Ask and you shall receive: Empirically evaluating declarative approaches to finding data in unstructured heaps

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1. Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps William F. Jones and Gregory M. Kapfhammer Allegheny College http://www.cs.allegheny.edu/∼gkapfham/ 20th International Conference on Software Engineering and Data Engineering, June 20 - 22, 2011
2. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
3. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
4. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Solutions Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
5. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Solutions Benchmarking Framework Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
6. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Solutions Benchmarking Framework JQL: Java Query Language Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
7. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Solutions Benchmarking Framework JQL: Java Query Language JoSQL: Java Objects Struc- tured Query Language Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
8. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Solutions Benchmarking Framework JQL: Java Query Language JoSQL: Java Objects Struc- tured Query Language HC: Hand Coded Iterative Methods Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
9. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Solutions Benchmarking Framework JQL: Java Query Language JoSQL: Java Objects Struc- tured Query Language HC: Hand Coded Iterative Methods Comprehensive Empirical Study Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
10. Introduction Query Methods Empirical Study Conclusion Overview of the Presentation Finding Data in Unstructured Heaps Challenges Solutions Benchmarking Framework JQL: Java Query Language JoSQL: Java Objects Struc- tured Query Language HC: Hand Coded Iterative Methods Comprehensive Empirical Study Experiments Reveal Trade-offs in Performance and Overall Viability Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
11. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap The unstructured heap in a Java virtual machine stores objects that are connected in complex and unpredictable ways (Xu and Rountev, ICSE 2008) Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
12. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap The unstructured heap in a Java virtual machine stores objects that are connected in complex and unpredictable ways (Xu and Rountev, ICSE 2008) When is an Object Allocated to the Heap? LinkedList list = new LinkedList() Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
13. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap The unstructured heap in a Java virtual machine stores objects that are connected in complex and unpredictable ways (Xu and Rountev, ICSE 2008) When is an Object Allocated to the Heap? LinkedList list = new LinkedList() Let’s Allocate Some Objects to the Heap! Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
14. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
15. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
16. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
17. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Root ... 22 5 19 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
18. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Root ... 22 5 19 Start 75 ... Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
19. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Root ... 22 5 19 Start 75 ... LinkedList Node(s) with Values Greater Than Those in the Trees Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
20. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Root ... 22 5 19 Start 75 ... LinkedList Node(s) with Values Greater Than Those in the Trees 238 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
21. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Root ... 22 5 19 Start 75 ... 238 How Do We Find These Nodes? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
22. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Root ... 22 5 19 Start 75 ... 238 How Do We Find These Nodes? Imperative - Give the Procedure Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
23. Introduction Query Methods Empirical Study Conclusion Correctly and Efficiently Finding Objects in the Heap uk−1 uk uk+1 wk−1 B wk B wk+1 B · · · xk−1 A xk A xk+1 · · · vk−1 H vk H vk+1 H zk−1 zk zk+1 S00 T01 S01 T02 S02 T03 S03 T04 S04 T05 S05 T06 S06 T07 S07 T08 S08 T09.0 T09.1 S09 T10 S10 T11 S11 T12 S12 T13 S13 T14 S14 T15 S15 T16 S16 T17 S17 T18 S18 T19 S19 T20 S20 T21 S21 T22.0 T22.1 S22 55 119 5 5 238 94 ∅ Root ... 22 5 19 Start 75 ... 238 How Do We Find These Nodes? Declarative - Give the Specification Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
24. Introduction Query Methods Empirical Study Conclusion Object Query Languages and Bicycles Efficiency - Bicycle: Low wind resistance and time to destination Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
25. Introduction Query Methods Empirical Study Conclusion Object Query Languages and Bicycles Efficiency - Query: Minimal space overhead and a low response time Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
26. Introduction Query Methods Empirical Study Conclusion Object Query Languages and Bicycles Effectiveness - Bicycle: Transports all item(s) with no break downs Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
27. Introduction Query Methods Empirical Study Conclusion Object Query Languages and Bicycles Effectiveness - Query: Always returns the correct result(s) to a query Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
28. Introduction Query Methods Empirical Study Conclusion Object Query Languages and Bicycles Cost - Bicycle: Frame material(s) and components cause price to vary Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
