Getting Started with Oracle Event Processing 11g

466 Pages·2013·19.95 MB·English

by  Alexandre Alves

Table of Contents
Getting Started with Oracle Event Processing 11g
Credits
About the Authors
About the Reviewers
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Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. An Overview of Complex Event Processing
What is event processing?
Relating this to a business in computing terms
Use case: A solution for customer problems
Key elements of event stream processing
An event
An event stream
An event type
Event Processing Network
Event processing languages and extensibility
Processor event node methodologies
Processor extensibility
Event processor "Intelligence Injection"
Holistic Event-Driven and Service Orientated Architectures
Predicting an event
Summary
2. An Overview of Oracle Event Processing
Understanding the heritage of Oracle Event Processing
The Java Event-Driven Server, the bits and bytes of the architecture
The adopted event language
CQL concepts
The philosophy and fundamentals of developing
Creating an Oracle Event Processing application
Some hints and tips
Controlling from the command line
Watching things happen and changing what happens
Summary
3. Adapting Events for OEP
Creating and converting events
Event type system
Platform adapters
The JMS adapter
The CSV adapter
HTTP pub-sub adapter
Configuring your own custom adapter
Leveraging OSGi services to create an adapter
Packaging custom adapters
Summary
4. Assembling and Configuring OEP Applications
Implementing the component model
Exploring the EPN extensions
Defining a simple Spring bean
Creating the event type repository
Setting up the adapters
Configuring channels
Implementing event-beans
Enabling the power of CQL processors
Defining a database table
Using caching
Understanding the application configuration
Adapter configuration
Channel configuration
Cache configuration
Defining resources in the server configuration
Extending the component type infrastructure
Summary
5. Coding with CQL
Introducing CQL
Understanding CQL fundamentals
Establishing your sources and destinations
Processing models
The structure and semantics of event processing
Restricting streams with Windows
Tuple-based windows
Partitioned windows
Output
Controlling output with slides
The unbounded window
The constant value range window
The NOW window and the Last Event window
SQL as a foundation
Joins
External sources
Aggregations
Ordering
Views
Set operations
Typing and expressions
Timing models
Summary
6. Managing and Monitoring Applications
Configuring the logging service
Provisioning applications
Changing application configuration
Managing server-wide configuration
Controlling concurrency with work managers
Accessing contextual data with data sources
Browsing metadata with the event type repository
Monitoring progress
Summary
7. Using Tables and Caches for Contextual Data
Setting up JDBC data sources
Enriching events using a database table
Setting up caching systems
Enriching events using a cache
Using caches as event sources and sinks
Implementing an event bean to access a cache
Monitoring Coherence in the Visualizer
Summary
8. Pattern Matching with CQL
Extending CQL with OEP cartridges
Blending CQL and Java
Class loading in CQL
Handling ambiguities between Java and CQL
Using the JavaBeans conventions in CQL
Processing XML with CQL
Handling XML document sources
Pattern matching
Partitioning events for matching
Patterns as regular expressions
Controlling the number of matches
Working with correlation groups
Expiring patterns
Summary
9. Implementing Performance Scaling, Concurrency, and High Availability
for Oracle Event Processing
Scalability versus high availability
Understanding performance and ways to influence
Scaling Oracle Event Processing
The threading model
Optimizing threading in channels
The EventPartitioner example
Using concurrency with processors
Partitioned versus pipelined parallelism
Improving performance with batching
General event processing, network performance tuning, and
memory sizing observations
High availability in Oracle Event Processing
Failure scenarios
A sample HA Event Processing application
High availability quality of services
Simple failover
Simple failover with buffering
Lightweight queue trimming
Precise recovery with JMS
The HA application
ActiveMQ server
The JMS Message Client
Running the HA solution sample
Studying the Visualizer tooling for HA implementation
Summary
10. Introducing Spatial: A Telemetric Use Case
Introduction to Oracle Spatial with Oracle Event Processing
Basic geospatial concepts and use cases
Geo-streaming
Geo-fencing
Bus tracking movement event patterns
The Oracle Spatial Data Cartridge
Oracle geospatial features
Tracking vehicles with an Oracle Event Processing application
Key application elements
Bus tracking EPN
BusSpatialProcessor
Bus tracking visual user interface
How to run this bus tracking sample application
Summary
11. Extending CQL with Spatial and JDBC
Creating geometries
Determining if geometries relate to each other
Configuring the spatial context
Retrieving external tables using SQL
Summary
12. Looking Ahead: The Future of Oracle Event Processing
Possible technology strategic directions
Evolving developer environments
Service-oriented Architecture integration
Event intelligence on the computing edge with Sensor integration
Event container platform manipulation profiles
The Embedded profile
Fast Data for Big Data
Fast data sample
Looking around the corner with predictive analytics
More on analytics
A Predicting Use Case
Understanding the "Fuzzy" results
Extending insurance solutions and JDBC data cartridge summary
Advancing performance with embedded hardware
The growing event processing standards
Summary
Index
Getting Started with Oracle Event
Processing 11g
Getting Started with Oracle Event
Processing 11g
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First published: March 2013
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