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JEEConf 2016. Effectiveness and code optimization in Java applications
- 1. Effectiveness and codeoptimization in Java applications Sergey Morenets May, 21 2016
- 2. SPEAKER FOUNDER DEVELOPER 12 YEARS TRAINER4 YEARS WRITER 3 BOOKS
- 4. Spring Data VsJDBC
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- 10. Agenda What is effectiveness? Codeoptimization JVM optimization Code samples Measurements
- 11. Ideal code Concise Readable Self-describingReusable Testable Modern Flexible Scalable Effective
- 12. Effectiveness Hard to determineon code/design review stages or in unit-tests Cannot be defined in development environment Optimization is interactive Premature optimization is evil Hardware-specific The only aspect of the ideal code that affects users
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- 20. Tuning JVM options Metaspace/heap/stack size Garbagecollector options http://blog.sokolenko.me/2014/11/javavm-options- production.html http://www.javaspecialists.eu/
- 21. Why is itimportant? Time- consuming processes Big data Real-time systems
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- 23. Code optimization public intexecute(); Code: 0: iconst_2 1: istore_1 2: iinc 1, 1 5: iconst_1 6: ireturn
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- 25. Code optimization public voidexecute(); Code: 0: return
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- 27. Code optimization public staticboolean get(); Code: 0: iconst_1 1: ireturn
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- 29. Code optimization public voidexecute(); Code: 0: return
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- 31. Code optimization public intexecute(); Code: 0: iconst_2 1: istore_1 2: iconst_4 3: istore_2 4: iload_1 5: iload_2 6: iadd 7: ireturn
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- 33. Code optimization public intexecute(); Code: 0: bipush 6 2: ireturn
- 34. Measurements JMH is microbenchmarking framework Developed by Oracle engineers First release in 2013 Requires build tool(Maven, Gradle) Can measure throughput or average time Includes warm-up period Part of Java 9
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- 37. Environment JMH 1.12 Maven 3.3.9 JDK1.8.0.91 Intel Core i7, 4 cores, 16 GB
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- 39. Method vs Field 1,95ns 1,93 ns
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- 41. Strings 7,62 ns 13,4 ns 7,32ns 7,24 ns
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- 46. Measurements Type(characters) Time(ns) Multiple(3) 627 Single(3)284 Multiple(30) 773 Single(30) 387
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- 49. Measurements Type(characters) Time(ns) Multiple(3) 634 Single(3)283 Pattern(3) 151
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- 51. Measurements Type Time(ns) For (10elements) 4,9 For-each (10 elements) 5,1 For (1000 elements) 260 For-each (1000 elements) 259,9 For (50000 elements) 12957 For-each (50000 elements) 12958
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- 53. Measurements Type Time(ns) Sequential (10elements) 5 Parallel (10 elements) 6230 Sequential (1000 elements) 263 Parallel (1000 elements) 8688 Sequential (50000 elements) 13115 Parallel (50000 elements) 34695
- 54. Measurements Type Time(ns) Sequential (10elements) 5 Parallel (10 elements) 6230 Sequential (1000 elements) 263 Parallel (1000 elements) 8688 Sequential (50000 elements) 13115 Parallel (50000 elements) 34695 Sequential (5 000 000 elements) 1 765 206 Parallel (5 000 000 elements) 2 668 564 Sequential (500 000 000) 183 ms Parallel (500 000 000) 174 ms
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- 56. Measurements Type Time(ns) Array(100 elements)58 List(100 elements) 390 Array(10 000 elements) 4776 List(10 000 elements) 48449
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- 58. Collections Type Time(ns) Fill HashMap(1000elements) 16000 Fill TreeMap(1000 elements) 40115 Fill HashMap(100 000 elements) 2 027 116 Fill TreeMap(100 000 elements) 11 195 422 Iteration HashMap(1000 elements) 3086 Iteration TreeMap(1000 elements) 5038
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- 62. Measurements Type Time(ns) ArrayList (1000elements) 4766 ArrayList (100 000 elements) 381707 LinkedList (1000 elements) 5504 LinkedList (100 000 elements) 504231
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- 64. Measurements Type Time(ns) ArrayList (1000elements) 26767 ArrayList (100 000 elements) 276(ms) LinkedList (1000 elements) 300971 LinkedList (100 000 elements) 3424(ms)
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- 66. Measurements Type Time(ns) ArrayList (1000elements) 774 ArrayList (100 000 elements) 144814 LinkedList (1000 elements) 2161 LinkedList (100 000 elements) 292364
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- 70. Measurements Type Time(ns) ArrayList (1000elements) 49710 ArrayList (100 000 elements) 632 754 873 LinkedList (1000 elements) 8507 LinkedList (100 000 elements) 874 483
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- 72. Measurements Type (elements) Time(ns) ArrayList(1000) 4732 ArrayList (100 000) 387692 LinkedList (1000) 5775 LinkedList (100 000) 511646 ObjectArrayList(1000) 3168 ObjectArrayList(100 000) 322811
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- 74. Measurements Type (elements) Time(ns) ArrayList(1000) 4595 ArrayList (100 000) 394645 ObjectArrayList(1000) 328363 ObjectArrayList(100 000) 3187 TIntArrayList(1000) 189608 TIntArrayList(100 000) 1925
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- 78. Measurements Type Time(ns) Stack(1000 elements)5729 LinkedList(1000 elements) 7928 ArrayDeque(1000 elements) 4366 Stack(100 000 elements) 588770 LinkedList(100 000 elements) 773684 ArrayDeque(100 000 elements) 484280
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- 84. Measurements Type Time(ns) HashMap 4,53 EnumMap3,40 Direct usage 2,36
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- 87. Measurements Type 10 elements(ns)1000 elements 100000 elements For-each 85 8002 766765 Stream 147 11784 1103383
- 88. Conclusion Compiler and JIToptimization Speed and memory optimization Prefer ArrayList/HashMap Use measurement tools
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- 93. Enterprise Web server performance Databaseprogramming ORM & DI frameworks REST services Build management systems
- 94. Q&A • Sergey Morenets,sergey.morenets@gmail.com