CN109165905A - Processing method, device, equipment and the readable storage medium storing program for executing of operation flow data - Google Patents
Processing method, device, equipment and the readable storage medium storing program for executing of operation flow data Download PDFInfo
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Abstract
The present invention provides processing method, device, equipment and the readable storage medium storing program for executing of a kind of operation flow data, this method comprises: receiving the data acquisition request that user equipment is sent, data dimension information is carried in data acquisition request, includes at least a data dimension in data dimension information；Corresponding operation flow data are obtained from the corresponding storage region of database according to data dimension information；Corresponding operation flow data are sent to user equipment, to be shown.Due to being stored in advance to operation flow data with different data dimensions, so when obtaining operation flow data, corresponding tables of data can targetedly be searched, corresponding data is obtained from the correspondence storage region of database, it no longer needs to be analyzed and processed data, substantially increase response speed and obtains efficiency, and support the data displaying of various dimensions and the switching of any dimension data, meet the individual requirement of each enterprise customer, there is versatility.
Description
Technical field
The present embodiments relate to big data processing technology field more particularly to a kind of processing sides of operation flow data
Method, device, equipment and readable storage medium storing program for executing.
Background technique
With the development of information technology, a large amount of operation flow data are had accumulated, in the information system of enterprise in order to just
In the management of enterprise, each enterprise possesses a set of platform for carrying out Business Process Management, to carry out the monitoring and management of operation flow.
But the management platform of existing operation flow can only meet the Business Process Management demand of this enterprise.And it is obtaining
It after getting operation flow data, directly stores data into database, when user obtains the data of demand, then to database
In data carry out dissection process obtain related data.
So the management platform of existing operation flow, response speed is slower, obtains inefficiency.And existing business
The management platform compatibility of process is poor, and the data that not can be carried out various dimensions are shown and the switching of any dimension data, and then not
It is able to satisfy the individual demand of each enterprise customer.
Summary of the invention
The embodiment of the present invention provides processing method, device, equipment and the readable storage medium storing program for executing of a kind of operation flow data, solution
The management platform for existing operation flow of having determined, response speed is slower, obtains inefficiency, and poor universality, can not be into
The data of row various dimensions are shown and the switching of any dimension data, and then are not able to satisfy the skill of the individual demand of each enterprise customer
Art problem.
The embodiment of the present invention provides a kind of processing method of operation flow data, comprising:
The data acquisition request that user equipment is sent is received, carries data dimension information, institute in the data acquisition request
It states and includes at least a data dimension in data dimension information；
Corresponding operation flow data are obtained from the corresponding storage region of database according to the data dimension information；
The corresponding operation flow data are sent to the user equipment, to be shown.
Further, method as described above, it is described receive user equipment send data acquisition request before, also wrap
It includes:
Every preset time period obtains operation flow data；
By operation flow data storage into distributed file system；
Using Spark Computational frame by operation flow data described in the parallel processing of different data dimension；
The operation flow data are stored in the database by different data dimension；
Wherein, the data dimension includes at least: process dimension；Time dimension；Organization dimensionality；Index dimension.
Further, method as described above, further includes:
If there are abnormal conditions when operation flow data described in parallel processing, restore to roll back to after normal condition occur it is different
The operation flow Data Position of reason condition continues the processing of operation flow data.
Further, method as described above, further includes:
The process deadline predictions request that user equipment is sent is received, carries process identification information in the predictions request
Be in nodal information；
According to the process deadline predictions request, calculate stored with the process identification information and in node
The average completion time of the corresponding operation flow data of information completes predicted time to obtain process；
The process, which is sent, to the user equipment completes predicted time.
The embodiment of the present invention provides a kind of processing unit of operation flow data, comprising:
Receiving module carries number in the data acquisition request for receiving the data acquisition request of user equipment transmission
According to dimensional information, a data dimension is included at least in the data dimension information；
Module is obtained, for obtaining corresponding business from the corresponding storage region of database according to the data dimension information
Flow data；
Sending module, for the corresponding operation flow data to be sent to the user equipment, to be shown.
Further, device as described above, further includes: the first memory module, processing module and the second memory module；
The acquisition module is also used to every preset time period and obtains operation flow data；
First memory module, for storing the operation flow data into distributed file system；
The processing module, for pressing operation flow described in the parallel processing of different data dimension using Spark Computational frame
Data；
Second memory module, for storing the operation flow data in the database by different data dimension；
Wherein, the data dimension includes at least: process dimension；Time dimension；Organization dimensionality；Index dimension.
