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JAXLondon - Squeezing Performance of IMDGs

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Squeezing Performance ! out of In-Memory Data Grids © 2014 Hazelcast Inc. FUAD MALIKOV HAZELCAST CO-FOUNDER
Hazelcast co-founder! Java Developer since 2005! Worked at Financials and Telco’s. ! Leading Hazelcast Technical Operations. © 2014 Hazelcast Inc. About me 2 Follow me @fuadm
Agenda - 50 Minutes + Q&A © 2014 Hazelcast Inc. 3 Overview to IMDG’s! Hazelcast Partitioning Basics! A Shopping Cart Use – Case! 8 possible solutions! Q&A
© 2014 Hazelcast Inc. What is an IMDG? 4 Data Structures(s) in memory! Distributed across servers ! Highly Available and Resilient! Horizontal Scalability! Object based Data Model
© 2014 Hazelcast Inc. Why an IMDG? Performance - RAM is faster than Disk! Data Structure - linked data model and application code ! Scalability - add servers to scale out RAM and CPU! Resiliency - seamless recovery from node failures! API - native, flexible and rich functionality 5
Popular In-Memory Data Grids © 2014 Hazelcast Inc. Oracle Coherence ! Gigaspaces! Gemfire! IBM ExtremeScale! Infinispan! GridGain! Hazelcast! Terracotta* 6
© 2014 Hazelcast Inc. Hazelcast 7
Data Distribution © 2014 Hazelcast Inc. 8
Partitioning (1 node) PARTITION_COUNT = 271 partition_id = hash(serialize(key))%PARTITION_COUNT © 2014 Hazelcast Inc. 9 P_1 P_2 P_271
Partitioning (2 nodes) © 2014 Hazelcast Inc. 10 P_1 P_2 P_135 P_136 P_137 P_271 P_136 P_137 P_271 P_1 P_2 P_135
Partitioning (4 nodes) © 2014 Hazelcast Inc. 11 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204
© 2014 Hazelcast Inc. Example 12 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.put(“LHR”, “London Heathrow Airport”)?
map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 13 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 Hash(“LHR”)-­‐ > P_200
map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 14 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 1
map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 15 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 2 1
map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 16 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 2 1 3
map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 17 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 2 4 1 3
© 2014 Hazelcast Inc. Hashing 18 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.get(“LHR”)?
© 2014 Hazelcast Inc. Hashing 19 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.get(“LHR”)? 1
© 2014 Hazelcast Inc. Hashing 20 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.get(“LHR”)? 1 2
Use - Case © 2014 Hazelcast Inc. 21
Shopping card example © 2014 Hazelcast Inc. 22
Shopping Cart Item © 2014 Hazelcast Inc. 23
© 2014 Hazelcast Inc. Shopping Cart 24
© 2014 Hazelcast Inc. Simulation 25
© 2014 Hazelcast Inc. Simulation 26 #[Mean = 2402.112, StdDeviation = 4519.652] #[Max = 148504.576, Total count = 56690] Operations Per Second= 5738
What is wrong here? © 2014 Hazelcast Inc. Simulation 27 #[Mean = 2402.112, StdDeviation = 4519.652] #[Max = 148504.576, Total count = 56690] Operations Per Second= 5738
© 2014 Hazelcast Inc. Lock 28
© 2014 Hazelcast Inc. Lock 29 #[Mean = 3700.329, StdDeviation = 2750.031] #[Max = 56918.016, Total count = 27045] Operations Per Second= 2704
Can we improve this a little bit? © 2014 Hazelcast Inc. Lock 30 #[Mean = 3700.329, StdDeviation = 2750.031] #[Max = 56918.016, Total count = 27045] Operations Per Second= 2704
© 2014 Hazelcast Inc. XA Transaction 31
© 2014 Hazelcast Inc. XA Transaction 32 #[Mean = 4077.075, StdDeviation = 2119.846] #[Max = 43155.456, Total count = 24561] Operations Per Second= 2456
Didn’t improve that much. Why? © 2014 Hazelcast Inc. XA Transaction 33 #[Mean = 4077.075, StdDeviation = 2119.846] #[Max = 43155.456, Total count = 24561] Operations Per Second= 2456
© 2014 Hazelcast Inc. Local Transaction 34
© 2014 Hazelcast Inc. Local Transaction 35 #[Mean = 2654.831, StdDeviation = 5011.547] #[Max = 133955.584, Total count = 56761] Operations Per Second= 5726
Can we do it without a Transaction? © 2014 Hazelcast Inc. Local Transaction 36 #[Mean = 2654.831, StdDeviation = 5011.547] #[Max = 133955.584, Total count = 56761] Operations Per Second= 5726
Compare and swap instead of locking © 2014 Hazelcast Inc. 37
Compare and swap instead of locking © 2014 Hazelcast Inc. 38 #[Mean = 2540.975, StdDeviation = 5113.372] #[Max = 133365.760, Total count = 60087] Operations Per Second= 6082
Compare and swap instead of locking © 2014 Hazelcast Inc. 39 What other options do we have? #[Mean = 2540.975, StdDeviation = 5113.372] #[Max = 133365.760, Total count = 60087] Operations Per Second= 6082
© 2014 Hazelcast Inc. 40
Move operation to data © 2014 Hazelcast Inc. 41
Move operation to data © 2014 Hazelcast Inc. 42
Move operation to data © 2014 Hazelcast Inc. 43 #[Mean = 5725.046, StdDeviation = 197009.148] #[Max = 13639876.608, Total count = 37219] Operations Per Second= 3721
Move operation to data © 2014 Hazelcast Inc. 44 #[Mean = 5725.046, StdDeviation = 197009.148] #[Max = 13639876.608, Total count = 37219] Operations Per Second= 3721 Can we move it any closer?
