CN102638584B - Data distributing and caching method and data distributing and caching system - Google Patents
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Abstract
The invention relates to the technical field of data management, and provides a data distributing and caching method and a data distributing and caching system. The method comprises the following steps of: during the generation of business data or change of business data, increasing node ID (identification) information for each datum according to a preset allocation strategy, and storing the data in a center database; extracting the business data in the center database, and according the node ID information carried by each datum, distributing the data to corresponding node servers; extracting the data distributed to the node from the node server, and synchronizing to the cache of the node; and accessing each user group into a special node, so that a user can access the business data through the node in a caching way. According to the invention, the data with the same category attribution are divided into one group, and according to a distributing process, the business data with the same attribution are distributed to the cache which is accessed by the user recently, and are provided to the business operators, so that the internal memory occupancy of the cache data to the center database can be reduced, and the access speed of the data can be improved.
Description
Technical field
The present invention relates to data management technique field, particularly a kind of data distributed buffer method and system.
Background technology
At present, at NGB (Next Generation Broadcasting network, Next generation broadcasting network) in field, the broadcast system of radio and television is separate in each area, generally, each territory, local administrative area can be set up a set of relatively independent system and support local broadcast television service.
And under province's planar network architecture of upper level, in order to meet Provincial Broadcast Television system to the unified management of broadcasting and TV business inside the province, realize interconnecting and merging of broadcasting and TV business, need to each independently system integrate, use unified business management system.For the business of broadcasting and TV, after concentrated deployment, need the pressure of dispersion user data access, so need to realize the function of distributed caching.
In the implementation of prior art, generally adopt unified database to manage, all users or business datum are stored in unified database, the direct accessing database of business, data query is realized representing of business datum.When business datum reaches after certain scale; high to power system capacity and performance requirement; for avoiding the limited access bottleneck that causes of throughput of system, conventionally can be further according to type of service, different business datums be stored in respectively and in different databases, improves power system capacity and performance.After the scale of single business datum also acquires a certain degree, can vertically split business datum, business datum is distributed in a plurality of different databases, after business receives request, the different database of access obtains data.
Yet, in realizing process of the present invention, inventor finds, in prior art, business datum is only divided according to type of service, user, need to be according to the different database of different access of request, because the actual access of most users under province's planar network architecture is distant when visit data, only according to type of service dividing data, cannot guarantee user's access speed, so it is relatively low in prior art, to economize under planar network architecture broadcasting and TV business access efficiency.
Summary of the invention
(1) technical problem that will solve
For the shortcoming of prior art, the present invention, in order to solve the low problem of access efficiency in prior art, has proposed a kind of data distributed buffer method and system, has effectively reduced data cachedly to the taking of central database internal memory, and has improved data access speed.
(2) technical scheme
To achieve these goals, on the one hand, the invention provides a kind of data distributed buffer method, described method comprises step:
S1, when generating business datum or business datum and change, increases node ID information according to predefined collocation strategy to each data, stores data in central database;
S2, carries out Data dissemination, the business datum in central database taken out, and the node ID information entrained according to each data, Data dissemination is arrived to corresponding node server;
S3 takes out the data that are distributed to this node from node server, is synchronized in the buffer memory of this node;
S4, is linked into a specific node by each customer group, and user is by these nodal cache access service data.
Preferably, the whole business datums of unified storage in described central database.
Preferably, in step S1, described collocation strategy comprises:
When carrying out the design of traffic aided table, increase the fractionation field of independent of service, as data, be distributed in the foundation of each node;
Identical field value is filled in the table design of identical services group;
While generating business datum, according to the attribute configuration of business, fill the data value of corresponding fractionation field;
Each distributed buffer node, when the data of synchronous this node, is synchronized to the fractionation field value of same alike result in the buffer memory of this node.
Preferably, step S2 further comprises step:
During data change in central database, trigger the trigger in central database, trigger checks the change type of data, the node ID that the data of inquiry change need to be distributed from allocation list, if need distributing data to arrive certain node, generate the logic log of this corresponding node;
Logic log is recorded in data synchronous meter;
Make regular check on the data in data synchronous meter, exist while needing synchronous logic log, from synchronous meter, take out logic log, the logic log of same node is combined in batches, be placed in the work queue of dispatch thread;
By the Context resolution of data synchronous meter, it is corresponding logic log;
From log information in batches, parse the logic log of wall scroll, take out the content of logic log, modification is updated in buffer memory.
