System and method of dynamic data object upgrades
A method, article of manufacture, and apparatus for managing a cloud computing environment. In some embodiments, this includes modifying an object or a component of an object at runtime and storing the modified object or modified component of an object in a storage device. In some embodiments, components of an object such as data structures are modified. In some embodiments, objects may have more than one version.
1. A system for updating one or more data objects stored in a data repository, comprising:
a processor configured to:
determine that a type definition associated with a first data object is not a most recent version of the first data object's current data structure; and
modify, based at least in part on one or more update policies, the first data object's current data structure in accordance with the most recent version of the first data object's data structure, wherein one or more intermediate versions of the first data object's data structure are stored in the data repository, wherein the one or more intermediate versions of the first data object's data structure were stored in the data repository after the first object's data structure and before the most recent version of the first data object's data structure, each of one or more intermediate versions of the first data object's data structure has a corresponding update policy, wherein to modify, based at least in part on one or more update policies, the first data object's data structure in accordance with the most recent version of the first data object's data structure, the processor is further configured to:
identify update policies available from the data repository that effect the most recent version of the first data object's data,
determine an optimal order of the identified update policies needed to effect the update of the first data object's data structure from its current version to the most recent version of the first data object's data structure, wherein the optimal order includes skipping at least one of the one or more intermediate versions of the first data object's data structure, and
apply the one or more update policies of the determined optimal order to the first data object's data structure; and
a memory coupled to the processor and configured to provide the processor with instructions.
2. The system of claim 1 , wherein the processor is further configured to detect a user interaction with the first data object that includes the type definition.
3. The system of claim 1 , wherein the first data object's current data structure is determined at least in part based on a current version identifier associated with the first data object.
4. The system of claim 1 , wherein the processor is further configured to:
obtain a serialized form of the first data object from the data repository; and
store the serialized form of the first data object in the data repository.
5. The system of claim 1 , wherein the data structure of the first data object includes services.
6. The system of claim 1 , wherein the processor is further configured to:
select at least one of the identified update policies in order to minimize a number of update policies which must be applied to the first data object in order to effect compliance with an upgraded type definition.
7. The system of claim 1 , wherein to modify, based at least in part on one or more update policies, the processor is configured to select and apply a smallest number of update policies necessary to effect update of the object's data structure.
8. The system of claim 1 , wherein to access the first data object comprises accessing a serialized form of the object.
9. The system of claim 8 , wherein the processor is further configured to store the modified first data object in serialized form.
10. The system of claim 1 , wherein the processor is further configured to apply the update policies based at least in part on an availability of computer resources.
11. The system of claim 1 , wherein to determine the optimal order of the identified update policies needed to effect the update of the first data object's data structure from its current version to the most recent version of the first data object's data structure further, the processor is configured to identify a subset of the identified update policies that provides the optimal order.
12. The system of claim 1 , wherein the optimal order is a non-sequential order of the one or more update policies.
13. The system of claim 1 , wherein the identified update policies of the determined optimal order are applied to the first data object's data structure based at least in part on a version order.
14. A method for updating one or more data objects stored in a data repository, comprising:
determining that a type definition associated with a first data object is not a most recent version of the first data object's current data structure;
modifying, based at least in part on one or more update policies, the first data object's current data structure in accordance with the most recent version of the first data object's data structure, wherein one or more intermediate versions of the first data object's data structure are stored in the data repository, wherein the one or more intermediate versions of the first data object's data structure were stored in the data repository after the first object's data structure and before the most recent version of the first data object's data structure, each of one or more intermediate versions of the first data object's data structure has a corresponding update policy, wherein modifying, based at least in part on one or more update policies, the first data object's data structure in accordance with the most recent version of the first data object's data structure comprises:
identifying update policies available from the data repository that effect the most recent version of the first data object's data,
determining an optimal order of the identified update policies needed to effect the update of the first data object's data structure from its current version to the most recent version of the first data object's data structure, wherein the optimal order includes skipping at least one of the one or more intermediate versions of the first data object's data structure, and
applying the one or more update policies of the determined optimal order to the first data object's data structure.
15. The method of claim 14 , wherein the first data object's current data structure is determined at least in part based on a current version identifier associated with the first data object.
16. The method of claim 14 , further comprising:
obtaining a serialized form of the first data object from the data repository; and
storing the serialized form of the first data object in the data repository.
17. The method of claim 14 , further comprising select at least one of the identified update policies in order to minimize a number of update policies which must be applied to the first data object in order to effect compliance with an upgraded type definition.
18. The method of claim 14 , wherein the optimal order comprises a fewest number of the one or more update policies available from the data repository.
19. The method of claim 14 , wherein determining the optimal order of the identified update policies needed to effect the update of the first data object's data structure from its current version to the most recent version of the first data object's data structure further includes identifying a subset of the identified update policies that provides the optimal order.
20. A computer program product, the computer program product being embodied in a tangible non-transitory computer readable medium and comprising computer instructions for:
determining that a type definition associated with a first data object is not a most recent version of the first data object's current data structure; and
modifying, based at least in part on one or more update policies, the first data object's current data structure in accordance with the most recent version of the first data object's data structure, wherein one or more intermediate versions of the first data object's data structure are stored in the data repository, wherein the one or more intermediate versions of the first data object's data structure were stored in the data repository after the first object's data structure and before the most recent version of the first data object's data structure, each of one or more intermediate versions of the first data object's data structure has a corresponding update policy, wherein modifying, based at least in part on one or more update policies, the first data object's data structure in accordance with the most recent version of the first data object's data structure comprises:
identifying update policies available from a data repository that effect the most recent version of the first data object's data, determining an optimal order of the identified update policies needed to effect the update of the first data object's data structure from its current version to the most recent version of the first data object's data structure, wherein the optimal order includes skipping at least one of the one or more intermediate versions of the first data object's data structure, and
applying the one or more update policies of the determined optimal order to the first data object's data structure.