CN113254728B - Task information display method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of artificial intelligence, and provides a task information display method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: creating a multi-way tree based on the task to be executed, sequentially executing the stage task of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node, and extracting metadata information and business logic information of the task to be executed; and analyzing the metadata information of the task to be executed, and displaying the metadata information and the service logic information of the task to be executed when the normal operation of the task to be executed is determined according to the analysis result and the service logic grammar needing to be optimized does not exist in the service logic information of the task to be executed. According to the invention, the complete execution plan is obtained by displaying the metadata information and the business logic information of the task to be executed, so that the task display effect of the task to be executed is improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a task information display method, a task information display device, electronic equipment and a storage medium.
Background
The declarative language used by Hive typically faces many difficulties in exposing the task script during execution of the task by HiveQL, assisting in the development of task localization for analysis.
However, in the prior art, all information in the task script is displayed, and development cannot quickly position the task, so that the display effect of the task information is low.
Therefore, there is a need to provide a method that can efficiently present task information.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, an apparatus, an electronic device, and a storage medium for displaying task information, by displaying metadata information and service logic information of a task to be executed, a complete execution plan is obtained, and a task display effect of the task to be executed is improved.
The first aspect of the invention provides a task information display method, which comprises the following steps:
receiving a task to be executed, and creating a multi-way tree based on the task to be executed, wherein each node of the multi-way tree comprises a task stage;
sequentially executing the stage tasks of each node from the root node of the multi-way tree, scanning the operation script of the stage tasks of each node, and extracting the metadata information and the business logic information of the tasks to be executed;
Analyzing metadata information of the task to be executed, and determining whether the task to be executed normally runs or not according to an analysis result;
when the task to be executed normally operates, monitoring whether service logic grammar needing to be optimized exists in service logic information of the task to be executed;
and when the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed, displaying the metadata information and the business logic information of the task to be executed according to a preset display mode.
Optionally, the method further comprises:
when the abnormal operation of the task to be executed is determined, or when the business logic grammar needing to be optimized exists in the business logic information of the task to be executed, the task category of the task to be executed is identified;
acquiring a plurality of historical execution tasks according to the task category of the task to be executed;
calculating the structural similarity and the data similarity between the task to be executed and each historical execution task;
calculating the product of the structural similarity and a preset first weight value to obtain a first similarity;
calculating the product of the data similarity and a preset second weight value to obtain a second similarity;
Calculating the sum of the first similarity and the second similarity to obtain the final similarity between the task to be executed and each historical execution task;
and based on the calculated final similarity between the task to be executed and each historical execution task, carrying out task clustering by adopting a preset clustering algorithm, and determining an optimization suggestion of the task to be executed.
Optionally, the calculating the structural similarity and the data similarity between the task to be executed and each of the historical execution tasks includes:
calculating the similarity between the business logic information of the task to be executed and the business logic information of each history execution task to obtain the structural similarity between the task to be executed and each history execution task;
and calculating the similarity between the metadata information of the task to be executed and the metadata information of each historical execution task to obtain the data similarity between the task to be executed and each historical execution task.
Optionally, based on the final similarity between the task to be executed and each historical execution task, performing task clustering by using a preset clustering algorithm, and determining the optimization suggestion of the task to be executed includes:
Searching in a preset parameter space based on the calculated final similarity between the task to be executed and each historical execution task, finding out a parameter solution with the minimum running time, and determining an optimization suggestion of the task to be executed according to the parameter solution with the minimum running time.
Optionally, the displaying the metadata information and the service logic information of the task to be executed according to a preset display mode includes:
and displaying the metadata information of the task to be executed according to a preset first display mode, and displaying the business logic information of the task to be executed according to a preset second display mode.
Optionally, the monitoring whether the service logic grammar needing to be optimized exists in the service logic information of the task to be executed includes:
monitoring each business logic grammar in the business logic information of the task to be executed;
calculating a difference value between a first execution result of each business logic grammar and a second execution result of the corresponding business logic grammar in the preset task execution result library;
when the difference value is larger than or equal to a preset difference value threshold value, determining that service logic grammar needing to be optimized exists in the service logic information of the task to be executed; or alternatively
And when the difference value is smaller than the preset difference value threshold value, determining that the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed.
Optionally, the parsing the metadata information of the task to be executed, and determining whether the task to be executed runs normally according to the parsing result includes:
determining first result data of each piece of sub-information in the metadata information from a preset task execution result library;
matching the first result data of each piece of sub-information with the second result data of the corresponding piece of sub-information in the metadata information;
when the first result data of each piece of sub-information is matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs normally; or alternatively
And when the first result data of any one piece of sub-information is not matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs abnormally.
