Specific embodiment
In order to make those skilled in the art more fully understand disclosure scheme, below in conjunction with the exemplary implementation of the disclosure
Attached drawing in example, is clearly and completely described the technical solution in disclosure exemplary embodiment.
In some processes of the description in the specification and claims of the disclosure and above-mentioned attached drawing, contain according to
Multiple operations that particular order occurs, but it should be clearly understood that these operations can not be what appears in this article suitable according to its
Sequence is executed or is executed parallel, and serial number of operation such as 101,102 etc. is only used for distinguishing each different operation, serial number
It itself does not represent and any executes sequence.In addition, these processes may include more or fewer operations, and these operations can
To execute or execute parallel in order.It should be noted that the description such as " first " herein, " second ", is for distinguishing not
Same message, equipment, module etc., does not represent sequencing, does not also limit " first " and " second " and be different type.
Below in conjunction with the attached drawing in disclosure exemplary embodiment, to the technical solution in disclosure exemplary embodiment
It being clearly and completely described, it is clear that described exemplary embodiment is only disclosure a part of the embodiment, rather than
Whole embodiments.Based on the embodiment in the disclosure, those skilled in the art institute without creative efforts
The every other embodiment obtained belongs to the range of disclosure protection..
Fig. 1 shows the flow chart of the data model upgrade method according to one embodiment of the disclosure.This method may include
Step S101, S102 and S103.
In step s101, while executing business operation, the current data model state of detection service device, current number
It is the old data model state not upgraded, the process status in escalation process and completion escalation process according to model state
One of new data model state.
In step s 102, when detecting the first preset condition, current data model state is in old data model
The server push of state is sent to process status.
In step s 103, according to the current data model state of server, using corresponding with current data model state
Data model for business operation carry out data processing, wherein when server current data model state be process status
When, one of new data model and old data model are applied respectively by business operation of the account dimension to account.
In embodiment of the disclosure, a kind of " old data model state (initial state)-process status (process is proposed
State)-new data model state (final state) " data model upgrading scheme, breach distributed system business limited scalability
In the bottleneck of data model.That is, it is considered that being based on " initial according to the data model upgrading scheme of embodiment of the present disclosure
The upgrading scheme of the state machine of state-process state-final state ".
In embodiment of the present disclosure, the data processing model of server is upgraded although only referring to, this
Field technical staff, which is appreciated that, is equally applicable to server set according to the data model upgrading scheme of embodiment of the present disclosure
Group, the server cluster or distributed server cluster either concentrated.Therefore, in embodiment of the present disclosure, service
Device may refer to server cluster.
It is write according to the data model upgrading scheme of embodiment of the present disclosure without prohibiting, it therefore, can be in the business of execution behaviour
While work, the current data model state of detection service device is to carry out corresponding operation.
According in embodiment of the present disclosure, the first preset condition can be the server in old data model state
In preset time point, the server in old data model state is in preset upgrading batch, and server receives upgrading
Instruction etc..
According in embodiment of the present disclosure, the current data model state of server can be current data model shape
State is the old data model state not upgraded, the process status in escalation process and the new data mould for completing escalation process
One of type state.
In disclosure embodiment, by while executing business operation, the current data model of detection service device
State, the current data model state are old data model state, the process status in escalation process not upgraded
With one of the new data model state for completing escalation process;When detecting the first preset condition, by current data model state
Server push in old data model state is sent to process status;According to the current data model state of the server, benefit
Data processing is carried out for the business operation with data model corresponding with the current data model state, wherein works as institute
When the current data model state for stating server is process status, application newly counts the business operation by account dimension to account respectively
According to one of model and old data model, upgrading complexity can be reduced, data model upgrading is carried out with account dimension.Moreover, right
Incremental data directly uses new data model, guarantees to can reach data model in process status consistent.Moreover, according to the disclosure
The data model upgrading scheme of embodiment may be implemented it is lossless, unattended, be not required to prohibit write, the data mould of user's unaware
Type upgrades, and manpower intervention is not needed in escalation process, upgrading risk is very low and saves manpower.
