CN103731507A - Data processing method and device of distributed data storage device - Google Patents
Data processing method and device of distributed data storage device Download PDFInfo
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Abstract
The invention provides a data processing method and device of a distributed data storage device. The data processing method includes that a server receives a data query request which is sent from a client; the distributed data storage device which is used for storing data reported by a data server is clustered by the server and the data are stored corresponding to user identifications; the data which are stored locally are queried according to the user identifications contained in the data query request through the server; the queried data are fed back to the client which sends the data query request. Compared with the prior art, the distributed data storage device is clustered by the server, the plurality of stored data can be stored as a backup, and the data and the user identifications are stored correspondingly. According to the technical scheme, the efficiency of data storage can be improved and consistent storage of the plurality of client data of users can be achieved.
Description
The application number that request the applicant of the present invention submitted on May 2nd, 2013 to China national Department of Intellectual Property is 201310158198.1, denomination of invention is the priority of the Chinese invention patent application of " cloud synchrodata treatment system and method ", and the full content of above-mentioned application is incorporated herein by reference.
Technical field
The present invention relates to data field of synchronization, in particular, relate to a kind of method and device of distributed data memory unit deal with data.
Background technology
Along with the development of internet enters into cybertimes, the importance that user related data is preserved is also more and more important.In most cases, user's related data, can be kept in local client or server as play record, favorites etc.User related data is kept at client and is conducive to user to the obtaining of data, and speed is fast.But these data are kept at client easily loses, and take the disk space of client.If user related data is kept at server, when user obtains these data at every turn so, all to pass through client-requested server, then the inquiry of being correlated with by server, and result is turned back to client, so just cause client to obtain the consequence that data efficiency is low.Due to the fine granularity of data fine granularity, terminal, cause same user data, in the inconsistent problem of different terminals simultaneously.First, user related data is in no service end or different clients, and the consistency that realizes the user data that each terminal represents by ordinary skill is very complicated; Secondly, at the disaster tolerance of client maintenance user related data, can bring extra loss to client; Finally, user related data is kept at service end, and the via net loss bringing is very large.
In current techniques, method of data synchronization is of a great variety, but most of method of data synchronization has only just solved the disaster tolerance that alleviates the load of data server or solved service data.For example, by coordination and the management of resource management server, complete the data synchronization process between client, and alleviate the load of data server.Or, by setting up data buffering system, set up the method for unique caching manager solution service data disaster tolerance.But the problem of the user data consistence that also unresolved different terminals represents.
Summary of the invention
In order to address the above problem, the present invention proposes a kind of method and device of distributed data memory unit deal with data, realizes the consistency that data represent at different terminals.
One aspect of the present invention proposes a kind of method of distributed data memory unit deal with data, comprising:
Server receives the data query request that client sends, and described server is the distributed document memory device cluster of the data that report of save data server;
Server is according to the local data of preserving of described data query requesting query, and by the data feedback of inquiry to the client that sends described data query request.
The device that a kind of distributed data memory unit deal with data is also provided, comprising:
Request reception unit, the data query request sending for receiving client,
Data storage unit is the distributed document memory device cluster of the data that report for save data server;
Data feedback unit, for the local data of preserving of data storage unit described in the data query requesting query receiving according to described request receiving element, and by the data feedback of inquiry to the client that sends described data query request.
In technical scheme provided by the invention, server is distributed document memory device cluster, at save data server, report data time, can back up and preserve the data that many piece of data server reports, and the data of preserving are corresponding with user ID, the user data of each client that server is preserved is consistent, has improved data storage efficiency.。
Accompanying drawing explanation
The schematic flow sheet of the method for the distributed data memory unit deal with data that Fig. 1 provides for the embodiment of the present invention one.
The structural representation of the device of the distributed data memory unit deal with data that Fig. 2 provides for the embodiment of the present invention two.
The structural representation of building MongoDB cluster that Fig. 3 provides for the embodiment of the present invention three.
The structure connection diagram of the MongoDB cluster that Fig. 4 provides for the embodiment of the present invention three.
Embodiment
In order to make object, technical scheme and the advantage of invention clearer, below in conjunction with drawings and the embodiments, the present invention is described in more detail.Be to be understood that described embodiment, only in order to explain the present invention, is not intended to limit the present invention.
In embodiment provided by the invention, for client provides the preferably distributed document memory device cluster of server of service, for example there is the cluster of the server of distributed document stored data base, concrete, this cluster can be the equipment of any support distributed document storage mode, as support the equipment of MongoDB, below, the present invention will carry out as an example of this MongoDB example associated description.
MongoDB divides by NameSpace in data storage, and a Collection is a NameSpace, and an index is also a NameSpace.The data of same NameSpace are divided into a lot of Extent, use doubly linked list to connect between Extent.In each Extent, preserved the data of concrete every a line, these data also fetch connection by Two-way Chain.Every data line memory space not only comprises that data take up room, and also may comprise a part of additional space, this make data Update become large after shift position not.Index is realized with BTree structure.
