CN109189797A - A kind of data-updating method and system - Google Patents
A kind of data-updating method and system Download PDFInfo
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- CN109189797A CN109189797A CN201811037867.9A CN201811037867A CN109189797A CN 109189797 A CN109189797 A CN 109189797A CN 201811037867 A CN201811037867 A CN 201811037867A CN 109189797 A CN109189797 A CN 109189797A
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Abstract
The present invention provides a kind of methods that data update, comprising: when there are when data update, generating target data in Relational DBMS；Distributed cache system receives the target data that Relational DBMS is sent, and caches；Server obtains target data from distributed cache system, and is added in local cache.The data-updating method provided through the embodiment of the present invention, server actively obtains target data from distributed cache system, without according to prefixed time interval poll relational data management system, to can reduce server to the access pressure of Relational DBMS.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of data-updating method and system.
Background technique
Target authentication system is mainly that corporate user provides certification, judges the permission of user.Mobile terminal calling is recognized at present
Card interface authenticates the permission of user, and most user is unverified user, so authentication interface increases this
Ground caches, and storing all certification user identity in local cache proves, when user is in local cache, then directly by recognizing
Card.
During updating local cache, Servers-all timing loads all from Relational DBMS
Data are stored into local cache, since server is excessive and determines the data in Relational DBMS
When obtain, therefore it is frequent to the access of Relational DBMS, so as to cause the visit of Relational DBMS
Ask that pressure is excessive.
Summary of the invention
The present invention provides a kind of data-updating method and systems, to solve the acquisition pair of data existing in the prior art
The problem that Relational DBMS causes access pressure big.
To solve the above-mentioned problems, the invention discloses a kind of data-updating methods, which comprises when relationship type number
According to there are when data update, generating target data in base management system；Distributed cache system receives the relevant database
The target data that management system is sent, and cache；Described in determining and be cached in the distributed cache system when server
When target data, the target data is obtained from the distributed cache system, and be added in local cache.
Preferably, described when there are generate target data when data update in Relational DBMS
It include: when, there are when data update, the data according to update generate data logging in Relational DBMS；According to institute
It states data logging and obtains target data.
Preferably, the distributed cache system receives the number of targets that the Relational DBMS is sent
According to, and the step of caching includes: that the distributed cache system receives the described of the Relational DBMS transmission
Target data；The distributed cache system judges whether the target data arranges with the data in the distributed cache system
Table matching；If so, caching the target data.
Preferably, the target that the Relational DBMS is sent is received in the distributed cache system
Data, and after the step of caching, the method also includes: distributed coordination system changes nodal value, wherein the distribution
The nodal value of coordination system indicates that the distributed cache system whether there is target data；It is described described point determining when server
When being cached with the target data in cloth caching system, the target data is obtained from the distributed cache system, and add
Add to the step in local cache, comprising: when the nodal value that the server listens to the distributed coordination system is modified
When, it determines and is cached with the target data in the distributed cache system；Described in being obtained from the distributed cache system
Target data, and be added in local cache.
The invention also discloses a kind of data update system, the system comprises: Relational DBMS, distribution
Formula caching system and server；The Relational DBMS, for generating number of targets when there are data update
According to；The distributed cache system, the target data sent for receiving the Relational DBMS, and delay
It deposits；The server, for when determine be cached with the target data in the distributed cache system when, from the distribution
Caching system obtains the target data, and is added in local cache.
Preferably, the Relational DBMS is specifically used for: when there are data update, according to the number updated
According to generation data logging；Target data is obtained according to the data logging.
Preferably, the distributed cache system is specifically used for: receiving what the Relational DBMS was sent
The target data；Judge whether the target data matches with the data list in the distributed cache system；If so, slow
Deposit the target data.
Preferably, the data update system further includes distributed coordination system: distributed coordination system is used for described
After distributed cache system receives the target data that the Relational DBMS is sent and caches, change section
Point value, wherein the nodal value of the distributed coordination system indicates that the distributed cache system whether there is target data；Institute
It states server to be specifically used for: when the nodal value for listening to the distributed coordination system is modified, determine described distributed slow
The target data is cached in deposit system；The target data is obtained from the distributed cache system, and is added to this
In ground caching.