© 2014 Hazelcast Inc. Entry Processor 45
© 2014 Hazelcast Inc. Entry Processor 46 #[Mean = 1876.355, StdDeviation = 1751.857] #[Max = 36306.944, Total count = 69648] Operations Per Second= 7018
Entry Processor Object format © 2014 Hazelcast Inc. 47 #[Mean = 1199.272, StdDeviation = 1023.777] #[Max = 34013.184, Total count = 83520] Operations Per Second= 8352
HUGL meets tonight!! https://github.com/fuadm/webinar-TDHW ! Twitter: @fuadm! https://groups.google.com/forum/#!forum/hazelcast! http://hazelcast.com/company/careers/! http://hazelcast.org/learn/ © 2014 Hazelcast Inc. Questions? 48

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JAXLondon - Squeezing Performance of IMDGs

  • 1. Squeezing Performance ! out of In-Memory Data Grids © 2014 Hazelcast Inc. FUAD MALIKOV HAZELCAST CO-FOUNDER
  • 2. Hazelcast co-founder! Java Developer since 2005! Worked at Financials and Telco’s. ! Leading Hazelcast Technical Operations. © 2014 Hazelcast Inc. About me 2 Follow me @fuadm
  • 3. Agenda - 50 Minutes + Q&A © 2014 Hazelcast Inc. 3 Overview to IMDG’s! Hazelcast Partitioning Basics! A Shopping Cart Use – Case! 8 possible solutions! Q&A
  • 4. © 2014 Hazelcast Inc. What is an IMDG? 4 Data Structures(s) in memory! Distributed across servers ! Highly Available and Resilient! Horizontal Scalability! Object based Data Model
  • 5. © 2014 Hazelcast Inc. Why an IMDG? Performance - RAM is faster than Disk! Data Structure - linked data model and application code ! Scalability - add servers to scale out RAM and CPU! Resiliency - seamless recovery from node failures! API - native, flexible and rich functionality 5
  • 6. Popular In-Memory Data Grids © 2014 Hazelcast Inc. Oracle Coherence ! Gigaspaces! Gemfire! IBM ExtremeScale! Infinispan! GridGain! Hazelcast! Terracotta* 6
  • 7. © 2014 Hazelcast Inc. Hazelcast 7
  • 8. Data Distribution © 2014 Hazelcast Inc. 8
  • 9. Partitioning (1 node) PARTITION_COUNT = 271 partition_id = hash(serialize(key))%PARTITION_COUNT © 2014 Hazelcast Inc. 9 P_1 P_2 P_271
  • 10. Partitioning (2 nodes) © 2014 Hazelcast Inc. 10 P_1 P_2 P_135 P_136 P_137 P_271 P_136 P_137 P_271 P_1 P_2 P_135
  • 11. Partitioning (4 nodes) © 2014 Hazelcast Inc. 11 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204
  • 12. © 2014 Hazelcast Inc. Example 12 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.put(“LHR”, “London Heathrow Airport”)?
  • 13. map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 13 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 Hash(“LHR”)-­‐ > P_200
  • 14. map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 14 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 1
  • 15. map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 15 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 2 1
  • 16. map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 16 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 2 1 3
  • 17. map.put(“LHR”, “London Heathrow Airport”)? © 2014 Hazelcast Inc. Hashing 17 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 2 4 1 3
  • 18. © 2014 Hazelcast Inc. Hashing 18 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.get(“LHR”)?
