CN107330119B - Caching data processing method, electronic equipment, computer storage media - Google Patents
Caching data processing method, electronic equipment, computer storage media Download PDFInfo
- Publication number
- CN107330119B CN107330119B CN201710574172.3A CN201710574172A CN107330119B CN 107330119 B CN107330119 B CN 107330119B CN 201710574172 A CN201710574172 A CN 201710574172A CN 107330119 B CN107330119 B CN 107330119B
- Authority
- CN
- China
- Prior art keywords
- data
- key
- update
- data key
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of caching data processing method, electronic equipment, computer storage media, method includes：According to the update feedback information of batch data, the algorithm factor of the corresponding preset data key generating algorithm of update type of service；Receive the data inquiry request that client is sent；Data inquiry request carries the first data key of data to be checked；Using updated preset data key generating algorithm, caching the second data key used is generated according to the first data key；The corresponding data query result of first data key and the second data key are associated, and stored in the buffer.To by updated data, and the second data key storage for being generated using preset data key generating algorithm after update when subsequent query in the buffer to use.Meanwhile already existing data key can be automatically deleted in the case where not being queried use by caching in caching.
Description
Technical field
The present invention relates to software fields, and in particular to a kind of caching data processing method, electronic equipment, computer storage are situated between
Matter.
Background technology
When inquiring data, corresponding result is searched from database according to the data key of inquiry.But due to every time from number
The consumption regular hour is needed when inquiry according in library.If in the buffer by data key and its storage of corresponding result, when needs are looked into
When inquiry, it can be inquired from caching and obtain corresponding data, and then greatly improve inquiry velocity, can preferably cope with business needs
It asks.Therefore, when realizing service inquiry, data key and its corresponding result can be stored in the buffer, in order to follow-up right
Data can directly acquire data when being inquired from caching.
But when the data of actual storage in database change, since what is still stored in caching is the number not changed
According to the data obtained from caching in inquiry are not correct data.When the data in database change, need pair
Caching is refreshed, and data therein are updated.The prior art is general using in caching when refreshing to caching
Data carry out delete or again to the data assignment in caching to realize the refreshing to caching.But work as large batch of data all
When changing, when deleting one rule of data in caching, speed is slow and efficiency is low.Business can also be weighed when realizing
Assignment again newly is carried out to the data in caching so that there is reprocessing in processing.
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 the caching data processing method, electronic equipment, computer storage media of problem.
According to an aspect of the invention, there is provided a kind of caching data processing method comprising：
According to the update feedback information of batch data, the algorithm of the corresponding preset data key generating algorithm of update type of service
The factor；
Receive the data inquiry request that client is sent；Data inquiry request carries the first data of data to be checked
Key；
Using updated preset data key generating algorithm, caching the second data used are generated according to the first data key
Key；
The corresponding data query result of first data key and the second data key are associated, and stored in the buffer.
According to another aspect of the present invention, a kind of electronic equipment is provided, 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 following that the executable instruction makes the processor execute
Operation：
According to the update feedback information of batch data, the algorithm of the corresponding preset data key generating algorithm of update type of service
The factor；
Receive the data inquiry request that client is sent；Data inquiry request carries the first data of data to be checked
Key；
Using updated preset data key generating algorithm, caching the second data used are generated according to the first data key
Key；
The corresponding data query result of first data key and the second data key are associated, and stored in the buffer.
According to another aspect of the invention, provide a kind of computer storage media, be stored in the storage medium to
A few executable instruction, the executable instruction make the processor execute following operation：
According to the update feedback information of batch data, the algorithm of the corresponding preset data key generating algorithm of update type of service
The factor；
Receive the data inquiry request that client is sent；Data inquiry request carries the first data of data to be checked
Key；
Using updated preset data key generating algorithm, caching the second data used are generated according to the first data key
Key；
The corresponding data query result of first data key and the second data key are associated, and stored in the buffer.
According to caching data processing method provided by the invention, electronic equipment, computer storage media, when generation lot number
When according to update, according to the update feedback information of batch data, the calculation of the corresponding preset data key generating algorithm of update type of service
The method factor.After the data inquiry request for receiving client transmission, using updated preset data key generating algorithm, according to
The first data key that data inquiry request carries generates caching the second data key used；The corresponding data of first data key are looked into
It askes result and the second data key is associated, and store in the buffer.Thus by updated data, and use present count after update
The the second data key storage generated according to key generating algorithm when subsequent query in the buffer to use.Meanwhile it being deposited in caching
Data key in the case where not being queried use, can by caching be deleted automatically.
