CN109101580A - A kind of hot spot data caching method and device based on Redis - Google Patents
A kind of hot spot data caching method and device based on Redis Download PDFInfo
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- CN109101580A CN109101580A CN201810803309.2A CN201810803309A CN109101580A CN 109101580 A CN109101580 A CN 109101580A CN 201810803309 A CN201810803309 A CN 201810803309A CN 109101580 A CN109101580 A CN 109101580A
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Abstract
The present invention provides a kind of hot spot data caching method based on Redis: the data inquiry request from client is obtained；Inquiry whether there is the data record of the data inquiry request in Redis caching；If it exists, then the weight of the data record increases automatically, while the value of the data record is returned to client；Otherwise it is not present, then inquires in database with the presence or absence of the data record；If existing in database, the data record in database is copied in Redis caching, while the weight of the data record being set as to the average value of all data record weights in Redis caching；Otherwise it is not present, then increases data record newly in Redis caching, the value of the data record is then set as null value at this time.If Redis caching exceeds maximum value, the smallest data record of weight can be deleted.By this method, can both make the data in Redis caching is all high hit rate data, effectively raises the inquiry velocity of hot spot data, can also reduce the occupancy of spatial cache.
Description
Technical field
The present invention relates to data security arts, more particularly, to a kind of hot spot data caching method and dress based on Redis
It sets.
Background technique
The efficiency of system processing is greatly improved using caching mechanism in distributed and micro services framework system and is
It unites data throughput scale itself, can solve high concurrent request and the processing of mass data.The caching mechanism is to pass through
Data in database are loaded into memory or the processing faster storage medium of access speed, and for a long time this kind of data
Ground saves, and to reduce the accessed number of database, and then reduces database I/O in a large amount of read action and is occupied for a long time
Caused by performance be lost.Though caching mechanism can provide efficient inquiry velocity and request response, there are still following two problems:
1. a large amount of data can not be stored in caching, as the continuous variation of demand data will go access number if do not had in caching
According to library inquiry, it is easy to cause caching penetration problem, or even caching snowslide occurs；2. storing data in the buffer is all not
The data that system currently needs cause hit rate low.
Redis (Remote Dictionary Server, remote date transmission) is a memory cache data
Library, the software make to show a C language, data model key-value, since Redis can support data type abundant, such as
String, List, Hash, Set, Sorted Set etc., therefore be widely used.In currently available technology, cached in Redis(
Layer) in be arranged null value, avoid frequently interacting with back-end data base, utilize " caching+expired time " strategy, avoid too many sky
Value occupies spatial cache, carrys out the access speed of accelerating interface, reduces backend load, while the update of assurance function.Utilize the party
Although method can effectively avoid penetration problem among the above, still it is difficult to ensure that the data in cache layer are exactly currently to ask
The urgent need data asked, that is, still it is difficult to ensure that high hit rate.
The invention proposes a kind of hot spot data caching method and device based on Redis, on the one hand in Redis caching
Data weighting sequence, can make caching in data be all high hit rate data, effectively raise the inquiry of hot spot data
Speed, on the other hand in new data write-in caching and when caching is exceeded, by deleting the smallest data of weight, and meanwhile this is new
Data weighting value is weighted to the median of all weights, can also reduce the occupancy of spatial cache.
Summary of the invention
In order to solve the above-mentioned technical problem, the present invention passes through empty key-value pair storage and message queue carries out data and synchronizes,
It avoids frequently being interacted with database, and sorts to the data weighting in Redis caching, delete the smallest data of weight.
On the one hand can make the data in caching is all high hit rate data, effectively raises the inquiry velocity of hot spot data, another
Aspect can also reduce the occupancy of spatial cache.