According in embodiment of the present disclosure, when the current data model state of server is old data model state
When, corresponding operating is carried out only with old data model, and when detecting the first preset condition, by current data model state
Server push in old data model state is sent to process status.Therefore, the state that the data model of server is upgraded
It is exactly process status.When the current data model state of server is process status, grasped by business of the account dimension to account
Make to apply one of new data model and old data model respectively.That is, when the current data model state of server is process status
When, do not take a step to be switched to the operation of new data model the account not upgraded, but it is directed to different business operations, it answers
With one of new data model and old data model.It avoids to be switched to new data model from old one step of data model in this way and lead
Obvious perception of the risk and user of cause to upgrading.When the current data model state of server is new data model state
When, corresponding operating is carried out only with new data model.
In one embodiment of the present disclosure, step S103 includes: the process status according to server, for account whether
Completed upgrading, in the action type for the business operation of data type and account that the business operation of account is related at least
One of, one of new data model and old data model are applied respectively to the business operation of the account.
Figure 11 shows the schematic diagram of the implementation principle of the data model upgrading scheme according to one embodiment of the disclosure.
As shown in figure 11, when handling in the server a business operation, and the current data mould of server
It is unified to be operated according to data of the old data model to this business when type state is old data model state (I state).When
A business operation is handled in the server, and the current data model state of server is new data model state
It is unified to be operated according to data of the new data model to this business when (S state).When in the server to a business behaviour
It is handled, and when the current data model state of server is process status (P-state), it is whether complete for account
At least one of the action type of business operation of data type and account being related at the business operation of upgrading, account,
One of new data model and old data model are applied respectively to the business operation of the account.
Specifically, server current data model state be process status (P-state) present case under, work as industry
When the data of business operation are state type data, for increasing the operation of state type data newly, data are inserted into according to new data model;It is right
In modification state type data operation, judge whether the targeted account of the operation is completed to upgrade, if complete upgrading if according to
New data model modification data, and according to old data model more new data if not completing upgrading;For inquiring state type
The operation of data inquires data according to old data model.In embodiment of the disclosure, state type data are stateful, more
Stateful data are depended between business, and to guarantee the accuracy of the data, such as account balance, do remaining sum payment
When have to know original remaining sum, could pay successfully.
Specifically, server current data model state be process status (P-state) present case under, work as industry
When the data of business operation are flowing water type data, for increasing the operation of flowing water type data newly, data are inserted into according to new data model;It is right
In the operation of inquiry flowing water type data, data are inquired according to old data model.In embodiment of the disclosure, flowing water type data are
It is stateless, it is not associated between more business, new document, such as transaction flow can be all generated when each business comes
Water, payment flowing water, can finishing service as long as it can be inserted into new document.The characteristics of flowing water type data is before subsequent data do not depend on
The data in face, temporally flowing water enters database to all data.
Fig. 2 shows the exemplary processes of the step S103 in the data model upgrade method according to one embodiment of the disclosure
Figure.Step S103 as shown in Figure 2 includes step S201 and step S202.
In step s 201, it according to the process status of server, is obtained according to preset period of time and is in old data model
Account.
In step S202, the account in old data model is locked one by one, successively makes the account in old data model
Number enter process status to be upgraded to new data model.
In one embodiment according to the disclosure, a certain distributed server can be pushed by management platform
To after process status (P-state), using the account for being in old data model is obtained by timed task, account is locked simultaneously one by one
Complete upgrading.After the completion of the upgrading of some account, it is retained in process status, but can carry out logic behaviour according to new data model
Make.
In disclosure embodiment, by the process status according to server, it is according to preset period of time acquisition
The account of old data model;Locked one by one in the account of old data model, successively make the account in old data model into
Enter process status to be upgraded to new data model, may be implemented it is lossless, unattended, be not required to prohibit write, the number of user's unaware
Upgrade according to model, manpower intervention is not needed in escalation process, upgrading risk is very low and saves manpower.
