CN102163308B - Flow service data uploading system and method - Google Patents
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Abstract
The invention provides a flow service data uploading system which comprises a service data warehouse positioned at a server terminal and an uploading device positioned at a client, wherein the service data warehouse is used for storing the meta information and data block of service data and providing the meta information of the required service data for the uploading device; and the uploading device is used for obtaining the meta information of the service data which is stored in the service data warehouse and corresponds to the to-be-uploaded service data, then identifying the incremental data of the to-be-uploaded service data with respect to the corresponding service data stored by the service data warehouse according the meta information of the corresponding service data, and uploading the incremental data to the service data warehouse. The invention further provides a corresponding flow service data uploading method. By using the uploading system and method provided by the invention, the transmitted data volume can be reduced, the integral flow operation efficiency is improved, the use ratio of a disk is improved, and the disk quota loss to a tenant is reduced.
Description
Technical field
The invention belongs to the BPM technical field, specifically, the present invention relates to a kind of flow process business datum uploading system and method for uploading.
Background technology
The BPM technology can be used for integrated-type and provide support environment; Help enterprise, unit that operation flow is obtained observability and implements control; Obtained broad research and application in the more than two decades in the past, its range of application relates to every field such as office, ecommerce, science calculating, emergency cooperative.
In the BPM technology, the data owner in the flow process will be divided into flow process business datum and flow process control data, and wherein, the flow process business datum is meant: the official document that circulates in the operation flow, electrical form and other professional relevant data; The flow process control data is meant: state, flow process variable and the task items etc. of the definition of flow process, the state of flow instance, activity.In the process of process flow operation, for bigger flow process business datum, the user need download to this machine, and editor is uploaded to workflow management server after accomplishing again, supplies other users in the flow process to use so that revise data later.For example, in the manuscript approval process, the author need upload the article of oneself earlier to workflow management server, and the approver downloads article then, uploads backflow thread management server again after adding oneself annotations and comments and suggestion for revision.
In the prior art; The business datum modification in each step activity on stream often all is a locality; And the user will upload revising business datum integral body later again; This brings the problem of two aspects: 1) volume of transmitted data is big, is in particular in that uplink time is longer, consumes user's network traffics etc.2) workflow management server need keep the business datum of a plurality of versions, and the part of a lot of repetitions is arranged in these business datums, has therefore taken some unnecessary disk spaces.
On the other hand, rise of calculating along with the Internet and SaaS (Software as a Service, software is promptly served) pattern popular, more and more process management systems begin to offer the user with service manner and rent.Enterprise or unit can use Internet to go up ISP's software service through browser with the mode of renting, and such enterprise or unit are called the tenant, and software service provider generally can come the tenant is charged according to network traffics, disk space occupancy.Therefore, there is following defective in present SaaS process management system: the user that 1) uplink bandwidth of network is little will face business datum uploading speed slowly in the process of using the SaaS process management system.2) it much is unnecessary that the charge on traffic that produces in user's upload procedure has.3) for frequent modification, the business datum uploaded,, can there be a large amount of repeating datas between the version, have caused waste tenant's disk size quota if each version is all preserved its partial data.
In sum, the current flow process business datum uploading system and the corresponding flow process business datum method for uploading thereof that a kind ofly can reduce the business data transmission amount, reduce the shared disk space of business datum that press for.
Summary of the invention
The purpose of this invention is to provide a kind of flow process business datum uploading system and corresponding flow process business datum method for uploading thereof that can reduce the business data transmission amount, reduce the shared disk space of business datum.
For realizing the foregoing invention purpose, the invention provides a kind of flow process business datum uploading system, comprise business datum warehouse that is positioned at server end and the device of uploading that is positioned at client;
Said business datum warehouse is used for the metamessage and the data block of storage service data; And be used for uploading the metamessage that device provides required business datum to said;
The said device of uploading comprises transmission module on incremental computations module and the increment; The incremental computations module be used for obtaining be stored in said business datum warehouse with the metamessage of waiting to upload business datum corresponding business data; Then according to the metamessage of corresponding business datum, identify the incremental data of waiting to upload the corresponding service data that business datum stored with respect to the business datum warehouse; Transmission module is used for uploading said incremental data to said business datum warehouse on the said increment.
