
               Complete. Open. Integrated.

                                 • Built together
                                 • Tested together
                                 • Managed together
                                 • Serviced together
                                 • Based on open standards
                                 • Lower cost
                                 • Lower risk
                                 • More reliable




Tuesday, 21 September 2010
Industry’s most complete LAMP Stack



                             Application
                                         s
                      Eclipse, N
                                e    tbeans
                      Apache, G
                                la     ssfish

                               MySQL

                 Oracle En
                                 t. Linux &
                                              VM



Tuesday, 21 September 2010
MySQL Today


               • In Development/Production since 1995
               • Acquired with Sun Microsystems
               • Leading Open Source Database for online apps
               • 12M+ server installations worldwide
               • 70,000 downloads each day
               • Dramatically reduces Database TCO
               • Performance, Reliability, Ease of Use




Tuesday, 21 September 2010
MySQL’s Industry Leading Customers




                             Web                         OEM / ISV’s




                    SaaS, Hosting   Telecommunications          Enterprise 2.0


                              MySQL is Powering the Web



Tuesday, 21 September 2010
The Top 20 most popular Websites
                             1.Google                 11.QQ.com
                             2.Facebook               12.Yahoo! JP
                             3.YouTube                13.Google IN
                             4.Yahoo!                 14.Taobao
                             5.Windows Live           15.Amazon.com
                             6.Baidu                  16.Sina
                             7.Wikipedia              17.Google DE
                             8.Blogger                18.Google HK
                             9.Twitter                19.Wordpress
                             10.MSN                   20.Google UK
                                                       Source: Alexa Top Sites - 1 September 2010



              ...and many more: Flickr, Second Life, Craigslist, Slashdot,
              LiveJournal, Digg, Del.icio.us, Pricegrabber.com, Weather.com etc.


Tuesday, 21 September 2010
MySQL Server Offering and Licensing


       Community Server             Embedded Server
          Community                  Commercial                         Enterprise
            GPL                       Licence                             GPL

   •   Available under GPL      •   For OEMs and ISVs     •   Enterprise Tools
   •   Software tested by the   •   Frees from applying   •   Services to ensure the maximum
       Community                    GPL rules to source       quality, uptime, and performance of
   •   No Maintenance SLA           code and IP               MySQL Enterprise systems
   •   No Support               •   Deeply embedded or        •   24x7 support
   •   No ISV Certification         bundled                   •   Consultative services
                                                              •   Self-help knowledge aids
                                                          •   Extended Lifecycle Support
                                                          •   Optional Custom builds and service
                                                              patches




Tuesday, 21 September 2010
MySQL Architecture




Tuesday, 21 September 2010
Pluggable Storage Engine Architecture




Tuesday, 21 September 2010
MySQL Replication
           • Typical Master/Slave replication environment
           • Multiple replication topologies are supported
              • 1 Master : many Slaves, Circular, Master/Master etc.
           • Available for all platforms
           • Enabled for all storage engines
           • Asynchronous or Semi-Synchronous with Heartbeat
           • Statement Based (SBR), Row Based (RBR) or mixed-format (MIXED)
           • Replicate data from one MySQL server/storage engine combination to a
             different MySQL Server/storage engine combination
           • Perform backups using a slave server and continue to process updates on the
             master while the backup is being made on the slave
           • 1-minute configuration




                             Application      Master               Slave



Tuesday, 21 September 2010
MySQL Replication

• Data written on the master is also
  written into the binary log
• The I/O thread on the slave collects
  logs from the master binary log and
  writes a relay log on the slave
• The SQL thread on the slave reads the
  relay log and apply the writes on the
  slave
• Slave writes are optionally added to
  the binary log on the slave
• If the semi-sync plugin is installed and
  enabled, the master waits until the I/O
  thread on one of the semi-sync slave
  has written the transaction to disk, or
  until it receives a timeout, then it
  returns the ACK to the application.



Tuesday, 21 September 2010
MySQL Cluster/NDB Storage Engine

• Cost
     • Use commodity hardware to accommodate the
       growth of users, traffic, and data
                                                                                            Applications
• Fault Tolerance
     • No single point of failure
• High Availability
     • Data is replicated across nodes and always available
     • Automatic fail-over                                                              MySQL Server Nodes
• Scalability
     • Distributes large workloads                                               Data
     • Replicas for Read, Partitions for Write                                  Nodes

     • Supports “Scale Out”
• High Performance
     • Load balanced
     • Memory or Disk based storage engine                     Management
                                                              Server & Client
     • Designed high volume/small transactions
• Simplified Management
     • Cluster management utilities
     • Commodity components




Tuesday, 21 September 2010
MySQL Cluster /NDB Storage Engine

                                                           Clients


                             MySQL Cluster Application Nodes




  MySQL                                                              MySQL
  Cluster                                                            Cluster
  Mgmt                                                               Mgmt


                               MySQL Cluster Data Nodes




Tuesday, 21 September 2010
MySQL Server 5/MySQL Cluster 7
              Reliability                 Performance                        Ease of Use
 •   SQL Mode                     •   Stored Procedures              •   Instance Manager
 •   Triggers & Views             •   Cluster query push down        •   Information Schema     .
                                                                                               50
 •   Precision Math               •   Query optimisations            •   Cursors
 •   Increased object support     •   Archive Engine                 •   Enterprise Backup & Recovery
 •   Enteprise Monitoring Tool    •   InnoDB storage improvements        Manager

 •   Row-Based Replication        •   Table/Index Partitioning       •   XML/XPath Support      .
                                                                                                51
 •   Disk-based Cluster           •   Full-Text Index Improvements   •   Task Scheduler
 •   Cluster Replication with     •   Faster ALTER TABLE             •   Storage Engine Plug-in API
     Conflict Resolution          •   Faster ADD/DROP Index          •   CSV Storage Engine
 •   Enterprise Query Analyser    •   Parallel Data Import
                                                                                                 RC
 •   Default InnoDB (Barracuda)   • Multiple Buffer Pool and         • SIGNAL/RESIGNAL 5.5
 •   Semi-Sync Replication          Rollback Segment                 • NDB_INFO Schema
 •   Enterprise Connectors        • Eliminated Lock bottlenecks      • MySQL Custer Manager
 •   Enterprise Support           • Extended Change Buffering &      • MySQL Workbench 5.2
     Diagnostics                    Purge Scheduling                 • MySQL Cluster Connectors
 •   MySQL Cluster on Windows     • PERFORMANCE_SCHEMA               • MySQL Enterprise Backup
 •   Fast InnoDB Recovery         • Multithreaded Cluster



Tuesday, 21 September 2010
MySQL and DRBD
               Distributed Replicated Block Device

• Asynchronous, Semi-Synchronous or
  Synchronous
                                                                      Applications
    • Runs over standard IP networks
    • Distributed storage
    • Similar to network RAID

• Characteristics                                       Active Node    Virtual IP    Passive Node


  • No special networking components
  • Excellent performance (blocks vs. rows of data)
  • Manages inconsistencies of data during a failure
                                                                       DRBD/AVS
  • Hides the complexity of many recovery actions
  • Linux heartbeat manages fail over and virtual IPs




Tuesday, 21 September 2010
MySQL and Shared Storage Clusters
         • Active/Passive server or process
           configuration
             • Links servers with 3rd party software
               and virtual IP                                  Applications

         • Reliability
             • Commonly used solution
         • Fault Tolerance
             • No single point of failure with          MySQL
                                                        Server Nodes

               appropriate hardware
         • High Availability
           • Data handled by a SAN or NAS
               and always available
             • Automatic fail-over                     Shared Storage

         • Simplified Management
         • Cluster management utilities




Tuesday, 21 September 2010
Distributed Caching
                                      Memcache
              • Memcache is a high-performance, distributed memory
                object caching system, generic in nature, but intended
                for use in speeding up dynamic web applications by
                alleviating database load.

                   • Created by Danga Interactive for LiveJournal

                   • Available on Linux, FreeBSD, Solaris, Windows, OS X
                   • Simple UDP protocol, Libevent based
                   • Integration with all the major RDBMSs, Web & App Servers and
                     Languages

                   • Used (amongst many) by LiveJournal, Fotolog, Facebook,
                     Amazon, Yahoo, YouTube, Wikipedia etc.



