Introduction to the leading in-memory data grid solution Hazelcast

1. THE LEADING IMDG SOLUTION EXPLAINED
HAZELCAST 101

2. About Me
EMRAH KOCAMAN
@emrahkocaman
https://github.com/emrahkocaman
emrahkocaman@gmail.com
!
• Oracle Certified Professional Java Programmer
• 6+ years of Professional Java development
• Was working on enterprise Java technologies
• Software Developer at Hazelcast (since July 2014)

3. Before we begin

4. Agenda
• What is IMDG?
• What is Hazelcast?
• Configuring Hazelcast
• Distributed World of Hazelcast
• Hazelcast - Spring Framework Integration
• Management Center

5. What’s IMDG?
IN-MEMORY DATA GRIDS
Provide virtually unlimited processing power and
memory as additional cluster members are added
Expand in real time and dynamically to meet
increasing requirements
Increase capacity in a linear and predictable
manner
Leverage commodity or integrated systems that
are easily added without complexity

6. What is Hazelcast?
• The leading In Memory Data Grid
• Highly Available Elastic Cache
• 4.2 MBytes JAR
• Distributed Execution Platform
• Embedded or Client Server
• Cloud Ready
• Open Source - Apache License 2.0

7. Distributed Data-structures
• IAtomicLong
• IdGenerator
• Lock
• CountDownLatch
• Semaphore
• Queue
• Map
• MultiMap
• Set
• List
• Topic
• Executor
• Write your own!

8. Who uses Hazelcast?

9. Use Cases

10. Raspberry Pi Cluster

11. Use Cases
• Scale your application
• Data sharing
• Distributed Caching
• HTTP Session Replication
• Hibernate 2nd Level Cache
• Parallel Execution
• Map-Reduce
• Spring Cache Provider

12. Features
• Java Collection API
• MultiMap
• Topic
• Java Concurrency API
• Lock, Semaphore, CountDownLatch, ExecutorService
• Transactions
• Custom Serialization
• Off-Heap Support
• Native Clients: C#, C++, Java, REST, memcached

13. CONFIGURING &
FORMING A CLUSTER

14. Forming A Cluster
• Hazelcast Clusters run on JVM
• Hazelcast discovers other instances via Multicast
(Default)
• Use TCP/IP lists when Multicast not possible
• Segregate Clusters on same network via configuration
• Hazelcast can form clusters on Amazon EC2.

15. Configuration
• Hazelcast searches for hazelcast.xml on class path
• Will use hazelcast-default.xml for everything else.
• Hazelcast can be configured via XML,API or Spring
• Configure Networks, Data Structures, Indexes, EC2
• Config is locked at start-up, cannot dynamically change (feature
coming soon)

16. Start Your First Nodes

17. How Hazelcast Works
1 / 2
• Multiple Partitions Per Node
• Consistent Hashing: hash(key) % partition count
• Option to control partitioning
• Possibility to find key owner for every key
• Support for Near-Caching and executions on key
owner
• Automatic Fault-Tolerance
• Sync / Async Backups
• Configurable Backup Counts

18. How Hazelcast Works
2 / 3
New Node
Re-balance

19. How Hazelcast Works
3 / 3
A node crashes Backups restored
Backup for recovered data Recover from backup

20. Distributed Map

21. Distributed Queue

22. Distributed Topic

23. Distributed Events

24. Distributed Lock

25. Executor Service
1 / 2

26. Executor Service
2 / 2

27. Spring Integration
• Supports Spring 2.5+
• Hazelcast Namespace
• Spring Cache Provider
• Spring Data Integration (on the way)

28. Spring Integration
BASIC BEAN DECLARATION

29. Spring Integration
HAZELCAST NAMESPACE

30. Spring Integration
HAZELCAST NAMESPACE

31. Spring Cache
DECLARATIVE CONFIGURATION

32. Spring Cache
ANNOTATION BASED CONFIGURATION

33. “Management is, above all, a practice where art,
science, and craft meet”
–HENRY MINTZBERG

34. Q & A
THANK YOU
@emrahkocaman, @hazelcast
emrah@hazelcast.com
hazelcast@googlegroups.com
http://www.hazelcast.com
http://github.com/hazelcast/hazelcast