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 the flow chart of according to embodiments of the present invention one caching data processing method；
Fig. 2 shows the flow charts of according to embodiments of the present invention two caching data processing method；
Fig. 3 shows the structural schematic diagram of according to embodiments of the present invention four a kind of electronic equipment.
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 the flow chart of according to embodiments of the present invention one caching data processing method, as shown in Figure 1, caching
Data processing method specifically comprises the following steps：
Step S101, according to the update feedback information of batch data, the corresponding preset data key of update type of service generates
The algorithm factor of algorithm.
When batch data updates, the price as stored many books in database, when to the valence of a large amount of books
New discount is arranged in lattice, when modifying to books price, has batch data and is required to be updated.According to database to criticizing
Feedback information after amount being updated of data, or according to business in the update for completing the updated batch data of batch data
Feedback information, can therefrom obtain with the relevant type of service of the batch data, and update the corresponding preset data of type of service
The algorithm factor of key generating algorithm.Type of service is to update the specific business of the batch data, such as value traffic.It is not of the same trade or business
Service type corresponds to the algorithm factor in different preset data key generating algorithms, and each type of service corresponds one pre-
If the algorithm factor in data key generating algorithm.Wherein, algorithm factor can be the various marks such as number, letter, symbol, more
New algorithm can be updated algorithm factor according to preset update rule because of the period of the day from 11 p.m. to 1 a.m.
Optionally, algorithm factor contains the data update version factor.To the algorithm factor of preset data key generating algorithm
Update, including the update to the data update version factor.Such as the value of the corresponding data update version factor of a certain type of service
Be 1, when the batch data of the type of service is updated, the corresponding data update version of corresponding update type of service because
The value of son is 2.Further, when update, the more new range of the data update version factor can also be set, reuse more new range
The data update version factor is arranged in interior value.The update ranging from 1-5000 of the data update version factor is such as set, data are worked as
After more the new version factor is updated to 5000, it is updated to 1 when updating the data the more new version factor, is continued since 1 again
Update.
If data do not have batch updating, the algorithm factor in preset data key generating algorithm not to update.
Step S102 receives the data inquiry request that client is sent.
When client needs to inquire data, it may occur that data inquiry request.Receive the data of client transmission
Inquiry request, wherein data inquiry request carries the first data key of data to be checked.Inquire data the first data key with
The data key that data are stored in database is consistent.Meanwhile according to the data inquiry request received, the data can also be obtained and looked into
Ask the corresponding type of service of request.Such as according to the process path of data inquiry request, inquire relevant configuration information, send out data
The page info etc. of inquiry request, can obtain the type of service corresponding to data inquiry request.Different business have difference
The data inquiry request of type of service.
Step S103 is generated according to the first data key used in caching using updated preset data key generating algorithm
Second data key.
Using updated preset data key generating algorithm, the second data key is generated.Second data key is mainly used for caching
The data of middle storage.Second data key is generated according to the first data key, can include the first number when generation in the second data key
It is included in the second data key according to key, and by the algorithm factor in preset data key generating algorithm.As preset data key generates
The second data key that algorithm generates is the combination of the first data key and algorithm factor or preset data key generating algorithm generates the
Two data keies are by the first data key and algorithm factor according to being obtained after functional operation.Preset data key generating algorithm is according to reality
It applies situation to be configured, not limit herein.
The corresponding data query result of first data key and the second data key are associated, and are stored in slow by step S104
In depositing.
Updated data query result is inquired according to the first data key, by the data query result and the second of generation
Data key is associated, generates one-to-one data key values pair.By the data key values to storing in the buffer.
