CN104881766A - Distributed storage data processing method, device, and system - Google Patents
Distributed storage data processing method, device, and system Download PDFInfo
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Abstract
The invention discloses a distributed storage data processing method comprising: receiving service data from a service end device and storing the service data locally, wherein the service data comprises a plurality of data packets and each data packet is provided with a unique identifier; after the local data packets are operated, transmitting an operation result to the service end device and updating the version numbers of the local data packets; broadcasting the latest version numbers of the local data packets to other client devices; and receiving the versions of the data packets broadcasted by the service end device and other client devices and correspondingly updating the local data packets and the version numbers thereof. The invention also discloses a client device, a service end device, and a distributed storage data processing system. The method may optimize a storage system data processing flow.
Description
Technical field
The present invention relates to storage technique field, be specifically related to a kind of distributed storage data disposal route, equipment and system.
Background technology
No matter be traditional retailer or electric commercial business industry, the quality of supply chain is all one of important determinative of its success or failure, in supply chain, an extremely important ring is warehousing system, the response speed of warehousing system directly affects the response speed of whole supply chain, and remote effect customer experience and company's entirety adopt pin strategy.Common warehousing system mainly contains two kinds, Fig. 1 and Fig. 2 respectively illustrates both system architecture, Fig. 1 all disposes a whole set of warehousing system and database at each warehouse (as Bei Jingcang, Shang Haicang), dispose combined data storehouse at server end, each warehouse end and server end form whole warehousing system simultaneously; Server and centralized database are deployed in a place by Fig. 2, and strange land server is directly accessed by its client or website in warehouse, various places, perform storage function.But adopt the mode of Fig. 1 to need deployment server and database how, input cost is high, and versions of data is difficult to management; When adopting the mode of Fig. 2 to work, various places storehouse needs remote access server, and access process is by the restriction of network condition, and access speed and availability can not be guaranteed.
Summary of the invention
In view of this, the present invention proposes a kind of distributed storage data disposal route, equipment and system, and warehouse client is not rely on service end data completely, but is in the state of Partial synchronization with service end, and client operation response is fast.
The invention provides a kind of distributed storage data disposal route, comprising: receive the business datum from server device and be stored in this locality, wherein business datum comprises some packets, and each packet has unique identifier; In local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading; The latest edition of this local packets is broadcasted to other client devices; Receive the packet version of described server device and other client devices described broadcast, correspondingly upgrade local packets and version number thereof.
Preferably, the method also comprises: receive the data analysis task that described server device issues, and performs described data analysis task, after analysis, result is sent to described server device based on local data.
The present invention also provides a kind of distributed storage data disposal route, comprising: split business datum according to running node, business datum is split as some packets, is the identifier that each allocation of packets is unique; Packet is handed down to the client device in each running node, the corresponding relation of record packet and client device; Receive the packet version from all client devices, correspondingly upgrade local packets and version number thereof; The latest edition of this local packets is broadcasted to all client devices.
Preferably, wherein said running node comprises at least two in the following: check and accept node, added node, stock's node, picking node, sender node.
Preferably, the method also comprises: set up data analysis task according to user's request, estimates the duration completing this data analysis required by task.
Preferably, the method also comprises: when estimating duration and being less than or equal to predetermined threshold value, performs described data analysis task based on local data, after analysis by result feedback to user; When estimating duration and being greater than predetermined threshold value, described data analysis task is split as some subtasks, regarding client devices is handed down in each subtask; Wherein, when splitting described data analysis task, the partial resolution relating to the packet that single client device is held in data analysis task is a subtask by the situation of the bag that holds data according to each client device.
Preferably, the method also comprises: receive the analysis result for subtask that each client device sends, then analysis result is fed back to user.
The present invention also provides a kind of client device, comprising: data reception module, and be stored in this locality for the business datum that receives from server device, wherein business datum comprises some packets, and each packet has unique identifier; Data transmission blocks, in local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading; Data broadcast module, for broadcasting the latest edition of this local packets to other client devices; Data update module, for receiving the packet version of described service end and other client devices described broadcast, correspondingly upgrades local packets and version number thereof.
The present invention also provides a kind of server device, comprising: Data Division module, for splitting business datum according to running node, business datum is split as some packets, is the identifier that each allocation of packets is unique; Data distributing module, for packet being handed down to the client device in each running node, the corresponding relation of record packet and client device; Data reception module, for receiving the packet version from all client devices, correspondingly upgrades local packets and version number thereof; Data broadcast module, for broadcasting the latest edition of this local packets to all client devices.
