CN112347167A - Data processing method and device, electronic equipment and storage medium - Google Patents
Data processing method and device, electronic equipment and storage medium Download PDFInfo
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- CN112347167A CN112347167A CN202011065027.0A CN202011065027A CN112347167A CN 112347167 A CN112347167 A CN 112347167A CN 202011065027 A CN202011065027 A CN 202011065027A CN 112347167 A CN112347167 A CN 112347167A
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- 238000003672 processing method Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 30
- 238000004590 computer program Methods 0.000 claims description 5
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- 238000010586 diagram Methods 0.000 description 5
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/219—Managing data history or versioning
Abstract
The embodiment of the invention provides a data processing method, a data processing device, electronic equipment and a storage medium, wherein a first request for acquiring data sent by a data requester is received, a second request for acquiring a data processing task and an operating environment depended by the data processing task is sent to the data requester, and when the data processing task and the operating environment corresponding to the second request returned by the data requester are received, a mirror image environment corresponding to the operating environment is called from a mirror image warehouse, and the data processing task is executed in the mirror image environment to return a data processing result to the data requester, so that a data waiting period can be reduced, and a work process of the data requester is accelerated.
Description
Technical Field
The present invention belongs to the field of data processing technologies, and in particular, to a data processing method and apparatus, an electronic device, and a storage medium.
Background
At present, as the application of cloud data is popularized, a set of data scenes shared by a plurality of terminals is increased, so that for a data provider, a one-to-many data use scene generally appears, at present, in order to deal with a high concurrency scene, the solution of the data provider is to establish a message queue, when a data requester submits a request for acquiring data, the request is queued, and the data requester is informed to estimate the data acquisition time, and the data requester can use the data by setting a timing task to avoid the high concurrency scene of the data request, so that the waiting time of the data requester is too long, and bad experience is caused.
However, only one set of data can be provided by the data provider, and although the data requester can avoid waiting for a long time by setting the form of using the data by the timing task, the problem of too long data waiting period still exists, and the work progress of the data requester is affected.
Disclosure of Invention
The invention provides a data processing method, a data processing device, electronic equipment and a storage medium, and aims to solve the problem that the working process of a data requester is influenced by overlong waiting data period in the prior art.
In a first aspect, an embodiment of the present invention provides a data processing method, where the method includes:
receiving a first request for acquiring data sent by a data requester;
sending a second request for acquiring a data processing task and an operating environment on which the data processing task depends to the data requester;
when a data processing task and a running environment corresponding to the second request returned by the data requester are received, calling a mirror image environment corresponding to the running environment from a mirror image warehouse;
and executing the data processing task in the mirror image environment to return a data processing result to the data requester.
Optionally, the method further comprises:
establishing a corresponding relation between the data processing task and the data processing result;
and storing the data processing tasks, the data processing results and the corresponding relation between the data processing tasks and the data processing results into a historical database.
Optionally, before the invoking the mirror environment corresponding to the running environment from the mirror repository, the method further includes:
searching a data processing result corresponding to the data processing task from the historical database;
and if the data processing result corresponding to the data processing task is found in the historical database, sending the data processing result to the data requester.
Optionally, when the data management side updates the data, the history database is initialized to delete the data processing tasks and the data processing results stored in the history database.
Optionally, the method further comprises:
receiving a plurality of requests for updating data sent by a data maintainer;
determining a target request for updating data without a dependency relationship in the plurality of requests;
and updating the data according to the target request.
Optionally, the method further comprises:
determining a third request for updating the data with the dependency relationship in the plurality of requests;
and determining the update priority of the third request according to the data to be updated corresponding to the third request, so as to update the data according to the update priority of the third request.
Optionally, the data comprises: the data updating method comprises data A to be updated and data B to be updated, wherein the data A to be updated depends on the data B to be updated, and the updating priority of a request for updating the data B to be updated is higher than the updating priority of the request for updating the data A to be updated.