The present invention provides a kind of hot spot data caching method based on Redis, the described method comprises the following steps:
Obtain the data inquiry request from client；
Inquiry whether there is the data record of the data inquiry request in Redis caching；The data knot of the data record
Structure be<mark, weight, value>, it is described mark have uniqueness, the data inquiry request be based on the mark progress；
If the weight of the data record increases automatically, while by the data there are the data record in Redis caching
The value of record returns to client；Conversely,
If the data record is not present in Redis caching, inquire in database with the presence or absence of the data record；
If it exists, then the data record in database is copied in Redis caching, while by the power of the data record
Value is set as the average value of all data record weights in Redis caching；
If it does not exist, then data record is increased newly in Redis caching, the mark of the data record is set as the data and looks into
The mark in request is ask, the weight of the data record is set as the average value of all data record weights in Redis caching,
The value of the data record is then set as null value.
Further, the caching method further include:
Need to be arranged Redis caching can storing data record maximum value.
Further, before the data record in database to be copied to Redis caching, or in Redis caching
Before newly-increased data record, further includes:
It checks whether the data record in Redis caching reaches maximum value, if reaching, it is minimum to delete weight in Redis caching
Data record.
Further, the method also includes:
When the value of data record in Redis caching is null value, the data record need to be written to message queue, and notification message
Queue asynchronous process keeps Redis caching synchronous with database holding.
Further, further includes: the weight of the settable data record increased amplitude automatically.
In addition, the present invention provides a kind of hot spot data buffer storage based on Redis, described device includes:
Module is obtained, for obtaining the data inquiry request from client；
Enquiry module, for inquiring in Redis caching and database the data record that whether there is the data inquiry request；Institute
State data record data structure be<mark, weight, value>, it is described mark have uniqueness, it is described inquiry be based on the mark
It carries out；
Computing module, for increasing the data record automatically when inquiring in Redis caching there are when the data record
Weight；And for calculating in Redis caching when the data record is not present in Redis caching, and removes inquiry database
The average value of all data record weights；
Writing module, for when Redis caching in there is no the data record and in database in the presence of, will be in database
The data record copies in Redis caching；And when being not present in database, a data is increased newly in Redis caching
Record.
Further, described device further includes setup module, for be arranged Redis caching can storing data record maximum
Value.
Further, described device further includes checking module,
A data is increased newly before the data record in database is copied to Redis caching, or in Redis caching
Before record, check Redis caching in data record whether reach maximum value, if reaching, delete Redis caching in weight most
Small data record.
Further, the write module further includes,
For that message queue need to be written in the data record, and notify when the value of data record during Redis is cached is null value
Message queue asynchronous process keeps Redis caching synchronous with database holding.
Further, the setup module further includes for the weight of the data increased amplitude automatically to be arranged.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, attached drawing used in being described below to embodiment
It is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, general for this field
For logical technical staff, under the premise of not paying creativeness, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of hot spot data caching method flow chart based on Redis provided by the invention；
Fig. 2 is a kind of hot spot data caching method flow chart based on Redis that the embodiment of the present invention one provides；
Fig. 3 is a kind of hot spot data caching method flow chart based on Redis provided by Embodiment 2 of the present invention；
Fig. 4 is a kind of hot spot data buffer storage structure chart based on Redis provided by the invention；
Fig. 5 is another hot spot data buffer storage structure chart based on Redis provided by the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it should be pointed out that described embodiment is only a part of the embodiments of the present invention, rather than whole realities
Apply example.Based on the embodiments of the present invention, those skilled in the art institute obtained without making creative work
There are other embodiments, shall fall within the protection scope of the present invention.
The present invention provides a kind of hot spot data caching method based on Redis, as shown in Figure 1, the method includes with
Lower step:
Step S11 obtains the data inquiry request from client；
Step S12, inquiry whether there is the data record of the data inquiry request in Redis caching；The data record
Data structure be<mark, weight, value>, it is described mark have uniqueness, the data inquiry request be based on it is described identify into
Row；
If it exists, then S13 is entered step, conversely, entering step if the data record of the inquiry request is not present in Redis
Rapid S14；
Step S13, the weight of the data record increase automatically, while the value of the data record is returned to client；
Step S14 is inquired and be whether there is the data record in database；If there are the data record in database, into
Enter step S15, conversely, entering step S16 if being not present in database；
Step S15 copies to the data record in database in Redis caching, while by the power of the data record
Value is set as the average value of all data record weights in Redis caching；
Step S16, increases data record newly in Redis caching, and the mark of the data record is set as the data query
The mark in request, the weight of the data record are set as the average value of all data record weights in Redis caching, institute
The value for stating data record is then set as null value.