When needing to inquire data again, after receiving the data inquiry request that client is sent, preset data key is utilized
The second data key that generating algorithm generates is identical with the second data key in caching.It can be from caching according to the second data key
In find its corresponding data query result.If the update of batch data occurs, the algorithm of preset data key generating algorithm
The factor can be also updated accordingly.It then needs to regenerate the second new data key using preset data key generating algorithm, and
The second new data key is different with the second old data key in caching, will not search the second old number from caching again
According to key.Since the lru algorithm (Least Recently Used, be not used at most recently) of caching itself can will not be used
Data key is deleted, and the operation for deleting the legacy data key-value pair stored in caching manually is eliminated.Or caching can be set
Expired time is deleted automatically when the time that the second old data key in caching is not accessed reaching expired time
It removes.
According to caching data processing method provided by the invention, when batch data update occurs, according to batch data
Update feedback information, the algorithm factor of the corresponding preset data key generating algorithm of update type of service.Receiving client hair
After the data inquiry request sent, using updated preset data key generating algorithm, first carried according to data inquiry request
Data key generates caching the second data key used；The corresponding data query result of first data key is related to the second data key
Connection, and store in the buffer.Thus by updated data, and use second of preset data key generating algorithm generation after update
Data key storage when subsequent query in the buffer to use.Meanwhile to already existing old data key in caching its not
Again by use in the case of, by caching be deleted automatically, avoid being manually operated, improve data cached elimination efficiency.
Embodiment two
Fig. 2 shows the flow charts of according to embodiments of the present invention two caching data processing method, as shown in Fig. 2, caching
Data processing method includes the following steps：
Step S201, according to the update feedback information of batch data, the corresponding data cached expired mark of setting type of service
Note.
Step S202, according to the corresponding data cached expired label of type of service, the corresponding present count of update type of service
According to the algorithm factor of key generating algorithm.
According to the update feedback information of batch data, first judge whether the amount of updating the data of batch data is more than default update
Threshold value.If so, data cached expired label is arranged according to the type of service of batch data.If the amount of updating the data of batch data
It is only 10 less than default update threshold value, such as the amount of updating the data of batch data, it can be data cached by updating manually.
According to the corresponding data cached expired label of type of service, the corresponding preset data key of the type of service can be updated
The algorithm factor of generating algorithm.The factor needed in algorithm factor, that is, preset data key generating algorithm.Preset data key generates
Algorithm is specially such as to data key prefixing or suffix algorithm.Wherein, the particular content of prefix or suffix has included at least data
Update version information and traffic type information.Different service types correspond to different prefix or suffixes.Update algorithm factor i.e. more
The content that its new prefix or suffix is included.Update when, according to the type of service of batch data, find comprising and the business
The prefix or suffix of the traffic type information of type matching.The data update version for being included to the prefix or suffix found
Information is updated.Data update version information can such as use number, letter, symbol to be identified, and when update will be old
Data update version information adds 1 to obtain new data update version information；Or；By old data update version information when update
New data update version information etc. is arranged in update in alphabetical order.Further, when update, data update version can also be set
Data update version information is arranged in the more new range of this information, the value reused in more new range.Data update is such as set
The update of version information ranging from 1-5000 is updating the data more new version after data update version information is updated to 5000
It is updated to 1 when information, continues to update since 1 again.
Step S203 receives the data inquiry request that client is sent.
Step S204 receives the corresponding query result of the first data key that database returns.
When client needs to inquire data, it may occur that data inquiry request.Receive the data of client transmission
Inquiry request, wherein data inquiry request carries the first data key of data to be checked.Inquire data the first data key with
The data key that data are stored in database is consistent.Meanwhile according to the data inquiry request received, the data can also be obtained and looked into
Ask the corresponding type of service of request.Such as according to the process path of data inquiry request, inquire relevant configuration information, send out data
The page info etc. of inquiry request, can obtain the type of service corresponding to data inquiry request.Different business have difference
The data inquiry request of type of service.Since batch data is updated, and it is corresponding corresponding slow provided with type of service
The expired label of deposit data.According to data cached overdue indicator, it is known that data are updated, and the data in caching at this time are not most
New data.Therefore, it is necessary to which the data inquiry request is sent to database, and receive the first data key pair of database return
The query result answered.
Step S205 generates caching the second data used using preset data key generating algorithm according to the first data key
Key.
Using updated preset data key generating algorithm, increase prefix or suffix for the first data key, generates the second number
According to key.Wherein, the particular content of prefix or suffix after step S202 updates by obtaining.Second data key is mainly used for depositing in caching
The data of storage.
The corresponding data query result of first data key and the second data key are associated, and are stored in slow by step S206
In depositing.