The cluster with MongoDB equipment is unanimously referred to as to MongoDB server below.
Embodiment mono-
The present embodiment one provides a kind of method of distributed data memory unit deal with data, the method can be applied in anyly to be had in the distributed document memory device of support cluster, application the technical program, can improve the efficiency of server stores data and the efficiency of processing terminal request of data.
Fig. 1 shows the flow chart of the method for the distributed data memory unit deal with data that this programme provides, and as shown in the figure, the flow process of this distributed data memory unit deal with data, comprises the following steps:
In this step 101, MongoDB server is the distributed document memory device cluster of the data that report of save data server, and data respective user sign is preserved, user ID can, for any Data Identification that can characterize each user, be not specifically limited herein.Further, the local data of preserving of MongoDB server, also comprise the data that client directly reports, these data be client to data server send after request of data, the Query Result of data server feedback.
So far, the flow process of distributed data memory unit deal with data finishes.
The technique scheme that this programme provides, MongoDB server can respective user sign save the data in this locality, and be distributed storage, can realize the backup of data, guaranteed the efficiency of data storages, and data respective user sign is preserved, avoided the inconsistent problem of the relative user of data of each client of preserving.
Further, in the step 101 that shown in Fig. 1, flow process comprises, the data that MongoDB server reports except reception data server, can also receive the data that client reports, for example, the data api interface that MongoDB server provides to MongoDB server according to client, data corresponding to asynchronous storage data api interface, and the data synchronizing thread of startup and client, so that the data of client synchronize with MongoDB server local data, and then MongoDB server adopts the method for asynchronous storage that synchronous data are stored in to this locality.Wherein, the data api interface that client provides to MongoDB server, the form that can support according to self provides to MongoDB server, for example, the data api interface that client provides to MongoDB server by specified application, this specified application can be for supporting the application program of WEB access.Further, the data api interface that MongoDB server can provide to MongoDB server according to client, the data of the specified format that reception client provides, for example, according to certain way, form the data of queue, or the data that other form according to predetermined way particularly, repeat herein no longer one by one.
Embodiment bis-
Corresponding said method, the present invention also provides a kind of device of distributed data memory unit deal with data, this device can be applied in anyly to be had in the distributed document memory device of support cluster, application the technical program, can improve the efficiency of server stores data and the efficiency of processing terminal request of data.
Particularly, the structural representation of the device of a kind of distributed data memory unit deal with data as shown in Figure 2, this device comprises:
Request reception unit 201, the data query request sending for receiving client,
Preferably, the data storage unit 202 that the device shown in Fig. 1 comprises, the data that also report for preserving client, these data be client to data server send after request of data, the Query Result of data server feedback.
Preferably, the data storage unit 202 that the device shown in Fig. 1 comprises, specifically for the data api interface providing according to user end to server, data corresponding to asynchronous storage data api interface, start the data synchronizing thread with client.
Preferably, the data storage unit 202 that the device shown in Fig. 1 comprises, the data api interface providing to server by specified application specifically for receiving client.
Preferably, the data storage unit 202 that the device shown in Fig. 1 comprises, specifically for the data api interface providing according to user end to server, the data of the specified format that reception client provides.
The corresponding above-described embodiment one of embodiment tri-and embodiment bis-, the present invention is with customer end A, service end B to MongoDB server report of user data, and it is that example is described in further detail that client C sends request of data to cloud.
Core of the present invention is the structure of cloud.First configure MongoDB server, and dispose many MongoDB servers on backstage, build MongoDB cluster.The employing MongoDB instrument of building of this MongoDB cluster.According to mode as shown in Figure 3, build MongoDB cluster.As shown in Figure 3, the MongoDB cluster of building according to sharding strategy comprises the storage server of routing server, configuration server and storage data, and routing server can obtain its configuration node information to configuration server.We are further explained the present invention in the mode of Fig. 2 below.
1. log-on data node.Be below the optional execution mode of one of starter node, in practical application, can, according to the concrete condition of equipment, select node Starting mode or setting, configuration relevant parameter.
/mongod --fork --dbpath ../data/set1/ --logpath ../log/set1.log --replSet test #192.168.4.43(M)
./mongod --fork --dbpath ../data/set2/ --logpath ../log/set2.log --replSet test #192.168.4.44(S)
./mongod----data (A) are not stored in dbpath ../data/set3/--logpath ../log/set3.log--replSet test #192.168.4.45 decision-making to fork
2. starting configuration node, is below the optional execution mode of one of configuration node, in practical application, can, according to the concrete condition of equipment, select node configuration mode or setting, configuration relevant parameter.
/mongod --configsvr --dbpath ../config/set1/ --port 20001 --fork --logpath ../log/conf1.log #192.168.4.30(C1)
./mongod --configsvr --dbpath ../config/set2/ --port 20002 --fork --logpath ../log/conf2.log #192.168.4.31(C2)
3. start routing node.Below, for starting the optional execution mode of one of routing node, in practical application, can, according to the concrete condition of equipment, select routing node Starting mode or setting, configuration relevant parameter.