Further, device as described above, further includes:
Roll-back module, if restoring normal condition for there are abnormal conditions when operation flow data described in parallel processing
The operation flow Data Position for abnormal conditions occur is rolled back to afterwards continues the processing of operation flow data.
Further, device as described above, further includes: computing module；
The receiving module, is also used to receive the process deadline predictions request of user equipment transmission, and the prediction is asked
Seek middle carrying process identification information and in nodal information；
The computing module, for calculating the stored and process according to the process deadline predictions request
Identification information and the average completion time in the corresponding operation flow data of nodal information, when completing prediction to obtain process
Between；
The sending module is also used to send the process to the user equipment and completes predicted time.
The embodiment of the present invention provides a kind of terminal device, comprising:
Memory, processor and computer program；
Wherein, the computer program stores in the memory, and is configured as being executed by the processor with reality
Existing method as described in any one of the above embodiments.
The embodiment of the present invention provides a kind of computer readable storage medium, is stored thereon with computer program, the calculating
Machine program is executed by processor to realize the method as described in any one of above-mentioned.
The embodiment of the present invention provides processing method, device, equipment and the readable storage medium storing program for executing of a kind of operation flow data, leads to
It crosses and receives the data acquisition request that user equipment is sent, carry data dimension information, data dimension information in data acquisition request
In include at least a data dimension；Corresponding Business Stream is obtained from the corresponding storage region of database according to data dimension information
Number of passes evidence；Corresponding operation flow data are sent to user equipment, to be shown.Due in advance to operation flow data with
Different data dimensions are stored, so can targetedly search corresponding data when obtaining operation flow data
Table obtains corresponding data from the correspondence storage region of database, no longer needs to be analyzed and processed data, substantially increase response
Speed and acquisition efficiency, and support the data displaying of various dimensions and the switching of any dimension data, meet each enterprise customer's
Individual requirement has versatility.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of the processing method embodiment one of operation flow data of the present invention；
Fig. 2 is the flow chart of the processing method embodiment two of operation flow data of the present invention；
Fig. 3 is the structural schematic diagram of the processing device embodiment one of operation flow data of the present invention；
Fig. 4 is the structural schematic diagram of the processing device embodiment two of operation flow data of the present invention；
Fig. 5 is the structural schematic diagram of terminal device embodiment one of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation for describing affiliated partner, indicate
There may be three kinds of relationships, for example, A and/or B, can indicate: individualism A, exist simultaneously A and B, individualism B these three
Situation.In addition, character "/" herein, typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Depending on context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determination " or " in response to detection ".Similarly, depend on context, phrase " if it is determined that " or " if detection
(condition or event of statement) " can be construed to " when determining " or " in response to determination " or " when the detection (condition of statement
Or event) when " or " in response to detection (condition or event of statement) ".
Fig. 1 is the flow chart of the processing method embodiment one of operation flow data of the present invention, as shown in Figure 1, the present embodiment
Executing subject be operation flow data processing unit, the processing unit of the operation flow can integrate computer, notes
In this computer or server, service is provided for user by client or webpage, then operation flow data provided in this embodiment
Processing method include following steps.
Step 101, the data acquisition request that user equipment is sent is received, data dimension letter is carried in data acquisition request
It ceases, a data dimension is included at least in data dimension information.
Specifically, in the present embodiment, the processing unit of operation flow data, which can graphically be shown to user, matches
Set the page.If user needs that operation flow data are checked or obtained, needed by user equipment in configuration page selection
The data dimension information of the operation flow data to be checked, and sent by user equipment to the processing unit of operation flow data
Data acquisition request.
Wherein, configuring the data dimension provided in the page may include: process dimension, time dimension, organization dimensionality, index
Dimension etc..User can simultaneous selection one or more data dimension propped up with obtaining the operation flow data of related data dimension
Hold the acquisition of the data of any number of combined data dimensions.
Step 102, corresponding operation flow data are obtained from the corresponding storage region of database according to data dimension information.
Specifically, in the present embodiment, in the database, operation flow data are stored according to different dimensions.That is industry
Business flow data is stored according to process dimension, time dimension, organization dimensionality, index dimension and other dimensions respectively.It is connecing
After receiving data acquisition request, according to the data dimension information in data acquisition request, corresponding storage region is obtained from database
Take corresponding operation flow data.
Wherein, the operation flow data of storage include: that process constitutes number of tasks caused by data and each node of process
According to.
Step 103, corresponding operation flow data are sent to user equipment, to be shown.
Specifically, in the present embodiment, after getting corresponding operation flow data, operation flow data are sent to user
Equipment, and be graphically shown according to the data dimension information in step 101.
