CN108960641B - E-commerce platform operation scheduling method and system - Google Patents
E-commerce platform operation scheduling method and system Download PDFInfo
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- CN108960641B CN108960641B CN201810749182.0A CN201810749182A CN108960641B CN 108960641 B CN108960641 B CN 108960641B CN 201810749182 A CN201810749182 A CN 201810749182A CN 108960641 B CN108960641 B CN 108960641B
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- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention relates to the technical field of communication, in particular to an e-commerce platform operation scheduling method and system. The E-commerce platform operation scheduling method comprises the following steps: providing an operation to be executed; acquiring a resource space evaluation value required by executing the operation to be executed; setting a plurality of resource groups, wherein the plurality of resource groups correspond to a plurality of operation types one by one, and each resource group is used for executing the operation of the corresponding operation type; selecting a resource group matched with the operation to be executed as a target resource group; and judging whether the residual resource space of the target resource group is larger than the resource space assessment value, if so, allocating the to-be-executed operation to the target resource group, and performing resource scheduling to start executing the to-be-executed operation. The invention improves the efficiency of operation execution, and ensures the continuous and stable operation of the e-commerce platform while improving the resource utilization rate of the e-commerce platform.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an e-commerce platform operation scheduling method and system.
Background
With the rapid development of the e-commerce industry, the types and the amount of data generated by e-commerce platforms are rapidly increasing, and in order to ensure the stable operation of the e-commerce platforms, different computing platforms are often required to be arranged to support corresponding business data computation amounts, and corresponding technicians are configured to perform extraction-Transform-Load (ETL) on data manually. However, since the types of operations are various, the amount of operations increases exponentially, and the dependency relationship between the operations is complicated, the health status of the operation cannot be monitored in real time, and the operation status of the operations cannot be adjusted in real time.
Moreover, the operation execution chain is long, and for the positioning of abnormal data appearing in the operation, a manual mode needs to be adopted to check the related operation data one by one, which causes extremely high labor cost and time cost for positioning the abnormal data and extremely low abnormal condition processing efficiency.
The existing configuration of the dependency relationship among the jobs is to perform periodic scheduling according to a Crontab instruction. The dependency between the jobs is manually set according to an empirical value, and the actual dependency is realized by setting a buffer time. The dependency configuration relationship causes a low utilization rate of computing resources, increases the execution time of the whole operation, causes extremely low failure of daily data, and cannot meet the use requirements of managed reports and data systems.
Meanwhile, the controllability of the execution health state of each type of operation is low, the threshold setting of the operation concurrency amount is completely dependent on experience, and the condition that the corresponding data computing platform is stopped due to large operation concurrency amount is easy to occur. At this time, it is necessary to manually terminate the corresponding job, reset the scheduling time point and the concurrency amount, and adjust the scheduling time of all subsequent jobs at the same time, resulting in overall reduction of job execution efficiency.
Therefore, how to improve the execution efficiency of the operation, improve the utilization rate of the resources, and ensure the continuous and stable operation of the e-commerce platform is a technical problem to be solved urgently at present.
Disclosure of Invention
The invention provides an e-commerce platform operation scheduling method and system, which are used for solving the problem of low execution efficiency of the existing operation, improving the resource utilization rate of the e-commerce platform and ensuring the continuous and stable operation of the e-commerce platform.
In order to solve the above problems, the invention provides an e-commerce platform operation scheduling method, which comprises the following steps:
providing an operation to be executed;
acquiring a resource space evaluation value required by executing the operation to be executed;
setting a plurality of resource groups, wherein the plurality of resource groups correspond to a plurality of operation types one by one, and each resource group is used for executing the operation of the corresponding operation type;
selecting a resource group matched with the operation to be executed as a target resource group;
and judging whether the residual resource space of the target resource group is larger than the resource space assessment value, if so, allocating the to-be-executed operation to the target resource group, and performing resource scheduling to start executing the to-be-executed operation.
Preferably, the method further comprises the following steps:
and judging whether the residual resource space of the target resource group is larger than the resource space evaluation value, if not, adding the to-be-executed operation into an operation waiting queue of the target resource group according to a preset priority order.
