CN106874090A - Job scheduling method and system based on cloud system - Google Patents
Job scheduling method and system based on cloud system Download PDFInfo
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- CN106874090A CN106874090A CN201710058205.9A CN201710058205A CN106874090A CN 106874090 A CN106874090 A CN 106874090A CN 201710058205 A CN201710058205 A CN 201710058205A CN 106874090 A CN106874090 A CN 106874090A
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- job
- scheduling
- job scheduling
- cloud system
- zookeeper
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Classifications
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- 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
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1479—Generic software techniques for error detection or fault masking
- G06F11/1489—Generic software techniques for error detection or fault masking through recovery blocks
-
- 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
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
- G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
Abstract
The present invention relates to a kind of job scheduling method based on cloud system and system, its method includes that the Zookeeper that job scheduling application is disposed in the cluster is serviced and is registered that the Zookeeper services disposed in cluster confirm that the job scheduling application in the cluster can be enabled；After succeeding in registration, token is obtained, and inquire about the corresponding job scheduling allocation list of the token；The treatment the job list for treating schedule job is obtained by job scheduling allocation list；Schedule job is treated in execution, and scheduling result is fed back into scheduler module after the completion of scheduling；The distributed task dispatching solved the problems, such as in cloud system in the present invention, support real-time task, timed task and crontab tasks, there are preferable retractility, autgmentability, healthy and strong stability, clustering management and scheduling can be realized to the job task of cloud system, effective prevention Single Point of Faliure, realizes that management and running are highly usable, also achieves comprehensive monitoring operation, execution efficiency is improve, makes operation maintenance intuitively efficient.
Description
Technical field
The present invention relates to computer and the communications field, more particularly to a kind of job scheduling method based on cloud system and it is
System.
Background technology
Cloud system is that cloud computing using effect is realized under LAN backbone using international pioneering HFP and HDRDP technologies
New Generation for General Computer system product.Cloud system, is number of units after cloud computing also known as cloud computing center operating system, cloud OS
According to the holistic management operation system at center.When carrying out job scheduling in cloud system, often processed all in units of cluster.
Crontab orders are common among the operating system of Unix and class Unix, for setting the instruction being periodically performed.The order
Read from standard input device and instructed, and deposited in " crontab " file, read for after and perform, crontab
File includes a series of operations and instruction for delivering cron finger daemons.But, the crontab scheduling that system is carried can only be in list
Performed on one node, and do not possess flexible, extension, High Availabitity ability, certain difficulty is brought to system business and O＆M, because
This, needs a kind of new technological means badly, can solve the problem that above-mentioned technical problem.
The content of the invention
The present invention provides a kind of job scheduling method and system based on cloud system, to solve above-mentioned technical problem.
The technical scheme that the present invention solves above-mentioned technical problem is as follows：
A kind of job scheduling method based on cloud system, including：
A. scheduler module is registered by Zookeeper servers, confirms whether job scheduling enables, described
The Zookeeper services of Zookeeper servers are clustered deploy(ment)；
B. after succeeding in registration, token is obtained, and inquire about the corresponding job scheduling allocation list of the token；
C. the treatment the job list for treating schedule job is obtained by job scheduling allocation list；
D. perform and treat schedule job, scheduling result is fed back into scheduler module after the completion of scheduling.
Further, also include carrying out multiple threads to treatment the job list according to concurrent processing field in step c, and it is right
Treatment the job list in each thread carries out prioritization, and each thread loops process the job list.
By multiple threads, and business configuration data and number of results are carried using the shared characteristic of distributed memory database
According to, used for cloud operation platform by the way that returning result is deposited into the result set in distributed memory database, improve treatment speed
Degree.
Further, the scheduler module is multiple, for schedule job equally loaded, scheduler module to be matched somebody with somebody to job scheduling
The job configuration information put in table is verified, and whether each field meets call format in judging configuration information.
By verification, exclusion does not meet the job configuration information of call format, reduces garbage treatment, lifting system speed
Degree.
Further, the job configuration information is parsed, obtains processing time period, and according to week default time
Whether phase threshold decision processing time period is effective；
If judged result is invalid, next operation is processed；
If judged result is effective, result set table is read, this cycle untreated complete data are judged whether, if depositing
, then terminate this treatment, process next operation.
