CN112862554A - Order data processing method and device - Google Patents
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Abstract
The invention discloses a method and a device for processing order data, and relates to the technical field of computers. One specific implementation mode of the method comprises the steps of intercepting order data in a target time to generate a result set to be processed; obtaining a user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to order transaction time, and further determining first order transaction time corresponding to the user identification code; and removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed to generate a result set, and further obtaining new user order data in the target time. Therefore, the method and the device can solve the problems of poor service performance and high cost of the system when the order is identified as a new user.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for processing order data.
Background
Aiming at e-commerce and related enterprises, data such as the growth amount of new users and shopping habits of the new users can provide important data support for strategic development of the enterprises, and whether more new users can be attracted is the key for judging whether the e-commerce enterprises have good development prospects.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
under the condition of a large amount of order data accumulated by the system, a large amount of time is consumed for screening new user orders within a specified time by adopting a manual or semi-manual mode in the prior art, so that the service performance is reduced, and even the service overtime is caused under severe conditions.
Disclosure of Invention
In view of this, embodiments of the present invention provide an order data processing method and apparatus, which can solve the problems of poor system service performance and high cost when an order is identified as a new user.
In order to achieve the above object, according to an aspect of the embodiments of the present invention, there is provided a method for processing order data, including intercepting order data within a target time to generate a result set to be processed; obtaining a user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to order transaction time, and further determining first order transaction time corresponding to the user identification code; and removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed to generate a result set, and further obtaining new user order data in the target time.
Optionally, sorting the searched order data according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code, including:
clustering the searched order data based on the order type to obtain order data of a target type;
and sequencing the order data of the target type according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code.
Optionally, obtaining a user identification code corresponding to the order, and searching order data corresponding to the user identification code in a database, including:
and obtaining a user identification code corresponding to the order, performing duplicate removal processing on order data in a to-be-processed result set based on the user identification code, and searching the order data corresponding to the user identification code in a database.
Optionally, intercepting order data in the target time to generate a result set to be processed, including:
intercepting order data in the target time, and screening the order data based on the target type;
and generating a result set to be processed according to the screened order data with the order state completed.
In addition, according to an aspect of the embodiments of the present invention, there is provided an apparatus for processing order data, including an intercepting module, configured to intercept order data within a target time to generate a result set to be processed; the processing module is used for obtaining the user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code; and the generating module is used for removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed so as to generate a result set, and further obtaining the new user order data in the target time.
Optionally, the processing module sorts the searched order data according to the order transaction time, and further determines the first order transaction time corresponding to the user identification code, including:
clustering the searched order data based on the order type to obtain order data of a target type;
and sequencing the order data of the target type according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code.
Optionally, the obtaining, by the processing module, a user identification code corresponding to the order, and searching for order data corresponding to the user identification code in a database includes:
and obtaining a user identification code corresponding to the order, performing duplicate removal processing on order data in a to-be-processed result set based on the user identification code, and searching the order data corresponding to the user identification code in a database.
Optionally, the intercepting module intercepts order data in the target time to generate a result set to be processed, including:
intercepting order data in the target time, and screening the order data based on the target type;
generating a result set to be processed according to the screened order data with the order state being completed
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any of the above-described computing embodiments.
According to another aspect of an embodiment of the present invention, there is also provided a computer-readable medium, on which a computer program is stored, which when executed by a processor implements any of the methods described above based on the computing embodiments.
One embodiment of the above invention has the following advantages or benefits: the method comprises the steps of intercepting order data in a target time to generate a result set to be processed; obtaining a user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to order transaction time, and further determining first order transaction time corresponding to the user identification code; and removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed to generate a result set, and further obtaining new user order data in the target time. Therefore, the invention can automatically and quickly identify the new user order in a certain time period.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
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The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic view of a main flow of a processing method of order data according to a first embodiment of the present invention
Fig. 2 is a schematic view of a main flow of a processing method of order data according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of the main modules of an order data processing apparatus according to an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic view of a main flow of a processing method of order data according to a first embodiment of the present invention, which may include:
step S101, intercepting order data in the target time to generate a result set to be processed.
In an embodiment, the present invention distinguishes new users from the time dimension, may set a start time begin _ date of the target time and an end time end _ date of the target time, and intercept orders in the order data having an order transaction time greater than or equal to the start time begin _ date of the target time and less than or equal to the end time end _ date of the target time.
In some embodiments, since orders can be divided into multiple types, such as a consumption order, a complaint order, and so on, new user identification of different target types can be made according to different business needs. Therefore, the invention screens the order data based on the target type after intercepting the order data in the target time. And then, generating a result set to be processed according to the screened order data with the order state completed. That is, order data is processed in a targeted manner according to business requirements.
