WO2020052429A1

WO2020052429A1 - Method for compiling data statistics, system and terminal device

Info

Publication number: WO2020052429A1
Application number: PCT/CN2019/102279
Authority: WO
Inventors: 王欢; 潘泉锦
Original assignee: 百富计算机技术（深圳）有限公司
Priority date: 2018-09-13
Filing date: 2019-08-23
Publication date: 2020-03-19
Also published as: CN109299931A

Abstract

Provided by the present solution are a method for compiling data statistics, a system and a terminal device, the method comprising: creating and initializing statistics data, setting an initial value for the statistics data, and storing the statistics data in a preset storage area; compiling statistics for transaction data according to transaction operation type each time when performing an operation on the transaction data, and updating the statistics data; and reading the statistics data from the preset storage area during batch settlement. In the present solution, statistics are compiled for transaction data according to transaction operation type and the statistics data is updated according to data obtained after statistics calculation during each transaction so as to guarantee that the statistics data may characterize in real time the accounting total of current income and expenses, thus the statistics data may be directly read when batch settlement must be performed without having to traverse all of the transaction data again, thereby solving of the problem of time consumption caused by traversing transaction data, and reducing the time for reading and processing data.

Description

Data statistics method, system and terminal equipment

Technical field

The invention belongs to the technical field of data statistics, and particularly relates to a data statistics method, system and terminal device.

Background technique

Point of sale (POS) devices have functions such as support for consumption, pre-authorization, balance inquiry, and transfer. They are safe, fast, and reliable to use. They are often used as payment devices in daily payments. In the application scenario of the POS device (using the BroadPos payment application), batch settlement is required once a day. Batch settlement needs to count all transaction data of the day to get data items such as the total number of transactions, the total amount of transactions, and the total amount of tips. It is printed on the receipt.

Currently, each transaction data is stored in the Indexdb database. During batch settlement, the specific process includes:

1. Read all transaction data in the Indexdb database.

2. Traverse the transaction data, and count the data items such as the total number of transactions, the total amount of transactions, and the total amount of tips.

3. Print the statistical results.

The test found that when the transaction data stored in the Indexdb database is 1000, it takes about 4 seconds to read the transaction data in the Indexdb database. Iterates through 1000 transaction data and calculates it one by one, which takes about 2 seconds, which is equivalent to the user's needs. Wait about 6 seconds before printing starts. If the transaction data exceeds 1,000 transactions, the time will be longer, which will seriously affect the user experience.

In summary, in the prior art, there is a problem that the transaction data in the database needs to be traversed during batch settlement, which results in a problem that takes too long.

technical problem

In view of this, embodiments of the present invention provide a data statistics method, system, and terminal device to solve the problem that the transaction data in the database needs to be traversed during batch settlement in the prior art, which causes a problem that takes too long.

Technical solutions

A first aspect of the embodiments of the present invention provides a data statistics method, including:

Create and initialize statistical data, set initial values of the statistical data, and store the statistical data in a preset storage area.

Every time an operation is performed on the transaction data, the transaction data is counted according to the type of the transaction operation, and the update of the statistical data is performed.

During batch settlement, the statistical data is read from the preset storage area.

A second aspect of the embodiments of the present invention provides a data statistics system, including:

The statistical data creation module is configured to create and initialize statistical data, set an initial value of the statistical data, and store the statistical data in a preset storage area.

A statistical data update module is configured to perform statistics on the transaction data according to the type of transaction operation and perform an update of the statistical data each time an operation is performed on the transaction data.

The statistical data reading module is configured to read the statistical data from the preset storage area during batch settlement.

A third aspect of the embodiments of the present invention provides a terminal device including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, Steps to implement the data statistics method described above.

According to a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the data statistics method described above are implemented.