Fig. 3 shows the flow chart of the data model upgrade method according to another embodiment of the disclosure.Implementation shown in Fig. 3
The difference of mode and embodiment shown in FIG. 1 is that Fig. 3 further includes step other than including step S101, S102 and S103
Rapid S301.
In step S301, when whole accounts in the server in process status are the account in new data model
Number when, new data model state will be sent in the server push of process status.
In one embodiment of the present disclosure, after the completion of the account of a default batch all upgrades and checks, by needle
The server of upgrading task is executed to the account of this batch or server cluster is pushed to new data model state (in Figure 11
S state).
In embodiment of the present disclosure, by obtaining when whole accounts in the server in process status are to be in
When the account of new data model, new data model state will be sent in the server push of process status, may be implemented it is lossless,
It is unattended, be not required to prohibit write, the upgrading of the data model of user's unaware, manpower intervention is not needed in escalation process, upgrades risk
Very low and saving manpower.
Fig. 4 shows the flow chart of the data model upgrade method according to another embodiment of the disclosure.Implementation shown in Fig. 4
The difference of mode and embodiment shown in Fig. 3 is that Fig. 4 is other than including step S101, S102, S103 and S301, also
Including step S401.
In step S401, the account table that record has account is established, wherein account table includes the upgrade status for distinguishing account
Upgrade flag field, wherein upgrade flag field by the upgrade status of each account be labeled as old data model state, process
One of state and new data model state.
In embodiment of the present disclosure, account model upgrading shape is distinguished using upgrade flag field on account table
State can consider the scenes such as disaster tolerance, gray scale simultaneously, facilitate in maximum level to keep service logic compatibility.
Fig. 5 shows the flow chart of the data model upgrade method according to another embodiment of the disclosure.Implementation shown in fig. 5
The difference of mode and embodiment shown in Fig. 4 is, Fig. 5 in addition to include step S101, S102, S103, S301 and S401 it
It outside, further include step S501.
In step S501, before the server push for being in process status is sent to new data model state, work as detection
When to the second preset condition, service logic rollback is carried out to the server in process status according to upgrade flag field.
In one embodiment of the present disclosure, model upgrading task needs to keep service logic compatible in maximum level
Property, therefore, need to guarantee that service logic can rollback before server push is sent to new data model state.Process will be in
The server push of state is sent to before new data model state, can be according to upgrade flag word in the case that discovery needs rollback
Section carries out service logic rollback to the server in process status.Detect that the second preset condition is to find to need rollback
Situation, for example, a certain proportion of account is upgraded to the failure of new data model, the server in process status from old data model
There is abnormal, upgrading time-out etc..
In embodiment of the present disclosure, by the way that the server push for being in process status is being sent to new data model state
Before, when detecting the second preset condition, business is carried out to the server in process status according to upgrade flag field and is patrolled
Volume rollback, may be implemented it is lossless, unattended, be not required to prohibit and write, user's unaware and can upgrade with the data model of rollback, liter
Manpower intervention is not needed during grade, upgrading risk is very low and saves manpower.
Figure 12 shows the schematic diagram of the application scenarios of the data model upgrading scheme according to one embodiment of the disclosure.
As shown in figure 12, divider-three layers of loader-actuator frame can be used to be torn open step by step to race batch task
Point, and uniform load is carried out using rpc (remote procedure call) service application server.Divider is according to migration (upgrading)
State is that the horizontal point epitope that splits of process status splits race batch task.Point epitope is that blocking computer room (may be simply referred to as
LDC flag bit), it can be understood as database level split back zone branch by flag bit.If run in batch task, there are white
List, then white list follows a point epitope individually to split.Loader is according to white list or point epitope from the task that divider is sent
The record that upgrade status is new data model state is obtained, is split according to preset number of concurrent.If there is dividing at epitope
In disaster tolerance state, then do not split.The task that loader is sent is migrated (upgrading) according to account one by one by actuator.When to one
When a account is upgraded, check whether the account is in disaster tolerance state, the end operation if in disaster tolerance state, if not
It is in disaster tolerance state, then is upgraded using new data model.In addition, for the account of the new account by class interface input of opening an account
Number, it directly checks whether in disaster tolerance state, the end operation if in disaster tolerance state, if not being in disaster tolerance state,
Upgraded using new data model.