/mongos --configdb 192.168.4.30:20001,192.168.4.31:20002 --port 27017 --fork --logpath ../log/root.log #192.168.4.29(R)
Following steps, the subsequent configuration of carrying out for the selected equipment of correspondence, in practical application, below part can adjust accordingly according to actual conditions.
4. configuration Replica Set
./mongo 192.168.4.43:27017 #ip and port are certain addresss of node
>use admin
>cfg={ _id:"testrs", members:[ {_id:0,host:'192.168.4.43:27017',priority:2}, {_id:1,host:'192.168.4.44:27017',priority:1},
{_id:2,host:'192.168.4.45:27017',arbiterOnly:true}] };
>rs.initiate(cfg)
5. configuration Sharding
./mongo 192.168.4.29:27017 # here must connection route node
>sh.addShard (" test/192.168.4.43:27017 ") #test represents that the name of replica set, after host node is added to shard, can find the master in set automatically, standby, decision node
>db.runCommand({enableSharding:"diameter_test"}) #diameter_test is database name
>db.runCommand( { shardCollection: "diameter_test.dcca_dccr_test",key:{"__avpSessionId":1}})
To MongoDB cluster here, just build and be over.
If customer end A and customer end B are all to MongoDB cluster reported data.If the data type kind that customer end A reports is many, customer end A will be set up another thread and carry out data with API and synchronize so.Service end B adopts the mode of queue to carry out asynchronous storage simultaneously.In MongoDB cluster, server is realized WEB application the API of client is adopted to JAVA mode.If MongoDB cluster externally shows a virtual address by LVS mode, if be IP1:202.206.11.104, reported data will be reported to address ip 1 so, then by this data retransmission MongoDB cluster, reach the load balancing of API cluster simultaneously.When client C sends request of data to MongoDB cluster, first by the routing server R in MongoDB cluster, received, the information that routing server R obtains from configuration server by inquiry finds the data storage server at request msg place, and result is returned to request server.The request that here requesting client sends is generally to search nearest cloud by CDN technology, namely MongoDB cluster.If client C is Beijing user, CDN technology will be pointed to Beijing cloud so.
Those skilled in the art are not difficult to find out equally, the present invention is improvements over the prior art, it is the combination that the technical problem for existing in solution prior art is carried out these key elements of the prior art, this combination a large amount of creative work that condensed is the crystallization of a large amount of theoretical researches of inventor and scientific experiment.Before not reading the present invention, those skilled in the art are obviously not easy to expect each scheme of the present invention, and are reading after this specification, and those skilled in the art needn't pay creative work again can realize basic technical scheme of the present invention.
Claims (10)
1. a method for distributed data memory unit deal with data, is characterized in that, comprising:
Server receives the data query request that client sends, and described server is the distributed document memory device cluster of the data that report of save data server, and described data respective user sign is preserved;
The local data of preserving of user ID that server comprises according to described data query request inquiry, and by the data feedback of inquiry to the client that sends described data query request.
2. the method for claim 1, is characterized in that, the local data of preserving of server, comprising:
The data that client reports, these data be client to described data server send after request of data, the Query Result of data server feedback.
3. method as claimed in claim 2, is characterized in that, server receives the data that client reports, and comprising:
The data api interface that server provides to described server according to client, data corresponding to the described data api interface of asynchronous storage, start the data synchronizing thread with client.
4. method as claimed in claim 3, is characterized in that, the data api interface that client provides to described server, comprising:
The data api interface that client provides to described server by specified application.
5. method as claimed in claim 2, is characterized in that, server receives the data that client reports, and comprising:
The data api interface that server provides to described server according to client, the data of the specified format that reception client provides.
6. a device for distributed data memory unit deal with data, is characterized in that, comprising:
Request reception unit, the data query request sending for receiving client,
Data storage unit, is the distributed document memory device cluster of the data that report for save data server, and described data respective user sign is preserved;
Data feedback unit, inquires about the local data of preserving of described data storage unit for the user ID that comprises of data query request receiving according to described request receiving element, and by the data feedback of inquiry to the client that sends described data query request.
7. device as claimed in claim 6, is characterized in that, data storage unit, the data that also report for preserving client, these data be client to described data server send after request of data, the Query Result of data server feedback.
8. device as claimed in claim 7, is characterized in that, data storage unit, and specifically for the data api interface providing according to user end to server, data corresponding to the described data api interface of asynchronous storage, start the data synchronizing thread with client.
9. device as claimed in claim 8, is characterized in that, data storage unit, the data api interface providing to described server by specified application specifically for receiving client.
10. device as claimed in claim 7, is characterized in that, data storage unit, and specifically for the data api interface providing according to user end to server, the data of the specified format that reception client provides.
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