A second aspect of the present invention provides a task information display device, the device comprising:
the creating module is used for receiving a task to be executed and creating a multi-way tree based on the task to be executed, wherein each node of the multi-way tree comprises a task stage;
The execution module is used for sequentially executing the stage tasks of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node and extracting the metadata information and the service logic information of the task to be executed;
the analysis module is used for analyzing the metadata information of the task to be executed and determining whether the task to be executed normally runs or not according to an analysis result;
the monitoring module is used for monitoring whether the service logic grammar needing to be optimized exists in the service logic information of the task to be executed or not when the task to be executed normally runs;
and the display module is used for displaying the metadata information and the business logic information of the task to be executed according to a preset display mode when the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed.
A third aspect of the present invention provides an electronic device, the electronic device comprising a processor and a memory, the processor being configured to implement the task information presentation method when executing a computer program stored in the memory.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the task information presentation method.
In summary, according to the task information display method, device, electronic equipment and storage medium of the present invention, on one hand, by displaying metadata information of the task to be executed, displaying the metadata information on a preview interface, stage task positioning can be intuitively performed, stage task positioning efficiency of the task to be executed is improved, meanwhile, according to dependency relationships among a plurality of stage tasks of the task to be executed, by displaying a complete execution plan of the task to be executed, task display effect of the task to be executed is improved, execution processes of the plurality of stage tasks can be quickly known, codes of the stage tasks can be optimized by analyzing the execution processes, stage task execution duration is reduced, and efficiency of the task to be executed is improved; on the other hand, analyzing the metadata information of the task to be executed, determining whether the task to be executed normally runs or not according to the analysis result, checking the detailed condition of the task to be executed by clicking the metadata information, so that relevant optimization is carried out, corresponding problems are solved, and the abnormal running solving efficiency is improved; and finally, executing the multi-way tree of the task to be executed, sequentially executing the stage task of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node, extracting the metadata information and the service logic information of the task to be executed, sequentially scanning the operation script of the stage task of each node, extracting the metadata information and the service logic information of the task to be executed, avoiding the incompleteness phenomenon of the extracted metadata information and the service logic information caused by the operation script of the stage task without scanning, improving the integrality of the extracted metadata information and the service logic information, reducing the interference of other information, and improving the subsequent analysis efficiency by extracting the metadata information and the service logic information of the task to be executed.
Drawings
Fig. 1 is a flowchart of a task information display method according to an embodiment of the present invention.
Fig. 2 is a block diagram of a task information display device according to a second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It should be noted that, without conflict, the embodiments of the present invention and features in the embodiments may be combined with each other.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Example 1
Fig. 1 is a flowchart of a task information display method according to an embodiment of the present invention.
In this embodiment, the task information display method may be applied to an electronic device, and for an electronic device that needs task information display, the task information display function provided by the method of the present invention may be directly integrated on the electronic device, or may be run in the electronic device in the form of a software development kit (Software Development Kit, SDK).
As shown in fig. 1, the task information display method specifically includes the following steps, and the order of the steps in the flowchart may be changed according to different requirements, and some may be omitted.
S11, receiving a task to be executed, and creating a multi-way tree based on the task to be executed, wherein each node of the multi-way tree comprises a task stage.
In this embodiment, the task to be executed may be a Hive task, and when task information is displayed, the task to be executed is sent to a server through a client, specifically, the client may be a smart phone, an IPAD or other existing smart devices, the server may be an information display subsystem, and in the information display process, if the client may send the task to be executed to the information display subsystem, the information display subsystem is configured to receive the task to be executed sent by the client, and specifically, the task to be executed includes a plurality of stage tasks.
In this embodiment, dependency relationships exist between different stage tasks of the task to be executed, and a multi-way tree corresponding to the task to be executed may be created according to the dependency relationships between the different stage tasks, where the more complex the task to be executed is, the more stage tasks are included, and the more complex the multi-way tree is obtained.
In an alternative embodiment, said creating a multi-way tree based on said tasks to be performed comprises:
determining a target execution plan corresponding to the task to be executed from a preset task execution plan database;
converting the task to be executed into a plurality of task stages according to the target execution plan;
randomly selecting a task stage as a root node of the task to be executed;
calculating the length difference between any remaining task phase and the task phase at the root node;
judging whether a task stage which is the same as the length difference exists or not;
when judging that the task phases with the same length difference exist, taking the task phases with the same length difference as a parent node, and taking the rest task phases as child nodes of the parent node;
and when judging that the task stage which is the same as the length difference does not exist, taking the root node as a father node, and taking the rest task stages as child nodes of the father node, wherein the length difference between the task stage at the father node and the task stage at the corresponding child node is taken as the weight of the edge between the father node and the child node.