Tuesday, 21 September 2010
MySQL Enterprise




Tuesday, 21 September 2010
MySQL Enterprise: Commercial Offering
                             • MySQL Enterprise Server
                             • Monthly Rapid Updates
     Database                • Quarterly Service Packs
                             • Hot Fix Program • Subscription:
                             • Extended End-of-Life
                                                    • MySQL Enterprise
                                                 • License (OEM):
                             • Global Monitoring of All Servers
                                                    • Embedded Server
                             • Web-Based Central Console
     Monitoring              • Built-in Advisors, Expert Advice
                             • MySQL Query Analyzer
                                                    • Support
                             • Specialised Scale-Out Help Cluster Carrier-
                                                 • MySQL
                                                   Grade
                                                 • Training
                             • 24 x 7 x 365 Problem Resolution
                                                 • Consulting
                             • Online Self help Knowledge Base
      Support                • Consultative Help• NRE
                             • Bug Escalation Program




    http://www.mysql.com/products/enterprise/
Tuesday, 21 September 2010
MySQL Enterprise Monitor
    • Single, consolidated view into
      entire MySQL environment
    • Monitor MySQL Sessions,
      Connections, Replication Latency
    • Improve Application Performance
    • Gain Immediate Visibility into Your
      Replication Topologies
    • Customisable rules-based
      monitoring and alerts
    • Identifies problems before they
      occur
    • Makes it easier to scale out
      without requiring more DBAs
                                             A Virtual MySQL DBA Assistant!

     http://www.mysql.com/products/enterprise/monitor.html
Tuesday, 21 September 2010
MySQL Enterprise Monitor Architecture
                                                                                                     Individual Servers w/Agent
                                                                   Configuration
                                                                Advisor Scheduling
                                                                Alerts/Notifications
               Service Agent written in C and                    Visual Monitoring
               supports all MySQL Enterprise                      Query Analysis
                                                                                       Service
               platforms                                                               Manager



               Service Manager written in Java
                                                                                                          Collects MySQL and OS
               servlets exposed as web services.                                                          specific metrics, Query
               Supports Linux, Solaris, Mac OSX                                                                 content/stats
               and Microsoft Windows
                                                   Enterprise
                                                   Dashboard
               Enterprise Dashboard Web-
               based, written in JSP
                                                         Advisor Monitoring
                                                         Event based Alerts
                                                      Advice/Corrective Actions
               Repository holds historical
               performance data for analysis
                                                                                        Repository
                                                   Holds historical MySQL and OS
                                                       data, Query Statistics                             Master-Slave Replication




Tuesday, 21 September 2010
MySQL Enterprise Monitor Dashboard




Tuesday, 21 September 2010
MySQL Query Analyzer
 • Centralised monitoring of
   Queries across all
   servers
 • No reliance on Slow
   Query Logs, SHOW
   PROCESSLIST;,
   vmstat, etc.
 • Aggregated view of
   query execution counts,
   time, and rows
 • Saves time parsing
   atomic executions for
   total query expense




Tuesday, 21 September 2010
Monitoring Queries with MySQL
               Enterprise Proxy Server

                                                                                                MySQL Database
                     Application Server


                                                                                                3306



                                                   (SQL statements & result sets)‫‏‬
                                                                                                                2. Proxy Server
                                                                                             6446
                                                                                                                & MySQL Agent **



                                                                                      (MySQL, OS monitoring data, SQL
                                                                                       performance data: statements, examples,
                                                                                       EXPLAINs, aggregated stats)‫‏‬
                                                                             18080




                                                                                      1. MySQL Enterprise Monitor
                                                                                      (Service Manager, Dashboard)



           List of components to download & configure:

           1. MySQL Enterprise Monitor & Query Analyzer                              ** MySQL Proxy is optionally deployed and
           2. MySQL Proxy & Agent                                                    configured as a plugin with the MySQL Agent




Tuesday, 21 September 2010
Monitoring Queries with Connector/J, .NET
             Application Server                                                                               MySQL Database

                                                          (SQL statements & result sets)‫‏‬
                       3. Connector/J, NET                                                                  3306

                             4. Plugin for Connector/J,
                                         NET


                                                                                                                   2. MySQL Agent

                   (SQL performance data: statements,
                     examples, EXPLAINs, aggregated
                                 stats)‫‏‬
                                                                                        (MySQL & OS
                                                                                        monitoring data)‫‏‬
                                                                 18080




                                                                                1. MySQL Enterprise Monitor
                                                                                  (Service Manager, Dashboard)‫‏‬



 List of components to download & configure:

 1.    MySQL Enterprise Monitor & Query Analyzer
 2.    MySQL Agent
 3.    Connector/J v5.1 or newer/ Connector/NET v6.2 or newer
 4.    MySQL Enterprise Plugin for Connector/J, NET




Tuesday, 21 September 2010
MySQL Query Analyzer




Tuesday, 21 September 2010
MySQL for
                   Online Applications




Tuesday, 21 September 2010
Vertical vs Horizontal Scalability


                Vertical Scale-Up                    Horizontal Scale-Out
             • Expensive SMP hardware             • Commodity Intel / AMD
             • Closed source software             • Open source software
             • Platform lock-in                   • Platform freedom
             • “Fork Lift” to increase capacity   • Add commodity servers to
                                                    increase capacity




Tuesday, 21 September 2010
Read-intensive Application Scalability
               Replication
                                      Applications




                             Master


                                                     Slaves
                                         Replication




Tuesday, 21 September 2010
Read-intensive Application Scalability
                                                            Application
                                                             Servers



                 Read

                 Write



                                            Relay Servers




                                        Slave Servers




Tuesday, 21 September 2010
Write-intensive Applications Scalability

      Handle multiple connections for:
    > Authentication
                                          –Low Persistency
    > Session Management                    – Baskets and temporary selections
    > Logging/Click Stream                  – Queues, such as orders,
    > Management and                          documents that change status etc.
      Administration                        – Short Messages
    > Application Data
         > Separate low persistency and   –High Persistency
            high persistency data           – Catalogues
                                            – Wish Lists
                                            – Recommendations
                                            – Forums, Messages, Posts,
                                              Comments etc.



Tuesday, 21 September 2010
Sharding

                                                                                    Application
                                                                                     Servers


              Read

              Write          0       1       2       3       4     Master Servers



                                 0                                 4



                                         1               3


                                                 2
                                                                 Slave Servers




Tuesday, 21 September 2010
Front End Database Infrastructure




Tuesday, 21 September 2010
Front End Database Infrastructure




             Authorization
               & Profile



                NDB
                             UID/PWD/Security
                              Account Settings
                              Personalization




Tuesday, 21 September 2010
Front End Database Infrastructure




                               Session
                             Management

             Authorization
               & Profile      NDB
                NDB
                                                Session
                                           Basket/Trolley/Cart
                                          Current Configuration




Tuesday, 21 September 2010
Front End Database Infrastructure




                                    Transactional Application Data

                               Session
                             Management    InnoDB
             Authorization
               & Profile      NDB
                NDB
                                                                     Orders, Invoices
                                                                        Wish Lists
                                                                      Forum Posts
                                                                        Messages




Tuesday, 21 September 2010
Front End Database Infrastructure




                                    Transactional Application Data

                               Session
                             Management    InnoDB
                                                           Non-Transactional Data
             Authorization
               & Profile      NDB                              MyISAM
                NDB
                                                          Catalogues
                                                       Recommendations
                                                           Reviews
                                                          Comments




Tuesday, 21 September 2010
Front End Database Infrastructure




                                    Transactional Application Data

                               Session
                             Management    InnoDB
                                                           Non-Transactional Data
             Authorization
               & Profile      NDB                              MyISAM                Logging

                NDB
                                                                                    Archive
                                                          Click Stream
                                                          Users’ Activity




Tuesday, 21 September 2010
Front End Database Infrastructure




                                    Transactional Application Data

                               Session
                             Management    InnoDB
                                                           Non-Transactional Data
             Authorization
               & Profile      NDB                              MyISAM                Logging

                NDB
                                                                                    Archive
                                                      Generic, Distributed
                                                          Caching




Tuesday, 21 September 2010
When It Makes
              Sense to Use MySQL




Tuesday, 21 September 2010
Assuming you know Oracle DB...


           • Clients
               • 99% of the operating and development environments have a
                 MySQL connector, a MySQL module or plug-in


           • Security
               • No external authentication at the moment


           • Connections
               • MySQL handles connect/disconnect easily
               • Permanent connections are great but not required




Tuesday, 21 September 2010
Assuming you know Oracle DB...

