Download as PDF, PPTX
![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](https://image.slidesharecdn.com/webinar20150305speedment2-150310010853-conversion-gate01/85/Speed-Up-Your-Existing-Relational-Databases-with-Hazelcast-and-Speedment-5-320.jpg)
Uploaded byHazelcast
Speed Up Your Existing Relational Databases with Hazelcast and Speedment
The document discusses strategies to enhance the performance of relational databases, particularly through the use of Speedment technology and Hazelcast for database optimization. It highlights the challenges posed by increasing data volume and response times while offering solutions such as in-memory processing and cloud deployment. Detailed examples of database operations alongside instructions for integration with existing systems are provided to facilitate application development.
More Related Content
Similar to Speed Up Your Existing Relational Databases with Hazelcast and Speedment
Speed Up Your Existing Relational Databases with Hazelcast and Speedment
- 1. SPEEDUP YOUR EXISTING RELATIONALDATABASES Per-Åke Minborg www.speedment.com
- 2. PROBLEM • Long responsetimes is the most common IT problem at work • The amount of data is increasing every day
- 3. SOLUTIONS New Ground Application developer HWsupplier DBA Architect Carpenter Painter Ground Buy faster better more HW -expensive Optimize database –minor effect Extreme performance –migration project
- 4. THE JAVA DEVELOPERBEHIND THE STEERING WHEEL! • The hot new solution • Fast to develop applications • Extreme database speed
- 5. TECHNOLOGY EVOLUTION • Memorysize 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 HazelcastApplication THE SHARED DATABASE CHALLENGE
- 7. Database Hazelcast Hazelcast Application3:rd PartyApplication 3:rd Party Application 3:rd Party Application Hazelcast Application Hazelcast Application THE SHARED DATABASE CHALLENGE
- 8. Database Speedment Hazelcast Hazelcast Application3:rd PartyApplication 3:rd Party Application 3:rd Party Application Hazelcast Application Hazelcast Application THE SHARED DATABASE CHALLENGE
- 9.
- 10.
- 11. REFLECTS ALL DATAWITH 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. Database2. Speedment GUI 3. IDE
- 15. GENERATED CODE • Everythingyou 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> describeemployees; +------------+---------------+------+-----+---------+----------------+ | 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 AROW 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 YOUUSE IT? “Easy as 1, 2, 3...”
- 19. 1) CONNECT TOYOUR EXISTING SQL DB…
- 20. …AND IT ISAUTOMATICALLY ANALYZED
- 21.
- 22. Work as youare 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.
- 25.
- 26. SALES ORGANIZATION • HQin 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.
- 28.
- 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 1,3M meters Grid Internet Writer x1000 TPS
- 31. DB Users 1,3 M meters POWERGRID 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