CN109118365A - Income calculation method, apparatus and computer readable storage medium - Google Patents
Income calculation method, apparatus and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a kind of income calculation methods comprising: obtain business datum to be calculated and the corresponding business scenario of the business datum to be calculated；Business datum to be calculated is split using distributed computing Hadoop platform based on each business scenario；The first income of user account corresponding to each business scenario is calculated separately based on first business datum using the Hadoop platform；Total revenue based on the corresponding each user account of business datum to be calculated described in first income calculation.The invention also discloses a kind of income calculation device and computer readable storage mediums.The present invention, which is realized, splits business datum to be calculated according to business scenario using Hadoop platform, and calculate separately the corresponding income of business datum after splitting, reduce the data volume calculated using same server, and then the time-consuming that business datum to be calculated carries out income calculation can be substantially reduced, improve the efficiency of income calculation.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of income calculation method, apparatus and computer-readable
Storage medium.
Background technique
Currently, in the finance products such as fund, periodically financing, current financing and insurance, the receipts of most finance products
Benefit needs to calculate daily, and feeds back the corresponding user account of the finance product, allows the user to get information about it and be bought
The current income of finance product.As finance product type of business is continuously increased, each user account may be related to multiple
Business needs to consider that history all in different business scene corresponding to the user account is bought when calculating the income of user
Enter data and history sells data.
Currently, traditional income calculation mode is that all business datums of set are unifiedly calculated.But due to data
Amount is gradually increased, and the complexity for calculating income using traditional income calculation mode is increasing, causes needed for income calculation
Time for wanting increases, while may cause that system is unstable, increases the difficulty of system O&M.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of income calculation method, apparatus and computer readable storage medium, purports
Solving the technical issues of increase of time required for causing income calculation is gradually increased with the corresponding data volume of finance product.
To achieve the above object, the present invention provide income calculation method, the income calculation method the following steps are included:
Obtain business datum to be calculated and the corresponding business scenario of the business datum to be calculated；
Business datum to be calculated is split using distributed computing Hadoop platform based on each business scenario, to obtain
Obtain corresponding first business datum of each business scenario；
First business datum is based on using the Hadoop platform and calculates separately user corresponding to each business scenario
First income of account；
Total revenue based on the corresponding each user account of business datum to be calculated described in first income calculation.
Preferably, it is described based on each business scenario using distributed computing Hadoop platform to business datum to be calculated into
Row split the step of include:
Obtain the priority of each business scenario；
Second business datum and third business are obtained in the business datum to be calculated using the Hadoop platform
Data, wherein second business datum is each industry that priority is greater than pre-set priority in the business datum to be calculated
The corresponding business datum of scene of being engaged in, the third business datum are that second business datum is removed in the business datum to be calculated
Except other business datums；
First business datum is set by second business datum and third business datum.
Preferably, described based on the corresponding each user account of business datum to be calculated described in first income calculation
The step of total revenue includes:
Verification operation is carried out to first income obtained is calculated；
It is corresponding based on business datum to be calculated described in first income calculation when first income is verified
The total revenue of each user account.
Preferably, the step of first income progress verification operation of described pair of calculating acquisition includes:
During two prices before obtaining during current price, the corresponding 4th business number of each business scenario
According to；
The second income of the user account during the default price is calculated based on the 4th business datum；
Verification operation is carried out to second income, wherein when second income is verified, determine described first
Income is verified.
Preferably, the step of first income progress verification operation of described pair of calculating acquisition includes:
Obtain corresponding 5th business datum of each business scenario during previous price；
The third income of the user account during the previous price is calculated based on the 5th business datum；
Verification operation is carried out to the third income, wherein when the third income is verified, determine described first
Income is verified.
Preferably, described based on the corresponding each user account of business datum to be calculated described in first income calculation
After the step of total revenue, the income calculation method further include:
Each user account is updated based on the total revenue.
Preferably, it is described based on each business scenario using distributed computing Hadoop platform to business datum to be calculated into
After the step of row is split, the income calculation method further include:
When getting business datum to be calculated, the type of service of the business datum to be calculated is obtained；
When the type of service is annuity business, the corresponding enterprise's mark of the business datum to be calculated is obtained；
Business datum to be calculated is split using distributed computing Hadoop platform based on enterprise mark, to obtain
It obtains each enterprise and identifies corresponding enterprise business data；
Enterprise corresponding to each enterprise is calculated separately based on the enterprise business data using the Hadoop platform to receive
Benefit.
Preferably, described the enterprise business data to be based on using the Hadoop platform to calculate separately institute of each enterprise right
After the step of enterprise income answered, the income calculation method further include:
Business account corresponding to each enterprise is updated based on the enterprise income.
In addition, to achieve the above object, the present invention also provides a kind of income calculation device, the income calculation device packet
It includes: memory, processor and being stored in the income calculation program that can be run on the memory and on the processor, it is described
Income calculation program realizes the step of income calculation method described in any of the above embodiments when being executed by the processor.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
It is stored with income calculation program on storage medium, is realized described in any of the above-described when the income calculation program is executed by processor
Income calculation method the step of.
