CN109325056A - A kind of big data processing method and processing device, communication equipment - Google Patents
A kind of big data processing method and processing device, communication equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a kind of big data processing methods, are related to data processing field, improve the response speed of user query request to a certain extent.This method comprises: receiving the first inquiry request that client is sent, first inquiry request includes user identifier and business scenario mark；It is identified according to the user identifier and the business scenario, it is determining to identify uniquely corresponding problem association identification with the user identifier and the business scenario；By in first inquiry request the user identifier and the business scenario mark replace with described problem association identification, to generate the second inquiry request；With the presence or absence of index mark and the matched query result of described problem association identification included by second inquiry request in detection caching；If there are corresponding query results in the caching, the query result found is given to the client.The embodiment of the present invention is suitable for the big data concurrent processing process realized based on platform.
Description
[technical field]
The present invention relates to technical field of data processing more particularly to a kind of big data processing method and processing devices, communication equipment.
[background technique]
With the rapid development of network technology and social media, the mass data sharply expanded brings more next for user
More selections.But numerous network informations is faced, the information that the sum that user selects oneself needs is liked becomes time-consuming and laborious.
When current information query method is directed to small-scale data access request, it can accomplish to be directed to user data visit in time
It asks the relevant information of request, recommends letter related to user's request out from numerous corresponding feedback results of solicited message for user
Cease corresponding feedback result；But when information recommendation method faces the data access request of big rule, information recommendation method needle
User's access to high concurrent then may cannot be accomplished to be directed in time to user's request delay for each user request
The relevant information of user data access request is recommended out and user for user from numerous corresponding feedback results of solicited message
Request the corresponding feedback result of relevant information.
In conclusion existing information recommendation method, when facing large-scale data access, the request of user would generally
It is delayed by, there are users effectively to be responded in time, it is difficult to the problem of getting the information of needs and hobby.
[summary of the invention]
In view of this, the embodiment of the invention provides a kind of data processing methods based on big data and device, communication to set
It is standby, the response speed of user query request is improved to a certain extent.
In a first aspect, the embodiment of the invention provides a kind of big data processing methods, which comprises
The first inquiry request that client is sent is received, first inquiry request includes user identifier and business scenario mark
Know；
It is identified according to the user identifier and the business scenario, determining and the user identifier and the business scenario mark
Know uniquely corresponding problem association identification；
By in first inquiry request the user identifier and the business scenario mark replace with described problem close
Connection mark, to generate the second inquiry request；
With the presence or absence of index mark and described problem association identification included by second inquiry request in detection caching
Matched query result；
If there are corresponding query results in the caching, the query result found is sent to the client.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the method is also
Include:
If corresponding query result is not present in the caching, according to first inquiry request, in Test database
With the presence or absence of with the matched result of the first inquiry request；
If exist in the database it is matched with first inquiry request as a result, if the result that will find feed back to
The client.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation will be looked into described
The result found is fed back to after the client, further includes:
The result found is synchronized to the caching.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, it is described according to institute
The first inquiry request is stated, with the presence or absence of including: with the matched result of the first inquiry request in Test database
First inquiry request is put into request queue corresponding with the database；
When first inquiry request is selected in the request queue, in Test database with the presence or absence of with it is described
The matched result of first inquiry request.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the method is also
Include:
According to specified rule, the partial data in the database is synchronized in the caching.
Second aspect, the embodiment of the invention also provides a kind of big data processing unit, described device includes:
Receiving unit, for receiving the first inquiry request of client transmission, first inquiry request includes user's mark
Know and business scenario identifies；
Determination unit, for being identified according to the user identifier and the business scenario, it is determining with the user identifier and
The problem association identification that the business scenario mark uniquely corresponds to；
Replacement unit, for by first inquiry request the user identifier and the business scenario mark replacement
For described problem association identification, to generate the second inquiry request；
First detection unit, for whether there is included by index mark and second inquiry request in detection caching
The matched query result of described problem association identification；
Transmission unit, if sending the query result found for there are corresponding query results in the caching
To the client.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, described device is also
Include:
Second detection unit, if for corresponding query result to be not present in the caching, according to first inquiry
Request, whether there is in Test database and the matched result of the first inquiry request；
Feedback unit, for if in the database exist with first inquiry request it is matched as a result, if will search
To result feed back to the client.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, further includes:
First synchronization unit, for the result found to be synchronized to the caching.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, second inspection
Surveying unit includes:
It is put into module, for being put into first inquiry request in request queue corresponding with the database；
Detection module, when being used to be selected in the request queue when first inquiry request, in Test database
With the presence or absence of with the matched result of the first inquiry request.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, described device is also
Include:
Second synchronization unit, for according to specified rule, the partial data in the database to be synchronized to the caching
In.
