CN108492150A - The determination method and system of entity temperature - Google Patents
The determination method and system of entity temperature Download PDFInfo
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- CN108492150A CN108492150A CN201810322486.9A CN201810322486A CN108492150A CN 108492150 A CN108492150 A CN 108492150A CN 201810322486 A CN201810322486 A CN 201810322486A CN 108492150 A CN108492150 A CN 108492150A
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- G06Q—INFORMATION 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
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Abstract
The invention discloses a kind of determination method and system of entity temperature, are related to electronic information field, this method includes：The real-time statistics result for each entity temperature index for including in real-time statistics and the relevant daily record data information of entity；Whenever reaching the preset time cycle, the real-time statistics result of each entity temperature index counted in this time cycle is obtained；According to the real-time statistics result of each entity temperature index counted in this time cycle and preset temperature computation rule, the real-time temperature numerical value of entity in this time cycle is determined.According to this method, the characteristics of scene that can market for O2O, is with actual off-line transaction come the real-time hot value of computational entity, and real-time computing technique, which is utilized, realizes the target periodically calculated, to which the transaction on line and under line, visit capacity are combined computational entity hot value, as a result more correctly and with timeliness.
Description
Technical field
The present invention relates to electronic information fields, and in particular to a kind of determination method and system of entity temperature.
Background technology
It markets under scene in O2O (online to offline), in order to detect and improve the marketing effectiveness of marketing scene,
It usually requires to obtain marketing temperature data.In the prior art, generally according to user's visit capacity in each shop counted offline
Visit capacity on line to calculate every shop, to determine the temperature in calculating shop according to visit capacity on line, and according to temperature
To be ranked up to shop.
But inventor in the implementation of the present invention, find at least there are the following problems in the prior art：The
One：The prior art not for O2O market scene the characteristics of temperature data are calculated with actual off-line transaction, be based only on line
The temperature data that data obtain are inaccurate, cannot react true temperature completely.Second, real-time computing technique is not used, only
The base values data counted offline by the previous day calculate temperature data, and to lead to the timeliness of final temperature data be also stagnant
Afterwards, cannot meet when user descends progress consumption decision online the needs of to real-time temperature.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly
State a kind of determination method and system of entity temperature of problem.
According to an aspect of the invention, there is provided a kind of determination method of entity temperature, including：Real-time statistics and entity
The real-time statistics result for each entity temperature index for including in relevant daily record data information；It is arrived whenever the preset time cycle
Up to when, obtain the real-time statistics result of each entity temperature index counted in this time cycle；According to this time cycle
The real-time statistics result of each entity temperature index of interior statistics and preset temperature computation rule, determine this time cycle
The real-time temperature numerical value of interior entity.
Optionally, wherein the daily record data information is stream data information, and the real-time statistics and entity are relevant
The step of real-time statistics result for each entity temperature index for including in daily record data information, specifically includes：
Pass through each entity temperature for including in streaming computing frame real-time statistics and the relevant daily record data information of entity
The real-time statistics result of index.
Optionally, wherein the preset temperature computation rule includes：It is calculated in conjunction with the static attribute information of the entity
The real-time temperature numerical value of the entity；
Wherein, the static attribute information includes：Commercial circle information, regional information, and/or historical transactional information.
Optionally, wherein each entity temperature for including in the real-time statistics and the relevant daily record data information of entity
The real-time statistics result of index；Whenever reaching the preset time cycle, each entity counted in this time cycle is obtained
The step of real-time statistics result of temperature index, specifically includes：
Pass through each entity temperature index for including in main thread real-time statistics and the relevant daily record data information of entity
Real-time statistics as a result, and when reaching the preset time cycle, each entity temperature index for will being counted in this time cycle
Real-time statistics result be sent to each sub-line journey synchronous with the main thread, for each sub-line journey obtain this time week
The real-time statistics result of each entity temperature index counted in phase；
The real-time statistics result of each entity temperature index then counted in this time cycle described in the basis and
Preset temperature computation rule, the step of determining the real-time temperature numerical value of entity in this time cycle, specifically include：Each height
Real-time statistics result and preset temperature of the thread according to each entity temperature index counted in this described time cycle
Computation rule, determines the real-time temperature numerical value of entity in this time cycle, and is reported to the main thread；
Wherein, the sub-line journey is multiple sub-line journeys run parallel.
Optionally, wherein the method further includes：When reaching next time cycle, the main thread judges
With the presence or absence of the sub-line journey of processing progress exception；
Stop message if so, being sent to the sub-line journey of processing progress exception, so that the son of processing progress exception
The processing of this time cycle of thread stall, and open the processing of next time cycle.
Optionally, wherein it is described by main thread real-time statistics with include in the relevant daily record data information of entity it is each
The step of real-time statistics result of a entity temperature index, specifically includes：By the real-time statistics result persistent storage to default
In storage device；
Then the method further includes：When the main thread occurs abnormal, restored by the default storage device
The real-time statistics result counted.
Optionally, wherein when the main thread further comprises multiple main threads run parallel, the default storage
Equipment further comprises that multiple data corresponding with each main thread divide bucket, then described to pass through the default storage device
The step of restoring the real-time statistics result counted specifically includes：
Divide bucket mapping relations according to preset thread, determines that data corresponding with there is abnormal main thread divide bucket, root
Bucket is divided to restore the real-time statistics result counted according to the data corresponding with there is abnormal main thread.
