suuchi - distributed data systems toolkit

Talk gave at Chennai Docker / Go meetup
references available at https://github.com/ashwanthkumar/suuchi-talk

1. suuchi - distributed data systems toolkit bit.ly/suuchi-toolkit
2. blank yep, it’s intentional
3. ashwanth kumar @_ashwanthkumar ashwanthkumar.in principal engineer
4. data system paradigms things you always knew but never heard
5. data shipping function shipping
6. sum of numbers on data shipping paradigm
7. data shipping paradigm select col from table;
8. select col from table; data shipping paradigm <<results>>
9. select col from table; data shipping paradigm <<results>>
10. sum of numbers on function shipping paradigm
11. function shipping paradigm select sum(col) from table;
12. function shipping paradigm select sum(col) from table;
13. <<result>> function shipping paradigm select sum(col) from table;
14. data locality for low latency / data intensive applications
15. - traditional 3 tier applications - state is maintained outside the app - usually the dbs become the bottleneck - resort to pre-computes for performance increasing complexity data shipping function shipping - data locality - low latency - high performance - low network transfer - modern big-data compute systems - Hadoop MR - Spark - Storm
16. recursive reduction aggregations in distributed systems
17. recursive reduction select sum(col) from table;
18. recursive reduction select sum(col) from table;
19. recursive reduction select sum(col) from table; <<result>>
20. recursive reduction - sum / multiplication / custom aggregation - (sorted) top-K elements - operations on a graph - eg. link reach on twitter graph - any operation that is both associative and commutative
21. Modelled after Big Table Built for key based lookup Later added CoProc - Limited capability - External dependencies like Apache Phoenix real world examples
22. - Hive / Hadoop MR / Spark / Storm - Provides generic computing framework with UDF support - Datastores provides Hadoop integrations - Optimized for Batch processing but hardly for serving online content - Lot of operational overhead - And still no data locality :( real world aggregations
23. suuchi toolkit for building distributed function shipping applications github.com/ashwanthkumar/suuchi
24. blocks
25. components - transport uses http/2 with streaming
26. components - membership static dynamic fault tolerance in case of node/process failure scaling up/down needs downtime of the system
27. components - dynamic membership raft swim consistency vs availability
28. components - request routing Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the World Wide Web node 2 node 1 node 3 node 4
29. components - request routing Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the World Wide Web node 2 node 1 node 3 node 4
30. components - request routing Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the World Wide Web node 2 node 1 node 3 node 4
31. components - request routing Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the World Wide Web node 2 node 1 node 3 node 4
32. components - request routing Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the World Wide Web node 2 node 3 node 4
33. components - replication Res Req
34. components - store store agnostic ops - Get - Put / Remove WIP - Scan - Batch
35. components - store Embedded Fast persistent KV store Optimized for SSDs suuchi-rocksdb VersionedStore ShardedStore
36. - define a gRPC service using proto2 (or proto3) - generate the stubs in java / scala - implement the services - connect them together using Suuchi - Server how?
37. see some code see notes section for links
38. - Used to build Finder - Internal HTML archive store - Handles 1000+ rps - write heavy system - Stores 120TB of data across 10 nodes suuchi @indix
39. questions? references available at github.com/ashwanthkumar/suuchi-talk