In this embodiment, the multi-way tree is created according to the dependency relationship between each task stage in the tasks to be executed, and the execution plan of the tasks to be executed can be intuitively determined through the multi-way tree, so that the display efficiency of the execution plan of the tasks to be executed is improved.
S12, starting from the root node of the multi-way tree, executing the stage tasks of each node in sequence, scanning the operation script of the stage tasks of each node, and extracting the metadata information and service logic information of the tasks to be executed.
Specifically, the metadata information includes any one or more of the following combinations: the system comprises a task name, a task queue name, task submission time, task running time, total stage task number, running time of each stage task, map number, reduce number and Tracking URL.
Specifically, the business logic information is used to characterize the execution plan of each stage task of the task to be executed, for example: the tasks to be performed include 3-stage tasks: the execution plan among the 3 sub-stage tasks is as follows: and the A-stage task, the C-stage task and the B-stage task are executed, namely the A-stage task is executed, the C-stage task is executed, and the B-stage task is executed finally.
In this embodiment, the metadata information and the service logic information of the task to be executed are extracted by sequentially scanning the operation script of the stage task of each node, so that the phenomenon of incompleteness of the extracted metadata information and service logic information caused by missing the operation script of the stage task is avoided, the integrity of the extracted metadata information and service logic information is improved, and the interference of other information is reduced and the subsequent analysis efficiency is improved by extracting the metadata information and service logic information of the task to be executed.
S13, analyzing the metadata information of the task to be executed, and determining whether the task to be executed normally runs or not according to the analysis result.
In this embodiment, the metadata information includes a plurality of sub-information, each sub-information corresponds to one result data, and whether the task to be executed runs normally can be determined according to the result data of the metadata information, for example, for the analysis result of the metadata information with longer duration, the metadata information Tracking URL can be clicked to jump to the history task detail log interface to check the details of the task to be executed, so that relevant optimization is performed, corresponding problems are solved, and the solution efficiency of abnormal running is improved.
In an optional embodiment, the parsing the metadata information of the task to be performed, and determining whether the task to be performed is operating normally according to the parsing result includes:
determining first result data of each piece of sub-information in the metadata information from a preset task execution result library;
matching the first result data of each piece of sub-information with the second result data of the corresponding piece of sub-information in the metadata information;
when the first result data of each piece of sub-information is matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs normally; or alternatively
And when the first result data of any one piece of sub-information is not matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs abnormally.
In this embodiment, when the result data of any one piece of sub-information in the metadata information of the task to be executed is abnormal, determining that the task to be executed is abnormal, for example, determining that the first result data of the task submitting time in the metadata information is 3 hours from a preset task execution result library, and determining that the second result data of the corresponding sub-information in the metadata information is 5 hours, determining that the task to be executed is abnormal, and when determining that the task to be executed is abnormal, determining recommended optimization suggestion according to the task to be executed, so as to facilitate subsequent optimization of performance of the task to be executed.
And S14, when the task to be executed normally operates, monitoring whether the business logic grammar needing to be optimized exists in the business logic information of the task to be executed.
In this embodiment, the service logic information of the task to be executed includes one or more service logic grammars, and when the task information is displayed, it is required to monitor whether the service logic grammar in the service logic information of the task to be executed needs to be optimized, so as to facilitate the subsequent optimization of the performance of the task to be executed.
In an optional embodiment, the monitoring whether the service logic grammar needed to be optimized exists in the service logic information of the task to be performed includes:
monitoring each business logic grammar in the business logic information of the task to be executed;
calculating a difference value between a first execution result of each business logic grammar and a second execution result of the corresponding business logic grammar in the preset task execution result library;
when the difference value is larger than or equal to a preset difference value threshold value, determining that service logic grammar needing to be optimized exists in the service logic information of the task to be executed; or alternatively
And when the difference value is smaller than the preset difference value threshold value, determining that the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed.
Illustratively, one of the business logic grammars of the task to be performed is: after the table M and the table N are associated, data fusion is carried out, and a first execution result is obtained by executing the business logic grammar, wherein the first execution result is as follows: the execution duration T1, wherein the second execution result of the corresponding business logic grammar in the preset task execution result library is: the execution duration T2 is longer than the execution duration T1 of the first execution result, and the difference between the calculated T1 and the calculated T2 is greater than the preset difference threshold, so that the service logic grammar in the task to be executed is determined to need to be optimized.
