CN108549577A - Intelligent scheduling business data processing method - Google Patents
Intelligent scheduling business data processing method Download PDFInfo
- Publication number
- CN108549577A CN108549577A CN201810364043.6A CN201810364043A CN108549577A CN 108549577 A CN108549577 A CN 108549577A CN 201810364043 A CN201810364043 A CN 201810364043A CN 108549577 A CN108549577 A CN 108549577A
- Authority
- CN
- China
- Prior art keywords
- intelligent scheduling
- job
- scheduling
- intelligent
- processing method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
Abstract
Intelligent scheduling business data processing method of the present invention, includes the following steps：1）Intelligent scheduling configures：Carry out job and job group configurations；2）Intelligent scheduling executes：According to scheduling configuration information, according to the time of selection, intelligent scheduling is carried out in a manner of job group and starts Java multithreadings, parallel processing corresponding service data；It is " P " state to be started by intelligent scheduling, if running the state " P " that can successfully allow>" F ", if running the state " P " that can unsuccessfully allow>"E"；3）Intelligent scheduling monitors：Intelligent scheduling business processing, while recording implementing result.
Description
Technical field
The present invention relates to software data processing method technical fields, specifically, it shows a kind of intelligent scheduling business datum
Processing method.
Background technology
In each software systems, there are many business datum needs to operate and handle in particular point in time, especially in finance
Especially prominent in the software systems in field, this is just that some specific business data processings propose requirements at the higher level.
Refering to fig. 1, service data manipulating processing at this stage needs to configure the artificial progress service data manipulating of multigroup operation
Processing；However in large-scale application system, since business datum scene is different, data volume is more, manually handles, workload
Big exist simultaneously increases error rate.
Therefore, it is necessary to provide a kind of intelligent scheduling business data processing method to solve the above problems.
Invention content
The object of the present invention is to provide a kind of intelligent scheduling business data processing methods.
The present invention is achieved through the following technical solutions above-mentioned purpose：
A kind of intelligent scheduling business data processing method, includes the following steps：
1）Intelligent scheduling configures：Carry out job and job group configurations；
2）Intelligent scheduling executes：Intelligent tune is carried out in a manner of job group according to the time of selection according to scheduling configuration information
Degree starts Java multithreadings, parallel processing corresponding service data；
It is " P " state to be started by intelligent scheduling, if running the state " P "-that can successfully allow>" F ", if operation can unsuccessfully allow
State " " P "->"E"；
3）Intelligent scheduling monitors：Intelligent scheduling business processing, while recording implementing result.
Further, step 1）In, which job group the job that job is configured to set scheduling is contained in, needs simultaneously
Which job relied on.
Further, step 1）In, job group are configured to be arranged the scheduling group method of operation, including/years months/
Day/hour/minute；Which simultaneously need that job group relied on.
Further, step 3）Specifically, the inquiry mode for providing related dispatching and monitoring carries out effective detection scheduling fortune
Row situation, while the stroke count of successfully/failure can be counted, if operation failure, can show operation failure cause.
Further, step 3）Further include the manual operating mechanism of JOB GROUP scheduling offers for being directed to failure simultaneously, so as to
Again processing failure data make it handle successfully.
Compared with prior art, the present invention applies in large-scale application system so that manually effectively combines and grasps with intelligence
Make, reaches a kind of working specification of quick efficiency.Under internet high speed development instantly, some are time-consuming, and repeated processing is most
Amount allows machine intelligence to handle, and Intelligent treatment provides quickly when handling big data for system, and accurately, safety etc. all provides necessary
It ensures, while also largely reducing manual operation, whole human cost is made also to greatly reduce.
Description of the drawings
Fig. 1 is the schematic diagram of existing data processing method.
Fig. 2 is the step schematic diagram of the present invention.
Specific implementation mode
Embodiment：
Referring to Fig. 2, a kind of intelligent scheduling business data processing method, includes the following steps：
1）Intelligent scheduling configures：Carry out job and job group configurations；
2）Intelligent scheduling executes：Intelligent tune is carried out in a manner of job group according to the time of selection according to scheduling configuration information
Degree starts Java multithreadings, parallel processing corresponding service data；
It is " P " state to be started by intelligent scheduling, if running the state " P "-that can successfully allow>" F ", if operation can unsuccessfully allow
State " " P "->"E"；
3）Intelligent scheduling monitors：Intelligent scheduling business processing, while recording implementing result.
Step 1）In, which job group the job that job is configured to set scheduling is contained in, while needing which is relied on
job；
Job group are configured to that the scheduling group method of operation, including/Year/Month/Day/hour/minute is arranged；Simultaneously need according to
Which job group relied.
Step 3）Specifically, the inquiry mode for providing related dispatching and monitoring carries out effective detection management and running situation, together
When can count successfully/failure stroke count, if operation failure, can show operation failure cause；
Step 3）Further include being directed to the JOB GROUP scheduling of failure simultaneously to provide manual operating mechanism, so as to processing failure again
Data make it handle successfully.
Compared with prior art, the present embodiment is applied in large-scale application system so that is manually effectively combined and is grasped with intelligence
Make, reaches a kind of working specification of quick efficiency.Under internet high speed development instantly, some are time-consuming, and repeated processing is most
Amount allows machine intelligence to handle, and Intelligent treatment provides quickly when handling big data for system, and accurately, safety etc. all provides necessary
It ensures, while also largely reducing manual operation, whole human cost is made also to greatly reduce.
Above-described is only some embodiments of the present invention.For those of ordinary skill in the art, not
Under the premise of being detached from the invention design, various modifications and improvements can be made, these belong to the protection model of the present invention
It encloses.
