CN112561368B - Visual performance calculation method and device for OA approval system - Google Patents

Visual performance calculation method and device for OA approval system Download PDF

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CN112561368B
CN112561368B CN202011534007.3A CN202011534007A CN112561368B CN 112561368 B CN112561368 B CN 112561368B CN 202011534007 A CN202011534007 A CN 202011534007A CN 112561368 B CN112561368 B CN 112561368B
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data
performance
approval system
performance data
calculating
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CN112561368A (en
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唐勇
梁家杰
李穗燕
赵艳超
王洪菊
刘会河
王志鹏
吴东平
徐智良
张柏强
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Guangdong One Health Industry Group Co ltd
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Guangdong One Health Industry Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/18—File system types
    • G06F16/182—Distributed file systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention discloses a visual performance calculation method and a visual performance calculation device for an OA approval system, wherein the method comprises the following steps: collecting performance data to a Hadoop cluster for storage, and synchronously processing a data source of the performance data; after the synchronous data source is completed, performing basic data processing on the performance data to obtain first performance data of each employee; performing synchronous data processing on the first performance data, and calculating corresponding KPI indexes; and after calculating Java configuration indexes according to the pre-requirements, calculating first performance information corresponding to each employee according to the first performance data and the KPI indexes through a data warehouse tool. According to the invention, the performance calculation logic of the OA approval system can be analyzed to realize automatic calculation of staff performance, so that the defect that the background is invisible in the scheduling of calculating performance in the prior art is overcome, visual operation control and monitoring of tasks are realized, efficient operation of performance tasks is ensured, performance calculation efficiency is improved, and maintenance cost is reduced.

Description

Visual performance calculation method and device for OA approval system
Technical Field
The invention relates to the technical field of computer information, in particular to a visual performance calculation method and device for an OA approval system.
Background
In the process of performance management of staff by enterprises, the performance of the staff needs to be checked to quantify the performance completed by the staff. The traditional assessment method uses manual assessment or semi-automatic assessment, and all enterprises at present calculate the performance of staff through a proprietary OA approval system.
However, in the research and practice process of the prior art, the inventor of the present invention finds that, because the existing OA system needs to consume a lot of time and manpower resources, and because non-objective factors exist in the traditional assessment method, deviation occurs in the assessment result, which affects the accuracy of the assessment; in addition, in the existing OA system, the scheduling task for calculating performance adopts a background invisible mode, which results in lower calculation efficiency of the performance task, cannot guarantee efficient operation of the performance task, and easily results in increase of maintenance cost. Accordingly, there is a need for a performance calculation method for OA approval systems that overcomes the above-described drawbacks.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide a visual performance calculation method and a visual performance calculation device for an OA approval system, which can realize automatic calculation of staff performance after analyzing performance calculation logic of the OA approval system, and realize visual operation control and monitoring of tasks.
To solve the above problems, a first aspect of an embodiment of the present invention provides a visual performance calculation method for an OA approval system, including at least the following steps:
collecting performance data to a Hadoop cluster for storage, and synchronously processing a data source of the performance data;
after the synchronous data source is completed, performing basic data processing on the performance data to obtain first performance data of each employee;
performing synchronous data processing on the first performance data, and calculating corresponding KPI indexes;
and after calculating Java configuration indexes according to the pre-requirements, calculating first performance information corresponding to each employee according to the first performance data and the KPI indexes through a data warehouse tool.
In a possible implementation manner of the first aspect, the visual performance calculation method for an OA approval system further includes:
and after the data synchronization tool performs data synchronization on the performance data, the first performance data and the first performance information, updating the data to the OA approval system.
In a possible implementation manner of the first aspect, after the data synchronization, the method further includes:
and calculating tax data corresponding to each employee according to the performance data, the first performance data and the first performance information.
In a possible implementation manner of the first aspect, the visual performance calculation method for an OA approval system further includes:
and combining a background data interface and a front end of the OA approval system to perform visual operation on the dependency relationship, the scheduling time and the running state of each flow in the OA approval system.