Beneficial effect

Compared with the prior art, the embodiment of the present invention has the beneficial effect that, in each transaction, the transaction data is counted according to the type of transaction operation, and the statistical data is updated according to the data obtained after the statistical calculation to ensure the statistics. The data can represent the total amount of the current revenue and expenditure in real time, so when batch settlement is required, you can directly read the statistical data, and you don't need to re-traverse all the transaction data again, which solves the time-consuming problem caused by traversing the transaction data. Reduced data read and processing time.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only the present invention. For some embodiments, for those of ordinary skill in the art, other drawings can be obtained according to these drawings without paying creative labor.

FIG. 1 is a schematic structural diagram of a payment application system architecture according to an embodiment of the present invention; FIG.

FIG. 2 is a schematic flowchart of an implementation method of a data statistics method according to an embodiment of the present invention; FIG.

3 is a schematic flowchart of a data processing process according to an embodiment of the present invention;

FIG. 4 is a schematic flowchart of the implementation of step S102 in FIG. 2 according to an embodiment of the present invention; FIG.

5 is a schematic structural diagram of a data statistics system according to an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.

Embodiments of the invention

In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are provided in order to thoroughly understand the embodiments of the present invention. However, it should be clear to a person skilled in the art that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary details.

The term "including" and any other variations in the description and claims of the present invention and the above-mentioned drawings mean "including but not limited to", and are intended to cover non-exclusive inclusion. For example, a process, method or system, product, or device containing a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally includes Other steps or units inherent to these processes, methods, products or equipment. In addition, the terms “first”, “second”, “third”, and the like are used to distinguish different objects, and are not used to describe a specific order.

This application is implemented based on a payment application system architecture. As shown in FIG. 1, the payment application system architecture includes a payment application layer, a middle layer, and a class library.

The payment application layer, including applications (such as BroadPos payment application), is mainly used to implement business processes such as adding consumption, cancelling transactions, modifying transaction data, deleting transactions, and printing small tickets. BroadPos payment application is a bank card payment application developed based on VUE. VUE is a WEB (World Wide Web, World Wide Web) application development framework.

The middle layer, similar to the software operation layer, performs information interaction with the payment application layer and the class library, respectively, for performing the steps of a data statistics method described in this application, including: each transaction data generated by the payment application layer , Insert the transaction database, perform statistics on the transaction data and update the statistics.

Class library, a web application class library provided for the Android operating system, is used to provide operation interfaces to hardware devices, such as the Indexdb database operation interface and localStorag local storage operation interface.

When a user performs a transaction operation on the payment application layer, the payment application layer generates the transaction operation type and transaction data of each transaction. The middle layer obtains the transaction operation type and transaction data through the payment application layer and performs statistics. The middle layer passes the transaction through the class library. The data is stored in the transaction database and the statistical data is stored in a local preset storage area. Exemplarily, the middle layer stores the transaction data into the transaction database through the Indexdb database operation interface, and stores the statistical data into the local preset storage area through the localStorag local storage operation interface.

Taking a specific application scenario as an example, in a scenario using a POS device, the BroadPos payment application runs on a payment device (POS device) and can be used in cashier scenarios such as supermarkets and restaurants. The cashier launches the BroadPos payment application. When a customer makes a purchase, the cashier operates the BroadPos payment application to add a consumption operation. When the customer returns the goods, the cashier operates the BroadPos payment application to cancel the transaction. When the amount is incorrectly entered or the customer returns a part, the cashier operates the BroadPos payment application to modify the transaction data. When a duplicate transaction needs to delete a duplicate transaction, the cashier operates the BroadPos payment application to delete the transaction. At the end of each day, the cashier makes batch settlements, counts the total number of transactions, the total amount of transactions, and the total amount of tips on the day, and prints the statistics.

In order to explain the technical solution of the present invention, the following description is made through specific embodiments.

Examples 1 :

FIG. 2 shows a flowchart for implementing a data statistics method according to an embodiment of the present invention. For ease of description, only relevant parts of the embodiment of the present invention are shown, and the details are as follows:

As shown in FIG. 2, a data statistics method provided by an embodiment of the present invention includes:

Step S101: Create and initialize statistical data, set an initial value of the statistical data, and store the statistical data in a preset storage area.