The present invention is then based on by obtaining business datum to be calculated and the corresponding business scenario of business datum to be calculated
Each business scenario splits business datum to be calculated using distributed computing Hadoop platform, then flat using Hadoop
Stylobate calculates separately the first income of user account corresponding to each business scenario in the first business datum, finally receives based on first
Benefit calculates the total revenue of the corresponding each user account of business datum to be calculated, realizes using Hadoop platform to industry to be calculated
Business data are split according to business scenario, and calculate separately the corresponding income of business datum after splitting, and then carry out income
Summarize, calculated so that business datum to be calculated is able to carry out fractionation, reduce the data volume calculated using same server,
And then the time-consuming that business datum to be calculated carries out income calculation can be substantially reduced, improve the efficiency of income calculation.
Detailed description of the invention
Fig. 1 is the structure of terminal belonging to income calculation device in hardware running environment that the embodiment of the present invention is related to
Schematic diagram；
Fig. 2 is the flow diagram of income calculation method first embodiment of the present invention；
Fig. 3 is to use distributed computing based on each business scenario in income calculation method second embodiment of the present invention
The refinement flow diagram for the step of Hadoop platform splits business datum to be calculated；
Fig. 4 is in income calculation method 3rd embodiment of the present invention based on business to be calculated described in first income calculation
The refinement flow diagram of the step of total revenue of the corresponding each user account of data；
Fig. 5 is to carry out verifying behaviour to first income for calculating acquisition in income calculation method fourth embodiment of the present invention
The refinement flow diagram for the step of making；
Fig. 6 is to carry out verifying behaviour to first income for calculating acquisition in the 5th embodiment of income calculation method of the present invention
The refinement flow diagram for the step of making；
Fig. 7 is the flow diagram of income calculation method sixth embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
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.
The present invention provides a kind of income calculation device, as shown in Figure 1, Fig. 1 is the hardware that the embodiment of the present invention is related to
The structural schematic diagram of terminal belonging to income calculation device in running environment.
The terminal of that embodiment of the invention can be PC, be also possible to the movable types such as smart phone, tablet computer, portable computer
Terminal device.
As shown in Figure 1, the terminal may include: processor 1001, such as CPU, network interface 1004, user interface
1003, memory 1005, communication bus 1002.Wherein, communication bus 1002 is for realizing the connection communication between these components.
User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard), optional user interface
1003 can also include standard wireline interface and wireless interface.Network interface 1004 optionally may include that the wired of standard connects
Mouth, wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to stable memory
(non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor
1001 storage device.
Optionally, terminal can also include camera, RF (Radio Frequency, radio frequency) circuit, sensor, audio
Circuit, WiFi module etc..Wherein, sensor such as optical sensor, motion sensor and other sensors.Specifically, light
Sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can according to the light and shade of ambient light come
The brightness of display screen is adjusted, proximity sensor can close display screen and/or backlight when mobile terminal is moved in one's ear.As
One kind of motion sensor, gravity accelerometer can detect the size of (generally three axis) acceleration in all directions, quiet
Size and the direction that can detect that gravity when only, the application that can be used to identify mobile terminal posture are (such as horizontal/vertical screen switching, related
Game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；Certainly, mobile terminal can also match
The other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor are set, details are not described herein.
It will be understood by those skilled in the art that the restriction of the not structure paired terminal of terminal structure shown in Fig. 1, can wrap
It includes than illustrating more or fewer components, perhaps combines certain components or different component layouts.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe module, Subscriber Interface Module SIM and income calculation program.
In terminal shown in Fig. 1, network interface 1004 is mainly used for connecting background server, carries out with background server
Data communication；User interface 1003 is mainly used for connecting client (user terminal), carries out data communication with client；And processor
1001 can be used for calling the income calculation program stored in memory 1005.
In the present embodiment, which includes: memory 1005, processor 1001 and is stored in the storage
On device and the income calculation program that can run on the processor, in which:
When processor 1001 calls the income calculation program stored in memory 1005, following operation is executed:
Obtain business datum to be calculated and the corresponding business scenario of the business datum to be calculated；
Business datum to be calculated is split using distributed computing Hadoop platform based on each business scenario, to obtain
Obtain corresponding first business datum of each business scenario；
First business datum is based on using the Hadoop platform and calculates separately user corresponding to each business scenario
First income of account；
Total revenue based on the corresponding each user account of business datum to be calculated described in first income calculation.
Further, when processor 1001 calls the income calculation program stored in memory 1005, following behaviour is also executed
Make:
Obtain the priority of each business scenario；
Second business datum and third business are obtained in the business datum to be calculated using the Hadoop platform
Data, wherein second business datum is each industry that priority is greater than pre-set priority in the business datum to be calculated
The corresponding business datum of scene of being engaged in, the third business datum are that second business datum is removed in the business datum to be calculated
Except other business datums；
First business datum is set by second business datum and third business datum.
Further, when processor 1001 calls the income calculation program stored in memory 1005, following behaviour is also executed
Make:
Verification operation is carried out to first income obtained is calculated；
It is corresponding based on business datum to be calculated described in first income calculation when first income is verified
The total revenue of each user account.
