CN106201694B - Configuration method and system for executing timing task under distributed system - Google Patents

Configuration method and system for executing timing task under distributed system Download PDF

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Publication number
CN106201694B
CN106201694B CN201610548631.6A CN201610548631A CN106201694B CN 106201694 B CN106201694 B CN 106201694B CN 201610548631 A CN201610548631 A CN 201610548631A CN 106201694 B CN106201694 B CN 106201694B
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task
node
configuration
server
distributed system
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CN106201694A (en
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易有涛
李玉福
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Beijing Nongxin Internet Technology Group Co ltd
Beijing Nongxin Shuzhi Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/465Distributed object oriented systems

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  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

The invention discloses a configuration method for executing timing tasks under a distributed system.A server adopts a distributed architecture, the front end of the server uses act to show a view, the rear end uses spring mvc to provide a rest data interface for the front end, spring security is used to ensure the operation authority of data, the data is prevented from being accessed and modified by an unauthorized user, quartz is used to trigger the configured tasks, a service discovery tool is used to dynamically discover and coordinate each machine to execute the operation, and redis is used as the arbitration of resource competition; and the client registers the node as a task node and processes task logic. The invention also provides a configuration system for executing the timing task under the distributed system.

Description

The configuration method and system of timed task are executed under a kind of distributed system
Technical field
The invention belongs to the technical field of database application, more particularly to executing timed task under a kind of distributed system Configuration method, and configuration system.
Background technique
In a distributed system, what one group of independent computer was presented to user is a unified entirety, all right As seeming a system.System possesses the physics and logical resource of many general, can dynamically distribute task, the object of dispersion Reason and logical resource realize information exchange by computer network.There are one in system manages computer money in a manner of global The distributed operating system in source.In general, for users, only one model of distributed system or pattern.Operating system it On have one layer of software middleware (middleware) be responsible for realize this model.The example of one famous distributed system is ten thousand It ties up net (World Wide Web), in WWW, everything seems that just looking like is a document (Web page) one Sample.
Scheduling of the configuration technology of timed task for the timed task under distributed system is executed under distributed system, is washed in a pan Precious tbschedule, Dangdang.com Elastic-Job, tbschedule have used the Timer of java to complete the scheduling of task, match Setting strategy is not very flexibly.When the mechanism as Elastic-Job is to trigger task by client quartz, by zk Setting mark of correlation executes task to dispatch each node.The common drawback of these technologies is as follows:
1, size of code is huge, complicated, is not easy to customized extension, inconvenient to use;
2, there are some bug not repair, or do not account for;
3, system relies on quartz, so that limiting it must use on java platform.
Summary of the invention
In order to overcome the deficiencies of the prior art, the present invention provides the configuration method that timed task is executed under a kind of distributed system And its configuration system.
The technical solution of the invention is as follows: the configuration method of timed task is executed under the distributed system are as follows: service End uses distributed structure/architecture, and server-side front end makees showing for view using react, and rear end is mentioned using spring mvc for front end For rest data-interface, guarantee the operating right of data using spring security, avoids user of the data by unauthorized Access and modification are carried out Dynamic Discovery using service discovery tool and are coordinated each machine using the task of quartz triggering configuration Operation is executed, uses redis as the arbitration of resource contention;
Node itself is registered as task node by client, handles the Logic of Tasks.
Server-side of the invention uses distributed structure/architecture, and server-side front end makees showing for view using react, and rear end makes Rest data-interface is provided for front end with spring mvc, using the task of quartz triggering configuration, uses service discovery tool Carry out Dynamic Discovery and coordinate each machine to execute operation, uses redis as the arbitration of resource contention;Client is by node itself Task node is registered as, the Logic of Tasks is handled;Therefore Mission Scheduling under distributed system is solved, it can be in multi-lingual language model Lower carry out task schedule, be able to carry out situation check, manual triggering task, dynamic more new task, deletion task, make full use of machine The performance of device, and task node failure problem when single-point being avoided to dispose, realize task node and task central elastic Reduction.
Further, the service discovery tool is zk or consul.
Further, node itself is registered as java or python editions task node by client.
Further, method includes the following steps:
(1) in task center configuration task;
(2) addition of Quartz dynamic or the configuration of individual character task;
(3) Quartz triggers configured task, executes local task;
(4) local task obtains the execution qualification of this subtask by writing redis, writes successfully to be responsible for dispatching and this time appoint Business;
(5) local task reads the surviving node of the task from registration center;
(6) local task is distributed according to the task that task burst information carries out each task node;
(7) local task sends corresponding task requests to task node according to client network configuration;
(8) response has been received by task requests after task node receives request, and executes this task in server-side;
(9) server-side task execution finishes;
(10) after task node is finished, task result is passed back to task center.
Further, in the step (3), the actual task of the local task call client of lightweight.
Further, in the step (7), task requests are customized binary message or http request.
The present invention also provides the configuration systems that timed task is executed under a kind of distributed system comprising:
Server-side is configured to distributed structure/architecture, and server-side front end makees showing for view using react, and rear end uses Spring mvc provides rest data-interface for front end, guarantees the operating right of data using spring security, avoids Data are accessed by the user of unauthorized and modification, being configured using quartz triggering for task use service discovery tool to carry out dynamic It was found that and coordinate each machine and execute operation, use redis as the arbitration of resource contention;
Node itself is registered as task node by client, configuration, handles the Logic of Tasks.