It is convenient for the management of job task clustering and scheduling.
Further, when job configuration information meets the requirements and processing time period is effective, if there is no this cycle not
The data for having processed, then be inserted into result set table, process cycle of the record comprising this operation, and will process state by result record
Original state is set to, the operation is locked.
Avoid carrying out repetitive schedule treatment, waste system resource.
Further, after scheduler module gets feedback result, job scheduling result set table is updated, and operation is adjusted
Degree result set table and job configuration information are stored respectively in distributed memory database.
Business configuration data and result data are carried using the shared characteristic of distributed memory database, makes dispatching and monitoring service
It is relatively reliable.Further, the Zookeeper servers include primary server and standby server, the standby server
For after cluster interior joint exception is supported, adapter primary server to be operated, business configuration data and result set table are distinguished
It is carried on distributed memory database.
The redundancy ability of raising system.
The present invention also provides a kind of job scheduling system based on cloud system, including：
Zookeeper servers, for providing registration service, confirm whether schedule job enables, the Zookeeper clothes
The Zookeeper services of business device are clustered deploy(ment)；
Scheduler module, for obtaining the treatment the job list for treating schedule job by job scheduling allocation list, treats tune
Degree operation is scheduled, and the scheduler module is multiple；
Feedback module, for scheduling result to be fed back into scheduler module after the completion of scheduling.
Further, also include：
Correction verification module, for being verified to the job configuration information in job scheduling allocation list；
Parsing module, for being parsed to the job configuration information, obtains processing time period, and according to default
Time period threshold judges whether processing time period is effective；
If judged result is invalid, next operation is processed；
If judged result is effective, result set table is read, this cycle untreated complete data are judged whether, if depositing
, then terminate this treatment, process next operation.
Further, the Zookeeper servers include primary server and standby server, and the standby server is used
In when support cluster interior joint exception after, adapter primary server is operated, the Zookeeper servers be provided with for
Carry the distributed memory database of business configuration data and result set table.
The beneficial effects of the invention are as follows：Job scheduling method based on cloud system and system in the present invention, solve cloud
Distributed task dispatching problem in system, supports real-time task, timed task and crontab tasks, there is preferable retractility,
Autgmentability, healthy and strong stability can realize that clustering is managed and scheduling, effective prevention single-point event to the job task of cloud system
Barrier, realizes that management and running are highly usable, also achieves comprehensive monitoring operation, improves execution efficiency, makes operation maintenance directly perceived
Efficiently.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the job scheduling method based on cloud system of the embodiment of the present invention.
Fig. 2 is the structural representation of the job scheduling system based on cloud system of the embodiment of the present invention.
Specific embodiment
Principle of the invention and feature are described below in conjunction with accompanying drawing, example is served only for explaining the present invention, and
It is non-for limiting the scope of the present invention.
As shown in figure 1, the job scheduling method based on cloud system in the present embodiment, including：
A. scheduler module is registered by Zookeeper servers, confirms whether job scheduling enables, described
Zookeeper servers are clustered deploy(ment)；
B. after succeeding in registration, token is obtained, and inquire about the corresponding job scheduling allocation list of the token；
C. the treatment the job list for treating schedule job is obtained by job scheduling allocation list；
D. perform and treat schedule job, scheduling result is fed back into scheduler module after the completion of scheduling.
In the present embodiment, the High Availabitity that dispatching and monitoring is serviced is realized using Zookeeper, after starting scheduler task, first
Registered in the Zookeeper services of clustered deploy(ment), if registration failure, directly exited process, after succeeding in registration, obtained
Token, inquires about token correspondence job scheduling allocation list, obtains the process and processes the job list, is started according to treatment the job list
Schedule job is performed, and engagement outcome is returned after the completion of operation to scheduler module.The present embodiment can be concentrated real in system cluster
Business logic processing operation is now pressed, support is specified and periodically performs some operations, realizes class crontab management and running functions,
Effective anti-Single Point of Faliure, realizes management and running High Availabitity, and can realize comprehensive monitoring operation, feelings containing job run
Condition, execution efficiency, and output operation implementation status can be concentrated to alert and error feedback.
