CN113596137A - Data processing method and device based on Flink, storage medium and electronic equipment - Google Patents
Data processing method and device based on Flink, storage medium and electronic equipment Download PDFInfo
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Abstract
The application provides a data analysis method, a data analysis device, a storage medium and electronic equipment based on Flink, wherein the method comprises the following steps: detecting unpaid orders of the terminal user at the cloud end; judging whether the state maintaining time of the unpaid order exceeds a first threshold value; and if the search state maintaining time exceeds a first threshold value, pushing first guide information to the terminal user. On one hand, the method of the embodiment of the invention can perform real-time data stream processing based on the Flink, so that the information related to the unpaid order can be acquired in real time by comparing the state maintaining time of the unpaid order with the first threshold value; on the other hand, the first guiding information is pushed for the unpaid order, so that the unpaid order is changed into the paid order. Therefore, the method of the embodiment of the invention effectively overcomes the defects that the prior art can not analyze data and can not respond to the data in real time, effectively improves the value of the data and also avoids the data processing load at the terminal user side.
Description
Technical Field
The application relates to a data processing method, a data processing device, a storage medium and an electronic device, and also relates to a data analysis method, a data analysis device, a storage medium and an electronic device based on Flink.
Background
Big data technology refers to the ability to quickly obtain valuable information from a wide variety of types of data. Big data analysis refers to the analysis of data on a huge scale. Big data can be summarized as 5V, large data Volume (Volume), fast speed (Velocity), multiple types (Variety), Value (Value), and authenticity (Veracity). With the development of big data technology, the utilization of data warehouse, data security, data analysis, data mining, etc. around the business value of big data is also gradually becoming the research direction.
As the data scale is continuously increased, data analysis becomes more difficult and slower, and therefore, the value and meaning reflected by the big data cannot be obtained in time.
Disclosure of Invention
The invention aims to provide a data processing method, a data processing device and a storage medium based on Flink, which aim to solve the defects that data cannot be analyzed in real time and data cannot be responded in real time in the prior art.
In order to achieve the purpose of the present application, a data processing method based on Flink is provided, which includes: detecting unpaid orders of the terminal user at the cloud end; judging whether the state maintaining time of the unpaid order exceeds a first threshold value; and if the search state maintaining time exceeds the first threshold value, pushing first guiding information to the terminal user.
According to an embodiment of the application, the first threshold is set to any value between 20 minutes and 40 minutes.
According to an embodiment of the application, the first guiding message is a message for indirectly adjusting the amount of the order.
According to an embodiment of the present application, if the search state retention time does not exceed the first threshold, the data processing is ended.
According to an embodiment of the present application, the method for processing data based on Flink further includes: determining whether the state maintaining time of the unpaid order exceeds a second threshold value, wherein the second threshold value is larger than the first threshold value; and if the search state maintaining time exceeds the second threshold value, pushing second guiding information to the terminal user.
According to an embodiment of the application, the second threshold is set to any value between 30 minutes and 50 minutes.
According to an embodiment of the application, the difference between the second threshold and the first threshold exceeds 10 minutes.
According to an embodiment of the application, the second guidance information is information for directly adjusting the amount of the order.
According to an embodiment of the present application, if the search state maintaining time does not exceed the second threshold, the data processing is ended.
In order to achieve the object of the present application, there is also provided a Flink-based data processing apparatus including: the cloud detection module is used for detecting unpaid orders of the terminal users; the cloud judgment module is used for judging whether the state maintaining time of the unpaid order exceeds a first threshold value or not; and the first pushing module is used for pushing first guiding information to the terminal user if the search state maintaining time exceeds the first threshold value.
According to an embodiment of the application, the first threshold is set to any value between 20 minutes and 40 minutes.
According to an embodiment of the application, the first guiding message is a message for indirectly adjusting the amount of the order.
According to an embodiment of the present application, the Flink-based data processing apparatus further includes: and the terminating module is used for finishing the data processing if the maintaining time of the search state does not exceed the first threshold.
According to an embodiment of the application, the determining module is further configured to determine whether a state maintaining time of the unpaid order exceeds a second threshold, where the second threshold is greater than the first threshold; wherein the apparatus further comprises: and the second pushing module is used for pushing second guiding information to the terminal user if the search state maintaining time exceeds the second threshold value.