29. Introduction Query Methods Empirical Study Conclusion Object Query Languages and Bicycles Cost - Query: Must consider installation and development challenges Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
30. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
31. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
32. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
33. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Java Compiler Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
34. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Java Compiler Java Bytecodes Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
35. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Java Compiler Java Bytecodes Collection Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
36. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Java Compiler Java Bytecodes Collection Query Executor Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
37. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Java Compiler Java Bytecodes Collection Query Executor Results Cache Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
38. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Java Compiler Java Bytecodes Collection Query Executor Results Cache Features Pre-compilation AOP with AspectJ Method Queries Caching Optimizations Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
39. Introduction Query Methods Empirical Study Conclusion JQL: Java Query Language JQL Compiler JQL File Java Source Code Java Compiler Java Bytecodes Collection Query Executor Results Cache Features Pre-compilation AOP with AspectJ Method Queries Caching Optimizations References (Willis et al. ECOOP 2006) (Willis et al. OOPSLA 2008) Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
40. Introduction Query Methods Empirical Study Conclusion JoSQL: Java Objects Structured Query Language Parse SQL Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
41. Introduction Query Methods Empirical Study Conclusion JoSQL: Java Objects Structured Query Language Parse SQL SQL String Query Object Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
42. Introduction Query Methods Empirical Study Conclusion JoSQL: Java Objects Structured Query Language Parse SQL SQL String Query Object Executable Query Collection Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
43. Introduction Query Methods Empirical Study Conclusion JoSQL: Java Objects Structured Query Language Parse SQL SQL String Query Object Executable Query Collection Query Executor Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
44. Introduction Query Methods Empirical Study Conclusion JoSQL: Java Objects Structured Query Language Parse SQL SQL String Query Object Executable Query Collection Query Executor Query Results Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
45. Introduction Query Methods Empirical Study Conclusion JoSQL: Java Objects Structured Query Language Parse SQL SQL String Query Object Executable Query Collection Query Executor Query Results Features SQL Statements String Parsing Java Reflection Query Facilities Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
46. Introduction Query Methods Empirical Study Conclusion JoSQL: Java Objects Structured Query Language Parse SQL SQL String Query Object Executable Query Collection Query Executor Query Results Features SQL Statements String Parsing Java Reflection Query Facilities Reference http://josql.sf.net Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
47. Introduction Query Methods Empirical Study Conclusion Comparison of Data Finding Methods As the number of collections and objects increases, imperative programming may lead to ap- plications that are complicated, error-prone, and hard to maintain (Xu and Rountev, ICSE 2008) Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
48. Introduction Query Methods Empirical Study Conclusion Comparison of Data Finding Methods As the number of collections and objects increases, imperative programming may lead to ap- plications that are complicated, error-prone, and hard to maintain (Xu and Rountev, ICSE 2008) JQL: Compile-Time Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
49. Introduction Query Methods Empirical Study Conclusion Comparison of Data Finding Methods As the number of collections and objects increases, imperative programming may lead to ap- plications that are complicated, error-prone, and hard to maintain (Xu and Rountev, ICSE 2008) JQL: Compile-Time JoSQL: Run-Time Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
50. Introduction Query Methods Empirical Study Conclusion Comparison of Data Finding Methods As the number of collections and objects increases, imperative programming may lead to ap- plications that are complicated, error-prone, and hard to maintain (Xu and Rountev, ICSE 2008) JQL: Compile-Time JoSQL: Run-Time Performance Trade-Offs? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
51. Introduction Query Methods Empirical Study Conclusion Comparison of Data Finding Methods As the number of collections and objects increases, imperative programming may lead to ap- plications that are complicated, error-prone, and hard to maintain (Xu and Rountev, ICSE 2008) JQL: Compile-Time JoSQL: Run-Time Performance Trade-Offs? Effectiveness Concerns? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
52. Introduction Query Methods Empirical Study Conclusion Comparison of Data Finding Methods As the number of collections and objects increases, imperative programming may lead to ap- plications that are complicated, error-prone, and hard to maintain (Xu and Rountev, ICSE 2008) JQL: Compile-Time JoSQL: Run-Time Performance Trade-Offs? Effectiveness Concerns? Benchmarking Framework Helps to Answer These Questions Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
53. Introduction Query Methods Empirical Study Conclusion Benchmarking Framework to Evaluate Query Methods Random Collection Generator Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
