CN109710639A - A kind of search method based on pair buffers, device and storage medium - Google Patents
A kind of search method based on pair buffers, device and storage medium Download PDFInfo
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Abstract
The present invention provides a kind of search method based on pair buffers, device and storage mediums, this method comprises: level cache searching step, it is inquired in first order caching according to inquiry request, if hiting data, then return to the hiting data, if miss data carries out L2 cache retrieval；L2 cache searching step is inquired in the caching of the second level according to inquiry request, if hiting data, returns to the hiting data and the hiting data is written to first order caching, if miss data, carry out database retrieval；Database searching steps are inquired according to inquiry request in the database, if hiting data, return to the hiting data and the hiting data is written to first order caching and second level caching.The present invention uses redis as L2 cache, prevents from eliminating using the caching of the level-one of ehcache, request is caused to be directed through database, also can guarantee the caching snowslide that will not be generated because of server resets, improve user experience.
Description
Technical field
The present invention relates to database processing technical field, especially a kind of search method based on pair buffers, device
And storage medium.
Background technique
With the popularity of the internet, content information becomes increasingly complex, and number of users and amount of access are increasing, our application
It needs to support more concurrency, while the calculating that our application server and database server are done is also more and more.
But our server resource is limited, and technological change is slowly database receptible request number of times per second
It is limited.How handling capacity as big as possible is provided using limited resource, one of them effective method is exactly to introduce to delay
It deposits, it is each to calculate, inquire and directly hit and return from caching, to reduce calculation amount, response speed is effectively promoted,
Allow the more people of limited resource service.
In the prior art, there are many classification of caching, and there is the difference of different medium.In current application cache framework
In, relatively common is divided into local cache (local cache) and remote cache (distributed caching).
The shortcomings that local cache is also to couple with application program, multiple application programs can not direct shared drive, it is each to apply
The independent caching that oneself will be safeguarded with clustered node, to memory and a kind of waste.
The defect of distributed caching is: web application at present, and mass data is buffered in local cache (memory)
In, cause to start slow (start-up loading caching), EMS memory occupation height, and multiple server resets be easy to cause caching snowslide, cause big
Amount request is directed through database.
Caching snowslide refer to: due to original cache invalidation, newly cache not yet due (such as: setting caching when use phase
With expired time, it is expired in the caching that large area occurs in synchronization), all scripts should the request of access cache all go to look into
Database is ask, and is exerted heavy pressures on to database CPU and memory, it is serious to will cause database delay machine, to form one
Serial chain reaction, causes whole system to collapse.
Summary of the invention
The present invention is directed to above-mentioned defect in the prior art, proposes following technical solution.
A kind of search method based on pair buffers, this method comprises:
Level cache searching step is inquired according to inquiry request in first order caching, if hiting data, is returned
It returns the hiting data and carries out L2 cache retrieval if miss data；
L2 cache searching step is inquired according to inquiry request in the caching of the second level, if hiting data, is returned
It returns the hiting data and the hiting data is written to first order caching, if miss data, carry out database retrieval；
Database searching steps are inquired according to inquiry request in the database, if hiting data, return to the life
The hiting data is simultaneously written to first order caching and second level caching by middle data.
Further, the database is Mysql database, SQL server database, oracle database, DB2
Database or sybase database.
Further, the method also includes receiving steps, receive the inquiry request of user's input；Wherein, step is received
Suddenly it is executed before level cache searching step.
Further, the method also includes database update steps, the modification request pair based on user to database
Database is updated operation.
Further, it is described to database be updated operation include: according to the modification request starting one data
Affairs are modified in library, are then carried out parsing to the modification request and are obtained the phase for needing the data object modified to modify database
Position is answered, then removes second level caching and first order caching, terminates the database update affairs, and return the result.
Further, the first order caching is that ehcache is cached, and the second level caching is redis.
The invention also provides a kind of retrieval device based on pair buffers, the device include:
Level cache retrieval unit, for being inquired in the first order caches according to inquiry request, if hiting data,
The hiting data is then returned, if miss data, carries out L2 cache retrieval；
L2 cache retrieval unit, for being inquired in the second level caches according to inquiry request, if hiting data,
It then returns to the hiting data and the hiting data is written to first order caching, if miss data, carry out database inspection
Rope；
Database retrieval unit, if hiting data, is returned for being inquired in the database according to inquiry request
The hiting data is simultaneously written to first order caching and second level caching by the hiting data.
Further, the database is Mysql database, SQL server database, oracle database, DB2
Database or sybase database.
