Solutions and Best Practices Home

Added by Aleia Hutcherson, last edited by Shay Hassidim on Jan 23, 2012 (view change)

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This section contains GigaSpaces usage patterns, best practices and solutions. Each best practice is listed with the author/origin, and the GigaSpaces product version that it was tested against.

Data Access Patterns | Parallel Processing & Messaging Patterns | Setup Production Environment | Solutions

Data Access Patterns

Best Practice	Level	Description
Moving from Hibernate to Space	Beginner	Moving from Database Centric into In-Memory Model. Can be used when moving from J2EE Session Bean into XAP.
Finding Partition Load	Beginner	Monitoring Data Grid partitions in real time.
Even Data Distribution	Beginner	Technique to ensure even data load-balancing with partitioned IMDG.
Space Object Modeling	Beginner	Migrating Relational Model into Object model.
Excel that Scales Solution	Beginner	Leveraging GigaSpaces .Net API to scale Excel applications.
Global ID Generator	Beginner	Replacing Database sequencing with lightweight In-Memory ID Generator.
Web Service PU	Beginner	Web Service Processing Unit. Using the CXF Framework.
ODBC Driver	Beginner	Accessing GigaSpaces Data Grid via 3rd party ODBC Driver.
IMDG with Large Backend Database Support	Advanced	Leveraging IMDG running in LRU mode with large backend Database.
Custom Matching	Advanced	Implementing complex customized queries for pattern matching.
Custom Eviction	Advanced	Implementing used defined data eviction when using large backend Database.
Lowering the Space Object Footprint	Advanced	Implementing compaction API to reduce the object footprint when storing objects with large numeric values.
Rapid Data Load	Advanced	Loading large amount of data into each partition using Map-Reduce technique.
Schema Evolution	Advanced	Leveraging different techniques to enhance the application data model without IMDG downtime.
Cassandra Mirror Service	Advanced	Cassandra database GigaSpaces Mirror Service implementation. Used with BigData related systems.
NoSQL External DataStore	Beginner	MongoDB and Cassandra External Data Source with Mirror Service implementation.
Scala Integration	Beginner	Common Scala integration scenarios on top of XAP.

Parallel Processing & Messaging Patterns

Best Practice	Level	Description
Map-Reduce Pattern - Executors Example	Beginner	Implementing Task Executors and Service Executors to perform parallel queries or parallel processing across multiple IMDG partitions. Can be used when moving from J2EE EJB/RMI/IIOP into XAP.
Master-Worker Pattern	Beginner	Grid computing pattern. Implementing distributed processing across multiple workers deployed into the Grid.
Elastic Distributed Calculation Engine	Beginner	Elastic Distributed Calculation Engine implementation using Map-Reduce approach.
Event Driven Remoting Example	Beginner	Request-Response pattern. Implementing asynchronous remove service invocation. Can be used when moving from J2EE MDB into XAP.
Mule ESB Example	Advanced	Scaling ESB based application. Using the IMDG as the ESB state repository. Deploying the ESB into the GigaSpaces grid allowing it to scale in an elastic manner.
Priority Based Queue	Advanced	Messaging based pattern. Can be used when moving from J2EE JMS Quality of Service into XAP.
Parallel Queue Pattern	Advanced	Messaging based pattern. Can be used when moving from J2EE JMS Service Activator Aggregator Strategy/MDB into XAP.
Unit Of Work	Advanced	Messaging based pattern. Can be used when moving from J2EE JMS Unit of Order into XAP.
Drools Rule Engine Integration	Advanced	Scaling business rule management system based application.
Spring Batch PU	Advanced	Complex Batch Processing using Spring Batch.
JTA-XA Example	Advanced	Integrating GigaSpaces with an external JMS Server using XA. Atomikos is used as the JTA Transaction provider. Apache ActiveMQ is used as a the JMS provider.

Setup Production Environment

Best Practice	Level	Description
Universal Deployer	Beginner	Allows deploying composite applications. Support multiple processing unit dependency based deployment.
Data-Collocation Deployment Topology	Beginner	Considerations which topology to choose when deploying both business logic and data into the Grid.
Mirror Monitor	Beginner	Monitoring asynchronous persistency behavior in real time using JMX.
Clusters Over WAN	Beginner	Considerations when replicating data over the WAN.
WAN Replication Gateway	Beginner	Example for WAN replication implementation.
Primary-Backup Zone Controller	Beginner	Using Zones to control Data-Grid primary/backup instances location.
RESTful Admin API	Beginner	Using web services to monitor and administrate GigaSpaces.
JMX Space Statistics	Beginner	Using JMX to expose space statistics.
Space Dump and Reload	Beginner	Using the administration API to dump the space data into a file and reload it back.
Scaling Agent	Beginner	Using the administration API to scale web applications. Can be used when moving J2EE Web applications into XAP elastic Web Container.
Web Load Balancer Agent PU	Advanced	Using the administration API to build customized HTTP load-balancer agent. Can be used when moving J2EE Web applications into XAP elastic Web Container.
Moving into Production Checklist	Advanced	All what you need to review before moving your system into production.
Capacity Planning	Advanced	Considerations for sizing your system before moving into production.
Refreshable Business Logic Example	Advanced	Using the administration API to reload new application code (hot deploy) while the application is running.
Embedding XAP for OEMs	Beginner	A quick and simple example of how an OEM might embed GigaSpaces XAP for customer use.

Solutions

Best Practice	Level	Description
Trading Settlement	Advanced	A trading settlement system where the entire tier-based architecture is built on GigaSpaces.
Mainframe Integration	Advanced	GigaSpaces XAP can simplify the migration effort from mainframe based systems and reduce the cost of the legacy applications. GigaSpaces XAP act as a front-end layer for mainframe based systems may boost the system performance and improve the overall system response time on peak load.
Global Http Session Sharing	Advanced	Global Http Session Sharing allows transpaernt session replication between remote sites and sharing between different application servers in real-time.