CN109669960A - The system and method for caching snowslide is avoided by multi-level buffer in micro services - Google Patents
The system and method for caching snowslide is avoided by multi-level buffer in micro services Download PDFInfo
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Abstract
A kind of system and method for avoiding caching snowslide by multi-level buffer in micro services of the present invention, multiple micro services cloud platforms including gateway, equipped with level cache, Redis database and MySQL database as L2 cache；Gateway is for being distributed to corresponding micro services cloud platform for the data inquiry request according to load balancing distribution principle when receiving data inquiry request；Corresponding micro services cloud platform is for inquiring in local level cache with the presence or absence of data to be checked, data to be checked are directly returned when to be, Redis database is inquired when to be no, there are obtain data to be checked when data to be checked and feed back to gateway in L2 cache, MySQL database is inquired when data to be checked being not present in L2 cache, and by the data feedback inquired to gateway.The present invention utilizes the expired time of multi-level buffer and differentiation, to avoid caching snowslide problem caused by the data of multiple cache nodes are expired simultaneously.
Description
Technical field
The present invention relates to micro services caching technology fields, are avoided in micro services by multi-level buffer more particularly to one kind
Cache the system and method for snowslide.
Background technique
It is the centralized caching technology of representative also by more and more extensive fortune using Redis with popularizing for micro services technology
It uses in each cloud platform.Some inevitable disadvantages have also been introduced in Redis while improving throughput of system: as every time
Inquiry request require by network access Redis in it is data cached, also increase network delay while increasing bandwidth.
In addition, instantaneous a large amount of request will directly access the database, this after the data in Redis caching reach expired time
Situation will cause database corruption, referred to as caching snowslide.
Summary of the invention
Object of the present invention is to solve the problems, such as that centralized caching bandwidth occupies height and avoids caching snowslide, one kind is provided micro-
The system and method for caching snowslide is avoided in service by multi-level buffer.
The present invention is to solve above-mentioned technical problem by following technical proposals:
The present invention provides a kind of system for avoiding caching snowslide by multi-level buffer in micro services, it is characterized in that,
Multiple micro services cloud platforms including gateway, equipped with level cache, Redis database and MySQL data as L2 cache
Library；
The gateway is used for the data inquiry request when receiving data inquiry request according to load balancing distribution principle
It is distributed to corresponding micro services cloud platform；
The corresponding micro services cloud platform whether there is data to be checked for inquiring in local level cache,
Data to be checked are directly returned when to be, Redis database are inquired when to be no, there are numbers to be checked in L2 cache
According to when obtain data to be checked and feed back to gateway, inquire MySQL number when data to be checked being not present in L2 cache
According to library, there are obtaining data to be checked when data to be checked and feeding back to gateway in MySQL database, in MySQL number
The information without this data is fed back to gateway according to when data to be checked being not present in library.
Preferably, the corresponding micro services cloud platform is used to tie inquiry regardless of whether inquiring data to be checked
Fruit is broadcast to other micro services cloud platforms, and other micro services cloud platforms are for caching the query result, the query result packet
The result for including data inquiry request and whether inquiring.
Preferably, those micro services cloud platforms are all made of ConcurrentHashMap technology to store level cache data,
Every in level cache data cached include cache data content, data cached creation time, data cached expired time and
Data cached hit-count；
The micro services cloud platform is used for certain the data cached data cached expired time in local level cache and arrives
Up to when judge whether the data cached data cached hit-count of this is lower than a given threshold, deleted when to be this caching
Data, when to be no by the data cached data buffer storage new as one of this into local level cache.
Preferably, the data cached data cached expired time in different level caches of this is different, and/or, it should
Item is data cached different with the data cached expired time in L2 cache in level cache.
Preferably, the system also includes Kafka component, the Kafka component is used for receive those micro services clouds flat
When a micro services cloud platform more new data in platform, this more new data is synchronized to other in those micro services cloud platforms
In micro services cloud platform.
The method that the present invention also provides a kind of to avoid caching snowslide by multi-level buffer in micro services, it is characterized in that,
Itself the following steps are included:
The data inquiry request is distributed to when receiving data inquiry request according to load balancing distribution principle by S1, gateway
Corresponding micro services cloud platform；
It whether there is data to be checked in the local level cache of S2, the inquiry of corresponding micro services cloud platform, be yes
When enter step S3, otherwise enter step S4；
S3, corresponding micro services cloud platform directly return to data to be checked；
S4, corresponding micro services cloud platform inquiry Redis database whether there is data to be checked, enter when to be
Step S5, otherwise enters step S6；
S5, corresponding micro services cloud platform obtain data to be checked and feed back to gateway；
S6, corresponding micro services cloud platform inquiry MySQL database whether there is data to be checked, enter when to be
Step S7, otherwise enters step S8；
S7, corresponding micro services cloud platform obtain data to be checked and feed back to gateway
S8, information of the corresponding micro services cloud platform feedback without this data are to gateway.