In a second aspect, an embodiment of the present invention provides a data processing apparatus, including:
the receiving module is used for receiving a first request for acquiring data, which is sent by a data requesting party;
a sending module, configured to send a second request for acquiring a data processing task and an operating environment on which the data processing task depends to the data requester;
the calling module is used for calling the mirror image environment corresponding to the running environment from the mirror image warehouse when receiving the data processing task and the running environment corresponding to the second request returned by the data requester;
and the return module is used for executing the data processing task in the mirror image environment so as to return a data processing result to the data requester.
In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory stores a computer program operable on the processor, and the processor implements the method according to the first aspect when executing the computer program.
In a third aspect, an embodiment of the present invention provides a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to execute the method of the first aspect.
In the technical scheme provided by the embodiment of the invention, by receiving a first request for acquiring data sent by a data requester, sending a second request for acquiring a data processing task and an operating environment depended by the data processing task to the data requester, and when receiving the data processing task and the operating environment corresponding to the second request returned by the data requester, calling a mirror image environment corresponding to the operating environment from a mirror image warehouse, and executing the data processing task in the mirror image environment to return a data processing result to the data requester, the waiting data period can be reduced, and the work process of the data requester can be accelerated.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a data processing method according to an embodiment of the present invention;
FIG. 2 is a flow diagram of another data processing method of an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Before describing the flow of the data processing method provided by the embodiment of the invention, the data processing method in the prior art is briefly described:
with the popularization of the application of cloud data, a set of data scenes shared by multiple terminals is increased, so that one-to-many data use scenes generally appear for a data provider. In the prior art, in order to cope with a high concurrency scene, a data provider establishes a message queue, enqueues a request when a data requester submits the request for acquiring data, and notifies the data requester to estimate data acquisition time, and the data requester can use the data in a form of setting a timing task so as to avoid the high concurrency scene of the data request, so that the waiting time of the data requester is too long, and bad experience is caused.
However, in the data processing flow of the prior art, only one set of data can be provided by the data provider, and although the data requester can avoid waiting for a long time by setting the form of using the data by the timing task, the problem of too long waiting time still exists, and the work process of the data requester is affected.
Based on this, the technical problem to be solved by the invention is as follows: how to solve the problem of too long waiting time of a data requester. Therefore, a data processing method provided in an embodiment of the present invention is specifically shown in fig. 1, which is a flowchart of a data processing method provided in an embodiment of the present invention, and as shown in fig. 1, the method includes:
In this step, the data requestor may be understood as a data subscriber. The data may include cloud data, e.g., the cloud data may include user behavior data, etc.
In the embodiment of the invention, each step is executed by the data provider. After the data provider obtains the first request sent by the data requester, the data provider can execute the following steps to return the data required by the data requester.
In this step, the data processing task may be understood as a task corresponding to the data requester processing the acquired data. The runtime environment is used to indicate an environment for placing the semi-compiled executable code on the target machine for running, wherein the runtime environment includes, but is not limited to, an operating system, XP, Linux, and runtime environments corresponding to various languages.
In the embodiment of the present invention, by executing step 102, the data provider can obtain the data processing task and the operating environment on which the data processing task depends, and by obtaining the data processing task and the operating environment on which the data processing task depends, a subsequent step queries a data processing result corresponding to the data processing task from the history database, or invokes a mirror image environment corresponding to the operating environment from the mirror image repository, so that the data processing task can be executed in the mirror image environment.
103, when receiving the data processing task and the operating environment corresponding to the second request returned by the data requester, searching a data processing result corresponding to the data processing task from the historical database, and if the data processing task and the operating environment are searched, executing step 104; if not, go to step 105.
In this step, after a data provider can obtain a data processing task and an operating environment on which the data processing task depends, first, a data processing result corresponding to the data processing task needs to be searched from a historical database, and if the data processing result corresponding to the data processing task is found in the historical database, the data processing result is sent to the data requester; if the data processing result corresponding to the data processing task is not found in the historical database, then the execution step 105 calls a mirror image environment corresponding to the operating environment from a mirror image warehouse, and executes the data processing task in the mirror image environment, so as to return the data processing result to the data requester.
