KR101896297B1 - Method for processing based on flow using split task, system and apparatus - Google Patents

Abstract

The present invention relates to a method for performing processing based on a flow using a split task. The present invention is to provide a method for efficiently performing processing based on a flow by generating various result values by individually processing data by at least two sub flows in a middle process of the flow. According to an embodiment of the present invention, the method for processing based on a flow using a split task includes: a step of receiving a main flow including a first sub flow and at least two second sub flows connected to the first sub flow, wherein the first sub flow and at least two second sub flows include at least a task; a step of generating a first sub flow result by performing the first sub flow based on task processing order determined in advance; and a step of permitting at least two second sub flows to use the first sub flow result.

Description

Technical Field [0001] The present invention relates to a method, system, and apparatus for performing flow-based processing using a split task.

The present invention relates to database processing, and more particularly to flow-based processing through a database hub.

In order to process large amounts of data, different types or distributed databases are frequently used at the same time, and there is an increasing demand for database integration and processing for user convenience.

The Data Virtualization platform is a platform that integrates various databases and helps users to derive meaningful analysis results. The data virtualization platform provides virtual data consolidation, design for flexible data analysis, and high-volume data processing optimization.

The data virtualization platform can receive and process flows combining various tasks from a user. The data virtualization platform can generate an execution plan for processing data in various DBMS modules by analyzing flows that contain only simple information. In addition, the data virtualization platform can execute the generated execution plan and obtain the results from the DBMS.

The flows that are processed in the data virtualization platform are configured to produce a single result. Particularly, in a case where a large number of tasks are included in a flow, a task is required to be capable of generating a plurality of result values by a single flow.

The purpose of the present disclosure is to propose a method for efficiently processing flow-based processing by processing data by at least two sub-flows each in the middle of a flow to generate multiple results.

According to an exemplary embodiment of the present disclosure, there is provided a method of performing flow-based processing comprising the steps of: receiving a first sub-flow and at least two second sub-flows connected to the first sub- wherein the first subflow and the second at least two subflows comprise at least one task; Generating a first sub-flow result by performing the first sub-flow based on a predetermined task processing order; And allowing the at least two second subflows to utilize the first subflow result value; Based processing that includes < RTI ID = 0.0 > a < / RTI >

A computer program stored in a computer-readable storage medium including encoded instructions, in accordance with another exemplary embodiment of the present disclosure, when executed by one or more processors of a computer system, To cause processors to perform operations to perform flow-based processing, the operations comprising: receiving a main flow comprising a first sub-flow and at least two second sub-flows coupled to the first sub-flow; The first sub-flow and the second sub-flow comprising at least one task; The first subflow being performed based on a predetermined task processing order to generate a first subflow result; And allowing the at least two second sub-flows to utilize the first sub-flow results; And a computer-readable storage medium having stored thereon a computer program product.

According to another exemplary embodiment of the present disclosure, there is provided a server for performing flow-based processing, comprising: a hub module; The hub module comprising: a flow receiver for receiving a main flow comprising a first sub-flow and at least two second sub-flows connected to the first sub-flow, the first sub-flow and the second sub- Comprises at least one task; Wherein the first sub-flow is performed based on a predetermined task processing order to generate a first sub-flow result value, and the at least two second sub-flows allow the first sub-flow result value to be used; To provide a server for performing flow-based processing.

With the present disclosure, it is possible to efficiently process flow-based processing by processing data by at least two sub-flows each in the middle of the flow to generate multiple result values.

1 is a diagram for explaining a method of performing flow-based processing according to an embodiment of the present invention.
FIG. 2 illustrates a method of performing a main flow including a third subflow according to an embodiment of the present invention. Referring to FIG.
FIG. 3 illustrates an exemplary main flow including a first subflow, a second subflow, and a third subflow according to an embodiment of the present invention.
4A to 4C illustrate a system for performing flow-based processing according to an embodiment of the present invention.
5 shows an exemplary block diagram of a hub module according to an embodiment of the present invention.
Figure 6 illustrates a block diagram of an exemplary computing device for implementing a method for performing flow-based processing in accordance with an embodiment of the invention.

Various embodiments and / or aspects are now described with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will also be appreciated by those of ordinary skill in the art that such aspect (s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of one or more aspects. It is to be understood, however, that such aspects are illustrative and that some of the various ways of practicing various aspects of the principles of various aspects may be utilized, and that the description set forth is intended to include all such aspects and their equivalents.

In addition, various aspects and features will be presented by a system that may include multiple devices, components and / or modules, and so forth. It should be understood that the various systems may include additional devices, components and / or modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in connection with the drawings Must be understood and understood.

As used herein, the terms "an embodiment," "an embodiment," " an embodiment, "" an embodiment ", etc. are intended to indicate that any aspect or design described is better or worse than other aspects or designs. . As used herein, the terms 'component,' 'module,' 'system,' 'interface,' and the like generally refer to a computer-related entity and include, for example, hardware, And software.