Wherein, the said device of uploading also comprises transmission module on the full dose, is used for uploading the total data of waiting to upload business datum to said business datum warehouse; The full dose of transmission module is uploaded the incremental computations thread parallel execution of thread and incremental computations module on the said full dose; When the incremental computations thread is accomplished; If full dose is uploaded the data volume of the incremental data that the data volume also do not uploaded in the thread identified greater than the incremental computations thread; Then stop full dose and upload thread, the beginning increment is uploaded thread to upload incremental data; Otherwise, continue to keep full dose to upload thread.
Wherein, the said device of uploading also comprises and uploads interface module, is used for carrying out alternately with the user, with the selected business datum that need upload, and shows and uploads progress bar.
The present invention also provides corresponding flow process business datum method for uploading, comprises the following steps:
1) when needs are uploaded business datum, upload in the device requests business datum warehouse with the metamessage of waiting to upload business datum corresponding business data;
2) the business datum warehouse is to uploading the metamessage that device returns corresponding business datum;
3) upload the metamessage of device, identify the incremental data of waiting to upload the corresponding service data that business datum stored with respect to the business datum warehouse according to corresponding business datum;
4) upload device and upload said incremental data to said business datum warehouse.
Wherein, also comprise and step 1)～3) the step 1a of executed in parallel), step 1a) and upload business datum said to be uploaded for full dose;
When if step 3) is accomplished, step 1a) data volume of also not uploading in then stops execution in step 1a greater than the data volume of the incremental data that step 3) identified), beginning execution in step 4); Otherwise, continue execution in step 1a), execution in step 4).
Wherein, in the said step 1), the metamessage of corresponding business datum comprises the strong check value of business datum ID, each data block, weak check value, data block length and piece sequence number.
Wherein, said strong check value is to act on the check value that data block obtains through MD5 or MD4 algorithm, and said weak check value acts on the check value that data block obtains through Rabin-Karp or adler-32 algorithm.
Wherein, said step 3) comprises following substep:
31) uploading device is the window slip calculation check value of N with length from the head of business datum to be uploaded, and N equals the data block length in the metamessage of corresponding business datum; The each step-length of sliding of window is 1 or N;
32) for the data in the current window, at first carry out the computing of weak check value, if weak test value W not in the weak check value set of metamessage, then the window step-length of next time sliding is set to 1, otherwise, execution in step 33);
33) further calculate the strong check value S of data in the current window; Detect it whether in the strong check value set of metamessage; If S therein, then the data block in the current window is marked as legacy data (mark mode can be the deviation post about record window), and the step-length that window slides next time is set to N; Otherwise the step-length that window is slided next time is 1;
34) repeating step 32) to 33) arrive the afterbody of business datum until the right-hand member of window;
35) after said process finished, the data block that still is not marked as legacy data all was judged to be the incremental data piece.
Wherein, after carrying out said step 4), go back execution in step 5);
5) the business datum warehouse merges the complete business datum after obtaining upgrading with existing data block in incremental data piece and the business datum warehouse.
Compared with prior art, the present invention has following technique effect:
1, the present invention can reduce data quantity transmitted, and then has reduced the user and uploaded the needed time of business datum, has promoted the whole efficiency of process flow operation, reduces the consumption to tenant network flow quota.
2, the present invention has eliminated the redundancy of many versions business datum, has improved the utilance of disk, has reduced the Disk Quotas consumption to the tenant.
3, increment of the present invention is uploaded device and is based on browser, and user side is not had invasive.
4, the present invention has adopted full dose to upload and calculate the parallel method of carrying out of increment, can adapt to various modification degree different service data upload widely.
Description of drawings
Below, specify embodiments of the invention in conjunction with accompanying drawing, wherein:
Fig. 1 shows the structural representation of flow process business datum uploading system under the SaaS environment of one embodiment of the invention;
Fig. 2 shows the flow chart of flow process business datum method for uploading under the SaaS environment of one embodiment of the invention;
Fig. 3 shows under the SaaS environment of one embodiment of the invention flow process business datum method for uploading and is applied to article and publishes the sketch map in the flow process scene; It is that certain periodical publisher has rented and adopts the SaaS process management system to handle its contribution is finally drawn up version from contributing overall process that this article is published the flow process scene.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is done description further.