Further, described device further include: receiving unit receives the inquiry request of user's input；Wherein, it receives single
The operation of member executes before the operation of level cache retrieval unit.
Further, described device further include: database update unit, for being asked based on user to the modification of database
It asks and operation is updated to database.
Further, it is described to database be updated operation include: according to the modification request starting one data
Affairs are modified in library, are then carried out parsing to the modification request and are obtained the phase for needing the data object modified to modify database
Position is answered, then removes second level caching and first order caching, terminates the database update affairs, and return the result.
Further, the first order caching is that ehcache is cached, and the second level caching is redis.
The invention also provides a kind of computer readable storage medium, computer program generation is stored on the storage medium
Code, above-mentioned any method is executed when the computer program code is computer-executed.
Technical effect of the invention are as follows: the present invention is by being provided with first order caching, second level caching, so that in database
The retrieval that level cache is first carried out when retrieval, as target miss carries out the retrieval of L2 cache again, and use ehcache as
Level cache stores frequently-used data, both can guarantee the high efficiency of caching or can be reduced the network communication of remote cache, uses
Redis prevents the caching of ehcache from eliminating, causes request to be directed through database, also can guarantee will not as L2 cache
Because server resets (utilizing AOF or RDB) caching snowslide, causes largely to request to be directed through database, improves user's body
It tests.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon.
Fig. 1 is a kind of flow chart of search method based on pair buffers of embodiment according to the present invention.
Fig. 2 is a kind of structure chart of retrieval device based on pair buffers of embodiment according to the present invention.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows a kind of search method based on pair buffers of the invention, this method comprises:
Level cache searching step S101 is inquired in first order caching according to inquiry request, if hiting data,
The hiting data is then returned, if miss data, carries out L2 cache retrieval.
L2 cache searching step S102 is inquired in the caching of the second level according to inquiry request, if hiting data,
It then returns to the hiting data and the hiting data is written to first order caching, if miss data, carry out database inspection
Rope.
Database searching steps S103, is inquired according to inquiry request in the database, if hiting data, is returned
The hiting data is simultaneously written to first order caching and second level caching by the hiting data.
In one embodiment, method of the invention is adapted to the database of mainstream, such as: Mysql database, SQL
Server database, oracle database, DB2 database or sybase database.
In one embodiment, method of the invention further include: receiving step S100, the inquiry for receiving user's input are asked
It asks；Wherein, receiving step executes before level cache searching step.For example the inquiry of user's input can be received by interface
Request, user can request by keyboard input inquiry, can also replicate an inquiry request, or use a file as
Inquiry request, such as picture, inquiry request include the content for needing to inquire, such as keyword.
In one embodiment, the first order caching is that ehcache is cached, and the second level caching is redis.
Ehcache is a kind of widely used open source Java distributed caching.It is mainly directed towards general caching, Java EE and lightweight hold
Device.It has memory and disk storage, caches loader, and caching extension caches exception handler, a gzip caching
The features such as servlet filter, support REST and SOAP api.It is mainly characterized in that: quick, simple, a variety of cache policies, delays
Deposit data has two-stage: memory and disk, and there is no need to worry capacity problem, data cached can write during virtual machine is restarted
Enter disk, distributed caching can be carried out by modes such as RMI, pluggable API, be connect with caching and listening to for cache manager
Mouth, provides the caching realization of Hibernate at the multiple buffer zones for supporting more cache manager examples and an example.
Redis is a key-value storage system.Similar with Memcached, it supports the value type phase of storage
To more, including string (character string), list (chained list), set (set) and zset (ordered set).These data types are all
It supports push/pop, add/remove and takes intersection union and difference set and richer operation, and these operations are all atoms
Property.On this basis, redis supports the sequence of various different modes.As memcached, for guaranteed efficiency, data
It is all to cache in memory.Difference is that the data of update periodically can be written disk or modification operation is write by redis
Enter additional record file, and it is synchronous to realize master-slave (principal and subordinate) on this basis.
Redis is a high performance key-value database.The appearance of redis, largely compensates for
The deficiency of this kind of keyvalue storage of memcached, in part, occasion can play good supplementary function to relational database.
It provides Python, Ruby, Erlang, and PHP client is very convenient to use.
Method in the present invention is to combine ehcache and redis caching, improves the query performance of data, even if
It uses ehcache as level cache, stores frequently-used data, both can guarantee the high efficiency of caching or can be reduced the network of remote cache
Communication uses redis as L2 cache, prevents the caching of ehcache from eliminating, request is caused to be directed through database,
Can guarantee will not cause largely to request to be directed through database, mention because of server resets (using AOF or RDB) caching snowslide
High user experience, this is one of important inventive point of the invention.
