CN107292653A - One kind retail warehoused cargo calculation of price method and device - Google Patents

One kind retail warehoused cargo calculation of price method and device Download PDF

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Publication number
CN107292653A
CN107292653A CN201610224888.6A CN201610224888A CN107292653A CN 107292653 A CN107292653 A CN 107292653A CN 201610224888 A CN201610224888 A CN 201610224888A CN 107292653 A CN107292653 A CN 107292653A
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business datum
data
warehoused cargo
price
business
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胡昭辉
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Priority to CN201610224888.6A priority Critical patent/CN107292653A/en
Publication of CN107292653A publication Critical patent/CN107292653A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Accounting & Taxation (AREA)
  • General Engineering & Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a kind of retail warehoused cargo calculation of price method and device, and this method includes:The business datum that business object obtains warehoused cargo is marked to storage data;The business datum obtained is preserved using NoSQL databases;According to prefixed time interval, business datum is read from NoSQL databases;Warehoused cargo price is calculated according to the business datum of reading.The warehoused cargo calculation of price method and device of the optimization provided by the present invention, under the premise of ensureing that calculating data are accurate, effectively increases the stability for the whole process for calculating warehoused cargo price, influence of the reduction service computation mode to operation system.

Description

One kind retail warehoused cargo calculation of price method and device
Technical field
The present invention relates to e-commerce field, and in particular to one kind retail warehoused cargo calculation of price Method and device.
Background technology
System is needed with calculating warehoused cargo due to obtaining the warehoused cargo pricing information of electric business The related all business datums of price, and obtaining warehoused cargo pricing information in the prior art is pair Related all business datums are calculated and drawn according to weighted mean method.If however, There is mistake in some business datums in a period of time, then be accomplished by this period All business datums re-start reading, recalculate accurate warehoused cargo price.
The shortcoming of this mode is to cause to complete above-mentioned as business development and commodity amount increase severely The process recalculated needs to expend the relatively long time, while whole calculating process stability It is poor, ultimately result in whole evaluation work efficiency very low.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of warehoused cargo calculation of price side of optimization Method and device, to solve to cause to complete what is recalculated because commodity amount increases severely in the prior art Process needs to expend the relatively long time, while whole calculating process less stable, finally Cause the problem of whole evaluation work efficiency is very low.
The technical scheme is that providing a kind of retail warehoused cargo calculation of price method, the party Method includes:The business object to be monitored in storage data is set up and explains label and by reflecting skill Label is explained in art scanning, and the business datum of warehoused cargo is obtained in real time;Utilize NoSQL databases Preserve the business datum obtained;According to prefixed time interval, industry is read from NoSQL databases Business data;Warehoused cargo price is calculated according to the business datum of reading.
Alternatively, the business datum of warehoused cargo is obtained by marking business object also to be included:Such as There is the business datum of identical major key in fruit, then carry out plus-minus calculating to the business datum;If no There is the business datum of identical major key, then reacquire the new business datum.
Alternatively, according to prefixed time interval, the business number is read from the NoSQL databases According to including:The business datum is read according to data fragmentation strategy in the NoSQL databases.
Alternatively, calculating obtains the warehoused cargo price and included:By based on average weighted storehouse Store up the calculating of price of goods formula and obtain the warehoused cargo price.
The present invention also provides a kind of retail warehoused cargo calculation of price device, and the device includes:Number According to acquisition module, for setting up note label to the business object to be monitored in storage data and leading to Cross reflection technology scanning and explain label, the business datum of warehoused cargo is obtained in real time;Data storage Module, the business datum obtained is preserved using NoSQL databases;According to read module, it is used for According to prefixed time interval, the business datum is read from the NoSQL databases;Data are calculated Module, warehoused cargo price is calculated according to the business datum of reading.
Alternatively, the data acquisition module is additionally operable to:If there is the business datum of identical major key, Plus-minus calculating then is carried out to the business datum;
If there is no the business datum of identical major key, then the new business datum is reacquired.
Alternatively, the data read module is used for:According to data point in the NoSQL databases Piece strategy reads the business datum.
Alternatively, the data computation module is used for:By based on average weighted warehoused cargo valency Lattice formula, which is calculated, obtains the warehoused cargo price.
The present invention is due to using the coupling for driving note technology to solve operation system, utilizing NoSQL database technology data storages, can stablize, in real time, efficiently read and write data, Under the premise of ensureing that calculating data are accurate, the whole mistake for calculating warehoused cargo price is effectively increased The stability of journey, influence of the reduction service computation mode to operation system.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below will be to embodiment The accompanying drawing used required in description is briefly described, it should be apparent that, in describing below Accompanying drawing is only some embodiments of the present invention, for those of ordinary skill in the art, On the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings. In the accompanying drawings:
It is a kind of retail warehoused cargo calculation of price method signal that the present invention is provided shown in Fig. 1 Figure;