As shown in Figure 1, according to one embodiment of present invention, flow process business datum uploading system under a kind of SaaS environment is provided, this system comprises two parts: the uploading device and being positioned at the business datum warehouse of server end based on browser that is positioned at client.
The business datum warehouse of server end comprises: metamessage administration module and block management data module.The metamessage of the main management service data of metamessage administration module.With reference to figure 1, business datum is by block management, and the metamessage of each data block comprises strong check value, the weak check value of data block, data block size (being data block length) and the piece sequence number of business datum ID, data block.In a preferred embodiment, the flow process variable name in business datum ID and the process management system is one to one, and the flow process variable is the carrier of data and state in the process of process flow operation.The flow process variable generally has a name of being convenient to Process Designer's memory.Strong check value acts on data block through MD5 or MD4 algorithm and obtains, and weak check value acts on data block through Rabin-Karp or adler-32 algorithm and obtains.The piece sequence number i.e. the piecemeal sequence number of this data block in a complete business datum.The metamessage administration module generally can adopt relational database technology to realize.With reference to figure 1, in a preferred embodiment, the block management data module adopts the storage mode of key-value pair, and key is the strong check value of this data block, and value is exactly the content of data block.The block management data module can adopt distributed key assignments storage system to realize in realization.
The device of uploading based on browser comprises: upload interface module, incremental computations module and data transmission module.Upload interface module and be responsible for carrying out alternately,, be used to upload the demonstration of progress bar and some prompted dialog frames in addition to select the business datum that to upload with user's (like mouse behavior of user).The incremental computations module be responsible for obtaining server end the business datum metamessage and and the local service data compare and calculate incremental portion.Transport module is responsible for uploading data to the business datum warehouse of server end; In a preferred embodiment; Transport module has two kinds of mode of operations: full dose is uploaded with increment and is uploaded; Acquiescence starts full dose to be uploaded, and the incremental data amount that calculates when the incremental computations module is during less than the current data of not uploading big or small, and transport module can stop arq mode on the full dose and change arq mode on the increment into.Like this, can combine full dose to upload and upload advantage separately with increment.For the little business datum of modification amplitude, adopt increment to upload and can effectively reduce data quantity transmitted, and then reduce the user and upload the needed time of business datum, promote the whole efficiency of process flow operation; Can also eliminate simultaneously the redundancy of many versions business datum, improve the utilance of disk.And for the big business datum of some modification amplitude; Because saved the time of calculating increment, full dose is uploaded and possibly uploaded soon than increment on the contrary, adopt full dose to upload this moment; Can reduce the user and upload the needed time of business datum, promote the whole efficiency of process flow operation.Certainly, the present invention is not limited to above-mentioned preferred embodiment, in other embodiments, the mode of operation that transport module also can only provide increment to upload, this is that those skilled in the art are understandable.
Fig. 2 shows the flow chart of flow process business datum method for uploading under the SaaS environment of one embodiment of the invention, comprises the following steps SP1～SP7:
SP1: the user selects the business datum that will upload through the device of uploading based on browser when carrying out operation flow a certain movable.
In a preferred embodiment, SP1 comprises following substep:
(1) user if this action need is uploaded business datum, will demonstrate on the webpage and upload device when a certain business activity that implements flow process.
(2) upload the version of device judges browser; For the browser of not supporting HTML5; The size of the business datum of uploading can not surpass 100M (receiving the Flash technology limitation), and for the browser of supporting HTML5, the size of the business datum of uploading is unrestricted technically.
(3) user clicks and uploads the button on the device, the business datum that selection will be uploaded.
SP2: upload device and begin that the selected business datum that will upload is carried out full dose and upload, start the metamessage of background thread corresponding service data of operation flow under this business datum of business datum warehouse request simultaneously.Here, the corresponding service data in the business datum warehouse are meant with business datum to be uploaded has the data in the business datum warehouse of identical ID.Data in the business datum warehouse are relative older data, and the data that the user will upload are data of new edition.