In addition, the term "or" is intended to mean " exclusive or " That is, it is intended to mean one of the natural inclusive substitutions "X uses A or B ", unless otherwise specified or unclear in context. That is, X uses A; X uses B; Or when X uses both A and B, "X uses A or B" can be applied to either of these cases. It should also be understood that the term "and / or" as used herein refers to and includes all possible combinations of one or more of the listed related items.

It is also to be understood that the term " comprises "and / or" comprising " means that the feature and / or component is present, but does not exclude the presence or addition of one or more other features, components and / It should be understood that it does not. Also, unless the context clearly dictates otherwise or to the contrary, the singular forms in this specification and claims should generally be construed to mean "one or more. &Quot;

Before describing the embodiments of the present invention in detail, it is to be understood that the present invention is not limited to the above-described embodiments, but may be modified and changed without departing from the scope and spirit of the invention. It is also to be understood that the terminology or words used in the present specification and claims should be interpreted with reference to the meaning of the inventive concept of the present invention based on the principle that the inventor can define the concept of appropriate terms to describe his invention in the best way It should be interpreted as a concept.

1 is a diagram for explaining a method of performing flow-based processing according to an embodiment of the present invention.

In one embodiment of the present invention, a method for performing flow-based processing includes a first sub-flow and at least two second sub-flows coupled to the first sub-flow, And receiving a main flow. Wherein the first sub-flow and at least two second sub-flows may include at least one task.

A task may be an operation for analyzing data. Specifically, a task may include operations to extract data from a database, or to process the data to obtain results. For example, a task may include operations such as Join, Filter, Sort, FileWrite, and FileRead. However, the present invention is not limited to this, and the task may include various operations.

The main flow may be a combination of tasks. More specifically, the main subflow may include a task for extracting data from a database, a task for processing the extracted data, and a task for processing the processed data under a predetermined condition. For example, in order to analyze abnormal yields between processes and use them for process improvement, a task of extracting data on interprocess processes from the production management system database and extracting data on the temperature / pressure of the equipment from the equipment engineering system database And a task for extracting a process in which an abnormal temperature / pressure is generated by processing the extracted two data, and the like can be generated. However, the present invention is not limited to this, and the main flow may include a combination of various tasks.

For user convenience, the main flow can be generated by a simple interface so that useful results can be obtained from the DBMS even when the user does not know exactly which database or table is the physical storage. For example, the main flow may be generated in a manner that creates and combines a plurality of tasks by a GUI-like interface. However, the present invention is not limited to this, and the main flow may be generated by various methods.

The main flow may include at least one sub-flow. Here, the subflow may be a combination of tasks included in the main flow. In an exemplary embodiment, FIG. 3 shows an exemplary main flow. The main flow of FIG. 3 includes six subflows 200, 210, 220, 230, 240, 250. Each sub-flow may include some of a plurality of tasks included in the main flow. 3, the first sub-flow 200 may include three tasks 201, 202, and 203, and the second sub-flows 210, 220, and 230 may include 1 One or two tasks.

The subflow can be determined according to a predetermined condition when the main flow is generated. For example, in the case where a combination of any one of the tasks is performed and the resultant value generated can be used by a combination of other tasks, the sub-flow can be determined by a combination of the tasks. As shown in FIG. 3, the resultant value generated by combining the tasks of 201, 202, and 203 can be used for a combination of 211 task combinations, 221 and 222 task combinations, and 231 and 232 tasks . Therefore, combinations of tasks of 201, 202, and 203 can be determined to be the first subflow, and combinations of tasks 221, 221, and 221 that can use the result of the first subflow, tasks 231 and 232 May be determined as the second sub-flow, respectively. In another embodiment, after each of the plurality of sub-flows is determined by combining a plurality of tasks, a generated main flow may be generated by combining the generated plurality of sub-flows. However, the present invention is not limited to this, and the main flow and the subflow can be determined by various methods.

The generated main flow can be used to generate an execution plan. Here, the execution plan may be an instruction (e.g., a query statement) that can be processed in the DBMS module 3000. Since the main flow is generated using only simple information for user convenience (for example, by specifying information necessary for data analysis using the user interface and defining conditions), the DBMS module A query or the like that can be processed in the database 3000 is required. The main flow may be used to generate an execution plan for processing data in the DBMS module 3000.

The generated main flow can be sent to various modules to create an execution plan. For example, the main flow generated at the user terminal 1000 may be transmitted to the hub module, and the hub module 2000 may utilize the received main flow to generate the execution plan. However, the present invention is not limited to this, and the main flow can be used to generate an execution plan in various ways.

In one embodiment of the present invention, a method of performing flow-based processing includes generating a first sub-flow result (110) by performing a first sub-flow based on a predetermined task processing order ).

The hub module 2000 may generate an execution plan based on the received main flow and obtain at least one result value from the DBMS module 3000. The hub module 2000 can perform tasks included in the main flow based on a predetermined task processing order. According to one embodiment, as shown in FIG. 3, the tasks included in the main flow may be performed in a concatenated order (e.g., in the order of 201, 202, 203) to produce a result. Thus, a first sub-flow may be performed first and a first sub-flow result may be generated by the tasks 201, 202, 203 included in the first sub-flow. However, the present invention is not limited to this, and the first sub-flow can be performed by various methods.