Optionally, wherein each entity temperature for including in the real-time statistics and the relevant daily record data information of entity
The step of real-time statistics result of index, further comprises：
Whether the real-time judge preset time cycle reaches, if so, executing statistics in described this time cycle of acquisition
Each entity temperature index real-time statistics result the step of and its subsequent step.
Optionally, wherein each entity temperature for including in the real-time statistics and the relevant daily record data information of entity
Before the step of real-time statistics result of index, further comprise：
According to the type of the entity, the relevant daily record data information of entity with the type is obtained in real time；Wherein, described
Daily record data information includes：Certificate checks and writes off daily record, access log and/or transaction log.
Optionally, wherein each entity temperature for including in the real-time statistics and the relevant daily record data information of entity
The step of real-time statistics result of index, specifically includes：
According to the type of the entity, entity temperature index corresponding with the entity of the type is determined；
The extract real-time entity temperature index corresponding with the entity of the type from the daily record data information, and respectively
It is counted for each entity temperature index extracted；
Wherein, the type of the entity includes：Shop type, and/or electronic ticket type；The entity temperature index packet
It includes：Transaction amount index, preferential amount of money index, certificate checks and writes off index, and/or certificate gets index.
According to another aspect of the present invention, a kind of determination system of entity temperature is provided, including：
Statistical module, suitable for each entity temperature index for including in real-time statistics and the relevant daily record data information of entity
Real-time statistics result；First acquisition module is suitable for whenever reaching the preset time cycle, obtains system in this time cycle
The real-time statistics result of each entity temperature index of meter；Determining module is suitable for according to statistics in this described time cycle
The real-time statistics result of each entity temperature index and preset temperature computation rule, determine entity in this time cycle
Real-time temperature numerical value.
Optionally, wherein the daily record data information is stream data information, and the statistical module is particularly adapted to：
Pass through each entity temperature for including in streaming computing frame real-time statistics and the relevant daily record data information of entity
The real-time statistics result of index.
Optionally, wherein the preset temperature computation rule includes：It is calculated in conjunction with the static attribute information of the entity
The real-time temperature numerical value of the entity；
Wherein, the static attribute information includes：Commercial circle information, regional information, and/or historical transactional information.
Optionally, wherein the statistical module, the first acquisition module are particularly adapted to：
Pass through each entity temperature index for including in main thread real-time statistics and the relevant daily record data information of entity
Real-time statistics as a result, and when reaching the preset time cycle, each entity temperature index for will being counted in this time cycle
Real-time statistics result be sent to each sub-line journey synchronous with the main thread, for each sub-line journey obtain this time week
The real-time statistics result of each entity temperature index counted in phase；
The real-time statistics result of each entity temperature index then counted in this time cycle described in the basis and
Preset temperature computation rule, the step of determining the real-time temperature numerical value of entity in this time cycle, specifically include：Each height
Real-time statistics result and preset temperature of the thread according to each entity temperature index counted in this described time cycle
Computation rule, determines the real-time temperature numerical value of entity in this time cycle, and is reported to the main thread；
Wherein, the sub-line journey is multiple sub-line journeys run parallel.
Optionally, wherein first acquisition module is further adapted for：When reaching next time cycle, the master
Thread judges whether the sub-line journey of processing progress exception；
Stop message if so, being sent to the sub-line journey of processing progress exception, so that the son of processing progress exception
The processing of this time cycle of thread stall, and open the processing of next time cycle.
Optionally, wherein the statistical module is particularly adapted to：The real-time statistics result persistent storage is deposited to default
It stores up in equipment；
Then the system further comprises：When the main thread occurs abnormal, restored by the default storage device
The real-time statistics result counted.
Optionally, wherein when the main thread further comprises multiple main threads run parallel, the default storage
Equipment further comprises that multiple data corresponding with each main thread divide bucket, then the statistical module is particularly adapted to：
Divide bucket mapping relations according to preset thread, determines that data corresponding with there is abnormal main thread divide bucket, root
Bucket is divided to restore the real-time statistics result counted according to the data corresponding with there is abnormal main thread.
Optionally, wherein first acquisition module is further adapted for：
Whether the real-time judge preset time cycle reaches, if so, executing statistics in described this time cycle of acquisition
Each entity temperature index real-time statistics result the step of and its subsequent step.
Optionally, wherein the system further comprises the second acquisition module：
Suitable for the type according to the entity, the relevant daily record data information of entity with the type is obtained in real time；Wherein,
The daily record data information includes：Certificate checks and writes off daily record, access log and/or transaction log.
Optionally, wherein the statistical module is particularly adapted to：
According to the type of the entity, entity temperature index corresponding with the entity of the type is determined；
The extract real-time entity temperature index corresponding with the entity of the type from the daily record data information, and respectively
It is counted for each entity temperature index extracted；
Wherein, the type of the entity includes：Shop type, and/or electronic ticket type；The entity temperature index packet
It includes：Transaction amount index, preferential amount of money index, certificate checks and writes off index, and/or certificate gets index.
According to the present invention in another aspect, provide a kind of electronic equipment, including：Processor, memory, communication interface and
Communication bus, the processor, the memory and the communication interface complete mutual communication by the communication bus；
For the memory for storing an at least executable instruction, it is as above that the executable instruction makes the processor execute
The corresponding operation of determination method for the entity temperature stated.
According to the present invention in another aspect, provide a kind of computer storage media, be stored in the storage medium to
A few executable instruction, the executable instruction make processor execute the corresponding behaviour of determination method such as above-mentioned entity temperature
Make.