In a possible implementation manner of the first aspect, the visual performance calculation method for an OA approval system further includes:
analyzing the execution time of each flow in the OA approval system according to the Cron expression, and automatically running the task corresponding to each flow when the preset trigger time is reached.
In a possible implementation manner of the first aspect, the visual performance calculation method for an OA approval system further includes:
and acquiring the running condition and running progress of the task corresponding to each flow in real time, and generating corresponding log information and error reporting information.
In a possible implementation manner of the first aspect, the visual performance calculation method for an OA approval system further includes:
after the error reporting information is acquired, the alarm information is automatically sent to a manager interface of the OA approval system, so that visualized data correction processing is carried out through the manager interface.
In a possible implementation manner of the first aspect, the synchronous data source is specifically:
and synchronizing a data source for acquiring performance data in the OA approval system through the Sqoop component and the Jdbc connection mode.
In a possible implementation manner of the first aspect, the calculating a Java configuration index according to a pre-requirement specifically includes:
according to the field and the statistical logic of the page configuration of the OA approval system, an SQL sentence which is corresponding to update is generated, and the statistical data is automatically updated by operating the SQL sentence.
The second aspect of the embodiment of the present invention also provides a visual performance calculation apparatus for an OA approval system, including:
the data acquisition module is used for acquiring and storing the performance data into the Hadoop cluster and synchronously processing the data source of the performance data;
the basic data processing module is used for performing basic data processing on the performance data after the synchronous data source is completed to obtain first performance data of each employee;
the KPI calculating module is used for carrying out synchronous data processing on the first performance data and calculating corresponding KPI;
and the performance information calculation module is used for calculating the first performance information corresponding to each employee according to the first performance data and the KPI through the data warehouse tool after calculating Java configuration indexes according to the pre-requirements.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a visual performance calculation method and a visual performance calculation device for an OA approval system, wherein the method comprises the following steps: collecting performance data to a Hadoop cluster for storage, and synchronously processing a data source of the performance data; after the synchronous data source is completed, performing basic data processing on the performance data to obtain first performance data of each employee; performing synchronous data processing on the first performance data, and calculating corresponding KPI indexes; and after calculating Java configuration indexes according to the pre-requirements, calculating first performance information corresponding to each employee according to the first performance data and the KPI indexes through a data warehouse tool.
Compared with the prior art, the embodiment of the invention can realize the automatic calculation of staff performance after analyzing the performance calculation logic of the OA approval system, solve the defect that the background is invisible when the scheduling of the calculated performance in the prior art is considered, realize the visual operation control and monitoring of the task, ensure the efficient operation of the performance task, improve the performance calculation efficiency and reduce the maintenance cost.
Drawings
FIG. 1 is a schematic flow chart of a visual performance calculation method for an OA approval system according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a visual performance calculating apparatus for OA approval system according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In the description of the present application, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or an implicit indication of the number of technical features being indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
Firstly, the application scene that the invention can provide, such as visual operation control and monitoring for realizing performance calculation tasks in an OA approval system, is introduced.
First embodiment of the present invention:
please refer to fig. 1.
As shown in fig. 1, the present embodiment provides a visual performance calculation method for an OA approval system, which at least includes the following steps:
s1, acquiring performance data to a Hadoop cluster for storage, and synchronously processing a data source of the performance data.
Specifically, for step S1, firstly, relevant data, such as data of orders, performance, clients, etc., are stored in the hadoop cluster, and synchronous data sources are performed.
And S2, after the synchronous data source is completed, performing basic data processing on the performance data to obtain first performance data of each employee.
In a preferred embodiment, the synchronous data source is specifically:
and synchronizing a data source for acquiring performance data in the OA approval system through the Sqoop component and the Jdbc connection mode.
Specifically, for step S2, according to the combing of the performance logic of the OA system, basic data processing is performed on the performance data to obtain monthly performance data of each employee, and in the actual process, the method further includes combing the monthly performance data of each employee to obtain pioneers, innovation team data and innovation team data fees, and after the combing is completed, performing synchronous data processing on all the data.
