In this webinar How do you get data from your existing relational databases changed by third party applications into your Hazelcast maps? How do you accomplish this if you have several databases, located on different sites, that need to be aggregated into a global Hazelcast map? How is it possible to reflect data from a relational database that has ten thousand updates per second or more? Speedment’s SQL Reflector makes it possible to integrate your existing relational data with continuous updates of Hazelcast data-maps in real-time. In this webinar, we will show a couple of real-world cases where database applications are speeded up using Hazelcast maps fed by Speedment. We will also demonstrate how easily your existing database can be “reverse engineered” by the Speedment software that automatically creates efficient Java POJOs that can be used directly by Hazelcast. We’ll cover these topics: -Joint solution case studies -Demo -Live Q&A Presenter: Per-Åke Minborg, CTO at Speedment Per-Åke Minborg is founder and CTO at Speedment AB. He is a passionate Java developer, dedicated to OpenSource software and an expert in finding new ways of solving problems – the harder problem the better. As a result, he has 15+ US patent applications and invention disclosures. He has a deep understanding of in-memory databases, high-performance solutions, cloud technologies and concurrent programming. He has previously served as CTO and founder of Chilirec and the Phone Pages. Per-Åke has a M.Sc. in Electrical Engineering from Chalmers University of Technology and several years of studies in computer science and computer security at university and PhD level.

1. SPEEDUP YOUR EXISTING
RELATIONAL DATABASES Per-Åke Minborg
www.speedment.com

2. PROBLEM
• Long response times is the most common IT problem at work
• The amount of data is increasing every day

3. SOLUTIONS
New Ground
Application developer
HW supplier
DBA
Architect
Carpenter
Painter
Ground
Buy faster better
more HW -expensive
Optimize database –minor effect
Extreme performance –migration project

4. THE JAVA DEVELOPER BEHIND THE STEERING WHEEL!
• The hot new solution
• Fast to develop applications
• Extreme database speed

5. TECHNOLOGY EVOLUTION
• Memory size exponentially doubles each 18:th month
• The number of CPU-cores [N] is increasing moderately
• Performance per CPU-core [P(N)] is increasing moderately
• P = N*P(N) is increasing exponentially
• "Cloud" deployment is popular

6. Database
Hazelcast
Hazelcast Application
Hazelcast Application
Hazelcast Application
THE SHARED DATABASE CHALLENGE

7. Database
Hazelcast
Hazelcast Application3:rd Party Application
3:rd Party Application
3:rd Party Application
Hazelcast Application
Hazelcast Application
THE SHARED DATABASE CHALLENGE

8. Database
Speedment
Hazelcast
Hazelcast Application3:rd Party Application
3:rd Party Application
3:rd Party Application
Hazelcast Application
Hazelcast Application
THE SHARED DATABASE CHALLENGE

9. Database Speedment
Hazelcast
Node
Hazelcast
Node
Hazelcast
Node
Hazelcast
Node
INSERT
UPDATE
DELETE
OVERVIEW

10. JVM
SPEEDMENT TECHNOLOGY
MOV
CQRS
In-
Memory
Copy
Relational
Database

11. REFLECTS ALL DATA WITH HAZELCAST
Inserts
sql> insert into employees (emp_no, birth_date, first_name, last_name, gender, hire_date)
values (10001, '1953-09-02', 'Georgi', 'Facello', 'M', '1986-06-26');
10001 -> Employees { "emp_no": 10001, "birth_date": "1953-09-02", "first_name": "Georgi", "last_name":
"Facello", "gender": "M", "hire_date": "1986-06-26"}
Updates
sql> update employees set first_name="Georgi2" where emp_no=10001;
10001 -> Employees { "emp_no": 10001, "birth_date": "1953-09-02", "first_name": "Georgi2", "last_name":
"Facello", "gender": "M", "hire_date": "1986-06-26"}
Deletes
sql> delete from employees where emp_no = 10001;
10001 -> null

12. WORKS WITH TRANSACTIONS
SQL> START TRANSACTION;
update employees
set first_name="Duangkaew“
where emp_no=10010;
update salaries
set salary=salary+10
where id=12322;
COMMIT;
// Backing hazelcast maps are updated atomically
Employees emp = employeesMap.get("10001");
Salaries sal = salaryMap.get("12322");

13. HOW TO INSTALL
• Download software
• Unzip distribution file
• Start scripts in ”bin” directory

14. WORK FLOW
1. Database 2. Speedment GUI 3. IDE

15. GENERATED CODE
• Everything you will need including POJOs and serialization factories are generated
automatically.
• Just add 4 lines of code in your Hazelcast application and you are good to go.