The first sub-flow result may include the result generated by the first sub-flow being performed. For example, the first sub-flow result value may include results obtained by processing, combining, and combining data from the DBMS module by performing tasks included in the first sub-flow. However, the present invention is not limited to this, and the first sub-flow result value may include data generated by various methods.

In one embodiment of the invention, a method for performing flow-based processing may include the step 120 of allowing at least two second sub-flows to use a first sub-flow result value.

The second sub-flow may be a sub-flow connected to the first sub-flow among the sub-flows included in the main flow. As shown in FIG. 3, the three subflows 210, 220, 230 connected to the first subflow 200 may be a second subflow. The hub module may allow the second sub-flow to use the first flow result generated by the first sub-flow. Specifically, the hub module may allow the second sub-flow to use the first sub-flow result according to the configuration of the received main flow. The hub module may perform a first sub-flow to generate a first sub-flow result and allow the second sub-flow to use a first sub-flow result according to the configuration of serially connected sub-flows. However, without being limited thereto, the hub module may allow the second sub-flow to use the first sub-flow result in various ways.

The second sub-flow allowed to use the first sub-flow result value may perform the task included in the sub-flow using the first sub-flow result value. However, in some cases, it may be limited that the second sub-flow uses the first sub-flow result. For example, if only a portion of the second sub-flow is determined to use the first sub-flow result value by the information contained in the first split task, then the determined sub-flow out- May not be available.

In one embodiment of the invention, the first sub-flow may include a first split task. The first split task may include information for determining a second sub-flow using the first sub-flow result value. For example, the first split task may extract data about the temperature of the equipment from the equipment engineering system database and cause the second sub-flow 210 to use the first sub-flow result value if the value of the extracted data is a normal value And may include determining information. In addition, the first split task may include information for determining that the second sub-flows 220 and 230 use the first sub-flow result value if the value of the extracted data is an abnormal value. However, the present invention is not limited to this, and the first split task may include various information.

From the user interface perspective, the first split task may be included in the first subflow and used to connect the second subflow in the process of creating the main flow. For example, in the case where the first split task is selected as the last task of the first sub-flow, a user interface can be provided to the user that can set a plurality of second sub-flows. 3, in a case where a task 203, which is a first split task, is selected and connected to a subflow constituted by tasks 201 and 202 in a user interface for creating a main flow, A user interface may be provided to create and connect subflows (e.g., 210, 220, and 230). However, without being limited thereto, the first split task may be used to connect the first subflow and the second subflow in various ways.

In one embodiment of the invention, a method for performing flow-based processing includes at least one of at least two second sub-flows being performed based on a predetermined task processing order, thereby generating at least one second sub- and generating a flow result. The starting task included in the second subflow performed here may use the first subflow result value.

The hub module may perform tasks included in the second subflow based on a predetermined task processing order. In this case, the tasks included in each of the second sub-flows may be performed in the connected order to generate the result value. In particular, the starting task of the second sub-flow determined to use the first sub-flow result value may process the first sub-flow as an input of the result. For example, if the second sub-flows 220 and 230 are determined to use the first sub-flow result value, the start task 221 of the second sub-flow 220 and the start task 231 of the second sub- The result value can be processed as an input. However, the present invention is not limited to this, and the second sub-flow may be performed by various methods.

The second sub-flow result may include a result generated by performing the second sub-flow. For example, the second sub-flow result value may include results obtained by processing, combining, and combining data from the DBMS module by performing tasks included in the second sub-flow. However, the second sub-flow result value may include data generated by various methods.

The method of performing the flow-based processing of the present invention may generate a plurality of result values by concatenating at least two second sub-flows in one first sub-flow. For example, a first sub-flow may be configured to perform tasks that need to be performed identically, and at least two of the second sub-flows may each be configured to perform a different task. Thus, the flow-based processing of the present invention can be efficiently performed by reducing the execution of repetitive flows.

In one embodiment of the present invention, a method for performing flow-based processing may further comprise storing a subflow included in the main flow. The method of performing flow-based processing may further include calling at least one of the stored sub-flows.

Each sub-flow included in the main flow may be performed separately and used to generate individual result values. The hub module 2000 may store these sub-flows separately. Hub module 2000 may call at least one of the stored sub-flows. The called sub-flow can be used in various ways. For example, at least one called subflow may be used to create a new main flow. More specifically, the first sub-flow 200 and the second sub-flow 220 in the sub-flow can be called and combined into a new main flow. In yet another embodiment, the second subflow 210 and the second subflow 230 may be invoked to combine the second subflow 210 into a new main flow coupled to the second subflow 230. However, without being limited thereto, stored sub-flows may be used to create new main flows in a variety of ways.

In addition, when only a result value generated in a specific sub-flow is required, the hub module 2000 calls only a specific sub-flow among the stored sub-flows, and then outputs the result to the user. For example, if a second sub-flow result of the second sub-flow 230 is required, only the second sub-flow 230 may be called and performed. However, the present invention is not limited to this, and the stored sub-flows may be recalled and used in various ways.