Wherein, basic data processing includes: summarizing performance data, customer numbers, call data, new customer data, package withdrawal data, refund data, product rewards, collected express delivery fees and upper and lower hierarchical relations of each employee and upper level, and associating the obtained express delivery fees and upper and lower hierarchical relations to a database table mainly through SQL.
S3, carrying out synchronous data processing on the first performance data, and calculating corresponding KPI indexes.
Specifically, for step S3, synchronization data processing is performed on the month performance data obtained after the basic data processing, and the month performance data is synchronized to the OA approval system, and KPI indexes corresponding to each user are calculated.
And S4, calculating Java configuration indexes according to the pre-requirements, and then calculating first performance information corresponding to each employee according to the first performance data and the KPI indexes through a data warehouse tool.
In a preferred embodiment, the calculating Java configuration index according to the pre-requirement specifically includes:
according to the field and the statistical logic of the page configuration of the OA approval system, an SQL sentence which is corresponding to update is generated, and the statistical data is automatically updated by operating the SQL sentence.
Specifically, for step S4, the manager may manually and temporarily process the related requirements, and calculate, through the data warehouse tool hive, first performance information corresponding to each employee according to the first performance data and KPI indicators, where the first performance information includes a series of data such as total performance, the number of customers, and the number of orders. The main calculation is processed in a cluster such as hadoop, hive, mysql, sqlserver, and since hive cannot support the update operation well, some subsequent update operations are carried out at mysql, sqlserver, such as calculating information of individual tax and performance wages.
Specifically, the java configuration index calculation mainly generates an update SQL sentence according to related fields and statistical logic configured by an interface, runs the SQL sentence, and performs update operation on the statistical data.
In a preferred embodiment, the visual performance calculation method for OA approval system further includes:
and S5, after the data synchronization of the performance data, the first performance data and the first performance information is carried out through a data synchronization tool, updating the data to the OA approval system.
Specifically, for step S5, after the OA approval system performs corresponding data processing, for example, basic data processing, synchronization data and performance calculation, the data needs to be synchronously processed, and updated to the OA approval system in real time.
In a preferred embodiment, after the data synchronization, further comprising:
and S6, calculating tax data corresponding to each employee according to the performance data, the first performance data and the first performance information.
Specifically, for step S6, monthly individual tax data of the staff is calculated according to the performance data, the monthly performance data and the reading performance information, and synchronous data processing is performed to update to the OA approval system.
In a preferred embodiment, the visual performance calculation method for OA approval system further includes:
and S7, combining a background data interface and a front end of the OA approval system, and performing visual operation on the dependency relationship, the scheduling time and the running state of each flow in the OA approval system.
Specifically, for step S7, in order to solve the problem that in the OA system, the background of the scheduling task for calculating performance is invisible, the dependency relationship, the scheduling time and the running state in performance are visualized. And the visual operation and monitoring interface of the task is realized through the combination of the background data interface and the front end.
In a preferred embodiment, the visual performance calculation method for OA approval system further includes:
s8, analyzing the execution time of each flow in the OA approval system according to the Cron expression, and automatically running the task corresponding to each flow when the preset trigger time is reached.
Specifically, for step S8, the execution time of the task is parsed according to the cron expression, and the task is run when the trigger time is reached.
In a preferred embodiment, the visual performance calculation method for OA approval system further includes:
s9, acquiring the running condition and running progress of the task corresponding to each flow in real time, and generating corresponding log information and error reporting information.
Specifically, for step S9, the running condition and running progress of each process task are obtained in real time through monitoring the OA approval system, so that the manager can obtain the running condition and running progress of the task in time.
In a preferred embodiment, the visual performance calculation method for OA approval system further includes:
and S10, after the error reporting information is acquired, automatically sending alarm information to a manager interface of the OA approval system so as to carry out visualized data correction processing through the manager interface.
Specifically, for step S10, when a task is performed, error reporting information occurs when an error reporting occurs. When the error information is reported, a background program captures the error and pushes the error into the nail group. When the next task depending on the task is executed, whether the previous task is successful or not is judged, if so, the task is executed, and if not, the task waits until the task is finished, and the task is not executed. After the system sends the error reporting information, the system can quickly respond and process in time, so that subsequent invalid data processing is avoided, and the maintenance cost is reduced.