Further, when processor 1001 calls the income calculation program stored in memory 1005, following behaviour is also executed
Make:
During two prices before obtaining during current price, the corresponding 4th business number of each business scenario
According to；
The second income of the user account during the default price is calculated based on the 4th business datum；
Verification operation is carried out to second income, wherein when second income is verified, determine described first
Income is verified.
Further, when processor 1001 calls the income calculation program stored in memory 1005, following behaviour is also executed
Make:
Obtain corresponding 5th business datum of each business scenario during previous price；
The third income of the user account during the previous price is calculated based on the 5th business datum；
Verification operation is carried out to the third income, wherein when the third income is verified, determine described first
Income is verified.
Further, when processor 1001 calls the income calculation program stored in memory 1005, following behaviour is also executed
Make:
Each user account is updated based on the total revenue.
Further, when processor 1001 calls the income calculation program stored in memory 1005, following behaviour is also executed
Make:
When getting business datum to be calculated, the type of service of the business datum to be calculated is obtained；
When the type of service is annuity business, the corresponding enterprise's mark of the business datum to be calculated is obtained；
Business datum to be calculated is split using distributed computing Hadoop platform based on enterprise mark, to obtain
It obtains each enterprise and identifies corresponding enterprise business data；
Enterprise corresponding to each enterprise is calculated separately based on the enterprise business data using the Hadoop platform to receive
Benefit.
Further, when processor 1001 calls the income calculation program stored in memory 1005, following behaviour is also executed
Make:
Business account corresponding to each enterprise is updated based on the enterprise income.
The present invention further provides a kind of income calculation methods.It is income calculation method first of the present invention referring to Fig. 2, Fig. 2
The flow diagram of embodiment.
In the present embodiment, which includes:
Step S10 obtains business datum to be calculated and the corresponding business scenario of the business datum to be calculated；
In the finance products such as fund, periodically financing, current financing, the income of most finance products needs meter daily
It calculates, and feeds back to the corresponding user account of the finance product, allow the user to get information about its finance product bought
Current income, therefore, it is first determined business datum to be calculated, wherein the business datum to be calculated is related to user to be all
Data relevant to income in the corresponding all business scenarios of the data of income, the i.e. user account, business scenario include payment,
Quota payment, fixed installment payment, one-time payment, amount of money redemption, share redemption, payable by installment, irregularly payment, account tune
One or more of whole, leaving office and the business scenarios such as outside the plan turn.
In the present embodiment, the different income calculation moment can be set according to different finance products, alternatively, to all
The income calculation moment that the business datum setting of business scenario is fixed obtains when reaching the calculating moment at current time wait count
Calculate business datum.Specifically, business datum to be calculated can be obtained according to preset rules, then according to the business datum to be calculated
Its corresponding business scenario is determined, for example, preset rules include obtaining pre-set business scene (said one or multiple business fields
Scape) business datum, and then can be obtained according to data transmission interface predetermined pre-set business scene business datum and
The identification information of each business scenario in pre-set business scene, and the whole business datums that will acquire are as business to be calculated
Therefore data can determine the corresponding business scenario of the business datum to be calculated according to identification information, i.e., in business datum to be calculated
Each business datum belonging to business scenario.It preferably, can also be by the business datum and pre-set business of pre-set business scene
The identification information of each business scenario in scene is used as business datum to be calculated after being associated, can be to be calculated by parsing this
Business datum obtains the identification information, and then determines the corresponding business scenario of business datum to be calculated according to the identification information.Its
In, obtaining business datum to be calculated according to preset rules includes obtaining number relevant to income corresponding to all user accounts
According to then obtaining data relevant to income, that is, business to be calculated number in business scenario alternatively, business scenario can also be obtained
According to.
Step S20 carries out business datum to be calculated using distributed computing Hadoop platform based on each business scenario
It splits, to obtain corresponding first business datum of each business scenario；
Wherein, Hadoop platform is a distributed system infrastructure platform, can carry out high speed point using cluster
Cloth operation and storage.
In the present embodiment, when getting business datum to be calculated and corresponding business scenario, it is based on each business
Scene splits business datum to be calculated using Hadoop platform, and specifically, business datum to be calculated includes each group business
The identification information of business scenario belonging to data can accurately determine industry belonging to each group business datum by the identification information
Business scene, and then the business datum that business datum to be calculated is included accurately is classified according to business scenario, and will divide
Business datum to be calculated after class is split, and corresponding first business datum of each business scenario is obtained, by business to be calculated
The business datum of each business scenario is as one group of business datum in data, and using each group business datum as the first business number
According to i.e. the first business datum includes multiple groups business datum, and each group of business datum belongs to different business scenarios, in order to use
The Hadoop platform calculates separately the corresponding user's income of each business scenario.
Wherein, as the identification information that business datum to be calculated includes business scenario belonging to each group business datum, and
The data format of business datum corresponding to different business scenarios is different, therefore, can be according to the mark of each business scenario
Information and data format split business datum to be calculated, for example, it is to pay that business datum to be calculated, which includes identification information,
Take the business datum of the identification information of scene, the head data of the business datum can be determined according to the corresponding data format of payment scene
And mantissa's evidence, and then by this data, mantissa according to and data between of head data and mantissa be the business of scene of paying the fees
The business datum of data, scene of paying the fees certainly can also include other data；It in the manner described above can be by business number to be calculated
According to accurately being split, corresponding first business datum of each business scenario is obtained.