According to the determination method and system of entity temperature provided by the invention, pass through real-time statistics and the relevant daily record of entity
The real-time statistics for each entity temperature index for including in data information obtain as a result, whenever reaching the preset time cycle
The real-time statistics of each entity temperature index counted in this time cycle in this time cycle as a result, then according to counting
Each entity temperature index real-time statistics result and preset temperature computation rule, determine entity in this time cycle
Real-time temperature numerical value.According to this method, with actual off-line transaction come computational entity the characteristics of the scene that can market for O2O
Real-time hot value, and real-time computing technique is utilized realizes the target periodically calculated, to will be on line and under line
Transaction, visit capacity combine computational entity hot value, it is as a result more correct and there is better timeliness.In addition, this hair
The scheme of bright offer based on real-time behavior under user's line, and add up in one section of period transaction, data, then the foundation such as check and write off
Statistical data calculates temperature result.Therefore on the one hand technical solution provided by the invention ensures temperature using real-time computing technique
On the other hand the timeliness of data breaches the limitation that periodic statistics add calculating again, by that will be combined in real time with computation of Period
The entity hot value calculated of getting up more meet O2O marketing scene, be reconstructed people, goods, field big data technology battalion
Sell animation effect.
Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, below the special specific implementation mode for lifting the present invention.
Description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit are common for this field
Technical staff will become clear.Attached drawing only for the purpose of illustrating preferred embodiments, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：
Fig. 1 shows a kind of flow chart of the determination method for entity temperature that the embodiment of the present invention one provides；
Fig. 2 shows a kind of flow charts of the determination method of entity temperature provided by Embodiment 2 of the present invention；
Fig. 3 shows a kind of flow diagram of the determination method of entity temperature provided by Embodiment 2 of the present invention；
Fig. 4 shows a kind of structure chart of the determination system for entity temperature that the embodiment of the present invention three provides；
Fig. 5 shows the structural schematic diagram for a kind of electronic equipment that the embodiment of the present invention four provides.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Embodiment one
Fig. 1 shows a kind of flow chart of the determination method for entity temperature that the embodiment of the present invention one provides.Such as Fig. 1 institutes
Show, this method includes：
Step S110：The reality for each entity temperature index for including in real-time statistics and the relevant daily record data information of entity
When statistical result.
Wherein, entity can refer to the various entities that can calculate temperature, such as shop and/or electronic ticket or other types
Entity.Entity temperature index refers to that can be used for calculating or reflecting the various indexs of entity temperature size, above-mentioned entity heat
It includes but not limited at least one of the following to spend index：Transaction amount index, preferential amount of money index, certificate check and write off index, and/or
Certificate gets index.Specifically, it can in real time obtain and believe with the relevant daily record data of the entity of the type according to the type of entity
Breath；Then the real-time statistics result for each entity temperature index for including in above-mentioned log information is obtained.Wherein, above-mentioned daily record number
It is believed that breath includes but not limited at least one of the following：Certificate checks and writes off daily record, access log and/or transaction log.It is emphasized that
, for different entity types, can correspondingly obtain each entity temperature index corresponding thereto；So as to needle
The temperature index of the entity under the business scenario is correspondingly obtained to different business scenarios.Specifically, for shop class
Type, can obtain transaction amount index corresponding thereto, preferential amount of money index, transaction stroke count index etc. can be used for calculating shop
Spread the entity temperature index of the real-time temperature size of type；For electronic ticket type, certificate core corresponding thereto can be obtained
Pin index, certificate checks and writes off amount of money index, certificate gets quantitative index, certificate check and write off stroke count index etc. can be used for calculate the real-time of certificate type
Temperature size entity temperature index.
Step S120：Whenever reaching the preset time cycle, each entity heat counted in this time cycle is obtained
Spend the real-time statistics result of index.
Wherein, the size of above-mentioned preset time cycle can specifically be set by those skilled in the art according to actual conditions, than
It such as can be 15 minutes, 10 minutes or half an hour, concrete numerical value can be set by those skilled in the art according to practical business demand
It sets：When the time cycle being arranged smaller, the real-time of statistical result can be made more preferable；When the time cycle being arranged larger,
The consumption to computing resource can be reduced to lifting system performance.It can will have been combined in real time with the period by implementing the step
Come, so as to more be precisely calculated the hot value of each entity.
Step S130：According to the real-time statistics result of each entity temperature index counted in this time cycle and in advance
If temperature computation rule, determine the real-time temperature numerical value of entity in this time cycle.
Wherein, above-mentioned preset temperature computation rule can refer to the various rules of the real-time hot value of computational entity,
For example can be weighted calculation rule, by the way that the weighted value of various entity temperature indexs is arranged, then according to above-mentioned various entities
The weighted value of temperature index carrys out the real-time hot value of computational entity.Preset temperature computation rule is in addition to that can be above-mentioned weighting meter
It is outer to calculate rule, can also be other computation rules, the present invention does not limit the specific of the real-time temperature numerical value of computational entity in a word
Rule.
According to method provided in this embodiment, by real-time statistics with include in the relevant daily record data information of entity it is each
The real-time statistics of a entity temperature index obtain statistics in this time cycle as a result, whenever reaching the preset time cycle
Each entity temperature index real-time statistics as a result, then according to each entity temperature index counted in this time cycle
Real-time statistics result and preset temperature computation rule, determine the real-time temperature numerical value of entity in this time cycle.Root
According to this method, with actual off-line transaction come the real-time hot value of computational entity the characteristics of the scene that can market for O2O, and
Real-time computing technique, which is utilized, realizes the target periodically calculated, to combine the transaction on line and under line, visit capacity
The entity hot value for getting up to calculate, as a result more correctly and with timeliness.