According to an embodiment of the application, the second threshold is set to any value between 30 minutes and 50 minutes.
According to an embodiment of the application, the difference between the second threshold and the first threshold exceeds 10 minutes.
According to an embodiment of the application, the second guidance information is information for directly adjusting the amount of the order.
According to an embodiment of the present application, the terminating module is further configured to terminate data processing if the search state maintaining time does not exceed the second threshold.
To achieve the object of the present application, there is also provided a computer-readable storage medium for storing computer program instructions which, when executed by a processor, implement the method according to the above-described embodiments.
To achieve the object of the present application, there is also provided an electronic device comprising a memory for storing one or more computer program instructions and a processor, wherein the one or more computer program instructions are executed by the processor to implement the method according to the above-mentioned embodiments.
According to the data processing method based on the Flink, on one hand, real-time data stream processing can be performed based on the Flink, so that information related to unpaid orders can be acquired in real time by comparing the state maintaining time of the unpaid orders with the first threshold value; on the other hand, the first guiding information is pushed for the unpaid order, so that the unpaid order is changed into the paid order. Therefore, the data processing method based on the Flink effectively overcomes the defects that the prior art cannot analyze data and cannot respond to the data in real time, effectively improves the value of the data, and avoids the data processing load at the terminal user side.
According to the data processing method based on the Flink in another embodiment of the invention, the second guiding information is pushed on the basis of the data processing method based on the Flink in the embodiment of the invention, so that the value of the data is further effectively improved, and the data processing load on the terminal user side is also avoided.
According to the data processing device based on the Flink, on one hand, real-time data stream processing can be performed based on the Flink, so that information related to unpaid orders can be acquired in real time by comparing the state maintaining time of the unpaid orders with the first threshold value; on the other hand, the first guiding information is pushed for the unpaid order, so that the unpaid order is changed into the paid order. Therefore, the data processing device based on the Flink in the embodiment of the invention effectively overcomes the defects that the prior art cannot analyze data and cannot respond to the data in real time, effectively improves the value of the data, and also avoids the data processing load at the terminal user side.
According to the data processing device based on the Flink in another embodiment of the invention, the second guiding information is pushed on the basis of the data processing device based on the Flink in the embodiment of the invention, so that the value of the data is further effectively improved, and the data processing load on the end user side is also avoided.
Drawings
Fig. 1 is a flowchart illustrating a data processing method based on Flink according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a data processing method based on Flink according to another embodiment of the present invention.
Fig. 3 is a block diagram of a data processing apparatus based on Flink according to an embodiment of the present invention.
Fig. 4 is a block diagram of a data processing apparatus based on Flink according to another embodiment of the present invention.
Fig. 5 is a schematic structural diagram of an electronic device for implementing the social network-based data analysis method of the present application.
Detailed Description
For a better understanding of the present application, various aspects of the present application will be described in more detail with reference to the accompanying drawings. It should be understood that the detailed description is merely illustrative of exemplary embodiments of the present application and does not limit the scope of the present application in any way. Like reference numerals refer to like elements throughout the specification. The expression "and/or" includes any and all combinations of one or more of the associated listed items.
In the drawings, the size, dimension, and shape of elements have been slightly adjusted for convenience of explanation. The figures are purely diagrammatic and not drawn to scale. As used herein, the terms "approximately", "about" and the like are used as table-approximating terms and not as table-degree terms, and are intended to account for inherent deviations in measured or calculated values that would be recognized by one of ordinary skill in the art. In addition, in the present application, the order in which the processes of the respective steps are described does not necessarily indicate an order in which the processes occur in actual operation, unless explicitly defined otherwise or can be inferred from the context.
It will be further understood that terms such as "comprising," "including," "having," "including," and/or "containing," when used in this specification, are open-ended and not closed-ended, and specify the presence of stated features, elements, and/or components, but do not preclude the presence or addition of one or more other features, elements, components, and/or groups thereof. Furthermore, when a statement such as "at least one of" appears after a list of listed features, it modifies that entire list of features rather than just individual elements in the list. Furthermore, when describing embodiments of the present application, the use of "may" mean "one or more embodiments of the present application. Also, the term "exemplary" is intended to refer to an example or illustration.