In this embodiment, the statistical data is data obtained through statistical calculation of transaction data, and includes: the total number of transactions, the total amount of transactions, the total amount of tips, and the like. Exemplarily, the initial value of the statistical data is set to zero.

In step S102, each time the transaction data is operated, the transaction data is counted according to the type of the transaction operation, and the update of the statistical data is performed.

In this embodiment, the types of transaction operations that operate on transaction data generally include: adding consumption, cancelling transactions, modifying transaction data, and deleting transactions. Perform statistical calculations on transaction data according to different types of transaction operations, and update the statistical data to data obtained after statistical calculations.

Step S103: During batch settlement, read the statistical data from the preset storage area.

Batch settlement refers to the summary and accounting of all income and expenditure in a certain period. In the application scenario where POS equipment is used, during batch settlement, the POS device needs to send the total debit amount, total debit amount, total credit amount, and total credit amount to the POS center when the batch transaction flows. Reconcile with POS center.

In one embodiment, after step S103, after the statistical data is read, the statistical data is printed.

In this embodiment, the transaction data is counted according to the type of transaction operation at each transaction, and the statistical data is updated according to the data obtained after the statistical calculation, so as to ensure that the statistical data can represent the total number of accounts in real time. Therefore, when batch settlement is required, the statistical data can be directly read, and there is no need to traverse all the transaction data again, which solves the time-consuming problem caused by traversing the transaction data and reduces the time for data reading and processing.

In an embodiment of the present invention, the data statistics method further includes:

In step a, a transaction database is created and initialized, and an initial state of the transaction database is set.

In one embodiment, setting the initial state of the transaction database in step a includes: setting basic parameters of the database, such as data format, storage capacity, etc., and clearing the database.

Step b: each time the transaction data is operated, the transaction database is updated accordingly.

In one embodiment, updating the transaction database in step b includes: when the transaction operation type is adding consumption, storing the newly added transaction data in the transaction database; when the transaction operation type is canceling the transaction, downloading the transaction data from the transaction. Delete the corresponding transaction data from the database; when the transaction operation type is modify transaction data, modify the corresponding transaction data in the transaction database accordingly; when the transaction operation type is delete transaction, delete the corresponding transaction data from the transaction database Transaction data.

Step c: After the transaction database is successfully updated, update the statistical data.

In one embodiment, step c includes: judging whether the transaction database is successfully updated. If the update is successful, perform the step of updating the statistical data in step S102. If the update is unsuccessful, do not perform the step of updating the statistical data in step S102. .

In this embodiment, a transaction database for storing transaction data is created. Each time the transaction data is operated, new transaction data is generated. The transaction database is updated accordingly according to the new transaction data. The historical transaction data is stored, and new transaction data is continuously added, realizing the continuous update of the transaction database.

Step d, after the batch settlement is completed, reset the statistical data to the initial value, and reset the transaction database to the initial state.

In this embodiment, when the cashier performs batch settlement, the steps performed by the terminal device include: reading statistical data, printing the statistical data, resetting the statistical data to an initial value, and resetting the transaction database to an initial state.

To facilitate understanding, the above embodiment is described below by taking a specific application scenario as an example.

As shown in Figure 3, the transaction database and statistical data processing process includes:

First, determine whether a transaction database exists in the Indexdb database. If it does not exist, create and initialize the transaction database and set the initial state of the transaction database. If it exists, the current transaction database is cleared to restore it to its original state.

Then, it is determined whether statistical data exists in the preset storage area. If it does not exist, create and initialize statistical data and set the initial value of the statistical data. If it exists, reset the statistics to the initial value.

As shown in FIG. 4, in an embodiment of the present invention, step S102 in the embodiment corresponding to FIG. 2 includes:

Step S201: When the transaction operation type is add consumption, add the transaction data to the statistical data on the current basis.