The visual performance calculation method for the OA approval system provided by the embodiment comprises the following steps: collecting performance data to a Hadoop cluster for storage, and synchronously processing a data source of the performance data; after the synchronous data source is completed, performing basic data processing on the performance data to obtain first performance data of each employee; performing synchronous data processing on the first performance data, and calculating corresponding KPI indexes; and after calculating Java configuration indexes according to the pre-requirements, calculating first performance information corresponding to each employee according to the first performance data and the KPI indexes through a data warehouse tool.
According to the embodiment, visual operation control of the tasks is realized through combing and analyzing performance logic of the OA approval system, efficient operation of the performance tasks is guaranteed, calculation efficiency is improved, and maintenance cost is reduced. The method can quickly respond and timely process the newly increased demands and demand adjustment of the company. Thereby realizing the fast understanding of the dependency relationship between the OA performance flow and the task; each flow can inquire corresponding log information or error reporting information; for some tasks, the system can run in parallel, so that the computing performance of the system is improved; the OA performance task is executed strictly according to the dependency relationship of the task, so that the progress of OA performance operation can be known quickly.
Second embodiment of the present invention:
please refer to fig. 2.
As shown in fig. 2, the present embodiment provides a visual performance calculating apparatus for an OA approval system, including:
the data acquisition module 100 is configured to acquire performance data to store in the Hadoop cluster, and perform synchronous processing on a data source of the performance data.
Specifically, for the data acquisition module 100, related data, such as data of orders, performance, clients, etc., are first stored in the hadoop cluster, and synchronous data sources are performed.
And the basic data processing module 200 is configured to perform basic data processing on the performance data after completing the synchronous data source, so as to obtain first performance data of each employee.
Specifically, for the basic data processing module 200, according to the combing of the performance logic of the OA system, basic data processing is performed on the performance data to obtain monthly performance data of each employee, and in the actual process, the method further includes combing the monthly performance data of each employee to obtain pioneers, innovation team data and innovation team data fees, and after the combing is completed, performing synchronous data processing on all the data.
And the KPI index calculation module 300 is configured to perform synchronous data processing on the first performance data, and calculate a corresponding KPI index.
Specifically, for the KPI index calculation module 300, the month performance data obtained after the basic data processing is subjected to synchronous data processing, and is synchronized to the OA approval system, and KPI indexes corresponding to each user are calculated.
The performance information calculating module 400 is configured to calculate, according to the pre-requirement, java configuration indexes, and then calculate, through a data warehouse tool, first performance information corresponding to each employee according to the first performance data and KPI indexes.
Specifically, for the performance information calculation module 400, the manager may manually and temporarily process the related requirements, and calculate, through the data warehouse tool hive, the first performance information corresponding to each employee according to the first performance data and the KPI indicator, where the first performance information includes a series of data such as total performance, the number of clients, and the number of orders. The main calculation is processed in a cluster such as hadoop, hive, mysql, sqlserver, and since hive cannot support the update operation well, some subsequent update operations are carried out at mysql, sqlserver, such as calculating information of individual tax and performance wages.
The visual performance calculating device for an OA approval system provided in this embodiment includes: the data acquisition module is used for acquiring and storing the performance data into the Hadoop cluster and synchronously processing the data source of the performance data; the basic data processing module is used for performing basic data processing on the performance data after the synchronous data source is completed to obtain first performance data of each employee; the KPI calculating module is used for carrying out synchronous data processing on the first performance data and calculating corresponding KPI; and the performance information calculation module is used for calculating the first performance information corresponding to each employee according to the first performance data and the KPI through the data warehouse tool after calculating Java configuration indexes according to the pre-requirements.