Preferably, step S3 further comprises step:
From configuration file, read nodal information, by nodal information, inquire about synchronous condition table;
The condition of inquiry synchrodata is also assembled the SQL statement of synchronous query data;
The data that are synchronized to this node by the SQL statement inquiry of assembling, write the data of inquiry in buffer memory.
Preferably, step S4 further comprises step:
For each distribution node is specified corresponding user group;
When subscriber access system, the server of configure user access is the distribution node at this user place;
Synchronous this user's of distribution node data, for user provides the service for this user.
On the other hand, the present invention also provides a kind of data distributed buffer system simultaneously, and described system comprises central database and at least one distribution node; Wherein,
Described central database is comprised of a plurality of Database Unit, for the whole business datums of unified storage, is also each business datum configuration node id information;
Described in each, distribution node comprises distribution cluster and at least one synchronization server, described distribution cluster is comprised of Distributor, for the business datum of central database is taken out, and the node ID information entrained according to each data, Data dissemination is arrived to corresponding synchronization server; Described synchronization server, for obtaining and be distributed to local data from Distributor, is synchronized in local buffer memory for user's access.
On the one hand, the present invention also provides a kind of data distributed buffer system simultaneously again, and described system comprises:
Data memory module, for when generating business datum or business datum and change, increases node ID information according to predefined collocation strategy to each data, stores data in central database;
Data dissemination module, for carrying out Data dissemination, takes out the business datum in central database, and the node ID information entrained according to each data, and Data dissemination is arrived to corresponding node server;
Data simultaneous module, for take out the data that are distributed to this node from node server, is synchronized in the buffer memory of this node;
Access control module, for each customer group being linked into a specific node, user is by these nodal cache access service data.
Preferably, described data memory module comprises tactful configuration module, and described tactful configuration module further comprises:
Field design module, for when carrying out the design of traffic aided table, increases the fractionation field of independent of service, is distributed in the foundation of each node as data;
Table splits module, for the table design of identical services group is filled to identical field value;
Business splits module, for when generating business datum, fills the data value of corresponding fractionation field according to the attribute configuration of business;
Synchronization policy module, for, being synchronized to the fractionation field value of same alike result in the buffer memory of this node during the data at synchronous this node at each distributed buffer node.
Preferably, described Data dissemination module further comprises:
Daily record generation module, for when the data change of central database, trigger the trigger in central database, trigger checks the change type of data, the node ID that the data of inquiry change need to be distributed from allocation list, if need distributing data to arrive certain node, generate the logic log of this corresponding node;
Logging modle, for being recorded in logic log data synchronous meter;
Poll module, for making regular check on the data of data synchronous meter, exists while needing synchronous logic log, takes out logic log from synchronous meter, and the logic log of same node is combined in batches, is placed in the work queue of dispatch thread;
Table parsing module, for being corresponding logic log by the Context resolution of data synchronous meter;
Log analyzing module, for from log information in batches, parses the logic log of wall scroll, takes out the content of logic log, and modification is updated in buffer memory.
(3) beneficial effect
In the solution of the present invention, the data of identical category attribute are divided into same group of data, then by distribution process, the business datum of same alike result is distributed in the buffer memory of user's recent visit, offering business datum uses, thereby reduce data cachedly to the taking of central database internal memory, improve the access speed of data.
Accompanying drawing explanation
Fig. 1 is the handling process schematic diagram of data distributed buffer method in embodiments of the invention;
Fig. 2 is the structural representation of data distributed buffer system in embodiments of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is a part of embodiment of the present invention, rather than whole embodiment.Embodiment based in the present invention, the every other embodiment that those of ordinary skills obtain under the prerequisite of not making creative work, belongs to the scope of protection of the invention.
A kind of processing method of data distributed buffer is provided in embodiments of the invention, the data of identical category attribute are divided into same group of data, then by distribution process, the business datum of same alike result is distributed in the buffer memory of user's recent visit, offering business datum uses, thereby reduce data cachedly to the taking of central database internal memory, improve the access speed of data.The present invention also can solve the problem of big data quantity access simultaneously, and a kind of processing method of distributed buffer of mass data is provided.Referring to Fig. 1, data distributed buffer method of the present invention comprises step:
S1, when generating business datum or business datum and change, increases node ID information according to predefined collocation strategy to each data, stores data in central database;
S2, carries out Data dissemination, the business datum in central database taken out, and the node ID information entrained according to each data, Data dissemination is arrived to corresponding node server;
S3 takes out the data that are distributed to this node from node server, is synchronized in the buffer memory of this node;
S4, is linked into a specific node by each customer group, and user is by these nodal cache access service data.