The present invention also provides a kind of distributed storage data disposal system, comprise: server device and at least two client devices, wherein, described server device is used for splitting business datum according to running node, business datum is split as some packets, is the identifier that each allocation of packets is unique; Packet is handed down to the client device in each running node, the corresponding relation of record packet and client device; Receive the packet version from all client devices, correspondingly upgrade local packets and version number thereof; The latest edition of this local packets is broadcasted to all client devices; Described client device is for the business datum that receives from server device and be stored in this locality, and wherein business datum comprises some packets, and each packet has unique identifier; In local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading; The latest edition of this local packets is broadcasted to other client devices; Receive the packet version of described server device and other client devices described broadcast, correspondingly upgrade local packets and version number thereof.
Beneficial effect: the distributed storage data processing scheme utilizing the embodiment of the present invention, warehouse client is made to be not rely on service end data completely, but be in the state of Partial synchronization with service end, both client computational resource had been taken full advantage of, avoid the great expense that various places divide storehouse to dispose, solve again to concentrate to dispose and affect serious problem by network condition, front man uses the terminal device operation response speed of the embodiment of the present invention fast, and operating experience gets a promotion.
Accompanying drawing explanation
Fig. 1 and Fig. 2 is two kinds of typical warehousing system Organization Charts in prior art.
Fig. 3 is a kind of typical storehouse client Organization Chart in prior art.
Fig. 4 is the FB(flow block) of the distributed storage data disposal route of the embodiment of the present invention in client.
Fig. 5 is the FB(flow block) of the distributed storage data disposal route of the embodiment of the present invention in service end.
Fig. 6 and Fig. 7 is client device and the service end equipment structure chart of the embodiment of the present invention respectively.
Fig. 8 is the distributed storage data disposal system structural drawing of the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment, technical scheme of the present invention is described in detail.
Fig. 3 schematically illustrates the Warehouse System used in warehouse in a kind of typical warehousing system, according to different operation flows, Warehouse System has " examination ", " added ", " stock ", the running node such as " picking " and " delivery ", staff on each node carries out business processing by local client, to service end upload and download data, service end managerial personnel carry out unified management scheduling.
Fig. 4 shows the distributed storage data disposal route of the embodiment of the present invention in the process flow block diagram of client, comprising:
S101, receives the business datum from server device and is stored in this locality, and wherein business datum comprises some packets, and each packet has unique identifier;
S102, in local packets after operation, sends to server device by operating result, and the version number of this local packets of upgrading;
S103, broadcasts the latest edition of this local packets to other client devices;
S104, receives the packet version of server device and the broadcast of other client devices, correspondingly upgrades local packets and version number thereof.
Fig. 5 shows the distributed storage data disposal route of the embodiment of the present invention in the process flow block diagram of service end, comprising:
S201, splits business datum according to running node, and business datum is split as some packets, is the identifier that each allocation of packets is unique;
S202, is handed down to the client device in each running node by packet, the corresponding relation of record packet and client device;
S203, receives the packet version from client device, correspondingly upgrades local packets and version number thereof;
S204, broadcasts the latest edition of this local packets to all client devices.
In practical application scene, first, all Data Divisions are become the packet of fair-sized by service group, and are the unique mark of each allocation of packets.Disassembly principle is: split according to each running node in the business scenario specifically used and system, the Data Division that each running node relates to is a packet.
During work, the business personnel of each client, according to the conventional operation of this client node, downloads relevant packet from service end, is stored in this locality, and service group records the bag situation of each client storage according to package identification token.Business personnel directly uses local data when client carries out data manipulation, after having operated, the final data result after operation is issued service group, also local packets version number is upgraded.Meanwhile, the packet version in LAN (Local Area Network) after broadcast upgrading, the version of the identical bag (identifier is identical) other clients held all is upgraded.
On the other hand, after service group receives the operating result that client sends, record this operating result, simultaneously by packet edition upgrading corresponding in service group, and to the up-to-date bag version (client is upgraded to the bag version of this locality accordingly) of all client broadcast, guarantee that the packet version of identical identifier in all clients in system is consistent.If the packet of certain client does not meet latest edition number, also can manually download up-to-date bag storage of versions in this locality by staff.
With " added " process for example, all are treated upper rack data by first service group, according to different mechanisms and storehouse,---such as " Shenyang-3C storehouse "---splits into different packets, if Shenyang-3C storehouse has client's side link to server, and this client carried out " added " business at ordinary times, then the corresponding data bag that download service assembling and dismantling divided of this client, is stored into this locality.