16. DATABASE TABLE
mysql> describe employees;
+------------+---------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------+---------------+------+-----+---------+----------------+
| emp_no | int(11) | NO | PRI | NULL | auto_increment |
| birth_date | date | NO | | NULL | |
| first_name | varchar(14) | NO | | NULL | |
| last_name | varchar(16) | NO | | NULL | |
| gender | enum('M','F') | NO | | NULL | |
| hire_date | date | NO | | NULL | |
+------------+---------------+------+-----+---------+----------------+

17. POJO REPRESENTING A ROW
public class Employees extends Struct<Employees> implements
IdentifiedDataSerializable {
private Integer empNo;
private Date birthDate;
private String firstName;
private String lastName;
private String gender;
private Date hireDate;
// Accessors, serialization, deserialization, etc.

18. HOW DO YOU USE IT?
“Easy as 1, 2, 3...”

19. 1) CONNECT TO YOUR EXISTING SQL DB…

20. …AND IT IS AUTOMATICALLY ANALYZED

21. 2) PUSH PLAY

22. Work as you are used to, just add 4 lines of code in your startup class
Config hcConfig = new Config();
// Add optimized serialization Factories for Hazelcast that are generated automatically
SpeedmentHazelcastConfig.addTo(hcConfig);
HazelcastInstance hcInstance = Hazelcast.newHazelcastInstance(hcConfig);
// Tell Speedment what Hazelcast instance to use
ProjectManager.getInstance().putProperty(HazelcastInstance.class, hcInstance);
// Automatically build all Database metadata (e.g. Schema, Tables and Columns)
new TreeBuilder().build();
// Load selected data from the database into the Hazelcast maps and start tracking DB
ProjectManager.getInstance().init();
3) START CODING WITH HAZELCAST

23. MOBILE NETWORK OPERATOR
• Oracle database with:
• One active
• One hot standby
• One cool standby
• More than 100 GB data

24. MOBILE NETWORK OPERATOR
Oracle
Appl.
Server
Oracle
Oracle
Appl.
Server
Appl.
Server
Load
Sharer
Off-site
Users

25. MOBILE NETWORK OPERATOR
Hazelcast
Node
Hazelcast
Node
Hazelcast
Node
Hazelcast
Node
Speedment
Oracle
Oracle
Oracle
Off-site
Appl.
Server
Appl.
Server
Appl.
Server
Load
Sharer
Users
>100 times faster

26. SALES ORGANIZATION
• HQ in Sweden
• Local national offices in 8 other countries
• 3 to 25 shops in each country
• Most national offices have their own database
• Extract, Transform and Load (ETL)

27. DB
SALES ORGANIZATION
DB
DB
1
2
8
.
.
.
.
.
HQ
mail
mail
mail

28. MySQL
SALES ORGANIZATION
Speedment
HZ
HZ
HZ
HZ
MySQL
Postgress
1
2
8
.
.
.
.
.
Speedment
Speedment
MySQL Speedment
HQVPN
VPN
VPN
Improved Business intelligence

29. POWER GRID OPERATOR
• 1 200 transmission nodes
• 1 300 000 homes
• Reports meter status each hour
• Each report contains several measurements

30. Users
POWER GRID OPERATOR
DB
1,3 M meters
Grid
Internet Writer
x1000 TPS

31. DB
Users
1,3 M meters
POWER GRID OPERATOR
Grid
Internet Writer
Speedment
HZ
HZ
HZ
HZ
JSON
>100 times faster

32. THANKS!
• GitHub: https://github.com/speedment/speedment-orm
• Twitter: @Pminborg
• Mail: minborg@speedment.org
• Blog: minborgsjavapot.blogspot.com