The third aspect, the embodiment of the invention also provides a kind of communication equipments, comprising: processor, memory and input are defeated
Outgoing interface；The processor, memory and input/output interface are communicated by bus；Meter is configured in the memory
Calculation machine code, the processor can call the code to control input/output interface, and the processor is for realizing such as first
Every method described in aspect.
Fourth aspect, the embodiment of the invention also provides a kind of computer-readable medium, the computer-readable medium is logical
Executable instruction coding is crossed, one or more processors are encoded to be performed in the executable instruction, thus
Automatically carry out every method as described in relation to the first aspect.
Big data processing method and processing device provided in an embodiment of the present invention, communication equipment receive the inquiry that client sends and ask
After asking, by determining that the user identifier carried in request and business scenario identify, and then according to the user identifier and business field
Scape mark is corresponding as a result, compared to from the acquisition of the mass data of data as a result, directly from buffer area from inquiring in buffer area
Obtaining result will quickly much, it is possible to prevente effectively from information feeds back the problem of taking a long time when large-scale data accesses.
[Detailed description of the invention]
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this field
For those of ordinary skill, without any creative labor, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of composition block diagram of data processing system provided in an embodiment of the present invention；
Fig. 2 is a kind of data processing method flow chart based on big data provided in an embodiment of the present invention；
Fig. 3 is another data processing method flow chart based on big data provided in an embodiment of the present invention；
Fig. 4 is another data processing method flow chart based on big data provided in an embodiment of the present invention；
Fig. 5 is a kind of composition block diagram of big data processing unit provided in an embodiment of the present invention；
Fig. 6 is the composition block diagram of another big data processing unit provided in an embodiment of the present invention；
Fig. 7 is the composition block diagram of another big data processing unit provided in an embodiment of the present invention；
Fig. 8 is the composition block diagram of another big data processing unit provided in an embodiment of the present invention；
Fig. 9 is the composition block diagram of another big data processing unit provided in an embodiment of the present invention；
Figure 10 is a kind of composition block diagram of communication equipment provided in an embodiment of the present invention.
[specific embodiment]
For a better understanding of the technical solution of the present invention, being retouched in detail to the embodiment of the present invention with reference to the accompanying drawing
It states.
It will be appreciated that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
Its embodiment, shall fall within the protection scope of the present invention.
The term used in embodiments of the present invention is only to be not intended to be limiting merely for for the purpose of describing particular embodiments
The present invention.In the embodiment of the present invention and the "an" of singular used in the attached claims, " described " and "the"
It is also intended to including most forms, unless the context clearly indicates other meaning.
Big data processing method provided in an embodiment of the present invention, suitable for system architecture as shown in Figure 1, the system architecture
In include client, caching, database server.Client be include that each electron-like such as mobile phone, tablet computer, PC is set
Standby, for providing operable interface between software and hardware for user, caching is for storage section inquiry request and accordingly replies content, can
Setting is with client storage medium or background storage medium, and network side data library is for storing whole inquiry requests and mutually replying
Multiple content.The data content that network side data library is stored is obtained by user query historical analysis and processing, is stored
From data content is synchronized by network side data library.Network side data library and cache server are used equally for the inquiry of relative users
Request.Specific correlation method follow-up process description.
Based on system above framework, the embodiment of the invention provides a kind of big data processing methods, as shown in Fig. 2, executing
In aforementioned caching, which comprises
101, the first inquiry request that client is sent is received, first inquiry request includes user identifier and business field
Scape mark.