The corresponding query result of the first data key that database is returned is associated with the second data key generated, generates one
One corresponding data key values pair.By the data key values to storing in the buffer.
Further, after data query result and the storage to caching of the second data key, it is also necessary to eliminate data cached expired
Label, that is, the data in caching have been latest data.
When needing to inquire data again, after receiving the data inquiry request that client is sent, preset data key is utilized
The second data key that generating algorithm generates is identical with the second data key in caching.At this point, being not provided with data cached mistake
Phase identifies, and can directly find its corresponding data query result from caching according to the second data key.If lot number occurs
According to update when, the algorithm factor of preset data key generating algorithm can be also updated accordingly.It then needs to utilize preset data
Key generating algorithm regenerates the second new data key, and the second new data key and the second old data key in caching are not
With.Since there are data cached overdue indicators, the second old data key is no longer searched from caching, and from database directly
Searching data.Since the lru algorithm (Least Recently Used, be not used at most recently) of caching itself will can no longer make
Data key is deleted, and the operation for deleting the legacy data key-value pair stored in caching manually is eliminated.Or it can be arranged
Cache expired time, when time that the second old data key in caching is not accessed reaching expired time, automatically by its into
Row is deleted.
Type of service pair is set when batch data update occurs according to caching data processing method provided by the invention
The data cached expired label answered.According to data cached overdue indicator, the corresponding preset data key of its type of service can be updated
The algorithm factor of generating algorithm.After the data inquiry request for receiving client transmission, it is corresponding that its is searched from database
Query result.And updated preset data key generating algorithm is utilized, increase prefix or suffix for the first data key, generates second
Data key.The corresponding data query result of first data key and the second data key are associated, and stored in the buffer.Thus will
Updated data, and stored in the buffer with after an action of the bowels using the second data key that preset data key generating algorithm after update generates
It is used when continuous inquiry.Meanwhile to already existing old data key in caching in the case where it is no longer used, certainly by caching
It is dynamic to be deleted, it avoids being manually operated, improves data cached elimination efficiency.
Embodiment three
The embodiment of the present application three 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 data cached processing in above-mentioned any means embodiment
Method.
Executable instruction specifically can be used for so that processor executes following operation：According to the update feedback letter of batch data
Breath, the algorithm factor of the corresponding preset data key generating algorithm of update type of service；The data query that client is sent is received to ask
It asks；Data inquiry request carries the first data key of data to be checked；Utilize updated preset data key generating algorithm, root
Caching the second data key used is generated according to the first data key；By the corresponding data query result of the first data key and the second data
Key is associated, and stores in the buffer.
In a kind of optional embodiment, algorithm factor includes the data update version factor.
In a kind of optional embodiment, executable instruction further makes processor execute following operation：According to batch
The update feedback information of data, the corresponding data cached expired label of setting type of service；According to the corresponding caching of type of service
The expired label of data, the algorithm factor of the corresponding preset data key generating algorithm of update type of service.
In a kind of optional embodiment, executable instruction further makes processor execute following operation：According to batch
The update feedback information of data, judges whether the amount of updating the data of batch data is more than default update threshold value；If so, setting caching
The expired label of data.
In a kind of optional embodiment, preset data key generating algorithm is specially prefixing or suffix algorithm, prefix
Or suffix includes at least data update version information and traffic type information；It is following that executable instruction further executes processor
Operation：According to the type of service of batch data, find comprising with the prefix of the matched traffic type information of the type of service or
Suffix；The data update version information that the found prefix or suffix of update is included；For the first data key increase prefix or
Suffix.
In a kind of optional embodiment, executable instruction further makes processor execute following operation：Receive data
The corresponding query result of the first data key that library returns.
Example IV
Fig. 3 shows the structural schematic diagram of according to embodiments of the present invention four a kind of electronic equipment, present invention specific implementation
Example does not limit the specific implementation of electronic equipment.
As shown in figure 3, the electronic equipment may include：Processor (processor) 302, communication interface
(Communications Interface) 304, memory (memory) 306 and communication bus 308.
Wherein：
Processor 302, communication interface 304 and memory 306 complete mutual communication by communication bus 308.
Communication interface 304, for being communicated with the network element of miscellaneous equipment such as client or other servers etc..
