Techniques for dynamic data processing

• US 8,843,435 B1
• Filed: 03/12/2009
• Issued: 09/23/2014
• Est. Priority Date: 03/12/2009
• Status: Active Grant

• Current Assignee: Pegasystems Incorporated
• Original Assignee: Pegasystems Incorporated
• Inventors: Trefler, Alan, Clinton, John, Replogle, Mark
• Primary Examiner(s): Perveen, Rehana
• Assistant Examiner(s): Hoffler, Raheem
• Application Number:
  US12/381,523
• Time in Patent Office: 2,021 Days
• Field of Search: None
• US Class Current: 707/600
• CPC Class Codes: G06F 16/21 Design, administration or maintenance of databases
• CPC Class Codes: G06F 16/24552 Database cache management
• CPC Class Codes: G06F 16/289 Object oriented databases
• CPC Class Codes: H04L 67/01 Protocols

Abstract

Described are techniques for processing an instance of a data structure. A request to process an instance of a data structure at a first point in time is received. At least one of the data elements in the data structure is a dynamic data element that uses an association specifying how to access data for the dynamic data element in accordance with criteria evaluated using a current context determined at a point in time. In response to receiving the request, first processing is performed including determining whether the dynamic data element is referenced at the first point in time, and, if so, evaluating the criteria using a current context determined at the first point in time, and retrieving data for the dynamic data element in accordance with a current context determined at the first point in time.

Claims

1. A computer-implemented method for processing an instance of a data structure comprising:

receiving, at a first point in time, a request to create an instance of a data structure, the data structure comprising one or more data elements, wherein at least one of the data elements is a dynamic data element that uses an association specifying how to retrieve data for the dynamic data element in accordance with criteria, said criteria being evaluated using a current context determined at a point in time;

in response to receiving said request, performing first processing including allocating storage for any data elements in the data structure which are not dynamic data elements, wherein said first processing does not include allocating storage for the dynamic data element and does not include processing to retrieve data for said dynamic data element using said association unless it is determined that said dynamic data element is referenced at said first point in time in connection with a triggering event using said dynamic data element;

detecting a reference to said dynamic data element at a second point in time in connection with the triggering event at said second point in time; and

in response to said detecting, performing second processing, said second processing including;

allocating storage for said dynamic data element if not previously allocated at said first point in time;

evaluating said criteria at said second point in time using a current context determined at said second point in time; and

retrieving data for said dynamic data element in accordance with said association being evaluated using said current context at said second point in time.

2. The method of claim 1, wherein said criteria uses one or more parameters which are evaluated in accordance with a current context at each point in time when said dynamic data element is referenced.

3. The method of claim 2, wherein at least one of said parameters is a value of another data element in said instance of the data structure.

4. The method of claim 2, wherein at least one of said parameters is based on a date associated with a time at which said dynamic data element is referenced.

5. The method of claim 1, wherein data for said dynamic data element is stored in a persistent data store.

6. The method of claim 5, wherein said data is retrieved from said persistent data store to create the instance of the data structure in a session cache for at least one client.

7. The method of claim 6, wherein a different session cache is used for each client.

8. The method of claim 7, wherein a copy of said instance is stored in a global cache used by a plurality of client sessions.

9. The method of claim 8, wherein each of said plurality of client sessions corresponds to a different client connected to a server and said global cache is used as a server cache by said plurality of client sessions.

10. The method of claim 1, wherein said data structure is an object in an object-oriented environment.

11. The method of claim 10, wherein said object is an instance of a class, and each data element associated with said object represents any of an attribute and property of the class.

12. The method of claim 10, wherein a definition for said data structure is included in a definition of a class, said class being included in a class structure.

13. The method of claim 12, wherein said dynamic data element is included in a second class definition that is defined at a same level in the class structure as said class.

14. The method of claim 1, wherein said evaluating said criteria at said second point in time results in identifying an existing instance of a data entity which is retrieved from a data store by said retrieving.

15. The method of claim 1, wherein said association is an explicit association specifying a single data access description identifying how to retrieve said data for said dynamic data element in accordance with said current context at said second point in time.

16. The method of claim 1, wherein said association is a conditional association including a plurality of conditions and corresponding data access descriptions, wherein if one of said conditions evaluates to true, a selected one of the corresponding data access descriptions is used to retrieve data for the dynamic data element.

17. The method of claim 1, wherein said association is a derived association including a single data access description identifying how to retrieve data for said dynamic data element in accordance with said current context at said second point in time, said derived association including one or more values which are further processed at said second point in time in order to retrieve data for the dynamic data element.

18. The method of claim 17, wherein said derived association includes a plurality of data values which are further processed in accordance with an operation identified in said derived association.