Wherein, user identifier can be account, identity ID etc., for inquiring data.For example, if user marks
Knowledge is game account, then the first inquiry request including user identifier can inquire all game note that the game account includes
Record；If user identifier is ID, the first inquiry request including user identifier can inquire all devices etc. of ID management.
Business scenario is identified as mark relevant to specific business function, problem types etc..
102, it is identified according to the user identifier and the business scenario, determining and the user identifier and the business field
The problem association identification that scape mark uniquely corresponds to.
In embodiments of the present invention, every group of user identifier needs uniquely to correspond to a problem with business scenario mark is associated with mark
Know, so as to cache can with rapid feedback as a result, and database can be quickly to cache synchronization data.
103, by first inquiry request the user identifier and business scenario mark replace with described ask
Association identification is inscribed, to generate the second inquiry request.
104, it is associated with the presence or absence of index mark with described problem included by second inquiry request in detection caching
Identify matched query result.
In embodiments of the present invention, the data in caching are come by database synchronization in advance, usually according to client
Based on the inquiry request initiated in the daily life of end, has and pointedly count relevant to the daily User behavior of the client
Query result, and by these query results by database synchronization to caching.Synchronizing process needs to follow certain specified rule, rule
It can then preset, can also be with provisional configuration, for example, it is desired to synchronous in the client free time, synchrodata amount must not be higher than
50% of client amount of storage etc..
It is buffered in the problem of user can often being proposed in storing process, corresponding default answer and corresponding problem association
Mark is stored together together.
If 105, there are corresponding query results in the caching, the query result found is sent to the client
End.
Big data processing method provided in an embodiment of the present invention after receiving the inquiry request that client sends, is asked by determination
The user identifier and business scenario mark of middle carrying are asked, and then according to the user identifier and business scenario mark from buffer area
Inquiry is corresponding as a result, compared to being obtained from the mass data of data as a result, obtaining result directly from buffer area quick will obtain
It is more, it is possible to prevente effectively from information feeds back the problem of taking a long time when large-scale data accesses.
For supplement, if being searched in the buffer less than correlated results, still allows for sending to database and request, therefore,
In the embodiment of the present invention, following below scheme can also be performed, as shown in Figure 3, comprising:
If corresponding query result 106, is not present in the caching, according to first inquiry request, detection data
It whether there is and the matched result of the first inquiry request in library.
107, if exist in the database it is matched with first inquiry request as a result, if the result that will find it is anti-
It feeds the client.
108, the result found is synchronized to the caching.
Wherein, there is still a need for carry corresponding problem association identification in synchronizing process.
To guarantee that query processing efficiency, the embodiment of the present invention are that all requests are provided with corresponding request queue, therefore, step
Rapid 106 can specifically execute as following steps, as shown in Figure 4, comprising:
1061, first inquiry request is put into request queue corresponding with the database.
1062, when being selected in the request queue when first inquiry request, whether there is in Test database
With the matched result of the first inquiry request.
The embodiment of the invention provides a kind of big data processing units, can be used for realizing aforementioned approaches method process, such as Fig. 5 institute
Show, described device includes:
Receiving unit 21, for receiving the first inquiry request of client transmission, first inquiry request includes user
Mark and business scenario mark.
Determination unit 22, for being identified according to the user identifier and the business scenario, the determining and user identifier
The problem association identification uniquely corresponded to business scenario mark.
Replacement unit 23, for by first inquiry request the user identifier and the business scenario mark replace
It is changed to described problem association identification, to generate the second inquiry request.
First detection unit 24, for whether there is included by index mark and second inquiry request in detection caching
The matched query result of described problem association identification.
Transmission unit 25, if sending out the query result found for there are corresponding query results in the caching
Give the client.
Optionally, as shown in fig. 6, described device further include:
Second detection unit 26, if being looked into for corresponding query result to be not present in the caching according to described first
Request is ask, whether there is and the matched result of the first inquiry request in Test database.
