Contents

List of Examples

List of Figures

List of Tables

Title and Copyright Information

Preface

• Audience
• Documentation Accessibility
• Related Documents
• Conventions

1 Defining a Data Grid

2 Provide a Data Grid

• Targeted Execution
• Parallel Execution
• Query-Based Execution
• Data-Grid-Wide Execution
• Agents for Targeted, Parallel and Query-Based Execution
• Data Grid Aggregation
• Node-Based Execution
• Work Manager
  • Oracle Coherence Work Manager: Feedback from a Major Financial Institution

3 Provide a Queryable Data Fabric

• Data Fabric
• EIS and Database Integration
• Queryable
• Continuous Query

4 Clustering in Coherence

5 Network Protocols

• Coherence and the TCMP Protocol
• Protocol Reliability
• Protocol Resource Utilization
• Protocol Tunability
• Multicast Scope
• Disabling Multicast

6 Cluster Your Objects and Data

• Coherence and Clustered Data
• Availability
  • Supporting Redundancy in Java Applications
  • Enabling Dynamic Cluster Membership
  • Exposing Knowledge of Server Failure
  • Eliminating Other Single Points Of Failure (SPOFs)
  • Providing Support for Disaster Recovery (DR) and Contingency Planning
• Reliability
• Scalability
  • Distributed Caching
  • Partitioning
  • Session Management
• Performance
  • Replication
  • Near Caching
  • Write-Behind, Write-Coalescing and Write-Batching
• Serviceability
• Manageability

7 Cluster Services Overview

8 Partitioned Cache Service

9 Replicated Cache Service

10 Local Cache

• Configuring the Local Cache

11 Near Cache

• Near Cache Invalidation Strategies
• Configuring the Near Cache
• Obtaining a Near Cache Reference
• Cleaning Up Resources Associated with a Near Cache
• Sample Near Cache Configuration

12 Read-Through, Write-Through, Write-Behind, and Refresh-Ahead Caching

• Pluggable Cache Store
• Read-Through Caching
• Write-Through Caching
• Write-Behind Caching
• Write-Behind Requirements
• Refresh-Ahead Caching
• Selecting a Cache Strategy
  • Read-Through/Write-Through versus Cache-Aside
  • Refresh-Ahead versus Read-Through
  • Write-Behind versus Write-Through
• Idempotency
• Write-Through Limitations
• Cache Queries
• Creating a CacheStore Implementation
• Plugging in a CacheStore Implementation
• Implementation Considerations
  • Re-entrant Calls
  • Cache Server Classpath
  • CacheStore Collection Operations
  • Connection Pools

13 Managing an Object Model

• Cache Usage Paradigms
• Techniques to Manage the Object Model
• Domain Model
  • Best Practices for Data Access Objects in Coherence
• Service Layer
  • Automatic Transaction Management
  • Explicit Transaction Management
  • Optimized Transaction Processing
• Managing Collections of Child Objects
  • Shared Child Objects
  • Owned Child Objects
  • Bottom-Up Management of Child Objects
  • Bi-Directional Management of Child Objects
• Colocating Owned Objects
  • Denormalization
  • Affinity
• Managing Shared Objects
• Refactoring Existing DAOs

14 Storage and Backing Map

• Cache Layers
• Operations
• Capacity Planning
• Partitioned Backing Maps

15 Local Storage

16 The Portable Object Format

• Overview
• Why Should I Use POF
• Working with POF
  • Implementing the PortableObject interface
  • Implementing the PofSerializer interface:
  • Assigning POF indexes
  • The ConfigurablePofContext
  • Configuring Coherence to use the ConfigurablePofContext
• Summary

17 Coherence*Extend

• Types of Clients
• Proxy Service Overview

18 Real Time Client—RTC

• Uses
• Cache Access
• Local Caches
• Event Notification
• Agent Invocation
• Connection Failover

19 Session Management for Clustered Applications

• Basic Terminology
• Sharing Data in a Clustered Environment
• Reliability and Availability
• Scalability and Performance
• Conclusion

20 The Coherence Ecosystem

• Breakdown of Coherence editions
• Coherence Client and Server Connections
• Coherence Modules Involved in Connecting Client and Server Editions
  • How a Single Coherence Client Process Connects to a Single Coherence Server
  • Considering Multiple Clients and Servers

Glossary