In the application scenarios of data model upgrading scheme shown in Figure 12, account is upgraded one by one, every wheel upgrading
Quantity can be adjusted by parameter, provide High Availabitity guarantee.Running batch task, (it is exactly " old for cutting stream mode according to stream mode is cut
Each state of data model state (initial state)-process status (process state)-new data model state (final state) ") it obtains and divides epitope
It is split, only fishes for point epitope under process status.Batch task is run only for storage account, newly-increased account is being switched to process
After state, new logic is used to carry out account-opening.If epitope is divided to be in disaster tolerance state, task fractionation, table are not done
Show and does not do upgrading task.(upgrading) is not migrated during disaster tolerance, is otherwise appeared in disaster tolerance library and is completed what migration was not moved back but
Situation brings the problem that data model is inconsistent.Class of opening an account interface belongs to state type data insertion operation, this generic operation is uniformly pressed
It is handled according to new model, guarantees that incremental data all uses new model, it is consistent to may achieve world model under process status.
After pushing process status and adjusting parameter, can unattended progress account model upgrading, business will not generate loss, and
Other manual operations are not needed in escalation process.
Fig. 6 shows the structural block diagram of the data model update device according to one embodiment of the disclosure.The device can wrap
Include detection module 601, the first pushing module 602 and data processing module 603.
Detection module 601 is configured as while executing business operation, the current data model state of detection service device,
Current data model state is the old data model state not upgraded, the process status in escalation process and completes to upgrade
One of new data model state of process.
First pushing module 602 is configured as when detecting the first preset condition, and current data model state is in
The server push of old data model state is sent to process status.
Data processing module 603 is configured as the current data model state according to server, using with current data mould
The corresponding data model of type state carries out data processing for business operation, wherein when the current data model state of server
When for process status, one of new data model and old data model are applied respectively by business operation of the account dimension to account.
In embodiment of the disclosure, a kind of " old data model state (initial state)-process status (process is proposed
State)-new data model state (final state) " data model upgrading scheme, breach distributed system business limited scalability
In the bottleneck of data model.That is, it is considered that being based on " initial according to the data model upgrading scheme of embodiment of the present disclosure
The upgrading scheme of the state machine of state-process state-final state ".
In embodiment of the present disclosure, the data processing model of server is upgraded although only referring to, this
Field technical staff, which is appreciated that, is equally applicable to server set according to the data model upgrading scheme of embodiment of the present disclosure
Group, the server cluster or distributed server cluster either concentrated.Therefore, in embodiment of the present disclosure, service
Device may refer to server cluster.
It is write according to the data model upgrading scheme of embodiment of the present disclosure without prohibiting, it therefore, can be in the business of execution behaviour
While work, the current data model state of detection service device is to carry out corresponding operation.
According in embodiment of the present disclosure, the first preset condition can be the server in old data model state
In preset time point, the server in old data model state is in preset upgrading batch, and server receives upgrading
Instruction etc..
According in embodiment of the present disclosure, the current data model state of server can be current data model shape
State is the old data model state not upgraded, the process status in escalation process and the new data mould for completing escalation process
One of type state.