54. Introduction Query Methods Empirical Study Conclusion Benchmarking Framework to Evaluate Query Methods Random Collection Generator Benchmark Initializer Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
55. Introduction Query Methods Empirical Study Conclusion Benchmarking Framework to Evaluate Query Methods Random Collection Generator Benchmark Initializer Configuration Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
56. Introduction Query Methods Empirical Study Conclusion Benchmarking Framework to Evaluate Query Methods Random Collection Generator Benchmark Initializer Configuration Collection Benchmark Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
57. Introduction Query Methods Empirical Study Conclusion Benchmarking Framework to Evaluate Query Methods Random Collection Generator Benchmark Initializer Configuration Collection Benchmark Benchmark Executor Evaluation Report Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
58. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Explored a wide variety of benchmark configurations Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
59. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods What operations do we run to evaluate the query methods? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
60. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values What operations do we run to evaluate the query methods? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
61. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values Query Join Sub-Query Others What operations do we run to evaluate the query methods? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
62. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods What objects will we allocate to the JVM’s heap? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
63. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values What objects will we allocate to the JVM’s heap? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
64. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values Integers Strings Graphs Complex Objects What objects will we allocate to the JVM’s heap? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
65. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods How big should we make the objects and the collections? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
66. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values How big should we make the objects and the collections? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
67. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values Small Medium Large How big should we make the objects and the collections? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
68. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Which methods should be part of the framework? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
69. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values Which methods should be part of the framework? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
70. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values JQL JoSQL HC HC-HJ Which methods should be part of the framework? Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
71. Introduction Query Methods Empirical Study Conclusion Configuration of the Benchmarking Framework Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Operations Possible Configurations Objects Sizes Methods Parameter Values JQL JoSQL HC HC-HJ See the paper for further operator and configuration details Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
72. Introduction Query Methods Empirical Study Conclusion Analysis Techniques: Regression Tree Models Method: HC-HJ, JQL Tree Models: Recursive partitioning creates hierarchical view of data Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
73. Introduction Query Methods Empirical Study Conclusion Analysis Techniques: Regression Tree Models Method: HC-HJ, JQL 247.40 CollectionSize < 2250 Tree Models: Recursive partitioning creates hierarchical view of data Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
74. Introduction Query Methods Empirical Study Conclusion Analysis Techniques: Regression Tree Models Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector Tree Models: Recursive partitioning creates hierarchical view of data Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
75. Introduction Query Methods Empirical Study Conclusion Analysis Techniques: Regression Tree Models Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector Method CollectionSize CollectionType Explanatory Variable: Configuration of the benchmarking framework Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
76. Introduction Query Methods Empirical Study Conclusion Analysis Techniques: Regression Tree Models Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector Method CollectionSize CollectionType Categorical Non-parametric techniques that handles different variable types Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
77. Introduction Query Methods Empirical Study Conclusion Analysis Techniques: Regression Tree Models Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector Method CollectionSize CollectionType Categorical Numerical Non-parametric techniques that handles different variable types Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
78. Introduction Query Methods Empirical Study Conclusion Analysis Techniques: Regression Tree Models Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector Method CollectionSize CollectionType Categorical Numerical Method CollectionSize CollectionType Categorical Numerical 247.40 3651.00 Response Variable: Response time of the benchmark Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
79. Introduction Query Methods Empirical Study Conclusion Join Benchmark with Integers and Strings Method: HC-HJ, JQL Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
80. Introduction Query Methods Empirical Study Conclusion Join Benchmark with Integers and Strings Method: HC-HJ, JQL 247.40 CollectionSize < 2250 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