In one embodiment, the method also includes: database update step S104 repairs database based on user
Change request and operation is updated to database.Wherein, it is described to database be updated operation include: according to the modification request
Start a database update affairs, parsing acquisition then is carried out to the modification request, the data object modified is needed to repair
Change the corresponding position of database, then remove second level caching and first order caching, terminates the database update affairs, and return
As a result.By taking mysql database as an example, the removing of caching will be placed in affairs, and the isolated by default rank of mysql affairs is repeatable
It reads.If caching is placed on outside affairs and is purged, caching removes failure, will cause dirty reading.This is that of the invention another is important
Inventive point.
Method of the invention prevents inquiry request to be directed through database and carries out inquiry operation, and also can guarantee will not be because of
The caching snowslide of server resets (utilizing AOF or RDB) causes largely to request to be directed through database, improves user experience.
With further reference to Fig. 2, as the realization to method shown in above-mentioned Fig. 1, this application provides kinds to be based on Double buffer machine
One embodiment of the retrieval device of system, the Installation practice is corresponding with embodiment of the method shown in FIG. 1, which specifically may be used
To be contained in various electronic equipments.
Fig. 2 shows a kind of retrieval device based on pair buffers of the invention, which includes:
Level cache retrieval unit 201, for being inquired in the first order caches according to inquiry request, if hits
According to then returning to the hiting data, if miss data, carry out L2 cache retrieval.
L2 cache retrieval unit 202, for being inquired in the second level caches according to inquiry request, if hits
According to, then return the hiting data and by the hiting data be written to the first order caching, if miss data, carry out database
Retrieval.
Database retrieval unit 203, for being inquired in the database according to inquiry request, if hiting data,
It returns to the hiting data and the hiting data is written to first order caching and second level caching.
In one embodiment, the device of the invention is adapted to the database of mainstream, such as: Mysql database, SQL
Server database, oracle database, DB2 database or sybase database.
In one embodiment, the device of the invention further include: receiving unit 200 receives the inquiry request of user's input；
Wherein, the operation of receiving unit executes before the operation of level cache retrieval unit.For example user can be received by interface
The inquiry request of input, user can be requested by keyboard input inquiry, can also replicate an inquiry request, or use one
For a file as inquiry request, such as picture, inquiry request includes the content for needing to inquire, such as keyword.
In one embodiment, the first order caching is that ehcache is cached, and the second level caching is redis.
Ehcache is a kind of widely used open source Java distributed caching.It is mainly directed towards general caching, Java EE and lightweight hold
Device.It has memory and disk storage, caches loader, and caching extension caches exception handler, a gzip caching
The features such as servlet filter, support REST and SOAP api.It is mainly characterized in that: quick, simple, a variety of cache policies, delays
Deposit data has two-stage: memory and disk, and there is no need to worry capacity problem, data cached can write during virtual machine is restarted
Enter disk, distributed caching can be carried out by modes such as RMI, pluggable API, be connect with caching and listening to for cache manager
Mouth, provides the caching realization of Hibernate at the multiple buffer zones for supporting more cache manager examples and an example.
Redis is a key-value storage system.Similar with Memcached, it supports the value type phase of storage
To more, including string (character string), list (chained list), set (set) and zset (ordered set).These data types are all
It supports push/pop, add/remove and takes intersection union and difference set and richer operation, and these operations are all atoms
Property.On this basis, redis supports the sequence of various different modes.As memcached, for guaranteed efficiency, data
It is all to cache in memory.Difference is that the data of update periodically can be written disk or modification operation is write by redis
Enter additional record file, and it is synchronous to realize master-slave (principal and subordinate) on this basis.
Redis is a high performance key-value database.The appearance of redis, largely compensates for
The deficiency of this kind of keyvalue storage of memcached, in part, occasion can play good supplementary function to relational database.
It provides Python, Ruby, Erlang, and PHP client is very convenient to use.
Device in the present invention is to combine ehcache and redis caching, improves the query performance of data, even if
It uses ehcache as level cache, stores frequently-used data, both can guarantee the high efficiency of caching or can be reduced the network of remote cache
Communication uses redis as L2 cache, prevents the caching of ehcache from eliminating, request is caused to be directed through database,
Can guarantee will not cause largely to request to be directed through database, mention because of server resets (using AOF or RDB) caching snowslide
High user experience, this is one of important inventive point of the invention.