Unless otherwise defined, all terms (including engineering and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In addition, the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a flowchart illustrating a data processing method based on Flink according to an embodiment of the present invention. As shown in fig. 1, a method for processing data based on Flink according to an embodiment of the present invention may include:
In the data processing method based on the Flink in the embodiment of the invention, the Flink is tool software developed by the Apache software foundation.
According to the data processing method based on the Flink, on one hand, real-time data stream processing can be performed based on the Flink, so that information related to unpaid orders can be acquired in real time by comparing the state maintaining time of the unpaid orders with the first threshold value; on the other hand, the first guiding information is pushed for the unpaid order, so that the unpaid order is changed into the paid order. Therefore, the data processing method based on the Flink effectively overcomes the defects that the prior art cannot analyze data and cannot respond to the data in real time, effectively improves the value of the data, and avoids the data processing load at the terminal user side.
In the data processing method based on Flink according to an embodiment of the present invention, the first threshold may be set to any value between 20 minutes and 40 minutes. In the actual operation process, the whole data processing algorithm is located on the cloud side, so that the first threshold value is set through the cloud side, and unpaid orders in the whole network can be detected and processed.
In an embodiment of the data processing method based on Flink, the first guidance information may be information for indirectly adjusting the amount of the order. The first pilot information may be bundle full subtract information. For example, items associated with unpaid orders are bundled with items associated with unpaid orders, and then the total price of the two items is reduced. Specifically, if the goods related to the unpaid order are glasses, the associated goods may be glasses cases. In particular, the associated merchandise may also be other previously viewed merchandise. It should be understood by those skilled in the art that although only one associated article is listed, there may be a plurality of associated articles according to actual situations.
In an embodiment of the data processing method based on Flink according to the present invention, after the step of determining whether the status maintaining time of the unpaid order exceeds the first threshold (step 102), if the searching status maintaining time does not exceed the first threshold, the data processing is ended.
Fig. 2 is a flowchart illustrating a data processing method based on Flink according to another embodiment of the present invention. As shown in fig. 2, a method for processing data based on Flink according to another embodiment of the present invention may include:
step 205, if the search state maintaining time exceeds the second threshold, pushing second guidance information to the end user.
According to the data processing method based on the Flink in another embodiment of the invention, the second guiding information is pushed on the basis of the data processing method based on the Flink in the embodiment of the invention, so that the value of the data is further effectively improved, and the data processing load on the terminal user side is also avoided.
In another embodiment of the Flink-based data processing method according to the present invention, the second threshold is set to any value between 30 minutes and 50 minutes.
In another embodiment of the data processing method based on Flink, the difference between the second threshold and the first threshold exceeds 10 minutes. The applicants have analyzed a large amount of data to find: when the difference between the second threshold and the first threshold is less than 10 minutes, the end user often has not yet had time to respond to the first guidance message. Therefore, by setting the difference between the second threshold and the first threshold to exceed 10 minutes, the second guidance information can be effectively prevented from being pushed when the end user does not respond to the first guidance information, and the effectiveness of the first guidance information and the second guidance information is improved.
In another embodiment of the data processing method based on Flink according to the present invention, the second guidance information may be information for directly adjusting the amount of the order. The second guide information may be discount information. The second guide information reduces the price of the commodity without increasing the number or variety of the commodity compared with the first guide information.
In another embodiment of the invention, in the method for processing data based on Flink, after the step of determining whether the status maintaining time of the unpaid order exceeds the first threshold (step 202), if the searching status maintaining time does not exceed the first threshold, the data processing is ended.
In another embodiment of the invention, in the method for processing data based on Flink, after the step of determining whether the status maintaining time of the unpaid order exceeds the second threshold (step 204), if the searching status maintaining time does not exceed the second threshold, the data processing is ended.
Fig. 3 is a block diagram of a data processing apparatus based on Flink according to an embodiment of the present invention. As shown in fig. 3, a Flink-based data processing apparatus 30 according to an embodiment of the present invention may include:
the cloud detection module 31 is used for detecting unpaid orders of the terminal users;
the cloud judgment module 32 is configured to judge whether the state maintaining time of the unpaid order exceeds a first threshold; and
a first pushing module 33, configured to push first guidance information to the end user if the search state maintaining time exceeds the first threshold.
In the data processing device based on the Flink, the Flink is tool software developed by the Apache software foundation.