  • 19. © 2014 Hazelcast Inc. Hashing 19 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.get(“LHR”)? 1
  • 20. © 2014 Hazelcast Inc. Hashing 20 P_1 P_2 P_67 P_68 P_69 P_136 P_68 P_137 P_271 P_1 P_138 P_205 P_137 P_138 P_204 P_205 P_206 P_271 P_2 P_69 P_206 P_67 P_136 P_204 map.get(“LHR”)? 1 2
  • 21. Use - Case © 2014 Hazelcast Inc. 21
  • 22. Shopping card example © 2014 Hazelcast Inc. 22
  • 23. Shopping Cart Item © 2014 Hazelcast Inc. 23
  • 24. © 2014 Hazelcast Inc. Shopping Cart 24
  • 25. © 2014 Hazelcast Inc. Simulation 25
  • 26. © 2014 Hazelcast Inc. Simulation 26 #[Mean = 2402.112, StdDeviation = 4519.652] #[Max = 148504.576, Total count = 56690] Operations Per Second= 5738
  • 27. What is wrong here? © 2014 Hazelcast Inc. Simulation 27 #[Mean = 2402.112, StdDeviation = 4519.652] #[Max = 148504.576, Total count = 56690] Operations Per Second= 5738
  • 28. © 2014 Hazelcast Inc. Lock 28
  • 29. © 2014 Hazelcast Inc. Lock 29 #[Mean = 3700.329, StdDeviation = 2750.031] #[Max = 56918.016, Total count = 27045] Operations Per Second= 2704
  • 30. Can we improve this a little bit? © 2014 Hazelcast Inc. Lock 30 #[Mean = 3700.329, StdDeviation = 2750.031] #[Max = 56918.016, Total count = 27045] Operations Per Second= 2704
  • 31. © 2014 Hazelcast Inc. XA Transaction 31
  • 32. © 2014 Hazelcast Inc. XA Transaction 32 #[Mean = 4077.075, StdDeviation = 2119.846] #[Max = 43155.456, Total count = 24561] Operations Per Second= 2456
  • 33. Didn’t improve that much. Why? © 2014 Hazelcast Inc. XA Transaction 33 #[Mean = 4077.075, StdDeviation = 2119.846] #[Max = 43155.456, Total count = 24561] Operations Per Second= 2456
  • 34. © 2014 Hazelcast Inc. Local Transaction 34
  • 35. © 2014 Hazelcast Inc. Local Transaction 35 #[Mean = 2654.831, StdDeviation = 5011.547] #[Max = 133955.584, Total count = 56761] Operations Per Second= 5726
  • 36. Can we do it without a Transaction? © 2014 Hazelcast Inc. Local Transaction 36 #[Mean = 2654.831, StdDeviation = 5011.547] #[Max = 133955.584, Total count = 56761] Operations Per Second= 5726
  • 37. Compare and swap instead of locking © 2014 Hazelcast Inc. 37
  • 38. Compare and swap instead of locking © 2014 Hazelcast Inc. 38 #[Mean = 2540.975, StdDeviation = 5113.372] #[Max = 133365.760, Total count = 60087] Operations Per Second= 6082
  • 39. Compare and swap instead of locking © 2014 Hazelcast Inc. 39 What other options do we have? #[Mean = 2540.975, StdDeviation = 5113.372] #[Max = 133365.760, Total count = 60087] Operations Per Second= 6082
  • 40. © 2014 Hazelcast Inc. 40
  • 41. Move operation to data © 2014 Hazelcast Inc. 41
  • 42. Move operation to data © 2014 Hazelcast Inc. 42
  • 43. Move operation to data © 2014 Hazelcast Inc. 43 #[Mean = 5725.046, StdDeviation = 197009.148] #[Max = 13639876.608, Total count = 37219] Operations Per Second= 3721
  • 44. Move operation to data © 2014 Hazelcast Inc. 44 #[Mean = 5725.046, StdDeviation = 197009.148] #[Max = 13639876.608, Total count = 37219] Operations Per Second= 3721 Can we move it any closer?
  • 45. © 2014 Hazelcast Inc. Entry Processor 45
  • 46. © 2014 Hazelcast Inc. Entry Processor 46 #[Mean = 1876.355, StdDeviation = 1751.857] #[Max = 36306.944, Total count = 69648] Operations Per Second= 7018
  • 47. Entry Processor Object format © 2014 Hazelcast Inc. 47 #[Mean = 1199.272, StdDeviation = 1023.777] #[Max = 34013.184, Total count = 83520] Operations Per Second= 8352
  • 48. HUGL meets tonight!! https://github.com/fuadm/webinar-TDHW ! Twitter: @fuadm! https://groups.google.com/forum/#!forum/hazelcast! http://hazelcast.com/company/careers/! http://hazelcast.org/learn/ © 2014 Hazelcast Inc. Questions? 48