Processing an input query

Patent metadata

Field	Value
Publication number	US-10007702-B2
Application number	US-201414324109-A
Country	US
Kind code	B2
Filing date	Jul 4, 2014
Priority date	Dec 19, 2013
Publication date	Jun 26, 2018
Grant date	Jun 26, 2018

Abstract

An embodiment relates to a method for processing an input query comprising: building an event processing framework based on the input query by converting operators of the input query into building blocks of the event processing framework.

First claim

The invention claimed is:

1. A method for processing an input query associated with static data and dynamic data comprising:
building an event processing framework based on the input query by converting operators of the input query into building blocks of the event processing framework, and further comprising:
converting the input query to an SQL query;
building the event processing framework based on the SQL query comprising the steps of:
for the dynamic data, building blocks of the event processing framework to build a topology of the event processing framework; and
for the static data, forwarding a static data result of the SQL query to the event processing framework;

converting the static data result into a virtual data stream for forwarding together with the dynamic data to the event processing framework;
providing the virtual data stream and the dynamic data to the event processing framework; and
using the event processing framework for providing a response to the input query utilizing the dynamic data and the static data result.

2. The method according to claim 1 , wherein the input query operates on the dynamic data.

3. The method according to claim 1 , wherein the building blocks of the event processing framework comprises relational algebra operators.

4. The method according to claim 3 , wherein the relational algebra operators comprise the following:
a projection;
a selection;
a rename operation;
a cross product;
a join operation; and
a derived operation.

5. The method according to claim 1 , wherein the SQL query comprises a SPARQL query.

6. The method according to claim 1 , wherein the SQL query comprises a STARQL query.

7. The method according to claim 1 , wherein processing the input query is used for controlling a technical system.

8. A computer program product directly loadable into a memory of a digital processing device, comprising software code portions for performing the steps of the method according to claim 1 .

9. A device comprising a controlling unit that is arranged for processing the following step:
building an event processing framework based on an input query associated with static data and dynamic data by converting operators of the input query into building blocks of the event processing framework,
wherein the controlling unit is further arranged for processing the steps:
converting the input query to an SQL query;
building the event processing framework based on the SQL query comprising the steps of:
for the dynamic data, building blocks of the event processing framework to build a topology of the event processing framework; and
for the static data, forwarding a static data result of the SQL query to the event processing framework; and
the device is arranged to convert the static data result into a virtual data stream for forwarding together with the dynamic data to the event processing framework, wherein the device is further arranged to provide the virtual data stream and the dynamic data to the event processing framework; and
use the event processing framework for providing a response to the input query utilizing the dynamic data and the static data result.

10. The device according to claim 9 , wherein said device is a control device of the industrial system.

11. The device according to claim 10 , wherein the device is connected to the industrial system via a network, in particular via the Internet.

12. A system comprising at least one device according to claim 9 .

Assignees

• Siemens Ag

Inventors

• Hubauer Thomas
• Lamparter Steffen
• Roshchin Mikhail
• Watson Stuart

Classifications

• G06F16/2471

  Distributed queries · CPC title

• G06F16/2477

  Temporal data queries · CPC title

• G06F16/245

  Query processing · CPC title

• G06F16/24568 Primary

  Data stream processing; Continuous queries · CPC title

• G06F16/27

  Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor · CPC title