Preferably, before selecting the resource group matched with the job to be executed as the target resource group, the method further includes the following steps:
and judging whether the operation to be executed meets the triggering condition, if so, selecting a resource group matched with the operation to be executed as a target resource group.
Preferably, the trigger condition is one of successful execution of all upstream jobs, successful execution of a preset number of upstream jobs, and failed execution of all upstream jobs of the jobs to be executed; the upstream operation is an operation having a sequential dependency relationship with the operation to be executed.
Preferably, the method further comprises the following steps:
judging whether the operation to be executed fails to be executed, if so, counting the number of times of the operation to be executed fails to be executed;
and judging whether the residual retry times of the operation to be executed is 0, if not, executing the operation to be executed again.
In order to solve the above problem, the present invention further provides an e-commerce platform job scheduling system, including:
the acquisition module is used for acquiring a resource space evaluation value required by executing the operation to be executed;
the device comprises a setting module, a setting module and a processing module, wherein the setting module is used for setting a plurality of resource groups, the resource groups correspond to a plurality of operation types one by one, and each resource group is used for executing the operation of the corresponding operation type;
the selection module is connected with the acquisition module and the setting module and is used for selecting the resource group matched with the operation to be executed as a target resource group;
and the control module is connected with the selection module and used for judging whether the residual resource space of the target resource group is larger than the resource space evaluation value or not, if so, the to-be-executed operation is distributed to the target resource group, and resource scheduling is carried out so as to start to execute the to-be-executed operation.
Preferably, the control module is further configured to determine whether a remaining resource space of the target resource group is greater than the resource space assessment value, and if not, add the to-be-executed job to a job waiting queue of the target resource group according to a preset priority order.
Preferably, the selection module comprises a judgment unit and a selection unit; the judging unit is connected with the selecting unit and used for judging whether the operation to be executed meets the triggering condition; and the selection unit is used for selecting the resource group matched with the to-be-executed operation as a target resource group when the judgment result of the judgment unit is that the to-be-executed operation meets the trigger condition.
Preferably, the trigger condition is one of successful execution of all upstream jobs, successful execution of a preset number of upstream jobs, and failed execution of all upstream jobs of the jobs to be executed; the upstream operation is an operation having a sequential dependency relationship with the operation to be executed.
Preferably, the system further comprises a retry module; the control module is also used for judging whether the operation to be executed fails to be executed, and if so, counting the number of times of the operation to be executed fails to be executed; and the retry module is connected with the control module and used for judging whether the residual retry times of the operation to be executed is 0 or not, and if not, sending an instruction for executing the operation to be executed again to the control module.
According to the E-commerce platform operation scheduling method and system, the plurality of resource groups are set, and the corresponding resource groups are selected to be executed according to the type of the operation to be executed, so that the operation execution efficiency is improved; and before the target resource group starts to execute the to-be-executed operation, the residual resource space of the target resource group is compared with the resource space evaluation value required by the to-be-executed operation, so that the resource utilization rate of the e-commerce platform is improved, meanwhile, the operation execution error is avoided, and the continuous and stable operation of the e-commerce platform is ensured.
Drawings
FIG. 1 is a flow chart of a method for scheduling an e-commerce platform job in an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an e-commerce platform job scheduling system in an embodiment of the present invention.
Detailed Description
The following describes in detail a specific embodiment of the e-commerce platform job scheduling method and system provided by the present invention with reference to the accompanying drawings.
The specific embodiment provides an e-commerce platform operation scheduling method, and fig. 1 is a flowchart of the e-commerce platform operation scheduling method in the specific embodiment of the invention. As shown in fig. 1, the method for scheduling an e-commerce platform job provided by this embodiment includes the following steps:
in step S11, a job to be executed is provided.