In disclosure embodiment, by data processing model while executing business operation, detection service device
Current data model state, the current data model state be the old data model state not upgraded, in upgrading
The process status of process and one of the new data model state for completing escalation process;First pushing module is configured as when detection
When to the first preset condition, the server push that current data model state is in old data model state is sent to process status;
First pushing module is configured as the current data model state according to the server, using with the current data model
The corresponding data model of state carries out data processing for the business operation, wherein when the current data mould of the server
When type state is process status, by business operation of the account dimension to account apply respectively new data model and old data model it
One, upgrading complexity can be reduced, data model upgrading is carried out with account dimension.Moreover, to incremental data directly using new number
According to model, guarantee to can reach data model in process status consistent.Moreover, according to the data model liter of disclosure embodiment
Grade scheme may be implemented it is lossless, unattended, be not required to prohibit write, the upgrading of the data model of user's unaware, in escalation process not
Manpower intervention is needed, upgrading risk is very low and saves manpower.
According in embodiment of the present disclosure, when the current data model state of server is old data model state
When, corresponding operating is carried out only with old data model, and when detecting the first preset condition, by current data model state
Server push in old data model state is sent to process status.Therefore, the state that the data model of server is upgraded
It is exactly process status.When the current data model state of server is process status, grasped by business of the account dimension to account
Make to apply one of new data model and old data model respectively.That is, when the current data model state of server is process status
When, do not take a step to be switched to the operation of new data model the account not upgraded, but it is directed to different business operations, it answers
With one of new data model and old data model.It avoids to be switched to new data model from old one step of data model in this way and lead
Obvious perception of the risk and user of cause to upgrading.When the current data model state of server is new data model state
When, corresponding operating is carried out only with new data model.
In one embodiment of the present disclosure, data processing module 603 is also configured to the process shape according to server
State, for the business operation of data type and account that whether account has completed upgrading, the business operation of account is related to
At least one of action type applies one of new data model and old data model to the business operation of the account respectively.
Figure 11 shows the schematic diagram of the implementation principle of the data model upgrading scheme according to one embodiment of the disclosure.
As shown in figure 11, when handling in the server a business operation, and the current data mould of server
It is unified to be operated according to data of the old data model to this business when type state is old data model state (I state).When
A business operation is handled in the server, and the current data model state of server is new data model state
It is unified to be operated according to data of the new data model to this business when (S state).When in the server to a business behaviour
It is handled, and when the current data model state of server is process status (P-state), it is whether complete for account
At least one of the action type of business operation of data type and account being related at the business operation of upgrading, account,
One of new data model and old data model are applied respectively to the business operation of the account.
Specifically, server current data model state be process status (P-state) present case under, work as industry
When the data of business operation are state type data, for increasing the operation of state type data newly, data are inserted into according to new data model;It is right
In modification state type data operation, judge whether the targeted account of the operation is completed to upgrade, if complete upgrading if according to
New data model modification data, and according to old data model more new data if not completing upgrading;For inquiring state type
The operation of data inquires data according to old data model.In embodiment of the disclosure, state type data are stateful, more
Stateful data are depended between business, and to guarantee the accuracy of the data, such as account balance, do remaining sum payment
When have to know original remaining sum, could pay successfully.
Specifically, server current data model state be process status (P-state) present case under, work as industry
When the data of business operation are flowing water type data, for increasing the operation of flowing water type data newly, data are inserted into according to new data model;It is right
In the operation of inquiry flowing water type data, data are inquired according to old data model.In embodiment of the disclosure, flowing water type data are
It is stateless, it is not associated between more business, new document, such as transaction flow can be all generated when each business comes
Water, payment flowing water, can finishing service as long as it can be inserted into new document.The characteristics of flowing water type data is before subsequent data do not depend on
The data in face, temporally flowing water enters database to all data.
Fig. 7 shows showing for the data processing module 603 in the data model update device according to one embodiment of the disclosure
The structural block diagram of example.Data processing module 603 as shown in Figure 7 includes acquisition submodule 701 and upgrading submodule 702.
Acquisition submodule 701 is configured as the process status according to server, obtains according to preset period of time in old
The account of data model.
Upgrading submodule 702 is configured as locking the account in old data model one by one, successively makes in old data
The account of model enters process status to be upgraded to new data model.