In the present embodiment, also include carrying out at multithreading treatment the job list according to concurrent processing field in step c
Reason, and prioritization is carried out to the treatment the job list in each thread, each thread loops process the job list.Foundation is concurrently located
Reason field consolidation multiple threads, each thread task list sorts by processing priority, and each thread loops process the job list.
In the present embodiment, by multiple threads, and business configuration data and knot are carried using the shared characteristic of distributed memory database
Fruit data, are used by the way that returning result is deposited into the result set in distributed memory database for cloud operation platform, process operation
The priority of list is ranked up according to the priority of predecessor's business, performs successively.
In the present embodiment, scheduler module is multiple, for schedule job equally loaded, scheduler module to be to job scheduling
Job configuration information in allocation list is verified, and whether each field meets call format, certain user in judging configuration information
Can also as needed, self-defined scheduler module responsible schedule job quantity, it would however also be possible to employ same schedule job, adopt
The mode being collectively responsible for multiple scheduler modules.The field of configuration information includes the information such as time and frequency in the present embodiment, can
To judge whether to meet the requirements by the following method, for example：
Point：0-59 (makes) for 60 minutes
When：0-23 (makes) for 24 hours
Day：1-31 (one month most 31 days)
Month：1-12 (12 months 1 year)
Week：0-7 (week, 0 or 7 interval scale Sunday)
“*”：Asterisk, representing any moment all receives；
", "：Comma, represents the meaning of segmentation period；
“-”：Minus sign, represents a period of time scope；
“/n”：Slash n, n represent numeral, i.e., performed once every how many minutes.
Judge whether the time in configuration information and frequency information meet call format, meet the requirements, carry out next step,
Do not perform otherwise, such as when time the number of minutes is not on 0-59, that is, think that configuration information is unsatisfactory for call format.
In the present embodiment, the job configuration information is parsed, obtains processing time period, and according to default
Time period threshold judges whether processing time period is effective；
If judged result is invalid, next operation is processed；
If judged result is effective, result set table is read, this cycle untreated complete data are judged whether, if depositing
, then terminate this treatment, process next operation.
It is untreated complete if there is no this cycle when job configuration information meets the requirements and processing time period is effective
Data, then be inserted into result set table, process cycle of the record comprising this operation, and treatment state is set to initially by result record
State, locks the operation.And made for cloud operation platform by the way that returning result is deposited into the result set in distributed memory database
With.After result storage, start schedule job and perform, engagement outcome is returned after the completion of operation to scheduler module, scheduler module
After getting corresponding feedback result, corresponding recording status field in result set table is updated, this job scheduling terminates to this,
Next operation for the treatment of.
In the present embodiment, Zookeeper services include primary service and active service, and the active service is used for when branch
After support cluster interior joint exception, take over primary service and be operated, job configuration information and result set table are carried on distribution respectively
Formula memory database.The present embodiment is dynamically taken over after active-standby mode supports cluster interior joint exception；Using distributed memory
Database vendors characteristic carries business configuration data and result data；Each node is deposited by complete or collected works' mode in the cluster for each operation,
Unified publishing tool is provided；Interface is returned to job scheduling system, job scheduling system according to the standard of agreement after the completion of operation
Used for cloud operation platform according to the result set in returning result storage distributed memory database；Cloud operation platform is accused for system
Alert, daily O＆M provides data-interface.
Correspondingly, the present embodiment also provides a kind of job scheduling system based on cloud system, as shown in Fig. 2 including：
Zookeeper servers, for providing registration service, confirm whether schedule job enables, the Zookeeper clothes
Business device is clustered deploy(ment)；
Scheduler module, for obtaining the treatment the job list for treating schedule job by job scheduling allocation list, treats tune
Degree operation is scheduled；Scheduler module is multiple.
Feedback module, for scheduling result to be fed back into scheduler module after the completion of scheduling；
Correction verification module, for being verified to the job configuration information in job scheduling allocation list；
Parsing module, for being parsed to the job configuration information, obtains processing time period, and according to default
Time period threshold judges whether processing time period is effective；
If judged result is invalid, next operation is processed；
If judged result is effective, result set table is read, this cycle untreated complete data are judged whether, if depositing
, then terminate this treatment, process next operation.