In addition, the type of business scenario includes item business scenario and entering a business scenario, for example, the business scenario of payment
To go out item business scenario, quota payment, fixed installment payment, one-time payment, payable by installment, the irregularly business scenarios such as payment
To enter a business scenario.When splitting to processing business data, the type of business scenario first is classified, and item business is obtained out
Scene it is corresponding go out item business datum, and enter a business scenario it is corresponding enter a business datum, then judge a business number
Whether existed simultaneously according to corresponding user account and enter user account corresponding to a business datum, that is, determined whether there is same
When have fund flow into and fund outflow user account, exist simultaneously have fund flow into and fund flow out user account when,
According to the data of the user account in item business datum out and enter the data of the user account in a business datum, judgement should
Whether the revenue and expenditure of user account offsets, i.e., fund flow into and fund outflow it is identical, if making ends meet, item business datum out with
And enter and delete data corresponding to the user account in a business datum, due to making ends meet for the user account, the use
There is currently no incomes for family account, there is no need to calculate the income of the user account, and then can reduce calculate user's income when
Data volume.By the data for the user account made ends meet delete after, according still further to business scenario to item business datum out with
And enters a business datum and split again.
Step S30 is based on first business datum using the Hadoop platform and calculates separately each business scenario institute
First income of corresponding user account；
In this embodiment, it is split to business datum to be calculated, obtains each group corresponding to each business scenario
After one business datum, the first business datum is based on using the Hadoop platform and calculates separately user corresponding to each business scenario
First income of account.Due to including multiple cluster servers in Hadoop platform, it can be distributed for each business scenario
One independent cluster server, so that the cluster server is only used for calculating corresponding first business datum of the business scenario,
And then the data volume calculated in same server can be greatly reduced, and then reduce the time that data calculate.
Wherein, the corresponding income of user account during which is current price, for the business field of fixed interest
Scape, for example, the finance product of annual interest rate 10%, first income are as follows: the investment total amount * 10%* price bucket days of the user/
365, wherein be 7 days during corresponding price for general finance product.
Step S40, based on the total of the corresponding each user account of business datum to be calculated described in first income calculation
Income.
In the present embodiment, in each business scenario is calculated when the first income of user, to each user account
Corresponding income is integrated, and then obtains the total revenue of each user account.
Further, in one embodiment, after the step s 40, income calculation method further include:
Each user account is updated based on the total revenue.
Specifically, the remaining sum of each user account is obtained, and based on the total revenue being calculated and the balance updates pair
The user account answered, for example, the remaining sum in a certain user account is 5W member, when the corresponding total revenue of the user account is 500 yuan,
The remaining sum of the user account is 5.05W member after update.
Certainly, when obtaining the total revenue of each user account corresponding to business datum to be calculated, it is based on the total revenue
Update the account amount of money of each user account corresponding to the business datum to be calculated.It is, of course, also possible to according to each account
Presupposed information is sent corresponding to current total revenue and account amount of money to the user account by modes such as short message, mail, wechats
Default terminal.
The income calculation method that the present embodiment proposes, by obtaining business datum to be calculated and business datum pair to be calculated
The business scenario answered then carries out business datum to be calculated using distributed computing Hadoop platform based on each business scenario
It splits, then calculates separately the of user account corresponding to each business scenario based on the first business datum using Hadoop platform
One income, the total revenue finally based on the corresponding each user account of the first income calculation business datum to be calculated, realizes and adopts
Business datum to be calculated is split according to business scenario with Hadoop platform, and calculates separately the business datum pair after splitting
The income answered then carries out income and summarizes, calculates, reduce using same so that business datum to be calculated is able to carry out fractionation
The data volume that one server calculates, and then the time-consuming that business datum to be calculated carries out income calculation can be substantially reduced, it improves
The efficiency of income calculation.
Based on first embodiment, the second embodiment of income calculation method of the present invention is proposed, referring to Fig. 3, in the present embodiment
In, step S20 includes:
Step S21 obtains the priority of each business scenario；
Under normal circumstances, the biggish business scenario of data volume is existed simultaneously in business datum to be calculated and data volume is smaller
Business scenario, for example, the data volume for buying in and selling corresponding business scenario is larger, and be similar to the business such as account adjustment
The data volume of scene then can be smaller, therefore, can be right for data volume handled by each cluster server in balance Hadoop platform
Corresponding priority is arranged in each business scenario, is then split according to priority, to reduce each first business after fractionation
The gap of data volume between data, and then improve the efficiency of data processing.
In the present embodiment, when getting business datum to be calculated and corresponding business scenario, each business is obtained
The priority of scene, wherein the priority of each business scenario can be reasonably arranged according to practical, for example, for going through
The more business scenario of history data, is arranged higher priority, and the business scenario less for historical data, settable lower
Priority.
