Apache Cassandra and Drivers
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This is a two part talk in which we'll go over the architecture that enables Apache Cassandra’s linear scalability as well as how DataStax Drivers are able to take full advantage of it to provide developers with nicely designed and speedy clients extendable to the core.
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Apache Cassandra and Drivers
- 1. Apache Cassandra and Drivers Overview of Apache Cassandra and DataStax Drivers Bulat Shakirzyanov @avalanche123 Sandeep Tamhankar @stamhankar999 https://goo.gl/cBsRVv
- 3. © 2015 DataStax, All Rights Reserved. Datacenter Datacenter Cassandra Topology 3 Node NodeNode Node Client Client Node NodeNode Node Client Client Cluster
- 4. © 2015 DataStax, All Rights Reserved. Datacenter Datacenter Request Coordinator 4 Node NodeNode Node Client Client Node NodeCoordinator Node Client Client Coordinator node: Forwards requests to corresponding replicas
- 5. © 2015 DataStax, All Rights Reserved. Datacenter Row Replica 5 Replica NodeNode Replica Client Client Datacenter Node Node Replica Client Client Coordinator Replica node: Stores a slice of total rows of each keyspace
- 6. © 2015 DataStax, All Rights Reserved. Token Ring 6 12 1 2 3 4 5 6 7 8 9 10 11
- 7. © 2015 DataStax, All Rights Reserved. Token Ring 6 -263 … (+263 - 1) Murmur3 Partitioner
- 8. © 2015 DataStax, All Rights Reserved. Token Ring 6 Node 11…12 Node 12…1 Node 1…2 Node 2…3 Node 3…4 Node 4…5 Node 5…6 Node 6…7 Node 7…8 Node 8…9 Node 9…10 Node 10…11 -263 … (+263 - 1) Murmur3 Partitioner
- 9. © 2015 DataStax, All Rights Reserved. Keyspaces 7 CREATE KEYSPACE default WITH replication = { 'class': 'SimpleStrategy', 'replication_factor': 3 }
- 10. © 2015 DataStax, All Rights Reserved. C* Data Partitioning 8 Keyspace Row token(PK) = 1 RF = 3 Partitioner: Gets a token by hashing the primary key of a row
- 11. © 2015 DataStax, All Rights Reserved. C* Replication Strategy 9 Keyspace 1 Row RF = 3 Replication strategy: Determines the first replica for the row token(PK) = 1
- 12. © 2015 DataStax, All Rights Reserved. C* Replication Factor 10 Keyspace Row RF = 3 Replication factor: Specifies total number of replicas for each row token(PK) = 1
- 13. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 11 ReplicaApplication Consistency Level RF = 3, CL = Quorum
- 14. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 11 ReplicaApplication Consistency Level RF = 3, CL = Quorum INSERT
- 15. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 11 ReplicaApplication Consistency Level RF = 3, CL = Quorum INSERT
- 16. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 11 ReplicaApplication Consistency Level RF = 3, CL = Quorum INSERT
- 17. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 11 ReplicaApplication Consistency Level RF = 3, CL = Quorum INSERT
- 18. DataStax Drivers Smart clients for Apache Cassandra
- 19. © 2015 DataStax, All Rights Reserved. Goals of DataStax Drivers • Consistent set of features across languages • Asynchronous execution of requests • Load balancing • Fault tolerant • Address Resolution (multi-region!) • Automatic cluster discovery and reconnection • Flexible to the core • Consistent terminology • Open source 13
- 20. © 2015 DataStax, All Rights Reserved. 14
- 21. Asynchronous Execution IO Reactor, Request Pipelining and Future Composition
- 22. © 2015 DataStax, All Rights Reserved. Asynchronous Core 16 Application Thread Business Logic Driver Background Thread IO Reactor
- 23. © 2015 DataStax, All Rights Reserved. Request Pipelining 17 Client Without Request Pipelining Server Client Server With Request Pipelining 1 2 2 3 1 3 1 2 3 1 2 3
- 24. © 2015 DataStax, All Rights Reserved. What is a Future? • Represents the result of an asynchronous operation • Returned by any *_async method in the Ruby driver • execute_async • prepare_async • Will block if asked for the true result 18
- 25. © 2015 DataStax, All Rights Reserved. Future Composition 19 select_user = session.prepare('SELECT * FROM users WHERE id = ?') select_page = session.prepare('SELECT * FROM pages WHERE slug = ?') user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(select_user, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(select_page, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get
