1. Baratine in Practice Nam Nguyen Software Engineer Caucho Technology, Inc. 1 Date: 2014-06-17 Location: San Diego JUG

2. Baratine in Practice Download Install Our first @ResourceService - @Modify - Multiple counters Concepts @Service - implement an example @Workers - implement an example Type of services chart Partitioning and clustering 2

3. Task: Baratine quick start - Download - Install - Our first service http://doc.baratine.io/v0.8/manual/quick-start/ 3

4. @Journal @ResourceService(“public:///counter/{_id}”) public class CounterServiceImpl { private long _id; private long _counter; public long get() { return _counter; } @Modify public long incrementAndGet() { return ++_counter; } @Modify public long decrementAndGet() { return --_counter; } @Modify public long addAndGet(long value) { _counter = _counter + value; return _counter; } JOURNAL KEY-VALUE DB (internal) 4 HTTP Polling HTTP REST WebSocket Java

5. What You Get + Insane low-latency concurrent performance assign thread 1.incrementAndGet() 2.incrementAndGet() 3.addAndGet() 4.decrementAndGet() 5.incrementAndGet() assign thread 6.incrementAndGet() 7.... NO BLOCKING / LOCKING !  very CPU cache friendly (for both data and instructions) 5 Batch A Batch B CPU core uninterrupted during batch no context switching no pausing thread screams through entire batch

6. Batch Programming assign thread @BeforeBatch 1incrementAndGet() 2.addAndGet() 3.addAndGet() 4.decrementAndGet() 5.incrementAndGet() 6.incrementAndGet() @AfterBatch - flush writes assign thread @BeforeBatch 7....  Leave expensive operations to be executed at the end of the batch. 6 Inbox is empty at this point

7. 7 Performance Characteristics Batch Size / Clients Requests per Second Baratine

8. 8 Performance Characteristics Batch Size / Clients Requests per Second Baratine - - - - - - - - - - - - - - - - - - Service A to Service B within the same JVM

9. Reliable to Batch assign thread @BeforeBatch 1incrementAndGet() 2.addAndGet() 3.addAndGet() 4.decrementAndGet() 5.incrementAndGet() 6.incrementAndGet() @AfterBatch - flush writes assign thread @BeforeBatch 7....  Safe to process in batches. 9 @OnCheckpoint

10. Putting it All Together  Freed to operate in memory safely! ▲ Operational Data 10

11. 11 @Journal @ResourceService(“public:///counter/{_id}”) public class CounterServiceImpl { private long _id; private long _counter; public long get() { return _counter; } @Modify public long incrementAndGet() { return ++_counter; } @Modify public long decrementAndGet() { return --_counter; } @Modify public long addAndGet(long value) { _counter = _counter + value; return _counter; }

12. @Service Barebones service, basis of @ResourceService Singleton, only one instance within a JVM -No @Modify -No automatic restore -No automatic paging -No automatic checkpointing -No automatic query support -No automatic partitioning 12

13. @Service Less magic: you have fine-grained control +@Journal +@OnRestore +@OnCheckpoint +@OnActive +@BeforeBatch +@AfterBatch 13

14. Task: implement a logging service with a @Service 14

15. @Workers A @Service with a thread-pool acting on the inbox. Example: hibernate, SAP, MySQL, legacy, integration -Does not fully benefit from batching -Not single-threaded +Can block +Multi-threaded 15

16. Task: implement a @Workers @Service 16

17. Types of Services Annotation:@ResourceService@Service@Workers Batching ✓✓✓*✓* Journaling ✓✓ Checkpointing ✓✓ Paging ✓ Partitioning ✓ Resource ID’s ✓ Search ✓ Threaded-nesssingle multi Can Block? ✓ Performance ★★★☆★★★★★☆☆☆ 17 (manual)

18. Partitioning and Clustering 18 /auction/111 /auction/444 /auction/999 /auction/222 /auction/555 /auction/888 /auction/000 /auction/333 /auction/666 /auction/777 192.168.1.100 192.168.1.102 192.168.1.101 Resources are partitioned by its service URL and ID

19. State of Baratine GPL Been in active development for over 2 years v0.8.3 (alpha) http://baratine.iohttp://baratine.io (alpha) Thank you! 19 stealth <

20. 20 The End Q and A