Fig. 2 shows a kind of flow charts of the determination method of entity temperature provided by Embodiment 2 of the present invention.In addition, Fig. 3
Show a kind of flow diagram of the determination method of entity temperature provided by Embodiment 2 of the present invention.For greater clarity
Ground illustrates technical solution provided by the invention, will describe the complete of technical solution provided by the invention in conjunction with Fig. 3 first here
Flow.As shown in figure 3, the data source of technical solution provided by the invention includes all and the relevant real time data of O2O scenes,
Such as transaction log checks and writes off daily record, access log, and bottom collects above-mentioned daily record using streaming computing frame, then online lower real
When data analyzing step parse structuring, temperature calculate need information.Above- mentioned information include such as entity type and
Each entity temperature index.Wherein, above-mentioned entity type includes shops's type, electronic ticket type etc.；Each entity temperature index
Including transaction index, preferential index etc..Specifically, when entity is shop, entity temperature index corresponding thereto can wrap
Include transaction amount index, preferential amount of money index, transaction stroke count index etc.；When entity is electronic ticket, entity corresponding thereto
Temperature index may include that certificate checks and writes off index, certificate checks and writes off amount of money index, certificate gets index, certificate checks and writes off stroke count index etc..It is parsing
After information that go out above structure, that temperature calculating needs, the data of different data sources are subjected to data summarization, polymerization, and
It adds up to above-mentioned temperature index (amount of money, stroke count, visit capacity) according to the different dimension of entity, above-mentioned step is all streaming
The step of calculating.
Further, as shown in figure 3, finish temperature index it is cumulative after, do not start subsequent calculating stream at once
Journey, but judge currently calculating time point in the interval of accumulation logic, if had not timed out up to defined window time
(such as 15 minutes), then do not handle any new logic, and it is cumulative to continue to do index；Window time is reached until the time, just will build up on down
The entity temperature index come is based on designed algorithm, the real-time temperature of each entity is calculated together with some auxiliary informations
Numerical value finally exports the real-time temperature numerical value of the above-mentioned each entity being calculated.As shown in figure 3, in computational entity temperature
When can be combined with the static attribute information of entity.Above-mentioned static attribute information can include but is not limited to it is following in extremely
It is one few：Commercial circle information, shop regional information, and/or historical transactional information.
About the detailed content of technical solution provided by the invention, will be illustrated by following step S210~S240：Such as
Shown in Fig. 2, this method includes：
Step S210 obtains the relevant daily record data information of entity with the type in real time according to the type of entity.
Wherein, the type of entity includes but not limited at least one of the following：Shop type and/or electronic ticket type.
Above-mentioned daily record data includes but not limited at least one of the following：Certificate checks and writes off daily record, access log and/or transaction log.Tool
Body, for shop, relative daily record data information can be access log, transaction log etc.；It is associated therewith for certificate
Daily record data information may include that certificate checks and writes off daily record, certificate gets daily record etc., do not describing one by one herein.
The reality for each entity temperature index for including in step S220, real-time statistics and the relevant daily record data information of entity
When statistical result.
Wherein, above-mentioned entity temperature index refers to that can be used for calculating or reflecting the various indexs of entity temperature size,
Above-mentioned entity temperature index includes but not limited at least one of the following：Transaction amount index, preferential amount of money index, certificate are checked and write off
Index, and/or certificate get index.Specifically, first according to the type of above-mentioned entity, determination is corresponding with the entity of the type
Entity temperature index.For example, be directed to shop type, entity temperature index corresponding thereto may include transaction amount index,
The entity temperature for the real-time temperature size that preferential amount of money index, transaction stroke count index etc. can be used for calculating shop type refers to
Mark；For electronic ticket type, entity temperature index that can be corresponding thereto may include that certificate checks and writes off index, certificate is checked and write off the amount of money and referred to
Mark, certificate, which get index, certificate checks and writes off stroke count index etc. to refer to for the entity temperature for the real-time temperature size for calculating certificate type
Mark.After determining corresponding with entity entity temperature index, then from above-mentioned daily record data information extraction in real time and
The corresponding entity temperature index of entity of the type, and be directed to each entity temperature index extracted respectively and counted.
It further, can be real-time by streaming computing frame when above-mentioned daily record data information is stream data information
The real-time statistics result for each entity temperature index for including in statistics and the relevant daily record data information of entity.Specifically, exist
Under big data environment, above-mentioned stream data as a kind of novel data type, be real time data processing towards data class
Type.Stream data can rapid, the continual arrival in the mode of high concurrent, and under normal circumstances processing after the completion of meeting
It abandons.Above-mentioned streaming computing refers to a kind of mode of real-time processing stream data, and streaming computing is with continuous, non-boundary and instantaneity
It is characterized, is suitble to processing high speed concurrent and the scene of large-scale data, such as lasting real-time logs, real-time messages.Above-mentioned stream
Formula Computational frame refers to the engineering infrastructure realized based on streaming computing theory, can include but is not limited to it is following in extremely
It is one few：storm、spark streaming、blink.
