CN107580060A - Banked cache method is divided in a kind of mobile terminal - Google Patents
Banked cache method is divided in a kind of mobile terminal Download PDFInfo
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Abstract
Divide banked cache method the present invention relates to a kind of mobile terminal, this method is divided into central library and multiple caching storehouses in the user data storage that mobile phone is applied.Cache storehouse and user account corresponds, each user account is stored in the central library with caching the corresponding relation in storehouse, when user uses the application under login account, caused various user data are all stored in the caching storehouse corresponding to the login account, so as to which that realizes user data divides banked cache, this method, which facilitates, to be handled the caching of unique user, also substantially increases the operational efficiency of application.
Description
【Technical field】
The invention belongs to mobile terminal and field of information processing, more particularly to a kind of mobile terminal to divide banked cache method.
【Background technology】
In the last few years, with the development of mobile Internet, smart mobile phone has become essential in people's life set
Standby, various mobile phone applications (APP) also just turn into the most-often used application program of people.In the prior art, most mobile phones are using all
People are needed to be logged in using the account of oneself, caused various user data are stored in the number of users of mobile phone application after login
According in storehouse.But mobile phone application might have different accounts and log in, a kind of situation is that same user possesses multiple accounts,
Same mobile phone application is logged in using different accounts, another situation is that mobile phone may be by different when, under different situations
Different users is used, and different users is logged in using different accounts.In the case of this more accounts, the use of different accounts
User data is all stored in same customer data base, is likely to result in user data and is mutually gone here and there, and data may also be caused to look into addition
It is low to ask efficiency.
【The content of the invention】
In order to solve above mentioned problem of the prior art, the present invention proposes a kind of mobile terminal and divides banked cache method.
The technical solution adopted by the present invention is as follows:
Banked cache method is divided in a kind of mobile terminal, comprises the following steps:
When application starts first, it creates a central library, and the central library is used to preserve user account and its caching
The corresponding relation in storehouse;
When user logs in the application using an account, this is applied inquires about whether the account has in the central library
Corresponding caching storehouse, if it is not, for the account create corresponding to caching storehouse, and record in the central library account and
The corresponding relation in the caching storehouse;
When user uses the application under the account, caused various user data are stored in corresponding to the account
Caching storehouse in.
Further, by this apply in the user that is likely to occur classified, be divided into secure data and the class of public data two,
The secure data is the user data of need for confidentiality, and remaining user data belongs to public data.
Further, the secure data includes userspersonal information, personal settings, private data.
Further, stored after the secure data is encrypted.
Further, public data is divided into n+1 rank, i.e., will be per a public data from the 0th grade to n-th grade
A rank is all assigned, each rank has a corresponding conversation strategy, defining number of levels and guarantor at different levels
After depositing strategy, the application manages thread by data staging and carries out differentiated control to public data, and specific method includes:
When a new public data of generation, its acquiescence is divided into the 0th grade, every a period of time T, if this
Public data is not visited within the time cycle, and its current level is less than n, then the rank of the disclosure data rises
One-level, wherein T are a predefined time thresholds;
If the disclosure data are accessed within the time cycle, the rank of the disclosure data is reduced, if the disclosure
The current rank of data is m, and the time gap that its last time the reduces rank current time is t, when its last time reduces rank
It is lowered by K0Individual rank, if the disclosure data were not lowered rank also, when t is set equal to the generation of the disclosure data
Between distance current time and K0=0;Thus the rank K that this needs of calculating the disclosure data reduce, i.e.,
If (m-K) >=0, the rank for setting the disclosure data is m-K, and the rank for otherwise setting the disclosure data is 0.
Further, using number of levels and conversation strategy at different levels can be obtained from remote server by network.
Further, it is characterised in that n=9.
Further, the 0th grade of data are without any processing, only preserve initial data.
Further, n-th grade of data are deleted after expired, and expired time is defined by n-th grade of conversation strategy.
Further, the 1st grade to (n-1)th grade of Data Preservation Policy is:It is compressed using different compression algorithms, or
It is compressed using the different compression levels of same compression algorithm.
Beneficial effects of the present invention include:1) realize and data buffer storage is carried out in units of user, by user service data
It is completely separated, avoids user data and mutually go here and there, while is also convenient for being handled for the data cached of unique user;2) for single
Individual user caches to handle, and substantially increases operational efficiency, improves Consumer's Experience.