Compared with prior art, the invention has the following advantages that
The data-updating method provided through the embodiment of the present invention, when there are data in Relational DBMS more
When new, target data is generated；Distributed cache system receives the target data that Relational DBMS is sent, and delays
It deposits；When server, which determines, is cached with target data in distributed cache system, number of targets is obtained from distributed cache system
According to and be added in local cache.Data-updating method provided in an embodiment of the present invention, server are determining distributed caching system
After being cached with target data in system, then target data is actively obtained from distributed cache system, without according between preset time
Every poll relational data management system, it not only can reduce server and may be used also to the access pressure of Relational DBMS
To mitigate the access load of server.
Detailed description of the invention
Fig. 1 is a kind of step flow chart of data-updating method of the embodiment of the present invention one；
Fig. 2 is a kind of step flow chart of data-updating method of the embodiment of the present invention two；
Fig. 3 is a kind of structural block diagram of data update system of the embodiment of the present invention three.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
Embodiment one
Referring to Fig.1, a kind of step flow chart of data-updating method of the embodiment of the present invention one is shown.
Data-updating method provided in an embodiment of the present invention the following steps are included:
Step 101: when there are when data update, generating target data in Relational DBMS.
More new data may include: newly added data and legacy data make an amendment after data.Wherein, newly added number
According to user information generated when can be new user in Verification System and complete certification, the data after legacy data is made an amendment can
Think and has authenticated the modified user information of user.
Step 102: distributed cache system receives the target data that Relational DBMS is sent, and caches.
When Relational DBMS has more new data, the target data of update is sent to distributed caching
System, distributed cache system cache target data.
Distributed cache system is one distributed, and the distributed application program coordination service of open source code, it is one
A to provide the software of Consistency service for Distributed Application, the function of providing includes: configuring maintenance, domain name service, distributed same
Step, group service etc..
It is similar to the problem of restarting of server since distributed cache system is not present, uses distributed caching system
Unite caching of target data, can to avoid restarting because of distributed cache system caused by target data loss the problem of.
Step 103: when server, which determines, is cached with target data in distributed cache system, from distributed cache system
Target data is obtained, and is added in local cache.
During specific implementation, a kind of server determines the side that target data whether is cached in distributed cache system
Formula are as follows: it is slow that distributed cache system sends target data after having cached target data, to the corresponding server of the target data
Completion notice is deposited, server can determine according to the notice received is cached with target data in distributed cache system.
It is another are as follows: server monitors in distributed cache system whether be cached with target data.
When server, which determines, is cached with target data in distributed cache system, actively obtained from distributed cache system
Target data is taken, when server gets target data, target data is added for a corresponding local cache under each server
Into local cache.The data-updating method provided through the embodiment of the present invention, when existing in Relational DBMS
When data update, target data is generated；Distributed cache system receives the target data that Relational DBMS is sent
And it caches；When server, which determines, is cached with target data in distributed cache system, mesh is obtained from distributed cache system
Mark data are simultaneously added in local cache.Data-updating method provided in an embodiment of the present invention, server are determining distributed delay
After being cached with target data in deposit system, then actively target data is obtained from distributed cache system, without according to it is default when
Between be spaced poll relational data management system, not only can reduce server to the access pressure of Relational DBMS
The access load of server can also be mitigated.Embodiment two
Referring to Fig. 2, a kind of step flow chart of data-updating method of the embodiment of the present invention two is shown.
Data-updating method provided in an embodiment of the present invention the following steps are included:
Step 201: when, there are when data update, the data according to update generate data in Relational DBMS
Log.
When Relational DBMS is there are when data update, Relational DBMS can be according to update
Data generate data logging.Data logging is the record file or file set for recording system operatio event, has processing
The important function such as historical data, the tracking for diagnosing problem and the activity for understanding system.
Server needs each data in timer access Relational DBMS in the prior art, is updated with obtaining
Data.Server can be determined whether it is according to data each in the Relational DBMS corresponding generation time
The data of update, if the data corresponding generation time before server before access relational database management system,
It can determine the data of itself and non-update；Conversely, if data corresponding generation time access relation type data before server
After base management system, then it can determine that it is the data updated.Server timer access relational data depositary management in the prior art
Each data in reason system when obtaining the data of update, exist and update the incomplete problem of data acquisition.Such as server can
Every the Relational DBMS of access in one minute, if server may in one minute when once being accessed
It can not access to data all in Relational DBMS, finally will be unable to obtain whole more new datas.And
When Relational DBMS is there are when data update in this step, the data of direct basis update generate data logging,
Target data is obtained according to data logging, final goal data are buffered into distributed cache system, and server determines distribution
, can be directly against the target complete data of the acquisition caching of property when being cached with target data in formula caching system, therefore can keep away
Exempt from server and obtains the problem of updating data transformation.