Overcome the deficiencies in the prior art of the present invention can solve Mission Scheduling under distributed system, can be multilingual Task schedule is carried out under mode, be able to carry out situation check, manual triggering task, dynamic more new task, deletion task, sufficiently benefit With the performance of machine, and task node failure problem when single-point being avoided to dispose, realize task node and task center Elastic reduction.
Detailed description of the invention
Fig. 1 is the preferred embodiment that the configuration method of timed task is executed under distributed system according to the present invention Flow chart;
Fig. 2 shows registering in current system according to the present invention for tasks;
Fig. 3 shows addition task according to the present invention;
Fig. 4 shows addition task according to the present invention, http or https mode configures;
Fig. 5 shows addition task according to the present invention, fragment configuration;
Fig. 6 shows task the modification according to the present invention.
Specific embodiment
The configuration method of timed task is executed under this distributed system,
Server-side uses distributed structure/architecture, and server-side front end makees showing for view using react, and rear end uses spring Mvc provides rest data-interface for front end, guarantees the operating right of data using spring security, avoids data quilt The user of unauthorized accesses and modification, using the task of quartz triggering configuration, using service discovery tool come Dynamic Discovery and Coordinate each machine and execute operation, uses redis as the arbitration of resource contention;
Node itself is registered as task node by client, handles the Logic of Tasks.
Server-side of the invention uses distributed structure/architecture, and server-side front end makees showing for view using react, and rear end makes Rest data-interface is provided for front end with spring mvc, using the task of quartz triggering configuration, uses service discovery tool Carry out Dynamic Discovery and coordinate each machine to execute operation, uses redis as the arbitration of resource contention;Client is by node itself Task node is registered as, the Logic of Tasks is handled;Therefore Mission Scheduling under distributed system is solved, it can be in multi-lingual language model Lower carry out task schedule, be able to carry out situation check, manual triggering task, dynamic more new task, deletion task, make full use of machine The performance of device, and task node failure problem when single-point being avoided to dispose, realize task node and task central elastic Reduction.
The example executed on line at present has customer center, and market are precious, fishing networking.
Fig. 2 shows registering in current system according to the present invention for tasks;Fig. 3 shows addition according to the present invention and appoints Business;Fig. 4 shows addition task according to the present invention, http or https mode configures;Fig. 5 shows according to the present invention add Add task, fragment configuration;Fig. 6 shows task the modification according to the present invention.
Client configuration include the following:
1. configuring service register center
<bean id=" serviceRegister " class=" com.nxin.framework.core.ZkService Register " init-method=" startUp " destroy-method=" shutDown " p:namespace=" job- Center " p:servers=" $ { zk.address } "/>
2. configuring message coding mode
3. configuration task, customer center task configuration example is as follows
Further, the service discovery tool is zk or consul.
Further, node itself is registered as java or python editions task node by client.Other languages are added Speech is also easy to, and substantially has the language of zk client that can conveniently write out.
As shown in Figure 1, executing the configuration method of timed task under this distributed system, comprising the following steps:
(1) in task center configuration task;
(2) addition of Quartz dynamic or the configuration of individual character task;
(3) Quartz triggers configured task, executes local task;
(4) local task obtains the execution qualification of this subtask by writing redis, writes successfully to be responsible for dispatching and this time appoint Business;
(5) local task reads the surviving node of the task from registration center;
(6) local task is distributed according to the task that task burst information carries out each task node;
(7) local task sends corresponding task requests to task node according to client network configuration;
(8) response has been received by task requests after task node receives request, and executes this task in server-side;
(9) server-side task execution finishes;
(10) after task node is finished, task result is passed back to task center.
Further, in the step (3), the actual task of the local task call client of lightweight.
Further, in the step (7), task requests are customized binary message or http request.
The present invention also provides the configuration systems that timed task is executed under a kind of distributed system comprising:
Server-side is configured to distributed structure/architecture, and server-side front end makees showing for view using react, and rear end uses Spring mvc provides rest data-interface for front end, guarantees the operating right of data using spring security, avoids Data are accessed by the user of unauthorized and modification, being configured using quartz triggering for task use service discovery tool to carry out dynamic It was found that and coordinate each machine and execute operation, use redis as the arbitration of resource contention;
Node itself is registered as task node by client, configuration, handles the Logic of Tasks.
Technical effect of the invention is as follows:
1. solving Mission Scheduling under distributed system, for example write from a data source-synchronous data if it is single machine One timed task, allowing him to run always, there is no problem, if configuration is constant in the case of multimachine, two nodes are performed simultaneously this Business will lead to data redundancy or error (major key conflict etc.), and the task configuration an of node is generally retained in multimachine, Its node comments out the configuration of task, increases the difficulty of O&M deployment in this way.
2. the task schedule under multi-lingual language model, since other platforms do not have relevant library or related realization relatively to fall Afterwards, and they also have the demand of timed task, such as python .net, php platform etc., and there are two kinds of tasks at task center at present The mode of scheduling, one is the socket communication on java, the self-defined message agreement based on netty is a kind of based on http's Notice.
3. task execution situation is checked, task is triggered by hand, dynamic more new task deletes task dispatching, for certain purposes, Task configuration, such as holding task are modified sometimes need to trigger task or non-interrupting service at once in the case where Row interval once adjusted from 1 hour to 20 minutes primary etc..
4. make full use of hardware resource, avoid Single Point of Faliure, task can by being performed simultaneously after slice in more machines, To making full use of the performance of machine, and task node failure problem when single-point being avoided to dispose.
5. task node and task central elastic reduction.
The above is only presently preferred embodiments of the present invention, is not intended to limit the present invention in any form, it is all according to According to technical spirit any simple modification, equivalent change and modification to the above embodiments of the invention, still belong to the present invention The protection scope of technical solution.