Step S22, based on each business scenario and the priority using distributed computing Hadoop platform to be calculated
Business datum is split, to obtain the second business datum and third business datum, wherein second business datum is institute
State the corresponding business datum of each business scenario that priority in business datum to be calculated is greater than pre-set priority, the third industry
Data of being engaged in are other business datums in the business datum to be calculated in addition to second business datum；
In the present embodiment, obtain business datum to be calculated for business scenario priority when, be based on each industry
Business scene and each business scenario for priority business datum to be calculated is split using Hadoop platform, in turn
Obtain the second business datum and third business datum, wherein the second business datum is that priority is big in business datum to be calculated
In the corresponding business datum of each business scenario of pre-set priority, third business datum is that second is removed in business datum to be calculated
Other business datums except business datum.Specifically, the priority of above-mentioned each business scenario and pre-set priority are carried out
Comparison obtains the business that priority is less than or equal to pre-set priority greater than the business scenario and priority of pre-set priority
Scene, using priority in business datum to be calculated be greater than pre-set priority business scenario corresponding to each group business datum as
Priority in business datum to be calculated is less than or equal to each corresponding to the business scenario of pre-set priority by the second business datum
Group business datum is as third business datum, for example, the business scenario that priority is greater than pre-set priority is multiple business scenarios
When, the second business datum is the corresponding each group business datum of multiple business scenario, i.e. the second business datum includes multiple groups business
Data, each group of business datum belong to the business scenario that different priority is greater than pre-set priority, and remaining priority is equal to
Or each business scenario less than pre-set priority, corresponding business datum group are combined into one group of data i.e. third business datum.
Further, in one embodiment, business to be calculated can also be torn open using other modes according to priority
Point, for example, being greater than each business scenario of the first pre-set priority, corresponding industry for priority in business datum to be calculated
Business data are individual one group of data；For priority in business datum to be calculated be less than or equal to the first pre-set priority and
Greater than the business scenario of the second priority, the data of two business scenarios therein can be combined to fractionation, i.e. two industry
Be engaged in scene for data be one group of data；It is less than or equal to the industry of the second priority for priority in business datum to be calculated
The business datum of all business scenarios, can be integrated into one group of data by business scene.
Second business datum and third business datum are set first business datum by step S23.
In the present embodiment, the second business datum of acquisition and third business datum are being split, directly by second business
Data and third business datum make the first business datum include that priority is preferential greater than default as the first business datum
The corresponding each group business datum of business scenario and priority of grade are less than or equal to the business of the business scenario of pre-set priority
One group of data, that is, third business datum of data combination.
The income calculation method that the present embodiment proposes then is used by obtaining the priority of each business scenario
Hadoop platform obtains the second business datum and third business datum in business datum to be calculated, then by the second business number
Accordingly and third business datum is set as the first business datum, realizes the priority using each business scenario to industry to be calculated
Business data are split, and greatly reduce the gap between the data volume between the first business datum of each group after splitting, in turn
When calculating the first income of user account corresponding to each business scenario, when enabling to the calculating of the first business datum of each group
Between it is more balanced, reduce the first business datum calculate complete the moment between time difference, and then avoid data volume it is less first
Business datum wastes system resource because falling into a long wait when calculating completion.
Based on first embodiment, the 3rd embodiment of income calculation method of the present invention is proposed, referring to Fig. 4, in the present embodiment
In, step S40 includes:
Step S41 carries out verification operation to first income obtained is calculated；
In the present embodiment, to avoid calculating the first income obtained, there are mistakes, and each business scenario is being calculated
When the first income of middle user, verification operation is carried out to the first income obtained is calculated, to guarantee the correct of each first income
Property, it avoids causing adverse effect to user because of error in data.
Step S42, when first income is verified, based on business number to be calculated described in first income calculation
According to the total revenue of corresponding each user account.
In the present embodiment, when the first income is verified, income corresponding to each user account is integrated,
And then obtain the total revenue of each user account.
The income calculation method that the present embodiment proposes, by carrying out verification operation to the first income for calculating acquisition, then
When the first income is verified, total receipts based on the corresponding each user account of the first income calculation business datum to be calculated
Benefit is realized and is verified to the first income, to guarantee the accuracy of the first income, and then can ensure each user account
Total revenue is accurate, improves the accuracy of income calculation, avoids causing adverse effect to user because of error in data.
Based on 3rd embodiment, the fourth embodiment of income calculation method of the present invention is proposed, referring to Fig. 5, in the present embodiment
In, step S41 includes:
Step S411, during two before obtaining during currently fixing a price are fixed a price, each business scenario is corresponding
4th business datum；
In the present embodiment, when being verified to the first data, it can be verified, that is, be obtained according to history service data
Corresponding 4th business datum of each business scenario during default price before taking during current price, in order to according to should
Whether the 4th business datum, the first income of verifying correct, wherein the 4th business datum be current price during before two it is fixed
During valence, the business datum of each business scenario corresponding to business datum to be calculated.In one embodiment, due to currently fixed
During default price before during valence, it is understood that there may be therefore the case where user account is nullified, can directly acquire each business
Corresponding 4th business datum of user account in scene.
