CN109558434A - A kind of consumption data statistical method and device based on education resource platform - Google Patents
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Abstract
The invention discloses a kind of consumption data statistical method and device based on education resource platform, method include: the consumption data for obtaining user, and consumption data is uploaded to MongoDB；Consumption data is handled according to aggregation framework in MongoDB, returns to treated data result；According to treated, data result counts and classifies to the consumption of user.The embodiment of the present invention counts the consumption data in education resource platform using MongoDB, and is handled using aggregation framework data, improves the speed of data processing, improves the efficiency of data statistics.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of consumption data statistical methods based on education resource platform
And device.
Background technique
In existing education resource platform, some business scenarios are had, needs user to log in education resource platform and props up
It pays, to generate consumption data.Background server needs to count the consumption data of business scenario.
But existing education resource platform uses RDBMS (Relational Database Management
System, relational data management system) consumption data statistics is carried out, the RDBMS data acquisition in statistic processes needs to establish
Conversion or mapping of the application to database object, connection complexity, it has not been convenient to extend, the data access speed of statistics is slow, number
Low efficiency according to statistics.
Therefore, the existing technology needs to be improved and developed.
Summary of the invention
In view of above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a kind of consumption based on education resource platform
Data statistical approach and device, it is intended to solve consumption data statistics in education resource platform in the prior art and be carried out using RDBMS
The problem of consumption data statistics, data statistics low efficiency.
Technical scheme is as follows:
A kind of consumption data statistical method based on education resource platform, which comprises
The consumption data for obtaining user, is uploaded to MongoDB for consumption data；
Consumption data is handled according to aggregation framework in MongoDB, returns to treated data result；
According to treated, data result counts and classifies to the consumption of user.
Optionally, the consumption data includes the personal data of user and the purchase commodity data of user.
Optionally, the consumption data for obtaining user, is uploaded to MongoDB for consumption data, comprising:
The personal data of user are obtained, and the users personal data is uploaded into MongoDB, the MongoDB data
Several customer consumption data lists are stored in library；
The purchase commodity data for obtaining user, uploads to corresponding user in MongoDB for the purchase commodity data
Consumption data list.
Optionally, described that consumption data is handled according to aggregation framework in MongoDB, return to treated data
As a result, comprising:
The personal data for obtaining user using aggregation framework in MongoDB inquire user according to the personal data of user
All purchase commodity datas；
Payment amount, type of payment and the channel of disbursement of user are obtained according to all purchase commodity datas of user, and
Return to payment amount, type of payment and the channel of disbursement obtained.
Optionally, treated that data result counts and classifies to the consumption of user for the basis, packet
It includes:
Successively obtain payment amount, type of payment and the channel of disbursement of all users in education resource platform and corresponding
Personal data；
According to payment amount, type of payment and the channel of disbursement of all users of acquisition and corresponding personal data according to pre-
The rule first set counts and classifies to the consumption of the user in education resource platform.
Optionally, treated after data result counts and classify to the consumption of user for the basis,
Include:
Corresponding product information is pushed to user according to sorted result.
Optionally, the channel of disbursement includes Credit Card Payments, debit payments, wechat payment, Unionpay's payment and payment
Treasured payment.
Further embodiment of this invention additionally provides a kind of consumption data statistic device based on education resource platform, the dress
It sets including at least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out the above-mentioned consumption data system based on education resource platform
Meter method.
Another embodiment of the present invention additionally provides a kind of non-volatile computer readable storage medium storing program for executing, which is characterized in that
The non-volatile computer readable storage medium storing program for executing is stored with computer executable instructions, and the computer executable instructions are by one
Or multiple processors may make one or more of processors to execute the above-mentioned consumption based on education resource platform when executing
Data statistical approach.
Another embodiment of the invention provides a kind of computer program product, and the computer program product includes depositing
The computer program on non-volatile computer readable storage medium storing program for executing is stored up, the computer program includes program instruction, works as institute
When stating program instruction and being executed by processor, the processor is made to execute the above-mentioned consumption data statistics based on education resource platform
Method.