Afterwards, when business personnel uses this client to carry out added operation, client directly uses the local packet downloaded to carry out " added " operation, such as now contain altogether 100 commodity in local packets, business personnel to wherein one carried out " added ", now, local packet can be changed into 99 and treat added, and 1 added.The now change of packet is exactly from treating to subtract 1 added commodity, and produce the added of 1 quantity, client just by these 2 variations, is issued service group, the version number of self added 1 simultaneously simultaneously.
After service group receives change, original 100 are treated in the packet that frame commodity are corresponding, cut 1 commodity, the version number of packet is added 1 simultaneously.The data variation of this packet and version number's change are sent to all clients holding this packet simultaneously, notify that it changes.
Except former 100 treat the packet of added commodity except, what service group also have received 1 commodity goes up rack data, and these data do not belong to any known packet now.Service group now can have two selections: one is by the new upper rack data of these 1 commodity, being considered as is the change of a known added packet, this packet acts on this change, and will change and version change, notify all clients holding this packet; Two be using these data as a new packet, distribute to relative clients end.
Further, when managerial personnel need to carry out some analysis to system data, the distributed storage data disposal route of the embodiment of the present invention also provides a kind of analytical model of optimization.
Specifically, when needs carry out statistical study to data, such as to statistical study such as sales data, goods data on stock, first service group carries out anticipation to analysis demand, for can (relate to that tables of data is few, data volume is little, inquiry duration shorter) of express-analysis, directly by the data analysis in service group use service group, after analysis by result feedback to managerial personnel.
Wherein, for (relate to that tables of data is many, data volume be large, inquiry duration longer) that can not carry out express-analysis, service group supports bag situation according to current client, bulk analysis demand being split as packet that each client holds can the little analytic unit of complete independently, is handed down to the client holding associated packet; After client receives analysis demand, statistics this locality holds data information, to data analysis, after analysis by result feedback to service group, overall result is fed back to managerial personnel after obtaining whole analysis result by service group.
Correspondingly, the present invention also provides a kind of client device 100, and with reference to figure 6, it comprises:
Data reception module 10, be stored in this locality for the business datum that receives from server device, wherein business datum comprises some packets, and each packet has unique identifier;
Data transmission blocks 12, in local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading;
Data broadcast module 14, for broadcasting the latest edition of this local packets to other client devices;
Data update module 16, for receiving the packet version of described service end and other client devices described broadcast, correspondingly upgrades local packets and version number thereof.
On the other hand, the present invention also provides a kind of server device 200, and with reference to figure 7, it comprises:
Data Division module 20, for splitting business datum according to running node, is split as some packets by business datum, is the identifier that each allocation of packets is unique;
Data distributing module 22, for packet being handed down to the client device in each running node, the corresponding relation of record packet and client device;
Data reception module 24, for receiving the packet version from all client devices, correspondingly upgrades local packets and version number thereof;
Data broadcast module 26, for broadcasting the latest edition of this local packets to all client devices.
Again on the one hand, the present invention also provides a kind of distributed storage data disposal system 300, and with reference to figure 8, it comprises: server device and at least two client devices, wherein,
Server device is used for splitting business datum according to running node, and business datum is split as some packets, is the identifier that each allocation of packets is unique; Packet is handed down to the client device in each running node, the corresponding relation of record packet and client device; Receive the packet version from all client devices, correspondingly upgrade local packets and version number thereof; The latest edition of this local packets is broadcasted to all client devices;
Client device is for the business datum that receives from server device and be stored in this locality, and wherein business datum comprises some packets, and each packet has unique identifier; In local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading; The latest edition of this local packets is broadcasted to other client devices; Receive the packet version of described server device and other client devices described broadcast, correspondingly upgrade local packets and version number thereof.
Above, be described in detail in conjunction with specific embodiments to technical scheme of the present invention, described specific embodiment understands thought of the present invention for helping.The derivation that those skilled in the art make on the basis of the specific embodiment of the invention and modification also belong within scope.
Claims (15)
1. a distributed storage data disposal route, is characterized in that, comprising:
Receive the business datum from server device and be stored in this locality, wherein business datum comprises some packets, and each packet has unique identifier;
In local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading;
The latest edition of this local packets is broadcasted to other client devices;
Receive the packet version of described server device and other client devices described broadcast, correspondingly upgrade local packets and version number thereof.