           • Data Definition Language (DDL)
               • Standard SQL is available
               • Online ALTERs are not available in the standard MySQL server
                 • MySQL Replication is often used to manage changes and
                   scheduled downtime


           • Basic Operations (standard DML)
               • Standard SQL is available
               • High performance with multiple INSERTs and REPLACE
               • “Hints” are “Rules”
                  • USE INDEX
                  • FORCE INDEX
                  • IGNORE INDEX



Tuesday, 21 September 2010
Assuming you know Oracle DB...


           • Stored Procedures and Routines
               • Basic language, used primarily to avoid network hops
               • UDFs are more efficient


           • Referential Integrity
               • Available with InnoDB
               • Do you always need it?


           • Storage Engines
               • Multiple options
               • Select the best engine for the job




Tuesday, 21 September 2010
Assuming you know Oracle DB...
           • High Availability
               • Multiple options depending on complexity, required HA and
                 budget
               • Mixed technologies


           • Disaster Recovery and Geographical Replication
               • MySQL Replication is the recommended solution


           • Extended Features
               • Usually they are not the primary reason to choose MySQL
               • “Basic” XML, Text, Spatial features
                  • Are they good enough for you?




Tuesday, 21 September 2010
Myths


           • No Referential Integrity

           • Lack of Performance

           • Lack of Scalability

           • Lack of High Availability




Tuesday, 21 September 2010
Reality


           • Basic SQL features

           • Limited Procedural Language

           • Limited extensions

           • “Standard” indexing
               • BTree and Hash


           • No RAC-like architecture



Tuesday, 21 September 2010
You should use MySQL for...
           • Online Applications
               • The “M” in the LAMP stack
               • The most common database on the Internet
               • The most used and default backend for online environments,
                 solutions and frameworks
           • Data Marts
               • Easy and quick to install.
               • Create - Use - Remove
               • High performance data load and queries
               • Compatibility with Open Source and Commercial BI and
                 Reporting Tools
           • Embedded Database
               • Lightweight with small footprint
               • Wide range of utilization
               • Simple to bundle or to deeply embed



Tuesday, 21 September 2010
You should not use MySQL for...


           • ERP Solutions
               • No certification or compatibility
               • Missing extended features
               • Not scalable for a typical SMP environment


           • Data Warehouse and Business Intelligence Solutions
               • The optimizer works fine on relatively simple queries
                  • Subquery optimization... well, it’s not optimal :(
               • Missing some of the advanced indexing and partitioning features
               • Missing parallel queries




Tuesday, 21 September 2010
Oracle 11g and
                   MySQL Integration




Tuesday, 21 September 2010
Integration Aspects


           • Application Integration
               • Information and services exchanging
               • Information and services sharing
           • Systems Integration
               • Systems co-location and co-existence
               • Systems Administration
               • Systems Monitoring
           • Data Integration
               • Batch Data Transfer and Exchange
               • Real Time Data Replication
               • Real Time Data Sharing




Tuesday, 21 September 2010
Application Integration
           • Information Exchange
               • Messaging systems
               • Internal component in C/C++, Perl/PhP/Python, Java & .NET


           • Integration through caching distributed systems
               • Memcache is the standard distributed caching mechanism in the
                 online world, also useful for information exchange
               • Memcache is available on almost all the client environments and
                 as plug-in as database functions




Tuesday, 21 September 2010
Application Integration
           • Information Exchange
               • Messaging systems
               • Internal component in C/C++, Perl/PhP/Python, Java & .NET


           • Integration through caching distributed systems
           • Memcache is the standard distributed caching mechanism in the
             online world, also useful for information exchange
     mysql> select memc_set( '2', 'BCD');
     +-----------------------+
     | memc_set( '2', 'BCD') is available on almost all the client environments and
           • Memcache |
     |       as plug-in as database functions
     +-----------------------+
                           0 |
     +-----------------------+
     1 row in set (0.00 sec)

     mysql> select memc_get( '1' );
     +-----------------+
     | memc_get( '1' ) |
     +-----------------+
     | ABC             |           mysql> select memc_set( md5('MYSQLselect * from t1 limit 10'),'...');
     +-----------------+           ...
     1 row in set (0.00 sec)       mysql> select memc_get( md5('ORACLEselect * from t1 limit 10'))G
                                   ...




Tuesday, 21 September 2010
Distributed Caching




                              Memcached Cluster




Tuesday, 21 September 2010
Systems Integration

           • Instances co-location
               • File Exchange
                  • Text, Fixed length, CSV, XML


           • Oracle Commitment
               • Oracle Enterprise Manager (CY 2011)
               • Oracle Audit Vault (CY 2011)
               • Oracle Secure Backup (CY 2011)


           • Pythian MySQL Management Plug-in for OEM
               • http://www.pythian.com/documents/pythian-mysql-plug-in-datasheet.pdf




Tuesday, 21 September 2010
Data Integration
               Batch Transfer

           • Oracle Data Integrator

           • SQL*PLUS/SQL*LOADER - mysqldump/mysqlimport

           • CSV files/tables access

           • Informatica Products Suite




Tuesday, 21 September 2010
Data Integration
               Real Time Replication
                               Oracle GoldenGate 11g

           • Real Time (CDC - Change Data Capture)
             Oracle ➜ MySQL

           • ETL - Extraction Transformation & Loading
             MySQL ➜ Oracle
             Oracle ↔ MySQL

           • Platforms:
               • Linux, Windows, Solaris




Tuesday, 21 September 2010
Data Integration
               Real Time Replication
                             HIT Software DBMoto 7

           • Real Time (CDC - Change Data Capture)
             Oracle ➜ MySQL
             MySQL ➜ Oracle
             Oracle ↔ MySQL

           • Refresh, Mirroring and Synchronization
           • Based on Oracle and MySQL Logs

           • Windows Only


    http://www.hitsw.com/products_services/dbmoto/DBMoto_Factsheet.pdf
Tuesday, 21 September 2010
Data Integration
               Real Time Data Connection
           • Fast, Real Time, Difficult to scale

           • Oracle Heterogenous Services

           • MySQL User Defined Functions
               • Set of MySQL Functions executable at instance level to access
                 an Oracle DB

           • Memcached Sharing
               • Application Level
               • Database Level
                 • Memcached Access from the DB / DB Functions & Triggers



Tuesday, 21 September 2010
64

Tuesday, 21 September 2010
65

Tuesday, 21 September 2010

More Related Content

What's hot

PostgreSQL as an Alternative to MSSQL
PostgreSQL as an Alternative to MSSQLPostgreSQL as an Alternative to MSSQL
PostgreSQL as an Alternative to MSSQLAlexei Krasner
 
MySQL For Oracle Developers
MySQL For Oracle DevelopersMySQL For Oracle Developers
MySQL For Oracle DevelopersRonald Bradford
 
MySQL overview
MySQL overviewMySQL overview
MySQL overviewMarco Tusa
 
Oracle to MySQL 2012
Oracle to MySQL  2012 Oracle to MySQL  2012
Oracle to MySQL 2012 Marco Tusa
 
MySQL High Availability Solutions
MySQL High Availability SolutionsMySQL High Availability Solutions
MySQL High Availability SolutionsLenz Grimmer
 
MariaDB 10 Tutorial - 13.11.11 - Percona Live London
MariaDB 10 Tutorial - 13.11.11 - Percona Live LondonMariaDB 10 Tutorial - 13.11.11 - Percona Live London
MariaDB 10 Tutorial - 13.11.11 - Percona Live LondonIvan Zoratti
 
MySQL Performance - Best practices
MySQL Performance - Best practices MySQL Performance - Best practices
MySQL Performance - Best practices Ted Wennmark
 
MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)
MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)
MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)Aurimas Mikalauskas
 
MariaDB 5.5 and what comes next - Percona Live NYC 2012
MariaDB 5.5 and what comes next - Percona Live NYC 2012MariaDB 5.5 and what comes next - Percona Live NYC 2012
MariaDB 5.5 and what comes next - Percona Live NYC 2012Colin Charles
 
MySQL Performance Tuning Variables
MySQL Performance Tuning VariablesMySQL Performance Tuning Variables
MySQL Performance Tuning VariablesFromDual GmbH
 