Feedback unit 27, for if in the database exist with first inquiry request it is matched as a result, if will look into
The result found feeds back to the client.
Optionally, as shown in Figure 7, further includes:
First synchronization unit 28, for the result found to be synchronized to the caching.
Optionally, as shown in figure 8, the second detection unit 26 includes:
It is put into module 261, for being put into first inquiry request in request queue corresponding with the database.
Detection module 262, when being used to be selected in the request queue when first inquiry request, Test database
In whether there is and the matched result of the first inquiry request.
Optionally, as shown in figure 9, described device further include:
Second synchronization unit 29, for the partial data in the database being synchronized to described slow according to specified rule
In depositing.
Big data processing unit provided in an embodiment of the present invention after receiving the inquiry request that client sends, is asked by determination
The user identifier and business scenario mark of middle carrying are asked, and then according to the user identifier and business scenario mark from buffer area
Inquiry is corresponding as a result, compared to being obtained from the mass data of data as a result, obtaining result directly from buffer area quick will obtain
It is more, it is possible to prevente effectively from information feeds back the problem of taking a long time when large-scale data accesses.
The embodiment of the invention provides a kind of communication equipments, comprising: processor 31, memory 32 and input/output interface
33；The processor 31, memory 32 and input/output interface 33 are communicated by bus；It is configured in the memory 32
There is computer code, the processor 31 can call the code to control input/output interface 33, and the processor 31 is used for
Realize following below scheme:
The first inquiry request that client is sent is received, first inquiry request includes user identifier and business scenario mark
Know；
It is identified according to the user identifier and the business scenario, determining and the user identifier and the business scenario mark
Know uniquely corresponding problem association identification；
By in first inquiry request the user identifier and the business scenario mark replace with described problem close
Connection mark, to generate the second inquiry request；
With the presence or absence of index mark and described problem association identification included by second inquiry request in detection caching
Matched query result；
If there are corresponding query results in the caching, the query result found is sent to the client.
Wherein, the method also includes:
If corresponding query result is not present in the caching, according to first inquiry request, in Test database
With the presence or absence of with the matched result of the first inquiry request；
If exist in the database it is matched with first inquiry request as a result, if the result that will find feed back to
The client.
Wherein, after the result that will be found feeds back to the client, further includes:
The result found is synchronized to the caching.
Wherein, described according to first inquiry request, it whether there is in Test database and first inquiry request
Matched result includes:
First inquiry request is put into request queue corresponding with the database；
When first inquiry request is selected in the request queue, in Test database with the presence or absence of with it is described
The matched result of first inquiry request.
Wherein, the method also includes:
According to specified rule, the partial data in the database is synchronized in the caching.
The embodiment of the invention also provides a kind of computer-readable medium, the computer-readable medium is referred to by executable
Coding is enabled, one or more processors are encoded to be performed in the executable instruction, to automatically carry out
Following method:
The first inquiry request that client is sent is received, first inquiry request includes user identifier and business scenario mark
Know；
It is identified according to the user identifier and the business scenario, determining and the user identifier and the business scenario mark
Know uniquely corresponding problem association identification；
By in first inquiry request the user identifier and the business scenario mark replace with described problem close
Connection mark, to generate the second inquiry request；
With the presence or absence of index mark and described problem association identification included by second inquiry request in detection caching
Matched query result；
If there are corresponding query results in the caching, the query result found is sent to the client.
Wherein, the method also includes:
If corresponding query result is not present in the caching, according to first inquiry request, in Test database
With the presence or absence of with the matched result of the first inquiry request；
If exist in the database it is matched with first inquiry request as a result, if the result that will find feed back to
The client.
Wherein, after the result that will be found feeds back to the client, further includes:
The result found is synchronized to the caching.
Wherein, described according to first inquiry request, it whether there is in Test database and first inquiry request
Matched result includes:
First inquiry request is put into request queue corresponding with the database；
When first inquiry request is selected in the request queue, in Test database with the presence or absence of with it is described
The matched result of first inquiry request.