It illustrates are as follows: data dimension information is a data dimensional information, which is time dimension, then
It is shown when displaying with the sequence of the time dimension.
The processing method of operation flow data provided in this embodiment is asked by receiving the data acquisition that user equipment is sent
It asks, data dimension information is carried in data acquisition request, includes at least a data dimension in data dimension information；According to data
Dimensional information obtains corresponding operation flow data from the corresponding storage region of database；Corresponding operation flow data are sent
To user equipment, to be shown.Due to being stored in advance to operation flow data with different data dimensions, so
When obtaining operation flow data, corresponding tables of data can be targetedly searched, obtains phase from the correspondence storage region of database
Data are answered, no longer need to be analyzed and processed data, substantially increase response speed and obtain efficiency, and support various dimensions
Data are shown and the switching of any dimension data, meet the individual requirement of each enterprise customer, have versatility.
Fig. 2 is the flow chart of the processing method embodiment two of operation flow data of the present invention, as shown in Fig. 2, the present embodiment
The processing method of the operation flow data of offer is on the basis of the processing method embodiment one of operation flow data of the present invention
On, further comprise every preset time period obtain operation flow data the step of, and to operation flow data carry out processing and
The step of storage, and further comprise the step of predicting the process deadline.Then operation flow provided in this embodiment
The processing method of data includes the following steps.
Step 201, every preset time period obtains operation flow data.
Further, in this embodiment each operation flow generates in every preset time period crawl company's operational process
Data.The operation flow data of crawl include that each node in the process composition data and process of process in operational process generates
Task data.
Wherein, preset time period can be 1 day, 1 week or other times section, not limit this in the present embodiment.
Step 202, by the storage of operation flow data into distributed file system.
Further, in this embodiment by operation flow data storage to distributed file system (referred to as: HDFS),
Since HDFS has the characteristics of high fault tolerance, can be deployed on cheap hardware, managing and maintaining in order to data.
Step 203, different data dimension parallel processing operation flow data are pressed using Spark Computational frame.
Further, in this embodiment reading Business Stream number of passes from distributed file system by reading data interface
According to, and operation flow data parallel processing, the formation different data such as calculated to, be associated with, merged using Spark Computational frame
The operation flow data of different data dimension are storable in Redis caching by the operation flow data of dimension.
It wherein, may include: process identification, temporal information, organizational information, indication information in forming operation flow data
And mission bit stream of each node etc..
Preferably, in the present embodiment, if there are abnormal conditions when parallel processing operation flow data, restore normal condition
The operation flow Data Position for abnormal conditions occur is rolled back to afterwards continues the processing of operation flow data.
Specifically, in the present embodiment, data is added and calculate disaster tolerance mechanism, i.e., occur in parallel processing operation flow data
Abnormal conditions, including mistake exception is calculated, network interruption is abnormal, or when power-off exception, after restoring normal condition, returns
It is rolled into the operation flow Data Position for abnormal conditions occur, rather than enters the operation flow Data Position being currently received, after
It is continuous that data processing is carried out from the operation flow data for abnormal conditions occur.Can it is ensured that whens abnormal conditions not will cause number
According to loss, and processed operation flow data can will not be impacted.
Step 204, operation flow data are stored in the database by different data dimension.
Wherein, data dimension includes at least: process dimension；Time dimension；Organization dimensionality；Index dimension.
Further, in this embodiment pressing different data dimension parallel processing Business Stream number of passes by Spark Computational frame
According to rear, which is to be able to carry out the displaying of immediate data, which is deposited with each data dimension
Storage is in the database.
Step 205, the data acquisition request that user equipment is sent is received, data dimension letter is carried in data acquisition request
It ceases, a data dimension is included at least in data dimension information.
Step 206, corresponding operation flow data are obtained from the corresponding storage region of database according to data dimension information.
Step 207, corresponding operation flow data are sent to user equipment, to be shown.
In the present embodiment, the processing method of the implementation of step 205- step 207 and operation flow data of the present invention is real
The implementation for applying the step 101- step 103 in example one is identical, and this is no longer going to repeat them.
Step 208, the process deadline predictions request that user equipment is sent is received, carries process identification in predictions request
Information and be in nodal information.
Further, in this embodiment further comprising one in the configuration page shown to user by user equipment
Process deadline prediction window, user can configure process deadline prediction window relevant parameter, include at least: stream
The configuration of locating nodal information in the configuration of journey identification information and the pre- flow gauge.Then it is predicted by the process deadline
Processing unit transmission flow deadline predictions request of the window to operation flow.The processing unit of operation flow receives the process
Deadline predictions request.