In this embodiment, by monitoring whether the service logic grammar to be optimized exists in the service logic information of the task to be executed, a recommended optimization suggestion is determined for the service logic grammar to be optimized, so that the task to be executed is optimized by adopting the recommended optimization suggestion in the following process, and the performance of the task to be executed is improved.
And S15, when the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed, displaying the metadata information and the business logic information of the task to be executed according to a preset display mode.
In this embodiment, a display manner may be preset, specifically, the preset display manner may be set according to a service analysis requirement, or may be set according to a development requirement, which is not limited herein.
In an optional embodiment, the displaying the metadata information and the service logic information of the task to be performed according to a preset displaying manner includes:
and displaying the metadata information of the task to be executed according to a preset first display mode, and displaying the business logic information of the task to be executed according to a preset second display mode.
In this embodiment, the preset first display manner may be displaying metadata information of the task to be executed in a chart manner; the preset second display mode may be to display service logic information of the task to be executed according to a graphical interface mode.
In this embodiment, by displaying the metadata information of the task to be executed in a chart manner and displaying the metadata information on a preview interface, stage task positioning can be intuitively performed in the chart, and stage task positioning efficiency of the task to be executed is improved.
Further, the displaying the business logic information of the task to be executed according to the preset second display mode includes:
Analyzing the business logic information of the task to be executed to obtain a plurality of stage tasks of the task to be executed;
determining the dependency relationship among the plurality of stage tasks according to the execution plan corresponding to the task to be executed;
and displaying the plurality of stage tasks according to a preset second display mode according to the dependency relationship among the plurality of stage tasks.
In this embodiment, an execution plan of the task to be executed is determined from the preset task execution plan database, and then a dependency relationship among a plurality of stage tasks of the task to be executed is determined according to the execution plan.
In this embodiment, according to the dependency relationship between the multiple stage tasks of the task to be executed, the complete execution plan of the task to be executed is displayed in a graphical interface manner, so that the task display effect of the task to be executed is improved, meanwhile, the execution process of the multiple stage tasks is quickly known according to the graphical interface, the code of the stage task can be optimized by analyzing the execution process, the execution time of the stage task is reduced, and the efficiency of the task to be executed is improved.
Further, the method further comprises:
When the abnormal operation of the task to be executed is determined, or when the business logic grammar needing to be optimized exists in the business logic information of the task to be executed, the task category of the task to be executed is identified;
acquiring a plurality of historical execution tasks according to the task category of the task to be executed;
calculating the structural similarity and the data similarity between the task to be executed and each historical execution task;
calculating the product of the structural similarity and a preset first weight value to obtain a first similarity;
calculating the product of the data similarity and a preset second weight value to obtain a second similarity;
calculating the sum of the first similarity and the second similarity to obtain the final similarity between the task to be executed and each historical execution task;
and based on the calculated final similarity between the task to be executed and each historical execution task, carrying out task clustering by adopting a preset clustering algorithm, and determining an optimization suggestion of the task to be executed.
Further, the calculating the structural similarity and the data similarity between the task to be executed and each of the historic execution tasks includes:
Calculating the similarity between the business logic information of the task to be executed and the business logic information of each history execution task to obtain the structural similarity between the task to be executed and each history execution task;
and calculating the similarity between the metadata information of the task to be executed and the metadata information of each historical execution task to obtain the data similarity between the task to be executed and each historical execution task.
In this embodiment, a first weight value may be preset, where the preset first weight value is used to characterize a ratio of service logic information to the task to be executed; and a second weight value can be preset, wherein the preset second weight value is used for representing the ratio of the metadata information to the task to be executed. The embodiment may calculate the structural similarity between the task to be executed and each of the history execution tasks by using an edit distance algorithm.
Further, based on the final similarity between the task to be executed and each historical execution task, performing task clustering by using a preset clustering algorithm, and determining an optimization suggestion of the task to be executed includes:
Searching in a preset parameter space based on the calculated final similarity between the task to be executed and each historical execution task, finding out a parameter solution with the minimum running time, and determining an optimization suggestion of the task to be executed according to the parameter solution with the minimum running time.