Wherein, the method also includes:
According to specified rule, the partial data in the database is synchronized in the caching.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
It is each that device (can be personal computer, server or network equipment etc.) or processor (Processor) execute the present invention
The part steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. it is various
It can store the medium of program code.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.
Claims (10)
1. a kind of big data processing method, which is characterized in that the described method includes:
The first inquiry request that client is sent is received, first inquiry request includes user identifier and business scenario mark；
It is identified according to the user identifier and the business scenario, it is determining to be identified only with the user identifier and the business scenario
One corresponding problem association identification；
The user identifier in first inquiry request is replaced with into described problem with business scenario mark and is associated with mark
Know, to generate the second inquiry request；
It is matched with the presence or absence of index mark with described problem association identification included by second inquiry request in detection caching
Query result；
If there are corresponding query results in the caching, the query result found is sent to the client.
2. the method according to claim 1, wherein the method also includes:
If corresponding query result is not present in the caching, according to first inquiry request, in Test database whether
In the presence of with the matched result of the first inquiry request；
If exist in the database it is matched with first inquiry request as a result, if the result that will find feed back to it is described
Client.
3. according to the method described in claim 2, it is characterized in that, feeding back to the client in the result that will be found
Later, further includes:
The result found is synchronized to the caching.
4. according to the method described in claim 3, it is characterized in that, described according to first inquiry request, Test database
In with the presence or absence of with the matched result of the first inquiry request including:
First inquiry request is put into request queue corresponding with the database；
When first inquiry request is selected in the request queue, whether there is and described first in Test database
The matched result of inquiry request.
5. according to the method described in claim 4, it is characterized in that, the method also includes:
According to specified rule, the partial data in the database is synchronized in the caching.
6. a kind of big data processing unit, which is characterized in that described device includes:
Receiving unit, for receive client transmission the first inquiry request, first inquiry request include user identifier and
Business scenario mark；
Determination unit, it is determining with the user identifier and described for being identified according to the user identifier and the business scenario
The problem association identification that business scenario mark uniquely corresponds to；
Replacement unit, for by first inquiry request the user identifier and the business scenario mark replace with institute
Problem association identification is stated, to generate the second inquiry request；
First detection unit, for it whether there is included by index mark and second inquiry request in detection caching described in
The matched query result of problem association identification；
Transmission unit, if the query result found is sent to institute for there are corresponding query results in the caching
State client.
7. device according to claim 6, which is characterized in that described device further include:
Second detection unit, if for corresponding query result to be not present in the caching, according to first inquiry request,
It whether there is and the matched result of the first inquiry request in Test database；
Feedback unit, for if exist in the database it is matched with first inquiry request as a result, if will find
As a result the client is fed back to.
8. device according to claim 7, which is characterized in that further include:
First synchronization unit, for the result found to be synchronized to the caching.
9. device according to claim 8, which is characterized in that the second detection unit includes:
It is put into module, for being put into first inquiry request in request queue corresponding with the database；
Detection module, for when first inquiry request is selected in the request queue, in Test database whether
In the presence of with the matched result of the first inquiry request.
10. a kind of communication equipment characterized by comprising processor, memory and input/output interface；The processor is deposited
Reservoir and input/output interface are communicated by bus；Computer code, the processor are configured in the memory
The code can be called to control input/output interface, the processor is for realizing as described in claim 1 to 6 any one
Method.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110515987A (en) * | 2019-08-30 | 2019-11-29 | 恩亿科(北京)数据科技有限公司 | A kind of querying method and device of data analysis result |
| CN112148925A (en) * | 2019-06-27 | 2020-12-29 | 北京百度网讯科技有限公司 | User identification correlation query method, device, equipment and readable storage medium |
| CN112818202A (en) * | 2019-11-18 | 2021-05-18 | 北京京东振世信息技术有限公司 | Data query method and device |
| CN112835929A (en) * | 2021-01-28 | 2021-05-25 | 卓望数码技术（深圳）有限公司 | User management method, system and storage medium |
| CN113806389A (en) * | 2021-09-22 | 2021-12-17 | 未鲲(上海)科技服务有限公司 | Data processing method and device, computing equipment and storage medium |
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