InnoDB Architecture and Performance Optimization, Peter Zaitsev
InnoDB Architecture and Performance Optimization, Peter ZaitsevInnoDB Architecture and Performance Optimization, Peter Zaitsev
InnoDB Architecture and Performance Optimization, Peter ZaitsevFuenteovejuna
 
MySQL InnoDB Cluster and NDB Cluster
MySQL InnoDB Cluster and NDB ClusterMySQL InnoDB Cluster and NDB Cluster
MySQL InnoDB Cluster and NDB ClusterMario Beck
 
MySQL NDB Cluster 8.0
MySQL NDB Cluster 8.0MySQL NDB Cluster 8.0
MySQL NDB Cluster 8.0Ted Wennmark
 
A beginners guide to MariaDB
A beginners guide to MariaDBA beginners guide to MariaDB
A beginners guide to MariaDBColin Charles
 
MySQL Atchitecture and Concepts
MySQL Atchitecture and ConceptsMySQL Atchitecture and Concepts
MySQL Atchitecture and ConceptsTuyen Vuong
 
MariaDB 10: The Complete Tutorial
MariaDB 10: The Complete TutorialMariaDB 10: The Complete Tutorial
MariaDB 10: The Complete TutorialColin Charles
 
Choosing a MySQL High Availability solution - Percona Live UK 2011
Choosing a MySQL High Availability solution - Percona Live UK 2011Choosing a MySQL High Availability solution - Percona Live UK 2011
Choosing a MySQL High Availability solution - Percona Live UK 2011Henrik Ingo
 
What's New in MySQL 5.6
What's New in MySQL 5.6What's New in MySQL 5.6
What's New in MySQL 5.6Santo Leto
 

What's hot (20)

PostgreSQL as an Alternative to MSSQL
PostgreSQL as an Alternative to MSSQLPostgreSQL as an Alternative to MSSQL
PostgreSQL as an Alternative to MSSQL
 
MySQL 开发
MySQL 开发MySQL 开发
MySQL 开发
 
MySQL For Oracle Developers
MySQL For Oracle DevelopersMySQL For Oracle Developers
MySQL For Oracle Developers
 
MySQL overview
MySQL overviewMySQL overview
MySQL overview
 
Oracle to MySQL 2012
Oracle to MySQL  2012 Oracle to MySQL  2012
Oracle to MySQL 2012
 
MySQL High Availability Solutions
MySQL High Availability SolutionsMySQL High Availability Solutions
MySQL High Availability Solutions
 
MariaDB 10 Tutorial - 13.11.11 - Percona Live London
MariaDB 10 Tutorial - 13.11.11 - Percona Live LondonMariaDB 10 Tutorial - 13.11.11 - Percona Live London
MariaDB 10 Tutorial - 13.11.11 - Percona Live London
 
MySQL Performance - Best practices
MySQL Performance - Best practices MySQL Performance - Best practices
MySQL Performance - Best practices
 
MySQL DBA
MySQL DBAMySQL DBA
MySQL DBA
 
MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)
MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)
MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)
 
MariaDB 5.5 and what comes next - Percona Live NYC 2012
MariaDB 5.5 and what comes next - Percona Live NYC 2012MariaDB 5.5 and what comes next - Percona Live NYC 2012
MariaDB 5.5 and what comes next - Percona Live NYC 2012
 
MySQL Performance Tuning Variables
MySQL Performance Tuning VariablesMySQL Performance Tuning Variables
MySQL Performance Tuning Variables
 
InnoDB Architecture and Performance Optimization, Peter Zaitsev
InnoDB Architecture and Performance Optimization, Peter ZaitsevInnoDB Architecture and Performance Optimization, Peter Zaitsev
InnoDB Architecture and Performance Optimization, Peter Zaitsev
 
MySQL InnoDB Cluster and NDB Cluster
MySQL InnoDB Cluster and NDB ClusterMySQL InnoDB Cluster and NDB Cluster
MySQL InnoDB Cluster and NDB Cluster
 
MySQL NDB Cluster 8.0
MySQL NDB Cluster 8.0MySQL NDB Cluster 8.0
MySQL NDB Cluster 8.0
 
A beginners guide to MariaDB
A beginners guide to MariaDBA beginners guide to MariaDB
A beginners guide to MariaDB
 
MySQL Atchitecture and Concepts
MySQL Atchitecture and ConceptsMySQL Atchitecture and Concepts
MySQL Atchitecture and Concepts
 
MariaDB 10: The Complete Tutorial
MariaDB 10: The Complete TutorialMariaDB 10: The Complete Tutorial
MariaDB 10: The Complete Tutorial
 
Choosing a MySQL High Availability solution - Percona Live UK 2011
Choosing a MySQL High Availability solution - Percona Live UK 2011Choosing a MySQL High Availability solution - Percona Live UK 2011
Choosing a MySQL High Availability solution - Percona Live UK 2011
 
What's New in MySQL 5.6
What's New in MySQL 5.6What's New in MySQL 5.6
What's New in MySQL 5.6
 

Viewers also liked

Building Scalable High Availability Systems using MySQL Fabric
Building Scalable High Availability Systems using MySQL FabricBuilding Scalable High Availability Systems using MySQL Fabric
Building Scalable High Availability Systems using MySQL FabricMats Kindahl
 
20171104 hk-py con-mysql-documentstore_v1
20171104 hk-py con-mysql-documentstore_v120171104 hk-py con-mysql-documentstore_v1
20171104 hk-py con-mysql-documentstore_v1Ivan Ma
 
LAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivialLAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivialGabriela Ferrara
 
MySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo ProveitoMySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo ProveitoGabriela Ferrara
 
Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016Gabriela Ferrara
 
LaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data TypeLaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data TypeGabriela Ferrara
 
MySQL Cluster Whats New
MySQL Cluster Whats NewMySQL Cluster Whats New
MySQL Cluster Whats NewMark Swarbrick
 
[스마트스터디]MongoDB 의 역습
[스마트스터디]MongoDB 의 역습[스마트스터디]MongoDB 의 역습
[스마트스터디]MongoDB 의 역습smartstudy_official
 
MySQL Enterprise Cloud
MySQL Enterprise Cloud MySQL Enterprise Cloud
MySQL Enterprise Cloud Mark Swarbrick
 
MySQL Sharding: Tools and Best Practices for Horizontal Scaling
MySQL Sharding: Tools and Best Practices for Horizontal ScalingMySQL Sharding: Tools and Best Practices for Horizontal Scaling
MySQL Sharding: Tools and Best Practices for Horizontal ScalingMats Kindahl
 
Sharding using MySQL and PHP
Sharding using MySQL and PHPSharding using MySQL and PHP
Sharding using MySQL and PHPMats Kindahl
 
SunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQLSunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQLGabriela Ferrara
 
Coding like a girl - DjangoCon
Coding like a girl - DjangoConCoding like a girl - DjangoCon
Coding like a girl - DjangoConGabriela Ferrara
 
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...Ontico
 
Exploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherExploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherObjectRocket
 
The MySQL Server Ecosystem in 2016
The MySQL Server Ecosystem in 2016The MySQL Server Ecosystem in 2016
The MySQL Server Ecosystem in 2016Colin Charles
 

Viewers also liked (20)

Building Scalable High Availability Systems using MySQL Fabric
Building Scalable High Availability Systems using MySQL FabricBuilding Scalable High Availability Systems using MySQL Fabric
Building Scalable High Availability Systems using MySQL Fabric
 
20171104 hk-py con-mysql-documentstore_v1
20171104 hk-py con-mysql-documentstore_v120171104 hk-py con-mysql-documentstore_v1
20171104 hk-py con-mysql-documentstore_v1
 
LAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivialLAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivial
 
MySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo ProveitoMySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo Proveito
 
Laravel 5 and SOLID
Laravel 5 and SOLIDLaravel 5 and SOLID
Laravel 5 and SOLID
 
Mongodb
MongodbMongodb
Mongodb
 
Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016
 
LaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data TypeLaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data Type
 
MySQL Cluster Whats New
MySQL Cluster Whats NewMySQL Cluster Whats New
MySQL Cluster Whats New
 
[스마트스터디]MongoDB 의 역습
[스마트스터디]MongoDB 의 역습[스마트스터디]MongoDB 의 역습
[스마트스터디]MongoDB 의 역습
 
MySQL Enterprise Cloud
MySQL Enterprise Cloud MySQL Enterprise Cloud
MySQL Enterprise Cloud
 
MySQL Sharding: Tools and Best Practices for Horizontal Scaling
MySQL Sharding: Tools and Best Practices for Horizontal ScalingMySQL Sharding: Tools and Best Practices for Horizontal Scaling
MySQL Sharding: Tools and Best Practices for Horizontal Scaling
 
Sharding using MySQL and PHP
Sharding using MySQL and PHPSharding using MySQL and PHP
Sharding using MySQL and PHP
 
SunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQLSunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQL
 
Coding like a girl - DjangoCon
Coding like a girl - DjangoConCoding like a girl - DjangoCon
Coding like a girl - DjangoCon
 
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
Inexpensive Datamasking for MySQL with ProxySQL — Data Anonymization for Deve...
 
Exploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherExploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better Together
 
MEAN Stack
MEAN StackMEAN Stack
MEAN Stack
 
Strip your TEXT fields
Strip your TEXT fieldsStrip your TEXT fields
Strip your TEXT fields
 
The MySQL Server Ecosystem in 2016
The MySQL Server Ecosystem in 2016The MySQL Server Ecosystem in 2016
The MySQL Server Ecosystem in 2016
 

Similar to Ora mysql bothGetting the best of both worlds with Oracle 11g and MySQL Enterprise

MySQL State of the Dolphin - Rich Mason
MySQL State of the Dolphin - Rich MasonMySQL State of the Dolphin - Rich Mason
MySQL State of the Dolphin - Rich MasonMySQL Brasil
 
MySQL DW Breakfast
MySQL DW BreakfastMySQL DW Breakfast
MySQL DW BreakfastIvan Zoratti
 
My sql roadmap 2008 2009
My sql roadmap 2008 2009My sql roadmap 2008 2009
My sql roadmap 2008 2009xKinAnx
 
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB Cluster
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB ClusterWebinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB Cluster
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB ClusterContinuent
 
My sql 5.5_product_update
My sql 5.5_product_updateMy sql 5.5_product_update
My sql 5.5_product_updatehenriquesidney
 
MySQL 8: Ready for Prime Time
MySQL 8: Ready for Prime TimeMySQL 8: Ready for Prime Time
MySQL 8: Ready for Prime TimeArnab Ray
 
MySQL Options in OpenStack
MySQL Options in OpenStackMySQL Options in OpenStack
MySQL Options in OpenStackTesora
 
Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...
Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...
Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...IndicThreads
 
OpenStack Days East -- MySQL Options in OpenStack
OpenStack Days East -- MySQL Options in OpenStackOpenStack Days East -- MySQL Options in OpenStack
OpenStack Days East -- MySQL Options in OpenStackMatt Lord
 
MySQL Technology Overview
MySQL Technology OverviewMySQL Technology Overview
MySQL Technology OverviewKeith Hollman
 
DataStax C*ollege Credit: What and Why NoSQL?
DataStax C*ollege Credit: What and Why NoSQL?DataStax C*ollege Credit: What and Why NoSQL?
DataStax C*ollege Credit: What and Why NoSQL?DataStax
 
Oracle my sql cluster cge
Oracle my sql cluster cgeOracle my sql cluster cge
Oracle my sql cluster cgeseungdon1
 
MySQL - powering the web economy v1.0
MySQL - powering the web economy v1.0MySQL - powering the web economy v1.0
MySQL - powering the web economy v1.0IDG Romania
 
20090425mysqlslides 12593434194072-phpapp02
20090425mysqlslides 12593434194072-phpapp0220090425mysqlslides 12593434194072-phpapp02
20090425mysqlslides 12593434194072-phpapp02Vinamra Mittal
 
My sql competitive update
My sql competitive updateMy sql competitive update
My sql competitive updatexKinAnx
 
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControl
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControlWebinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControl
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControlContinuent
 
Grails in the Cloud (2013)
Grails in the Cloud (2013)Grails in the Cloud (2013)
Grails in the Cloud (2013)Meni Lubetkin
 
Tutorial MySQL com Java
Tutorial MySQL com JavaTutorial MySQL com Java
Tutorial MySQL com JavaMySQL Brasil
 
Mysql overview_20100811
Mysql overview_20100811Mysql overview_20100811
Mysql overview_20100811thinkinlamp
 

Similar to Ora mysql bothGetting the best of both worlds with Oracle 11g and MySQL Enterprise (20)

MySQL State of the Dolphin - Rich Mason
MySQL State of the Dolphin - Rich MasonMySQL State of the Dolphin - Rich Mason
MySQL State of the Dolphin - Rich Mason
 
MySQL overview
MySQL overviewMySQL overview
MySQL overview
 
MySQL DW Breakfast
MySQL DW BreakfastMySQL DW Breakfast
MySQL DW Breakfast
 
My sql roadmap 2008 2009
My sql roadmap 2008 2009My sql roadmap 2008 2009
My sql roadmap 2008 2009
 
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB Cluster
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB ClusterWebinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB Cluster
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB Cluster
 
My sql 5.5_product_update
My sql 5.5_product_updateMy sql 5.5_product_update
My sql 5.5_product_update
 
MySQL 8: Ready for Prime Time
MySQL 8: Ready for Prime TimeMySQL 8: Ready for Prime Time
MySQL 8: Ready for Prime Time
 
MySQL Options in OpenStack
MySQL Options in OpenStackMySQL Options in OpenStack
MySQL Options in OpenStack
 
Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...
Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...
Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...
 
OpenStack Days East -- MySQL Options in OpenStack
OpenStack Days East -- MySQL Options in OpenStackOpenStack Days East -- MySQL Options in OpenStack
OpenStack Days East -- MySQL Options in OpenStack
 
MySQL Technology Overview
MySQL Technology OverviewMySQL Technology Overview
MySQL Technology Overview
 
DataStax C*ollege Credit: What and Why NoSQL?
DataStax C*ollege Credit: What and Why NoSQL?DataStax C*ollege Credit: What and Why NoSQL?
DataStax C*ollege Credit: What and Why NoSQL?
 
Oracle my sql cluster cge
Oracle my sql cluster cgeOracle my sql cluster cge
Oracle my sql cluster cge
 
MySQL - powering the web economy v1.0
MySQL - powering the web economy v1.0MySQL - powering the web economy v1.0
MySQL - powering the web economy v1.0
 
20090425mysqlslides 12593434194072-phpapp02
20090425mysqlslides 12593434194072-phpapp0220090425mysqlslides 12593434194072-phpapp02
20090425mysqlslides 12593434194072-phpapp02
 
My sql competitive update
My sql competitive updateMy sql competitive update
My sql competitive update
 
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControl
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControlWebinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControl
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #7: ClusterControl
 
Grails in the Cloud (2013)
Grails in the Cloud (2013)Grails in the Cloud (2013)
Grails in the Cloud (2013)
 
Tutorial MySQL com Java
Tutorial MySQL com JavaTutorial MySQL com Java
Tutorial MySQL com Java
 
Mysql overview_20100811
Mysql overview_20100811Mysql overview_20100811
Mysql overview_20100811
 

More from Ivan Zoratti

AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jAI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jIvan Zoratti
 
Introducing the Open Edge Module
Introducing the Open Edge ModuleIntroducing the Open Edge Module
Introducing the Open Edge ModuleIvan Zoratti
 
MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017Ivan Zoratti
 
NOSQL Meets Relational - The MySQL Ecosystem Gains More Flexibility
NOSQL Meets Relational - The MySQL Ecosystem Gains More FlexibilityNOSQL Meets Relational - The MySQL Ecosystem Gains More Flexibility
NOSQL Meets Relational - The MySQL Ecosystem Gains More FlexibilityIvan Zoratti
 
MariaDB ColumnStore - LONDON MySQL Meetup
MariaDB ColumnStore - LONDON MySQL MeetupMariaDB ColumnStore - LONDON MySQL Meetup
MariaDB ColumnStore - LONDON MySQL MeetupIvan Zoratti
 
ScaleDB Technical Presentation
ScaleDB Technical PresentationScaleDB Technical Presentation
ScaleDB Technical PresentationIvan Zoratti
 
Time Series From Collection To Analysis
Time Series From Collection To AnalysisTime Series From Collection To Analysis
Time Series From Collection To AnalysisIvan Zoratti
 
ScaleDB Technical Presentation
ScaleDB Technical PresentationScaleDB Technical Presentation
ScaleDB Technical PresentationIvan Zoratti
 