In one embodiment, step S201 includes: when the transaction operation type is adding consumption, storing the newly added transaction data in a transaction database, and determining whether the deposit is successful. If the deposit is successful, the transaction data will be added to the statistical data. If the deposit fails, the statistics are not updated.

Step S202: When the type of the transaction operation is canceling the transaction, subtract the transaction data from the statistical data on the current basis.

In one embodiment, step S202 includes: when the transaction operation type is a cancel transaction, deleting the corresponding transaction data from the transaction database, and determining whether the deletion is successful. If the deletion is successful, the statistical data is subtracted from the transaction data on the current basis. If the deletion fails, the statistics are not updated.

Step S203, when the type of the transaction operation is to modify the transaction data, read the original transaction data and the new transaction data, and calculate the difference between the new transaction data and the original transaction data, and place the statistical data on the current basis. The difference is increased by.

In one embodiment, step S203 includes: when the transaction operation type is modify transaction data, correspondingly modify the corresponding transaction data in the transaction database, and determine whether the modification is successful. If the modification is successful, the difference is added to the statistical data on the current basis. If the modification fails, the statistics are not updated.

Step S204: When the transaction operation type is delete transaction, subtract the transaction data from the statistical data on the current basis.

In one embodiment, step S204 includes: when the transaction operation type is delete transaction, deleting the corresponding transaction data from the transaction database, and determining whether the deletion is successful. If the deletion is successful, the statistical data is subtracted from the transaction data on the current basis. If the deletion fails, the statistics are not updated.

In one embodiment of the present invention, the statistical data includes the total number of transactions, the total amount of transactions, and the total amount of tips.

In the initial state, there is no transaction data in the transaction database. The values of the three data fields: total number of transactions, total amount of transactions, and total amount of tips in the statistics are all zero.

In an embodiment of the present invention, step S102 in the embodiment corresponding to FIG. 2 includes:

1) When the transaction operation type of a transaction is add consumption, add 1 to the total number of transactions, add the total transaction amount to the current consumption transaction amount, and add the total tip amount to this time Tips for consumer transactions.

2) When the transaction operation type of a transaction is cancellation transaction, add 1 to the total number of transactions, subtract the total transaction amount from the current transaction cancellation amount, and subtract the total tip amount from the current transaction amount. Tips for canceling transactions.

3) When the transaction operation type of a transaction is to modify the transaction data, the total number of transactions does not change, the total amount of the transaction plus the difference in the transaction amount, and the total amount of the tip plus the difference in the tip amount Among them, the difference between the transaction amount = the new transaction amount-the original transaction amount, and the difference between the tip amount = the new transaction tip amount-the original transaction tip amount.

4) When the transaction operation type of a transaction is delete transaction, add 1 to the total number of transactions, subtract the total transaction amount from the current delete transaction amount, and subtract the total amount from the tip. Delete transaction tip.

For ease of understanding, this embodiment is described by taking a specific application scenario as an example.

When the transaction operation type of a transaction is add consumption, the newly added transaction data is stored in the transaction database, and it is determined whether the deposit is successful. If the deposit is successful, the total number of transactions is increased by 1, the total amount of the transaction is added to the current transaction amount of the transaction, and the total amount of the tip is added to the current transaction tip. If the deposit fails, the statistics are not updated.

When the transaction operation type of a transaction is undo transaction, the corresponding transaction data is deleted from the transaction database, and it is judged whether the deletion is successful. If the deletion is successful, the total number of transactions is increased by one, the total amount of the transaction is subtracted from the amount of the canceled transaction this time, and the total amount of the tip is subtracted from the current amount of the canceled transaction. . If the deletion fails, the statistics are not updated.

When the transaction operation type of a transaction is to modify the transaction data, the corresponding transaction data in the transaction database is modified accordingly, and it is determined whether the modification is successful. If the modification is successful, the total number of transactions does not change, the total amount of the transaction plus the difference in the transaction amount, and the total amount of the tip plus the difference in the tip amount, where the difference in the transaction amount = the new transaction amount -Original transaction amount, tip amount difference = new transaction tip amount-original transaction tip amount. If the modification fails, the statistics are not updated.

