MySQL Cluster Product Overview - by Wagner Bianchi Jr
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share

MySQL Cluster Product Overview - by Wagner Bianchi Jr

  • 1,174 views
Uploaded on

Uma visão geral do MySQL Cluster e algumas novidades que vem por aí na versão 7.2

Uma visão geral do MySQL Cluster e algumas novidades que vem por aí na versão 7.2

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
1,174
On Slideshare
1,174
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
29
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. <Insert Picture Here>MySQL Cluster Product OverviewWagner Bianchi – contato@wagnerbianchi.com
  • 2. Disclaimer The preceding 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, 2 release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. 2
  • 3. Industry Leaders Rely on MySQL Web & Enterprise OEM & ISVs Cloud 3
  • 4. Agenda• MySQL Cluster Product Overview – O que é o MySQL Cluster? – Componentes do MySQL Cluster – MySQL Cluster Manager ™ – Casos de Utilização – Benchmarks• MySQL Cluster 7.2 4
  • 5. O que é o MySQL Cluster? 5
  • 6. Mapping HA Architectures to Availability 6
  • 7. Multi-Data Center ScalabilityGeographic Replication • Replicate complete clusters across data centers – DR & data locality – Fully active/active Geographic – No passive resources Replication • Split individual clusters across data centers – Synchronous replication & auto-failover between sites – Delivered as part of MySQL Cluster 7.2 DMR 7
  • 8. Mapping Applications to HA Technology Shared-Nothing, Database Clustered / Applica ons Geo-Replicated Replica on Virtualized Cluster E-Commerce / Trading (1) Session Management (1) User Authen ca on / Accoun ng (1) Feeds, Blogs, Wikis OLTP (1) Data Warehouse/BI Content Management CRM Collabora on Packaged So ware Network Infrastructure Core Telco Apps (HLR/HSS/SDP…)1: Replication used in combination with cluster or virtualization – based HA 8
  • 9. MySQL Cluster• O MySQL Cluster é formado por 3 componentes: – Management Node: permite a realização de tarefas administrativas como monitoramento dos nós, backup dos nós de dados do cluster e outras – seu binário é o ndb_mgmd; – Data ou Storage Node: responsável por processar e armazenar dados dos bancos de dados localizados no cluster – seu binário é o ndbd ou ndbmtd; – API ou SQL Node: este é o nó que recebe as conexões das aplicações e enviam e requisitam dados armazenados nos Data Nodes – seu binário é o mysqld; 9
  • 10. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 P1 Data Node 2 P2 P3 Data Node 3 P4 Data Node 4 10
  • 11. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 P1 Data Node 2 P2 P3 Data Node 3 P4 Data Node 4 11
  • 12. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 P1 Data Node 2 F1 P2 P3 Data Node 3 P4 Data Node 4 12
  • 13. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 P1 Data Node 2 F3 F1 P2 P3 Data Node 3 P4 Data Node 4 13
  • 14. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Data Node 2 F3 F1 P2 P3 Data Node 3 P4 Data Node 4 14
  • 15. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 P4 Data Node 4 15
  • 16. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 P4 Data Node 4 F2 16
  • 17. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 P4 Data Node 4 F4 F2 17
  • 18. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 F4 P4 Data Node 4 F4 F2 18
  • 19. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Node Group 1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 F4 P4 Data Node 4 F4 F2 19
  • 20. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Node Group 1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 F4 P4 Node Group 2 Data Node 4 F4 F2 20