In one embodiment according to the disclosure, a certain distributed server can be pushed by management platform
To after process status (P-state), using the account for being in old data model is obtained by timed task, account is locked simultaneously one by one
Complete upgrading.After the completion of the upgrading of some account, it is retained in process status, but can carry out logic behaviour according to new data model
Make.
In disclosure embodiment, by acquisition submodule, it is configured as the process status according to server, according to pre-
If the time cycle obtains the account for being in old data model;Upgrade submodule, is configured as to the account for being in old data model
It locks one by one, so that the account in old data model is entered process status to be upgraded to new data model, nothing may be implemented
It is damage, unattended, be not required to prohibit write, the upgrading of the data model of user's unaware, do not need manpower intervention in escalation process, upgrade
Risk is very low and saves manpower.
Fig. 8 shows the structural block diagram of the data model update device according to another embodiment of the disclosure.Reality shown in Fig. 8
The difference for applying mode and embodiment shown in fig. 6 is that Fig. 8 is in addition to including detection module 601,602 and of the first pushing module
It further include the second pushing module 801 except data processing module 603.
Second pushing module 801 is configured as when whole accounts in the server in process status being in new number
According to model account when, new data model state will be sent in the server push of process status.
In one embodiment of the present disclosure, after the completion of the account of a default batch all upgrades and checks, by needle
The server of upgrading task is executed to the account of this batch or server cluster is pushed to new data model state (in Figure 11
S state).
In embodiment of the present disclosure, by the second pushing module, it is configured as obtaining when the service in process status
When whole accounts in device are the account in new data model, the server push in process status is sent to new data mould
Type state, may be implemented it is lossless, unattended, be not required to prohibit write, the upgrading of the data model of user's unaware, in escalation process not
Manpower intervention is needed, upgrading risk is very low and saves manpower.
Fig. 9 shows the structural block diagram of the data model update device according to another embodiment of the disclosure.Reality shown in Fig. 9
The difference for applying mode and embodiment shown in Fig. 8 is that Fig. 9 is in addition to including detection module 601, the first pushing module 602, number
It further include that account table establishes module 901 except processing module 603 and the second pushing module 801.
Account table establishes module 901 and is configured as establishing the account table that record has account, wherein account table includes distinguishing account
Number upgrade status upgrade flag field, wherein upgrade flag field by the upgrade status of each account be labeled as old data
One of model state, process status and new data model state.
In embodiment of the present disclosure, account model upgrading shape is distinguished using upgrade flag field on account table
State can consider the scenes such as disaster tolerance, gray scale simultaneously, facilitate in maximum level to keep service logic compatibility.
Figure 10 shows the structural block diagram of the data model update device according to another embodiment of the disclosure.It is shown in Fig. 10
The difference of embodiment and embodiment shown in Fig. 9 is that Figure 10 is in addition to including detection module 601, the first pushing module
602, data processing module 603, the second pushing module 801 and account table are established except module 901, further include roll-back module
1001。
Roll-back module 1001 is configured as before the server push for being in process status is sent to new data model state,
When detecting the second preset condition, service logic is carried out to the server in process status according to upgrade flag field and is returned
Rolling.
In one embodiment of the present disclosure, model upgrading task needs to keep service logic compatible in maximum level
Property, therefore, need to guarantee that service logic can rollback before server push is sent to new data model state.Process will be in
The server push of state is sent to before new data model state, can be according to upgrade flag word in the case that discovery needs rollback
Section carries out service logic rollback to the server in process status.Detect that the second preset condition is to find to need rollback
Situation, for example, a certain proportion of account is upgraded to the failure of new data model, the server in process status from old data model
There is abnormal, upgrading time-out etc..
In embodiment of the present disclosure, by roll-back module, it is configured as in the server push that will be in process status
It is sent to before new data model state, when detecting the second preset condition, according to upgrade flag field in process status
Server carry out service logic rollback, may be implemented it is lossless, unattended, be not required to prohibit and write, user's unaware and can return
The data model of rolling upgrades, and manpower intervention is not needed in escalation process, upgrading risk is very low and saves manpower.