Preferably, in after step s8, corresponding micro services cloud platform is regardless of whether to inquire data to be checked equal
Query result is broadcast to other micro services cloud platforms, other micro services cloud platforms cache the query result, the inquiry knot
Fruit includes data inquiry request and the result that whether inquires.
Preferably, those micro services cloud platforms are all made of ConcurrentHashMap technology to store level cache data,
Every in level cache data cached include cache data content, data cached creation time, data cached expired time and
Data cached hit-count；
The micro services cloud platform data cached expired time that certain data cached in local level cache judges when reaching
Whether the data cached data cached hit-count of this is lower than a given threshold, and it is data cached to delete this when to be,
When being no by the data cached data buffer storage new as one of this into local level cache.
Preferably, the data cached data cached expired time in different level caches of this is different, and/or, it should
Item is data cached different with the data cached expired time in L2 cache in level cache.
Preferably, Kafka component is when receiving a micro services cloud platform more new data in those micro services cloud platforms,
This more new data is synchronized in other micro services cloud platforms in those micro services cloud platforms.
On the basis of common knowledge of the art, above-mentioned each optimum condition, can any combination to get each preferable reality of the present invention
Example.
The positive effect of the present invention is that:
The present invention is using micro services local memory as level cache (de-centralized), using Redis as L2 cache
(centralization) just accesses database request data in the absence of data are equal in level-one, L2 cache.
The present invention utilizes the expired time of multi-level buffer and differentiation, to avoid the data of multiple cache nodes expired simultaneously
Caused by caching snowslide problem.The presence of level cache mostly to request access to local memory, without logical
Network access L2 cache Redis is crossed, so as to greatly improve the response time of system and save bandwidth resources.
Detailed description of the invention
Fig. 1 is the signal of the system for avoiding caching snowslide by multi-level buffer in micro services of present pre-ferred embodiments
Figure.
Fig. 2 is the process of the method for avoiding caching snowslide by multi-level buffer in micro services of present pre-ferred embodiments
Figure.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
As shown in Figure 1, the system that the present embodiment provides a kind of to avoid caching snowslide by multi-level buffer in micro services,
Multiple micro services cloud platforms including gateway, equipped with level cache, Redis database and MySQL data as L2 cache
Library.
The gateway is used for the data inquiry request when receiving data inquiry request according to load balancing distribution principle
It is distributed to corresponding micro services cloud platform.
Such as: such as Fig. 1, gateway asks the data query according to load balancing distribution principle when receiving data inquiry request
Seek the micro services cloud platform A1 for being distributed to current relative free.
The corresponding micro services cloud platform whether there is data to be checked for inquiring in local level cache,
Data to be checked are directly returned when to be, Redis database are inquired when to be no, there are numbers to be checked in L2 cache
According to when obtain data to be checked and feed back to gateway, inquire MySQL number when data to be checked being not present in L2 cache
According to library, there are obtaining data to be checked when data to be checked and feeding back to gateway in MySQL database, in MySQL number
The information without this data is fed back to gateway according to when data to be checked being not present in library.
Such as: it whether there is data to be checked in the local level cache of micro services cloud platform A1 inquiry, when to be
Data to be checked are directly returned, Redis database are inquired when to be no, there are obtain when data to be checked in L2 cache
It takes data to be checked and feeds back to gateway, inquire MySQL database when data to be checked being not present in L2 cache, and
By the data feedback inquired to gateway.
In the present embodiment, micro services cloud platform A1 broadcasts query result regardless of whether inquiring data to be checked
To other micro services cloud platform A2 and A3, other micro services cloud platform A2 and A3 cache the query result, the query result
Including data inquiry request and the result whether inquired.
No matter whether inquired in local level cache data to be checked query result is broadcast to it is other micro-
Service cloud platform, to solve caching penetration problem.Assuming that a data inquiry request has been passed to the data Id being not present,
Then the data 100% are not present in level cache, L2 cache and database.Request all can be direct through caching every time at this time
Database is accessed, the burden of database has been aggravated, such situation, which is referred to as to cache, to be penetrated.And the present embodiment passes through regardless of whether looking into
It askes data to be checked and query result is broadcast to other micro services cloud platforms, in this way, flat in other micro services clouds
Platform can not need to inquire L2 cache and database again when receiving the data inquiry request, but directly return without this number
According to information.
