Uma breve apresentação sobre o MySQL Cloud Service e Visão do futuro do MySQL (com links para demonstrações).

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Oracle MySQL Cloud Service
Airton Lastori
airton.lastori@oracle.com
Nov-2016

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MySQL presente na transformação digital
Viabilizando Inovação com Agilidade
2

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http://db-engines.com/en/ranking_trend (mar-2016)

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Desenvolvida e mantida por quem entende do mundo Enterprise
Foco em segurança e menor lock-in
Fácil de começar a usar. Teste gratuitamente em cloud.oracle.com

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MySQL Enterprise Edition
Escalabilidade
Autenticação
Firewall
Auditoria
novo TDE
Criptografia
MySQL Enterprise Monitor
Oracle EM for MySQL
Plug-ins
Suporte
Hot
Backup
Monitor &
Workbench

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+
MySQL Enterprise Edition

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• Simples & Automatizado
• Integrado
• Oracle Premier Support
• Enterprise Backup, Monitor, Security
7
Novo! MySQL Cloud Service

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Demonstração
https://attendee.gotowebinar.com/register/878993943353911782
8

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Visão
11

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Scale-Out
Ease-of-Use
Out-of-Box
Solution
MySQL

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Read Scale-Out
Async Replication + Auto Failover
Write Scale-Out
Sharding
S1
S2
S3
S4
MySQL Vision – 4 Steps
Timeline
MySQL Document Store
Relational & Document Model
MySQL HA
Out-Of-Box HA

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Read Scale-Out
Async Replication + Auto Failover
Write Scale-Out
Sharding
S1
S2
S3
S4
MySQL Vision – S1
Timeline
MySQL Document Store
Relational & Document Model
MySQL HA
Out-Of-Box HA

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http://db-engines.com/en/ranking_categories
183NoSQL
12categorias

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Usa MySQL como NoSQL
eng.uber.com/schemaless-part-one

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Usa MySQL como NoSQL
eng.uber.com/schemaless-part-one

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Exemplo CRUD Document API
MySQL 5.7.12+

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Banco de Dados Híbrido: Confiabilidade + Flexibilidade
MySQL 5.7
JSON Support
MySQL
Document
Store
RDBMS
Proven, transactional, secure
Complex JOINs and queries
Extensive operational tools
NoSQL Solutions
Flexible. Easy-to-use.
Schema-less document storage
Modern Applications
Agile DevOps with robust
data protection & security
Hybrid Database
No trade-offs, best of both
worlds. ACID properties &
reliability of RDMS + flexible
document management

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Exemplo Modelo híbrido: Schema + Schemaless
27
mysql> CREATE DATABASE product_hybrid_test;
mysql> USE product_hybrid_test;
mysql> CREATE TABLE product_info_hybrid (
product_id INT NOT NULL PRIMARY KEY,
description VARCHAR(60) NOT NULL,
price FLOAT NOT NULL,
attributes JSON NOT NULL
);

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Exemplo CRUD modelo híbrido
MySQL 5.7.12+

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CREATE 1
mysql> INSERT INTO product_info_hybrid VALUES (
9,
't-shirt',
20.0,
'{
"size" : "M",
"color" : "red",
"fabric" : "cotton"
}');
Query OK, 1 row affected (0.01 sec)
29

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CREATE 2
mysql> INSERT INTO product_info_hybrid VALUES (
10,
'socks',
15.0,
'{
"size" : "40"
}');
Query OK, 1 row affected (0.01 sec)
30

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READ
mysql> SELECT * FROM product_info_hybrid;
+------------+-------------+-------+---------------------------------------------------+
| product_id | description | price | attributes |
+------------+-------------+-------+---------------------------------------------------+
| 9 | t-shirt | 20 | {"size": "M", "color": "red", "fabric": "cotton"} |
| 10 | socks | 15 | {"size": "40"} |
+------------+-------------+-------+---------------------------------------------------+
2 rows in set (0.00 sec)
31

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READ com filtro
mysql> SELECT * FROM product_info_hybrid WHERE attributes->"$.size"="40";
+------------+-------------+-------+----------------+
| product_id | description | price | attributes |
+------------+-------------+-------+----------------+
| 10 | socks | 15 | {"size": "40"} |
+------------+-------------+-------+----------------+
1 row in set (0.00 sec)
32