In the embodiment of the present invention, through step 103, the data processing result is obtained according to different manners, so that the problem of increasing the time for obtaining the data processing result due to the mirror image environment still being invoked when the historical database stores the data processing result corresponding to the data processing task can be avoided, thereby effectively reducing the data waiting period and accelerating the work process of the data requesting party.
Before step 103, the method further includes: establishing a corresponding relation between the data processing task and the data processing result; and storing the data processing tasks, the data processing results and the corresponding relation between the data processing tasks and the data processing results into a historical database.
In the embodiment of the invention, the data processing task, the data processing result and the corresponding relation between the data processing task and the data processing result are stored in the historical database, so that when the data processing task corresponding to the second request returned by the data requester is received, the data processing result corresponding to the data processing task can be searched from the historical database, the data processing task is prevented from being executed in the mirror image environment, the time for acquiring the data processing result is shortened, and the data waiting period is effectively reduced.
And 104, if the data processing result corresponding to the data processing task is found in the historical database, sending the data processing result to the data requester, and ending the process.
And 105, if the data processing result corresponding to the data processing task is not found in the historical database, calling a mirror image environment corresponding to the operating environment from a mirror image warehouse.
In this step, the mirroring environment can be understood as the same environment as the execution environment established in the data provider.
In the embodiment of the present invention, the mirror image environment corresponding to the operating environment is called from the mirror image repository, so that the subsequent step 106 can execute the data processing task in the mirror image environment, so as to return the data processing result to the data requester.
And 106, executing the data processing task in the mirror image environment to return a data processing result to the data requester.
In the embodiment of the invention, if the data processing result corresponding to the data processing task is not found in the historical database, the data provider executes the data processing task in the mirror image environment to return the data processing result to the data requester, so that compared with the prior art, the data waiting period of the data requester is avoided, and the working process of the data requester is improved.
Further, the method further comprises:
In the embodiment of the invention, after each piece of data is updated, the data supplier generates the request corresponding to the data and sends the request to the data supplier, so that the data supplier receives a plurality of requests for updating the data sent by the data maintainer and executes the subsequent data processing flow based on the requests.
And step 108, determining a target request for updating the data without the dependency relationship in the plurality of requests.
In this step, the dependency is used to indicate a dependency between data, for example, the data includes: the data updating method comprises data A to be updated and data B to be updated, wherein the data A to be updated depends on the data B to be updated, and the data A to be updated and the data B to be updated have a dependency relationship.
In the embodiment of the present invention, since the request for updating the data without dependency does not affect the data processing result when the data is updated, step 108 needs to be executed to determine the target request for updating the data without dependency from the plurality of requests.
In this step, the target request includes a request to update data for which no dependency exists.
In the embodiment of the present invention, since the request for updating the data without dependency relationship does not affect the data processing result when updating the data, step 109 needs to be executed to update the data according to the target request.
It should be noted that, when the data management side updates the data, the history database is initialized to delete the data processing tasks and the data processing results stored in the history database.
Further, as shown in fig. 2, after step 109, the method further includes:
and step 110, determining a third request for updating the data with the dependency relationship in the plurality of requests.
In the embodiment of the present invention, since the request for updating the data with dependency relationship may affect the data processing result when the data is updated, step 110 needs to be performed to determine a third request for updating the data with dependency relationship, which is left in the plurality of requests.
Step 111, determining an update priority of the third request according to the data to be updated corresponding to the third request, so as to update the data according to the update priority of the third request.
In this step, the data includes: the data updating method comprises data A to be updated and data B to be updated, wherein the data A to be updated depends on the data B to be updated, and the updating priority of a request for updating the data B to be updated is higher than the updating priority of the request for updating the data A to be updated.
In the embodiment of the present invention, for example, the data to be updated includes data a to be updated and data B to be updated, if the update priority of the request for updating the data B to be updated is higher than the update priority of the request for updating the data a to be updated, the data corresponding to the data B to be updated is updated first according to the third request, and the data corresponding to the request for updating the data a is updated. The data updating method based on the updating priority can improve the data updating efficiency, so that the accuracy of the data processing result is ensured when the acquired data processing task is processed after the data is updated.