- 26. © 2015 DataStax, All Rights Reserved. select_user = session.prepare('SELECT * FROM users WHERE id = ?') select_page = session.prepare('SELECT * FROM pages WHERE slug = ?') user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(select_user, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(select_page, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get Future Composition 20
- 27. © 2015 DataStax, All Rights Reserved. select_user = session.prepare('SELECT * FROM users WHERE id = ?') select_page = session.prepare('SELECT * FROM pages WHERE slug = ?') user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(select_user, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(select_page, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get Future Composition 21
- 28. © 2015 DataStax, All Rights Reserved. select_user = session.prepare('SELECT * FROM users WHERE id = ?') select_page = session.prepare('SELECT * FROM pages WHERE slug = ?') user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(select_user, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(select_page, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get Future Composition 22
- 29. © 2015 DataStax, All Rights Reserved. select_user = session.prepare('SELECT * FROM users WHERE id = ?') select_page = session.prepare('SELECT * FROM pages WHERE slug = ?') user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(select_user, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(select_page, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get Future Composition 23
- 30. © 2015 DataStax, All Rights Reserved. select_user = session.prepare('SELECT * FROM users WHERE id = ?') select_page = session.prepare('SELECT * FROM pages WHERE slug = ?') user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(select_user, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(select_page, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get Future Composition 24
- 31. © 2015 DataStax, All Rights Reserved. Future Composition 25 [#<User @id=1 @username="avalanche123"; @page=#<Page @slug="avalanche123" ... > ... >, ... ]
- 32. © 2015 DataStax, All Rights Reserved. Pop Quiz: How to make this faster? 26 select_user = session.prepare('SELECT * FROM users WHERE id = ?') select_page = session.prepare('SELECT * FROM pages WHERE slug = ?') user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(select_user, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(select_page, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get
- 33. © 2015 DataStax, All Rights Reserved. Pop Quiz: How to make this faster? 27 user_future = session.prepare_async(‘SELECT * FROM users WHERE id = ?') page_future = session.prepare_async(‘SELECT * FROM pages WHERE slug = ?’) user_ids = [1, 2, 3, 4] futures = user_ids.map do |id| future = session.execute_async(user_future.get, arguments: [id]) future.then do |users| user = users.first future = session.execute_async(page_future.get, arguments: [user['username']]) future.then do |pages| page = pages.first User.new(user, Page.new(page)) end end end Cassandra::Future.all(futures).get
- 34. Load Balancing Principles and Implementations
- 35. © 2015 DataStax, All Rights Reserved. Application Driver Load Balancing 29 Application Thread Node Pool Session Pool Pool Pool Application Thread Application Thread Client Cluster Node Node Node Load Balancing Policy
- 36. © 2015 DataStax, All Rights Reserved. Application Driver Load Balancing 29 Application Thread Node Pool Session Pool Pool Pool Application Thread Application Thread Client Cluster Node Node Node Load Balancing Policy
- 37. © 2015 DataStax, All Rights Reserved. Application Driver Load Balancing 29 Application Thread Node Pool Session Pool Pool Pool Application Thread Application Thread Client Cluster Node Node Node Load Balancing Policy
- 38. © 2015 DataStax, All Rights Reserved. Datacenter Datacenter DataCenter Aware Balancing 30 Node Node NodeClient Node Node Node Client Client Client Client Client Local nodes are queried first, if none are available, the request could be sent to a remote node.