In this embodiment, the preset clustering algorithm may be Jaccard similarity, pearson similarity, and the like. In this embodiment, task clustering is performed by using a preset clustering algorithm based on the final similarity between the task to be executed and each historical execution task, so as to achieve the purpose of classification, and a parameter solution with the minimum running time is found from the task clustering algorithm, so that an optimization suggestion of the task to be executed is determined, the task to be executed is optimized according to the optimization suggestion, and the performance of the task to be executed is improved.
In some other alternative embodiments, the method includes:
receiving a task to be executed, and creating a multi-way tree based on the task to be executed, wherein each node of the multi-way tree comprises a task stage;
Executing the multi-way tree of the task to be executed, sequentially executing the stage task of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node, and extracting the metadata information and the business logic information of the task to be executed;
and displaying the metadata information of the task to be executed according to a preset first display mode, and displaying the business logic information of the task to be executed according to a preset second display mode.
In summary, according to the task information display method in this embodiment, on one hand, by displaying metadata information of the task to be executed, displaying the metadata information on a preview interface, stage task positioning can be intuitively performed, stage task positioning efficiency of the task to be executed is improved, meanwhile, according to a dependency relationship among a plurality of stage tasks of the task to be executed, by displaying a complete execution plan of the task to be executed, task display effect of the task to be executed is improved, execution processes of the plurality of stage tasks can be quickly known, codes of the stage tasks can be optimized by analyzing the execution processes, stage task execution duration is reduced, and efficiency of the task to be executed is improved; on the other hand, analyzing the metadata information of the task to be executed, determining whether the task to be executed normally runs or not according to the analysis result, checking the detailed condition of the task to be executed by clicking the metadata information, so that relevant optimization is carried out, corresponding problems are solved, and the abnormal running solving efficiency is improved; and finally, executing the multi-way tree of the task to be executed, sequentially executing the stage task of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node, extracting the metadata information and the service logic information of the task to be executed, sequentially scanning the operation script of the stage task of each node, extracting the metadata information and the service logic information of the task to be executed, avoiding the incompleteness phenomenon of the extracted metadata information and the service logic information caused by the operation script of the stage task without scanning, improving the integrality of the extracted metadata information and the service logic information, reducing the interference of other information, and improving the subsequent analysis efficiency by extracting the metadata information and the service logic information of the task to be executed.
Example two
Fig. 2 is a block diagram of a task information display device according to a second embodiment of the present invention.
In some embodiments, the task information presentation device 20 may include a plurality of functional modules that are comprised of program code segments. Program code for each program segment in the task information presentation device 20 may be stored in a memory of the electronic device and executed by the at least one processor to perform the functions of task information presentation (see fig. 1 for details).
In this embodiment, the task information display device 20 may be divided into a plurality of functional modules according to the functions performed by the task information display device. The functional module may include: the system comprises a creation module 201, an execution module 202, an analysis module 203, a monitoring module 204, a display module 205 and an identification module 206. The module referred to in the present invention refers to a series of computer program segments capable of being executed by at least one processor and of performing a fixed function, stored in a memory. In the present embodiment, the functions of the respective modules will be described in detail in the following embodiments.
The creating module 201 is configured to receive a task to be executed, and create a multi-way tree based on the task to be executed, where each node of the multi-way tree includes a task stage.
In this embodiment, the task to be executed may be a Hive task, and when task information is displayed, the task to be executed is sent to a server through a client, specifically, the client may be a smart phone, an IPAD or other existing smart devices, the server may be an information display subsystem, and in the information display process, if the client may send the task to be executed to the information display subsystem, the information display subsystem is configured to receive the task to be executed sent by the client, and specifically, the task to be executed includes a plurality of stage tasks.
In this embodiment, dependency relationships exist between different stage tasks of the task to be executed, and a multi-way tree corresponding to the task to be executed may be created according to the dependency relationships between the different stage tasks, where the more complex the task to be executed is, the more stage tasks are included, and the more complex the multi-way tree is obtained.
In an alternative embodiment, the creating module 201 creates a multi-way tree based on the task to be performed includes:
determining a target execution plan corresponding to the task to be executed from a preset task execution plan database;
Converting the task to be executed into a plurality of task stages according to the target execution plan;
randomly selecting a task stage as a root node of the task to be executed;
calculating the length difference between any remaining task phase and the task phase at the root node;
judging whether a task stage which is the same as the length difference exists or not;
when judging that the task phases with the same length difference exist, taking the task phases with the same length difference as a parent node, and taking the rest task phases as child nodes of the parent node;
and when judging that the task stage which is the same as the length difference does not exist, taking the root node as a father node, and taking the rest task stages as child nodes of the father node, wherein the length difference between the task stage at the father node and the task stage at the corresponding child node is taken as the weight of the edge between the father node and the child node.