The utility model has the advantages that the invention discloses a kind of consumption data statistical method and device based on education resource platform, this
Inventive embodiments count the consumption data in education resource platform using MongoDB, and using aggregation framework to data
It is handled, improves the speed of data processing, improve the efficiency of data statistics.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is a kind of flow chart of the consumption data statistical method preferred embodiment based on education resource platform of the present invention；
Fig. 2 is a kind of hardware configuration of the consumption data statistic device preferred embodiment based on education resource platform of the present invention
Schematic diagram.
Specific embodiment
To make the purpose of the present invention, technical solution and effect clearer, clear and definite, below to the present invention further specifically
It is bright.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.Below
The embodiment of the present invention is introduced in conjunction with attached drawing.
Referring to Fig. 1, Fig. 1 is a kind of consumption data statistical method preferred embodiment based on education resource platform of the present invention
Flow chart.As shown in Figure 1, itself comprising steps of
Step S100, the consumption data for obtaining user, is uploaded to MongoDB for consumption data；
Step S200, consumption data is handled according to aggregation framework in MongoDB, returns to treated data knot
Fruit；
Step S300, according to treated, data result counts and classifies to the consumption of user.
When it is implemented, storing data library of the MongoDB as education resource platform is used in the embodiment of the present invention, wherein
MongoDB is a kind of database based on distributed document storage.It is write by C Plus Plus.MongoDB is a kind of document data
Library, a set may include a variety of different documents.Field Count, content and the document size of each document can respectively not
It is identical.MongoDB uses the mode of single object, clear succinct.Not complicated linkage function.MongoDB is supported to document
Dynamic queries are executed, a kind of query language based on document no less than sql like language is used.Has the function of tuning.
MongoDB is highly susceptible to extending, and does not need conversion/mapping from application to database object.MongoDB makes
(Windowing) working set is stored with storage inside, can quickly access data.
Therefore the consumption data of MongoDB counting user has the following characteristics that the storage of Oriented Documents: with JSON format
Document storing data；Any attribute could set up index；Duplication and enhanced scalability.Auto plate separation；Inquiry function abundant
Energy；Quick immediate updating.
User's register account number on education resource platform in advance in step S100 includes personal data in account.When with
It is bought when buying the products such as course, teaching material on education resource platform using account at family.Education resource platform obtains user
Consumption data, and upload in MongoDB.Wherein consumption data includes the personal data of user and the purchase commodity number of user
According to.
After the consumption data of user in step S200 in MongoDB acquisition education resource platform, handled.Specifically
Consumption data is handled using Aggregation aggregation framework.Aggregation is just to provide data statistics, analysis, divides
The method of class, MongoDB have done many encapsulation and optimization, have made data manipulation more convenient and easy-to-use.Aggregation behaviour
Make, receive the data set of specified collection, by returning to result data after calculating；One aggregation operation, from
For input source data to output result data, generally speaking it is exactly a pipeline that centre, which can successively pass through multiple stages,
(pipeline)；Pipeline is generally used for using the output result of the current command as the input of Next Command in Unix and Linux.?
In MongoDB, pipeline has same effect, after current consumption data is disposed, is handled next time by pipeline.
According to treated, data result counts and divides to the consumption of user MongoDB in step S300
Class.It can be classified according to the region in the personal data of user, can also be carried out according to the type of merchandise in purchase commodity data
Classification.In order to improve the data access efficiency of user on daytime, the consumption of user is counted and classify can night into
Row.
Further, consumption data is uploaded to MongoDB by the consumption data for obtaining user, comprising:
The personal data of user are obtained, and the users personal data is uploaded into MongoDB, the MongoDB data
Several customer consumption data lists are stored in library；
The purchase commodity data for obtaining user, uploads to corresponding user in MongoDB for the purchase commodity data
Consumption data list.
When it is implemented, education resource platform obtains the personal data of user, personal data include but is not limited to user's
Register the data such as user name, identity information and contact method.The personal data for the user that education resource platform will acquire are uploaded to
The consumption data list of user, the corresponding consumption data list of each user are also created in MongoDB, MongoDB.It obtains and uses
The purchase commodity data at family, and purchase commodity data is passed into MongoDB in the customer consumption data list of user.Wherein
Purchase commodity data includes the data such as type, title, price, the place of production of commodity of purchase.