Step 209, it according to process deadline predictions request, calculates stored with process identification information and in node
The average completion time of the corresponding operation flow data of information completes predicted time to obtain process.
Further, in this embodiment obtaining from database and having deposited in history according to process deadline predictions request
The time of locating node to finish node, and averaged are corresponded in the process of storage, which is the pre- of process completion
Survey the time.
Step 210, predicted time is completed to user equipment transmission flow.
Further, in this embodiment predicted time is sent to user terminal and is shown, so that user gets
The process completes predicted time.
It is understood that in the present embodiment, without stringent between step 205- step 207 and step 208- step 210
Execution the time limitation, execution sequence it is related with the acquisition demand of user.Step 205- step 207 can be first carried out, after
Step 208- step 210 is executed, step 208- step 210 can also be first carried out, it is rear to execute step 205- step 207.
The processing method of operation flow data provided in this embodiment obtains Business Stream number of passes by every preset time period
According to, by operation flow data storage into distributed file system, located parallel using Spark Computational frame by different data dimension
Operation flow data are managed, operation flow data are stored in the database by different data dimension, receive what user equipment was sent
Data acquisition request carries data dimension information in data acquisition request, includes at least a data dimension in data dimension information
Degree obtains corresponding operation flow data from the corresponding storage region of database according to data dimension information, by corresponding business
Flow data is sent to user equipment, to be shown, not only substantially increases response speed and obtains efficiency, and support more
The data of dimension are shown and the switching of any dimension data, meet the individual requirement of each enterprise customer, have versatility, and
Every preset time period obtains operation flow data and carries out processing storage by different dimensions, can avoid when data are shown
Performance consumption caused by data is read directly from basic database.It is provided reliably efficiently for the statistical analysis of big data quantity
Calculate analytical model.
The processing method of operation flow data provided in this embodiment, when being completed by receiving the process that user equipment is sent
Between predictions request, process identification information is carried in predictions request and is in nodal information, according to process deadline predictions request,
The stored average completion time with process identification information and in the corresponding operation flow data of nodal information is calculated, to obtain
It obtains process and completes predicted time, complete predicted time to user equipment transmission flow.Operation flow can be improved according to predicted time
Efficiency provides strong foundation for Work Flow Optimizing.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above-mentioned each method embodiment can lead to
The relevant hardware of program instruction is crossed to complete.Program above-mentioned can store in a read/write memory medium.The program is being held
When row, execution includes the steps that above-mentioned each method embodiment；And storage medium above-mentioned includes: ROM, RAM, magnetic or disk
Etc. the various media that can store program code.
Fig. 3 is the structural schematic diagram of the processing device embodiment one of operation flow data of the present invention, as shown in figure 3, this reality
The processing unit for applying the operation flow data of example offer includes: receiving module 31, obtains module 32 and sending module 33.
Wherein, receiving module 31 carry in data acquisition request for receiving the data acquisition request of user equipment transmission
Data dimension information includes at least a data dimension in data dimension information.Module 32 is obtained, for believing according to data dimension
Breath obtains corresponding operation flow data from the corresponding storage region of database.Sending module 33 is used for corresponding Business Stream
Number of passes is according to user equipment is sent to, to be shown.
The processing unit of operation flow data provided in this embodiment can execute the technical side of embodiment of the method shown in Fig. 1
Case, it is similar that the realization principle and technical effect are similar, and details are not described herein again.
Fig. 4 is the structural schematic diagram of the processing device embodiment two of operation flow data of the present invention, as shown in figure 4, this reality
Apply example offer operation flow data processing unit operation flow data of the present invention processing device embodiment one basis
On, further, further includes: the first memory module 41, processing module 42, the second memory module 43, roll-back module 44 and calculating
Module 45.
Further, in this embodiment obtaining module 32, it is also used to every preset time period and obtains operation flow data.
First memory module 41, for storing operation flow data into distributed file system.Processing module 42, for using
Spark Computational frame presses different data dimension parallel processing operation flow data.Second memory module 43 is used for operation flow
Data are stored in the database by different data dimension.Wherein, data dimension includes at least: process dimension；Time dimension；Tissue
Dimension；Index dimension.
Further, roll-back module 44, if restoring just for there are abnormal conditions when parallel processing operation flow data
The operation flow Data Position for abnormal conditions occur is rolled back to after reason condition continues the processing of operation flow data.