Step S12, acquiring a resource space evaluation value required for executing the job to be executed. The specific method for obtaining the resource space evaluation value required for executing the job to be executed may be to store and statistically analyze historical data of a plurality of jobs with the same attribute executed within a preset time period, calculate an average value of resource spaces required for executing the jobs with the same attribute and upper and lower limit values of the required resource space according to the historical data, and set the resource space evaluation value required for executing the job according to the average value, the upper and lower limit values. The historical data comprises a log of the same-attribute operation, and the data volume transmitted in the execution process of the same-attribute operation is recorded in the log. In order to improve the accuracy of the acquired resource space assessment value, a plurality of the jobs with the same attribute have the same attribute as the type of the job to be executed, the job trigger condition and the like. The specific value of the preset time period may be set by a person skilled in the art according to actual needs, for example, 30 days, and this specific embodiment does not limit this.
Step S13, setting a plurality of resource groups, where the plurality of resource groups correspond to a plurality of job types one to one, and each resource group is used to execute a job of a corresponding job type. Through setting up a plurality of resource groups, realize the mutual isolation of different grade type jobs to effective control operation concurrency volume ensures the stable of various types of operation execution and goes on. The plurality of job types include a plurality of Vertica, MR, Hive, Spark, MapReduce, Other. In the present embodiment, since the classification of the job is performed by the resource group, a plurality of resource groups can be provided in the same server. Compared with the mode of arranging a plurality of servers in the prior art, the specific implementation mode only adopts one server, so that the operation cost of an e-commerce is greatly reduced. The server may be a local server or a network server.
And step S14, selecting the resource group matched with the to-be-executed operation as a target resource group.
Step S15, determining whether the remaining resource space of the target resource group is greater than the resource space assessment value, if yes, allocating the to-be-executed job to the target resource group, and performing resource scheduling to start executing the to-be-executed job. In this embodiment, before the operation to be executed is executed, the remaining resource space of the target resource group is evaluated in advance, and when the remaining resource space is greater than the resource space evaluation value of the operation to be executed, the operation to be executed is executed, so that the operation concurrency of the target resource group is effectively controlled, the stability of execution of the operation in the target resource group is ensured, the problem of low operation execution efficiency of the e-commerce platform in the prior art is solved, and the resource utilization rate of the e-commerce platform is improved.
Preferably, the e-commerce platform job scheduling method further includes the following steps:
and judging whether the residual resource space of the target resource group is larger than the resource space evaluation value, if not, adding the to-be-executed operation into an operation waiting queue of the target resource group according to a preset priority order.
Specifically, the jobs in the waiting queue are executed in sequence according to a preset priority order, and the remaining resource space of the target resource group is periodically detected, so that a plurality of jobs of the same type can be executed in sequence according to the sequence, and the running stability of the e-commerce platform is further improved.
Preferably, before selecting the resource group matched with the job to be executed as the target resource group, the method further includes the following steps:
and judging whether the operation to be executed meets the triggering condition, if so, selecting a resource group matched with the operation to be executed as a target resource group.
More preferably, the trigger condition is one of successful execution of all upstream jobs, successful execution of a preset number of upstream jobs, and failed execution of all upstream jobs of the jobs to be executed; the upstream operation is an operation having a sequential dependency relationship with the operation to be executed.
Specifically, one or more root jobs with corresponding scheduling frequencies can be set according to job requirements, and then, on the basis of the root jobs, subsequent jobs with mutual dependency relationships are configured in a bottom-up visualization manner to form a job tree, and a resource group corresponding to each job in the job tree is specified. Before selecting the resource group matched with the operation to be executed as the target resource group, judging whether the operation to be executed meets the triggering condition according to the upstream operation execution condition of the operation to be executed, and laying a foundation for ensuring the stable execution of the operation to be executed. The execution condition of the upstream job can be judged according to the state value of a state broadcaster. The execution condition of the upstream job comprises execution success and execution failure.
Preferably, the method for scheduling the e-commerce platform job provided by the present embodiment further includes the following steps:
(a) judging whether the operation to be executed fails to be executed, if so, counting the number of times of the operation to be executed fails to be executed;
(b) and judging whether the residual retry times of the operation to be executed is 0, if not, executing the operation to be executed again.