Further, consumption data is handled according to aggregation framework in MongoDB, returns to treated data knot
Fruit, comprising:
The personal data for obtaining user using aggregation framework in MongoDB inquire user according to the personal data of user
All purchase commodity datas；
Payment amount, type of payment and the channel of disbursement of user are obtained according to all purchase commodity datas of user, and
Return to payment amount, type of payment and the channel of disbursement obtained.
When it is implemented, obtaining the personal data of user in MongoDB, the user is inquired according to personal data and is being educated
All purchase commodity datas in resource platform, using aggregation framework, to the Payment Amount, type of payment and channel of disbursement of user
Data are handled, and return to payment amount, type of payment and the channel of disbursement of acquisition.Channel of disbursement include Credit Card Payments,
Debit payments, wechat payment, Unionpay's payment and Alipay payment.Payment amount includes the Payment Amount, total of single product
Payment Amount and average Payment Amount.Type of payment refers to the type of merchandise of purchase, and commodity are course or teaching material.
Further, according to treated, data result counts and classifies to the consumption of user, comprising:
Successively obtain payment amount, type of payment and the channel of disbursement of all users in education resource platform and corresponding
Personal data；
According to payment amount, type of payment and the channel of disbursement of all users of acquisition and corresponding personal data according to pre-
The rule first set counts and classifies to the consumption of the user in education resource platform.
When it is implemented, MongoDB obtains payment amount, type of payment and the branch of all users in education resource platform
After paying channel and corresponding personal data, the consumption of user is counted and divided according to preset rule
Class.Wherein preset rule refers to the classification for obtaining consumption data, sets one of classification to count classification, according to this
Classification counts data.
Further, according to treated after data result counts and classify to the consumption of user, packet
It includes:
Corresponding product information is pushed to user according to sorted result.
When it is implemented, the product admired of oneself is bought in order to facilitate user, consumption data of the MongoDB to user
After carrying out statistical classification, the consumption demand of user is obtained.Product in education resource platform is matched, is matched and user
The corresponding product of consumption demand, user log in education resource platform when, corresponding product information is pushed into user.
By above method embodiment it is found that the embodiment of the present invention provides a kind of consumption data system based on education resource platform
Meter method completes processing data (such as assembly average, summation using aggregation framework (aggregation) in monodb
Deng), and the data result after calculating is returned, solve the statistical demand under nosql.
The timed task for cooperating night completes the clearing of the reports such as order, payment using Mongodb, completes user's operation system
Meter etc. is all very practical demand.By complete report clearing for, count all orders that can be settled accounts of platform, according to
Difference of family channel of disbursement, such as the payment of Credit Card Payments, debit payments, wechat change, Unionpay's payment, Alipay payment etc.
Deng there are a different charging standards in the bank of docking, third party, and finally obtained platform is deserved just to be needed according to complicated calculating
It obtains, takes a long time, so only being completed at peak value lower night.
Another embodiment of the present invention provides a kind of consumption data statistic device based on education resource platform, as shown in Fig. 2,
Device 10 includes:
One or more processors 110 and memory 120 are introduced in Fig. 2 by taking a processor 110 as an example, are located
Reason device 110 can be connected with memory 120 by bus or other modes, in Fig. 2 for being connected by bus.
Processor 110 is used for the various control logics of finishing device 10, can be general processor, Digital Signal Processing
Device (DSP), specific integrated circuit (ASIC), field programmable gate array (FPGA), single-chip microcontroller, ARM (Acorn RISC
) or other programmable logic device, discrete gate or transistor logic, discrete hardware component or these components Machine
Any combination.In addition, processor 110 can also be any conventional processors, microprocessor or state machine.Processor 110 can also
To be implemented as calculating the combination of equipment, for example, the combination of DSP and microprocessor, multi-microprocessor, one or more micro- places
Manage device combination DSP core or any other this configuration.
Memory 120 is used as a kind of non-volatile computer readable storage medium storing program for executing, can be used for storing non-volatile software journey
Sequence, non-volatile computer executable program and module, such as the consumption based on education resource platform in the embodiment of the present invention
The corresponding program instruction of data statistical approach.The non-volatile software journey that processor 110 is stored in memory 120 by operation
Sequence, instruction and unit, thereby executing the various function application and data processing of device 10, i.e. realization above method embodiment
In the consumption data statistical method based on education resource platform.