When the transaction operation type of a transaction is delete transaction, the corresponding transaction data is deleted from the transaction database, and it is determined whether the deletion is successful. If the deletion is successful, the total number of transactions is increased by 1, the total transaction amount is subtracted from the current deletion transaction amount, and the total tip amount is subtracted from the current deletion transaction tip. If the deletion fails, the statistics are not updated.

In one embodiment, when performing a query operation on the transaction database, the statistical data is not changed.

In the embodiment of the present invention, when each transaction data is updated to the transaction database, each transaction is counted, and the statistical data is updated at any time. Realize the intensive calculation of the existing statistical massive transaction data, which is dispersed into the addition, deletion, and modification operations when each transaction data enters the transaction database, eliminating the intensive operation of data statistics, and can directly obtain statistical data.

In this solution, the statistical data is individually stored in a preset storage area. When each transaction is added, deleted, or changed, the transaction data is statistically updated and the statistical data is updated. In this way, when performing batch settlement, it is only necessary to read statistical data from a preset storage area and print it, without reading the transaction database and traversing the transaction data. It can solve the time-consuming problem caused when reading the transaction database and traversing the transaction data. Reduced the delay caused by data reading and statistics during batch settlement.

It should be understood that the size of the sequence numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

Examples 2 :

As shown in FIG. 5, a data statistics system 100 provided by an embodiment of the present invention is configured to execute the method steps in the embodiment corresponding to FIG. 2, which includes:

The statistical data creating module 110 is configured to create and initialize statistical data, set an initial value of the statistical data, and store the statistical data in a preset storage area.

The statistical data updating module 120 is configured to perform statistics on the transaction data according to the type of the transaction operation and perform an update of the statistical data each time an operation is performed on the transaction data.

The statistical data reading module 130 is configured to read the statistical data from the preset storage area during batch settlement.

In an embodiment of the present invention, the data statistics system 100 further includes:

A database creation module is used to create and initialize a transaction database and set an initial state of the transaction database.

A database update module is configured to update the transaction database correspondingly each time operation is performed on the transaction data.

An update status judgment module is configured to perform an update of the statistical data after the transaction database is successfully updated.

The resetting module is configured to reset the statistical data to the initial value and reset the transaction database to the initial state after the batch settlement is completed.

In one embodiment of the present invention, the statistical data update module 120 includes:

A first operation unit is configured to add the transaction data to the statistical data on a current basis when the transaction operation type is add consumption.

A second operation unit is configured to subtract the transaction data from the statistical data on a current basis when the transaction operation type is a cancelled transaction.

A third operation unit, configured to read the original transaction data and the new transaction data when the transaction operation type is modified transaction data, and calculate the difference between the new transaction data and the original transaction data, and collect the statistics The data adds the difference on a current basis.

A fourth operation unit is configured to subtract the transaction data from the statistical data on a current basis when the transaction operation type is a delete transaction.

In an embodiment of the present invention, the first operation unit is further configured to add 1 to the total number of transactions and add the total amount of the transaction to this time when the transaction operation type of a transaction is add consumption. The amount of the consumption transaction, the total amount of the tip is added to the current consumption transaction tip.

The second operation unit is further configured to add 1 to the total number of transactions when the type of transaction operation of the transaction is to cancel the transaction, subtract the total amount of the transaction from the amount of the canceled transaction, and reduce the tip. The total amount minus the tip for this cancellation.

The third operation unit is further configured to: when the transaction operation type of a transaction is to modify transaction data, the total number of transactions does not change, add the total amount of the transaction plus the difference in the transaction amount, and change the total amount of the tip Add the tip amount difference, where the transaction amount difference = the new transaction amount-the original transaction amount, and the tip amount difference = the new transaction tip amount-the original transaction tip amount.