In a preferred embodiment, SP2 comprises following substep:
(1) user clicks " beginning to upload ", begins to carry out full dose and uploads, and show the progress bar of uploading.
(2) open the incremental computations task of uploading tasks in parallel with full dose, the incremental computations task adopts Web Worker to realize if the user side browser is supported HTML5; Otherwise the incremental computations task uses the asynchronous event readjustment in the Flash technology to realize.The incremental computations task is accomplished by step SP3 and SP4 hereinafter.
SP3: after the business datum warehouse is received and uploaded the request of device to the metamessage of business datum, the metamessage that has the business datum of identical ID in the business datum warehouse sent to upload device.In a preferred embodiment, the business datum warehouse sends to the metamessage of uploading device and comprises: data block length, the set of weak check value and strong check value set.Metamessage adopts the form of JSON (full name is JSON---JavaScript Object Notation) as exchanges data.Weak check value set all adopts Hash table as data structure with strong check value set, and being convenient to upload device can search in the time of constant complexity.The set that weak check value set is made up of the pairing weak check value of each data block, the set that strong check value set is made up of the pairing strong check value of each data block.Further; In a further advantageous embodiment; The business datum warehouse earlier compresses metamessage in the SP3 step, and then the metamessage after will compress sends to and upload device, obtains said business datum by metamessage decompress(ion) after uploading device and will compressing at last.
SP4: upload the contrast of device, identify the data block that does not have in the business datum warehouse, i.e. the incremental data piece through the metamessage that will wait to upload business datum and business datum warehouse and send.
In a preferred embodiment, the process of identification incremental data piece comprises following substep (1) to (5) among the SP4:
(1) uploading device is the window slip calculation check value of N with length from the head of business datum to be uploaded, the data block length that N equals to arrange in the metamessage.The each step-length of sliding of window is 1 or N.
(2) for the data in the current window, at first carry out the computing of weak check value, if weak test value W not in the weak check value set of metamessage, then the window step-length of next time sliding is set to 1, otherwise, execution in step (3);
(3) further calculate the strong check value S of data in the current window; Detect it whether in the strong check value set of metamessage; If S therein, then the data block in the current window is marked as legacy data (mark mode can be the deviation post about record window), and the step-length that window slides next time is set to N; Otherwise the step-length that window is slided next time is 1;
(4) repeating step (2) to (3) arrives the afterbody of business datum until the right-hand member of window;
(5) after said process finished, the data block that still is not marked as legacy data all was judged to be the incremental data piece.
In the foregoing description strong check value and weak check value combined and realize the identification of incremental data piece, can improve the discrimination of repeating data on the one hand, reduce the unnecessary data transmission; Can guarantee that on the other hand computation complexity is in reduced levels.Particularly, in the identifying schemes of above-mentioned incremental data piece, computation complexity is linear, and promptly the length of computation complexity and data to be uploaded is linear relationships.Particularly; In the method for above-mentioned identification incremental data piece; Can the roll characteristics of calculating (Rabin-Karp or adler-32 algorithm) of weak check value have been utilized; When sliding step is 1, can obtain through once-through operation according to the weak check value of a last window, and without all data in the cycling among windows.In addition, when needs used strong checking algorithm, though the characteristics of not rolling and calculating need all data in the cycling among windows, the sliding step of window was N.Therefore, its average complexity remains linearity.
SP5: if when the SP4 step is accomplished, the data volume that the thread that full dose is uploaded is not also uploaded then stops full dose and uploads thread greater than the incremental data block size that SP4 identifies, and begins to upload incremental data; Otherwise, continue to keep full dose to upload.Such benefit is that full dose is uploaded on the contrary and uploaded soon than increment for the big business datum of some modification amplitude, because saved the time of calculating increment.
In addition, in a preferred embodiment, do not submit to immediately after each incremental data piece is identified; But identify whole incremental data pieces earlier; And then disposable submission, can strengthen the stability of data upload like this, especially be suitable for the situation of unstable networks.
In a preferred embodiment, the incremental data of being uploaded is by data block and the ordered list that strong check value mixes, and sorts according to the piece sequence number in this ordered list.Wherein,, only transmitted its strong check value when uploading in the business datum warehouse existing, otherwise, the doublet that Data transmission and strong check value are formed when uploading.