Specifically, if the to-be-executed job is successfully executed, the status broadcaster broadcasts the to-be-executed job to provide a basis for determining an execution trigger condition of a next to-be-executed job having a sequential dependency relationship with the to-be-executed job. The user can preset the threshold value of the retry execution times of the operation to be executed according to the requirement, after one-time execution fails, whether the residual retry execution times is 0 is judged, and if not, the operation to be executed is executed again. This is because, as a result of analyzing a large number of job execution failures, a large probability of job execution failures is caused by network link instability, and the present embodiment can automatically and effectively repair the job execution failures to some extent by setting a retry mechanism. Those skilled in the art can set the retry time interval as needed to further improve the stability of the e-commerce platform operation.
Each resource group in this embodiment may be a corresponding data computing platform. The e-commerce operation scheduling method provided by the specific embodiment can be compatible with mainstream data computing platforms in the market, such as a relational database, an MPP database, a Hadoop database, a NoSQL database and the like. The specific implementation mode can also develop and access the resource scheduling interface of different computing platforms, is convenient for acquiring the resource condition information of the corresponding computing platform, is convenient for realizing the plug-in quick butt joint of the newly added computing platform by abstracting out the corresponding interface, and has the characteristic of horizontal extension, thereby ensuring stronger applicability and fully meeting the diversified market, enterprise and user requirements.
Moreover, the present embodiment further provides an e-commerce platform job scheduling system, and fig. 2 is a schematic structural diagram of the e-commerce platform job scheduling system in the present embodiment. As shown in fig. 2, the e-commerce platform job scheduling system provided by the present embodiment includes: an acquisition module 21, a setting module 22, a selection module 23 and a control module 24.
The acquiring module 21 is configured to acquire a resource space assessment value required for executing a job to be executed; the setting module 22 is configured to set a plurality of resource groups, where the plurality of resource groups correspond to a plurality of job types one to one, and each resource group is configured to execute a job of a corresponding job type; the selecting module 23 is connected to the obtaining module 21 and the setting module 22, and configured to select a resource group matched with the job to be executed as a target resource group; the control module 24 is connected to the selection module 23, and configured to determine whether a remaining resource space of the target resource group is greater than the resource space assessment value, if yes, allocate the to-be-executed job to the target resource group, and perform resource scheduling to start executing the to-be-executed job.
Preferably, the control module 24 is further configured to determine whether the remaining resource space of the target resource group is greater than the resource space assessment value, and if not, add the to-be-executed job to the job waiting queue of the target resource group according to a preset priority order.
Preferably, the selecting module 23 includes a judging unit 231 and a selecting unit 232; the judging unit 231 is connected to the selecting unit 232, and is configured to judge whether the job to be executed meets a trigger condition; the selecting unit 232 is configured to select a resource group matched with the to-be-executed job as a target resource group when the determination result of the determining unit is that the to-be-executed job meets the trigger condition.
Preferably, the trigger condition is one of successful execution of all upstream jobs, successful execution of a preset number of upstream jobs, and failed execution of all upstream jobs of the jobs to be executed; the upstream operation is an operation having a sequential dependency relationship with the operation to be executed.
Preferably, a retry module 25 is also included; the control module 24 is further configured to determine whether the execution of the job to be executed fails, and if so, count the number of times of execution failures of the job to be executed; the retry module 25 is connected to the control module 24, and configured to determine whether the remaining retry number of the to-be-executed job is 0, and if not, send an instruction to the control module to execute the to-be-executed job again.