According to the embodiment, visual operation control of the tasks can be realized through combing and analyzing performance logic of the OA approval system, efficient operation of the performance tasks is guaranteed, calculation efficiency is improved, and maintenance cost is reduced. The method can quickly respond and timely process the newly increased demands and demand adjustment of the company. Thereby realizing the fast understanding of the dependency relationship between the OA performance flow and the task; each flow can inquire corresponding log information or error reporting information; for some tasks, the system can run in parallel, so that the computing performance of the system is improved; the OA performance task is executed strictly according to the dependency relationship of the task, so that the progress of OA performance operation can be known quickly.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the modules may be divided into a logic function, and there may be other division manners in actual implementation, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
While the foregoing is directed to the preferred embodiments of the present invention, it should be noted that modifications and variations could be made by those skilled in the art without departing from the principles of the present invention, and such modifications and variations are to be regarded as being within the scope of the invention.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.

Claims (6)

1. A visual performance computing method for an OA approval system, comprising at least the steps of:
collecting performance data to a Hadoop cluster for storage, and synchronously processing a data source of the performance data;
after the synchronous data source is completed, performing basic data processing on the performance data to obtain first performance data of each employee;
performing synchronous data processing on the first performance data, and calculating corresponding KPI indexes;
after Java configuration indexes are calculated according to the pre-requirements, calculating first performance information corresponding to each employee according to the first performance data and the KPI indexes through a data warehouse tool;
the performance data, the first performance data and the first performance information are subjected to data synchronization through a data synchronization tool and then updated to the OA approval system;
calculating tax data corresponding to each employee according to the performance data, the first performance data and the first performance information;
the method comprises the steps that through combination of a background data interface and a front end of the OA approval system, the dependency relationship, the scheduling time and the running state of each flow in the OA approval system are subjected to visual operation;
analyzing the execution time of each flow in the OA approval system according to the Cron expression, and automatically running the task corresponding to each flow when the preset trigger time is reached.
2. A visual performance computing method for an OA approval system of claim 1, further comprising:
and acquiring the running condition and running progress of the task corresponding to each flow in real time, and generating corresponding log information and error reporting information.
3. A visual performance computing method for an OA approval system of claim 2, further comprising:
after the error reporting information is acquired, the alarm information is automatically sent to a manager interface of the OA approval system, so that visualized data correction processing is carried out through the manager interface.
4. The visual performance calculation method for OA approval system of claim 1, wherein the synchronization data source is specifically:
and synchronizing a data source for acquiring performance data in the OA approval system through the Sqoop component and the Jdbc connection mode.
5. The visual performance calculation method for OA approval system of claim 1, wherein the Java configuration index is calculated according to the pre-requirements, specifically:
according to the field and the statistical logic of the page configuration of the OA approval system, an SQL sentence which is corresponding to update is generated, and the statistical data is automatically updated by operating the SQL sentence.
6. A visual performance computing device for an OA approval system, comprising:
the data acquisition module is used for acquiring and storing the performance data into the Hadoop cluster and synchronously processing the data source of the performance data;
the basic data processing module is used for performing basic data processing on the performance data after the synchronous data source is completed to obtain first performance data of each employee;
the KPI calculating module is used for carrying out synchronous data processing on the first performance data and calculating corresponding KPI;
the performance information calculation module is used for calculating first performance information corresponding to each employee according to the first performance data and the KPI through the data warehouse tool after calculating Java configuration indexes according to the pre-requirements;
the data synchronization module is used for updating the performance data, the first performance data and the first performance information to the OA approval system after data synchronization is carried out on the performance data, the first performance data and the first performance information through a data synchronization tool;
the tax data calculation module is used for calculating tax data corresponding to each employee according to the performance data, the first performance data and the first performance information;
the visual operation module is used for combining a background data interface and a front end of the OA approval system to perform visual operation on the dependency relationship, the scheduling time and the running state of each flow in the OA approval system;
and the task time monitoring module is used for analyzing the execution time of each flow in the OA approval system according to the Cron expression, and automatically running the task corresponding to each flow when the preset trigger time is reached.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106067091A (en) * 2016-06-02 2016-11-02 中国农业银行股份有限公司 Enterprise Institutions checking system and method
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CN110209646A (en) * 2019-05-14 2019-09-06 汇通达网络股份有限公司 A kind of data platform system calculated based on real-time streaming

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