SP6: if the pattern that SP5 is an increment to be uploaded then need be merged into complete business datum with existing data block in incremental data piece and the business datum warehouse.
In a preferred embodiment, the process that data block merges is exactly: travel through the incremental data that transmits on SP5, if doublet then is saved in strong check value, data block the database management module in business datum warehouse.
SP7: the business datum to after upgrading is carried out piecemeal, in the business datum warehouse, notes metamessage.
In a preferred embodiment, according to the doublet of forming by strong check value and data block of the database management module after upgrading, draw the metamessage of the business datum after the renewal.With reference to figure 1, in the metamessage administration module, same business datum ID corresponding a plurality of data blocks, these data blocks identify through unique separately strong check value, the actual content of data then is stored in the block management data module.
Fig. 3 shows under the SaaS environment of one embodiment of the invention flow process business datum method for uploading and is applied to article and publishes the sketch map in the flow process scene.It is that certain periodical publisher has rented and adopts the SaaS process management system to handle its contribution is finally drawn up version from contributing overall process that this article is published the flow process scene, and concrete steps are following:
(1) after the author writes out first draft, upload first draft through process management system, the contribution here is the present invention's said " flow process business datum ".Because the old version of this contribution not, so increment is uploaded the size that the detected increment size of device equals whole contribution, obviously, according to the rule among the SP5 of the present invention, this is uploaded the mode of uploading with full dose is carried out in this process.
(2) editor is in " reading and making comments " this business activity, and the first draft of can download author submitting to carries out once more it being uploaded behind certain modification and the annotations and comments to this contribution.Because this revises very possible just locality; When uploading size that device detects incremental portion, then start increment and upload mode, thereby accelerated the speed uploaded less than the size of not uploading part this moment; Reduced taking of upstream bandwidth, effect was more obvious when especially contribution was big.
(3) if in " reading and making comments " this activity, editor possibly also be unsatisfied with revision, and then the author need make amendment once more.After the author downloads the contribution that editor annotated and commented on, submit to once more after revising according to editor's suggestion.This process can be looked editor's suggestion and carried out repeatedly till editor is satisfied; Therefore this contribution can produce many versions; And the difference between the version is not too large usually; Business datum of the present invention warehouse is stored after with the business datum piecemeal, has therefore eliminated the redundant data between the different editions, has improved the utilance of disk.
(4) behind certain version of the satisfied contribution of editor, then flow process gets into last business activity and promptly draws up version, and this activity can be an autotask, for example, this contribution is included into certain first phase of periodical publisher and publishes in the storehouse.
Can find out, adopt flow process business datum method for uploading, can reduce data quantity transmitted, and then reduce the user and uploaded the needed time of business datum, promote the whole efficiency of process flow operation, reduce consumption tenant network flow quota; And, can eliminate the redundancy of many versions business datum, improved the utilance of disk, reduced Disk Quotas consumption to the tenant.
Need to prove that though the foregoing description is flow process business datum method for uploading and the system that is applied under the SaaS environment, the present invention is not limited to be applied to the SaaS environment, this is that those skilled in the art are understandable.
In addition, one of SaaS (software is promptly served) big characteristic is exempted to install exactly, zero deployment; And browser is a kind of the most widely used client software.In the foregoing description, the user only needs browser just can use flow process business datum uploading system, has greatly improved versatility of the present invention.Yet; The technology of uploading among the present invention also is not limited to browser itself; Upload mechanism among the preamble embodiment is to realize with the programming technique that the main flow browser is supported; But one skilled in the art will readily appreciate that the device of uploading that is positioned at client of the present invention is not must be based on browser, the present invention also can realize with other client programming languages.
What should explain at last is; Above embodiment is only in order to technical scheme of the present invention to be described but not to its restriction; And on using, can extend to other modification, variation, application and embodiment, think that simultaneously all such modifications, variation, application, embodiment are within the spirit and scope of the present invention.
