spring meetup paris - getting distributed with hazelcast and spring

SPRINGMEETUPPARIS

#13

* les proportions ne sont pas respectées :)

GETTING

DISTRIBUTED

WITH

AND

“Who comes for the 1st time to Spring Meetup Paris?”

Spring Meetup Paris

Spring Meetup ParisFOR

DUMMIES

Spring Meetup Paris

Technical and Community-driven User

Group

Organized by an army of 3 people

spring-meetup-paris.github.io

http://spring-meetup-paris.github.io/

Spring Meetup Paris

“A meetup about a DI Framework?

Really?”

Spring Meetup Paris

Welcome to 2015!

Spring Meetup Paris

We also talk about

Spring Meetup Paris

And even more...

...

Spring Meetup Paris

And sometimes about alternatives

DAGGER 2

functional programming

Spring Meetup Paris

WE WANT YOU

… to submit a talk !

❏ your usecases

❏ your library/framework

Format : EN/FR | 15/30/45 min.

Spring Meetup Paris

Emrah Kocaman | @emrahkocaman

What is Hazelcast?Hazelcast DemoHazelcast Data DistributionDistributed Caching with SpringAdditional UtilitiesQ/A Session

Agenda

what is ?

“Hazelcast is In-Memory Data Grid (IMDG) Solution”

010011010101010

In Memory Data Computing

In Memory Data Messaging + + In Memory

Data Storage

an open-source project

an open-source projectleading open-source in-memory

data grid.Apache 2 Licensedead simple distributed programminglightweight w/o any dependencybuilt with in Istanbul

Hazelcast Inc.Hazelcast EnterpriseSupport ContractsTraining / ConsultingOffices in Istanbul & Ankara (Engineering) , Palo Alto(HQ+Sales) and London(Sales)

What are the main features of Hazelcast?

• Scalability


• Scalability

• Speed


Reference : https://gist.github.com/hellerbarde/2843375

https://gist.github.com/hellerbarde/2843375

Reference : http://www.statisticbrain.com/average-historic-price-of-ram/

• Scalability

• Speed

• Simplicity


import java.util.Map; import java.util.HashMap;

Map map = new HashMap();map.put(“1”, “spring”); map.get(“1”);

java.util.Map

import java.util.Map;import java.util.concurrent.*;

Map map = new ConcurrentHashMap();map.put(“1”, “spring”);map.get(“1”);

java.util.concurrent.ConcurrentMap

// Creating a new Hazelcast nodeHazelcastInstance hz = Hazelcast.newHazelcastInstance();

// Getting a MapMap map = hz.getMap(“cities”);

// put a valuemap.put(“1”,”istanbul”);

Hazelcast Node 1

// Creating a new Hazelcast nodeHazelcastInstance hz = Hazelcast.newHazelcastInstance();

// Getting a MapMap map = hz.getMap(“cities”);

// get a valuemap.get(“1”);

Hazelcast Node 2

DEMO TIME

<backup-count>1</backup-count>

max backup count is 6

Backups increase memory usage since they are also kept in memory.

Data Backup

© 2015 Hazelcast Inc. Confidential & Proprietary

Rebalance Data on New Node

44


Distributed Maps

Fixed number of partitions (default 271)Each key falls into a partitionpartitionId = hash(keyData)%PARTITION_COUNTPartition ownerships are reassigned upon membership change

A B C


New Node Added

DA B C


Migration

DA B C


Migration Complete

DA B C


Data Safety when Node Dies

54


Node Crashes

DA B C

Crash


Backups Are Restored

DA B C

Crash


Recovery Is Complete

DA C

Client/Server Architecture

Embedded Architecture

Deployment Options

Great for early stages of rapid application development and iteration

Necessary for scale up or scale out deployments – decouples upgrading of clients and cluster for long term TCO

Embedded Hazelcast

Hazelcast Node 1

Applications

Java API

Client-Server Mode

Hazelcast Node 3

Java API

Applications

Java API

Applications

Java API

Applications

Hazelcast Node 2

Hazelcast Node 1

Hazelcast Node 2

Applications

Java API

Hazelcast Node 3

Applications

Java API

Deployment Options

DEMO TIME (AGAIN)

Multicast (default)

TCP/IP

AWS

Networking Options

Programmatic

XML Configuration

Configuration Options

XML Configuration

Distributed Caching Features

Spring Cache ProviderSpring JCache ProviderHibernate 2nd Level Cache

Spring Cache ProviderDeclarative Way

Spring Cache ProviderProgrammatic Way

Spring JCache Provider

DEMO TIME (AGAIN )2

Hibernate 2nd Level Cache

@SpringAware Annotation

Thank you ! :)

[email protected]://groups.google.com/forum/#!forum/hazelcast

any questions ?

mailto:[email protected]?subject=

https://groups.google.com/forum/#!forum/hazelcast

https://groups.google.com/forum/#!forum/hazelcast

spring meetup paris - getting distributed with hazelcast and spring

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