Step S412 calculates second of the user account during the default price based on the 4th business datum
Income；
In the present embodiment, when getting four business datums, each business scenario pair during default price is calculated
Second income of the user account answered, second income include the income of user account during the first two price, wherein this
Two incomes can for the first two price during user account income, it is corresponding every during also may include the first two price
The income of user account during one price, for example, passing through for the business scenario that the amount of money in the 4th business datum is redeemed
The data meters such as the interest after total value and/or redemption before the amount of money of the redemption in the 4th business datum in the business scenario, redemption
Calculate the income of each user account corresponding to the business scenario；User's account in 4th business datum in all business scenarios
The income at family is the second income, for a certain user account for being related to multiple business scenarios, includes in the second income
The income of multiple user accounts, quantity are consistent with the quantity of business scenario involved by the user account.
Step S413 carries out verification operation to second income, when second income is verified, described in determination
First income is verified.
In the present embodiment, when obtaining the second income, by the way that second income to be compared with historical yield,
When two incomes are the sum of the income of user account during the first two is fixed a price, the historical yield is corresponding during being the first two price
The sum of first income of user account, user during each corresponding price during the second income is the first two price
The income of account, the first income of corresponding user account during which includes the first two price.Specifically, it is determined that each
The first income of history of user account corresponding to a second income, then compares second income and the first income of history
Compared with when than more consistent, the second income is verified, and then determines that the first income is verified.
The income calculation method that the present embodiment proposes, by two prices before during obtaining current price during,
Corresponding 4th business datum of each business scenario then calculates user account during default price based on the 4th business datum
The second income, then to the second income carry out verification operation, wherein when the second income is verified, determine the first income
Be verified, realize according to the first two price during corresponding 4th business datum pair of user account in business scenario
First income is verified, i.e., when the second income obtained according to the 4th business datum verifies no problem, which is tested
Card passes through, and then the first income can be accurately verified according to historical data, improves the accuracy of income calculation, further mentions
The high efficiency of income calculation.By individually being verified to corresponding first income of each business scenario, improves income and test
The efficiency of card, and when the corresponding first income verifying of a certain business scenario does not pass through, it can be corresponding according to the business scenario
Historical data individually veritified and calculated, it is ensured that the accuracy of corresponding first income of the business scenario can be reduced
The data volume of income verification, and then improve the efficiency of income verification.
Based on 3rd embodiment, the 5th embodiment of income calculation method of the present invention is proposed, referring to Fig. 6, in the present embodiment
In, step S41 includes:
Step S414 obtains corresponding 5th business datum of each business scenario during previous price；
In the present embodiment, when verifying to the first data, the current price phase is determined first by the way of retrodicting
Between previous price during the corresponding income of user account in each business scenario it is whether correct, therefore, obtain first
Corresponding 5th business datum of each business scenario during previous price, wherein during the 5th business datum is current price
During before one price, the business datum of each business scenario corresponding to business datum to be calculated, in an embodiment
In, during the default price before during currently fixing a price, it is understood that there may be the case where user account is nullified, it therefore, can be straight
It obtains and takes corresponding 5th business datum of user account in each business scenario.
Step S415 calculates the third of the user account during the previous price based on the 5th business datum
Income；
In the present embodiment, when getting five business datums, each user account during previous price is calculated
Third income.
Step S416 carries out verification operation to the third income, wherein when the third income is verified, really
Fixed first income is verified.
In the present embodiment, when obtaining third income, by the way that the third income to be compared with historical yield,
It when three incomes are consistent with the first income of history, determines that third income is verified, and then determines that the first income is verified.This is gone through
The first income of history is the first income of corresponding user account during previous price, i.e., the use of acquisition is calculated during previous price
First income of family account, for example, passing through the 5th business datum for the business scenario that the amount of money in the 5th business datum is redeemed
In the data such as interest after total value and/or redemption before the amount of money of redemption in the business scenario, redemption calculate the business scenario
The income of corresponding each user account；The income of user account in 5th business datum in all business scenarios is
Third income includes multiple user accounts in income for a certain user account for being related to multiple business scenarios
Income, quantity is consistent with the quantity of business scenario involved by the user account.
Further, in one embodiment, if there is the unsanctioned user's income of verifying in third income, it is determined that test
Demonstrate,prove the corresponding business scenario of unsanctioned user's income；During one before during obtaining previous price is fixed a price, business scenario
Corresponding 6th business datum；And calculate the 4th income that the 6th business datum corresponds to user account；4th income is tested
Card operation, wherein when the 4th income is verified, calculated in the business scenario based on the 4th income and the 6th business datum
The corresponding income of user account, and verification operation is carried out, when verification passes through, determine that the first income is verified.
The income calculation method that the present embodiment proposes, by obtaining previous price during each business scenario corresponding the
Five business datums then calculate the third income of user account during previous price, then to based on the 5th business datum
Three incomes carry out verification operation, wherein when third income is verified, determines that the first income is verified, realize basis
Corresponding 5th business datum of user account during previous price in business scenario verifies the first income, Jin Erneng
It is enough that the first income is accurately verified according to historical data, the accuracy of income calculation is improved, income calculation is further improved
Efficiency.By individually being verified to corresponding first income of each business scenario, the efficiency of income verifying is improved, and
When the corresponding first income verifying of a certain business scenario does not pass through, can be carried out according to the corresponding historical data of the business scenario
It individually veritifies and calculates, it is ensured that the accuracy of corresponding first income of the business scenario can reduce the data of income verification
Amount, and then improve the efficiency of income verification.