According to the data processing device based on the Flink, on one hand, real-time data stream processing can be performed based on the Flink, so that information related to unpaid orders can be acquired in real time by comparing the state maintaining time of the unpaid orders with the first threshold value; on the other hand, the first guiding information is pushed for the unpaid order, so that the unpaid order is changed into the paid order. Therefore, the data processing device based on the Flink in the embodiment of the invention effectively overcomes the defects that the prior art cannot analyze data and cannot respond to the data in real time, effectively improves the value of the data, and also avoids the data processing load at the terminal user side.
In the Flink-based data processing apparatus according to an embodiment of the present invention, the first threshold is set to an arbitrary value between 20 minutes and 40 minutes.
In an embodiment of the data processing apparatus based on Flink, the first guidance information is information for indirectly adjusting an order amount.
In an embodiment of the present invention, the data processing apparatus based on Flink further includes: and a terminating module (not shown) for terminating the data processing if the search state maintaining time does not exceed the first threshold.
Since the specific working principle is described in detail in the embodiment of the data processing method based on the Flink, no further description is given in the embodiment of the data processing apparatus based on the Flink.
Fig. 4 is a block diagram of a data processing apparatus based on Flink according to another embodiment of the present invention. As shown in fig. 4, a data processing apparatus based on Flink according to another embodiment of the present invention may include:
the cloud detection module 41 is used for detecting unpaid orders of the terminal users;
the cloud judgment module 42 is configured to judge whether the state maintaining time of the unpaid order exceeds a first threshold; and further for determining whether a status hold time for the unpaid order exceeds a second threshold, wherein the second threshold is greater than the first threshold;
a first pushing module 43, configured to push first guidance information to the end user if the search state maintaining time exceeds the first threshold.
A second pushing module 44, configured to push second guidance information to the end user if the search state maintaining time exceeds the second threshold.
The cloud detection module 41, the cloud judgment module 42, and the first pushing module 43 of the data processing device based on Flink according to another embodiment of the present invention are similar to the cloud detection module 31, the cloud judgment module 32, and the first pushing module 33 of the data processing device based on Flink according to an embodiment of the present invention, and therefore are not described again.
According to the data processing device based on the Flink in another embodiment of the invention, the second guiding information is pushed on the basis of the data processing device based on the Flink in the embodiment of the invention, so that the value of the data is further effectively improved, and the data processing load on the end user side is also avoided.
In another embodiment of the Flink-based data processing device according to the invention said second threshold is set to any value between 30 minutes and 50 minutes.
In another embodiment of the invention, the difference between said second threshold and said first threshold exceeds 10 minutes in a Flink based data processing device.
In another embodiment of the data processing apparatus based on Flink according to the present invention, the second guidance information is information for directly adjusting the amount of the order.
In another embodiment of the present invention, a data processing apparatus based on Flink further includes: and a terminating module (not shown) for terminating the data processing if the search state maintaining time does not exceed the first threshold. The terminating module (not shown) is further configured to terminate the data processing if the search state maintaining time does not exceed the second threshold.
Fig. 5 is a schematic structural diagram of an electronic device for implementing the social network-based data analysis method of the present application. The electronic device of the present embodiment may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like.
As shown in fig. 5, electronic device 800 may include at least a portion of a processing means 801, a Read Only Memory (ROM)802, a Random Access Memory (RAM)803, a bus 804, an input/output interface 805, an input means 806, an output means 807, a storage means 808, and a communication means 809.
The processing device 801 may be a central processing unit, a graphics processing unit, or the like, and may perform various corresponding actions and processes according to a program stored in the read only memory 802 or a program loaded from the storage device 808 into the random access memory 803.
The processing device 801, the read only memory 802 and the random access memory 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is connected to bus 804.
The input/output interface 805 may be connected to an input device 806, an output device 807, a storage device 808, and a communication device 809. Among other things, the input device 806 may include: touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc. The output device 807 may include: liquid Crystal Displays (LCDs), speakers, vibrators, and the like. The storage 808 may include: magnetic tape, hard disk, etc. And a communication device 809 for the electronic device 800 to perform wireless or wired communication with other devices to exchange data.