Particularly, the scheme adopting in embodiments of the invention is as follows: aspect networking, the mode of employing center networking, Centroid is disposed unified database and is carried out the unified storage of data, the data of each distributed buffer node first persistent storage in the database of Centroid.Data subset in database centered by the data of distributed node, the data of subset can be configured the data of determining in subset according to the needs of business at central database, and the data of each distributed node are the required data of this node.After data change, the data of each distribution node are synchronized to the data of change in each distribution node by distribution process.During service needed visit data, the business datum directly reading in distribution node provides service, and need not be concerned about that business datum is stored in the position in database.According to foregoing description, the key technology of data distributed buffer method of the present invention is mainly divided into following several part: data service distribution, data synchronization distribution and service data visitation are controlled.
First, the major function that data service distribution realizes is the required data of configuration distribution node, and the mode of data based configuration is distributed to each cache node.This step further comprises the steps:
1, when carrying out the design of traffic aided table, increase the field of independent of service, split field, as data, be distributed in the foundation of each node;
2, the table of identical services group can design and fill identical field value;
While 3, generating business datum, according to the attribute configuration of business, fill the data value of corresponding fractionation field;
4, each distributed buffer node, when the data of synchronous this node, is synchronized to the fractionation field value of same alike result in the buffer memory of this node.
For example: in economizing the deployment of net, each districts and cities' node has a node ID, the field of the corresponding independent of service of this node ID meeting, as SplitId, the data of this node need to split while distributing, value to data stuffing SplitId, the data with identical this SplitId value are just synchronized in same node.
The major function of data synchronization distribution is to be responsible for synchronous and distributing data, and synchrodata can, when node initializing, be synchronized to data in buffer memory; The function of Data dissemination is when data change, and the Data dissemination that belongs to certain node is arrived to this corresponding node.So this step is subdivided into again data synchronously or Data dissemination, wherein data synchronously further comprise step:
1, from configuration file, read nodal information, by nodal information, inquire about synchronous condition table, in synchronous condition table, comprise following information: node ID, Table I D, condition ID, synchronous condition value;
2, inquiry synchrodata condition, inquiry according to for by node ID, Table I D, inquire synchronous condition, conditional information is character string forms, form is as " field name=%d and field name=%d ", the value that %d is corresponding is stored in condition table;
3, the SQL statement of assembling synchronous query data, assembling mode, by condition value Writing condition character string, directly passes through the function sprintf function formation SQL statement of c language;
4, the data that are synchronized to this node by the SQL statement inquiry of assembling, write the data of inquiry in buffer memory, i.e. data corresponding to this node.
And Data dissemination further comprises step:
1, during the data change in central database, trigger the trigger in central database, trigger checks that the change type of data comprises insertion, upgrades or deletes, the node ID that the data of inquiry change need to be distributed from allocation list, if need distributing data to arrive certain node, generate the logic log of this corresponding node;
2, logic log is recorded in data synchronous meter, and data synchronous meter comprises following information: serial ID, node ID, Table I D, action type, table name, Major key, major key field name.
3, the distribution process initiation poll thread of distribution node, make regular check on the data in data synchronous meter, exist while needing synchronous logic log, from synchronous meter, take out logic log, the logic log of same node is combined in batches, be placed in the work queue of dispatch thread, wait for that worker thread connects logic log to send to the buffer memory receiving process that node is corresponding by TCP, after worker thread logic log sends successfully, delete in synchronous meter synchronously successful data, and empty the data in queue, then poll thread can continue synchronous logic log to write in queue,
4, there is corresponding corresponding relation in the content of logic log content and data synchronous meter, by corresponding relation, by the Context resolution of data synchronous meter, be corresponding logic log, the logic log content of parsing is: serial ID, node ID, Table I D, action type, Major key, record value; The method that data synchronous meter resolves to logic log is: take out data synchronous meter record, corresponding content is inserted in logic log, as the serial ID of the serial ID counterlogic daily record of table, the corresponding Major key of major key ID, the record value of logic log takes out from database by table name, Major key, major key field name, then according to field type, is assembled into binary record value;
5, receiving process is waited for the logic log information receiving, and from log information in batches, parses the logic log of wall scroll, takes out the content of logic log, and modification is updated in buffer memory; By the setting of major key, can guarantee that daily record repeats and can not to produce data inconsistent.