In this embodiment, the multi-way tree is created according to the dependency relationship between each task stage in the tasks to be executed, and the execution plan of the tasks to be executed can be intuitively determined through the multi-way tree, so that the display efficiency of the execution plan of the tasks to be executed is improved.
And the execution module 202 is configured to sequentially execute the stage tasks of each node from the root node of the multi-tree, scan the operation script of the stage task of each node, and extract the metadata information and the service logic information of the task to be executed.
Specifically, the metadata information includes any one or more of the following combinations: the system comprises a task name, a task queue name, task submission time, task running time, total stage task number, running time of each stage task, map number, reduce number and Tracking URL.
Specifically, the business logic information is used to characterize the execution plan of each stage task of the task to be executed, for example: the tasks to be performed include 3-stage tasks: the execution plan among the 3 sub-stage tasks is as follows: and the A-stage task, the C-stage task and the B-stage task are executed, namely the A-stage task is executed, the C-stage task is executed, and the B-stage task is executed finally.
In this embodiment, the metadata information and the service logic information of the task to be executed are extracted by sequentially scanning the operation script of the stage task of each node, so that the phenomenon of incompleteness of the extracted metadata information and service logic information caused by missing the operation script of the stage task is avoided, the integrity of the extracted metadata information and service logic information is improved, and the interference of other information is reduced and the subsequent analysis efficiency is improved by extracting the metadata information and service logic information of the task to be executed.
And the parsing module 203 is configured to parse the metadata information of the task to be executed, and determine whether the task to be executed is operating normally according to the parsing result.
In this embodiment, the metadata information includes a plurality of sub-information, each sub-information corresponds to one result data, and whether the task to be executed runs normally can be determined according to the result data of the metadata information, for example, for the analysis result of the metadata information with longer duration, the metadata information Tracking URL can be clicked to jump to the history task detail log interface to check the details of the task to be executed, so that relevant optimization is performed, corresponding problems are solved, and the solution efficiency of abnormal running is improved.
In an optional embodiment, the parsing module 203 parses metadata information of the task to be performed, and determines whether the task to be performed is operating normally according to a parsing result, including:
determining first result data of each piece of sub-information in the metadata information from a preset task execution result library;
matching the first result data of each piece of sub-information with the second result data of the corresponding piece of sub-information in the metadata information;
When the first result data of each piece of sub-information is matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs normally; or alternatively
And when the first result data of any one piece of sub-information is not matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs abnormally.
In this embodiment, when the result data of any one piece of sub-information in the metadata information of the task to be executed is abnormal, determining that the task to be executed is abnormal, for example, determining that the first result data of the task submitting time in the metadata information is 3 hours from a preset task execution result library, and determining that the second result data of the corresponding sub-information in the metadata information is 5 hours, determining that the task to be executed is abnormal, and when determining that the task to be executed is abnormal, determining recommended optimization suggestion according to the task to be executed, so as to facilitate subsequent optimization of performance of the task to be executed.
And the monitoring module 204 is configured to monitor whether a service logic grammar to be optimized exists in the service logic information of the task to be executed when the task to be executed normally operates.
In this embodiment, the service logic information of the task to be executed includes one or more service logic grammars, and when the task information is displayed, it is required to monitor whether the service logic grammar in the service logic information of the task to be executed needs to be optimized, so as to facilitate the subsequent optimization of the performance of the task to be executed.
In an alternative embodiment, the monitoring module 204 monitors whether the service logic grammar that needs to be optimized exists in the service logic information of the task to be performed includes:
monitoring each business logic grammar in the business logic information of the task to be executed;
calculating a difference value between a first execution result of each business logic grammar and a second execution result of the corresponding business logic grammar in the preset task execution result library;
when the difference value is larger than or equal to a preset difference value threshold value, determining that service logic grammar needing to be optimized exists in the service logic information of the task to be executed; or alternatively
And when the difference value is smaller than the preset difference value threshold value, determining that the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed.
Illustratively, one of the business logic grammars of the task to be performed is: after the table M and the table N are associated, data fusion is carried out, and a first execution result is obtained by executing the business logic grammar, wherein the first execution result is as follows: the execution duration T1, wherein the second execution result of the corresponding business logic grammar in the preset task execution result library is: the execution duration T2 is longer than the execution duration T1 of the first execution result, and the difference between the calculated T1 and the calculated T2 is greater than the preset difference threshold, so that the service logic grammar in the task to be executed is determined to need to be optimized.
