Rules-based compliance system
US-2015281452-A1 · Oct 1, 2015 · US
US9633075B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9633075-B2 |
| Application number | US-201414311653-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 23, 2014 |
| Priority date | Jun 23, 2014 |
| Publication date | Apr 25, 2017 |
| Grant date | Apr 25, 2017 |
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Embodiments relate to re-writing database query plans, and visualizing such re-written query plans. A query re-write framework includes a query normalization engine in communication with a rule catalog comprising query re-write rules in the form of rule classes. The framework receives as input, a query plan graph to be re-written. Based upon the engine's application of re-write rules from the catalog, the framework produces a re-written query plan graph as output. An interface component of the framework may provide a visualization of the re-written query plan graph as part of a dashboard. A user may access the framework to enable/disable existing rules in the catalog, add new rules to the catalog, and/or control a sequence and a precedence in which rules are applied to re-write the query plan. A user may interact with the visualization of the re-written query plan for purposes of de-bugging, re-write optimization, and/or query development.
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What is claimed is: 1. A computer implemented method comprising: providing an engine in communication with a rule catalog comprising a plurality of query plan re-write rules including a first query plan re-write rule specifying a top-down traversal order and a second query plan re-write rule specifying a bottom-up traversal order; causing the engine to receive a query plan as an input; causing the engine to reference the rule catalog to generate a re-written query plan by selectively applying the first query plan re-write rule to the query plan; causing the engine to store the re-written query plan in a non-transitory computer readable storage medium; causing the engine to reference the re-written query plan in order to generate a visualization comprising a graph including an operation node and a table node; and causing the engine to communicate the visualization to an interface for display in a dashboard, wherein the dashboard further includes a change log separate from the graph and reflecting changes to the re-written query plan in a format comprising an identifier of the operation node, an operation type, an updated parent node identifier, and an identifier of the query plan re-write rule. 2. A method as in claim 1 wherein the first query plan re-write rule comprises a property specifying an operator pattern. 3. A method as in claim 1 wherein the first query plan re-write rule comprises a property specifying whether the first query plan re-write rule is indispensable. 4. A method as in claim 1 further comprising: causing the engine to reference the rule catalog to generate a further re-written query plan by applying a third query plan re-write rule to the re-written query plan. 5. A method as in claim 4 wherein the third query plan re-write rule comprises a property specifying a context. 6. A method as in claim 5 wherein the context comprises a sequence of applying the third query plan re-write rule after the first query plan re-write rule. 7. A method as in claim 4 wherein the rule catalog receives a user input specifying a sequence of applying the first query plan re-write rule prior to application of the third query plan re-write rule. 8. A non-transitory computer readable storage medium embodying a computer program for performing a method, said method comprising: providing an engine in communication with a rule catalog comprising a plurality of query plan re-write rules including a first query plan re-write rule specifying a top-down traversal order and a second query plan re-write rule specifying a bottom-up traversal order; causing the engine to receive a query plan as an input; causing the engine to reference the rule catalog to generate a re-written query plan by selectively applying the first query plan re-write rule to the query plan; causing the engine to store the re-written query plan in a non-transitory computer readable storage medium; causing the engine to reference the rule catalog to generate a further re-written query plan by applying a third query plan re-write rule to the re-written query plan; causing the engine to reference the re-written query plan in order to generate a visualization comprising a graph including an operation node and a table node; and causing the engine to communicate the visualization to an interface for display in a dashboard, wherein the dashboard further includes a change log separate from the graph and reflecting changes to the re-written query plan in a format comprising an identifier of the operation node, an operation type, an updated parent node identifier, and an identifier of the query plan re-write rule. 9. A non-transitory computer readable storage medium as in claim 8 wherein the first query plan re-write rule comprises a property specifying an operator pattern. 10. A non-transitory computer readable storage medium as in claim 8 wherein the first query plan re-write rule comprises a property specifying whether the first query plan re-write rule is indispensable. 11. A non-transitory computer readable storage medium as in claim 8 wherein the third query plan re-write rule comprises a property specifying a context. 12. A non-transitory computer readable storage medium as in claim 11 wherein the context comprises a sequence of applying the third query plan re-write rule after the first query plan re-write rule. 13. A non-transitory computer readable storage medium as in claim 8 wherein the rule catalog receives a user input specifying a sequence of applying the first query plan re-write rule prior to application of the third query plan re-write rule. 14. A computer system comprising: one or more processors; a software program, executable on said computer system, the software program configured to: provide an engine in communication with a rule catalog comprising a plurality of query plan re-write rules including a first query plan re-write rule specifying a top-down traversal order and a second query plan re-write rule specifying a bottom-up traversal order; cause the engine to receive a query plan as an input; cause the engine to reference the rule catalog to generate a re-written query plan by selectively applying the first query plan re-write rule to the query plan, the first query plan re-write rule comprising a property specifying an operator pattern; cause the engine to store the re-written query plan in a non-transitory computer readable storage medium; cause the engine to reference the rule catalog to generate a further re-written query plan by applying a third query plan re-write rule to the re-written query plan; cause the engine to reference the re-written query plan in order to generate a visualization comprising a graph including an operation node and a table node; and cause the engine to communicate the visualization to an interface for display in a dashboard, wherein the dashboard further includes a change log separate from the graph and reflecting changes to the re-written query plan in a format comprising an identifier of the operation node, an operation type, an updated parent node identifier, and an identifier of the query plan re-write rule. 15. A computer system as in claim 14 wherein the first query plan re-write rule further comprises a property specifying whether the first query plan re-write rule is indispensable. 16. A computer system as in claim 14 wherein the third query plan re-write rule comprises a property specifying a context comprising a sequence of applying the third query plan re-write rule after the first query plan re-write rule. 17. A computer system as in claim 14 wherein the software program is further configured to cause the rule catalog to receive a user input specifying a sequence of applying the first query plan re-write rule prior to application of the third query plan re-write rule.
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