2. distributed storage data disposal route as claimed in claim 1, it is characterized in that, also comprise: receive the data analysis task that described server device issues, perform described data analysis task based on local data, after analysis, result is sent to described server device.
3. a distributed storage data disposal route, is characterized in that, comprising:
Splitting business datum according to running node, business datum is split as some packets, is the identifier that each allocation of packets is unique;
Packet is handed down to the client device in each running node, the corresponding relation of record packet and client device;
Receive the packet version from all client devices, correspondingly upgrade local packets and version number thereof;
The latest edition of this local packets is broadcasted to all client devices.
4. distributed storage data disposal route as claimed in claim 3, it is characterized in that, wherein said running node comprises at least two in the following: check and accept node, added node, stock's node, picking node, sender node.
5. distributed storage data disposal route as claimed in claim 3, is characterized in that, also comprise: set up data analysis task according to user's request, estimate the duration completing this data analysis required by task.
6. distributed storage data disposal route as claimed in claim 5, is characterized in that, also comprise:
When estimating duration and being less than or equal to predetermined threshold value, perform described data analysis task based on local data, after analysis by result feedback to user;
When estimating duration and being greater than predetermined threshold value, described data analysis task is split as some subtasks, regarding client devices is handed down in each subtask; Wherein,
When splitting described data analysis task, the partial resolution relating to the packet that single client device is held in data analysis task is a subtask by the situation of the bag that holds data according to each client device.
7. distributed storage data disposal route as claimed in claim 6, is characterized in that, also comprise: receive the analysis result for subtask that each client device sends, then analysis result is fed back to user.
8. a client device, is characterized in that, comprising:
Data reception module, be stored in this locality for the business datum that receives from server device, wherein business datum comprises some packets, and each packet has unique identifier;
Data transmission blocks, in local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading;
Data broadcast module, for broadcasting the latest edition of this local packets to other client devices;
Data update module, for receiving the packet version of described service end and other client devices described broadcast, correspondingly upgrades local packets and version number thereof.
9. client device as claimed in claim 8, it is characterized in that, also comprise: data analysis module, for receiving the data analysis task that described server device issues, perform described data analysis task based on local data, after analysis, result is sent to described server device.
10. a server device, is characterized in that, comprising:
Data Division module, for splitting business datum according to running node, is split as some packets by business datum, is the identifier that each allocation of packets is unique;
Data distributing module, for packet being handed down to the client device in each running node, the corresponding relation of record packet and client device;
Data reception module, for receiving the packet version from all client devices, correspondingly upgrades local packets and version number thereof;
Data broadcast module, for broadcasting the latest edition of this local packets to all client devices.
11. server device as claimed in claim 10, it is characterized in that, wherein said running node comprises at least two in the following: check and accept node, added node, stock's node, picking node, sender node.
12. server device as claimed in claim 10, is characterized in that, also comprise: task creation processing module, for setting up data analysis task according to user's request, estimating the duration completing this data analysis required by task.
13. server device as claimed in claim 12, is characterized in that, also comprise:
Tasks carrying processing module, for when estimating duration and being less than or equal to predetermined threshold value, performs described data analysis task based on local data, after analysis by result feedback to user;
Task deconsolidation process module, for when estimating duration and being greater than predetermined threshold value, is split as some subtasks by described data analysis task, regarding client devices is handed down in each subtask; Wherein,
When splitting described data analysis task, the partial resolution relating to the packet that single client device is held in data analysis task is a subtask by the situation of the bag that holds data according to each client device.
14. server device as claimed in claim 13, is characterized in that, also comprise: result feedback module, for receiving the analysis result for subtask that each client device sends, and analysis result are fed back to user.
15. 1 kinds of distributed storage data disposal systems, is characterized in that, comprising: server device and at least two client devices, wherein,
Described server device is used for splitting business datum according to running node, and business datum is split as some packets, is the identifier that each allocation of packets is unique; Packet is handed down to the client device in each running node, the corresponding relation of record packet and client device; Receive the packet version from all client devices, correspondingly upgrade local packets and version number thereof; The latest edition of this local packets is broadcasted to all client devices;
Described client device is for the business datum that receives from server device and be stored in this locality, and wherein business datum comprises some packets, and each packet has unique identifier; In local packets after operation, operating result is sent to described server device, and the version number of this local packets of upgrading; The latest edition of this local packets is broadcasted to other client devices; Receive the packet version of described server device and other client devices described broadcast, correspondingly upgrade local packets and version number thereof.
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Application publication date: 20150902 |