Memory 120 may include storing program area and storage data area, wherein storing program area can store operation dress
It sets, application program required at least one function；Storage data area, which can be stored, uses created data etc. according to device 10.
It can also include nonvolatile memory in addition, memory 120 may include high-speed random access memory, for example, at least one
A disk memory, flush memory device or other non-volatile solid state memory parts.In some embodiments, memory 120 can
Choosing includes the memory remotely located relative to processor 110, these remote memories can pass through network connection to device 10.
The example of above-mentioned network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
One or more unit is stored in memory 120, when being executed by one or more processor 110, is held
The consumption data statistical method based on education resource platform in the above-mentioned any means embodiment of row, for example, executing above description
Fig. 1 in method and step S100 to step S300.
The embodiment of the invention provides a kind of non-volatile computer readable storage medium storing program for executing, computer readable storage medium is deposited
Computer executable instructions are contained, which is executed by one or more processors, for example, executing above retouch
Method and step S100 to step S300 in the Fig. 1 stated.
As an example, non-volatile memory medium can include that read-only memory (ROM), programming ROM (PROM), electricity can
Programming ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory can include as external high speed
The random access memory (RAM) of buffer memory.By illustrate it is beautiful unrestricted, RAM can with such as synchronous random access memory (SRAM),
Dynamic ram, (DRAM), synchronous dram (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM
(ESDRAM), many forms of Synchlink DRAM (SLDRAM) and directly Rambus (Lan Basi) RAM (DRRAM) etc
It obtains.The disclosed memory assembly or memory of operating environment described herein be intended to include these and/or it is any
Other are suitble to one or more of the memory of type.
Another embodiment of the invention provides a kind of computer program product, and computer program product includes being stored in
Computer program on non-volatile computer readable storage medium storing program for executing, computer program include program instruction, when program instruction quilt
When processor executes, the processor is made to execute the consumption data statistics side based on education resource platform of above method embodiment
Method.For example, executing the method and step S100 to step S300 in Fig. 1 described above.
Embodiments described above is only schematical, wherein as illustrated by the separation member unit can be or
It may not be and be physically separated, component shown as a unit may or may not be physical unit, it can
It is in one place, or may be distributed over multiple network units.Can select according to actual needs part therein or
Person's whole module achieves the purpose of the solution of this embodiment.
By the description of above embodiment, those skilled in the art can be understood that each embodiment can be by
Software adds the mode of general hardware platform to realize, naturally it is also possible to pass through hardware realization.Based on this understanding, above-mentioned technology
Scheme substantially in other words can be embodied in the form of software products the part that the relevant technologies contribute, the computer
Software product can reside in computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions to
So that a computer electronic equipment (can be personal computer, server or network electronic devices etc.) executes each reality
The method for applying certain parts of example or embodiment.
Among other things, such as " can ', " energy ", " possibility " or " can be with " etc conditional statement unless in addition specific
Ground is stated or is otherwise understood in context as used, is otherwise generally intended to convey particular implementation energy
Including (however other embodiments do not include) special characteristic, element and/or operation.Therefore, such conditional statement is generally
It is not intended to imply that feature, element and/or operation are all needed one or more embodiments or one anyway
Or multiple embodiments must include for determining these features, element in the case where being with or without student's input or prompt
And/or the logic whether operation is included or will be performed in any particular implementation.
The content described in the present description and drawings herein include be capable of providing intelligent cabinet method for customizing and
The example of device.Certainly, each of element and/or method can not be described for the purpose of the various features of the description disclosure
The combination being envisioned that, it can be appreciated that, many other combinations and displacement of disclosed feature are possible.Cause
This, it is obvious that without departing from the scope or spirit of the present disclosure various modifications can be made to the disclosure.This
Outside, or in alternative solution, the considerations of other embodiments of the disclosure are to the specification and drawings and as being in herein
It may be obvious in the practice of the existing disclosure.It is intended that example proposed in the specification and drawings is all
Aspect is considered illustrative and not restrictive.Although using specific term herein, they general and
The purpose of limitation is used and is not used in descriptive sense.
Claims (10)
1. a kind of consumption data statistical method based on education resource platform, it is characterised in that, the described method includes:
The consumption data for obtaining user, is uploaded to MongoDB for consumption data；
Consumption data is handled according to aggregation framework in MongoDB, returns to treated data result；
According to treated, data result counts and classifies to the consumption of user.