MySQL for Beginners - part 1
MySQL for Beginners - part 1MySQL for Beginners - part 1
MySQL for Beginners - part 1Ivan Zoratti
 
Anatomy of a Proxy Server - MaxScale Internals
Anatomy of a Proxy Server - MaxScale InternalsAnatomy of a Proxy Server - MaxScale Internals
Anatomy of a Proxy Server - MaxScale InternalsIvan Zoratti
 
Orchestrating MySQL
Orchestrating MySQLOrchestrating MySQL
Orchestrating MySQLIvan Zoratti
 
The Evolution of Open Source Databases
The Evolution of Open Source DatabasesThe Evolution of Open Source Databases
The Evolution of Open Source DatabasesIvan Zoratti
 
MaxScale for Effective MySQL Meetup NYC - 14.01.21
MaxScale for Effective MySQL Meetup NYC - 14.01.21MaxScale for Effective MySQL Meetup NYC - 14.01.21
MaxScale for Effective MySQL Meetup NYC - 14.01.21Ivan Zoratti
 
SkySQL & MariaDB What's all the buzz?
SkySQL & MariaDB What's all the buzz?SkySQL & MariaDB What's all the buzz?
SkySQL & MariaDB What's all the buzz?Ivan Zoratti
 
MySQL & MariaDB - Innovation Happens Here
MySQL & MariaDB - Innovation Happens HereMySQL & MariaDB - Innovation Happens Here
MySQL & MariaDB - Innovation Happens HereIvan Zoratti
 
What can we learn from NoSQL technologies?
What can we learn from NoSQL technologies?What can we learn from NoSQL technologies?
What can we learn from NoSQL technologies?Ivan Zoratti
 
Big Data with MySQL
Big Data with MySQLBig Data with MySQL
Big Data with MySQLIvan Zoratti
 
The sky's the limit
The sky's the limitThe sky's the limit
The sky's the limitIvan Zoratti
 

More from Ivan Zoratti (20)

AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jAI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
 
Introducing the Open Edge Module
Introducing the Open Edge ModuleIntroducing the Open Edge Module
Introducing the Open Edge Module
 
MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017MySQL Performance Tuning London Meetup June 2017
MySQL Performance Tuning London Meetup June 2017
 
NOSQL Meets Relational - The MySQL Ecosystem Gains More Flexibility
NOSQL Meets Relational - The MySQL Ecosystem Gains More FlexibilityNOSQL Meets Relational - The MySQL Ecosystem Gains More Flexibility
NOSQL Meets Relational - The MySQL Ecosystem Gains More Flexibility
 
MariaDB ColumnStore - LONDON MySQL Meetup
MariaDB ColumnStore - LONDON MySQL MeetupMariaDB ColumnStore - LONDON MySQL Meetup
MariaDB ColumnStore - LONDON MySQL Meetup
 
ScaleDB Technical Presentation
ScaleDB Technical PresentationScaleDB Technical Presentation
ScaleDB Technical Presentation
 
Time Series From Collection To Analysis
Time Series From Collection To AnalysisTime Series From Collection To Analysis
Time Series From Collection To Analysis
 
ScaleDB Technical Presentation
ScaleDB Technical PresentationScaleDB Technical Presentation
ScaleDB Technical Presentation
 
MySQL for Beginners - part 1
MySQL for Beginners - part 1MySQL for Beginners - part 1
MySQL for Beginners - part 1
 
Anatomy of a Proxy Server - MaxScale Internals
Anatomy of a Proxy Server - MaxScale InternalsAnatomy of a Proxy Server - MaxScale Internals
Anatomy of a Proxy Server - MaxScale Internals
 
Orchestrating MySQL
Orchestrating MySQLOrchestrating MySQL
Orchestrating MySQL
 
GTIDs Explained
GTIDs ExplainedGTIDs Explained
GTIDs Explained
 
The Evolution of Open Source Databases
The Evolution of Open Source DatabasesThe Evolution of Open Source Databases
The Evolution of Open Source Databases
 
MaxScale for Effective MySQL Meetup NYC - 14.01.21
MaxScale for Effective MySQL Meetup NYC - 14.01.21MaxScale for Effective MySQL Meetup NYC - 14.01.21
MaxScale for Effective MySQL Meetup NYC - 14.01.21
 
SkySQL & MariaDB What's all the buzz?
SkySQL & MariaDB What's all the buzz?SkySQL & MariaDB What's all the buzz?
SkySQL & MariaDB What's all the buzz?
 
MySQL & MariaDB - Innovation Happens Here
MySQL & MariaDB - Innovation Happens HereMySQL & MariaDB - Innovation Happens Here
MySQL & MariaDB - Innovation Happens Here
 
What can we learn from NoSQL technologies?
What can we learn from NoSQL technologies?What can we learn from NoSQL technologies?
What can we learn from NoSQL technologies?
 
Big Data with MySQL
Big Data with MySQLBig Data with MySQL
Big Data with MySQL
 
Sky Is The limit
Sky Is The limitSky Is The limit
Sky Is The limit
 
The sky's the limit
The sky's the limitThe sky's the limit
The sky's the limit
 

Recently uploaded

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 

Recently uploaded (20)

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 

Ora mysql bothGetting the best of both worlds with Oracle 11g and MySQL Enterprise