Zookeeper servers in the present embodiment include primary server and standby server, the standby server
For after cluster interior joint exception is supported, adapter primary server to be operated, and the Zookeeper servers are provided with use
In the distributed memory database for carrying business configuration data and result set table.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all it is of the invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (10)
1. a kind of job scheduling method based on cloud system, it is characterised in that including：
A. registered by Zookeeper servers, initiating task scheduling, the Zookeeper servers
Zookeeper services are clustered deploy(ment)；
B. after succeeding in registration, token is obtained, and inquire about the corresponding job scheduling allocation list of the token；
C. the treatment the job list for treating schedule job is obtained by job scheduling allocation list；
D. perform and treat schedule job, fed back scheduling result after the completion of scheduling.
2. the job scheduling method based on cloud system according to claim 1, it is characterised in that also include root in step c
Multiple threads are carried out to the treatment the job list for configuring according to concurrent processing field in job scheduling allocation list, and in each thread
Treatment the job list carry out prioritization, each thread loops perform treatment the job list.
3. the job scheduling method based on cloud system according to claim 2, it is characterised in that multiple scheduler modules are set
To schedule job equally loaded, scheduler module is verified to the job configuration information in job scheduling allocation list, judges configuration
Whether each field meets call format in information.
4. the job scheduling method based on cloud system according to claim 3, it is characterised in that confidence is matched somebody with somebody to the operation
Breath is parsed, and obtains processing time period, and judge whether processing time period is effective according to default time period threshold；
If judged result is invalid, next operation is processed；
If judged result is effective, result set table is read, judge whether this cycle untreated complete data, if in the presence of,
Then terminate this treatment, process next operation.
5. the job scheduling method based on cloud system according to claim 4, it is characterised in that when job configuration information symbol
When closing requirement and effective processing time period, if not existing this cycle untreated complete data in job scheduling result set,
Result record is inserted into job scheduling result set table, process cycle of the record comprising this operation, and treatment state is set to just
Beginning state, locks the operation.
6. the job scheduling method based on cloud system according to claim 5, it is characterised in that also including step e, step
E includes：After scheduler module gets feedback result, job scheduling result set table is updated, and by job scheduling result set
Table and job configuration information are stored respectively in distributed memory database.
7. the job scheduling method based on cloud system according to claim 6, it is characterised in that the Zookeeper clothes
Business includes primary service and active service, and the active service is used to after primary service exception in support cluster, take over and lead
It is operated with service.
8. a kind of job scheduling system based on cloud system, it is characterised in that including：
Zookeeper servers, for providing registration service, confirm whether schedule job enables, the Zookeeper servers
Zookeeper service be clustered deploy(ment)；
Scheduler module, for obtaining the treatment the job list for treating schedule job by job scheduling allocation list, treats scheduling and makees
Industry is scheduled, and the scheduler module is multiple；
Feedback module, for scheduling result to be fed back into scheduler module after the completion of scheduling.
9. the job scheduling method based on cloud system according to claim 8, it is characterised in that also include：
Correction verification module, for being verified to the job configuration information in job scheduling allocation list；
Parsing module, for being parsed to the job configuration information, obtains processing time period, and according to the default time
Ct value judges whether processing time period is effective；
If judged result is invalid, next operation is processed；
If judged result is effective, result set table is read, judge whether this cycle untreated complete data, if in the presence of,
Then terminate this treatment, process next operation.
10. the job scheduling method based on cloud system according to claim 8, it is characterised in that the Zookeeper clothes
Business device includes primary server and standby server, and the standby server is used for after cluster interior joint exception is supported, adapter
Primary server is operated, and the Zookeeper servers are provided with for carrying business configuration data and result set table
Distributed memory database.
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| CN107423122A (en) * | 2017-07-25 | 2017-12-01 | 苏州博纳讯动软件有限公司 | A kind of complicated O＆M operation layout and scheduling system and method |
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| CN109375993A (en) * | 2018-08-21 | 2019-02-22 | 中国平安人寿保险股份有限公司 | Detection method, device, computer equipment and the storage medium of dispatch list |
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