Tactical query to continuous query conversion

• US 9,292,574 B2
• Filed: 03/14/2013
• Issued: 03/22/2016
• Est. Priority Date: 09/28/2012
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Hsiao, Eric, Sharma, Vishal, Santos, Adriano Covello, Gupta, Rahul
• Primary Examiner(s): Uddin, Md. I
• Application Number:
  US13/827,987
• Publication Number:
  US 20140095525A1
• Time in Patent Office: 1,104 Days
• Field of Search: 707/713, 707/759, 707/769, 707/718, 707/751, 707/758
• US Class Current: 1/1
• CPC Class Codes: B29D 2030/0682 Inner liners tubeless tyres with impervious liner or coating on the tyre B60C5/14
• CPC Class Codes: B29D 30/0681 Parts of pneumatic tyres; accessories, auxiliary operations
• CPC Class Codes: B32B 27/08 of synthetic resin
• CPC Class Codes: B32B 27/34 comprising polyamides
• CPC Class Codes: B60C 1/0008 Compositions of the inner liner
• CPC Class Codes: B60C 5/14 with impervious liner or coating on the inner wall of the tyre
• CPC Class Codes: G06F 16/242 Query formulation
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/2453 Query optimisation
• CPC Class Codes: G06F 16/24535 of sub-queries or views
• CPC Class Codes: G06F 16/24539 using cached or materialised query results
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/24553 of query operations
• CPC Class Codes: G06F 16/2456 Join operations
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/2474 Sequence data queries, e.g. querying versioned data
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/25 Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/9024 : Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/951 : Indexing; Web crawling techniques

Abstract

Techniques for managing tactical query to continuous query conversion are provided. In some examples, a tactical query configured to enable the pulling of business event data from a database to a query engine may be determined. For example, a query engine may be configured with the tactical query. The configuration may be based at least in part on an indication of the business event data to be displayed. Further, in some examples, a conversion of the tactical query to a continuous query may be enabled. The conversion or enablement of the conversion may be based at least in part on a request.

Claims

1. A system, comprising:

a memory storing a plurality of instructions; and

one or more processors configured to access the memory, wherein the one or more processors are further configured to execute the plurality of instructions to at least;

configure, based at least in part on an indication of business event data to be displayed, a query engine with a tactical query, the tactical query configured to enable pulling the business event data from a database to the query engine;

receive, from a user, a first request to generate an active visualization of the business event data only for the user, the first request to activate the visualization comprising at least a request to collapse the business event data into one or more objects and to update the one or more objects based at least in part on a user-specified time interval;

enable, based at least in part on the first request, conversion, at runtime, of the tactical query to a continuous query configured to enable a stream of the business event data to be pushed to the query engine and to generate one or more hybrid queries for executing with a combination of the continuous query and a scheduled database query;

register a listening service to receive data pushed from the stream of the business event data;

execute the continuous query against the stream of business event data;

receive, during execution of the continuous query, a second request to change a dimension of the continuous query;

change the dimension of the continuous query via a dashboard at runtime based at least in part on the second request; and

provide a user interface configured to display the active visualization of the business event data pushed from the stream to the query engine based at least in part on the execution of the continuous query against the stream of business event data.

2. The system of claim 1, wherein the continuous query is configured to receive data that is pushed from the stream to the listening service associated with the query engine.

3. The system of claim 1, wherein the tactical query is configured to pull data on behalf of the query engine.

4. The system of claim 1, wherein the user is associated with the data to be displayed.

5. The system of claim 4, wherein the first request is received via a user interface configured to display the data to be displayed to the user.

6. The system of claim 4, wherein the first request includes at least one of a data window, a data range, a filter value, or a dimension change associated with the user.

7. A computer-readable memory storing a plurality of instructions executable by one or more processors, the plurality of instructions comprising:

instructions that cause the one or more processors to determine a tactical query for querying business event data of a user from a database, the tactical query configured to enable pulling the business event data from the database to a query engine;

instructions that cause the one or more processors to configure the query engine with the tactical query;

receive, from the user, a first request to generate an active visualization of the business event data only for the user, the first request to activate the visualization comprising at least a request to collapse the business event data into one or more objects and to update the one or more objects based at least in part on a user-specified time interval;

instructions that cause the one or more processors to convert, at runtime, the tactical query to a continuous query configured to enable pushing of streaming business event data of the user to the query engine and to enable generation of one or more hybrid queries for executing with a combination of the continuous query and a scheduled database query;

instructions that cause the one or more processors to register a listening service to receive data pushed from the stream of the business event data;

instructions that cause the one or more processors to execute the continuous query against the streaming business event data;

instructions that cause the one or more processors to receive, during execution of the continuous query, a second request to change a dimension of the continuous query;

instructions that cause the one or more processors to change the dimension of the continuous query via a dashboard at runtime based at least in part on the second request; and

instructions that cause the one or more processors to provide a user interface configured to display the active visualization based at least in part on data pushed to the query engine based at least in part on the execution of the continuous query against the streaming business event data.

8. The computer-readable memory of claim 7, wherein the tactical query is converted to the continuous query based at least in part on the first request to generate the active visualization of the business event data.

9. A computer-implemented method, comprising:

determining, by a computing system, a tactical query configured to enable pulling business event data from a database to a query engine;

configuring, based at least in part on an indication of the business event data to be displayed, the query engine with the tactical query;

receiving a first request, from a user associated with the business event data, associated with generating an active visualization of the business event data only for the user, the first request to activate the visualization comprising at least a request to collapse the business event data into one or more objects and to update the one or more objects based at least in part on a user-specified time interval;

converting at runtime, by the computing system at runtime, the tactical query to a continuous query configured to enable a stream of the business event data of the user to be pushed to the query engine and to enable generation of one or more hybrid queries for executing with a combination of the continuous query and a scheduled database query;

registering a listening service to receive data pushed from the stream of the business event data;

executing the continuous query against the stream of business event data;

receiving, during execution of the continuous query, a second request to change a dimension of the continuous query;

changing the dimension of the continuous query via a dashboard at runtime based at least in part on the second request; and

providing a user interface configured to display the active visualization based at least in part on the streaming business event data pushed to the query engine.

10. The computer-implemented method of claim 9, further comprising receiving a third request to apply a filter to the continuous query or to change a dimension of the continuous query.

11. The computer-implemented method of claim 9, wherein the first request associated with generating the active visualization of the business event data comprises a sliding window configuration specified by the user.