In order to periodically obtain the real-time statistics of each entity temperature index as a result, the time cycle can be pre-set,
The size of the time cycle can specifically be set by those skilled in the art according to actual conditions, for example can be 15 minutes, 10 minutes
Or half an hour, concrete numerical value can be arranged by those skilled in the art according to practical business demand：When the time cycle be arranged compared with
Hour, the real-time of statistical result can be made more preferable；When the time cycle being arranged larger, the consumption to computing resource can be reduced
With to lifting system performance.Then judge whether the preset time cycle reaches, if so then execute step S230 and its subsequently
Step.By preset period of time, and each reality for obtaining and being counted in this time cycle is just executed when predetermined period reaches
The step of real-time statistics result of body heat degree index and subsequent step, so as to which real-time geo-statistic and entity is relevant
The real-time statistics result for each entity temperature index for including in daily record data information and periodically obtain above-mentioned statistical result
Combine, will periodically obtain above-mentioned system on the statistical result of each entity temperature index obtained in real time under line and line
Meter result combines, and then the characteristics of more meet above-mentioned O2O scenes, and the real-time temperature numerical value of the entity of calculating is also more
It is accurate.
Step S230 obtains each entity heat counted in this time cycle whenever reaching the preset time cycle
Spend the real-time statistics result of index.
In order to ensure the real-time of each entity temperature indicator-specific statistics, the sub-line journey synchronous with main thread can be set.Its
In, the quantity of sub-line journey can be determined according to the size for the data volume of main thread handled in real time, can be for one or more
It is a.Specifically, when reaching the preset time cycle, can be believed by main thread real-time statistics and the relevant daily record data of entity
The real-time statistics of each entity temperature index for including in breath as a result, and when reaching the preset time cycle, by this time
The real-time statistics result of each entity temperature index counted in period is sent to the sub-line journey synchronous with above-mentioned main thread, for
Above-mentioned sub-line journey obtains the real-time statistics result of each entity temperature index counted in this time cycle.For example, when advance
When the setting time cycle is 15 minutes, every 15 minutes real-time statistics by each entity temperature index counted in this 15 minutes
As a result it is sent to the sub-line journey synchronous with above-mentioned main thread, so that sub-line journey obtains each entity temperature counted in this 15 minutes
The real-time statistics result of index.It further, can be according to default when above-mentioned sub-line journey is multiple sub-line journeys run parallel
Distribution rules, the real-time statistics result of each entity temperature index counted in this time cycle is distributed to each sub-line
Journey.For load balancing, preset distribution rules can be average distribution rules, can will be counted in this time cycle in this way
The real-time statistics result of each entity temperature index be averagely allocated to each sub-line journey, except of course that being above-mentioned average distribution
Rule can also be the distribution rules of other those skilled in the art's settings.It is sub in order to prevent when the statistic of sub-line journey is especially big
Thread terminates there are no statistics when next cycle arrives or prevents sub-line journey from other failures occur, when next time
When period reaches, above-mentioned main thread judges whether the sub-line journey of processing progress exception；To realize the prison to sub-line journey
Control.If there are the sub-line journey of processing progress exception, sent to the sub-line journey of above-mentioned processing progress exception and stop message, so that place
The sub-line journey of reason progress exception stops the processing of this time cycle, and opens the processing of next time cycle.Pass through monitoring
The processing progress of sub-line journey and whether it is abnormal, it is ensured that sub-line journey restarts to calculate when each period arrives,
To ensure that the real-time of each entity temperature indicator-specific statistics.Significantly, since above-mentioned streaming computing frame is not good at
It is calculated in process cycle, how the temperature of the entity of full dose quickly to be calculated into task scheduling to son after such as arrival time window
Flow is calculated, after the completion of calculating sub-process how returned data, if calculate time-out how to stop calculate, etc. problem,
It is required for realizing again on streaming computing frame.
Further, due to each after the completion of the stream data processing from data source, in streaming computing frame level
It has just handled and has finished, but periodically calculated and need cumulative data, and entity to be calculated before temporary arrival time window
Information, these be all streaming computing frame perception less than.When system appearance exception, streaming computing frame itself can not be utilized
Restoration Mechanism.If calculated after certain processing threads in topology exit and restarted automatically by streaming computing frame again extremely, exit
Data before can not obtain, and cause statistical indicator and temperature result of calculation inaccurate.It to solve the above-mentioned problems, can will be upper
In the real-time statistics result persistent storage to default storage device for stating each entity temperature index for including of main thread statistics,
In this way, when main thread occurs abnormal, such as when failing or when operating system occurs occurs in some node of streaming frame
When abnormal, the real-time statistics result counted can be restored by above-mentioned preset storage device.Above-mentioned default storage device can
Think the storage devices such as hbase, hard disk.Further, above-mentioned when above-mentioned main thread includes multiple main threads run parallel
Default storage device further comprises that multiple data corresponding with each main thread divide bucket, in this way when main thread appearance is different
Chang Shi can divide bucket mapping relations according to preset thread, determine that data corresponding with there is abnormal main thread divide bucket, root
Bucket is divided to restore the real-time statistics result counted according to above-mentioned data corresponding with there is abnormal main thread.Above-mentioned thread divides bucket
Mapping relations the quantity of bucket can be divided to determine according to the quantity of main thread and data, for example one shares 100 main threads,
Can by this 100 main threads count each entity temperature index for including real-time statistics result persistent storage to it is upper
Corresponding 1000 data of 100 main threads are stated to divide in bucket.It specifically, can be according to the mark of each entity (such as shop
Spread ID) divide the real-time statistics result persistent storage of each entity temperature index for including of main thread statistics to bucket to data
In.When determining that thread divides the mapping relations of bucket, it can divide bucket that processing is numbered each main thread and data, then really
The number of fixed each main thread divides the correspondence of the number of bucket with each data.For example, No. 1 main thread can correspond to No. 1~
10 numbers divide bucket, No. 2 main threads to correspond to No. 11~20 numbers and bucket, other main thread numbers is divided to divide bucket to number with data
Correspondence can with and so on, no longer an one kind is stated herein.It, can be in this way when one of main thread breaks down
By determining the number of the main thread data point corresponding to the main thread are determined to according to thread divide the mapping relations of bucket
The number of bucket, the main thread to divide the Backup Data stored in bucket according to the number to restore to break down have counted real-time
Statistical result.Divide bucket by the way that multiple data corresponding with each main thread are arranged, it can be accurate when main thread breaks down
Really the data rapidly divided in bucket according to data corresponding thereto restore the real-time statistics counted as a result, to reduce
Compute repeatedly or lose main thread statistics each entity temperature index for including real-time statistics result possibility, improve
Accuracy rate and computational efficiency.