Claims (5)

1. executing the configuration method of timed task under a kind of distributed system, it is characterised in that:
Server-side uses distributed structure/architecture, and server-side front end makees showing for view using react, and rear end uses spring mvc Rest data-interface is provided for front end, guarantees the operating right of data using spring security, data is avoided not awarded The user of power accesses and modification, using the task of quartz triggering configuration, comes Dynamic Discovery and coordination using service discovery tool Each machine executes operation, uses redis as the arbitration of resource contention;
Node itself is registered as task node by client, handles the Logic of Tasks;
The configuration method the following steps are included:
(1) in task center configuration task;
(2) addition of Quartz dynamic or the configuration of individual character task;
(3) Quartz triggers configured task, executes local task;
(4) local task obtains the execution qualification of this subtask by writing redis, writes and is successfully responsible for dispatching this subtask;
(5) local task reads the surviving node of the task from registration center;
(6) local task is distributed according to the task that task burst information carries out each task node;
(7) local task sends corresponding task requests to task node according to client network configuration, and task requests are to make by oneself Adopted binary message or http request;
(8) response has been received by task requests after task node receives request, and executes this task in server-side;
(9) server-side task execution finishes;
(10) after task node is finished, task result is passed back to task center.
2. executing the configuration method of timed task under distributed system according to claim 1, it is characterised in that: the clothes Business discovering tool is zk or consul.
3. executing the configuration method of timed task under distributed system according to claim 2, it is characterised in that: client Node itself is registered as to java or python editions task node.
4. executing the configuration method of timed task under distributed system according to claim 1, it is characterised in that: the step Suddenly in (3), the actual task of the local task call client of lightweight.
5. a kind of realize the configuration system that timed task configuration method is executed under distributed system as described in claim 1, It is characterized in that: comprising:
Server-side is configured to distributed structure/architecture, and server-side front end makees showing for view using react, and rear end uses Spring mvc provides rest data-interface for front end, guarantees the operating right of data using spring security, avoids Data are accessed by the user of unauthorized and modification, being configured using quartz triggering for task use service discovery tool to carry out dynamic It was found that and coordinate each machine and execute operation, use redis as the arbitration of resource contention;And client, configuration will Node itself is registered as task node, handles the Logic of Tasks.
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CN108182111B (en) * 2018-01-23 2022-07-15 百度在线网络技术(北京)有限公司 Task scheduling system, method and device
CN108681777B (en) * 2018-05-07 2021-07-20 北京京东尚科信息技术有限公司 Method and device for running machine learning program based on distributed system
CN108762949B (en) * 2018-05-21 2021-07-09 招银云创信息技术有限公司 Centralized scheduling method, system, computer equipment and storage medium
CN108829504A (en) * 2018-06-28 2018-11-16 泰康保险集团股份有限公司 A kind of method for scheduling task, device, medium and electronic equipment
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