【Brief description of the drawings】
Accompanying drawing described herein be for providing a further understanding of the present invention, forming the part of the application, but
Inappropriate limitation of the present invention is not formed, in the accompanying drawings:
Fig. 1 be the present invention divide banked cache figure.
【Embodiment】
The present invention is described in detail below in conjunction with accompanying drawing and specific embodiment, illustrative examples therein and is said
It is bright to be only used for explaining the present invention but not as a limitation of the invention.
Referring to accompanying drawing 1, it illustrates the specific embodiment that mobile phone application of the present invention divides banked cache basic framework.This hair
The bright user data in mobile phone application stores, and is divided into central library and multiple caching storehouses.Cache storehouse and user account correspond,
Three user accounts are shown in Fig. 1 altogether:Account A, account B and account C.Account A corresponds to caching A storehouses, and account A's is all
User data is all stored in caching A storehouses, and account B corresponds to caching B storehouses, and account B all customer data is all stored in slow
Deposit in B storehouses, account C corresponds to caching C storehouses, and account C all customer data is all stored in caching C storehouses.The central library
In store each user account with cache storehouse corresponding relation, therefore application main program can by inquire about central library obtain pair
The caching storehouse of account is answered, so as to which that realizes different user data divides banked cache.
Based on above-mentioned framework, illustrate that the present invention divides the basic step of banked cache method below:
When starting first using (APP), it creates a central library, and the central library is used to preserve user account and its
Cache the corresponding relation in storehouse.
When user logs in the application using an account, this is applied inquires about whether the login account has in central library
Corresponding caching storehouse, if it is not, for the account create corresponding to caching storehouse, and record in the central library account and
The corresponding relation in the caching storehouse.
When user uses the application under login account, caused various user data are stored in the login account
In corresponding caching storehouse, so as to which that realizes user data divides banked cache, this design facilitates to be entered to the caching of unique user
Row processing, simultaneously because unique user processing caching can be directed to, also substantially increase the operational efficiency of application.
Above-mentioned steps are that the present invention divides the basic step of banked cache, however, it is possible to infer, because different user uses
Different caching storehouses, caused result are that identical data will repeat to be stored in different caching storehouses.For example, account A and
Account B has browsed identical webpage, then the web cache will be stored in caching A storehouses and caching B storehouses simultaneously.So as to
There is huge memory data output using lower in this, expends a large amount of memory spaces.
In order in the case where keeping advantage of the present invention, control data amount of storage.The present invention is when designing application, it would be possible to
The user data of appearance is classified, and user data is divided into secure data and the class of public data two, the secure data first
It is that user needs safe and secret data, including userspersonal information, personal settings, private data etc.;In addition to secure data,
Remaining user data belongs to public data.
The present invention is preserved after secure data is encrypted, and different processing modes is then carried out to public data to reduce number
According to amount of storage, a kind of typical mode is data compression, but the data after compressing also need to decompress when accessing, and this can lead
Causing the efficiency of data access reduces.Therefore, the present invention considers the conventional property of every part of public data, and the conventional property refers to portion
Whether data are often accessed.Generally for upper, if a data are often accessed (i.e. conventional property is high), this part of data are just
It can be not compressed, if a data are infrequently accessed (i.e. conventional property is low), can be compressed.Even in fact,
Compression, also there is different compression algorithms or a compression level, and the size of the compression result of different compression algorithms or compression level is not
Together, the efficiency of decompression is also different, and this can all have an impact to data access efficiency.Above-mentioned a data can be caching storehouse
In a cache file, such as an image file or caching storehouse in a data record.
Therefore, in order to adapt to different situations, public data is classified by the present invention from high to low according to its property commonly used, from the
0 grade to n-th grade, common n+1 rank.0th grade of conventional property highest, n-th grade is then reduced to successively, n is one predefined
Quantity, under preferable case, n=9, i.e. totally 10 ranks.
A rank will be all assigned per a public data, each rank has a corresponding conversation strategy.0th grade
Data often with property highest, that is, most frequently need the data accessed, therefore the 0th grade of data are without any processing, only protect
Deposit initial data.N-th grade of data are often minimum with property, can be considered as a kind of ephemeral data, can be deleted after expired (specific
Expired time is defined by its conversation strategy).1st grade can also define different conversation strategies to (n-1)th grade, such as use difference
Compression algorithm, or different compression levels of same compression algorithm, the present invention do not limited specific conversation strategy, this
Art personnel can use the conversation strategy of its needs according to real needs.
Furthermore, it should be pointed out that although above-mentioned number of levels and conversation strategy can be previously set when designing and applying,
Using by network new number of levels and conversation strategy at different levels can also be downloaded from remote server, so as to realize
Self-renewing and upgrading.
After number of levels and conversation strategy at different levels is defined, it is necessary to which every a public data to generation is carried out
Classification.Using upon actuation, just start a data differentiated control thread, differentiated control is carried out to public data, its is specific
Grading management method is as follows:
When the new public data of generation portion, its acquiescence is divided into the 0th grade, and every a period of time T, (T is one
Predefined time threshold), if the disclosure data are not visited within the time cycle, and its current level is less than
N, then the disclosure data rank going up one level.
If the disclosure data are accessed within the time cycle, need to reduce the rank of the disclosure data, specifically
, if the current rank of the disclosure data is m, time gap that its last time the reduces rank current time be t, its last time
K is lowered by when reducing rank0Individual rank, if the disclosure data were not lowered rank also, t is set to be equal to the disclosure
Data generation time gap current time and K0=0;Thus the rank K that this needs of calculating the disclosure data reduce, i.e.,
If (m-K) >=0, the rank for setting the disclosure data is m-K, and the rank for otherwise setting the disclosure data is 0.
Described above is only the better embodiment of the present invention, therefore all constructions according to described in present patent application scope,
The equivalent change or modification that feature and principle are done, is included in the range of present patent application.
Claims (10)
1. banked cache method is divided in a kind of mobile terminal, it is characterised in that comprises the following steps:
When application starts first, it creates a central library, and the central library is used to preserve user account and it caches storehouse
Corresponding relation;
When user logs in the application using an account, this is applied inquires about whether the account has corresponded in the central library
Caching storehouse, if it is not, for the account create corresponding to caching storehouse, and record in the central library account and this is slow
The corresponding relation of warehousing;
When user uses the application under the account, caused various user data are stored in slow corresponding to the account
In warehousing.
2. according to the method for claim 1, it is characterised in that the user being likely to occur during this is applied is classified, point
For secure data and the class of public data two, the secure data is the user data of need for confidentiality, and remaining user data all belongs to
In public data.
3. according to the method for claim 2, it is characterised in that the secure data includes userspersonal information, individual sets
Put, private data.
4. according to the method described in claim 2-3 any one, it is characterised in that deposited after the secure data is encrypted
Storage.
5. according to the method described in claim 2-4 any one, it is characterised in that public data is divided into n+1 rank,
I.e. from the 0th grade to n-th grade, a rank will be all assigned per a public data, each rank has a corresponding preservation
Strategy, after number of levels and conversation strategy at different levels is defined, the application manages thread to open by data staging
Data carry out differentiated control, and specific method includes:
When a new public data of generation, its acquiescence is divided into the 0th grade, every a period of time T, if the disclosure
Data are not visited within the time cycle, and its current level is less than n, then the rank of the disclosure data rises one
Level, wherein T is a predefined time threshold;
If the disclosure data are accessed within the time cycle, the rank of the disclosure data is reduced, if the disclosure data
Current rank is m, and the time gap that its last time the reduces rank current time is t, and its last time is dropped when reducing rank
Low K0Individual rank, if the disclosure data were not lowered rank also, t is set to be equal to the disclosure data generation time interval
From current time and K0=0;Thus the rank K that this needs of calculating the disclosure data reduce, i.e.,
If (m-K) >=0, the rank for setting the disclosure data is m-K, and the rank for otherwise setting the disclosure data is 0.
6. according to the method for claim 5, it is characterised in that application can obtain rank by network from remote server
Quantity and conversation strategy at different levels.
7. according to the method described in claim 5-6 any one, it is characterised in that n=9.
8. according to the method described in claim 5-7 any one, it is characterised in that the 0th grade of data are without any processing, only
Preserve initial data.
9. according to the method described in claim 5-8 any one, it is characterised in that n-th grade of data are deleted after expired, mistake
Time phase is defined by n-th grade of conversation strategy.
10. according to the method described in claim 5-9 any one, it is characterised in that the 1st grade to (n-1)th grade of data preserve
Strategy is:It is compressed using different compression algorithms, or is compressed using the different compression levels of same compression algorithm.
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