Further, receiving module 31 are also used to receive the process deadline predictions request of user equipment transmission, prediction
Process identification information is carried in request and is in nodal information.Computing module 45 is used for according to process deadline predictions request,
The stored average completion time with process identification information and in the corresponding operation flow data of nodal information is calculated, to obtain
It obtains process and completes predicted time.Sending module 33 is also used to complete predicted time to user equipment transmission flow.
The processing unit of operation flow data provided in this embodiment can execute the technical side of embodiment of the method shown in Fig. 2
Case, it is similar that the realization principle and technical effect are similar, and details are not described herein again.
Fig. 5 is the structural schematic diagram of terminal device embodiment one of the present invention, as shown in figure 5, terminal provided in this embodiment
Equipment includes: memory 51, processor 52 and computer program.
Wherein, computer program is stored in memory 51, and is configured as being executed by processor 52 to realize the present invention
Method in the processing method embodiment two of the processing method embodiment one of operation flow data or operation flow data of the present invention.
Related description can correspond to the corresponding associated description and effect of the step of referring to Fig. 1 to Fig. 2 and be understood, herein
It does not do and excessively repeats.
Wherein, in the present embodiment, memory 51 and processor 52 are connected by bus 53.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, computer
Program is executed by processor processing method embodiment one or Business Stream number of passes of the present invention to realize operation flow data of the present invention
According to processing method embodiment two in method.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of processing method of operation flow data characterized by comprising
The data acquisition request that user equipment is sent is received, carries data dimension information, the number in the data acquisition request
According in dimensional information include at least a data dimension；
Corresponding operation flow data are obtained from the corresponding storage region of database according to the data dimension information；
The corresponding operation flow data are sent to the user equipment, to be shown.
2. the method according to claim 1, wherein it is described receive user equipment send data acquisition request it
Before, further includes:
Every preset time period obtains operation flow data；
By operation flow data storage into distributed file system；
Using Spark Computational frame by operation flow data described in the parallel processing of different data dimension；
The operation flow data are stored in the database by different data dimension；
Wherein, the data dimension includes at least: process dimension；Time dimension；Organization dimensionality；Index dimension.
3. according to the method described in claim 2, it is characterized by further comprising:
If there are abnormal conditions when operation flow data described in parallel processing, the abnormal feelings of appearance are rolled back to after restoring normal condition
The operation flow Data Position of condition continues the processing of operation flow data.
4. method according to any one of claim 1-3, which is characterized in that further include:
The process deadline predictions request that user equipment is sent is received, carries process identification information and place in the predictions request
In nodal information；
According to the process deadline predictions request, calculate stored with the process identification information and in nodal information
The average completion time of corresponding operation flow data completes predicted time to obtain process；
The process, which is sent, to the user equipment completes predicted time.
5. a kind of processing unit of operation flow data characterized by comprising
Receiving module carries data dimension in the data acquisition request for receiving the data acquisition request of user equipment transmission
Information is spent, includes at least a data dimension in the data dimension information；
Module is obtained, for obtaining corresponding operation flow from the corresponding storage region of database according to the data dimension information
Data；
Sending module, for the corresponding operation flow data to be sent to the user equipment, to be shown.
6. device according to claim 5, which is characterized in that further include: the first memory module and second is deposited at processing module
Store up module；
The acquisition module is also used to every preset time period and obtains operation flow data；
First memory module, for storing the operation flow data into distributed file system；
The processing module, for pressing operation flow data described in the parallel processing of different data dimension using Spark Computational frame；
Second memory module, for storing the operation flow data in the database by different data dimension；
Wherein, the data dimension includes at least: process dimension；Time dimension；Organization dimensionality；Index dimension.
7. device according to claim 6, which is characterized in that further include:
Roll-back module, if being returned after restoring normal condition for there are abnormal conditions when operation flow data described in parallel processing
It is rolled into the operation flow Data Position for abnormal conditions occur and continues the processing of operation flow data.
8. the device according to any one of claim 5-7, which is characterized in that further include: computing module；
The receiving module is also used to receive the process deadline predictions request of user equipment transmission, in the predictions request
It carries process identification information and is in nodal information；
The computing module, for calculating the stored and process identification according to the process deadline predictions request
Information and the average completion time in the corresponding operation flow data of nodal information, complete predicted time to obtain process；
The sending module is also used to send the process to the user equipment and completes predicted time.
9. a kind of terminal device characterized by comprising
Memory, processor and computer program；
Wherein, the computer program stores in the memory, and is configured as being executed by the processor to realize such as
Method of any of claims 1-4.
10. a kind of computer readable storage medium, which is characterized in that be stored thereon with computer program, the computer program
It is executed by processor to realize such as method of any of claims 1-4.
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