In above-mentioned steps, the mark refers to a data ID, for example, the account of user, account is unique, inquiry
When need inquired according to user account, at this time can by account be unique identification, i.e. major key key；
The weight refers to that the weighted value of the data, the corresponding weight of a mark represent the different degree of data,
The namely data frequency that is queried access, weight represent more greatly this data be queried access number it is more；
Described value, for the particular content of the data record, for example, an account (unique identification), the value corresponded to can have electricity
The information such as words, mailbox, department, described value is corresponding to can be an individual information, is also possible to multiple information, these are believed
It is exactly corresponding value that breath, which is converted into a character string (json),.
In above-mentioned steps S13, the weight of the data record increases automatically, refers to in inquiry Redis caching
Existing data record and increase automatically, increased amplitude can be set.
In addition, when there are when the data record, further include inquiring the corresponding value of the data record to be in Redis caching
No is empty.The step S13 further includes following steps, as shown in Figure 2:
Step S131, if there are the data records in Redis caching, whether the value including inquiring the data record is empty；
If described value is not sky, S132 is entered step, otherwise described value is sky, then enters step S133；
Corresponding value will be returned to client by step S132；
Step S133, then be written message queue for the data record, and null value returns to client；
Corresponding value is sky among the above, refers to not having the corresponding value of the data record in inquiry Redis caching, at this time its
Corresponding data store organisation be<mark, weight, " ">.For example, the data for having a data to record store in Redis
Structure be<" zhishichanquan ", 100, " ">, then inquiry containing mark " zhishichanquan " data when,
The weight of the data record will increase automatically in Redis caching, can be 101, be also possible to 101.5 or other 100 with
On, specific increasing degree can be set, weight increasing degree be not limited to the present invention for example；Since the data are remembered
Value in record is empty, so client null value will be returned to, i.e., data be not present or without the user query data.
Step S134, notification message queue asynchronous process, so that Redis caching and database in phase.
In step S134, message queue in current production environment using it is more have ActiveMQ, RabbitMQ,
ZeroMQ, Kafka, MetaMQ, RocketMQ etc..Message queue will assigning null data record in snoop queue, access data
Library, so that Redis caching and database in phase.When accessing database, it may appear that following two situation:
(1) if occurring the data record in database, as there is value corresponding to " zhishichanquan " in database,
Such as " core technology centre of development department, * * * company ", message queue will be " core technology centre of development department, * * * at this time
Company " is synchronized in Redis caching, i.e. data record in Redis caching will be updated to < " zhishichanquan ",
100, " { " userdeparment ": " core technology centre of development department ", " usercompany ": " * * * company " } >, under
When secondary client inquires " zhishichanquan " again, then " core technology centre of development department, * * * company " can be sent to
Client, and weight will increase automatically from original 100 according to the increasing degree of setting, and the increasing degree of such as setting is 1, then
The data store organisation of the data record in Redis caching then becomes < " zhishichanquan " at this time, and 101, " "
UserDepart ": " core technology centre of development department " } >；
(2) if inquiring the data containing " zhishichanquan " mark again in client, and still without this in database
Data record, returns to client null value at this time, and the weight of data record described in Redis caching is according to the increasing degree of setting
Automatic to increase, the increasing degree of such as setting is 100, then the data store organisation of the data record then becomes in Redis caching at this time
For<" zhishichanquan ", 200, " ">, this assigning null data is recorded into write-in message queue, the asynchronous place of notification message queue
Reason, so that Redis caching and database in phase.
It is recorded, data in database is synchronized in Redis caching, under client by message queue poll assigning null data
It is secondary not need access database when visiting again then, it can be to avoid the frequent interaction with database, even if there are above-mentioned (2) this feelings
Condition is also still that assigning null data record is put into message queue, inquires database by one rule of message queue, solve caching
Data penetration problem, at the same to a certain extent by data query and data synchronize decoupled.