In one embodiment of the invention, a method for performing flow-based processing comprises the steps of: determining to invoke at least one sub-flow included in a main flow and, if so, And generating at least one result value by being performed based on the determined task processing order.

FIG. 2 illustrates a method of performing a main flow including a third subflow according to an embodiment of the present invention. Referring to FIG.

In one embodiment of the invention, the main flow may further comprise at least two third subflows connected to at least one of the two second subflows. In this case, a method of performing flow-based processing may include allowing at least two third sub-flows to utilize a second sub-flow result value generated by a second sub-flow coupled to the at least two third sub- (Step 140).

The third sub-flow may be a sub-flow connected to the second sub-flow among the sub-flows included in the main flow. As shown in FIG. 3, the two subflows 240 and 250 connected to the second subflow 220 may be a third subflow. The hub module may allow the third sub-flow to utilize the second flow result value generated by the second sub-flow that the third sub-flow is connected to. Specifically, the hub module may allow the third sub-flow to use the second sub-flow result according to the configuration of the received main flow. The hub module performs a second sub-flow according to the configuration of the sequentially connected sub-flows to generate a second sub-flow result, and the third sub-flow connected to the second sub-flow uses the second sub- Can be accepted. However, without being limited thereto, the hub module may allow the second sub-flow to use the first sub-flow result in various ways.

The third sub-flow allowed to use the first sub-flow result value may perform the task included in the sub-flow using the second sub-flow result value. However, in some cases, it may be limited that the third sub-flow uses the second sub-flow result value. For example, if it is determined by the information contained in the second split task that only a portion of the third sub-flow will use the second sub-flow result value, then the determined sub- May not be available.

In an embodiment of the invention, the second sub-flow may include a second split task. The second split task may include information for determining a third sub-flow using the second sub-flow result value. For example, the second split task extracts data about the temperature of the equipment from the equipment engineering system database, and if the value of the extracted data is a normal value, then the third sub-flow 240 is the second sub- And may use information to determine to use the flow result value. In addition, the second split task may include information for determining that the third subflow 250 uses the second subflow result of the second subflow 220 if the value of the extracted data is an abnormal value. However, the present invention is not limited to this, and the second split task may include various information.

From the user interface point of view, the second split task may be included in the second subflow and used to connect the third subflow in the process of creating the main flow. For example, in the case where the first split task is selected as the last task of the first sub-flow, a user interface capable of setting a plurality of third sub-flows may be provided to the user. 3, in a case where a task 222 as a second split task is selected and connected to a subflow configured as a task 221 in a user interface for generating a main flow, a plurality of third subflows (For example, 240 and 250) may be provided and a user interface may be provided. However, without being limited thereto, the second split task can be used to connect the second subflow and the third subflow in various ways.

In one embodiment of the present invention, a method for performing flow-based processing includes at least one of at least two third subflows being performed based on a predetermined task processing order, thereby generating at least one third subflow result value (Second sub and generating a flow result (step 150). The starting task included in the third subflow performed herein may use the second subflow result value of the connected second subflow.

The hub module 2000 may perform tasks included in the third subflow based on a predetermined task processing order. In this case, the tasks included in each of the third sub-flows may be performed in the connected order to generate the resultant value. Particularly, the start task of the third sub-flow determined to use the second sub-flow result value can process the second sub-flow as an input of the result value. For example, if a third sub-flow 240 is determined to use the second sub-flow result of the connected second sub-flow 220, the start task 241 of the third sub- The flow result value can be processed as input. However, the present invention is not limited to this, and the third sub-flow can be performed by various methods.

The third sub-flow result value may include a result value generated by performing the third sub-flow. For example, the third sub-flow result value may include results obtained by processing, combining, and combining data from the DBMS module by performing tasks included in the third sub-flow. However, the present invention is not limited to this, and the third sub-flow result value may include data generated by various methods.

A method of performing the flow-based processing of the present invention includes concatenating at least two second sub-flows in one first sub-flow and concatenating at least two third sub-flows in either of the second sub- Lt; RTI ID = 0.0 > a < / RTI > Thus, the flow-based processing of the present invention can be efficiently performed by reducing the execution of repetitive flows.

FIG. 3 illustrates an exemplary main flow including a first subflow, a second subflow, and a third subflow according to an embodiment of the present invention.

A task may be an operation for analyzing data. Specifically, a task may include operations to extract data from a database, or to process the data to obtain results. For example, a task may include operations such as Join, Filter, Sort, FileWrite, and FileRead. However, the present invention is not limited to this, and the task may include various operations.

The main flow may be a combination of tasks. More specifically, the main subflow may include a task for extracting data from a database, a task for processing the extracted data, and a task for processing the processed data under a predetermined condition. For example, in order to analyze abnormal yields between processes and use them for process improvement, a task of extracting data on interprocess processes from the production management system database and extracting data on the temperature / pressure of the equipment from the equipment engineering system database And a task for extracting a process in which an abnormal temperature / pressure is generated by processing the extracted two data, and the like can be generated. However, the present invention is not limited to this, and the main flow may include a combination of various tasks.