2. the consumption data statistical method according to claim 1 based on education resource platform, which is characterized in that described to disappear
Taking data includes the personal data of user and the purchase commodity data of user.
3. the consumption data statistical method based on education resource platform according to claim 2, which is characterized in that the acquisition
Consumption data is uploaded to MongoDB by the consumption data of user, comprising:
The personal data of user are obtained, and the users personal data is uploaded into MongoDB, in the MongoDB database
It is stored with several customer consumption data lists；
The purchase commodity data for obtaining user, uploads to corresponding customer consumption in MongoDB for the purchase commodity data
Data list.
4. the consumption data statistical method according to claim 3 based on education resource platform, which is characterized in that it is described
Consumption data is handled according to aggregation framework in MongoDB, returns to treated data result, comprising:
The personal data for obtaining user using aggregation framework in MongoDB, the institute of user is inquired according to the personal data of user
Some purchase commodity datas；
Payment amount, type of payment and the channel of disbursement of user are obtained according to all purchase commodity datas of user, and is returned
Payment amount, type of payment and the channel of disbursement of acquisition.
5. the consumption data statistical method according to claim 4 based on education resource platform, which is characterized in that described
According to treated, data result counts and classifies to the consumption of user, comprising:
Successively payment amount, type of payment and the channel of disbursement of all users in acquisition education resource platform and corresponding individual
Data；
According to payment amount, type of payment and the channel of disbursement of all users of acquisition and corresponding personal data according to setting in advance
Fixed rule counts and classifies to the consumption of the user in education resource platform.
6. the consumption data statistical method according to claim 1 based on education resource platform, which is characterized in that described
According to treated after data result counts and classify to the consumption of user, comprising:
Corresponding product information is pushed to user according to sorted result.
7. the consumption data statistical method according to claim 4 or 5 based on education resource platform, which is characterized in that institute
Stating channel of disbursement includes Credit Card Payments, debit payments, wechat payment, Unionpay's payment and Alipay payment.
8. a kind of consumption data statistic device based on education resource platform, which is characterized in that described device includes at least one
Processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
It manages device to execute, so that at least one described processor is able to carry out, claim 1-7 is described in any item to be put down based on educational resource
The consumption data statistical method of platform.
9. a kind of non-volatile computer readable storage medium storing program for executing, which is characterized in that the non-volatile computer readable storage medium
Matter is stored with computer executable instructions, when which is executed by one or more processors, may make institute
It states one or more processors perform claim and requires the described in any item consumption data statistics sides based on education resource platform 1-7
Method.
10. a kind of computer program product, the computer program product includes being stored in non-volatile computer readable storage
Computer program on medium, the computer program include program instruction, when described program instruction is executed by processor, are made
The processor perform claim requires the described in any item consumption data statistical methods based on education resource platform of 1-7.
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| CN201811223553.8A CN109558434A (en) | 2018-10-19 | 2018-10-19 | A kind of consumption data statistical method and device based on education resource platform |
| PCT/CN2019/100385 WO2020078084A1 (en) | 2018-10-19 | 2019-08-13 | Education resource platform-based consumption data collection method and device |
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| WO2020078084A1 (en) * | 2018-10-19 | 2020-04-23 | 深圳点猫科技有限公司 | Education resource platform-based consumption data collection method and device |
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| CN105512893A (en) * | 2015-12-24 | 2016-04-20 | 携程计算机技术（上海）有限公司 | Hotel transaction data-based user credit evaluation method and system |
| CN106447389A (en) * | 2016-08-31 | 2017-02-22 | 广东华邦云计算股份有限公司 | Consuming behavior data collection method and system |
| CN108616584A (en) * | 2018-04-19 | 2018-10-02 | 华南师范大学 | A kind of wisdom classroom collecting method and system based on xAPI |
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| WO2020078084A1 (en) * | 2018-10-19 | 2020-04-23 | 深圳点猫科技有限公司 | Education resource platform-based consumption data collection method and device |
| CN110570337A (en) * | 2019-09-03 | 2019-12-13 | 湖北时代万新国际教育发展有限公司 | High-end student management system |
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