Step S240, according to the real-time statistics result of each entity temperature index counted in this time cycle and in advance
If temperature computation rule, determine the real-time temperature numerical value of entity in this time cycle.
Wherein, preset temperature computation rule may include：The static attribute information of binding entity calculates the reality of the entity
When temperature numerical value.Above-mentioned static attribute information can refer to non real-time acquisition, relevant with the real-time temperature numerical value of above-mentioned entity
Various attribute informations.Above-mentioned static attribute information can include but is not limited at least one of the following：Commercial circle information, region letter
Breath, and/or historical transactional information.Such as shop type, above-mentioned static attribute information may include the class in shop, shop
The place at place, the commercial circle etc. where the historical trading total amount in shop, shop, no longer an one kind is stated herein.It specifically, can be with
The real-time statistics result according to each entity temperature index counted in this time cycle and preset temperature by sub-line journey
Computation rule, determines the real-time temperature numerical value of entity in this time cycle, and is reported to main thread.Wherein, above-mentioned preset
Temperature computation rule can refer to the various rules of the real-time hot value of computational entity, for example can be weighted calculation rule,
By the way that the weighted value of various entity temperature indexs is arranged, reality is then calculated according to the weighted value of above-mentioned various entity temperature indexs
The real-time hot value of body.Preset temperature computation rule can also be others other than it can be above-mentioned weighted calculation rule
Computation rule, in a word the present invention do not limit computational entity real-time temperature numerical value specific rules.Sub-line journey is when determining this
Between in the period after the real-time temperature numerical value of entity, above-mentioned real-time temperature Value Data can be stored in preset storage device
And above-mentioned real-time temperature Value Data is returned into main thread, main thread can further locate above-mentioned real-time temperature Value Data
Reason, for example the calculating etc. of TOP100 can be done to above-mentioned real-time temperature Value Data.
According to the determination method for the entity temperature that the present embodiment two provides, by the type according to entity, obtain in real time with
The relevant daily record data information of entity of the type, and real-time statistics with include in the relevant daily record data information of entity it is each
The real-time statistics of entity temperature index obtain statistics in this time cycle as a result, whenever reaching the preset time cycle
The real-time statistics of each entity temperature index are as a result, and according to the reality of each entity temperature index counted in this time cycle
When statistical result and preset temperature computation rule, determine the real-time temperature numerical value of entity in this time cycle.According to this
The characteristics of method, the scene that can market for O2O, and is utilized with actual off-line transaction come the real-time hot value of computational entity
Real-time computing technique realizes the target periodically calculated, to combine the transaction on line and under line, visit capacity
Come the entity hot value calculated, as a result more correctly and with timeliness.In addition, this programme has used real-time computing technique, institute
Some indicator-specific statistics and temperature calculate all to be executed when external event or set time point occur at once, avoids only offline system
Count base values data and caused by data delay, reflect real-time data situations under O2O scenes.And what this programme utilized is
The data of O2O off-line transactions, consumption reflect the truthful data situation under O2O scenes, rather than only with data mould in partial line
It is quasi-, it ensure that the accuracy of temperature data.
Embodiment three
Fig. 4 shows a kind of structural schematic diagram of the determination system for entity temperature that the embodiment of the present invention three provides, this is
System includes：
Statistical module 42 refers to suitable for real-time statistics with each entity temperature for including in the relevant daily record data information of entity
Target real-time statistics result；
First acquisition module 43 is suitable for whenever reaching the preset time cycle, obtains statistics in this time cycle
The real-time statistics result of each entity temperature index；
Determining module 44 is suitable for the real-time statistics according to each entity temperature index counted in this described time cycle
As a result and preset temperature computation rule, the real-time temperature numerical value of entity in this time cycle is determined.
Optionally, wherein the daily record data information is stream data information, and the statistical module 42 is particularly adapted to：
Pass through each entity temperature for including in streaming computing frame real-time statistics and the relevant daily record data information of entity
The real-time statistics result of index.
Optionally, wherein the preset temperature computation rule includes：It is calculated in conjunction with the static attribute information of the entity
The real-time temperature numerical value of the entity；
Wherein, the static attribute information includes：Commercial circle information, regional information, and/or historical transactional information.