19. The method of claim 18, wherein said operation includes performing any of a mathematical operation and a string operation on at least a portion of said plurality of data values.

20. The method of claim 18, wherein said operation uses any of forward chaining and backward chaining inference methods.

21. The method of claim 1, wherein said association includes a data access description that identifies how to retrieve said data for said dynamic data element, wherein said data access description includes an item that depends upon at least one of said criteria.

22. The method of claim 21, wherein said item is a key included in a database query and the key has a value determined in accordance with a parameter included in said criteria, said parameter having a value determined in accordance with a current context at a point in time when said dynamic data element is referenced.

23. The method of claim 21, wherein said data access description identifies at least one of a database to be accessed in connection with said retrieving, a location of a database, and a protocol.

24. The method of claim 1, wherein said association is included in metadata for the dynamic data clement.

25. The method of claim 24, wherein as a result of performing said second processing, a portion of said metadata is updated.

26. The method of claim 1, wherein said data structure represents a work item in a business process.

27. The method of claim 26, wherein said business process is managed by any of a public and private entity.

28. The method of claim 27, wherein said business process is a process in one of a plurality of areas, said plurality of areas including telecommunications, government, insurance, insurance claims processing, insurance application renewal, insurance underwriting, finance, loan processing, healthcare, automotive, retail product sales, clothing, marketing, computer services, food and restaurant industry, consumer sales and services, purchasing a product or service, returning a previously purchased item, submitting a complaint or problem report requiring resolution, ensuring compliance with government rules and regulations, and inventory update and purchasing.

29. The method of claim 1, wherein in connection with said second processing, said data for said dynamic data element corresponds to a first data instance, and, if said first data instance is already loaded into memory, said first data instance already loaded into memory is used in connection with said retrieving, and otherwise additional processing is performed to load said first data instance into memory.

30. The method of claim 1, wherein said dynamic data element is referenced at said first point in time and said criteria is evaluated in accordance with a current context at said first point in time to access data for the dynamic data element, wherein said first processing includes determining that data for said dynamic data element corresponds to a first data instance of a first class or type.

31. The method of claim 30, wherein said second processing determines that data for said dynamic data element corresponds to a second data instance of said first class or type.

32. The method of claim 1, wherein said triggering event includes any of displaying a user interface with the dynamic data element contained therein, performing rule processing, determining that data for said dynamic data element is not already loaded into virtual memory, determining that data for said dynamic data element is not already loaded into a session cache or a server cache, and determining that a cached copy of data for said dynamic data element is no longer valid in accordance with an expiration time.

33. The method of claim 1, wherein said association is included in a declarative page, and said declarative page is used in connection with said referencing to retrieve said data for said dynamic data element.

34. The method of claim 33, wherein said declarative page is referenced during processing of said dynamic data element in connection with a workflow process.

35. The method of claim 33, wherein said declarative page is updated to change how data for said dynamic data element is accessed, wherein said change includes using at least one of:

a different criterion, a different condition, a different parameter, and a different data access description.

36. The method of claim 34, wherein said declarative page is defined in a declarative page definition, and said workflow process is defined in a workflow process definition that is separate from said declarative page definition.

37. The method of claim 1, wherein a server receives said request from a client to create an instance of the data structure, and wherein said server performs said first processing and said second processing.

38. The method of claim 1, wherein at least one of the data structure and the dynamic data element is a database table.

39. The method of claim 1, wherein one of the data structure and the dynamic data element is an object and another of the data structure and the dynamic data element is a database table.

40. The method of claim 38, wherein the database table is in a normalized form.

41. A computer readable medium comprising executable code stored thereon for processing an instance of a data structure, the computer readable medium comprising executable code for:

receiving, at a first point in time, a request to create an instance of a data structure, the data structure comprising one or more data elements, wherein at least one of the data elements is a dynamic data element that uses an association specifying how to retrieve data for the dynamic data element in accordance with criteria, said criteria being evaluated using a current context determined at a point in time;

in response to receiving said request, performing first processing including allocating storage for any data elements in the data structure which are not dynamic data elements, wherein said first processing does not include allocating storage for the dynamic data element and does not include processing to retrieve data for said dynamic data element using said association unless it is determined that said dynamic data element is referenced at said first point in time in connection with a triggering event using said dynamic data element;

detecting a reference to said dynamic data element at a second point in time in connection with the triggering event at said second point in time; and

in response to said detecting, performing second processing, said second processing including;

allocating storage for said dynamic data element if not previously allocated at said first point in time;

evaluating said criteria at said second point in time using a current context determined at said second point in time; and

retrieving data for said dynamic data element in accordance with said association being evaluated using said current context at said second point in time.