Processor 302 can specifically be executed for executing program 310 in above-mentioned caching data processing method embodiment
Correlation step.
Specifically, program 310 may include program code, which includes computer-managed instruction.
Processor 302 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 server includes can be same type of processor, such as one or more CPU；It can also
It is different types of processor, such as one or more CPU and one or more ASIC.
Memory 306, for storing program 310.Memory 306 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 310 specifically can be used for so that processor 302 executes following operation：
In a kind of optional embodiment, program 310 is for so that processor 302 is fed back according to the update of batch data
Information, the algorithm factor of the corresponding preset data key generating algorithm of update type of service；Receive the data query that client is sent
Request；Data inquiry request carries the first data key of data to be checked；Using updated preset data key generating algorithm,
Caching the second data key used is generated according to the first data key；The corresponding data query result of first data key and second are counted
It is associated according to key, and store in the buffer.
In a kind of optional embodiment, algorithm factor includes the data update version factor.
In a kind of optional embodiment, program 310 is for so that processor 302 is fed back according to the update of batch data
Information, the corresponding data cached expired label of setting type of service；According to the corresponding data cached expired label of type of service, more
The algorithm factor of the corresponding preset data key generating algorithm of new business type.
In a kind of optional embodiment, program 310 is for so that processor 302 is fed back according to the update of batch data
Information, judges whether the amount of updating the data of batch data is more than default update threshold value；If so, the data cached expired label of setting.
In a kind of optional embodiment, preset data key generating algorithm is specially prefixing or suffix algorithm, prefix
Or suffix includes at least data update version information and traffic type information；Program 310 is for making processor 302 according to batch
The type of service of data is found comprising the prefix or suffix with the matched traffic type information of the type of service；Update is looked into
The data update version information that the prefix or suffix found is included；Increase prefix or suffix for the first data key.
In a kind of optional embodiment, program 310 is for so that processor 302 receives the first number that database returns
According to the corresponding query result of key.
The specific implementation of each step may refer in the corresponding steps in above-mentioned data cached Processing Example in program 310
Corresponding description, this will not be repeated here.It is apparent to those skilled in the art that for convenience and simplicity of description,
The equipment of foregoing description and the specific work process of module, can refer to corresponding processes in the foregoing method embodiment description,
This is repeated no more.
The scheme provided through this embodiment, when batch data update occurs, according to the update feedback letter of batch data
Breath, the algorithm factor of the corresponding preset data key generating algorithm of update type of service.It is looked into the data for receiving client transmission
After asking request, using updated preset data key generating algorithm, generated according to the first data key that data inquiry request carries
Caching the second data key used；The corresponding data query result of first data key and the second data key are associated, and stored
In the buffer.To be deposited by updated data, and using the second data key that preset data key generating algorithm after update generates
Storage when subsequent query in the buffer to use.Meanwhile in caching already existing data key the case where not being queried use
Under, it can be automatically deleted by caching.
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, such as right
As claim reflects, inventive aspect is all features less than single embodiment disclosed above.Therefore, it then follows tool
Thus claims of body embodiment are expressly incorporated in the specific implementation mode, wherein each claim conduct itself
The separate embodiments 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 detail in the claims, embodiment claimed it is one of arbitrary
It mode can use in any combination.
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.The use of word first, second, and third does not indicate that any sequence.These words can be construed to title.
Claims (12)
1. a kind of caching data processing method comprising：
According to the update feedback information of batch data, the corresponding data cached expired label of setting type of service updates service class
The algorithm factor of the corresponding preset data key generating algorithm of type；
Receive the data inquiry request that client is sent；The data inquiry request carries the first data of data to be checked
Key；
Receive the corresponding query result of first data key that database returns；
Using updated preset data key generating algorithm, caching the second data used are generated according to first data key
Key；
The corresponding data query result of first data key and second data key are associated, and stored in the buffer.
2. according to the method described in claim 1, wherein, the algorithm factor includes the data update version factor.
3. according to the method described in claim 1, wherein, service class is arranged in the update feedback information according to batch data
The corresponding data cached expired label of type further comprises：
According to the update feedback information of batch data, judge whether the amount of updating the data of the batch data is more than default update threshold
Value；
If so, the corresponding data cached expired label of setting type of service.