The foregoing describe the built-in function of data model update device and structures, in a possible design, the data
The structure of model update device can realize that for data model updating apparatus, as shown in Figure 13, which be can wrap
Include processor 1301 and memory 1302.
The memory 1302 supports data model update device to execute data mould in any of the above-described embodiment for storing
The program of type upgrade method, the processor 1301 are configurable for executing the program stored in the memory 1302.
The memory 1302 is for storing one or more computer instruction, wherein one or more computer
Instruction is executed by the processor 1301.
The processor 1301 is used to execute all or part of the steps in aforementioned approaches method step.
Wherein, it can also include communication interface in the structure of the data model updating apparatus, upgrade for data model
Equipment and other equipment or communication.
Disclosure exemplary embodiment additionally provides a kind of computer storage medium, for storing the data model upgrading
Computer software instructions used in device, it includes for executing in any of the above-described embodiment involved by data model upgrade method
Program.
Figure 14 is adapted for the computer system for realizing the data model upgrade method according to one embodiment of the disclosure
Structural schematic diagram.
As shown in figure 14, computer system 1400 include central processing unit (CPU) 1401, can according to be stored in only
It reads the program in memory (ROM) 1402 or is loaded into random access storage device (RAM) 1403 from storage section 1408
Program and execute the various processing in above-mentioned embodiment shown in FIG. 1.In RAM1403, it is also stored with the operation of system 1400
Required various programs and data.CPU1401, ROM1402 and RAM1403 are connected with each other by bus 1404.Input/output
(I/O) interface 1405 is also connected to bus 1404.
I/O interface 1405 is connected to lower component: the importation 1406 including keyboard, mouse etc.;Including such as cathode
The output par, c 1407 of ray tube (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.;Storage section including hard disk etc.
1408;And the communications portion 1409 of the network interface card including LAN card, modem etc..Communications portion 1409 passes through
Communication process is executed by the network of such as internet.Driver 1410 is also connected to I/O interface 1405 as needed.It is detachable to be situated between
Matter 1411, such as disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 1410, so as to
In being mounted into storage section 1408 as needed from the computer program read thereon.
Particularly, according to embodiment of the present disclosure, it is soft to may be implemented as computer above with reference to Fig. 1 method described
Part program.For example, embodiment of the present disclosure includes a kind of computer program product comprising be tangibly embodied in and its readable
Computer program on medium, the computer program include the program code for executing the data processing method of Fig. 1.At this
In the embodiment of sample, which can be downloaded and installed from network by communications portion 1409, and/or from can
Medium 1411 is dismantled to be mounted.
Flow chart and block diagram in attached drawing illustrate system, method and computer according to the various embodiments of the disclosure
The architecture, function and operation in the cards of program product.In this regard, each box in course diagram or block diagram can be with
A part of a module, section or code is represented, a part of the module, section or code includes one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, Ke Yiyong
The dedicated hardware based system of defined functions or operations is executed to realize, or can be referred to specialized hardware and computer
The combination of order is realized.
Being described in unit or module involved in disclosure embodiment can be realized by way of software, can also
It is realized in a manner of through hardware.Described unit or module also can be set in the processor, these units or module
Title do not constitute the restriction to the unit or module itself under certain conditions.
As on the other hand, the disclosure additionally provides a kind of computer readable storage medium, the computer-readable storage medium
Matter can be computer readable storage medium included in device described in above embodiment;It is also possible to individualism,
Without the computer readable storage medium in supplying equipment.Computer-readable recording medium storage has one or more than one journey
Sequence, described program is used to execute by one or more than one processor is described in disclosed method.
Above description is only the preferred embodiment of the disclosure and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the disclosure, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed in the disclosure
Can technical characteristic replaced mutually and the technical solution that is formed.