Step S102, obtaining a user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to order transaction time, and further determining first order transaction time corresponding to the user identification code.
In an embodiment, the user identification code may be set to be a pin (personal identification number, each pin corresponds to a unique user), and the user identification code pin corresponding to the obtained order is stored to the set pinList of pin values.
In addition, the order trading time is trade _ date, and the searched order data is sorted according to the order trading time trade _ date. Further, the first order transaction time may be regarded as the earliest order transaction time corresponding to a certain pin in the database, and may be obtained through a function min (expr) carried by the database. Each pin corresponds to an earliest order transaction time. Where Min (expr) is a function in the database query statement for querying the minimum target value.
In some embodiments, the found order data may be clustered based on the order type to obtain order data of the target type. And then, ordering the order data of the target type according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code. As can be seen, in the embodiment, for the service requirement, the searched order data is clustered based on the order type, and then the first order transaction time is determined.
It should be further noted that, after the user identification code corresponding to the order is obtained, deduplication processing may be performed on the order data in the processing result set based on the user identification code. Further, the result set can be extracted to remove repeated values by using the distint keyword, so that all non-repeated pin values in the target time can be obtained. The distinting is a keyword in a database query statement, and can remove repeated data in a result set.
It can be seen that whether the query statement in the database is used for carrying out deduplication processing or the determination of the first order transaction time is carried out, the database is used for sharing the calculation pressure, so that the calculation performance pressure of the system can be reduced.
Step S103, removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed to generate a result set, and further obtaining new user order data in the target time.
In an embodiment, the new user order data may be evaluated for analysis, such as: since a large number of new user orders are generated due to a certain promotional activity, and certainly, a large number of new user orders may not be generated, the outcome of executing a certain event can be judged according to the obtained new user order data within the target time.
In some embodiments, a start time begin _ date of the target time and an end time end _ date of the target time may be set. If the first order transaction time is less than the beginning time begin _ date of the target time, the corresponding order data may be removed from the result set to be processed, a result set may be generated, and a new user order may be located in the result set. That is, the old user's first order trading time must be before the target time.
Of course, if the first order transaction time is greater than the end time end _ date of the target time, the corresponding order data also needs to be removed from the pending result set. This situation is likely to be caused by a system error.
It should be noted that the invention removes the order data that does not belong to the target time from the result set to be processed, and further generates the result set, thereby avoiding the abnormal problem caused by the Memory overflow (OOM: Out Of Memory).
Therefore, the order data processing method provided by the invention can obviously improve the performance of the database for a system with a large number of historical orders. Meanwhile, when the data is screened, a set or a newly-built database table is not needed to be created to store the historical orders to realize comparison screening, the data can be operated in the database, and the data can be searched through basic database query statements, so that the system design can be simplified, and the system performance pressure can be reduced.
In addition, the invention does not need to traverse the set once when marking a new user order, and also does not need to write the new user into the set after marking the new user order, namely, no read-write operation exists, thereby greatly reducing the pressure of the computing performance.
Fig. 2 is a schematic diagram of a main flow of a processing method of order data according to a second embodiment of the present invention, and the processing method of order data may include:
step S201, intercepting order data in the target time, and screening the order data based on the target type.
Step S202, according to the screened order data with the order state being completed, a result set to be processed is generated.
Step S203, obtaining a user identification code corresponding to the order, and performing deduplication processing on order data in the to-be-processed result set based on the user identification code.
Step S204, searching order data corresponding to the user identification code in a database.
Step S205, based on the order type, clustering the searched order data to obtain order data of the target type.
Step S206, according to the order trading time, ordering the order data of the target type, and further determining the first order trading time corresponding to the user identification code.
Step S207, removing the order data whose first order transaction time does not belong to the target time from the result set to be processed, so as to generate a result set, and further obtain new user order data within the target time.
Fig. 3 is a schematic diagram of main blocks of an order data processing apparatus according to an embodiment of the present invention, and as shown in fig. 3, the order data processing apparatus 300 includes an intercepting module 301, a processing module 302, and a generating module 303. The intercepting module 301 intercepts order data within a target time to generate a result set to be processed; the processing module 302 obtains the user identification code corresponding to the order, searches order data corresponding to the user identification code in a database, and sorts the searched order data according to order transaction time, so as to determine first order transaction time corresponding to the user identification code; the generating module 303 removes the order data whose first order transaction time does not belong to the target time from the result set to be processed, so as to generate a result set, thereby obtaining new user order data within the target time.
In some embodiments, the sorting the searched order data according to the order transaction time by the processing module 302, and further determining the first order transaction time corresponding to the user identification code includes:
clustering the searched order data based on the order type to obtain order data of a target type; and sequencing the order data of the target type according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code.