4. according to the method described in claim 1, wherein, the preset data key generating algorithm is specially that prefixing or suffix are calculated
Method, the prefix or suffix include at least data update version information and traffic type information；
The update feedback information according to batch data, the corresponding data cached expired label of setting type of service, updates industry
The algorithm factor of the corresponding preset data key generating algorithm of service type further comprises：
According to the type of service of batch data, find comprising with the prefix of the matched traffic type information of the type of service or after
Sew；
The data update version information that the found prefix or suffix of update is included；
It is described to utilize updated preset data key generating algorithm, caching the second number used is generated according to first data key
Further comprise according to key：Increase prefix or suffix for first data key.
5. 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 following behaviour for storing an at least executable instruction, the executable instruction
Make：
According to the update feedback information of batch data, the corresponding data cached expired label of setting type of service updates service class
The algorithm factor of the corresponding preset data key generating algorithm of type；
Receive the data inquiry request that client is sent；The data inquiry request carries the first data of data to be checked
Key；
Receive the corresponding query result of first data key that database returns；
Using updated preset data key generating algorithm, caching the second data used are generated according to first data key
Key；
The corresponding data query result of first data key and second data key are associated, and stored in the buffer.
6. electronic equipment according to claim 5, the algorithm factor includes the data update version factor.
7. electronic equipment according to claim 5, the executable instruction further makes the processor execute following behaviour
Make：
According to the update feedback information of batch data, judge whether the amount of updating the data of the batch data is more than default update threshold
Value；
If so, the corresponding data cached expired label of setting type of service.
8. electronic equipment according to claim 5, the preset data key generating algorithm is specially that prefixing or suffix are calculated
Method, the prefix or suffix include at least data update version information and traffic type information；
The executable instruction further makes the processor execute following operation：
According to the type of service of batch data, find comprising with the prefix of the matched traffic type information of the type of service or after
Sew；
The data update version information that the found prefix or suffix of update is included；
Increase prefix or suffix for first data key.
9. a kind of computer storage media, an at least executable instruction, the executable instruction are stored in the storage medium
Processor is set to execute following operation：
According to the update feedback information of batch data, the corresponding data cached expired label of setting type of service updates service class
The algorithm factor of the corresponding preset data key generating algorithm of type；
Receive the data inquiry request that client is sent；The data inquiry request carries the first data of data to be checked
Key；
Receive the corresponding query result of first data key that database returns；
Using updated preset data key generating algorithm, caching the second data used are generated according to first data key
Key；
The corresponding data query result of first data key and second data key are associated, and stored in the buffer.
10. computer storage media according to claim 9, the algorithm factor includes the data update version factor.
11. computer storage media according to claim 9, the executable instruction further executes the processor
It operates below：
According to the update feedback information of batch data, judge whether the amount of updating the data of the batch data is more than default update threshold
Value；
If so, the corresponding data cached expired label of setting type of service.
12. computer storage media according to claim 9, the preset data key generating algorithm be specially prefixing or
Suffix algorithm, the prefix or suffix include at least data update version information and traffic type information；
The executable instruction further makes the processor execute following operation：
According to the type of service of batch data, find comprising with the prefix of the matched traffic type information of the type of service or after
Sew；
The data update version information that the found prefix or suffix of update is included；
Increase prefix or suffix for first data key.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710574172.3A CN107330119B (en) | 2017-07-14 | 2017-07-14 | Caching data processing method, electronic equipment, computer storage media |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710574172.3A CN107330119B (en) | 2017-07-14 | 2017-07-14 | Caching data processing method, electronic equipment, computer storage media |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107330119A CN107330119A (en) | 2017-11-07 |