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UPDATE
mysql> UPDATE product_info_hybrid SET attributes = '{"size": "42"}' WHERE
product_id=10;
Query OK, 1 row affected (0.00 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> SELECT * FROM product_info_hybrid;
+------------+-------------+-------+---------------------------------------------------+
| product_id | description | price | attributes |
+------------+-------------+-------+---------------------------------------------------+
| 9 | t-shirt | 20 | {"size": "M", "color": "red", "fabric": "cotton"} |
| 10 | socks | 15 | {"size": "42"} |
+------------+-------------+-------+---------------------------------------------------+
2 rows in set (0.00 sec)
33

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DELETE
mysql> DELETE FROM product_info_hybrid WHERE attributes->"$.size"="42";
Query OK, 1 row affected (0.01 sec)
mysql> SELECT * FROM product_info_hybrid;
+------------+-------------+-------+---------------------------------------------------+
| product_id | description | price | attributes |
+------------+-------------+-------+---------------------------------------------------+
| 9 | t-shirt | 20 | {"size": "M", "color": "red", "fabric": "cotton"} |
+------------+-------------+-------+---------------------------------------------------+
1 row in set (0.00 sec)
34

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Coluna
• Mais integridade no schema,
independente da aplicação
• Schema torna a aplicação mais fácil de
manter no longo prazo, pois há maior
controle nas mudanças
– Espera-se uma maior qualidade dos dados
– Permite aplicação de algumas validações
automáticas sobre os dados
JSON
• Mais liberdade para representar dados
(ex. Campos custom)
• Denormalização natural, registro auto-
contido (ex. facilita escalabilidade
horizontal via sharding)
• Protótipos rápidos, comece armazenar
dados imediatamente
• Menor preocupação na definição de
Tipos de Dados
• Menos dor-de-cabeça para aplicar
mudanças no modelo de dados
Oracle Confidential – Internal/Restricted/Highly Restricted 35
Coluna ou JSON? Você escolhe!

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Read Scale-Out
Async Replication + Auto Failover
Write Scale-Out
Sharding
S1
S2
S3
S4
MySQL Vision – S1
Timeline
MySQL Document Store
Relational & Document Model
MySQL HA
Out-Of-Box HA

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Read Scale-Out
Async Replication + Auto Failover
Write Scale-Out
Sharding
S1
S2
S3
S4
MySQL Vision – S2
Timeline
MySQL Document Store
Relational & Document Model
MySQL HA
Out-Of-Box HA

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MySQL Connector
Application
MySQL Connector
Application
MySQL Shell
MySQL Connector
Application
MySQL Connector
Application
MySQL InnoDB Cluster – Architecture – S2
MySQL
InnoDB
cluster
MySQL Enterprise Monitor
…

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MySQL
InnoDB
cluster
MySQL InnoDB Cluster – Architecture – S2
M
M M
MySQL Connector
Application
MySQL Router
MySQL Connector
Application
MySQL Router
MySQL Shell
HA
Group Replication

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Demonstração
MySQL
InnoDB
cluster
youtube.com/embed/JWy7ZLXxtZ4

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Read Scale-Out
Async Replication + Auto Failover
Write Scale-Out
Sharding
S1
S2
S3
S4
MySQL Vision – S3
Timeline
MySQL Document Store
Relational & Document Model
MySQL HA
Out-Of-Box HA

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S1 S2 S3 S4 S…
M
M M
MySQL Connector
Application
MySQL Router
MySQL Connector
Application
MySQL Router
MySQL Shell
HA
MySQL InnoDB Cluster – Architecture - S3 MySQL
InnoDB
cluster
Read-Only Slaves

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Read Scale-Out
Async Replication + Auto Failover
Write Scale-Out
Sharding
S1
S2
S3
S4
MySQL Vision – 4 Steps
Timeline
MySQL Document Store
Relational & Document Model
MySQL HA
Out-Of-Box HA

43. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |
S1 S2 S3 S4 S…
M
M M
MySQL Connector
Application
MySQL Router
MySQL Connector
Application
MySQL Router
MySQL Shell
HA
ReplicaSet(Shard1)
S1 S2 S3 S4 S…
M
M M
MySQL Connector
Application
MySQL Router
HA
ReplicaSet(Shard2)
S1 S2 S3
M
M M
H
ReplicaSet(Shard3)
MySQL Connector
Application
MySQL Router
MySQL InnoDB Cluster – Architecture - S4 MySQL
InnoDB
cluster
…

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Obrigado!
airton.lastori@oracle.com