In addition, inquiring in above-mentioned steps S14 and whether there is the data record in database, if not deposited in database
In the data record, specifically comprise the following steps, as shown in Figure 3:
Step S141, if the data record is not present in database；
Step S142, increases data record newly in Redis caching, and the mark of the data record is set as the data query
The mark in request, the weight of the data record are set as the average value of all data record weights in Redis caching, institute
The value for stating data record is then set as null value, and checks whether the data volume in Redis caching reaches maximum value；
If reaching maximum value, S143 is entered step, conversely, then entering step S144；
Step S143 deletes the smallest data record of weight in Redis caching, and increases the data note newly in Redis caching
Record；
Step S144 directly increases the data record newly in Redis caching；
Message queue will be written in the data record by step S145, and null value returns to client；
Step S146, notification message queue asynchronous process, so that Redis caching and database in phase.
In above-mentioned steps S142, when the data record is not present in database, a number is increased newly in Redis caching
According to record.For example, the mark of client data inquiry request is " zhishichanquan001 ", and there is no this mark in database
This can then be identified corresponding value and be set as null value by the data record of knowledge, calculate all data records in Redis caching at this time
The average value 100 of weight, and by this new data record<" zhishichanquan001 ", 100, " ">write-in Redis caching
In, and this assigning null data is recorded into write-in message queue, notification message queue asynchronous process, so that Redis caching and database
Data are synchronous, likewise, this data is synchronized to by message queue if occurring this in database identifies corresponding value
In Redis caching.
Before new data record is written to Redis caching, whether enough big, the meetings of amount of storage of Redis caching are also judged
It is not up to the maximum value of amount of storage in Redis.For example, allowing maximum storage data quantity to be 10,000 in setting Redis caching
Item records 10,000 datas of storage in Redis caching, when sending 10,000 different data inquiry requests if inquiry next time
When the data being not present in Redis caching, needed at this time toward one new data record of write-in in Redis caching, but Redis
Storage data quantity has arrived at the upper limit in caching, so needing to obtain the smallest data record of weight in Redis caching, deletes power
It is worth the smallest data record, then the new data records is increased newly in Redis caching.
Fig. 4 is a kind of hot spot data buffer storage structure chart based on Redis provided by the invention, as shown in figure 4, described
Buffer storage includes:
Module 11 is obtained, for obtaining the data inquiry request of client；
Enquiry module 12, for inquiring in Redis caching and database the data record that whether there is the data inquiry request；
The data structure of the data record be<mark, weight, value>, it is described mark have uniqueness, it is described inquiry be based on the mark
Know and carries out；
Computing module 13, for increasing the data record automatically when inquiring in Redis caching there are when the data record
Weight；And for calculating Redis caching when the data record is not present in Redis caching, and removes inquiry database
In all data record weights average value；
Writing module 14, for when Redis caching in there is no the data record and in database in the presence of, will be in database
The data record copy to Redis caching in；And when being not present in database, a number is increased newly in Redis caching
According to record.
Above-mentioned writing module 14 further includes, need to be by the number for when the value of data record during Redis is cached is null value
Message queue, and notification message queue asynchronous process is written according to record, keeps Redis caching synchronous with database holding.
In addition, the buffer storage further includes other modules, as shown in figure 5, described device further include:
Setup module 16, for be arranged Redis caching can storage data quantity maximum value；
Module 17 is checked, before the data record in database is copied to Redis caching, or in Redis caching
It before newly-increased data record, checks whether the data record in Redis caching reaches maximum value, if reaching, deletes Redis
The smallest data record of weight in caching.
The setup module 16 can be also used for being arranged the weight of the data record increased amplitude automatically.Increase width
Degree can be 1, can be 0.5,1.5 etc..I.e. when in Redis caching there are when the data of the inquiry, the number in Redis caching
Weight according to record will increase automatically according to the increasing degree value of setting.