It is a kind of retail warehoused cargo calculation of price device signal that the present invention is provided shown in Fig. 2 Figure.
Embodiment
For the purpose, technical scheme and advantage of the embodiment of the present invention are more clearly understood, below The embodiment of the present invention is described in further details with reference to accompanying drawing.Here, the present invention's is schematic Embodiment and its illustrate to be used to explain the present invention, it is but not as a limitation of the invention.
It is a kind of retail warehoused cargo calculation of price method that the present invention is provided as shown in Figure 1, should Method includes:
Step S101:The business object to be monitored in storage data is set up and explains label and passes through Label is explained in reflection technology scanning, and the business datum of warehoused cargo is obtained in real time;
Step S102:The business datum obtained is preserved using NoSQL databases;
Step S103:According to prefixed time interval, the industry is read from the NoSQL databases Business data;
Step S104:Warehoused cargo price is calculated according to the business datum of reading.
Alternatively, the business datum of warehoused cargo is obtained by marking business object also to be included:Such as There is the business datum of identical major key in fruit, then carry out plus-minus calculating to the business datum;If no There is the business datum of identical major key, then reacquire the new business datum.
Alternatively, according to prefixed time interval, the business number is read from the NoSQL databases According to including:The business datum is read according to data fragmentation strategy in the NoSQL databases.
Alternatively, calculating obtains the warehoused cargo price and included:By based on average weighted storehouse Store up the calculating of price of goods formula and obtain the warehoused cargo price.
The present invention is specifically described with reference to a specific embodiment, but is worth note Meaning is the specific embodiment merely to preferably describing the present invention, is not constituted to the present invention Improper restriction.
Step S101:The business object to be monitored in storage data is set up and explains label and passes through Label is explained in reflection technology scanning, and the business datum of warehoused cargo is obtained in real time.
Specifically, label is explained by setting up java, marks the business object to be monitored.For example, First, define a method and explain label (@Warehouse) and a parameter note label (@Param), wherein, this method, which explains label, to be used to record specific type of service (for example: Buying, sale etc.) and detailed service corresponding with business classification is (for example:Storage, outbound), And parameter explains label (@Param), for gathering the critical data related to above-mentioned business, For example:The information such as mechanism, goods number (SKU), quantity, the amount of money.Then, definition solution Processor is analysed, for parsing@Warehouse and@Param labels, i.e., purchased for collection, The business datums such as sale, including mechanism, goods number (SKU), quantity, the amount of money etc. are specific Information.
After completing to the business object to be monitored, mark is explained using the scanning of java reflection technologies Label, to determine the business object to be monitored.It is anti-using java by monitoring the business object determined Penetrate technology and obtain business datum in real time, and utilize message technology (asynchronous mechanism) transmission The data transfer that business is produced carries out the noise cleaning of business datum, pressed to data processing centre The data structure of definition carries out the processing of data.
The business datum that end is obtained is monitored it is determined that after the business object to be monitored, obtaining, and According to different institutions, goods number (SKU), business time of origin and type of service, carry out Data processing.
Specifically, data handling procedure be with " mechanism ", " SKU ", " business occur when Between " it is major key, searched from data structure either with or without the data that there is identical major key.If Data, then obtain these data, and according to type of service (for example, buying, sale, return goods, Inventory profit loss on disposal, it is interior match somebody with somebody, part warehouse return goods) to these data carry out plus and minus calculation;If no The data of identical major key, then just directly increase new commodity data newly.
Step S102:The intermediate result of the business datum obtained is preserved using NoSQL databases.
It can be selected with different data storage scheme (passes according to different pieces of information amount in the step It is type database purchase or non-relational database), in an embodiment of the present invention, store industry The intermediate result of business data is to utilize distribution NoSQL databases.Because current warehoused cargo valency Lattice calculate business and determine that the result of storage will not change substantially when service computation is completed, and And the complex query without multi-field, and because data volume is steady incremental, selection is used Distributed NoSQL storage schemes.
Step S103:The time and cycle for setting start by set date by timer start processing task, Service data processing routine.
Specifically, when setting daily task start by using timer (spring timer) Between, i.e., the task for the business datum for calling business object is proceeded by according to the time set in advance.
Step S104:Warehoused cargo is calculated by weighted average formula according to the business datum of reading Price.
The following is the flow that warehoused cargo price is calculated in embodiments of the invention, specifically calculated Journey is as follows:
Step S201:Definition obtains the scope of data, the previous day of current time every time;
Step S202:Call data acquisition interface to obtain corresponding data, circulate every record, Corresponding data are put into warehoused cargo calculation of price formula and produce single merchandise cost;
Step S203:Warehoused cargo price storage organization by definition, KEY major keys are by (machine Structure ID, SKU and time) combination HASH produce, VALUE include mechanism ID, SKU, Time, single merchandise cost, commodity stocks quantity, stock's totle drilling cost;
Step S204:Call NoSQL to insert data API and data are stored in NoSQL databases In.
Step S205:The data processing that present batch is obtained is completed, and is followed by being adjusted into next time Ring obtains middle table data, untill it can not get data;