  • 21. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Node Group 1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 F4 P4 Node Group 2 Data Node 4 F4 F2 21
  • 22. MySQL Cluster - Auto-Partitioning Table T1 Data Node 1 F1 F3 P1 Node Group 1 Data Node 2 F3 F1 P2 P3 Data Node 3 F2 F4 P4 Node Group 2 Data Node 4 F4 F2 22
  • 23. MySQL Cluster - Auto-Partitioning Table T1 Scalability a P1 Performanc e P2 HA a P3 Ease of use P4 SQL/Joins a ACID a Transaction s 23
  • 24. MySQL Cluster 24
  • 25. MySQL Cluster• Recomenda-se que: – todos os componentes sejam pelo menos duplicados, tendo uma instalação com no mínimo 6 nodes dentro do cluster; – o cluster seja colocado em uma sub-rede que possibilite trafegar dados somente do cluster para que não haja perda de pacotes; – todas as máquinas que figuram SQL e Storage node tenham as mesmas configurações para evitar bottlenecks; – todos os binários de todos os componentes sejam da mesma versão e release do produto; 25
  • 26. Comparison MySQL Oracle VM Solaris MySQL HA Technology WSFC* Replication Template Cluster Cluster All supported by Windows Server Oracle Linux Oracle Solaris All supported by Platform Support MySQL Server ** 2008 MySQL Cluster **** All (InnoDB InnoDB InnoDB All (InnoDB NDB (MySQLSupported Storage Engine recommended) recommended) Cluster) Auto IP Failover No Yes Yes Yes Yes Auto Database Failover No Yes Yes Yes Yes Auto Data No N/A – Shared N/A – Shared N/A – Shared Yes Storage Storage Storage Resynchronization Failover Time User / Script 5 seconds + 5 seconds + 5 seconds + 1 Second or Less Dependent InnoDB Recovery InnoDB Recovery InnoDB Recovery Time*** Time*** Time*** Asynchronous / Semi- N/A – Shared N/A – Shared N/A – Shared Synchronous Replication Mode Synchronous Storage Storage Storage No, distributed across Yes Yes Yes No, distributed Shared Storage nodes across nodes Master & Multiple Active / Passive Active / Passive Active / Passive 255 + Multiple No. of Nodes Slaves Master + Multiple Master + Multiple Master + Multiple Slaves Slaves Slaves Slaves Availability Design Level 99.9% 99.95% 99.99% 99.99% 99.999% * Windows Server 2008R2 Failover Clustering ** http://www.mysql.com/support/supportedplatforms/database.html *** InnoDB recovery time dependent on cache and database size, database activity, etc. **** http://www.mysql.com/support/supportedplatforms/cluster.html 26
  • 27. MySQL Cluster Manager ™ • Funciona através do MySQL Enterprise Monitor; • Permite fazer start, restart e stop de Storage Nodes através de Interface Gráfica; • Live Demo: http://bit.ly/rqjQRp 27
  • 28. MySQL Cluster Manager ™ MySQL Cluster nodes automatically restarted after configuration change 28
  • 29. Benchmarks – Scale-Out Aumento de servidores faz que haja aumento na escala, aumentando a capacidade de resolução de requisições! 29
  • 30. MySQL Cluster Architecture REST LDAP Application Nodes Scalability Performanc e Node Group 1 Node Group 2 HA F1 F2 Ease of use Node 1Cluster Node 3 Cluster Mgr Mgr F3 F4 SQL/Joins a F3 F4 ACID a Node 2 Node 4 F1 F2 Transaction Data s Nodes 30
  • 31. MySQL Cluster Architecture REST LDAP Application Nodes Scalability Performanc e Node Group 1 Node Group 2 HA a F1 F2 Ease of use Node 1Cluster Node 3 Cluster Mgr Mgr F3 F4 SQL/Joins a F3 F4 ACID a Node 2 Node 4 F1 F2 Transaction Data s Nodes 31
  • 32. Wagner BianchiÉ especialista em MySQL e outros servidores de bancos de dadosrelacionais como Oracle e SQL Server. Formado em Gerenciamento deBancos de Dados, com MBA em Administração de Empresas pelaFundação Getúlio Vargas e Pós-Graduando em Bancos de Dados pelaUniversidade Gama Filho do Distrito Federal, possui váriascertificações, entre elas a SCMA, SCMDEV, SCMDBA e SCMCDBA.Atualmente é Consultor Sênior em bancos de dados pelaWAGNERBIANCHI.COM. 32