  • 2. <Insert Picture Here> Getting the Best of Both Worlds with Oracle Database 11g and MySQL Enterprise Ivan Zoratti Sales Consulting Manager EMEA - Oracle MySQL Tuesday, 21 September 2010
  • 3. The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. 3 Tuesday, 21 September 2010
  • 4. Pluggable Storage Engine Architecture Tuesday, 21 September 2010
  • 5. Agenda • Intro to MySQL <Insert Picture Here> • MySQL Architecture • MySQL Enterprise • MySQL for Online Applications • When It Makes Sense to Use MySQL • Oracle 11g and MySQL integration 5 Tuesday, 21 September 2010
  • 6. Intro to MySQL 6 Tuesday, 21 September 2010
  • 7. Oracle’s Strategy: Complete. Open. Integrated. • Built together • Tested together • Managed together • Serviced together • Based on open standards • Lower cost • Lower risk • More reliable Tuesday, 21 September 2010
  • 8. Industry’s most complete LAMP Stack Application s Eclipse, N e tbeans Apache, G la ssfish MySQL Oracle En t. Linux & VM Tuesday, 21 September 2010
  • 9. MySQL Today • In Development/Production since 1995 • Acquired with Sun Microsystems • Leading Open Source Database for online apps • 12M+ server installations worldwide • 70,000 downloads each day • Dramatically reduces Database TCO • Performance, Reliability, Ease of Use Tuesday, 21 September 2010
  • 10. MySQL’s Industry Leading Customers Web OEM / ISV’s SaaS, Hosting Telecommunications Enterprise 2.0 MySQL is Powering the Web Tuesday, 21 September 2010
  • 11. The Top 20 most popular Websites 1.Google 11.QQ.com 2.Facebook 12.Yahoo! JP 3.YouTube 13.Google IN 4.Yahoo! 14.Taobao 5.Windows Live 15.Amazon.com 6.Baidu 16.Sina 7.Wikipedia 17.Google DE 8.Blogger 18.Google HK 9.Twitter 19.Wordpress 10.MSN 20.Google UK Source: Alexa Top Sites - 1 September 2010 ...and many more: Flickr, Second Life, Craigslist, Slashdot, LiveJournal, Digg, Del.icio.us, Pricegrabber.com, Weather.com etc. Tuesday, 21 September 2010
  • 12. MySQL Server Offering and Licensing Community Server Embedded Server Community Commercial Enterprise GPL Licence GPL • Available under GPL • For OEMs and ISVs • Enterprise Tools • Software tested by the • Frees from applying • Services to ensure the maximum Community GPL rules to source quality, uptime, and performance of • No Maintenance SLA code and IP MySQL Enterprise systems • No Support • Deeply embedded or • 24x7 support • No ISV Certification bundled • Consultative services • Self-help knowledge aids • Extended Lifecycle Support • Optional Custom builds and service patches Tuesday, 21 September 2010
  • 14. Pluggable Storage Engine Architecture Tuesday, 21 September 2010
  • 15. MySQL Replication • Typical Master/Slave replication environment • Multiple replication topologies are supported • 1 Master : many Slaves, Circular, Master/Master etc. • Available for all platforms • Enabled for all storage engines • Asynchronous or Semi-Synchronous with Heartbeat • Statement Based (SBR), Row Based (RBR) or mixed-format (MIXED) • Replicate data from one MySQL server/storage engine combination to a different MySQL Server/storage engine combination • Perform backups using a slave server and continue to process updates on the master while the backup is being made on the slave • 1-minute configuration Application Master Slave Tuesday, 21 September 2010
  • 16. MySQL Replication • Data written on the master is also written into the binary log • The I/O thread on the slave collects logs from the master binary log and writes a relay log on the slave • The SQL thread on the slave reads the relay log and apply the writes on the slave • Slave writes are optionally added to the binary log on the slave • If the semi-sync plugin is installed and enabled, the master waits until the I/O thread on one of the semi-sync slave has written the transaction to disk, or until it receives a timeout, then it returns the ACK to the application. Tuesday, 21 September 2010
  • 17. MySQL Cluster/NDB Storage Engine • Cost • Use commodity hardware to accommodate the growth of users, traffic, and data Applications • Fault Tolerance • No single point of failure • High Availability • Data is replicated across nodes and always available • Automatic fail-over MySQL Server Nodes • Scalability • Distributes large workloads Data • Replicas for Read, Partitions for Write Nodes • Supports “Scale Out” • High Performance • Load balanced • Memory or Disk based storage engine Management Server & Client • Designed high volume/small transactions • Simplified Management • Cluster management utilities • Commodity components Tuesday, 21 September 2010
  • 18. MySQL Cluster /NDB Storage Engine Clients MySQL Cluster Application Nodes MySQL MySQL Cluster Cluster Mgmt Mgmt MySQL Cluster Data Nodes Tuesday, 21 September 2010
  • 19. MySQL Server 5/MySQL Cluster 7 Reliability Performance Ease of Use • SQL Mode • Stored Procedures • Instance Manager • Triggers & Views • Cluster query push down • Information Schema . 50 • Precision Math • Query optimisations • Cursors • Increased object support • Archive Engine • Enterprise Backup & Recovery • Enteprise Monitoring Tool • InnoDB storage improvements Manager • Row-Based Replication • Table/Index Partitioning • XML/XPath Support . 51 • Disk-based Cluster • Full-Text Index Improvements • Task Scheduler • Cluster Replication with • Faster ALTER TABLE • Storage Engine Plug-in API Conflict Resolution • Faster ADD/DROP Index • CSV Storage Engine • Enterprise Query Analyser • Parallel Data Import RC • Default InnoDB (Barracuda) • Multiple Buffer Pool and • SIGNAL/RESIGNAL 5.5 • Semi-Sync Replication Rollback Segment • NDB_INFO Schema • Enterprise Connectors • Eliminated Lock bottlenecks • MySQL Custer Manager • Enterprise Support • Extended Change Buffering & • MySQL Workbench 5.2 Diagnostics Purge Scheduling • MySQL Cluster Connectors • MySQL Cluster on Windows • PERFORMANCE_SCHEMA • MySQL Enterprise Backup • Fast InnoDB Recovery • Multithreaded Cluster Tuesday, 21 September 2010
  • 20. MySQL and DRBD Distributed Replicated Block Device • Asynchronous, Semi-Synchronous or Synchronous Applications • Runs over standard IP networks • Distributed storage • Similar to network RAID • Characteristics Active Node Virtual IP Passive Node • No special networking components • Excellent performance (blocks vs. rows of data) • Manages inconsistencies of data during a failure DRBD/AVS • Hides the complexity of many recovery actions • Linux heartbeat manages fail over and virtual IPs Tuesday, 21 September 2010
  • 21. MySQL and Shared Storage Clusters • Active/Passive server or process configuration • Links servers with 3rd party software and virtual IP Applications • Reliability • Commonly used solution • Fault Tolerance • No single point of failure with MySQL Server Nodes appropriate hardware • High Availability • Data handled by a SAN or NAS and always available • Automatic fail-over Shared Storage • Simplified Management • Cluster management utilities Tuesday, 21 September 2010
  • 22. Distributed Caching Memcache • Memcache is a high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load. • Created by Danga Interactive for LiveJournal • Available on Linux, FreeBSD, Solaris, Windows, OS X • Simple UDP protocol, Libevent based • Integration with all the major RDBMSs, Web & App Servers and Languages • Used (amongst many) by LiveJournal, Fotolog, Facebook, Amazon, Yahoo, YouTube, Wikipedia etc. Tuesday, 21 September 2010
  • 24. MySQL Enterprise: Commercial Offering • MySQL Enterprise Server • Monthly Rapid Updates Database • Quarterly Service Packs • Hot Fix Program • Subscription: • Extended End-of-Life • MySQL Enterprise • License (OEM): • Global Monitoring of All Servers • Embedded Server • Web-Based Central Console Monitoring • Built-in Advisors, Expert Advice • MySQL Query Analyzer • Support • Specialised Scale-Out Help Cluster Carrier- • MySQL Grade • Training • 24 x 7 x 365 Problem Resolution • Consulting • Online Self help Knowledge Base Support • Consultative Help• NRE • Bug Escalation Program http://www.mysql.com/products/enterprise/ Tuesday, 21 September 2010
  • 25. MySQL Enterprise Monitor • Single, consolidated view into entire MySQL environment • Monitor MySQL Sessions, Connections, Replication Latency • Improve Application Performance • Gain Immediate Visibility into Your Replication Topologies • Customisable rules-based monitoring and alerts • Identifies problems before they occur • Makes it easier to scale out without requiring more DBAs A Virtual MySQL DBA Assistant! http://www.mysql.com/products/enterprise/monitor.html Tuesday, 21 September 2010
  • 26. MySQL Enterprise Monitor Architecture Individual Servers w/Agent Configuration Advisor Scheduling Alerts/Notifications Service Agent written in C and Visual Monitoring supports all MySQL Enterprise Query Analysis Service platforms Manager Service Manager written in Java Collects MySQL and OS servlets exposed as web services. specific metrics, Query Supports Linux, Solaris, Mac OSX content/stats and Microsoft Windows Enterprise Dashboard Enterprise Dashboard Web- based, written in JSP Advisor Monitoring Event based Alerts Advice/Corrective Actions Repository holds historical performance data for analysis Repository Holds historical MySQL and OS data, Query Statistics Master-Slave Replication Tuesday, 21 September 2010
  • 27. MySQL Enterprise Monitor Dashboard Tuesday, 21 September 2010
  • 28. MySQL Query Analyzer • Centralised monitoring of Queries across all servers • No reliance on Slow Query Logs, SHOW PROCESSLIST;, vmstat, etc. • Aggregated view of query execution counts, time, and rows • Saves time parsing atomic executions for total query expense Tuesday, 21 September 2010
