How to Speed up your Database

© 2014 Hazelcast Inc.

How to speed up your Database.

DAVID BRIMLEYSENIOR SOLUTIONS ARCHITECT


About me

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"Senior Solutions Architect for Hazelcast.

Oracle Coherence @ HSBC 2007-2010 Gemfire @ Nomura 2010 - 2013

Worked for Major Investment Banks in the City of London.

Java Programmer since 1998.

David Brimley @dbrimley


Agenda - 40 Minutes + Q&A time.

• Introduction to Hazelcast.

• The Slow Database problem.

• Adding Hazelcast for faster queries.

• And doing the same for inserts and updates.

• Q&A

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Introduction to Hazelcast

• Hazelcast the Open Source Projectwww.hazelcast.org""

• Hazelcast the Companywww.hazelcast.com

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http://www.hazelcast.org

http://www.hazelcast.com


The Slow Database Problem

• Traditional Databases are hard to scale.

• They cost a lot in time and effort.

• Common solution is a Cache.""

• IMDG like Hazelcast give horizontal scalability.

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The Hazelcast Approach

• Cluster of JVM that all contribute memory.

• Client API can work against Maps.

• Query using Predicates or SQL like strings.""

• Faster Reads using the Cache.

• Faster Update/Inserts using write-behind.

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The Test Suite

• Postgres 9.3.4 installed on a Macbook Pro Dual Core with 16gb RAM and 256gb SSD.

• Dataset : Stackoverflow Public Dump (47gb)

• Hazelcast 3.2

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© 2014 Hazelcast Inc.© 2014 Hazelcast Inc.© 2014 Hazelcast Inc.

The Simple Postgres Java DAO

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Step 1 : Configure the Hazelcast Distributed Map."A) MapStore for connecting Hazelcast to the Database."B) Configure Indexes for faster In Memory Query of Map."

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Integrating Hazelcast in 4 steps

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" <map name="user"> <map-store enabled="true"> <class-name>com.craftedbytes.hazelcast.dao.UserMapStore</class-name> <write-delay-seconds>30</write-delay-seconds> </map-store> <indexes> <index ordered="true">location</index> </indexes> </map>

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Step 2 : Code your MapStore implementation"

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"public class UserMapStore implements MapStore<Integer, User> { " private UserDAO userDao = new UserDAO(); " private UserMapStore() {} " @Override public void store(Integer userKey, User user) { userDao.insertUser(user); } @Override public User load(Integer userKey) { return userDao.getUser(userKey); } " @Override public Map<Integer, User> loadAll(Collection<Integer> userKeys) { return userDao.loadAll(userKeys); } "



Step 3 : Query against a Java Map !"

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" @Override public Collection<User> getUserByLocation(String location){ return userMap.values(Predicates.equal("location", location)); } " @Override public User getUser(Integer userKey) { return userMap.get(userKey); } " @Override public void removeUser(Integer userKey) { userMap.evict(userKey); } " @Override public void addUsers(Map<Integer,User> users) { userMap.putAll(users); } ""



Step 4 : Start your cluster !

Hazelcast will prime from Database using the loadAllKeys method from your MapStore.""No changes were required to the Database.

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Hazelcast for faster reads

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Hazelcast will read through to Database

• If you only load a subset of data from your whole set.

• Hazelcast will use the MapStore to read to the Database to cache a Map Entry on a Cache Miss.

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Hazelcast read-through to DB

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Hazelcast can make updates faster as well

• A Map put can be async to the Database.

• Write behind stores records and writes to DB after delay.

• The User doesn’t have to wait for the DB to complete, once entry hits cache the transaction is complete.

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Hazelcast write-behind to DB

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Q&A

ANY QUESTIONS?

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Date post:	11-May-2015
Category:	Software
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How to Speed up your Database

Software