In this embodiment, by monitoring whether the service logic grammar to be optimized exists in the service logic information of the task to be executed, a recommended optimization suggestion is determined for the service logic grammar to be optimized, so that the task to be executed is optimized by adopting the recommended optimization suggestion in the following process, and the performance of the task to be executed is improved.
And the display module 205 is configured to display metadata information and service logic information of the task to be executed according to a preset display mode when the service logic grammar that needs to be optimized does not exist in the service logic information of the task to be executed.
In this embodiment, a display manner may be preset, specifically, the preset display manner may be set according to a service analysis requirement, or may be set according to a development requirement, which is not limited herein.
In an optional embodiment, the presenting module 205 presents the metadata information and the service logic information of the task to be performed according to a preset presenting manner includes:
and displaying the metadata information of the task to be executed according to a preset first display mode, and displaying the business logic information of the task to be executed according to a preset second display mode.
In this embodiment, the preset first display manner may be displaying metadata information of the task to be executed in a chart manner; the preset second display mode may be to display service logic information of the task to be executed according to a graphical interface mode.
In this embodiment, by displaying the metadata information of the task to be executed in a chart manner and displaying the metadata information on a preview interface, stage task positioning can be intuitively performed in the chart, and stage task positioning efficiency of the task to be executed is improved.
Further, the displaying the business logic information of the task to be executed according to the preset second display mode includes:
analyzing the business logic information of the task to be executed to obtain a plurality of stage tasks of the task to be executed;
determining the dependency relationship among the plurality of stage tasks according to the execution plan corresponding to the task to be executed;
and displaying the plurality of stage tasks according to a preset second display mode according to the dependency relationship among the plurality of stage tasks.
In this embodiment, an execution plan of the task to be executed is determined from the preset task execution plan database, and then a dependency relationship among a plurality of stage tasks of the task to be executed is determined according to the execution plan.
In this embodiment, according to the dependency relationship between the multiple stage tasks of the task to be executed, the complete execution plan of the task to be executed is displayed in a graphical interface manner, so that the task display effect of the task to be executed is improved, meanwhile, the execution process of the multiple stage tasks is quickly known according to the graphical interface, the code of the stage task can be optimized by analyzing the execution process, the execution time of the stage task is reduced, and the efficiency of the task to be executed is improved.
Further, the identifying module 206 is configured to identify a task category of the task to be executed when it is determined that the task to be executed is abnormally operated, or when a business logic grammar that needs to be optimized exists in the business logic information of the task to be executed; acquiring a plurality of historical execution tasks according to the task category of the task to be executed; calculating the structural similarity and the data similarity between the task to be executed and each historical execution task; calculating the product of the structural similarity and a preset first weight value to obtain a first similarity; calculating the product of the data similarity and a preset second weight value to obtain a second similarity; calculating the sum of the first similarity and the second similarity to obtain the final similarity between the task to be executed and each historical execution task; and based on the calculated final similarity between the task to be executed and each historical execution task, carrying out task clustering by adopting a preset clustering algorithm, and determining an optimization suggestion of the task to be executed.
Further, the calculating the structural similarity and the data similarity between the task to be executed and each of the historic execution tasks includes:
calculating the similarity between the business logic information of the task to be executed and the business logic information of each history execution task to obtain the structural similarity between the task to be executed and each history execution task;
and calculating the similarity between the metadata information of the task to be executed and the metadata information of each historical execution task to obtain the data similarity between the task to be executed and each historical execution task.
In this embodiment, a first weight value may be preset, where the preset first weight value is used to characterize a ratio of service logic information to the task to be executed; and a second weight value can be preset, wherein the preset second weight value is used for representing the ratio of the metadata information to the task to be executed. The embodiment may calculate the structural similarity between the task to be executed and each of the history execution tasks by using an edit distance algorithm.
Further, based on the final similarity between the task to be executed and each historical execution task, performing task clustering by using a preset clustering algorithm, and determining an optimization suggestion of the task to be executed includes:
Searching in a preset parameter space based on the calculated final similarity between the task to be executed and each historical execution task, finding out a parameter solution with the minimum running time, and determining an optimization suggestion of the task to be executed according to the parameter solution with the minimum running time.
In this embodiment, the preset clustering algorithm may be Jaccard similarity, pearson similarity, and the like. In this embodiment, task clustering is performed by using a preset clustering algorithm based on the final similarity between the task to be executed and each historical execution task, so as to achieve the purpose of classification, and a parameter solution with the minimum running time is found from the task clustering algorithm, so that an optimization suggestion of the task to be executed is determined, the task to be executed is optimized according to the optimization suggestion, and the performance of the task to be executed is improved.