Step 202: target data is obtained according to data logging.
Corresponding data logging is read by the reading manner of Relational DBMS, and data logging is sent
Into message queue, message queue can be fully processed data progress persistent storage until them, therefore will count
It is sent in message queue according to log, it can be to avoid the risk of loss of data.
Specifically, Relational DBMS data logging generated, effect are for recording relational data
Additions and deletions, which change, inside base management system looks into, and has the record of the content of update to Relational DBMS, is based on relationship type
The reading manner of data base management system determines position of the data in Relational DBMS according to data logging,
And the data at the position are obtained as target data.
Step 203: distributed cache system receives the target data that Relational DBMS is sent.
Step 204: distributed cache system judge target data whether with the data list in distributed cache system
Match.
Judge whether target data matches with the data list in distributed cache system, due to working as relational data depositary management
When the data of reason system update, the data of caching required for the data of update not necessarily server, it is therefore desirable to according to
Data list in distributed cache system judges whether target data is the data cached required for the local cache of server.
Specifically, include each mark for needing data in data list, the mark of each target data is arranged with data respectively
Each mark in table is matched, and upon a match, will be identified consistent target data and is determined as and the matched data of data list.
Such as: as the UID (user identification, user's identification) for being identified as user information in data list
When, then judge identifying whether as UID for each target data, if so, the target data be determined as it is matched with data list
Data.
Step 205: if so, caching the target data.
If target data is matched with the data list in distributed cache system, distributed cache system is by caching relation type
The target data that data base management system is sent.
It should be noted that target data is at least one, when target data is multiple, respectively by each target data
Mark matched with the mark of data list, the target data of successful match is cached, when target data be one
When, the mark of the target data is matched with the mark in data list only, works as successful match, by the target data
It is cached.
Step 206: distributed coordination system changes nodal value.
Wherein, the nodal value instruction distributed cache system of distributed coordination system whether there is target data.
Distributed coordination system is used to judge in distributed cache system with the presence or absence of target data.When monitoring distribution
Caching system then changes the nodal value of distributed coordination system there are when target data.Such as: distributed coordination system can supervise
It measures in distributed cache system there are when target data, nodal value is changed to 1, when monitoring in distributed cache system not
There are when target data, nodal value is changed to 0.Specifically, when server obtains target data from distributed cache system
After taking, distributed cache system can delete the target data cached, and correspondingly, distributed coordination system will monitor to be distributed
No longer there is target data in formula caching system.
Distributed cache system is one distributed, and the distributed application program coordination service of open source code, it is one
A to provide the software of Consistency service for Distributed Application, the function of providing includes: configuring maintenance, domain name service, distributed same
Step, group service etc..
Step 207: when the nodal value that server listens to distributed coordination system is modified, determining distributed caching system
Target data is cached in system；Target data is obtained from distributed cache system, and is added in local cache.
When the nodal value that server listens to distributed coordination system is modified, then show to deposit in distributed cache system
It in the target data of update, is updated so that it is determined that the data of Relational DBMS exist, server is slow from distribution
Target data is obtained in deposit system, and is added in local cache.
The data-updating method provided through the embodiment of the present invention, except with data-updating method shown in embodiment one
Outside possessed beneficial effect, whether server can also be altered to confirm by judging the nodal value of distributed coordination system
It whether there is target data in distributed cache system, can be avoided server and blindly access distributed cache system to distribution
Caching system can reduce the accessed pressure of distributed cache system.
Embodiment three
Referring to Fig. 3, a kind of structural block diagram of data update system of the offer of the embodiment of the present invention three is shown.
Data update system provided in an embodiment of the present invention includes: Relational DBMS 301, distributed caching
System 302 and server 303.
The Relational DBMS 301, for generating target data when there are data update；Described point
Cloth caching system 302, for receiving the target data of the Relational DBMS transmission and caching；It is described
Server 303, for delaying from the distribution when server determines and is cached with the target data in distributed cache system
Deposit system obtains the target data, and is added in local cache.
Preferably, the Relational DBMS 301 is specifically used for: when there are data update, according to update
Data generate data logging；Target data is obtained according to the data logging.
Preferably, the distributed cache system 302 is specifically used for: receiving the Relational DBMS 301
The target data sent；Judge whether the target data matches with the data list in the distributed cache system；
If so, caching the target data.