In one embodiment, described device further include: database update unit 204, for being based on user to database
Modification request operation is updated to database.It is wherein, described that be updated operation to database include: according to the modification
Request one database update affairs of starting, then to the modification request carry out parsing obtain need the data object modified into
The corresponding position of row modification database, then second level caching and first order caching are removed, terminate the database update affairs, and
It returns the result.By taking mysql database as an example, the removing of caching will be placed in affairs, and the isolated by default rank of mysql affairs is can
It repeats to read.If caching is placed on outside affairs and is purged, caching removes failure, will cause dirty reading.This is of the invention another
Important inventive point.
The device of the invention prevents inquiry request to be directed through database and carries out inquiry operation, and also can guarantee will not be because of
The caching snowslide of server resets (utilizing AOF or RDB) causes largely to request to be directed through database, improves user experience.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit can be realized in the same or multiple software and or hardware when application.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
It realizes by means of software and necessary general hardware platform.Based on this understanding, the technical solution essence of the application
On in other words the part that contributes to existing technology can be embodied in the form of software products, the computer software product
It can store in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that a computer equipment
(can be personal computer, server or the network equipment etc.) executes the certain of each embodiment of the application or embodiment
Method described in part.
It should be noted last that: above embodiments only illustrate and not to limitation technical solution of the present invention, although reference
Above-described embodiment describes the invention in detail, those skilled in the art should understand that: it still can be to this hair
It is bright to be modified or replaced equivalently, it without departing from the spirit or scope of the invention, or any substitutions, should all
It is included within the scope of the claims of the present invention.
Claims (13)
1. a kind of search method based on pair buffers, which is characterized in that this method comprises:
Level cache searching step is inquired in first order caching according to inquiry request, if hiting data, returning should
Hiting data carries out L2 cache retrieval if miss data；
L2 cache searching step is inquired in the caching of the second level according to inquiry request, if hiting data, returning should
The hiting data is simultaneously written to first order caching by hiting data, if miss data, carries out database retrieval；
Database searching steps are inquired according to inquiry request in the database, if hiting data, return to the hits
First order caching and second level caching are written to according to and by the hiting data.
2. the method according to claim 1, wherein the database is Mysql database, SQL server number
According to library, oracle database, DB2 database or sybase database.
3. the method according to claim 1, wherein the method also includes:
Receiving step receives the inquiry request of user's input；
Wherein, receiving step executes before level cache searching step.
4. the method according to claim 1, wherein the method also includes:
Database update step is updated operation to database to the modification request of database based on user.
5. according to the method described in claim 4, it is characterized in that, described to be updated operation to database include: according to institute
Modification request one database update affairs of starting are stated, parsing then is carried out to the modification request and obtains the data for needing to modify
Object is modified the corresponding position of database, then removes second level caching and first order caching, terminates the database update
Affairs, and return the result.
6. method according to claim 1-5, which is characterized in that the first order caching is that ehcache is cached,
The second level caching is redis.
7. a kind of retrieval device based on pair buffers, which is characterized in that the device includes:
Level cache retrieval unit, if hiting data, is returned for being inquired in the first order caches according to inquiry request
It returns the hiting data and carries out L2 cache retrieval if miss data；
L2 cache retrieval unit, if hiting data, is returned for being inquired in the second level caches according to inquiry request
It returns the hiting data and the hiting data is written to first order caching, if miss data, carry out database retrieval；
Database retrieval unit, if hiting data, returns to the life for being inquired in the database according to inquiry request
The hiting data is simultaneously written to first order caching and second level caching by middle data.
8. device according to claim 7, which is characterized in that the database is Mysql database, SQL server number
According to library, oracle database, DB2 database or sybase database.
9. device according to claim 8, which is characterized in that described device further include:
Receiving unit receives the inquiry request of user's input；
Wherein, the operation of receiving unit executes before the operation of level cache retrieval unit.
10. device according to claim 7, which is characterized in that described device further include:
Database update unit, for being updated operation to database to the modification request of database based on user.
11. device according to claim 10, which is characterized in that described to be updated operation to database include: basis
Modification request one database update affairs of starting, then carry out parsing to the modification request and obtain the number for needing to modify
It modifies the corresponding position of database according to object, then removes second level caching and first order caching, terminate the database and repair
Change affairs, and returns the result.
12. according to the described in any item devices of claim 7-11, which is characterized in that the first order caching is slow for ehcache
It deposits, the second level caching is redis.
13. a kind of computer readable storage medium, which is characterized in that it is stored with computer program code on the storage medium,
When the computer program code is computer-executed, perform claim requires any method of 1-6.
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