For user convenience, the main flow can be generated by a simple interface so that useful results can be obtained from the DBMS even when the user does not know exactly which database or table is the physical storage. For example, the main flow may be generated in a manner that creates and combines a plurality of tasks by a GUI-like interface. However, the present invention is not limited to this, and the main flow may be generated by various methods.

The main flow may include at least one sub-flow. Here, the subflow may be a combination of tasks included in the main flow. In an exemplary embodiment, FIG. 3 shows an exemplary main flow. The main flow of FIG. 3 includes six subflows 200, 210, 220, 230, 240, 250. Each sub-flow may include some of a plurality of tasks included in the main flow. 3, the first sub-flow 200 may include three tasks 201, 202, and 203, and the second sub-flows 210, 220, and 230 may include 1 One or two tasks.

The subflow can be determined according to a predetermined condition when the main flow is generated. For example, in the case where a combination of any one of the tasks is performed and the resultant value generated can be used by a combination of other tasks, the sub-flow can be determined by a combination of the tasks. As shown in FIG. 3, the resultant values generated by combining the tasks 201, 202, and 203 can be used for a task combination 211, a combination of tasks 221 and 222, and a combination of tasks 231 and 232. Therefore, combinations of tasks of 201, 202, and 203 can be determined to be the first subflow, and combinations of tasks 221, 221, and 221 that can use the result of the first subflow, tasks 231 and 232 Each combination may be determined to be a second sub-flow. In a similar manner, the two subflows 240, 250 coupled to the second subflow 220 may be determined to be the third subflow. In another embodiment, after each of the plurality of sub-flows is determined by combining a plurality of tasks, a generated main flow may be generated by combining the generated plurality of sub-flows. However, the present invention is not limited to this, and the main flow and the subflow can be determined by various methods.

The generated main flow can be used to generate an execution plan. Here, the execution plan may be an instruction (e.g., a query statement) that can be processed in the DBMS module 3000. Since the main flow is generated using only simple information for user convenience (for example, by specifying information necessary for data analysis using the user interface and defining conditions), the DBMS module A query or the like that can be processed in the database 3000 is required. The main flow may be used to generate an execution plan for processing data in the DBMS module 3000.

A method of performing the flow-based processing of the present invention includes concatenating at least two second sub-flows in one first sub-flow and concatenating at least two third sub-flows in either of the second sub- Lt; RTI ID = 0.0 > a < / RTI > Thus, the flow-based processing of the present invention can be efficiently performed by reducing the execution of repetitive flows.

4A to 4C illustrate a system for performing flow-based processing according to an embodiment of the present invention.

As shown in FIGS. 4A-4C, the system may include a user terminal 1000 and a database server 3100, and may optionally include a database hub device 2100. The user terminal 1000, the database hub device 2100, and the database server 3100 may be interconnected by any network (not shown).

As shown in Figures 4A-4C, user terminal 1000 may refer to node (s) in a database system having a mechanism for communicating over a network. For example, the user terminal 1000 may include a PC, a laptop computer, a workstation, a terminal, and / or any electronic device having network connectivity. In addition, the user terminal 1000 may include any server implemented by at least one of an agent, an application programming interface (API), and a plug-in. In addition, the user terminal 1000 may include an application source and / or a client application.

User terminal 1000 may be any entity capable of processing and storing any data, including a processor and a memory. In addition, the user terminal 1000 in Figures 4A-4C may be associated with a user who uses the database server 3100 or communicates with the database server 3100. [ In this example, the user terminal 1000 may issue a query to the database server 3100 via the hub module 2000. In one example, the user terminal 1000 may compile via the hub module 2000 to the database server 3100 and deliver the rewritten query.

The user terminal 1000 may provide an interface for generating a main flow. For example, the user terminal 1000 may provide an interface for creating a main flow in the form of a GUI. In addition, the user terminal 1000 may include a hub module as shown in FIG. 4B.

Database server 3100 may include any type of computer system or computer device, such as, for example, a microprocessor, mainframe computer, digital processor, portable device, and device controller. The database server 3100 may include a DBMS module 3000 and persistent storage. In addition, the database server 3000 may include a hub module 2000 as shown in 4a.

The database hub device 2100 may include a hub module 2000 as shown in FIG. When the hub module 2000 is included in the database hub device 2100, the hub module is connected to the user terminal 1000 and the database server 3100 via a network (not shown) included in the database hub device 2100 .

Although one database server and one user terminal are illustrated by way of example in FIGS. 4A-4C, it is to be appreciated that more database servers (management devices) and user terminals may also be included within the scope of the present invention. And will be apparent to those of ordinary skill in the art.

Although not shown in Figures 4A-4C, the user terminal 1000, the database hub device 2100, and the database server 3100 may include one or more memories including a buffer cache. Also, although not shown in Figures 4A-4C, the user terminal 1000, the database hub device 2100, and the database server 3100 may include one or more processors. Thus, hub module 2000 and DBMS module 3000 may be operated by the processor on the memory.