Preferably, the data update system further includes distributed coordination system 304, and distributed coordination system 304 is used for
The target data that the Relational DBMS is sent is received in the distributed cache system 302, and is cached
Later, nodal value is changed, wherein the nodal value of the distributed coordination system indicates that the distributed cache system whether there is
Target data；The server 303 is specifically used for: when the nodal value for listening to the distributed coordination system is modified, really
It is cached with the target data in the fixed distributed cache system, the number of targets is obtained from the distributed cache system
According to, and be added in local cache.
The data update system provided through the embodiment of the present invention, when there are data in Relational DBMS more
When new, target data is generated；Distributed cache system receives the target data that Relational DBMS is sent, and delays
It deposits；Target data is sent to server by distributed cache system；Target data is added in local cache by server.Pass through
Data update system provided in an embodiment of the present invention, after server is cached with target data in determining distributed cache system,
Target data is actively obtained from distributed cache system again, without according to prefixed time interval poll relational data management system
It is negative not only to can reduce the access that server can also mitigate server to the access pressure of Relational DBMS for system
Lotus.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiments, the same or similar parts between the embodiments can be referred to each other.For system embodiment
For, since it is basically similar to the method embodiment, so being described relatively simple, referring to the portion of embodiment of the method in place of correlation
It defends oneself bright.
Above to a kind of data-updating method provided by the present invention and system, it is described in detail, it is used herein
A specific example illustrates the principle and implementation of the invention, and the above embodiments are only used to help understand
Method and its core concept of the invention；At the same time, for those skilled in the art is having according to the thought of the present invention
There will be changes in body embodiment and application range, in conclusion the content of the present specification should not be construed as to the present invention
Limitation.
Claims (8)
1. a kind of data-updating method, which is characterized in that the described method includes:
When there are when data update, generating target data in Relational DBMS；
Distributed cache system receives the target data that the Relational DBMS is sent, and caches；
When server, which determines, is cached with the target data in the distributed cache system, from the distributed cache system
The target data is obtained, and is added in local cache.
2. the method according to claim 1, wherein described when there are data in Relational DBMS
When update, generate target data the step of include:
When, there are when data update, the data according to update generate data logging in Relational DBMS；
Target data is obtained according to the data logging.
3. the method according to claim 1, wherein the distributed cache system receives the relational data
The target data that base management system is sent, and the step of caching includes:
The distributed cache system receives the target data that the Relational DBMS is sent；
The distributed cache system judge the target data whether with the data list in the distributed cache system
Match；
If so, caching the target data.
4. the method according to claim 1, wherein receiving the relationship type number in the distributed cache system
According to the target data that base management system is sent, and after the step of caching, the method also includes:
Distributed coordination system changes nodal value, wherein the nodal value instruction of the distributed coordination system is described distributed slow
Deposit system whether there is target data；
When server, which determines, is cached with the target data in the distributed cache system, from the distributed cache system
The target data is obtained, and is added to the step in local cache, comprising:
When the nodal value that the server listens to the distributed coordination system is modified, the distributed caching system is determined
System is cached with the target data；
The server obtains the target data from the distributed cache system, and is added in local cache.
5. a kind of data update system, which is characterized in that the system comprises: Relational DBMS, distribution are slow
Deposit system and server；
The Relational DBMS, for generating target data when there are data update；
The distributed cache system, the target data sent for receiving the Relational DBMS, and
Caching；
The server, for when determine be cached with the target data in the distributed cache system when, from the distribution
Formula caching system obtains the target data, and is added in local cache.
6. system according to claim 5, which is characterized in that the Relational DBMS is specifically used for: when
There are when data update, data logging is generated according to the data updated；
Target data is obtained according to the data logging.
7. system according to claim 5, which is characterized in that the distributed cache system is specifically used for:
Receive the target data that the Relational DBMS is sent；Judge the target data whether with it is described
Data list matching in distributed cache system；If so, caching the target data.
8. system according to claim 5, which is characterized in that the data update system further includes distributed coordination system
System:
Distributed coordination system is used to receive what the Relational DBMS was sent in the distributed cache system
The target data, and after caching, change nodal value, wherein described point of the nodal value instruction of the distributed coordination system
Cloth caching system whether there is target data.
The server is specifically used for: when the node for listening to the distributed coordination system is modified, determining the distribution
The target data is cached in formula caching system；The target data is obtained from the distributed cache system, and is added
Into local cache.
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| CN113901141A (en) * | 2021-10-11 | 2022-01-07 | 京信数据科技有限公司 | Distributed data synchronization method and system |
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Application publication date: 20190111 |