Finally, service data visitation is controlled the mode that data route is provided, by scope of business on the service server of appointment, thereby can have access to corresponding data.Under the deployment way of center, can be in each distribution node, according to user's attribute, user is linked on the nearest node of user, user data for example, each user belongs to access this user's node, thereby can have access to the data that belong to this node.Access control specifically comprises the steps:
1, the user group of each distribution node service appointment;
2,, during subscriber access system, the server of configuration access is the distribution node server at this user place;
3, synchronous this user's of distribution node data, thus the service to this user can be provided.
Seen from the above description, data distributed buffer system of the present invention as shown in Figure 2, it mainly comprises: central database and at least one distribution node (2 two distribution nodes of distribution node 1 and distribution node of take in Fig. 2 are example), wherein, described central database forms (in Fig. 2, by database 1, to database n, being total to n Database Unit forms) by a plurality of Database Unit, for the whole business datums of unified storage, is also each business datum configuration node id information; Described in each, distribution node comprises distribution cluster and at least one synchronization server, described distribution cluster is comprised of Distributor, for the business datum of central database is taken out, and the node ID information entrained according to each data, Data dissemination is arrived to corresponding synchronization server; Described synchronization server, for obtaining and be distributed to local data from Distributor, is synchronized in local buffer memory for user's access.Wherein, can adopt a plurality of Distributors to build distribution cluster in active and standby mode, in Fig. 2, two Distributors (main frame and standby host) have formed HA (HighAvailable, high availability) group system.The local buffer memory of each synchronization server is with each business datum of format management (shineDB of take in Fig. 2 manages a plurality of business datum business 1, business 2 etc. as example) of database.
In addition, one of ordinary skill in the art will appreciate that, the all or part of step realizing in above-described embodiment method is to come the hardware that instruction is relevant to complete by program, described program can be stored in a computer read/write memory medium, this program is when carrying out, each step that comprises above-described embodiment method, and described storage medium can be: ROM/RAM, magnetic disc, CD, storage card etc.Therefore, corresponding with method of the present invention, the present invention also comprises a kind of data distributed buffer system simultaneously, and this system represents with the form of the functional module corresponding with each step of method conventionally; Described system comprises data memory module, Data dissemination module, data simultaneous module and access control module, wherein,
Data memory module, for when generating business datum or business datum and change, increases node ID information according to predefined collocation strategy to each data, stores data in central database;
Data dissemination module, for carrying out Data dissemination, takes out the business datum in central database, and the node ID information entrained according to each data, and Data dissemination is arrived to corresponding node server;
Data simultaneous module, for take out the data that are distributed to this node from node server, is synchronized in the buffer memory of this node;
Access control module, for each customer group being linked into a specific node, user is by these nodal cache access service data.
Adopt the solution of the present invention, there is following clear superiority:
1, by distributed buffer method provided by the invention, can be configured easily, data are distributed on different distribution nodes, and provide service for the user who is distributed on this node, thereby reduce the data volume on each distribution node, improve the performance of data access;
2, data partition method provided by the invention and business are separate, and the method that provides data to distribute configuration, the realization of code in configuration of simplifying procedures, and a kind of simple method from physical database real-time synchronization data to distributed buffer is provided;
3, by data being distributed to different nodes, can be independently each incoherent node by system, thereby reduce interdepending of each node, simplify the realization of system, reduce the configuration of each node server, reduce the cost of system group network.
Above execution mode is only for illustrating the present invention; and be not limitation of the present invention; the those of ordinary skill in relevant technologies field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all technical schemes that are equal to also belong to category of the present invention, and invention protection range of the present invention should be defined by the claims.