Step S206:The data stored in S204 are read according to data fragmentation strategy.
Specifically, data fragmentation strategy is that data are divided into N pieces, is by SKU divided by N The method taken the remainder, to determine the storage location (in which storehouse or in which table) of data, In one embodiment of the invention, data fragmentation strategy can be HASH mode or the side of modulus Formula.
Step S207:Iterative data and according to by public based on average weighted warehoused cargo price Formula, which is calculated, obtains warehoused cargo price.
Specifically, the data read in iterative calculation S205, by warehoused cargo calculation of price formula Warehoused cargo calculation of price result is produced, the calculation formula of warehoused cargo price is:
Wherein, each in formula is described as follows:
Yesterday stock:The storage of stockpile number × the previous day of the previous day in warehoused cargo price list Price of goods;
Buying storage:Be put in storage & goods putting documents;The amount of money=warehousing quantity × storage unit price;First money is moved back Storehouse;Be put in storage & returned purchase invoices;Warehoused cargo price on the day of the sale outbound of the amount of money=return of goods order × Return of goods quantity (that sells and return goods on the same day is not involved in warehoused cargo calculation of price);
First goods cancelling stocks:Outbound & goods putting & quantity<0 document;During the amount of money=return of goods order sale outbound Warehoused cargo price × return of goods quantity (that sells and return goods on the same day is not involved in warehoused cargo valency Lattice are calculated);
Spare part is put in storage:Be put in storage the other & reprocessed products documents of &;When the amount of money=take commodity enter part warehouse Price;
Other storages:Be put in storage the non-reprocessed products documents of the other & of &;The amount of money=commodity amount × yesterday Warehoused cargo price;
Interior supplying:Outbound & moves document, originates as current facility;The amount of money=commodity amount × is matched somebody with somebody Go out mechanism the previous day warehoused cargo price;
Inside allot:Outbound & moves document, and mechanism is current facility;The amount of money=commodity amount × preceding The warehoused cargo price of one day;
SKU is adjusted out:The other & adjustment of outbound &, tablet menu corresponding goods are reduced, and the amount of money takes The previous day warehoused cargo price;
SKU adjust into:The other & adjustment of & are put in storage, tablet menu corresponding goods increase, the amount of money takes The warehoused cargo price of buying correspondence the previous day;
Step S208:Storage silo stores up price of goods result of calculation.
Specifically, with NoSQL memory technologies according to unique KEY strategies (mechanism+SKU+ Business time of origin) preserved;
Step S209:Using Hash (HASH) algorithm, with mechanism ID, SKU and date group Close major key and generate unique KEY.
The present invention due to using NoSQL database technologys data storage (data model definitions, such as Shown in table 1 below), put into practice from HBase as NoSQL databases, the spy of HBase technologies Point is fast with cluster, High Availabitity, real-time random read-write.Use for computational methods, go through The long-term preservation of history data and quick reading and writing data are basic guarantees.
Specifically, the key-value memory modules design storage mould of NoSQL databases is utilized Type, it is as shown in table 1 below:
Table 1
In addition, table model is as shown in table 2 below in the middle of warehoused cargo calculation of price:
Table 2
It is that the present invention also provides a kind of retail warehoused cargo calculation of price device signal as shown in Figure 2 Figure, the device 2 includes:Data acquisition module 21, for marking business object to storage data Obtain the business datum of warehoused cargo;Data memory module 22, is preserved using NoSQL databases The business datum obtained;Data read module 23, for according to prefixed time interval, from this The business datum is read in NoSQL databases;Data computation module 24, according to the industry of reading Data of being engaged in calculate warehoused cargo price.
Alternatively, the data acquisition module 21 is additionally operable to:If there is the business number of identical major key According to then to business datum progress plus-minus calculating;
If there is no the business datum of identical major key, then the new business datum is reacquired.
Alternatively, the data read module 23 is used for:According to number in the NoSQL databases The business datum is read according to stripping strategy.
Alternatively, the data computation module 24 is used for:By based on average weighted warehoused cargo Price formulae, which is calculated, obtains the warehoused cargo price.
Because the retail warehoused cargo calculation of price device that the present invention is provided is that the above method is corresponding Device, therefore will not be repeated here.
The present invention is due to utilizing the business number for driving note technology establishment note label to collect needs According to being labeled, and (message technology is used the data produced using message technology business transferring Simply, asynchronous, reliable, stable transmission data), above-mentioned technology is decoupled with operation system Be effectively ensured.In addition, using NoSQL database technology data storages, can stablize, in fact When, efficiently read and write data, and can store the data volume of PB ranks, at the same take into account for Long-term preservation and fast reading and writing that historical data is carried out.
The warehoused cargo calculation of price method and device of the optimization provided by the present invention, Neng Gouyou Effect ensures the computational efficiency and computational stability of warehoused cargo price, relieves to operation system Coupling, reduces the pressure to operation system, the storage of historical data is effectively ensured, in order to Demand of other business to data processing.
Particular embodiments described above, to the purpose of the present invention, technical scheme and beneficial effect It is further described, should be understood that and the foregoing is only the specific of the present invention Embodiment, the protection domain being not intended to limit the present invention, it is all the present invention spirit and Within principle, any modification, equivalent substitution and improvements done etc. should be included in the present invention Protection domain within.