By means of the present invention and device, on the one hand, weight sequencing is carried out to data record in Redis caching, it can be with
Making the data in caching is all high hit rate data, effectively raises the inquiry velocity of hot spot data；On the other hand, when
When there is no inquired data record in Redis caching, new data record is written in Redis caching, if exceeding at this time
It, can be by deleting the smallest data record of weight when maximum storage set by Redis caching, while this new data being remembered
The weight of record is weighted to the average value of all data record weights in Redis caching, can also reduce the occupancy of spatial cache.
Claims (10)
1. a kind of hot spot data caching method based on Redis, which is characterized in that the described method comprises the following steps:
Obtain the data inquiry request from client；
Inquiry whether there is the data record of the data inquiry request in Redis caching；The data knot of the data record
Structure be<mark, weight, value>, it is described mark have uniqueness, the data inquiry request be based on the mark progress；
If the weight of the data record increases automatically, while by the data there are the data record in Redis caching
The value of record returns to client；Conversely,
If the data record is not present in Redis caching, inquire in database with the presence or absence of the data record；
If it exists, then the data record in database is copied in Redis caching, while by the power of the data record
Value is set as the average value of all data record weights in Redis caching；
If it does not exist, then data record is increased newly in Redis caching, the mark of the data record is set as the data and looks into
The mark in request is ask, the weight of the data record is set as the average value of all data record weights in Redis caching,
The value of the data record is then set as null value.
2. hot spot data caching method as described in claim 1, which is characterized in that further include:
Need to be arranged Redis caching can storing data record maximum value.
3. hot spot data caching method as described in claim 1, which is characterized in that by the data record in database
Before copying to Redis caching, or in Redis caching before newly-increased data record, further includes:
It checks whether the data record in Redis caching reaches maximum value, if reaching, it is minimum to delete weight in Redis caching
Data record.
4. hot spot data caching method as described in claim 1, which is characterized in that further include:
When the value of data record in Redis caching is null value, the data record need to be written to message queue, and notification message
Queue asynchronous process keeps Redis caching synchronous with database holding.
5. hot spot data caching method as claimed in claim 2, which is characterized in that further include: the settable data record
Weight increased amplitude automatically.
6. a kind of hot spot data buffer storage based on Redis, which is characterized in that described device includes:
Module is obtained, for obtaining the data inquiry request from client；
Enquiry module, for inquiring in Redis caching and database the data record that whether there is the data inquiry request；Institute
State data record data structure be<mark, weight, value>, it is described mark have uniqueness, it is described inquiry be based on the mark
It carries out；
Computing module, for increasing the data record automatically when inquiring in Redis caching there are when the data record
Weight；And for calculating in Redis caching when the data record is not present in Redis caching, and removes inquiry database
The average value of all data record weights；
Writing module, for when Redis caching in be not present the data record, and in database in the presence of, will be in database
The data record copy to Redis caching in；And when being not present in database, a number is increased newly in Redis caching
According to record.
7. hot spot data buffer storage as claimed in claim 6, it is further characterized in that, described device further includes setup module,
For be arranged Redis caching can storing data record maximum value.
8. hot spot data buffer storage as claimed in claim 6, it is further characterized in that, described device further includes checking module,
A data is increased newly before the data record in database is copied to Redis caching, or in Redis caching
Before record, check Redis caching in data record whether reach maximum value, if reaching, delete Redis caching in weight most
Small data record.
9. hot spot data buffer storage as claimed in claim 6, it is further characterized in that, the write module further includes,
For that message queue need to be written in the data record, and notify when the value of data record during Redis is cached is null value
Message queue asynchronous process keeps Redis caching synchronous with database holding.
10. hot spot data buffer storage as claimed in claim 7, it is further characterized in that, the setup module further includes,
For the weights of the data increased amplitude automatically to be arranged.
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| CN113986942A (en) * | 2021-12-28 | 2022-01-28 | 零犀(北京)科技有限公司 | Message queue management method and device based on man-machine conversation |
| CN115550445A (en) * | 2022-10-31 | 2022-12-30 | 浪潮云信息技术股份公司 | Distributed system request response method and related components |
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