- 39. © 2015 DataStax, All Rights Reserved. Token Aware Balancing 31 Route request directly to Replicas Node Node Replica Node Client Replica Replica Uses prepared statement metadata to get the token
- 40. © 2015 DataStax, All Rights Reserved. Other built-in policies • Round Robin Policy • ignores topology • White List Policy • only connect with certain hosts 32
- 41. Fault Tolerance Sources of Failure and Error Handling
- 42. © 2015 DataStax, All Rights Reserved. Fault Tolerance 34 Coordinator Node Replica Replica Replica Node Business Logic Driver Application
- 43. © 2015 DataStax, All Rights Reserved. 35 Coordinator Node Replica Replica Replica Node Business Logic Driver Application Invalid Requests Network Timeouts Server Errors Possible Failures
- 44. © 2015 DataStax, All Rights Reserved. Application Driver Automatic Retry of Server Errors 36 Application Thread Node Pool Session Pool Pool Pool Application Thread Application Thread Client Cluster Node Node Node Load Balancing Policy
- 45. © 2015 DataStax, All Rights Reserved. Application Driver Automatic Retry of Server Errors 36 Application Thread Node Pool Session Pool Pool Pool Application Thread Application Thread Client Cluster Node Node Node Load Balancing Policy
- 46. © 2015 DataStax, All Rights Reserved. Application Driver Automatic Retry of Server Errors 36 Application Thread Node Pool Session Pool Pool Pool Application Thread Application Thread Client Cluster Node Node Node Load Balancing Policy
- 47. © 2015 DataStax, All Rights Reserved. 37 Coordinator Node Replica Replica Replica Node Business Logic Driver Application Unreachable Consistency
- 48. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 38 Replica Business Logic Driver Application Read / Write Timeout Error
- 49. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 38 Replica Business Logic Driver Application Read / Write Timeout Error
- 50. © 2015 DataStax, All Rights Reserved. Coordinator Node Replica Replica Node 38 Replica Business Logic Driver Application Read / Write Timeout Error read / write timeout
- 51. © 2015 DataStax, All Rights Reserved. 39 Coordinator Node Replica Replica Replica Node Business Logic Driver Application Unavailable Error
- 52. © 2015 DataStax, All Rights Reserved. 39 Coordinator Node Replica Replica Replica Node Business Logic Driver Application Unavailable Error unavailable
- 53. © 2015 DataStax, All Rights Reserved. 40 Error Handling
- 54. Address Resolution Topology Aware Client
- 55. © 2015 DataStax, All Rights Reserved. Datacenter Datacenter Multiple Addresses 42 Node NodeNode Node Client Client Node NodeNode Node Client Client Within Datacenter: Private IPs Across Datacenters: Public IPs
- 56. © 2015 DataStax, All Rights Reserved. Application Driver Address Resolution 43 Application Thread Application Thread Application Thread Client Cluster
- 57. © 2015 DataStax, All Rights Reserved. Application Driver Address Resolution 43 Application Thread Node Cluster Application Thread Application Thread Client Cluster Address Resolution Policy
- 58. © 2015 DataStax, All Rights Reserved. Application Driver Address Resolution 43 Application Thread Node Cluster Application Thread Application Thread Client Cluster Node Node Node Address Resolution Policy Control Connection
- 59. © 2015 DataStax, All Rights Reserved. Application Driver Address Resolution 43 Application Thread Node Cluster Application Thread Application Thread Client Cluster Node Node Node Address Resolution Policy Control Connection
- 60. © 2015 DataStax, All Rights Reserved. Application Driver Address Resolution 43 Application Thread Node Pool Cluster Pool Pool Pool Application Thread Application Thread Client Cluster Node Node Node Address Resolution Policy Control Connection Session
- 61. © 2015 DataStax, All Rights Reserved. EC2 Multi-Region Address Resolution 44
- 62. © 2015 DataStax, All Rights Reserved. More • Request Tracing • Execution Information • which node was used, # retries for query, etc. • State Listeners • node goes down/comes up, schema changes, etc. • Result Paging • SSL and Authentication 45
- 63. Questions