Claims (7)
1. a flow process business datum uploading system comprises business datum warehouse that is positioned at server end and the device of uploading that is positioned at client;
Said business datum warehouse is used for the metamessage and the data block of storage service data; And be used for uploading the metamessage that device provides required business datum to said;
The said device of uploading comprises on incremental computations module, the increment transmission module on the transmission module and full dose; The incremental computations module be used for obtaining be stored in said business datum warehouse with the metamessage of waiting to upload business datum corresponding business data; Then according to the metamessage of corresponding business datum, identify the incremental data of waiting to upload the corresponding service data that business datum stored with respect to the business datum warehouse; Transmission module is used for uploading said incremental data to said business datum warehouse on the said increment; Transmission module on the said full dose is used for uploading the total data of waiting to upload business datum to said business datum warehouse; The full dose of transmission module is uploaded the incremental computations thread parallel execution of thread and incremental computations module on the said full dose; When the incremental computations thread is accomplished; If full dose is uploaded the data volume of the incremental data that the data volume also do not uploaded in the thread identified greater than the incremental computations thread; Then stop full dose and upload thread, the beginning increment is uploaded thread to upload incremental data; Otherwise, continue to keep full dose to upload thread.
2. flow process business datum uploading system according to claim 1 is characterized in that, the said device of uploading also comprises and uploads interface module, is used for carrying out alternately with the user, with the selected business datum that need upload, and shows and uploads progress bar.
3. a flow process business datum method for uploading that utilizes the described flow process business datum of claim 1 uploading system comprises the following steps:
1) when needs are uploaded business datum, upload in the device requests business datum warehouse with the metamessage of waiting to upload business datum corresponding business data;
2) the business datum warehouse is to uploading the metamessage that device returns corresponding business datum;
3) upload the metamessage of device, identify the incremental data of waiting to upload the corresponding service data that business datum stored with respect to the business datum warehouse according to corresponding business datum;
4) upload device and upload said incremental data to said business datum warehouse;
Said flow process business datum method for uploading also comprises and step 1) ~ 3) the step 1a of executed in parallel), step 1a) and upload business datum said to be uploaded for full dose;
When if step 3) is accomplished, step 1a) data volume of also not uploading in then stops execution in step 1a greater than the data volume of the incremental data that step 3) identified), beginning execution in step 4); Otherwise, continue execution in step 1a), execution in step 4).
4. flow process business datum method for uploading according to claim 3; It is characterized in that; In the said step 1), the metamessage of corresponding business datum comprises the strong check value of business datum ID, each data block, weak check value, data block length and piece sequence number.
5. flow process business datum method for uploading according to claim 4; It is characterized in that; Said strong check value is to act on the check value that data block obtains through MD5 or MD4 algorithm, and said weak check value acts on the check value that data block obtains through Rabin-Karp or adler-32 algorithm.
6. flow process business datum method for uploading according to claim 5 is characterized in that said step 3) comprises following substep:
31) uploading device is the window slip calculation check value of N with length from the head of business datum to be uploaded, and N equals the data block length in the metamessage of corresponding business datum; The each step-length of sliding of window is 1 or N;
32) for the data in the current window, at first carry out the computing of weak check value, if weak test value W not in the weak check value set of metamessage, then the window step-length of next time sliding is set to 1, otherwise, execution in step 33);
33) further calculate the strong check value S of data in the current window; Detect it whether in the strong check value set of metamessage; If S therein, then the data block in the current window is marked as legacy data, and the step-length that window slides next time is set to N; Otherwise the step-length that window is slided next time is 1;
34) repeating step 32) to 33) arrive the afterbody of business datum until the right-hand member of window;
35) said step 34) after the end, the data block that still is not marked as legacy data all is judged to be the incremental data piece.
7. flow process business datum method for uploading according to claim 3 is characterized in that, after carrying out said step 4), goes back execution in step 5);
5) the business datum warehouse merges the complete business datum after obtaining upgrading with existing data block in incremental data piece and the business datum warehouse.
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Effective date of registration: 20180824 Address after: 100044 B sixteen, No. 22 building, South Road, Haidian District, Beijing. Patentee after: Guoxin electronic bill Platform Information Service Co., Ltd. Address before: 100190 South Road, Zhongguancun Science Academy, Haidian District, Beijing 6 Patentee before: Institute of Computing Technology, Chinese Academy of Sciences |