Giga Spaces Data Grid / Data Caching Overview

GigaSpaces Data Caching / Data Grid overview August 2009

Scaling Up Your Database by Adding a Data Grid ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Benefits of using GigaSpaces as the system of record ,[object Object],[object Object],[object Object],[object Object]

IMDG Access support ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Step 2: Access data via IMDG SQL Queries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The IMDG – Runtime Modes – Embedded ,[object Object],[object Object],[object Object],[object Object],C++

The IMDG – Runtime Modes – Remote ,[object Object],[object Object],[object Object],[object Object],C++ C++

The IMDG – Runtime Modes – Master-Local Cache ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The IMDG – Runtime Modes – Master-Local View ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The IMDG – Runtime Modes – Persistent ,[object Object],Can use custom Mapping or built in Hibernate/nHibernate plug-in

Asynchronous Reliable Persistency - Write Behind ,[object Object],[object Object],[object Object],[object Object],Hibernate Hibernate Feeder

The Initial Load – Fast Data load from the Database

[object Object],[object Object]

IMDG Basic Deployment Topologies ,[object Object],Partitioned Feeder Feeder Partitioned + Backup Feeder

What is Space Based Architecture (SBA) Space-Based Architecture ( SBA ) is a software architecture pattern for achieving linear scalability of stateful, high-performance applications, based on Yale’s Tuple-Space Model (Source Wikipedia) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Move into SBA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Space Based Architecture – Business logic and data collocated Pushing data into the backend system In-Memory-Data-Grid and collocated Processing units Collects results / reporting Service Primary 1 Primary 2 Primary 3 Backup 3 Backup 2 Backup 1 Replication Replication Replication

Map-Reduce Approach to perform Parallel Query ,[object Object],[object Object]

Map-Reduce Approach to perform Parallel Query ,[object Object],[object Object],[object Object]

Distributed Task Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AsyncFuture<Long> future = gigaSpace.execute(new MyDistTask()); long result = future.get(); // result will be the number of primary spaces The Task Reducer Implementation– Run at the client Side The Task execution – Called from the Client side The Task execute Implementation – Run at the Space Side

Space Based Architecture Fundamentals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Partitioned Data Grid Partitioned Data Grid with Backup Feeder Integrating with existing database

Using SBA to Virtualize the Middleware = GigaSpaces XAP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The Service Grid ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],An automated, SLA-based application provisioning & management engine

Typical Web Application Architecture Dynamic LB Configuration Managed Jetty Web Containers, Http Session on top of the Space Business Logic and Data on top of the Data Grid Interact with BL and Data via Space API, events, remoting or task executors Partitioning and collocation for best performance and scalability Async. Persistency Proactive Administration

Giga Spaces Data Grid / Data Caching Overview

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