Multi dimensional scaling with CouchBase

Presented by Clarence Tauro at the Singapore Spring User Group on August 20th

Transcript

1. MULTI-DIMENSIONAL SCALING – A NEW ARCHITECTURE FOR SCALING BIG DATA APPLICATION NoSQL Night Singapore
2. ©2015  Couchbase  Inc.   2   Agenda   § Brief  history  of  scaling  in  database   §  Scaling  up     §  Scaling  out   § NoSQL  workloads  and  scalability  model   §  Core  data  operations,  indexing  and  querying   §  Homogenous  HW  scaling   § Introducing  multi-­‐dimensional  scaling   §  Isolation  of  workloads  through  a  services  architecture   §  Independent  HW  scaling   § Q  &  A  
3. ©2015  Couchbase  Inc.   3   Disclaimer  &  Notes   §  Disclaimer:  The  views  expressed  in  this  presentation  are  our  own  and  do   not  necessarily  reflect  the  views  of  Couchbase   §  Most  of  the  content  in  this  presentation  is  originally  created  by  Anil,   Product  Manager,  Couchbase   §  Thanks  Anil,  for  allowing  me  to  re-­‐use  your  slides  J     3  
4. ©2015  Couchbase  Inc.   4   About  the  Speaker   § Clarence J M Tauro – clarence@couchbase.com -  Senior Instructor, Couchbase -  ~11 Years Professional Teaching and Consulting Experience -  Worked at Pivotal – Instructor/Consultant for Spring/Spring Security/Spring Web/Enterprise Integration with Spring/Spring JMS/Spring Web/Spring Batch, Pivotal Hadoop/Cloud Foundry -  PhD in Computer Science from Christ University [thesis accepted] -  Hard-core Dog lover 4  
5. Brief  History  of  Scaling  in  Database  
6. ©2015  Couchbase  Inc.   6   Scaling  up   § Scale-­‐up  architecture   §  Cluster  processors  –  hyper-­‐threading  to  cores   §  Locally  partition  workload  among  processors     §  Communicate  over  memory  
7. ©2015  Couchbase  Inc.   7   Scaling  Up  –  Pros  &  Cons   Pros   §  Can  result  in  major   performance  improvement   §  Machines  can  now  support   having  many  cores  and   terabytes  of  RAM     Cons   §  Expensive   §  Requires  downtime   §  Performance  bounded  –  at   some  point  the  database   engine  itself  becomes  the   bottleneck     §  Limited  in  scalability  and   elasticity    
8. ©2015  Couchbase  Inc.   8   Scaling  out   § Scale-­‐out  architecture   §  Cluster  of  commodity  HW     §  Horizontal  partitioning  of  data  on  cluster  nodes   §  Communicate  over  network  
9. ©2015  Couchbase  Inc.   9   Scaling  Out  –  Pros  &  Cons   Pros   §  Simple  and  easily  scalable   §  Data  evenly  split  across  cluster   of  nodes   §  Scales  linearly  with  throughput   §  Highly  available   §  No  single  point  of  failure   Cons   §  Not  great  for  all  workloads  – data,  index  and  query    
10. ©2015  Couchbase  Inc.   10   So  Which  Model  is  the  Right  Model  ?   Scale  up  or  scale  out?  
11. ©2015  Couchbase  Inc.   11   Scaling  Up  vs.  Scale  Out   Link  to  whitepaper  -­‐   http://www.msr-­‐ waypoint.com/pubs/204499/ a20-­‐appuswamy.pdf      
12. NoSQL  Workloads  &  Scalability  Model  
13. ©2015  Couchbase  Inc.   13   NoSQL  Workloads   § One  database,  many  workloads     §  Core  data  processing:  GETs  &  SETs  for  a  given  key   §  Indexing:  Index  maintenance  and  lookups   §  Querying:  Combine  index  and  data  with  complex  just-­‐in-­‐time  data   re-­‐shaping,  ordering,  grouping,  aggregations,  and  more     Varying  resource  requirements  -­‐  CPU,  RAM,  I/O,  Network   Varying  methods  to  optimize  latency  &  throughput  for  each  
14. ©2015  Couchbase  Inc.   14   Scalability  Model  Today   Homogenous  Scaling   §  Each  node  get  a  slice  of  the  workload   §  Simple  to  do…   But...   §  Workloads  compete  and  interfere  with  each  other   §  Can’t  fine  tune  each  workload   §  Core  Data  operation  are  partition-­‐able  so  great  with  wider  fan-­‐out   §  Indexing  and  queries  aren’t  always  partitionable,  so  worse  with  wider  fan-­‐out     Index  Workload   Couchbase  Cluster   Query  Workload   Data  Workload   node1   node8  
15. Introducing  Multi-­‐Dimensional  Scaling  
16. ©2015  Couchbase  Inc.   16   Modern  Architecture   What  is  Multi-­‐Dimensional  Scalability?     MDS  is  the  architecture  that  enables  independent  scaling  of   data,  query  and  indexing  workloads.       Index  Service   Couchbase  Cluster   Query  Service   Data  Service   node1   node8  
17. ©2015  Couchbase  Inc.   17   Couchbase  Cluster   node1   node8   Modern  Architecture   § Isolated  Service  for  minimized  interference   §  Independent  “zones”  for  Query,  Index  and  Data  Services   Minimize  indexing  and  query  overhead  on  core  key-­‐value  operations.   Index  Service   Query  Service   Data  Service  
18. ©2015  Couchbase  Inc.   18   Modern  Architecture   §  Independent  Scalability  for  Best  Computational  Capacity  per  Service       Heavier  indexing  (index  more  fields)  :  scale  up  index  service  nodes    More  RAM  for  query  processing:  scale  up  query  service  nodes       Couchbase  Cluster   node1   node8   node9   Data  Service   Index  Service   Query  Service  
19. Services  Architecture   Data,  Index,  &  Query  
20. ©2015  Couchbase  Inc.   20   Full  Cluster  Architecture   STORAGE   Couchbase  Server  1   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  2   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  3   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  4   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  5   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  6   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service  
21. ©2015  Couchbase  Inc.   21   Full  Cluster  Architecture   STORAGE   Couchbase  Server  1   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  2   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  3   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  4   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  5   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service   STORAGE   Couchbase  Server  6   SHARD   7   SHARD   9   SHARD   5   SHARD   SHARD     SHARD     Managed   Cache   Cluster     Manager   Cluster   Manager   Managed     Cache   Storage     Data  Service   Index  Service   Query  Service  
22. ©2015  Couchbase  Inc.   22   Storage  Engine   Cluster  Manager   Data  Service                 Projector  &  Router   New  Services  in  Couchbase  Server  4.0   Query  Service                 Index  Service                 Supervisor   Index  maintenance  &     Scan  coordinator   Index#2   Index#1   Query  Processor   cbq-­‐engine   Bucket#1   Bucket#2   DCP  Stream   Index#4   Index#3   ...   Bucket#2   18093   11211   18901   Managed  Cache  
23. ©2015  Couchbase  Inc.   23   Recap   § MDS  enables  unprecedented  control  of  scalability  with   Couchbase  Server   §  Separate  out  competing  workloads  to  independent  services   §  Independently  scale  each  service  “zone”  within  the  cluster   § Couchbase  Server  with  MDS  maximizes  scalability  and   performance   §  Improves  scale  and  performance  to  degrees  not  possible  with  other   NoSQL  or  big-­‐data  engines  on  premise  or  in  the  cloud   §  Improved  price/performance  and  squeezes  more  performance  and   throughput  for  mission-­‐critical  systems  
24. Thank  you.  
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