In order to which quick-searching is data cached, in the case where considering big concurrent, those micro services cloud platforms are all made of
ConcurrentHashMap technology stores level cache data, and data cached every in level cache includes data cached
Content, data cached creation time, data cached expired time and data cached hit-count.
Micro services cloud platform A1, A2 or A3 certain the data cached data cached expired time in local level cache arrive
Up to when judge whether the data cached data cached hit-count of this is lower than a given threshold, deleted when to be this caching
Data, when to be no by the data cached data buffer storage new as one of this into local level cache.
In the present embodiment, in order to solve the problems, such as caching snowslide, it is data cached in different level caches that this is set
Data cached expired time it is different, the data cached data cached expired time in level cache and L2 cache of this is not
Together.By can utmostly avoid multi-level buffer simultaneously for configuration variance expired time in level cache and L2 cache
Expired situation, if level cache 5 minutes expired, L2 cache 6 minutes expired.In addition between different level caches, mistake
Time phase is also different.
It can be added at random the expired gain time by Random class after each caching example starting, therefore different level-ones
The data expired time of caching has little bit different.Accordingly even when some level cache data is expired, due to micro services itself
Load balancing characteristic, a large amount of request can be divided into each micro services cloud platform, therefore only had fraction request and passed through
Level cache requests L2 cache.Assuming that L2 cache data are just also expired at this time, MySQL database can be just requested.
Amount of access very little at this time will not cause too big burden to MySQL database.After MySQL database inquiry, data
Expired level cache node can be updated using the data inquired as new data into memory, and be broadcast to other level caches
Node.While data update, expired time can be also updated other level cache nodes.Therefore some hot spot data is expired
The case where, it often only appears on a small amount of level cache node, only having a small amount of request at this time can request second level slow
The case where depositing or MySQL database, being thus not in caching snowslide.
In order to solve the problems, such as that data are synchronous between caching.It is real often to there are multiple micro services cloud platforms in the same micro services
Such as A1, A2 and A3.When one of micro services cloud platform updates certain data, need this change data being synchronized to it
In his micro services example A2 and A3.The present invention sends using message-oriented middlewares such as Kafka and receives updated data.Data become
More square to be used as sender, other related micro services are as recipient.Specifically, described the system also includes Kafka component
Kafka component is used for when receiving a micro services cloud platform more new data in those micro services cloud platforms, this is updated
Data are synchronized in other micro services cloud platforms in those micro services cloud platforms.
The Data Consistency of level cache, L2 cache and database.The number of L2 cache Redis in the present invention
According to and the data of database be to be guaranteed by local matter or be updated successfully simultaneously or do not updated.Therefore the two is held
Data be strongly consistent.The data of level cache realized when updating by Kafka broadcast there are a little delays, most
It is consistency eventually.
As shown in Fig. 2, the present embodiment also provides a kind of method for avoiding caching snowslide by multi-level buffer in micro services,
Itself the following steps are included:
Step 101, gateway are when receiving data inquiry request according to load balancing distribution principle by the data inquiry request
It is distributed to corresponding micro services cloud platform；
It whether there is data to be checked in the local level cache of step 102, the inquiry of corresponding micro services cloud platform,
103 are entered step when to be, otherwise entering step 104；
Step 103, corresponding micro services cloud platform directly return to data to be checked；
Step 104, corresponding micro services cloud platform inquiry Redis database whether there is data to be checked, be yes
When enter step 105, otherwise enter step 106；
Step 105, corresponding micro services cloud platform obtain data to be checked and feed back to gateway；
Step 106, corresponding micro services cloud platform inquiry MySQL database whether there is data to be checked, be yes
When enter step 107, otherwise enter step 108；
Step 107, corresponding micro services cloud platform obtain data to be checked and feed back to gateway
Step 108, information of the corresponding micro services cloud platform feedback without this data are to gateway.
After step 108, corresponding micro services cloud platform ties inquiry regardless of whether inquiring data to be checked
Fruit is broadcast to other micro services cloud platforms, and other micro services cloud platforms cache the query result, which includes number
According to inquiry request and the result whether inquired.
Although specific embodiments of the present invention have been described above, it will be appreciated by those of skill in the art that these
It is merely illustrative of, protection scope of the present invention is defined by the appended claims.Those skilled in the art is not carrying on the back
Under the premise of from the principle and substance of the present invention, many changes and modifications may be made, but these are changed
Protection scope of the present invention is each fallen with modification.