In other embodiments, the obtaining, by the processing module 302, a user identification code corresponding to the order, and searching a database for order data corresponding to the user identification code includes:
and obtaining a user identification code corresponding to the order, performing duplicate removal processing on order data in a to-be-processed result set based on the user identification code, and searching the order data corresponding to the user identification code in a database.
It should be noted that, the intercepting module 301 intercepts order data in a target time to generate a result set to be processed, including:
intercepting order data in the target time, and screening the order data based on the target type; and generating a result set to be processed according to the screened order data with the order state completed.
It should be noted that the order data processing method and the order data processing apparatus according to the present invention have a corresponding relationship in the specific implementation content, and therefore, the repeated content is not described again.
Fig. 4 shows an exemplary system architecture 400 of an order data processing method or an order data processing apparatus to which an embodiment of the present invention can be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 serves as a medium for providing communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like. The terminal devices 401, 402, 403 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 401, 402, 403 may be various electronic devices having a processing screen for order data and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 405 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 401, 402, 403. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the order data processing method provided by the embodiment of the present invention is generally executed by the server 405, and accordingly, the computing device is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the system 500 are also stored. The CPU501, ROM502, and RAM503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output section 507 including a processor (LCD) and the like such as a Cathode Ray Tube (CRT), liquid crystal order data, and the like, and a speaker and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can 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 the present invention, 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 the present invention, 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 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 medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes an intercept module, a processing module, and a generation module. Wherein the names of the modules do not in some cases constitute a limitation of the module itself.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include intercepting order data at a target time to generate a pending result set; obtaining a user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to order transaction time, and further determining first order transaction time corresponding to the user identification code; and removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed to generate a result set, and further obtaining new user order data in the target time.
According to the technical scheme of the embodiment of the invention, the problems of poor system service performance and high cost when the order is identified as a new user can be solved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for processing order data is characterized by comprising the following steps:
intercepting order data in a target time to generate a result set to be processed;
obtaining a user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to order transaction time, and further determining first order transaction time corresponding to the user identification code;
and removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed to generate a result set, and further obtaining new user order data in the target time.
2. The method of claim 1, wherein sorting the searched order data according to the order transaction time to determine the first order transaction time corresponding to the user identification code comprises:
clustering the searched order data based on the order type to obtain order data of a target type;
and sequencing the order data of the target type according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code.
3. The method of claim 1, wherein obtaining a user identification code corresponding to the order and searching a database for order data corresponding to the user identification code comprises:
and obtaining a user identification code corresponding to the order, performing duplicate removal processing on order data in a to-be-processed result set based on the user identification code, and searching the order data corresponding to the user identification code in a database.
4. The method of any one of claims 1 to 3, wherein intercepting order data within a target time to generate a pending results set comprises:
intercepting order data in the target time, and screening the order data based on the target type;
and generating a result set to be processed according to the screened order data with the order state completed.
5. An order data processing device is characterized in that,
the intercepting module is used for intercepting order data in the target time to generate a result set to be processed;
the processing module is used for obtaining the user identification code corresponding to the order, searching order data corresponding to the user identification code in a database, sequencing the searched order data according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code;
and the generating module is used for removing the order data of which the first order transaction time does not belong to the target time from the result set to be processed so as to generate a result set, and further obtaining the new user order data in the target time.
6. The apparatus according to claim 5, wherein the processing module sorts the searched order data according to the order transaction time, and further determines the first order transaction time corresponding to the user identification code, including:
clustering the searched order data based on the order type to obtain order data of a target type;
and sequencing the order data of the target type according to the order transaction time, and further determining the first order transaction time corresponding to the user identification code.
7. The apparatus of claim 5, wherein the processing module obtains a user identification corresponding to the order, and searches a database for order data corresponding to the user identification, comprising:
and obtaining a user identification code corresponding to the order, performing duplicate removal processing on order data in a to-be-processed result set based on the user identification code, and searching the order data corresponding to the user identification code in a database.
8. The apparatus of any one of claims 5-7, wherein the intercept module intercepts order data at a target time to generate a pending results set, comprising:
intercepting order data in the target time, and screening the order data based on the target type;
and generating a result set to be processed according to the screened order data with the order state completed.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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| CN201911184560.6A CN112862554A (en) | 2019-11-27 | 2019-11-27 | Order data processing method and device |
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| CN201911184560.6A Pending CN112862554A (en) | 2019-11-27 | 2019-11-27 | Order data processing method and device |
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| CN114723526A (en) * | 2022-04-08 | 2022-07-08 | 湖南快乐阳光互动娱乐传媒有限公司 | Order processing method and device, server and computer storage medium |
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