Optionally, wherein the statistical module 42, the first acquisition module 43 are particularly adapted to：
Pass through each entity temperature index for including in main thread real-time statistics and the relevant daily record data information of entity
Real-time statistics as a result, and when reaching the preset time cycle, each entity temperature index for will being counted in this time cycle
Real-time statistics result be sent to each sub-line journey synchronous with the main thread, for each sub-line journey obtain this time week
The real-time statistics result of each entity temperature index counted in phase；
The real-time statistics result of each entity temperature index then counted in this time cycle described in the basis and
Preset temperature computation rule, the step of determining the real-time temperature numerical value of entity in this time cycle, specifically include：Each height
Real-time statistics result and preset temperature of the thread according to each entity temperature index counted in this described time cycle
Computation rule, determines the real-time temperature numerical value of entity in this time cycle, and is reported to the main thread；
Wherein, the sub-line journey is multiple sub-line journeys run parallel.
Optionally, wherein first acquisition module 43 is further adapted for：It is described when reaching next time cycle
Main thread judges whether the sub-line journey of processing progress exception；
Stop message if so, being sent to the sub-line journey of processing progress exception, so that the son of processing progress exception
The processing of this time cycle of thread stall, and open the processing of next time cycle.
Optionally, wherein the statistical module 42 is particularly adapted to：By the real-time statistics result persistent storage to default
In storage device；
Then the system further comprises：When the main thread occurs abnormal, restored by the default storage device
The real-time statistics result counted.
Optionally, wherein when the main thread further comprises multiple main threads run parallel, the default storage
Equipment further comprises that multiple data corresponding with each main thread divide bucket, then the statistical module 42 is particularly adapted to：
Divide bucket mapping relations according to preset thread, determines that data corresponding with there is abnormal main thread divide bucket, root
Bucket is divided to restore the real-time statistics result counted according to the data corresponding with there is abnormal main thread.
Optionally, wherein first acquisition module 43 is further adapted for：
Whether the real-time judge preset time cycle reaches, if so, executing statistics in described this time cycle of acquisition
Each entity temperature index real-time statistics result the step of and its subsequent step.
Optionally, wherein the system further comprises the second acquisition module 41：
Suitable for the type according to the entity, the relevant daily record data information of entity with the type is obtained in real time；Wherein,
The daily record data information includes：Certificate checks and writes off daily record, access log and/or transaction log.
Optionally, wherein the statistical module 42 is particularly adapted to：
According to the type of the entity, entity temperature index corresponding with the entity of the type is determined；
The extract real-time entity temperature index corresponding with the entity of the type from the daily record data information, and respectively
It is counted for each entity temperature index extracted；
Wherein, the type of the entity includes：Shop type, and/or electronic ticket type；The entity temperature index packet
It includes：Transaction amount index, preferential amount of money index, certificate checks and writes off index, and/or certificate gets index.
It can refer to the description of corresponding portion in embodiment of the method about the concrete structure and operation principle of above-mentioned modules,
Details are not described herein again.
Example IV
The embodiment of the present application four provides a kind of nonvolatile computer storage media, the computer storage media storage
There are an at least executable instruction, the computer executable instructions to can perform the entity temperature in above-mentioned any means embodiment really
Determine method.
Executable instruction specifically can be used for so that processor executes following operation：
The real-time statistics knot for each entity temperature index for including in real-time statistics and the relevant daily record data information of entity
Fruit；
Whenever reaching the preset time cycle, the reality of each entity temperature index counted in this time cycle is obtained
When statistical result；
According to the real-time statistics result of each entity temperature index counted in this described time cycle and preset
Temperature computation rule determines the real-time temperature numerical value of entity in this time cycle.
Embodiment five
Fig. 5 shows the structural schematic diagram of according to embodiments of the present invention five a kind of electronic equipment, present invention specific implementation
Example does not limit the specific implementation of electronic equipment.
As shown in figure 5, the electronic equipment may include：Processor (processor) 502, communication interface
(Communications Interface) 506, memory (memory) 504 and communication bus 508.
Wherein：
Processor 502, communication interface 506 and memory 504 complete mutual communication by communication bus 508.
Communication interface 506, for being communicated with the network element of miscellaneous equipment such as client or other servers etc..
Processor 502, for executing program 510, in the determination embodiment of the method that can specifically execute above-mentioned entity temperature
Correlation step.
Specifically, program 510 may include program code, which includes computer-managed instruction.
Processor 502 may be central processor CPU or specific integrated circuit ASIC (Application
Specific Integrated Circuit), or be arranged to implement the integrated electricity of one or more of the embodiment of the present invention
Road.The one or more processors that electronic equipment includes can be same type of processor, such as one or more CPU；Also may be used
To be different types of processor, such as one or more CPU and one or more ASIC.
Memory 504, for storing program 510.Memory 504 may include high-speed RAM memory, it is also possible to further include
Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Program 510 specifically can be used for so that processor 502 executes following operation：
The real-time statistics knot for each entity temperature index for including in real-time statistics and the relevant daily record data information of entity
Fruit；
Whenever reaching the preset time cycle, the reality of each entity temperature index counted in this time cycle is obtained
When statistical result；
According to the real-time statistics result of each entity temperature index counted in this described time cycle and preset
Temperature computation rule determines the real-time temperature numerical value of entity in this time cycle.
Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein.