Claims (10)
1. a kind of system for avoiding caching snowslide by multi-level buffer in micro services, which is characterized in that it includes gateway, is equipped with
Multiple micro services cloud platforms of level cache, Redis database and MySQL database as L2 cache；
The gateway is for distributing the data inquiry request according to load balancing distribution principle when receiving data inquiry request
To corresponding micro services cloud platform；
The corresponding micro services cloud platform is being yes for inquiring with the presence or absence of data to be checked in local level cache
When directly return to data to be checked, when to be no inquire Redis database, there are when data to be checked in L2 cache
It obtains data to be checked and feeds back to gateway, inquire MySQL database when data to be checked being not present in L2 cache,
There are obtaining data to be checked when data to be checked and feed back to gateway in MySQL database, in MySQL database
There is no the information without this data is fed back when data to be checked to gateway.
2. the system for avoiding caching snowslide by multi-level buffer in micro services as described in claim 1, which is characterized in that institute
State corresponding micro services cloud platform for regardless of whether inquire data to be checked query result is broadcast to it is other micro-
Service cloud platform, other micro services cloud platforms for caching the query result, the query result include data inquiry request and
The result whether inquired.
3. the system for avoiding caching snowslide by multi-level buffer in micro services as described in claim 1, which is characterized in that should
Service cloud platform slightly is all made of ConcurrentHashMap technology to store level cache data, every in level cache
Data cached includes cache data content, data cached creation time, data cached expired time and data cached hit-count；
When data cached expired time of the micro services cloud platform for certain data cached in local level cache reaches
Judge whether the data cached data cached hit-count of this is lower than a given threshold, this is deleted when to be and caches number
According to when to be no by the data cached data buffer storage new as one of this into local level cache.
4. the system for avoiding caching snowslide by multi-level buffer in micro services as claimed in claim 3, which is characterized in that should
The data cached data cached expired time in different level caches of item is different, and/or, this is data cached slow in level-one
It deposits different with the data cached expired time in L2 cache.
5. the system for avoiding caching snowslide by multi-level buffer in micro services as described in claim 1, which is characterized in that institute
The system of stating further includes Kafka component, and the Kafka component is for receiving a micro services cloud in those micro services cloud platforms
When platform more new data, this more new data is synchronized in other micro services cloud platforms in those micro services cloud platforms.
6. it is a kind of in micro services by multi-level buffer avoid caching snowslide method, which is characterized in that itself the following steps are included:
The data inquiry request is distributed to correspondence according to load balancing distribution principle when receiving data inquiry request by S1, gateway
Micro services cloud platform；
Whether there is data to be checked in the local level cache of S2, the inquiry of corresponding micro services cloud platform, when to be into
Enter step S3, otherwise enters step S4；
S3, corresponding micro services cloud platform directly return to data to be checked；
S4, corresponding micro services cloud platform inquiry Redis database whether there is data to be checked, enter step when to be
Otherwise S5 enters step S6；
S5, corresponding micro services cloud platform obtain data to be checked and feed back to gateway；
S6, corresponding micro services cloud platform inquiry MySQL database whether there is data to be checked, enter step when to be
Otherwise S7 enters step S8；
S7, corresponding micro services cloud platform obtain data to be checked and feed back to gateway
S8, information of the corresponding micro services cloud platform feedback without this data are to gateway.
7. the method for avoiding caching snowslide by multi-level buffer in micro services as claimed in claim 6, which is characterized in that
After step S8, query result is broadcast to other regardless of whether inquiring data to be checked by corresponding micro services cloud platform
Micro services cloud platform, other micro services cloud platforms cache the query result, the query result include data inquiry request and
The result whether inquired.
8. the method for avoiding caching snowslide by multi-level buffer in micro services as claimed in claim 6, which is characterized in that should
Service cloud platform slightly is all made of ConcurrentHashMap technology to store level cache data, every in level cache
Data cached includes cache data content, data cached creation time, data cached expired time and data cached hit-count；
The micro services cloud platform data cached expired time that certain data cached in local level cache judges this when reaching
Whether data cached data cached hit-count is lower than a given threshold, and it is being no that it is data cached, which to delete this when to be,
When by the data cached data buffer storage new as one of this into local level cache.
9. the method for avoiding caching snowslide by multi-level buffer in micro services as claimed in claim 8, which is characterized in that should
The data cached data cached expired time in different level caches of item is different, and/or, this is data cached slow in level-one
It deposits different with the data cached expired time in L2 cache.
10. the method for avoiding caching snowslide by multi-level buffer in micro services as claimed in claim 6, which is characterized in that
Kafka component is when receiving a micro services cloud platform more new data in those micro services cloud platforms, by this more new data
It is synchronized in other micro services cloud platforms in those micro services cloud platforms.
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Application publication date: 20190423 |