Here, the memory is a main storage device directly accessed by the processor, such as a random access memory (RAM) such as a dynamic random access memory (DRAM), a static random access memory (SRAM) Volatile storage devices that are erased instantaneously, but are not limited to these. Such a memory may be operated by control of the processor. The memory may temporarily store a data table containing data values. The data table may include a data value, and in one embodiment of the present disclosure, the data value of the data table may be written to the persistent storage medium from memory. In a further aspect, the memory includes a buffer cache, wherein data may be stored in a data block of the buffer cache. The data may be written to a persistent storage medium by a background process.

The persistent storage medium may be any data such as, for example, magnetic disks, optical disks, and magneto-optical storage devices, as well as storage devices based on flash memory and / or battery- Non-volatile storage medium capable of continuously performing the operation. The persistent storage medium may communicate with the processor and memory of the database server 3100 via various communication means. In a further embodiment, such persistent storage medium may be located external to the database server 3100 and may be capable of communicating with the database server 3100. 4A to 4C show only one persistent storage medium and one DBMS, a form in which a plurality of DBMSs are connected to one persistent storage medium or a form including a plurality of persistent storage media is also included in the scope of the present invention .

The DBMS module 3000 is a program for allowing the database server 3100 to perform operations such as retrieving, inserting, modifying, and / or deleting necessary data, Processor.

The user terminal 1000 and the database server 3100 can communicate with each other through a network (not shown). In addition, when the system includes the database hub device 2100, the user terminal 1000 and the database server 3100 or the database hub device 2100 can communicate with each other via a network (not shown). The network according to an exemplary embodiment of the present invention may be a Public Switched Telephone Network (PSTN), a Digital Subscriber Line (xDSL), a Rate Adaptive DSL (RADSL), a Multi Rate DSL (MDSL) ), Universal Asymmetric DSL (UADSL), High Bit Rate DSL (HDSL), and Local Area Network (LAN).

In addition, the network presented in this specification can be applied to various wireless communication systems such as Code Division Multi Access (CDMA), Time Division Multi Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single Carrier- ), And other systems. Additionally, the network may include a database link (dblink), whereby a plurality of database servers may communicate with each other via this database link to fetch data from another database management device. The techniques described herein may be used in other networks as well as in the networks mentioned above.

5 illustrates an exemplary block diagram of a hub module 2000 in accordance with an embodiment of the present invention.

5, the hub module 2000 may include a flow receiving unit 500 and a control unit 510. [ The components of the hub module 2000 shown in FIG. 5 are exemplary, some of which may be omitted, or additional components may be present.

In one embodiment of the present invention, the flow receiver 500 includes a main flow (including a first subflow) and at least two second subflows connected to the first subflow Main flow). Wherein the first sub-flow and at least two second sub-flows may include at least one task. In another embodiment, the main flow may further comprise at least two third subflows connected to at least two of the second subflows.

The control unit 510 can generate the first sub flow result by performing the first sub-flow based on the predetermined task processing order. The control unit 510 may include allowing at least two second subflows to use the first subflow result value. Wherein the first sub-flow may comprise a first split task. Also, the control unit 510 may generate at least one second sub-flow result by performing at least two second sub-flows based on the predetermined task processing order.

The control unit 510 may allow at least two third subflows to utilize the second subflow result value generated by the second subflow that is coupled to the third subflow. Here, the second sub-flow connected to the third sub-flow may include a second split task. In addition, the control unit 510 may include generating at least one third sub-flow result by performing at least one of the third sub-flows based on the predetermined task processing order.

The control unit 510 may determine to call at least one subflow included in the main flow. The control unit 510 may cause the called at least one sub-flow to be performed based on the predetermined task processing order, so as to generate at least one result value.

Figure 6 illustrates a block diagram of an exemplary computing device for implementing a method for performing flow-based processing in accordance with an embodiment of the invention.

Although the present invention has been described above generally in terms of features that may be executed on a computer or processor within one or more servers, those skilled in the art will appreciate that the invention may be implemented in combination with other program modules and / You will know.

Generally, program modules include routines, programs, components, data structures, etc. that perform particular tasks or implement particular abstract data types. It will also be appreciated by those skilled in the art that the methods of the present invention may be practiced with other computer systems, such as single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, handheld computing devices, microprocessor-based or programmable consumer electronics, And may operate in conjunction with one or more associated devices).

The described embodiments of the invention may also be practiced in distributed computing environments where certain tasks are performed by remote processing devices connected through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

Computers typically include a variety of computer readable media. Any medium accessible by a computer may be a computer-readable medium, which may include volatile and non-volatile media, transitory and non-transitory media, removable and non-removable media, Removable media. By way of example, and not limitation, computer readable media can comprise computer readable storage media and computer readable transmission media.

Computer-readable storage media includes both volatile and non-volatile media, both temporary and non-volatile media, both removable and non-removable, implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data Media. The computer-readable storage medium may be any form of storage device such as RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital video disk (DVD) or other optical disk storage, magnetic cassette, magnetic tape, Apparatus, or any other medium that can be used to store the desired information that can be accessed by a computer.

Computer readable transmission media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, It includes all information delivery media. The term modulated data signal refers to a signal that has one or more of its characteristics set or changed to encode information in the signal. By way of example, and not limitation, the transmit and receive (communication) media include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of any of the above described media are also intended to be included within the scope of computer readable transmission media.