Claims (5)
1. a kind of intelligent scheduling business data processing method, it is characterised in that：Include the following steps：
1) intelligent scheduling configures：Carry out job and job group configurations；
2) intelligent scheduling executes：Intelligent tune is carried out in a manner of job group according to the time of selection according to scheduling configuration information
Degree starts Java multithreadings, parallel processing corresponding service data；
It is " P " state to be started by intelligent scheduling, if running the state " P "-that can successfully allow>" F ", if operation can unsuccessfully allow
State " " P "->"E"；
3) intelligent scheduling monitors：Intelligent scheduling business processing, while recording implementing result.
2. a kind of intelligent scheduling business data processing method according to claim 1, it is characterised in that：In step 1), job
Which job group the job for being configured to set scheduling is contained in, while needing which job relied on.
3. a kind of intelligent scheduling business data processing method according to claim 2, it is characterised in that：In step 1), job
Group is configured to that the scheduling group method of operation, including/Year/Month/Day/hour/minute is arranged；Which simultaneously need that job relied on
group。
4. a kind of intelligent scheduling business data processing method according to claim 3, it is characterised in that：Step 3) is specific
For the inquiry mode for providing related dispatching and monitoring carries out effective detection management and running situation, while can count successfully/failure
Stroke count, if operation failure, can show operation failure cause.
5. a kind of intelligent scheduling business data processing method according to claim 4, it is characterised in that：Step 3) further includes
Manual operating mechanism is provided for the JOB GROUP scheduling of failure simultaneously, so that processing failure data make it handle successfully again.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810364043.6A CN108549577A (en) | 2018-04-23 | 2018-04-23 | Intelligent scheduling business data processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810364043.6A CN108549577A (en) | 2018-04-23 | 2018-04-23 | Intelligent scheduling business data processing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108549577A true CN108549577A (en) | 2018-09-18 |
Family
ID=63512142
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810364043.6A Pending CN108549577A (en) | 2018-04-23 | 2018-04-23 | Intelligent scheduling business data processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108549577A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111930478A (en) * | 2020-06-08 | 2020-11-13 | 北京每日优鲜电子商务有限公司 | Service calling method and device based on dynamic bytecode |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104834506A (en) * | 2015-05-15 | 2015-08-12 | 北京北信源软件股份有限公司 | Method for processing business application through multiple threads |
| CN105677462A (en) * | 2015-12-30 | 2016-06-15 | 生迪光电科技股份有限公司 | Distributed task system based on internet of things and business processing method |
| CN106484520A (en) * | 2016-10-17 | 2017-03-08 | 北京集奥聚合科技有限公司 | A kind of intelligent dispatching method based on data blood relationship and system |
| CN107506906A (en) * | 2017-08-02 | 2017-12-22 | 贵州工程应用技术学院 | A kind of task intelligent scheduling engine design method based on data processing |
-
2018
- 2018-04-23 CN CN201810364043.6A patent/CN108549577A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104834506A (en) * | 2015-05-15 | 2015-08-12 | 北京北信源软件股份有限公司 | Method for processing business application through multiple threads |
| CN105677462A (en) * | 2015-12-30 | 2016-06-15 | 生迪光电科技股份有限公司 | Distributed task system based on internet of things and business processing method |
| CN106484520A (en) * | 2016-10-17 | 2017-03-08 | 北京集奥聚合科技有限公司 | A kind of intelligent dispatching method based on data blood relationship and system |
| CN107506906A (en) * | 2017-08-02 | 2017-12-22 | 贵州工程应用技术学院 | A kind of task intelligent scheduling engine design method based on data processing |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111930478A (en) * | 2020-06-08 | 2020-11-13 | 北京每日优鲜电子商务有限公司 | Service calling method and device based on dynamic bytecode |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105302638B (en) | MPP cluster task dispatching method based on system load | |
| CN108989238A (en) | A kind of method and relevant device for distributing service bandwidth | |
| CN106209482A (en) | A kind of data center monitoring method and system | |
| CN106802826A (en) | A kind of method for processing business and device based on thread pool | |
| CN108520316A (en) | A kind of data-optimized processing method of overload alarm | |
| IL182824A0 (en) | Method for managing resources in a platform for the telecommunication service and/or network management, corresponding platform and computer program product thereof | |
| CN102902589B (en) | The management of a kind of cluster MIC operation and dispatching method | |
| CN102591765A (en) | Progress automatic management system | |
| CN107577534A (en) | A kind of resource regulating method and device | |
| CN107992392A (en) | A kind of automatic monitoring repair system and method for cloud rendering system | |
| CN108197849A (en) | A kind of intelligent worksheet processing system and worksheet processing method based on automation | |
| CN108563455A (en) | Middleware portion arranging method, system and equipment in a kind of K-UX operating systems | |
| CN104657150A (en) | Automatic operation and maintenance method under cluster environment | |
| CN110262881A (en) | A kind of submission method and device of Spark operation | |
| EP3118784A1 (en) | Method and system for enabling dynamic capacity planning | |
| CN103023980A (en) | Method and system for processing user service request by cloud platform | |
| CN103823719A (en) | Distributed cloud computing system and distributed cloud computing method for executable program | |
| CN108459923A (en) | A kind of more equipment operation management methods based on Actor models | |
| De et al. | Task management in the new ATLAS production system | |
| CN107547608A (en) | Distributed task scheduling treating method and apparatus | |
| CN108549577A (en) | Intelligent scheduling business data processing method | |
| CN111240819A (en) | Dispatching task issuing system and method | |
| CN107844924A (en) | A kind of execution method, apparatus and medium for controlling workflow | |
| CN107729218A (en) | A kind of system and method for monitoring processing computing resource equipment | |
| CN112541746A (en) | Full-stack automatic arrangement method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180918 |
|
| WD01 | Invention patent application deemed withdrawn after publication |