Claims (8)
1. a data distributed buffer method, is characterized in that, described method comprises step:
S1, when generating business datum or business datum and change, increases node ID information according to predefined collocation strategy to each data, stores data in central database;
S2, carries out Data dissemination, the business datum in central database taken out, and the node ID information entrained according to each data, Data dissemination is arrived to corresponding node server;
S3 takes out the data that are distributed to this node from node server, is synchronized in the buffer memory of this node;
S4, is linked into a specific node by each customer group, and user is by these nodal cache access service data;
Wherein, in step S1, described collocation strategy comprises:
When carrying out the design of traffic aided table, increase the fractionation field of independent of service, as data, be distributed in the foundation of each node;
Identical field value is filled in the table design of identical services group;
While generating business datum, according to the attribute configuration of business, fill the data value of corresponding fractionation field;
Each distributed buffer node, when the data of synchronous this node, is synchronized to the fractionation field value of same alike result in the buffer memory of this node.
2. method according to claim 1, is characterized in that, the whole business datums of unified storage in described central database.
3. method according to claim 1, is characterized in that, step S2 further comprises step:
During data change in central database, trigger the trigger in central database, trigger checks the change type of data, the node ID that the data of inquiry change need to be distributed from allocation list, if need distributing data to arrive certain node, generate the logic log of this corresponding node;
Logic log is recorded in data synchronous meter;
Make regular check on the data in data synchronous meter, exist while needing synchronous logic log, from synchronous meter, take out logic log, the logic log of same node is combined in batches, be placed in the work queue of dispatch thread;
By the Context resolution of data synchronous meter, it is corresponding logic log;
From log information in batches, parse the logic log of wall scroll, take out the content of logic log, modification is updated in buffer memory.
4. method according to claim 1, is characterized in that, step S3 further comprises step:
From configuration file, read nodal information, by nodal information, inquire about synchronous condition table;
The condition of inquiry synchrodata is also assembled the SQL statement of synchronous query data;
The data that are synchronized to this node by the SQL statement inquiry of assembling, write the data of inquiry in buffer memory.
5. method according to claim 1, is characterized in that, step S4 further comprises step:
For each distribution node is specified corresponding user group;
When subscriber access system, the server of configure user access is the distribution node at this user place;
Synchronous this user's of distribution node data, for user provides the service for this user.
6. a data distributed buffer system, is characterized in that, described system comprises central database and at least one distribution node; Wherein,
Described central database is comprised of a plurality of Database Unit, for the whole business datums of unified storage, is also each business datum configuration node id information;
Described in each, distribution node comprises distribution cluster and at least one synchronization server, described distribution cluster is comprised of Distributor, for the business datum of central database is taken out, and the node ID information entrained according to each data, Data dissemination is arrived to corresponding synchronization server; Described synchronization server, for obtaining and be distributed to local data from Distributor, is synchronized in local buffer memory for user's access;
Described Distributor specifically for, carrying out traffic aided table when design, increase the fractionation field of independent of service, as data, be distributed in the foundation of each node;
Identical field value is filled in the table design of identical services group;
While generating business datum, according to the attribute configuration of business, fill the data value of corresponding fractionation field;
Each distributed buffer node, when the data of synchronous this node, is synchronized to the fractionation field value of same alike result in the buffer memory of this node.
7. a data distributed buffer system, is characterized in that, described system comprises:
Data memory module, for when generating business datum or business datum and change, increases node ID information according to predefined collocation strategy to each data, stores data in central database;
Data dissemination module, for carrying out Data dissemination, takes out the business datum in central database, and the node ID information entrained according to each data, and Data dissemination is arrived to corresponding node server;
Data simultaneous module, for take out the data that are distributed to this node from node server, is synchronized in the buffer memory of this node;
Access control module, for each customer group being linked into a specific node, user is by these nodal cache access service data;
Wherein, described data memory module comprises tactful configuration module, and described tactful configuration module further comprises:
Field design module, for when carrying out the design of traffic aided table, increases the fractionation field of independent of service, is distributed in the foundation of each node as data;
Table splits module, for the table design of identical services group is filled to identical field value;
Business splits module, for when generating business datum, fills the data value of corresponding fractionation field according to the attribute configuration of business;
Synchronization policy module, for, being synchronized to the fractionation field value of same alike result in the buffer memory of this node during the data at synchronous this node at each distributed buffer node.