6 illustrates an exemplary environment for implementing various aspects of the invention including a computing device 602 for implementing a method for performing the flow-based processing of the present invention, Device 604, system memory 606, and system bus 608. The system bus 608 couples system components, including but not limited to, the system memory 606 to the processing unit 604. The processing unit 604 may be any of a variety of commercially available processors. Dual processors and other multiprocessor architectures may also be used as the processing unit 604.

The system bus 608 may be any of several types of bus structures that may additionally be interconnected to a local bus using any of the memory bus, peripheral bus, and various commercial bus architectures. The system memory 606 includes a read only memory (ROM) 610 and a random access memory (RAM) The basic input / output system (BIOS) is stored in a non-volatile memory 610, such as a ROM, EPROM, or EEPROM, which may be used to assist in transferring information between components within the computing device 602, It contains basic routines. The RAM 612 may also include a high speed RAM such as static RAM for caching data.

The computing device 602 may also be configured for external use within an appropriate chassis (not shown), such as an internal hard disk drive (HDD) 614 (e.g., EIDE, SATA) ), A magnetic floppy disk drive (FDD) 616 (e.g., for reading from or writing to a removable diskette 618), and an optical disk drive 620 (e.g., a CD- For reading the disc 622 or reading from or writing to other high capacity optical media such as DVD). The hard disk drive 614, magnetic disk drive 616 and optical disk drive 620 are connected to the system bus 608 by a hard disk drive interface 624, a magnetic disk drive interface 626 and an optical drive interface 628, respectively. . The interface 624 for external drive implementation includes at least one or both of USB (Universal Serial Bus) and IEEE 1394 interface technologies.

These drives and their associated computer-readable storage media provide nonvolatile storage of data, data structures, computer-executable instructions, and the like. In the case of computing device 602, the drives and media correspond to storing any data in a suitable digital format. Although the description of the above computer-readable storage medium refers to a removable optical medium such as a HDD, a removable magnetic disk, and a CD or a DVD, those skilled in the art will appreciate that a zip drive, magnetic cassette, flash memory card, Or the like may also be used in the exemplary operating environment and any such medium may include computer-executable instructions for carrying out the methods of the present invention.

A number of program modules, including an operating system 630, one or more application programs 632, other program modules 634, and program data 636, may be stored in the drive and RAM 612. Here, the program module 634 may include a hub module 2000. The program module 634 may also include a DBMS module 3000. All or a portion of the operating system, applications, modules, and / or data may also be cached in RAM 612. It will be appreciated that the present invention may be implemented in a variety of commercially available operating systems or combinations of operating systems.

A user may enter commands and information into the computing device 602 via one or more wired / wireless input devices, e.g., a pointing device, such as a keyboard 638 and a mouse 640. [ Other input devices (not shown) may include a microphone, IR remote control, joystick, game pad, stylus pen, touch screen, and so on. Although these and other input devices are often connected to the processing unit 604 through an input device interface 642 that is coupled to the system bus 608, it is also possible to use a parallel port, an IEEE 1394 serial port, a game port, a USB port, ≪ / RTI > and so forth.

A monitor 644 or other type of display device is also connected to the system bus 608 via an interface, such as a video adapter 646, as well. In addition to the monitor 644, the computer typically includes other peripheral output devices (not shown) such as speakers, printers, and the like.

Computing device 602 may operate in a networked environment using logical connections to one or more remote computers, such as remote computer (s) 648 via wired and / or wireless communication. The remote computer (s) 648 may be a workstation, a server computer, a router, a personal computer, a portable computer, a microprocessor-based entertainment device, a peer device or other conventional network node, But for the sake of simplicity, only memory storage device 650 is shown. The logical connections depicted include a wired / wireless connection to a local area network (LAN) 652 and / or a larger network, e.g., a wide area network (WAN) These LAN and WAN networking environments are commonplace in offices and corporations and facilitate enterprise-wide computer networks such as intranets, all of which can be connected to computer networks worldwide, for example the Internet.

When used in a LAN networking environment, the computing device 602 is connected to the local network 652 via a wired and / or wireless communication network interface or adapter 656. The adapter 656 may facilitate wired or wireless communication to the LAN 652 and the LAN 652 also includes a wireless access point installed therein to communicate with the wireless adapter 656. When used in a WAN networking environment, the computing device 602 may include a modem 658, or may be connected to a communications server on the WAN 654, or to establish communications over the WAN 654, And other means. A modem 658, which may be an internal or external and a wired or wireless device, is connected to the system bus 608 via a serial port interface 642. In a networked environment, program modules depicted relative to computing device 602, or portions thereof, may be stored in remote memory / storage device 650. It will be appreciated that the network connections shown are exemplary and other means of establishing a communication link between the computers may be used.

The computing device 602 may be any wireless device or entity that is deployed and operated in wireless communication, such as a printer, a scanner, a desktop and / or portable computer, a portable data assistant (PDA) To any associated equipment or location, and to communication with the phone. This includes at least Wi-Fi and Bluetooth wireless technology. Thus, the communication may be a predefined structure, such as in a conventional network, or simply an ad hoc communication between at least two devices.