Claims (8)

1. one kind retail warehoused cargo calculation of price method, it is characterised in that methods described includes:
The business object to be monitored in storage data is set up and explains label and is swept by reflection technology The note label is retouched, the business datum of the warehoused cargo is obtained in real time;
The business datum obtained is preserved using NoSQL databases;
According to prefixed time interval, the business datum is read from the NoSQL databases;
Warehoused cargo price is calculated according to the business datum of reading.
2. according to the method described in claim 1, it is characterised in that by marking business object Obtaining the business datum of warehoused cargo also includes:
If there is the business datum of identical major key, then plus-minus calculating is carried out to the business datum;
If there is no the business datum of identical major key, then the new business datum is reacquired.
3. according to the method described in claim 1, it is characterised in that according to prefixed time interval, Reading the business datum from the NoSQL databases includes:
The business datum is read according to data fragmentation strategy in the NoSQL databases.
4. according to the method described in claim 1, it is characterised in that calculate and obtain the storage Price of goods includes:
The warehoused cargo valency is obtained by being calculated based on average weighted warehoused cargo price formulae Lattice.
5. one kind retail warehoused cargo calculation of price device, it is characterised in that described device includes:
Data acquisition module, mark is explained for being set up to the business object to be monitored in storage data Sign and the note label is scanned by reflection technology, the business of the warehoused cargo is obtained in real time Data;
Data memory module, the business datum obtained is preserved using NoSQL databases;
Data read module, for according to prefixed time interval, from the NoSQL databases Read the business datum;
Data computation module, warehoused cargo price is calculated according to the business datum of reading.
6. device according to claim 5, it is characterised in that the data acquisition module It is additionally operable to:
If there is the business datum of identical major key, then plus-minus calculating is carried out to the business datum;
If there is no the business datum of identical major key, then the new business datum is reacquired.
7. device according to claim 5, it is characterised in that the data read module For:
The business datum is read according to data fragmentation strategy in the NoSQL databases.
8. device according to claim 5, it is characterised in that the data computation module For:
The warehoused cargo valency is obtained by being calculated based on average weighted warehoused cargo price formulae Lattice.
CN201610224888.6A 2016-04-12 2016-04-12 One kind retail warehoused cargo calculation of price method and device Pending CN107292653A (en)

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CN110175862A (en) * 2019-04-16 2019-08-27 苏宁易购集团股份有限公司 Commodity price calculation method and system are sold for electric business platform
CN111275476A (en) * 2018-12-05 2020-06-12 北京京东尚科信息技术有限公司 Logistics storage service quotation method and device
CN112307018A (en) * 2020-09-29 2021-02-02 山东黄金矿业(莱州)有限公司三山岛金矿 Method for storing unit price data of mine excavation engineering
CN112346882A (en) * 2020-03-26 2021-02-09 北京沃东天骏信息技术有限公司 Method and apparatus for transmitting information
CN113592372A (en) * 2020-04-30 2021-11-02 顺丰恒通支付有限公司 Method and device for evaluating value of goods in warehouse, computer equipment and storage medium

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CN111275476A (en) * 2018-12-05 2020-06-12 北京京东尚科信息技术有限公司 Logistics storage service quotation method and device
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CN113592372A (en) * 2020-04-30 2021-11-02 顺丰恒通支付有限公司 Method and device for evaluating value of goods in warehouse, computer equipment and storage medium
CN112307018A (en) * 2020-09-29 2021-02-02 山东黄金矿业(莱州)有限公司三山岛金矿 Method for storing unit price data of mine excavation engineering

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Application publication date: 20171024