1. Copyright © 2013, Oracle and/or its affiliates. All rights reserved.1

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Suas aplicações precisam…
...acessar várias vezes o
banco de dados?
... armazenar dados em
cache?

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Integre um grid de dados
em memória em sua
arquitetura
Fernando Galdino
Fusion Middleware Solution Specialist
Weblogic, SOA, BPM, ….
fernando.galdino@oracle.com

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• Desde 2009 – ORACLE
• Antes: Ericsson, IBM, Banco JPMorgan,
Fundação CPqD e outras
• Mestrado Em Administração De Empresas –
Gestão De Projetos Pela Uninove
• Especialização em Administração De Empresas
pela FGV
• Ciência da Computação pela UNICAMP
Fernando Galdino

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Agenda  Introdução
 Adoção na arquitetura
 Como usar?

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Introdução

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Por quê um grid de dados em memória?
No início as aplicações eram simples.

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Por quê um grid de dados em memória?
Escalar conforme a demanda e capacidade

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Por quê um grid de dados em memória?
Alta latência, começamos a criar caches locais

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Por quê um grid de dados em memória?
Da inconsistência para uma estrutura confiável e sincronizada

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Por quê um grid de dados em memória?
O cache distribuído tinha que ser confiável

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O que é Oracle Coherence?
 Uma biblioteca de desenvolvimento de software
– Funcionalidade de cache e grid de dados para desenvolvedores;
– Tecnologia de clusterização;
– Estruturas de dados distribuídas
 Para Java
 Para .Net
 Para C++
 REST clients

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Application
Servers
Web
Servers
Data Demand
Universo crescente
de usuários
Data Supply
Data Sources
Java Objects

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Usos de um grid de dados
Caching
Analytics
Transactions
Events

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Adoção na arquitetura

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Como os desenvolvedores usam o Coherence?
 Step 1. Incluir coherence.jar no classpath
 Step 2. Fazer chamadas para a API do Coherence na aplicação
 Step 3. Empacotar coherence.jar com a aplicação
 Step 4. Instalar a Aplicação
(tantas vezes quanto necessário para atender a demanda)

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Como usar grid de dados em memória
na sua Arquitetura?

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Casos de Uso Técnicos
Seamless Consolidation
DB off-Load
Mainframe off-Load
“Always On” Information
Web Scale Out
1
2
3
4
5
REDUÇÃO DE CUSTOS
Cross-App User Session
Cross-Page Form Data
Query Results Pagination
User Profiles
Large context data
Object Interoperability
EXPERIÊNCIA USR.
Enhanced Data Mapping
Data Grid Power on SOA
Geo replication
Real Time System
State machine
Complex Event Process
ESCALABILIDADE
6
7
8
9
10
11
12
13
14
15
16
17

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REDUZIR CUSTOS
Seamless Consolidation
Offload Costly Back-End Data Sources: DB off-Load
Offload Costly Back-End Data Sources: Mainframe off-Load
“Always On” Information
Web Scale Out
1
2
3
4
5

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1. Seamless Consolidation
Data Grid
Application
Server Cluster
with multiple
JVMs / Managed
Application
Server Cluster
with less
members and
data grid cluster
connected

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2. DB Offload
Data Grid

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3. Mainframe Offload
Data GridWorkers
Mainframe / Back End

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4. “Always On” Information
Data Grid
In-Flight
Data
Production Servers

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5. Web App Scale Out
Data Grid
Application
Servers
Back End
Systems

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APRIMORAR EXPERIÊNCIA DO USUÁRIO
Cross-Application User Sessions
Cross-Page Form Data
Query Results Pagination
User Profiles
Large context data
Object Interoperability
6
7
8
9
10
11

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6. Cross-Application User Sessions
Data
Grid
Web App1
Web App2
Web App2

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7. Cross-Page Form Data
OnLine Form
Next
OnLine Form
Done
OnLine Form
Next
Data Grid

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8. Query Results Pagination
Query Results
Data
Grid

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9. User Profiles
Data Grid
Catalog App
Orders App
Billing App
User: John Smith
Address: 424 Shady Lane
Phone: 732-871-4882
Orders:
Bills:
Order 123
Order 456
Bill 329

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Reservation
System
Membership
Program
Application
Customer
DB
Ad ServerVideo/media
Server
Partner
Applications
Campaign
Analytics
10. Large Context Data

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11. Object Interoperability
Data Grid

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ESCALABILIDADE EXTREMA
Enhanced Data Mapping
Data Grid Power on SOA
Geo replication
Real Time System
State machine
Complex Event Processing
12
13
14
15
16
17

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Data
Grid
12. Enhanced Data Mapping
JPA

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13. Data Grid power on SOA
Data Grid
Cust
om
Tuxe
do
FTP
File
SMT
P
Oracle Service Bus
Web
Servi
ces
JMS
MQ
EJB/
RMI

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14. Geo Replication
Data Grid Data Grid

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15. Real Time Systems
Assurance
Dashboard
CRM
Billing
Oracle Data
Integrator
Rule
Authoring
Data Grid

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16. State Machine
Data Grid
……………………
Back End
Network status
Rules & Decisions
Information
Telemetry
Real Time Devices

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17. Complex Event Processing
Data Grid
Oracle CEP
Consolidated
& in-context
Data

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CASOS DE USO DE NEGÓCIO
Trading Exchange
Next Generation of OSS/BSS (Telco)
Payment Gateway
Risk Calculations
18
19
20
21
Outras possibilidades…

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18. Trading exchange
Mainframe / Back EndData Grid
Batch to Load Data
Oracle Data
Integrator
Exchange
Application

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19. Next Generation OSS/BSS Network DomainIT Domain
IN
HLR
Black
List
Voice
Mail
IMS
DLSAM
BNG
Self Care
IVR
CRM
Billing, CRM,
ERP, MDM
Network
Events
Middleware
Data
Integration
Provisioning
Customer-Facing
Data Grid
Real Time Billing
Fraud Detection
System Assurance
Benefits
• Performance: data is always up to date on the
Grid
• Reliable and always Available
• Reduce access to network elements
• Compute intensive operations running in real time
on the Grid
• Scale dynamically on the fly

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20. Payment Gateway
Data Grid
Cust
om
Tuxe
do
FTP
File
SMT
P
Oracle Service Bus
Web
Servi
ces
JMS
MQ
EJB/
RMI
WIRE
EFT
SWIFT
ACH

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21. Risk Calculations
Mainframe / Back EndData Grid
Batch to Load Data
Oracle Data
Integrator
Risk Analysis
Dashboard

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Como usar?

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Usando o Oracle Coherence
get, put, size & remove
NamedCache nc = CacheFactory.getCache(“mine”);
Object previous = nc.put(“key”, “hello world”);
Object current = nc.get(“key”);
int size = nc.size();
Object value = nc.remove(“key”);

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Usando o Oracle Coherence
Realizando pesquisas
NamedCache nc = CacheFactory.getCache(“people”);
Set keys = nc.keySet(
new LikeFilter(“getLastName”,
“%Stone%”));
Set entries = nc.entrySet(
new EqualsFilter(“getAge”,
35));

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Usar um grid de dados em memória
é FÁCIL e traz
GANHOS significativos
para sua
APLICAÇÃO
e para
ARQUITETURA

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Join the Coherence Community
http://coherence.oracle.com
@OracleCoherence
facebook.com/OracleCoherence
blogs.oracle.com/OracleCoherence
Oracle Coherence Users
youtube.com/OracleCoherence
coherence.oracle.com/display/CSIG
Coherence Special Interest Group

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