The 2nd RavenDB conference presented an overview of RavenDB 3.5, highlighting over 2,500 commits and more than 20 major features primarily focused on distributed work and performance enhancements. Key improvements include a dynamic leader for replication, optimized backup and versioning, and advanced monitoring capabilities. The conference also discussed significant advancements in full-text search, querying performance, and memory management.

1. 2ND RAVENDB
CONFERENCE
Oren Eini
oren@ravendb.net

3. RAVENDB 3.5
Oren Eini
oren@ravendb.net

4. STATS
• More than 2,500 commits
• Work started in Dec 2013
• 20+ core dev team
• Over 20 major features

5. FOCUS
• Distributed work
• Operations
• Performance
• High load

6. DISTRIBUTED WORK

7. RAFT IMPLEMENTATION
• The cluster
• Reliable
• Cluster wide operations
• Dynamic leader
• Replication
• Multi master
• Clients will use leader as primary
• No jitter on failover/recovery
• Reduced conflicts

8. LOAD BALANCING SLA
I choose you the fastest

9. FILTERED REPLICATION

10. CAN YOU EXPLAIN THAT?

11. LARGE CLUSTER IMPROVEMENTS

12. OPERATIONS

13. ADMIN CONSOLE

14. GLOBAL CONFIGURATION
• Simplify multi database configuration
• Backup
• Replication
• Versioning

15. I/O INSIGHTS

16. I/O MONITORING

17. REQUEST TRACING / TIMING

18. DATA EXPLORATION

19. SCRIPTING
with document_store.open_session() as session:
people = list(session.query(Person).where(name="Arava"))
for person in people:
print person.name

20. SNMP MONITORING

21. zabbix.ravendb.net

22. VERSIONING

23. PERFORMANCE

24. THREAD POOL
• Dedicated indexing threads
• Dynamic priorities
• Work stats
• Smarter work distribution

25. FULL TEXT SEARCH
• Optimized analyzer
• Reduced allocations

26. QUERYING
• Memory mapped indexes
• Better query parser
• No exceptions!

27. MEMORY
• Low memory handling
• Lower memory usage
• Many concurrent indexes
• Slow I/O systems
• Tracing auto tuning decisions

28. QUESTIONS?