In particular, the steps illustrated in the flow charts of the method embodiments according to the present application may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the steps illustrated in the flowchart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 809, or read and installed from the storage means 808, or read and installed from the read-only memory 802. The computer program, when executed by the processing apparatus 801, performs the above-described functions defined in the methods of the embodiments of the present application. It should be noted that the computer readable storage medium described in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In embodiments of the present application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer-readable storage medium may be included in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving the problem to be identified, identifying the slot position in the problem by adopting at least two identification algorithms to obtain at least two slot position result sets; constructing at least two candidate paths according to the position conflict relationship of each slot position result in the at least two slot position result sets in the problem; for each candidate path, scoring each slot position result in the candidate path, and calculating the sum of scores of each slot position result in the candidate path as the slot position score of the candidate path; and outputting a slot result included by the candidate path with the highest slot score.
Computer program code for carrying out operations for embodiments of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the other devices through any kind of network, in particular, through a local area network or a wide area network to the user's computer, or through the internet to external computers.
The objects, technical solutions and advantageous effects of the present invention are further described in detail with reference to the above-described embodiments. It should be understood that the above description is only a specific embodiment of the present invention, and is not intended to limit the present invention. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims (20)
1. A data processing method based on Flink is characterized by comprising the following steps:
detecting unpaid orders of the terminal user at the cloud end;
judging whether the state maintaining time of the unpaid order exceeds a first threshold value;
and if the search state maintaining time exceeds the first threshold value, pushing first guiding information to the terminal user.
2. Flink-based data processing method according to claim 1,
the first threshold is set to any value between 20 minutes and 40 minutes.
3. Flink-based data processing method according to claim 1,
the first guiding information is information for indirectly adjusting the amount of the order.
4. Flink-based data processing method according to claim 4,
and if the search state maintaining time does not exceed the first threshold, ending the data processing.
5. The Flink-based data processing method of claim 1, further comprising:
determining whether the state maintaining time of the unpaid order exceeds a second threshold value, wherein the second threshold value is larger than the first threshold value;
and if the search state maintaining time exceeds the second threshold value, pushing second guiding information to the terminal user.
6. Flink-based data processing method according to claim 5,
the second threshold is set to any value between 30 minutes and 50 minutes.
7. Flink-based data processing method according to claim 5,
the difference between the second threshold and the first threshold exceeds 10 minutes.
8. Flink-based data processing method according to claim 5,
the second guiding information is information for directly adjusting the amount of the order.
9. Flink-based data processing method according to claim 5,
and if the search state maintaining time does not exceed the second threshold, ending the data processing.
10. A Flink-based data processing apparatus, comprising:
the cloud detection module is used for detecting unpaid orders of the terminal users;
the cloud judgment module is used for judging whether the state maintaining time of the unpaid order exceeds a first threshold value or not;
and the first pushing module is used for pushing first guiding information to the terminal user if the search state maintaining time exceeds the first threshold value.
11. Flink-based data processing device according to claim 10,
the first threshold is set to any value between 20 minutes and 40 minutes.
12. Flink-based data processing device according to claim 10,
the first guiding information is information for indirectly adjusting the amount of the order.
13. The Flink-based data processing apparatus of claim 10, further comprising:
and the terminating module is used for finishing the data processing if the maintaining time of the search state does not exceed the first threshold.
14. Flink-based data processing device according to claim 10,
the judging module is further configured to judge whether the state maintaining time of the unpaid order exceeds a second threshold, where the second threshold is greater than the first threshold;
wherein the apparatus further comprises:
and the second pushing module is used for pushing second guiding information to the terminal user if the search state maintaining time exceeds the second threshold value.
15. Flink-based data processing device according to claim 14,
the second threshold is set to any value between 30 minutes and 50 minutes.
16. Flink-based data processing device according to claim 14,
the difference between the second threshold and the first threshold exceeds 10 minutes.
17. Flink-based data processing device according to claim 14,
the second guiding information is information for directly adjusting the amount of the order.
18. Flink-based data processing device according to claim 14,
and the terminating module is further used for terminating the data processing if the search state maintaining time does not exceed the second threshold.
19. A computer-readable storage medium storing computer program instructions for implementing the method according to any one of claims 1-9 when the computer program instructions are executed by a processor.
20. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein execution of the one or more computer program instructions by the processor implements the method of any of claims 1-9.
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