8. system according to claim 7, is characterized in that, described Data dissemination module further comprises:
Daily record generation module, for when the data change of central database, trigger the trigger in central database, trigger checks the change type of data, the node ID that the data of inquiry change need to be distributed from allocation list, if need distributing data to arrive certain node, generate the logic log of this corresponding node;
Logging modle, for being recorded in logic log data synchronous meter;
Poll module, for making regular check on the data of data synchronous meter, exists while needing synchronous logic log, takes out logic log from synchronous meter, and the logic log of same node is combined in batches, is placed in the work queue of dispatch thread;
Table parsing module, for being corresponding logic log by the Context resolution of data synchronous meter;
Log analyzing module, for from log information in batches, parses the logic log of wall scroll, takes out the content of logic log, and modification is updated in buffer memory.
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Families Citing this family (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102916974A (en) * | 2012-11-07 | 2013-02-06 | 曙光信息产业股份有限公司 | Cluster configuration updating method |
| WO2014094234A1 (en) * | 2012-12-18 | 2014-06-26 | Empire Technology Development Llc | Data caching based on social characteristics of users |
| CN103440288A (en) * | 2013-08-16 | 2013-12-11 | 曙光信息产业股份有限公司 | Big data storage method and device |
| CN103595776A (en) * | 2013-11-05 | 2014-02-19 | 福建网龙计算机网络信息技术有限公司 | Distributed type caching method and system |
| CN103916479B (en) * | 2014-04-15 | 2017-05-03 | 大连理工大学 | Cloud synchronous local area network accelerating system based on working group document |
| CN104408056B (en) * | 2014-10-29 | 2020-09-15 | 中国建设银行股份有限公司 | Data processing method and device |
| CN105630812A (en) * | 2014-10-30 | 2016-06-01 | 阿里巴巴集团控股有限公司 | Refreshing method and device of cluster application cache |
| WO2016070364A1 (en) * | 2014-11-05 | 2016-05-12 | 华为技术有限公司 | Data distribution method, loader and storage system |
| CN104822076A (en) * | 2015-04-14 | 2015-08-05 | 天脉聚源(北京)传媒科技有限公司 | Data distribution method and device thereof |
| CN105357314A (en) * | 2015-12-03 | 2016-02-24 | 厦门速卖通网络科技有限公司 | Fixed point distributed cache system and cache method thereof |
| CN107015758A (en) * | 2016-01-28 | 2017-08-04 | 胡敏 | A kind of new distribution type memory buffers accelerated method |
| CN106202437A (en) * | 2016-07-14 | 2016-12-07 | 上海超橙科技有限公司 | A kind of data managing method and equipment |
| CN106713470A (en) * | 2016-12-29 | 2017-05-24 | 北京奇艺世纪科技有限公司 | Distributed cache updating method and cache updating system |
| CN107200248B (en) * | 2017-05-22 | 2019-06-07 | 安徽奥里奥克科技股份有限公司 | A kind of elevator Internet of Things operation real-time monitoring system based on cloud platform |
| CN107426304A (en) * | 2017-07-06 | 2017-12-01 | 努比亚技术有限公司 | Method, system and the proxy server of interactive media resource |
| CN108401026B (en) * | 2018-02-26 | 2020-06-19 | 深圳智乾区块链科技有限公司 | Block chain-based data storage method, system and computer-readable storage medium |
| CN110557269B (en) * | 2018-05-31 | 2022-09-06 | 阿里巴巴集团控股有限公司 | Service data processing method and system and data processing method |
| CN109446271B (en) * | 2018-10-31 | 2023-02-14 | 创新先进技术有限公司 | Data synchronization method, device, equipment and medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101826073A (en) * | 2009-03-06 | 2010-09-08 | 华为技术有限公司 | Synchronous method, apparatus and system for distributed database |
| CN102006330A (en) * | 2010-12-01 | 2011-04-06 | 北京瑞信在线***技术有限公司 | Distributed cache system, data caching method and inquiring method of cache data |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7010645B2 (en) * | 2002-12-27 | 2006-03-07 | International Business Machines Corporation | System and method for sequentially staging received data to a write cache in advance of storing the received data |
-
2012
- 2012-04-20 CN CN201210118227.7A patent/CN102638584B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101826073A (en) * | 2009-03-06 | 2010-09-08 | 华为技术有限公司 | Synchronous method, apparatus and system for distributed database |
| CN102006330A (en) * | 2010-12-01 | 2011-04-06 | 北京瑞信在线***技术有限公司 | Distributed cache system, data caching method and inquiring method of cache data |
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