According to the method and the system for scheduling the e-commerce platform operation, a plurality of resource groups are set, and the corresponding resource groups are selected to be executed according to the type of the operation to be executed, so that the efficiency of executing the operation is improved; and before the target resource group starts to execute the to-be-executed operation, the residual resource space of the target resource group is compared with the resource space evaluation value required by the to-be-executed operation, so that the resource utilization rate of the e-commerce platform is improved, meanwhile, the operation execution error is avoided, and the continuous and stable operation of the e-commerce platform is ensured.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A method for scheduling the operation of an e-commerce platform is characterized by comprising the following steps:
providing an operation to be executed;
acquiring a resource space evaluation value required by executing the operation to be executed;
setting a plurality of resource groups, wherein the plurality of resource groups correspond to a plurality of job types one by one, each resource group is used for executing the job of the corresponding job type, and the plurality of job types comprise a plurality of Vertica, Hive, Spark and MapReduce;
selecting a resource group matched with the operation to be executed as a target resource group;
and judging whether the residual resource space of the target resource group is larger than the resource space estimated value or not, if so, allocating the to-be-executed operation to the target resource group, scheduling resources to start executing the to-be-executed operation, and if not, adding the to-be-executed operation into an operation waiting queue of the target resource group according to a preset priority order.
2. The e-commerce platform job scheduling method according to claim 1, wherein before selecting the resource group matched with the job to be executed as the target resource group, the method further comprises the following steps:
and judging whether the operation to be executed meets the triggering condition, if so, selecting a resource group matched with the operation to be executed as a target resource group.
3. The e-commerce platform job scheduling method according to claim 2, wherein the trigger condition is one of successful execution of all upstream jobs of the jobs to be executed, successful execution of a preset number of upstream jobs, and failed execution of all upstream jobs; the upstream operation is an operation having a sequential dependency relationship with the operation to be executed.
4. The e-commerce platform job scheduling method of claim 1, further comprising the steps of:
judging whether the operation to be executed fails to be executed, if so, counting the number of times of the operation to be executed fails to be executed;
and judging whether the residual retry times of the operation to be executed is 0, if not, executing the operation to be executed again.
5. An e-commerce platform job scheduling system, comprising:
the acquisition module is used for acquiring a resource space evaluation value required by executing the operation to be executed;
the system comprises a setting module, a setting module and a processing module, wherein the setting module is used for setting a plurality of resource groups, the plurality of resource groups correspond to a plurality of job types one by one, each resource group is used for executing the job of the corresponding job type, and the plurality of job types comprise a plurality of Vertica, Hive, Spark and MapReduce;
the selection module is connected with the acquisition module and the setting module and is used for selecting the resource group matched with the operation to be executed as a target resource group;
the control module is connected with the selection module and used for judging whether the residual resource space of the target resource group is larger than the resource space assessment value or not, if yes, the to-be-executed operation is distributed to the target resource group, and resource scheduling is carried out so as to start to execute the to-be-executed operation; and the control module is also used for judging whether the residual resource space of the target resource group is larger than the resource space assessment value, and if not, adding the to-be-executed operation into the operation waiting queue of the target resource group according to a preset priority order.
6. The e-commerce platform job scheduling system of claim 5, wherein the selection module comprises a determination unit and a selection unit; the judging unit is connected with the selecting unit and used for judging whether the operation to be executed meets the triggering condition; and the selection unit is used for selecting the resource group matched with the to-be-executed operation as a target resource group when the judgment result of the judgment unit is that the to-be-executed operation meets the trigger condition.
7. The e-commerce platform job scheduling system of claim 6, wherein the trigger condition is one of a success in all upstream jobs, a success in a preset number of upstream jobs, and a failure in all upstream jobs of the jobs to be executed; the upstream operation is an operation having a sequential dependency relationship with the operation to be executed.
8. The e-commerce platform job scheduling system of claim 5, further comprising a retry module; the control module is also used for judging whether the operation to be executed fails to be executed, and if so, counting the number of times of the operation to be executed fails to be executed; and the retry module is connected with the control module and used for judging whether the residual retry times of the operation to be executed is 0 or not, and if not, sending an instruction for executing the operation to be executed again to the control module.
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| CN110750350B (en) * | 2019-10-29 | 2022-08-16 | 广东浪潮大数据研究有限公司 | Large resource scheduling method, system, device and readable storage medium |
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| CN104915407A (en) * | 2015-06-03 | 2015-09-16 | 华中科技大学 | Resource scheduling method under Hadoop-based multi-job environment |
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| CN102567086A (en) * | 2010-12-30 | 2012-07-11 | 中国移动通信集团公司 | Task scheduling method, equipment and system |
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