Based on above-described embodiment, the sixth embodiment of income calculation method of the present invention is proposed, referring to Fig. 7, in this implementation
In example, the income calculation method further include:
Step S50 obtains the type of service of the business datum to be calculated when getting business datum to be calculated；
In the present embodiment, when getting business datum to be calculated, the type of service of the business datum to be calculated is determined,
For example, the type of service of the business datum to be calculated is annuity business when finance product is supplementary pension.
Step S60 obtains the corresponding enterprise's mark of the business datum to be calculated when the type of service is annuity business
Know；
In the present embodiment, determining that the business datum to be calculated is annuity according to the type of service of business datum to be calculated
When the business datum of business, enterprise's mark of all enterprises corresponding to the business datum to be calculated is obtained, wherein in enterprise year
Jin Zhong, each enterprise identify corresponding only one enterprise.
Step S70 carries out business datum to be calculated using distributed computing Hadoop platform based on enterprise mark
It splits, identifies corresponding enterprise business data to obtain each enterprise；
In the present embodiment, it when getting business datum to be calculated corresponding enterprise mark, is used based on enterprise's mark
Distributed computing Hadoop platform splits business datum to be calculated, obtains each enterprise and identifies corresponding business event number
According to the corresponding business datum of each enterprise during that is, current price.
Step S80 is based on the enterprise business data using the Hadoop platform and calculates separately corresponding to each enterprise
Enterprise income.
Obtain each enterprise enterprise business data when, using Hadoop platform by enterprise business data respectively based on
Enterprise income corresponding to each enterprise is calculated, due to including multiple cluster servers in Hadoop platform, can be each group
Enterprise business data distributes an independent cluster server, so that the cluster server is only used for calculating the business event number
According to, and then the data volume calculated in same server can be greatly reduced, and then reduce the time that data calculate.
Further, in one embodiment, after step S80, the income calculation method further include: be based on the enterprise
Income updates business account corresponding to each enterprise.
Specifically, the remaining sum that each enterprise identifies corresponding business account is first obtained, then identifies each enterprise
Corresponding enterprise income updates corresponding business account after being added with the remaining sum of business account.
Preferably, in one embodiment, after calculating enterprise income corresponding to each enterprise of acquisition, the income calculation
Method further include:
Verification operation is carried out to the enterprise income, when enterprise income is verified, is updated based on the enterprise income
Business account corresponding to each enterprise.
In the present embodiment, the mode retrodicted can be used and verify the current enterprise income for calculating and obtaining, specific verification process ginseng
According to fourth embodiment and the 5th embodiment, repeat no more in the present embodiment.
The income calculation method that the present embodiment proposes, by when getting business datum to be calculated, obtaining industry to be calculated
The type of service for data of being engaged in obtains the corresponding enterprise's mark of business datum to be calculated then when type of service is annuity business,
Then business datum to be calculated is split using distributed computing Hadoop platform based on enterprise's mark, to obtain each enterprise
Industry identifies corresponding enterprise business data, is finally based on enterprise business data using Hadoop platform and calculates separately each institute of enterprise
Corresponding enterprise income is realized and is split to business datum to be calculated according to enterprise's mark using Hadoop platform, and point
The corresponding income of business datum after Ji Suan not splitting then carries out income and summarizes, so that business datum to be calculated can
Fractionation calculating is carried out, reduces the data volume calculated using same server, and then business datum to be calculated can be substantially reduced
The time-consuming for carrying out income calculation, improves the efficiency of income calculation.
The present invention also provides a kind of computer readable storage mediums, in the present embodiment, on computer readable storage medium
It is stored with income calculation program, in which:
Income calculation program realizes following steps when being executed by the processor:
Obtain business datum to be calculated and the corresponding business scenario of the business datum to be calculated；
Business datum to be calculated is split using distributed computing Hadoop platform based on each business scenario, to obtain
Obtain corresponding first business datum of each business scenario；
First business datum is based on using the Hadoop platform and calculates separately user corresponding to each business scenario
First income of account；
Total revenue based on the corresponding each user account of business datum to be calculated described in first income calculation.
Further, following operation is also realized when the income calculation program is executed by processor:
Obtain the priority of each business scenario；
Second business datum and third business are obtained in the business datum to be calculated using the Hadoop platform
Data, wherein second business datum is each industry that priority is greater than pre-set priority in the business datum to be calculated
The corresponding business datum of scene of being engaged in, the third business datum are that second business datum is removed in the business datum to be calculated
Except other business datums；
First business datum is set by second business datum and third business datum.
Further, following operation is also realized when the income calculation program is executed by processor:
Verification operation is carried out to first income obtained is calculated；
It is corresponding based on business datum to be calculated described in first income calculation when first income is verified
The total revenue of each user account.
Further, following operation is also realized when the income calculation program is executed by processor:
During two prices before obtaining during current price, the corresponding 4th business number of each business scenario
According to；
The second income of the user account during the default price is calculated based on the 4th business datum；
Verification operation is carried out to second income, wherein when second income is verified, determine described first
Income is verified.