Various general-purpose systems can also be used together with teaching based on this.As described above, it constructs required by this kind of system
Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It should be understood that can utilize various
Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention
Example can be put into practice without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of each inventive aspect,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：It is i.e. required to protect
Shield the present invention claims the more features of feature than being expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific implementation mode are expressly incorporated in the specific implementation mode, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment
Change and they are arranged in the one or more equipment different from the embodiment.It can be the module or list in embodiment
Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it may be used any
Combination is disclosed to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so to appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit requires, abstract and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
One of meaning mode can use in any combination.
The all parts embodiment of the present invention can be with hardware realization, or to run on one or more processors
Software module realize, or realized with combination thereof.It will be understood by those of skill in the art that can use in practice
In the determination system of microprocessor or digital signal processor (DSP) to realize entity temperature according to the ... of the embodiment of the present invention
The some or all functions of some or all components.The present invention is also implemented as executing method as described herein
Some or all equipment or program of device (for example, computer program and computer program product).Such reality
The program of the existing present invention can may be stored on the computer-readable medium, or can be with the form of one or more signal.
Such signal can be downloaded from internet website and be obtained, and either be provided on carrier signal or in any other forms
It provides.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference mark between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be by the same hardware branch
To embody.The use of word first, second, and third does not indicate that any sequence.These words can be explained and be run after fame
Claim.
Claims (10)
1. a kind of determination method of entity temperature, including：
The real-time statistics result for each entity temperature index for including in real-time statistics and the relevant daily record data information of entity；
Whenever reaching the preset time cycle, the real-time system of each entity temperature index counted in this time cycle is obtained
Count result；
According to the real-time statistics result of each entity temperature index counted in this described time cycle and preset temperature
Computation rule determines the real-time temperature numerical value of entity in this time cycle.
2. according to the method described in claim 1, wherein, the daily record data information is stream data information, and described real-time
The step of counting the real-time statistics result with each entity temperature index for including in the relevant daily record data information of entity is specific
Including：
Pass through each entity temperature index for including in streaming computing frame real-time statistics and the relevant daily record data information of entity
Real-time statistics result.
3. method according to claim 1 or 2, wherein the preset temperature computation rule includes：In conjunction with the entity
Static attribute information calculate the real-time temperature numerical value of the entity；
Wherein, the static attribute information includes：Commercial circle information, regional information, and/or historical transactional information.
4. according to any methods of claim 1-3, wherein the real-time statistics and the relevant daily record data information of entity
In include each entity temperature index real-time statistics result；Whenever reaching the preset time cycle, this time is obtained
The step of real-time statistics result of each entity temperature index counted in period, specifically includes：
Pass through the real-time of main thread real-time statistics and each entity temperature index for including in the relevant daily record data information of entity
Statistical result, and when reaching the preset time cycle, by the reality of each entity temperature index counted in this time cycle
When statistical result be sent to each sub-line journey synchronous with the main thread, so that each sub-line journey obtained in this time cycle
The real-time statistics result of each entity temperature index of statistics；
The real-time statistics result of each entity temperature index then counted in this time cycle described in the basis and default
Temperature computation rule, the step of determining the real-time temperature numerical value of entity in this time cycle specifically includes：Each sub-line journey
It is calculated according to the real-time statistics result of each entity temperature index counted in this described time cycle and preset temperature
Rule, determines the real-time temperature numerical value of entity in this time cycle, and is reported to the main thread；
Wherein, the sub-line journey is multiple sub-line journeys run parallel.
5. according to the method described in claim 4, wherein, the method further includes：When reaching next time cycle,
The main thread judges whether the sub-line journey of processing progress exception；
Stop message if so, being sent to the sub-line journey of processing progress exception, so that the sub-line journey of processing progress exception
Stop the processing of this time cycle, and opens the processing of next time cycle.
6. method according to claim 4 or 5, wherein described to pass through main thread real-time statistics and the relevant daily record of entity
The step of real-time statistics result for each entity temperature index for including in data information, specifically includes：By the real-time statistics knot
In fruit persistent storage to default storage device；
Then the method further includes：When the main thread occurs abnormal, united by the default storage device recovery
The real-time statistics result of meter.
7. according to the method described in claim 6, wherein, when the main thread further comprises multiple main threads run parallel
When, the default storage device further comprises that multiple data corresponding with each main thread divide bucket, then described to pass through
The step of default storage device restores the real-time statistics result counted specifically includes：
Divide bucket mapping relations according to preset thread, determines that data corresponding with there is abnormal main thread divide bucket, according to institute
Stating data corresponding with there is abnormal main thread divides bucket to restore the real-time statistics result counted.
8. a kind of determination system of entity temperature, including：
Statistical module, suitable for the reality for each entity temperature index for including in real-time statistics and the relevant daily record data information of entity
When statistical result；
First acquisition module is suitable for whenever reaching the preset time cycle, obtains each reality counted in this time cycle
The real-time statistics result of body heat degree index；
Determining module, be suitable for according to the real-time statistics result of each entity temperature index counted in this described time cycle with
And preset temperature computation rule, determine the real-time temperature numerical value of entity in this time cycle.
9. a kind of electronic equipment, including：Processor, memory, communication interface and communication bus, the processor, the storage
Device and the communication interface complete mutual communication by the communication bus；
The memory makes the processor execute as right is wanted for storing an at least executable instruction, the executable instruction
Ask the corresponding operation of determination method of the entity temperature described in any one of 1-7.
10. a kind of computer storage media, an at least executable instruction, the executable instruction are stored in the storage medium
Make the corresponding operation of determination method of entity temperature of the processor execution as described in any one of claim 1-7.
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