81. Introduction Query Methods Empirical Study Conclusion Join Benchmark with Integers and Strings Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
82. Introduction Query Methods Empirical Study Conclusion Join Benchmark with Integers and Strings Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector 8447.00 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
83. Introduction Query Methods Empirical Study Conclusion Join Benchmark with Integers and Strings Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector 8447.00 80720.00 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
84. Introduction Query Methods Empirical Study Conclusion Join Benchmark with Integers and Strings Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector 8447.00 80720.00 Reflection’s Impact: HC-HJ and JQL exhibit lower values than JoSQL Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
85. Introduction Query Methods Empirical Study Conclusion Join Benchmark with Integers and Strings Method: HC-HJ, JQL 247.40 CollectionSize < 2250 3651.00 CollectionType: ArrayList, Vector 8447.00 80720.00 Reflection’s Impact: LinkedList further degrades JoSQL’s performance Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
86. Introduction Query Methods Empirical Study Conclusion Impact of Object Size on Joining Small Objects Collection Size Method Small Medium Large JQL 57.2 390.2 981.8 HC-HJ 69.3 378.1 923.5 JoSQL 997.3 3620.2 8823.1 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
87. Introduction Query Methods Empirical Study Conclusion Impact of Object Size on Joining Small Objects Collection Size Method Small Medium Large JQL 57.2 390.2 981.8 HC-HJ 69.3 378.1 923.5 JoSQL 997.3 3620.2 8823.1 Large Objects Collection Size Method Small Medium Large JQL 35.4 80.8 255.4 HC-HJ 11.4 63.3 217.8 JoSQL 930.3 3107.3 8165.9 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
88. Introduction Query Methods Empirical Study Conclusion Impact of Object Size on Joining Small Objects Collection Size Method Small Medium Large JQL 57.2 390.2 981.8 HC-HJ 69.3 378.1 923.5 JoSQL 997.3 3620.2 8823.1 Large Objects Collection Size Method Small Medium Large JQL 35.4 80.8 255.4 HC-HJ 11.4 63.3 217.8 JoSQL 930.3 3107.3 8165.9 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
89. Introduction Query Methods Empirical Study Conclusion Impact of Object Size on Joining Small Objects Collection Size Method Small Medium Large JQL 57.2 390.2 981.8 HC-HJ 69.3 378.1 923.5 JoSQL 997.3 3620.2 8823.1 Large Objects Collection Size Method Small Medium Large JQL 35.4 80.8 255.4 HC-HJ 11.4 63.3 217.8 JoSQL 930.3 3107.3 8165.9 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
90. Introduction Query Methods Empirical Study Conclusion Impact of Object Size on Joining Small Objects Collection Size Method Small Medium Large JQL 57.2 390.2 981.8 HC-HJ 69.3 378.1 923.5 JoSQL 997.3 3620.2 8823.1 Large Objects Collection Size Method Small Medium Large JQL 35.4 80.8 255.4 HC-HJ 11.4 63.3 217.8 JoSQL 930.3 3107.3 8165.9 Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
91. Introduction Query Methods Empirical Study Conclusion SubQuery Benchmark with Graphs Containing Strings (LinkedList, ObjectSize = 50) Time (ms) Collection Size Large Medium Small 100 200 300 400 Technique JQL HC JoSQL Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
92. Introduction Query Methods Empirical Study Conclusion SubQuery Benchmark with Graphs Containing Strings (LinkedList, ObjectSize = 50) Time (ms) Collection Size Large Medium Small 100 200 300 400 Technique JQL HC JoSQL JQL is Faster Than HC When the Collection Size is Small and Medium Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
93. Introduction Query Methods Empirical Study Conclusion SubQuery Benchmark with Graphs Containing Strings (LinkedList, ObjectSize = 50) Time (ms) Collection Size Large Medium Small 100 200 300 400 Technique JQL HC JoSQL HC is Faster Than JQL When the Collection Size is Large Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
94. Introduction Query Methods Empirical Study Conclusion SubQuery Benchmark with Graphs Containing Strings (LinkedList, ObjectSize = 50) Time (ms) Collection Size Large Medium Small 100 200 300 400 Technique JQL HC JoSQL Why? JQL Must Track All of the Objects in the Heap Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
95. Introduction Query Methods Empirical Study Conclusion SubQuery Benchmark with Graphs Containing Strings (LinkedList, ObjectSize = 100) Time (ms) Collection Size Large Medium Small 200 400 600 800 Technique JQL HC JoSQL Trend is Even More Pronounced as the Object Size Increases Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
96. Introduction Query Methods Empirical Study Conclusion Conclusions and Future Work Concluding Remarks Comprehensive empirical study of query methods Interesting trends concerning JQL, JoSQL, HC, and HC-HJ Refer to the paper for many more insights Future Work Integrate new benchmarks and object types Consider different sizes of objects and collections Incorporate different data finding methods Leverage additional statistical analysis techniques Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
97. Introduction Query Methods Empirical Study Conclusion Conclusions and Future Work Concluding Remarks Comprehensive empirical study of query methods Interesting trends concerning JQL, JoSQL, HC, and HC-HJ Refer to the paper for many more insights Future Work Integrate new benchmarks and object types Consider different sizes of objects and collections Incorporate different data finding methods Leverage additional statistical analysis techniques Jones & Kapfhammer Allegheny College Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps
98. Ask and You Shall Receive: Empirically Evaluating Declarative Approaches to Finding Data in Unstructured Heaps Thank you for your attention! Questions? “Ask, and you will receive. Search, and you will find. Knock, and the door will be opened for you.” Matthew 7:7 (GWT) http://bible.cc/matthew/7-7.htm