Wi-Fi (Wireless Fidelity) allows you to connect to the Internet without wires. Wi-Fi is a wireless technology such as a cell phone that allows such devices, e.g., computers, to transmit and receive data indoors and outdoors, i. E. Anywhere within the coverage area of a base station. Wi-Fi networks use a wireless technology called IEEE 802.6 (a, b, g, etc.) to provide a secure, reliable and high-speed wireless connection. Wi-Fi can be used to connect computers to each other, the Internet, and a wired network (using IEEE 802.3 or Ethernet). The Wi-Fi network can operate in unlicensed 2.4 and 5 GHz wireless bands, for example, at 6 Mbps (802.6a) or 54 Mbps (802.6b) data rates, or in products containing both bands have.

Those skilled in the art will appreciate that the various illustrative logical blocks, modules, processors, means, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be embodied directly in electronic hardware, (Which may be referred to herein as "software") or a combination of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the design constraints imposed on the particular application and the overall system. Those skilled in the art may implement the described functionality in various ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The various embodiments presented herein may be implemented as a method, apparatus, or article of manufacture using standard programming and / or engineering techniques. The term "article of manufacture" includes a computer program, carrier, or media accessible from any computer-readable device. For example, the computer-readable medium can be a magnetic storage device (e.g., a hard disk, a floppy disk, a magnetic strip, etc.), an optical disk (e.g., CD, DVD, etc.), a smart card, But are not limited to, devices (e. G., EEPROM, cards, sticks, key drives, etc.). The term "machine-readable medium" includes, but is not limited to, various other mediums capable of storing and / or retaining instruction (s) and / or data.

It will be appreciated that the particular order or hierarchy of steps in the presented processes is an example of exemplary approaches. It will be appreciated that, based on design priorities, certain orders or hierarchies of steps in processes may be rearranged within the scope of the present invention. The appended method claims provide elements of the various steps in a sample order, but are not meant to be limited to the specific order or hierarchy presented.

The description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features presented herein.

Claims (10)

A method for performing flow-based processing using a hub module,
Receiving a main flow including a first sub flow and at least two second sub flows connected to the first sub flow through a flow receiving unit; One sub-flow and the at least two second sub-flows comprising at least one task;
Generating a first subflow result through a controller by performing the first subflow based on a predetermined task processing procedure; And
Allowing the at least two second subflows to use the first subflow result value through the control;
Lt; / RTI >
Wherein the first sub-flow includes a first split task, the first split task including information for determining a second sub-flow using a first sub-
A method for performing flow-based processing.
delete The method according to claim 1,
Generating at least one second sub-flow result through the controller by performing at least one of the at least two second sub-flows based on a predetermined task processing order;
/ RTI >
A method for performing flow-based processing.
The method of claim 3,
The main flow includes:
At least two third subflows connected to any one of said at least two second subflows;
Further comprising:
Allowing the at least two third sub-flows to use the second sub-flow result value generated by a second sub-flow coupled to the at least two third sub-flows;
/ RTI >
A method for performing flow-based processing.
5. The method of claim 4,
The second sub-flow coupled to the at least two third sub-flows comprises a second split task, and the second split task comprises a second sub-flow for determining a third sub-flow using the second sub- Information includes -,
A method for performing flow-based processing.
5. The method of claim 4,
Generating at least one third subflow result through the controller by performing at least one of the at least two third subflows based on a predetermined task processing order;
/ RTI >
A method for performing flow-based processing.
The method according to claim 1 or 4,
Storing the subflow included in the main flow through the hub module after receiving the main flow;
≪ / RTI >
A method for performing flow-based processing.
8. The method of claim 7,
Calling at least one of the stored sub-flows through the control unit;
≪ / RTI >
A method for performing flow-based processing.
21. A computer program stored in a computer-readable storage medium including encoded instructions, the computer program being executable by one or more processors of a computer system to cause the one or more processors to perform flow-based processing To perform operations, the operations comprising:
The method comprising: receiving a main flow comprising a first sub-flow and at least two second sub-flows connected to the first sub-flow, the first sub-flow and the second sub-flow comprising at least one task;
The first subflow being performed based on a predetermined task processing order to generate a first subflow result; And
Allowing the at least two second subflows to use the first subflow result;
/ RTI >
Wherein the first sub-flow includes a first split task, the first split task including information for determining a second sub-flow using a first sub-
A computer program stored in a computer-readable storage medium.
1. A server for performing flow-based processing,
Hub module;
/ RTI >
The hub module comprises:
A flow receiver for receiving a main flow comprising a first subflow and at least two second subflows connected to the first subflow, the first subflow and the second subflow comprising at least one task, ;
Wherein the first sub-flow is performed based on a predetermined task processing order to generate a first sub-flow result value, and the at least two second sub-flows allow the first sub-flow result value to be used;
Lt; / RTI >
Wherein the first sub-flow includes a first split task, the first split task including information for determining a second sub-flow using a first sub-
A server for performing flow-based processing.

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