In the technical scheme provided by the embodiment of the invention, a first request for acquiring data sent by a data requester is received, a second request for acquiring a data processing task and an operating environment depending on the data processing task is sent to the data requester, when the data processing task and the operating environment corresponding to the second request returned by the data requester are received, a mirror image environment corresponding to the operating environment is called from a mirror image warehouse, and the data processing task is executed in the mirror image environment so as to return a data processing result to the data requester, so that the data waiting period can be reduced, and the work process of the data requester is accelerated.
Fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention, as shown in fig. 2, including:
the receiving module 01 is configured to receive a first request for acquiring data, which is sent by a data requester;
a sending module 02, configured to send, to the data requester, a second request for acquiring a data processing task and an operating environment on which the data processing task depends;
the processing module 03 is configured to, when receiving a data processing task and a running environment corresponding to the second request, which are returned by the data requestor, call a mirror environment corresponding to the running environment from a mirror repository;
and the execution module 04 is configured to execute the data processing task in the mirror image environment, so as to return a data processing result to the data requester.
Fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device includes: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the data processing method in the embodiment of the method when executing the program stored in the memory.
In the electronic device provided by the embodiment of the invention, the processor receives the first request for acquiring data sent by the data requester, sends the second request for acquiring the data processing task and the operating environment depended on by the data processing task to the data requester, calls the mirror image environment corresponding to the operating environment from the mirror image warehouse when receiving the data processing task and the operating environment corresponding to the second request returned by the data requester, and executes the data processing task in the mirror image environment so as to return the data processing result to the data requester, so that the data waiting period can be reduced, and the work process of the data requester can be accelerated. The communication bus 1140 mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 1140 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The communication interface 1120 is used for communication between the electronic device and other devices.
The memory 1130 may include a Random Access Memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The processor 1110 may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of data processing, the method comprising:
receiving a first request for acquiring data sent by a data requester;
sending a second request for acquiring a data processing task and an operating environment on which the data processing task depends to the data requester;
when a data processing task and a running environment corresponding to the second request returned by the data requester are received, calling a mirror image environment corresponding to the running environment from a mirror image warehouse;
and executing the data processing task in the mirror image environment to return a data processing result to the data requester.
2. The data processing method of claim 1, further comprising:
establishing a corresponding relation between the data processing task and the data processing result;
and storing the data processing tasks, the data processing results and the corresponding relation between the data processing tasks and the data processing results into a historical database.
3. The data processing method according to claim 2, wherein before the invoking of the mirror environment corresponding to the runtime environment from the mirror repository, further comprising:
searching a data processing result corresponding to the data processing task from the historical database;
and if the data processing result corresponding to the data processing task is found in the historical database, sending the data processing result to the data requester.
4. The data processing method according to claim 2, wherein the history database is initialized to delete the data processing tasks and the data processing results stored in the history database when the data manager updates the data.
5. The data processing method of claim 1, further comprising:
receiving a plurality of requests for updating data sent by a data maintainer;
determining a target request for updating data without a dependency relationship in the plurality of requests;
and updating the data according to the target request.
6. The data processing method of claim 5, further comprising:
determining a third request for updating the data with the dependency relationship in the plurality of requests;
and determining the update priority of the third request according to the data to be updated corresponding to the third request, so as to update the data according to the update priority of the third request.
7. The data processing method of claim 6, wherein the data comprises: the data updating method comprises data A to be updated and data B to be updated, wherein the data A to be updated depends on the data B to be updated, and the updating priority of a request for updating the data B to be updated is higher than the updating priority of the request for updating the data A to be updated.
8. A data processing apparatus, comprising:
the receiving module is used for receiving a first request for acquiring data, which is sent by a data requesting party;
a sending module, configured to send a second request for acquiring a data processing task and an operating environment on which the data processing task depends to the data requester;
the calling module is used for calling the mirror image environment corresponding to the running environment from the mirror image warehouse when receiving the data processing task and the running environment corresponding to the second request returned by the data requester;
and the return module is used for executing the data processing task in the mirror image environment so as to return a data processing result to the data requester.
9. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and the processor executes the computer program to implement the method of any one of claims 1 to 7.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1 to 7.
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