The fourth operation unit is further configured to add 1 to the total number of transactions when the transaction operation type of a transaction is delete transaction, subtract the total transaction amount from the current transaction amount, and the tip The total amount minus the current transaction tip.

In one embodiment, the data statistics system 100 further includes other functional modules / units, which are used to implement the method steps of each of the embodiments.

Those skilled in the art can clearly understand that, for the convenience and brevity of the description, only the above-mentioned division of the functional modules is used as an example. In practical applications, the above functions can be allocated by different functional modules as required, that is The internal structure of the data statistics system 100 is divided into different functional modules to complete all or part of the functions described above. Each functional module in the embodiment may be integrated into one processing unit, or each unit may exist separately physically, or two or more units may be integrated into one unit. The above integrated modules may be implemented in the form of hardware. , Can also be implemented in the form of software functional units. In addition, the specific names of the functional modules are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present application. For specific working processes of the modules in the data statistics system 100 described above, reference may be made to the corresponding processes in Embodiment 1, and details are not described herein again.

Examples 3 :

FIG. 6 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in FIG. 6, the terminal device 6 of this embodiment includes a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60. When the processor 60 executes the computer program 62, the steps in the embodiments described in Embodiment 1 are implemented, for example, steps S101 to S103 shown in FIG. 2. Alternatively, when the processor 60 executes the computer program 62, functions of each module / unit in each system embodiment described in Embodiment 2 are implemented, for example, functions of modules 110 to 130 shown in FIG. 5.

The terminal device 6 refers to a terminal with data processing capabilities, including but not limited to POS devices, computers, workstations, servers, and even some smart phones, PDAs, tablets, personal digital assistants (PDAs), TV (Smart TV), etc. An operating system is generally installed on the terminal device, including but not limited to: Windows operating system, Linux operating system, Android operating system, Symbian operating system, Windows mobile operating system, and iOS operating system. The specific examples of the terminal device 6 are listed in detail above, and those skilled in the art can realize that the terminal device is not limited to the above listed examples.

The terminal device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that FIG. 6 is only an example of the terminal device 6 and does not constitute a limitation on the terminal device 6. It may include more or fewer components than shown in the figure, or combine some components or different components For example, the terminal device 6 may further include an input / output device, a network access device, a bus, and the like.

The processor 60 may be a central processing unit (Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), and application-specific integrated circuits (Applications) Specific Integrated Circuit (ASIC), off-the-shelf Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 61 may be an internal storage unit of the terminal device 6, such as a hard disk or a memory of the terminal device 6. The memory 61 may also be an external storage device of the terminal device 6, such as a plug-in hard disk, a smart media card (SMC), and a secure digital (SD) provided on the terminal device 6. 1. flash card Card) and so on. Further, the memory 61 may further include both an internal storage unit of the terminal device 6 and an external storage device. The memory 61 is configured to store the computer program and other programs and data required by the terminal device 6. The memory 61 may also be used to temporarily store data that has been output or is to be output.

Examples 4 :

An embodiment of the present invention further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps in the embodiments described in Embodiment 1 are implemented, for example, as shown in FIG. Steps S101 to S103 shown in FIG. 2. Alternatively, when the computer program is executed by a processor, the functions of each module / unit in each system embodiment described in Embodiment 2 are implemented, for example, the functions of modules 110 to 130 shown in FIG. 5.

The computer program may be stored in a computer-readable storage medium. When the computer program is executed by a processor, the computer program may implement the steps of the foregoing method embodiments. The computer program includes computer program code, and the computer program code may be in a source code form, an object code form, an executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signals, telecommunication signals, and software distribution media.

In the above embodiments, the description of each embodiment has its own emphasis. Embodiments 1 to 4 can be arbitrarily combined, and new embodiments formed after the combination are also within the protection scope of this application. For a part that is not detailed or recorded in an embodiment, reference may be made to related descriptions in other embodiments.