Further, following operation is also realized when the income calculation program is executed by processor:
Obtain corresponding 5th business datum of each business scenario during previous price；
The third income of the user account during the previous price is calculated based on the 5th business datum；
Verification operation is carried out to the third income, wherein when the third income is verified, determine described first
Income is verified.
Further, following operation is also realized when the income calculation program is executed by processor:
Each user account is updated based on the total revenue.
Further, following operation is also realized when the income calculation program is executed by processor:
When getting business datum to be calculated, the type of service of the business datum to be calculated is obtained；
When the type of service is annuity business, the corresponding enterprise's mark of the business datum to be calculated is obtained；
Business datum to be calculated is split using distributed computing Hadoop platform based on enterprise mark, to obtain
It obtains each enterprise and identifies corresponding enterprise business data；
Enterprise corresponding to each enterprise is calculated separately based on the enterprise business data using the Hadoop platform to receive
Benefit.
Further, following operation is also realized when the income calculation program is executed by processor:
Business account corresponding to each enterprise is updated based on the enterprise income.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of income calculation method, which is characterized in that the income calculation method the following steps are included:
Obtain business datum to be calculated and the corresponding business scenario of the business datum to be calculated；
Business datum to be calculated is split using distributed computing Hadoop platform based on each business scenario, it is each to obtain
Corresponding first business datum of a business scenario；
First business datum is based on using the Hadoop platform and calculates separately user account corresponding to each business scenario
The first income；
Total revenue based on the corresponding each user account of business datum to be calculated described in first income calculation.
2. income calculation method as described in claim 1, which is characterized in that described to use distribution based on each business scenario
Calculating the step of Hadoop platform splits business datum to be calculated includes:
Obtain the priority of each business scenario；
Second business datum and third business datum are obtained in the business datum to be calculated using the Hadoop platform,
Wherein, second business datum is each business scenario that priority is greater than pre-set priority in the business datum to be calculated
Corresponding business datum, the third business datum be the business datum to be calculated in addition to second business datum
Other business datums；
First business datum is set by second business datum and third business datum.
3. income calculation method as described in claim 1, which is characterized in that it is described based on described in first income calculation to
The step of calculating the total revenue of the corresponding each user account of business datum include:
Verification operation is carried out to first income obtained is calculated；
It is corresponding each based on business datum to be calculated described in first income calculation when first income is verified
The total revenue of user account.
4. income calculation method as claimed in claim 3, which is characterized in that described pair calculate obtain first income into
The step of row verification operation includes:
During two prices before obtaining during current price, corresponding 4th business datum of each business scenario；
The second income of the user account during the default price is calculated based on the 4th business datum；
Verification operation is carried out to second income, wherein when second income is verified, determine first income
It is verified.
5. income calculation method as claimed in claim 3, which is characterized in that described pair calculate obtain first income into
The step of row verification operation includes:
Obtain corresponding 5th business datum of each business scenario during previous price；
The third income of the user account during the previous price is calculated based on the 5th business datum；
Verification operation is carried out to the third income, wherein when the third income is verified, determine first income
It is verified.
6. income calculation method as described in claim 1, which is characterized in that it is described based on described in first income calculation to
After the step of calculating the total revenue of the corresponding each user account of business datum, the income calculation method further include:
Each user account is updated based on the total revenue.
7. such as income calculation method as claimed in any one of claims 1 to 6, which is characterized in that described to be based on each business scenario
After the step of being split using distributed computing Hadoop platform to business datum to be calculated, the income calculation method is also
Include:
When getting business datum to be calculated, the type of service of the business datum to be calculated is obtained；
When the type of service is annuity business, the corresponding enterprise's mark of the business datum to be calculated is obtained；
Business datum to be calculated is split using distributed computing Hadoop platform based on enterprise mark, it is each to obtain
A enterprise identifies corresponding enterprise business data；
Enterprise income corresponding to each enterprise is calculated separately based on the enterprise business data using the Hadoop platform.
8. income calculation method as claimed in claim 7, which is characterized in that described to use the Hadoop platform based on described
After enterprise business data calculates separately the step of enterprise income corresponding to each enterprise, the income calculation method is also wrapped
It includes:
Business account corresponding to each enterprise is updated based on the enterprise income.
9. a kind of income calculation device, which is characterized in that the income calculation device includes: memory, processor and is stored in
On the memory and the income calculation program that can run on the processor, the income calculation program is by the processor
It realizes when execution such as the step of income calculation method described in any item of the claim 1 to 8.
10. a kind of computer readable storage medium, which is characterized in that store the meter that bears interest on the computer readable storage medium
Program is calculated, such as income calculation described in any item of the claim 1 to 8 is realized when the income calculation program is executed by processor
The step of method.
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| CN201710497395.4A CN109118365A (en) | 2017-06-26 | 2017-06-26 | Income calculation method, apparatus and computer readable storage medium |
| PCT/CN2018/076160 WO2019000962A1 (en) | 2017-06-26 | 2018-02-10 | Revenue calculation method and device, and computer readable storage medium |
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