| CN107330119B true CN107330119B (en) | 2018-08-03 |
Family
ID=60227292
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710574172.3A Active CN107330119B (en) | 2017-07-14 | 2017-07-14 | Caching data processing method, electronic equipment, computer storage media |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107330119B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110019212B (en) * | 2017-11-29 | 2021-06-18 | 杭州海康威视数字技术股份有限公司 | Data processing method and device and database server |
| CN110019340A (en) * | 2017-12-08 | 2019-07-16 | 北京新媒传信科技有限公司 | Data storage/read method, apparatus and system |
| CN111352957A (en) * | 2020-02-25 | 2020-06-30 | 京东数字科技控股有限公司 | Remote dictionary service optimization method and related equipment |
| CN113010535B (en) * | 2021-03-12 | 2024-03-08 | 北京百度网讯科技有限公司 | Cache data updating method, device, equipment and storage medium |
| CN113297280A (en) * | 2021-06-10 | 2021-08-24 | 北京开科唯识技术股份有限公司 | Data processing method and device, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9262323B1 (en) * | 2012-11-26 | 2016-02-16 | Amazon Technologies, Inc. | Replication in distributed caching cluster |
| CN105608197A (en) * | 2015-12-25 | 2016-05-25 | Tcl集团股份有限公司 | Method and system for obtaining Memcache data under high concurrency |
| CN105843895A (en) * | 2016-03-22 | 2016-08-10 | 北京建飞无限科技有限公司 | EhCache-based data querying and synchronizing method, device and system |
| CN106021468A (en) * | 2016-05-17 | 2016-10-12 | 上海携程商务有限公司 | Updating method and system for distributed caches and local caches |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102541927B (en) * | 2010-12-30 | 2013-11-13 | 北京新媒传信科技有限公司 | Method and device for realizing data cache |
| CN102902730B (en) * | 2012-09-10 | 2016-04-20 | 新浪网技术(中国)有限公司 | Based on data reading method and the device of data buffer storage |
| CN103853727B (en) * | 2012-11-29 | 2018-07-31 | 深圳中兴力维技术有限公司 | Improve the method and system of big data quantity query performance |
| US20140324875A1 (en) * | 2013-04-29 | 2014-10-30 | Keyw Corporation | Index for fast batch updates of large data tables |
-
2017
- 2017-07-14 CN CN201710574172.3A patent/CN107330119B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9262323B1 (en) * | 2012-11-26 | 2016-02-16 | Amazon Technologies, Inc. | Replication in distributed caching cluster |
| CN105608197A (en) * | 2015-12-25 | 2016-05-25 | Tcl集团股份有限公司 | Method and system for obtaining Memcache data under high concurrency |
| CN105843895A (en) * | 2016-03-22 | 2016-08-10 | 北京建飞无限科技有限公司 | EhCache-based data querying and synchronizing method, device and system |
| CN106021468A (en) * | 2016-05-17 | 2016-10-12 | 上海携程商务有限公司 | Updating method and system for distributed caches and local caches |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107330119A (en) | 2017-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107330119B (en) | Caching data processing method, electronic equipment, computer storage media | |
| CN103678494B (en) | Client synchronization services the method and device of end data | |
| CN103020193B (en) | The method and apparatus of process database operations request | |
| CN108055343A (en) | For the method for data synchronization and device of computer room | |
| CN104933051B (en) | File storage recovery method and device | |
| CN110389812B (en) | Method, apparatus, and computer-readable storage medium for managing virtual machines | |
| CN108280227A (en) | Data information processing method based on caching and device | |
| CN109033278A (en) | Data processing method, device, electronic equipment and computer storage medium | |
| CN106997431A (en) | A kind of data processing method and device | |
| CN108021333A (en) | The system of random read-write data, device and method | |
| CN103020196B (en) | The system of process database operations request | |
| CN108809704A (en) | Data deduplication statistical method based on dynamic time windows and device | |
| CN108833584A (en) | Information push method, terminal, server and computer storage medium | |
| CN105677645A (en) | Data sheet comparison method and device | |
| CN105389394A (en) | Data request processing method and device based on a plurality of database clusters | |
| KR20140111255A (en) | Method and system for data filing systems | |
| CN106528876B (en) | The information processing method and distributed information processing system of distributed system | |
| CN107992420A (en) | Put forward the management method and system of survey project | |
| CN104636135A (en) | Node access method and system, client side agent and client side | |
| CN110109867A (en) | Improve the method, apparatus and computer program product of on-line mode detection | |
| CN109033158A (en) | Data deduplication statistical method and device based on specified time window | |
| US9230011B1 (en) | Index-based querying of archived data sets | |
| CN107315693B (en) | Data storage method and device | |
| CN109857740A (en) | Storage method, matching process, electronic equipment and the readable storage medium storing program for executing of character string | |
| CN107679198A (en) | The querying method and device of information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |