CN109992597A - A kind of storage method and terminal of hot spot data - Google Patents
A kind of storage method and terminal of hot spot data Download PDFInfo
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Abstract
The invention discloses a kind of storage method of hot spot data and terminals, judge the data in the normal cache with the presence or absence of hot spot data by the requested access times of the data in statistics normal cache, if, then by the slow different nodes being saved in hotspot caching of the hot spot data, hot spot data can be found in time, it is different from the prior art that data are only stored in a node, hot spot data is stored in the different nodes in hotspot caching by the present invention, the balanced access of hot spot data is realized by the reassignment of hot spot data storage location, the access pressure of hot spot data can be reduced, it avoids largely accessing the case where same data lead to delay machine in the short time, performance bottleneck problem is effectively relieved, improve the efficiency of data access.
Description
Technical field
The present invention relates to Internet technical fields, more particularly, to the storage method and terminal of a kind of hot spot data.
Background technique
System is usually protected using caching, degradation and current limliting when developing high concurrent system, some of them scene uses
The pressure that system can be largely reduced after caching, improves the handling capacity of system interface.It is cached with two ways to realize, one
Kind is unique caching, such as redis cluster, memchche cluster cache of concentrating type etc., and relevant information is uniformly placed on cluster
In caching, go to read information in cluster cache by each project；Another kind is local cache, refers to negligible amounts, accounts for
Local is directly buffered in the less information of memory source.
Many systems all store a large amount of data cached information using single-point redis or cluster redis, still, no matter
It is that the cache set of multiple single-point redis composition or an independent cluster redis store data, all there may be heat
Point.Hot spot is exactly largely to be accessed in a short time data cached, and usual hot spot data is all just in the buffer a certain
At this moment node can bring very big pressure to CPU, IO and gateway bandwidth etc., lead to performance bottleneck.
Summary of the invention
The technical problems to be solved by the present invention are: providing the storage method and terminal of a kind of hot spot data, hot spot is realized
The balanced access of data, improves access efficiency.
In order to solve the above-mentioned technical problem, a kind of technical solution that the present invention uses are as follows:
A kind of storage method of hot spot data, comprising steps of
S1, statistics normal cache in data requested access times, judge institute according to the requested access times
The data in normal cache are stated with the presence or absence of hot spot data, if so, thening follow the steps S2；
S2, the hot spot data is delayed to the different nodes being saved in hotspot caching.
In order to solve the above-mentioned technical problem, the another technical solution that the present invention uses are as follows:
A kind of storage terminal of hot spot data, including memory, processor and storage are on a memory and can be at the place
The computer program run on reason device, the processor perform the steps of when executing the computer program
S1, statistics normal cache in data requested access times, judge institute according to the requested access times
The data in normal cache are stated with the presence or absence of hot spot data, if so, thening follow the steps S2；
S2, the hot spot data is delayed to the different nodes being saved in hotspot caching.
The beneficial effects of the present invention are: described in the requested access times judgement by the data in statistics normal cache
Data in normal cache whether there is hot spot data, be saved in hotspot caching not if so, the hot spot data is delayed
Same node can find hot spot data in time, be different from the prior art that data are only stored in a node, and the present invention will be hot
Point data is stored in the different nodes in hotspot caching, realizes the equal of hot spot data by the reassignment of hot spot data storage location
Weighing apparatus access, can reduce the access pressure of hot spot data, avoid largely accessing the case where same data lead to delay machine in the short time,
Performance bottleneck problem is effectively relieved, improves the efficiency of data access.
Detailed description of the invention
Fig. 1 is a kind of step flow chart of the storage method of hot spot data of the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of the storage terminal of hot spot data of the embodiment of the present invention；
Fig. 3 is a kind of each module relationship schematic diagram of the storage method of hot spot data of the embodiment of the present invention；
Label declaration:
1, the storage terminal of a kind of hot spot data；2, memory；3, processor.
Specific embodiment
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and cooperate attached
Figure is explained.
The most critical design of the present invention is: passing through described in the requested access times judgement of data in statistics normal cache
Data in normal cache whether there is hot spot data, be saved in hotspot caching not if so, the hot spot data is delayed
Same node.
Please refer to Fig. 1, a kind of storage method of hot spot data, comprising steps of
S1, statistics normal cache in data requested access times, judge institute according to the requested access times
The data in normal cache are stated with the presence or absence of hot spot data, if so, thening follow the steps S2；
S2, the hot spot data is delayed to the different nodes being saved in hotspot caching.
As can be seen from the above description, the beneficial effects of the present invention are: pass through the requested of the data in statistics normal cache
Access times judge the data in the normal cache with the presence or absence of hot spot data, if so, by the slow preservation of the hot spot data
Different nodes into hotspot caching, can find hot spot data in time, be different from and data are only stored in showing for a node
There is technology, hot spot data is stored in the different nodes in hotspot caching by the present invention, passes through dividing again for hot spot data storage location
With the balanced access for realizing hot spot data, the access pressure of hot spot data can be reduced, avoids largely accessing in the short time same
Data lead to the case where delay machine, and performance bottleneck problem is effectively relieved, and improve the efficiency of data access.
Further, the number in the normal cache is judged described in the step S1 according to the requested access times
According to the presence or absence of hot spot data specifically:
Judge whether the requested access times of the data in the normal cache within a preset time are greater than preset times,
If so, the data are hot spot data, if it is not, then the data are not hot spot data.
Seen from the above description, by judging the requested access within a preset time time of the data in the normal cache
Whether number is greater than preset times to determine whether the data are hot spot data, can accurately determine the data of hot spot, easy
Fast.
Further, the step S2 specifically:
The hot spot data is obtained, determines original caching key of the hot spot data in the normal cache；
The hot spot data is stored in the different nodes in the hotspot caching, and it is corresponding to generate each node respectively
Hotspot caching key；
Save the mapping relations of original caching key hotspot caching key corresponding from different nodes.
Seen from the above description, it by the way that the hot spot data determined is stored in the different nodes in hotspot caching, saves more
Part hot spot data, can pass through the reassignment of hot spot data storage location, and efficient balance accesses pressure；By saving original caching
The mapping relations of key hotspot caching key corresponding from different nodes, can quickly find corresponding hot spot number in hotspot caching
According in the case where not changing available data request format, the access of realization hot spot data, improves access efficiency and convenience.
Further, the step S2 further include:
Expired time of the hot spot data in the hotspot caching is set；
The expired time is consistent in the expired time of normal cache with the hot spot data.
Seen from the above description, by setting and the consistent expired time of normal cache, legacy data can not influenced
In the case where relevant information, stale data is cleared up in time, avoids resource occupation.
Further, after the step S2 further include:
Request of data is received, the request of data includes original caching key of data；
Judge whether the data are hot spot data, if so, corresponding according to original caching key of preservation and different nodes
Hotspot caching key mapping relations, randomly choose a hotspot caching key, corresponding node obtains number from hotspot caching
According to；
If it is not, then obtain data from normal cache according to original caching key of the data, and by the quilt of the data
It requests access to number and adds one.
Seen from the above description, the access for distinguishing hot spot data and non-thermal point data, according to judging whether data are hot spot
Data determine the caching of corresponding access, and access pressure can be effectively reduced, being requested for data when accessing normal cache
Access times add one, whether are converted into hot spot data convenient for data described in timely Statistic analysis；When accessing hot spot data, pass through original
There are the mapping relations of caching key and hotspot caching key, randomly selects the hot spot number that a hotspot caching key obtains corresponding node
According to, can with efficient balance access pressure.
Referring to figure 2., the storage terminal of a kind of hot spot data, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on the processor, the processor perform the steps of when executing the computer program
S1, statistics normal cache in data requested access times, judge institute according to the requested access times
The data in normal cache are stated with the presence or absence of hot spot data, if so, thening follow the steps S2；
S2, the hot spot data is delayed to the different nodes being saved in hotspot caching.
As can be seen from the above description, the beneficial effects of the present invention are: pass through the requested of the data in statistics normal cache
Access times judge the data in the normal cache with the presence or absence of hot spot data, if so, by the slow preservation of the hot spot data
Different nodes into hotspot caching, can find hot spot data in time, be different from and data are only stored in showing for a node
There is technology, hot spot data is stored in the different nodes in hotspot caching by the present invention, passes through dividing again for hot spot data storage location
With the balanced access for realizing hot spot data, the access pressure of hot spot data can be reduced, avoids largely accessing in the short time same
Data lead to the case where delay machine, and performance bottleneck problem is effectively relieved, and improve the efficiency of data access.
Further, the number in the normal cache is judged described in the step S1 according to the requested access times
According to the presence or absence of hot spot data specifically:
Judge whether the requested access times of the data in the normal cache within a preset time are greater than preset times,
If so, the data are hot spot data, if it is not, then the data are not hot spot data.
Seen from the above description, by judging the requested access within a preset time time of the data in the normal cache
Whether number is greater than preset times to determine whether the data are hot spot data, can accurately determine the data of hot spot, easy
Fast.
Further, the step S2 specifically:
The hot spot data is obtained, determines original caching key of the hot spot data in the normal cache；
The hot spot data is stored in the different nodes in the hotspot caching, and it is corresponding to generate each node respectively
Hotspot caching key；
Save the mapping relations of original caching key hotspot caching key corresponding from different nodes.
Seen from the above description, it by the way that the hot spot data determined is stored in the different nodes in hotspot caching, saves more
Part hot spot data, can pass through the reassignment of hot spot data storage location, and efficient balance accesses pressure；By saving original caching
The mapping relations of key hotspot caching key corresponding from different nodes, can quickly find corresponding hot spot number in hotspot caching
According in the case where not changing available data request format, the access of realization hot spot data, improves access efficiency and convenience.
Further, the step S2 further include:
Expired time of the hot spot data in the hotspot caching is set；
The expired time is consistent in the expired time of normal cache with the hot spot data.
Seen from the above description, by setting and the consistent expired time of normal cache, legacy data can not influenced
In the case where relevant information, stale data is cleared up in time, avoids resource occupation.
Further, after the step S2 further include:
Request of data is received, the request of data includes original caching key of data；
Judge whether the data are hot spot data, if so, corresponding according to original caching key of preservation and different nodes
Hotspot caching key mapping relations, randomly choose a hotspot caching key, corresponding node obtains number from hotspot caching
According to；
If it is not, then obtain data from normal cache according to original caching key of the data, and by the quilt of the data
It requests access to number and adds one.
Seen from the above description, the access for distinguishing hot spot data and non-thermal point data, according to judging whether data are hot spot
Data determine the caching of corresponding access, and access pressure can be effectively reduced, being requested for data when accessing normal cache
Access times add one, whether are converted into hot spot data convenient for data described in timely Statistic analysis；When accessing hot spot data, pass through original
There are the mapping relations of caching key and hotspot caching key, randomly selects the hot spot number that a hotspot caching key obtains corresponding node
According to, can with efficient balance access pressure.
Embodiment one
Please refer to Fig. 1 and Fig. 3, a kind of storage method of hot spot data, comprising steps of
S1, statistics normal cache in data requested access times, judge institute according to the requested access times
The data in normal cache are stated with the presence or absence of hot spot data, if so, thening follow the steps S2；
Wherein, the normal cache is that common redis cluster or common single-point redis gather；
Specifically, the requested visit of the data in the normal cache within a preset time is judged by hot spot computing module
Ask whether number is greater than preset times, if so, the data are hot spot data, if it is not, then the data are not hot spot data；
Preferably, the preset time is 1 minute, and the preset times are 100,000 times；
For example, the number that requests access to of some organization id occurs 100,000 times within 1 minute in the same interface, then sentence
Data needed for the fixed request of data are hot spot data.
Judge data whether be hot spot data rule can also according to specific business sets itself, for example, continue
The number that requests access to of some data reaches preset times in time, i.e., the number that requests access in first minute reaches default
Number, requesting access to number and also to reach preset times in second minute, and so on, requesting access in n-th minute
Number also reaches preset times, just assert that the data are hot spot data；
S2, the hot spot data is delayed to the different nodes being saved in hotspot caching.
Wherein, the hotspot caching is that hot spot redis cluster or hot spot single-point redis gather；
Specifically, the clearly described data of hot spot computing module be hot spot data after, it is asynchronous from normal cache obtain described in
Hot spot data determines original caching key of the hot spot data in the normal cache；
The hot spot data is stored in the different nodes in the hotspot caching, and it is corresponding to generate each node respectively
Hotspot caching key；
Save the mapping relations of original caching key hotspot caching key corresponding from different nodes；
Preferably, the different nodes are 3 different nodes；
The hot spot data is obtained from normal cache for example, asynchronous, and the corresponding original caching key of the hot spot data is
cache_A；
The hot spot data is saved in three nodes in the hotspot caching, three nodes respectively correspond generation
Tri- hotspot caching key of hot_cache_A, hot_cache_B and hot_cache_C, can only be protected to avoid by hot spot data
There are the case where new hot spot occur when a node；
Wherein, the hotspot caching key for needing to generate can be properly mapped to new node, to guarantee for hot spot data to be averaged
Ground is saved on the different nodes of hotspot caching, such as the default of this A prefix of hot_cache_A_key corresponds to hotspot caching
First node, corresponding second node of the default of B prefix, and so on；
Save original caching key and hot_cache_A, tri- hotspot cachings of hot_cache_B, hot_cache_C
The mapping relations of key are to local memory；
The specific data structure of the mapping relations is map (String, List), can basis by the mapping relations
Cache A inquires tri- hotspot caching key of corresponding hot_cache_A, hot_cache_B and hot_cache_C；
The switch sign that hotspot caching access is opened in local memory is set；
Preferably, the switch sign is Boolean type parameter, and by 1 or 0, true or false indicate whether to open heat
Point cache access facilitates the unlatching of control hotspot caching access.
Embodiment two
The present embodiment and the difference of embodiment one are further include:
In specific request of data, the request of data of interface client, the request of data includes the original of data
There is caching key；
Specifically, client request interface, by the data in interface polls local memory；
When the switch sign indicates to close hotspot caching access, interface directly accesses normal cache and obtains data；
When the switch sign indicates to open hotspot caching access, interface judges whether the data need to inquire hot spot
Caching, that is, judge whether the data are hot spot data；
If so, according to the mapping relations of original caching key hotspot caching key corresponding from different nodes of preservation, root
It is randomly choosed to a hotspot caching key, according to the hotspot caching key chosen from hotspot caching according to certain random algorithm
Corresponding node obtains data；
If it is not, then interface obtains data according to original caching key of the data from normal cache and returns to client,
A piece of news is sent to hot spot computing module, the message includes specific identifier, is being received by hot spot computing module containing spy
The requested access times of the data are added one when calibrating the message known；
Preferably, hot spot computing module also judges the interface common after receiving the message containing specific identifier
Whether the data of caching query are hot spot data, if so, above-mentioned similar operation is carried out, it is different according to original caching key
Step obtains corresponding hot spot data from normal cache, by the slow different nodes being saved in hotspot caching of the hot spot data；
For example, the original caching key for the data for including in request of data is cache A, judging the interface common
The data of caching query, will be described to obtain hot spot data from normal cache according to the cache A is asynchronous after hot spot data
The slow different nodes being saved in hotspot caching of hot spot data, save cache A hotspot caching key's corresponding from different nodes
Mapping relations；
Wherein, the interface is hot spot interface, it is possible to the interface of hot spot data occurs, at the hot spot interface
Reason, make its to the request of data received carry out the data whether be hot spot data judgement；
The hot spot interface is preset after being judged by business side, for example, the corresponding biggish interface of portfolio is set as
Hot spot interface, or the interface that amount of access reaches preset value is set as hot spot interface, specifically, deposit according to organization id
Chu Shi, each organization id are corresponding with an interface, and the personnel of certain organization ids are more to cause access interface frequent, is easy to appear heat
Point, the lower personnel of some tissues cause access interface less less, are less prone to hot spot, at this moment, the organization id more than personnel is corresponding
Interface setting be hot spot interface, make its to the request of data received carry out the data whether be hot spot data judgement；
When carrying out buffer memory according to different organization ids in same interface, then reach pre- for amount of access in the interface
If the request of data of the organization id of value carry out the data whether be hot spot data judgement.
Embodiment three
The present embodiment and the difference of embodiment one or embodiment two are further include:
When the hot spot data will be obtained from normal cache, it is expired in normal cache to obtain the hot spot data
Time；
In the different nodes hot spot data being stored in the hotspot caching, the hot spot data is set in institute
State the expired time in hotspot caching；
Wherein, the expired time by the hot spot data in the hotspot caching and the hot spot data are in normal cache
Expired time it is consistent.
Preferably, when the quantity of hot spot data is lower than default value, its expired time in hotspot caching is only set,
It is automatically deleted when hot spot data expires；When the quantity of hot spot data reaches default value, then in setting expired time
While, it can also be preset earlier according to the hot spot data in certain regulation management hotspot caching for example, deleting expired time
The hot spot data of number, or each hot spot data of real time monitoring request access to number, will request access to number lower than specified value
Hot spot data leave out from hotspot caching, the reality of hot spot data can be improved with the hot spot data in real-time update hotspot caching
Shi Xing.
Example IV
Referring to figure 2., the storage terminal 1 of a kind of hot spot data, including memory 2, processor three and it is stored in memory 2
Computer program that is upper and can running on the processor three, the processor three are realized real when executing the computer program
Apply each step in example one.
Embodiment five
Referring to figure 2., the storage terminal 1 of a kind of hot spot data, including memory 2, processor three and it is stored in memory 2
Computer program that is upper and can running on the processor three, the processor three are realized real when executing the computer program
Apply each step in example two.
Embodiment six
Referring to figure 2., the storage terminal 1 of a kind of hot spot data, including memory 2, processor three and it is stored in memory 2
Computer program that is upper and can running on the processor three, the processor three are realized real when executing the computer program
Apply each step in example three.
In conclusion the storage method and terminal of a kind of hot spot data provided by the invention, by statistics normal cache
The requested access times of data judge the data in the normal cache with the presence or absence of hot spot data, if the normal cache
In data requested access times within a preset time be greater than preset times, then determine that the data, will for hot spot data
The slow different nodes being saved in hotspot caching of the hot spot data, save original of the hot spot data in the normal cache
There are the mapping relations of caching key hotspot caching key corresponding from different nodes, can find hot spot data in time, it is simple and efficient；
It is different from the prior art that data are only stored in a node, hot spot data is stored in the difference in hotspot caching by the present invention
Node realizes that the balanced of hot spot data accesses by the reassignment of hot spot data storage location, can reduce the visit of hot spot data
It asks pressure, avoids largely accessing the case where same data lead to delay machine in the short time, performance bottleneck problem is effectively relieved；It can be fast
Speed finds corresponding hot spot data in hotspot caching, realizes hot spot data in the case where not changing available data request format
Access, improve the efficiency of data access.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, similarly include
In scope of patent protection of the invention.
Claims (10)
1. a kind of storage method of hot spot data, which is characterized in that comprising steps of
S1, statistics normal cache in data requested access times, judged according to the requested access times described general
Data in logical caching whether there is hot spot data, if so, thening follow the steps S2；
S2, the hot spot data is delayed to the different nodes being saved in hotspot caching.
2. a kind of storage method of hot spot data according to claim 1, which is characterized in that root described in the step S1
Judge the data in the normal cache with the presence or absence of hot spot data according to the requested access times specifically:
Judge whether the requested access times of the data in the normal cache within a preset time are greater than preset times, if
It is that then the data are hot spot data, if it is not, then the data are not hot spot data.
3. a kind of storage method of hot spot data according to claim 1 or 2, which is characterized in that the step S2 is specific
Are as follows:
The hot spot data is obtained, determines original caching key of the hot spot data in the normal cache；
The hot spot data is stored in the different nodes in the hotspot caching, and generates the corresponding hot spot of each node respectively
Cache key；
Save the mapping relations of original caching key hotspot caching key corresponding from different nodes.
4. a kind of storage method of hot spot data according to claim 3, which is characterized in that the step S2 further include:
Expired time of the hot spot data in the hotspot caching is set；
The expired time is consistent in the expired time of normal cache with the hot spot data.
5. a kind of storage method of hot spot data according to claim 3, which is characterized in that also wrapped after the step S2
It includes:
Request of data is received, the request of data includes original caching key of data；
Judge whether the data are hot spot data, if so, according to original caching key heat corresponding from different nodes of preservation
The mapping relations of point cache key randomly choose a hotspot caching key, and corresponding node obtains data from hotspot caching；
If it is not, then obtaining data, and being requested the data from normal cache according to original caching key of the data
Access times add one.
6. a kind of storage terminal of hot spot data, including memory, processor and storage are on a memory and can be in the processing
The computer program run on device, which is characterized in that the processor performs the steps of when executing the computer program
S1, statistics normal cache in data requested access times, judged according to the requested access times described general
Data in logical caching whether there is hot spot data, if so, thening follow the steps S2；
S2, the hot spot data is delayed to the different nodes being saved in hotspot caching.
7. a kind of storage terminal of hot spot data according to claim 6, which is characterized in that root described in the step S1
Judge the data in the normal cache with the presence or absence of hot spot data according to the requested access times specifically:
Judge whether the requested access times of the data in the normal cache within a preset time are greater than preset times, if
It is that then the data are hot spot data, if it is not, then the data are not hot spot data.
8. a kind of storage terminal of hot spot data according to claim 6 or 7, which is characterized in that the step S2 is specific
Are as follows:
The hot spot data is obtained, determines original caching key of the hot spot data in the normal cache；
The hot spot data is stored in the different nodes in the hotspot caching, and generates the corresponding hot spot of each node respectively
Cache key；
Save the mapping relations of original caching key hotspot caching key corresponding from different nodes.
9. a kind of storage terminal of hot spot data according to claim 8, which is characterized in that the step S2 further include:
Expired time of the hot spot data in the hotspot caching is set；
The expired time is consistent in the expired time of normal cache with the hot spot data.
10. a kind of storage terminal of hot spot data according to claim 8, which is characterized in that after the step S2 also
Include:
Request of data is received, the request of data includes original caching key of data；
Judge whether the data are hot spot data, if so, according to original caching key heat corresponding from different nodes of preservation
The mapping relations of point cache key randomly choose a hotspot caching key, and corresponding node obtains data from hotspot caching；
If it is not, then obtaining data, and being requested the data from normal cache according to original caching key of the data
Access times add one.
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| CN111190655A (en) * | 2019-12-30 | 2020-05-22 | 中国银行股份有限公司 | Processing method, device, equipment and system for application cache data |
| CN111464629A (en) * | 2020-03-31 | 2020-07-28 | 中国建设银行股份有限公司 | Hot spot data determination method and device |
| CN111522879A (en) * | 2020-04-16 | 2020-08-11 | 北京雷石天地电子技术有限公司 | Data distribution method based on cache and electronic equipment |
| CN111597477A (en) * | 2020-04-02 | 2020-08-28 | 卓望数码技术（深圳）有限公司 | Cache cluster optimization method, equipment and storage medium |
| WO2022016861A1 (en) * | 2020-07-24 | 2022-01-27 | 浪潮电子信息产业股份有限公司 | Hotspot data caching method and system, and related device |
| CN115996227A (en) * | 2022-12-23 | 2023-04-21 | 中国联合网络通信集团有限公司 | Data sharing method, device, system, server and storage medium |
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