Those of ordinary skill in the art may realize that the units and algorithm steps of each example described in connection with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

In the embodiments provided by the present invention, it should be understood that the disclosed terminal device and method may be implemented in other manners. For example, the system / terminal device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be another division manner, such as multiple units. Or components can be combined or integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, which may be electrical, mechanical or other forms.

The above-mentioned embodiments are only used to illustrate the technical solutions of the present invention, but not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still implement the foregoing implementations. The technical solutions described in the examples are modified, or some of the technical features are equivalently replaced; and these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in Within the scope of the present invention.

Claims

A data statistics method, characterized in that it includes:

Creating and initializing statistical data, setting an initial value of the statistical data, and storing the statistical data in a preset storage area;

Each time operation is performed on the transaction data, statistics are performed on the transaction data according to the type of transaction operation, and update of the statistical data is performed;

During batch settlement, the statistical data is read from the preset storage area.
The data statistics method according to claim 1, further comprising:

Creating and initializing a transaction database, and setting an initial state of the transaction database;

Each time the transaction data is operated, the transaction database is updated accordingly;

After the transaction database is successfully updated, update of the statistical data is performed.
The data statistics method according to claim 2, further comprising:

After the batch settlement is completed, the statistical data is reset to the initial value, and the transaction database is reset to the initial state.
The data statistics method according to claim 1, wherein the performing statistics on the transaction data according to a transaction operation type and performing an update on the statistics data comprises:

When the transaction operation type is add consumption, adding the transaction data to the statistical data on the current basis;

When the transaction operation type is cancel transaction, subtract the transaction data from the statistical data on the current basis;

When the transaction operation type is modified transaction data, read the original transaction data and the new transaction data, and calculate the difference between the new transaction data and the original transaction data, and add the statistical data to the current basis. Mentioned difference;

When the transaction operation type is a delete transaction, the statistical data is subtracted from the transaction data on the current basis.
The data statistics method according to claim 4, wherein the statistical data comprises a total number of transactions, a total amount of transactions, and a total amount of tips.
The data statistics method according to claim 5, wherein the step of performing statistics on the transaction data according to a transaction operation type and performing an update of the statistics data comprises:

When the transaction operation type of a transaction is add consumption, the total number of transactions is increased by 1, the total amount of the transaction is added to the current transaction amount of the transaction, and the total amount of the tip is added to the current consumption. Transaction tip

When the transaction operation type of a transaction is cancellation transaction, add 1 to the total number of transactions, subtract the total transaction amount from the current cancellation transaction amount, and subtract the total tip amount from the current cancellation. Transaction tip

When the transaction operation type of a transaction is to modify transaction data, the total number of transactions does not change, the total amount of the transaction plus the difference in transaction amount, and the total amount of the tip plus the difference in tip amount, where , Difference in transaction amount = new transaction amount-original transaction amount, tip amount difference = new transaction tip amount-original transaction tip amount;

When the transaction operation type of a transaction is delete transaction, add 1 to the total number of transactions, subtract the total transaction amount from the current deletion transaction amount, and subtract the total tip amount from the current deletion. Tipping for transactions.
A data statistics system, comprising:

A statistical data creation module, configured to create and initialize statistical data, set an initial value of the statistical data, and store the statistical data in a preset storage area;

A statistical data update module, configured to perform statistics on the transaction data according to the type of the transaction operation and perform an update of the statistical data each time an operation is performed on the transaction data;

The statistical data reading module is configured to read the statistical data from the preset storage area during batch settlement.
The data statistics system according to claim 7, further comprising:

A database creation module for creating and initializing a transaction database and setting an initial state of the transaction database;

A database update module, configured to update the transaction database correspondingly each time operation is performed on the transaction data;

An update status judgment module is configured to perform an update of the statistical data after the transaction database is successfully updated.
A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the processor implements claims 1 to Steps of the data statistics method according to any one of 6.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps of the data statistics method according to any one of claims 1 to 6. .