  • 29. Monitoring Queries with MySQL Enterprise Proxy Server MySQL Database Application Server 3306 (SQL statements & result sets)‫‏‬ 2. Proxy Server 6446 & MySQL Agent ** (MySQL, OS monitoring data, SQL performance data: statements, examples, EXPLAINs, aggregated stats)‫‏‬ 18080 1. MySQL Enterprise Monitor (Service Manager, Dashboard) List of components to download & configure: 1. MySQL Enterprise Monitor & Query Analyzer ** MySQL Proxy is optionally deployed and 2. MySQL Proxy & Agent configured as a plugin with the MySQL Agent Tuesday, 21 September 2010
  • 30. Monitoring Queries with Connector/J, .NET Application Server MySQL Database (SQL statements & result sets)‫‏‬ 3. Connector/J, NET 3306 4. Plugin for Connector/J, NET 2. MySQL Agent (SQL performance data: statements, examples, EXPLAINs, aggregated stats)‫‏‬ (MySQL & OS monitoring data)‫‏‬ 18080 1. MySQL Enterprise Monitor (Service Manager, Dashboard)‫‏‬ List of components to download & configure: 1. MySQL Enterprise Monitor & Query Analyzer 2. MySQL Agent 3. Connector/J v5.1 or newer/ Connector/NET v6.2 or newer 4. MySQL Enterprise Plugin for Connector/J, NET Tuesday, 21 September 2010
  • 31. MySQL Query Analyzer Tuesday, 21 September 2010
  • 32. MySQL for Online Applications Tuesday, 21 September 2010
  • 33. Vertical vs Horizontal Scalability Vertical Scale-Up Horizontal Scale-Out • Expensive SMP hardware • Commodity Intel / AMD • Closed source software • Open source software • Platform lock-in • Platform freedom • “Fork Lift” to increase capacity • Add commodity servers to increase capacity Tuesday, 21 September 2010
  • 34. Read-intensive Application Scalability Replication Applications Master Slaves Replication Tuesday, 21 September 2010
  • 35. Read-intensive Application Scalability Application Servers Read Write Relay Servers Slave Servers Tuesday, 21 September 2010
  • 36. Write-intensive Applications Scalability Handle multiple connections for: > Authentication –Low Persistency > Session Management – Baskets and temporary selections > Logging/Click Stream – Queues, such as orders, > Management and documents that change status etc. Administration – Short Messages > Application Data > Separate low persistency and –High Persistency high persistency data – Catalogues – Wish Lists – Recommendations – Forums, Messages, Posts, Comments etc. Tuesday, 21 September 2010
  • 37. Sharding Application Servers Read Write 0 1 2 3 4 Master Servers 0 4 1 3 2 Slave Servers Tuesday, 21 September 2010
  • 38. Front End Database Infrastructure Tuesday, 21 September 2010
  • 39. Front End Database Infrastructure Authorization & Profile NDB UID/PWD/Security Account Settings Personalization Tuesday, 21 September 2010
  • 40. Front End Database Infrastructure Session Management Authorization & Profile NDB NDB Session Basket/Trolley/Cart Current Configuration Tuesday, 21 September 2010
  • 41. Front End Database Infrastructure Transactional Application Data Session Management InnoDB Authorization & Profile NDB NDB Orders, Invoices Wish Lists Forum Posts Messages Tuesday, 21 September 2010
  • 42. Front End Database Infrastructure Transactional Application Data Session Management InnoDB Non-Transactional Data Authorization & Profile NDB MyISAM NDB Catalogues Recommendations Reviews Comments Tuesday, 21 September 2010
  • 43. Front End Database Infrastructure Transactional Application Data Session Management InnoDB Non-Transactional Data Authorization & Profile NDB MyISAM Logging NDB Archive Click Stream Users’ Activity Tuesday, 21 September 2010
  • 44. Front End Database Infrastructure Transactional Application Data Session Management InnoDB Non-Transactional Data Authorization & Profile NDB MyISAM Logging NDB Archive Generic, Distributed Caching Tuesday, 21 September 2010
  • 45. When It Makes Sense to Use MySQL Tuesday, 21 September 2010
  • 46. Assuming you know Oracle DB... • Clients • 99% of the operating and development environments have a MySQL connector, a MySQL module or plug-in • Security • No external authentication at the moment • Connections • MySQL handles connect/disconnect easily • Permanent connections are great but not required Tuesday, 21 September 2010
  • 47. Assuming you know Oracle DB... • Data Definition Language (DDL) • Standard SQL is available • Online ALTERs are not available in the standard MySQL server • MySQL Replication is often used to manage changes and scheduled downtime • Basic Operations (standard DML) • Standard SQL is available • High performance with multiple INSERTs and REPLACE • “Hints” are “Rules” • USE INDEX • FORCE INDEX • IGNORE INDEX Tuesday, 21 September 2010
  • 48. Assuming you know Oracle DB... • Stored Procedures and Routines • Basic language, used primarily to avoid network hops • UDFs are more efficient • Referential Integrity • Available with InnoDB • Do you always need it? • Storage Engines • Multiple options • Select the best engine for the job Tuesday, 21 September 2010
  • 49. Assuming you know Oracle DB... • High Availability • Multiple options depending on complexity, required HA and budget • Mixed technologies • Disaster Recovery and Geographical Replication • MySQL Replication is the recommended solution • Extended Features • Usually they are not the primary reason to choose MySQL • “Basic” XML, Text, Spatial features • Are they good enough for you? Tuesday, 21 September 2010
  • 50. Myths • No Referential Integrity • Lack of Performance • Lack of Scalability • Lack of High Availability Tuesday, 21 September 2010
  • 51. Reality • Basic SQL features • Limited Procedural Language • Limited extensions • “Standard” indexing • BTree and Hash • No RAC-like architecture Tuesday, 21 September 2010
  • 52. You should use MySQL for... • Online Applications • The “M” in the LAMP stack • The most common database on the Internet • The most used and default backend for online environments, solutions and frameworks • Data Marts • Easy and quick to install. • Create - Use - Remove • High performance data load and queries • Compatibility with Open Source and Commercial BI and Reporting Tools • Embedded Database • Lightweight with small footprint • Wide range of utilization • Simple to bundle or to deeply embed Tuesday, 21 September 2010
  • 53. You should not use MySQL for... • ERP Solutions • No certification or compatibility • Missing extended features • Not scalable for a typical SMP environment • Data Warehouse and Business Intelligence Solutions • The optimizer works fine on relatively simple queries • Subquery optimization... well, it’s not optimal :( • Missing some of the advanced indexing and partitioning features • Missing parallel queries Tuesday, 21 September 2010
  • 54. Oracle 11g and MySQL Integration Tuesday, 21 September 2010
  • 55. Integration Aspects • Application Integration • Information and services exchanging • Information and services sharing • Systems Integration • Systems co-location and co-existence • Systems Administration • Systems Monitoring • Data Integration • Batch Data Transfer and Exchange • Real Time Data Replication • Real Time Data Sharing Tuesday, 21 September 2010
  • 56. Application Integration • Information Exchange • Messaging systems • Internal component in C/C++, Perl/PhP/Python, Java & .NET • Integration through caching distributed systems • Memcache is the standard distributed caching mechanism in the online world, also useful for information exchange • Memcache is available on almost all the client environments and as plug-in as database functions Tuesday, 21 September 2010
  • 57. Application Integration • Information Exchange • Messaging systems • Internal component in C/C++, Perl/PhP/Python, Java & .NET • Integration through caching distributed systems • Memcache is the standard distributed caching mechanism in the online world, also useful for information exchange mysql> select memc_set( '2', 'BCD'); +-----------------------+ | memc_set( '2', 'BCD') is available on almost all the client environments and • Memcache | | as plug-in as database functions +-----------------------+ 0 | +-----------------------+ 1 row in set (0.00 sec) mysql> select memc_get( '1' ); +-----------------+ | memc_get( '1' ) | +-----------------+ | ABC | mysql> select memc_set( md5('MYSQLselect * from t1 limit 10'),'...'); +-----------------+ ... 1 row in set (0.00 sec) mysql> select memc_get( md5('ORACLEselect * from t1 limit 10'))G ... Tuesday, 21 September 2010
  • 58. Distributed Caching Memcached Cluster Tuesday, 21 September 2010
  • 59. Systems Integration • Instances co-location • File Exchange • Text, Fixed length, CSV, XML • Oracle Commitment • Oracle Enterprise Manager (CY 2011) • Oracle Audit Vault (CY 2011) • Oracle Secure Backup (CY 2011) • Pythian MySQL Management Plug-in for OEM • http://www.pythian.com/documents/pythian-mysql-plug-in-datasheet.pdf Tuesday, 21 September 2010
  • 60. Data Integration Batch Transfer • Oracle Data Integrator • SQL*PLUS/SQL*LOADER - mysqldump/mysqlimport • CSV files/tables access • Informatica Products Suite Tuesday, 21 September 2010
  • 61. Data Integration Real Time Replication Oracle GoldenGate 11g • Real Time (CDC - Change Data Capture) Oracle ➜ MySQL • ETL - Extraction Transformation & Loading MySQL ➜ Oracle Oracle ↔ MySQL • Platforms: • Linux, Windows, Solaris Tuesday, 21 September 2010
  • 62. Data Integration Real Time Replication HIT Software DBMoto 7 • Real Time (CDC - Change Data Capture) Oracle ➜ MySQL MySQL ➜ Oracle Oracle ↔ MySQL • Refresh, Mirroring and Synchronization • Based on Oracle and MySQL Logs • Windows Only http://www.hitsw.com/products_services/dbmoto/DBMoto_Factsheet.pdf Tuesday, 21 September 2010
  • 63. Data Integration Real Time Data Connection • Fast, Real Time, Difficult to scale • Oracle Heterogenous Services • MySQL User Defined Functions • Set of MySQL Functions executable at instance level to access an Oracle DB • Memcached Sharing • Application Level • Database Level • Memcached Access from the DB / DB Functions & Triggers Tuesday, 21 September 2010