In other alternative embodiments, a task to be executed is received, a multi-way tree is created based on the task to be executed, wherein each node of the multi-way tree comprises a task stage; executing the multi-way tree of the task to be executed, sequentially executing the stage task of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node, and extracting the metadata information and the business logic information of the task to be executed; and displaying the metadata information of the task to be executed according to a preset first display mode, and displaying the business logic information of the task to be executed according to a preset second display mode.
In summary, according to the task information display device of the present embodiment, on one hand, by displaying metadata information of the task to be executed and displaying the metadata information on a preview interface, stage task positioning can be intuitively performed, stage task positioning efficiency of the task to be executed is improved, meanwhile, according to a dependency relationship among a plurality of stage tasks of the task to be executed, a task display effect of the task to be executed is improved by displaying a complete execution plan of the task to be executed, execution processes of the plurality of stage tasks can be quickly known, codes of the stage tasks can be optimized by analyzing the execution processes, stage task execution duration is reduced, and efficiency of the task to be executed is improved; on the other hand, analyzing the metadata information of the task to be executed, determining whether the task to be executed normally runs or not according to the analysis result, checking the detailed condition of the task to be executed by clicking the metadata information, so that relevant optimization is carried out, corresponding problems are solved, and the abnormal running solving efficiency is improved; and finally, executing the multi-way tree of the task to be executed, sequentially executing the stage task of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node, extracting the metadata information and the service logic information of the task to be executed, sequentially scanning the operation script of the stage task of each node, extracting the metadata information and the service logic information of the task to be executed, avoiding the incompleteness phenomenon of the extracted metadata information and the service logic information caused by the operation script of the stage task without scanning, improving the integrality of the extracted metadata information and the service logic information, reducing the interference of other information, and improving the subsequent analysis efficiency by extracting the metadata information and the service logic information of the task to be executed.
Example III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. In the preferred embodiment of the invention, the electronic device 3 comprises a memory 31, at least one processor 32, at least one communication bus 33 and a transceiver 34.
It will be appreciated by those skilled in the art that the configuration of the electronic device shown in fig. 3 is not limiting of the embodiments of the present invention, and that either a bus-type configuration or a star-type configuration is possible, and that the electronic device 3 may also include more or less other hardware or software than that shown, or a different arrangement of components.
In some embodiments, the electronic device 3 is an electronic device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an application specific integrated circuit, a programmable gate array, a digital processor, an embedded device, and the like. The electronic device 3 may further include a client device, where the client device includes, but is not limited to, any electronic product that can interact with a client by way of a keyboard, a mouse, a remote control, a touch pad, or a voice control device, such as a personal computer, a tablet computer, a smart phone, a digital camera, etc.
It should be noted that the electronic device 3 is only used as an example, and other electronic products that may be present in the present invention or may be present in the future are also included in the scope of the present invention by way of reference.
In some embodiments, the memory 31 is configured to store program codes and various data, such as the task information presentation device 20 installed in the electronic device 3, and to implement high-speed, automatic access to programs or data during operation of the electronic device 3. The Memory 31 includes Read-Only Memory (ROM), programmable Read-Only Memory (PROM), erasable programmable Read-Only Memory (EPROM), one-time programmable Read-Only Memory (One-time Programmable Read-Only Memory, OTPROM), electrically erasable rewritable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
In some embodiments, the at least one processor 32 may be comprised of an integrated circuit, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The at least one processor 32 is a Control Unit (Control Unit) of the electronic device 3, connects the respective components of the entire electronic device 3 using various interfaces and lines, and executes various functions of the electronic device 3 and processes data by running or executing programs or modules stored in the memory 31 and calling data stored in the memory 31.
In some embodiments, the at least one communication bus 33 is arranged to enable connected communication between the memory 31 and the at least one processor 32 or the like.
Although not shown, the electronic device 3 may further include a power source (such as a battery) for powering the various components, and optionally, the power source may be logically connected to the at least one processor 32 via a power management device, thereby implementing functions such as managing charging, discharging, and power consumption by the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 3 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The integrated units implemented in the form of software functional modules described above may be stored in a computer readable storage medium. The software functional modules described above are stored in a storage medium and include instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device, etc.) or a processor (processor) to perform portions of the methods described in the various embodiments of the invention.
In a further embodiment, in conjunction with fig. 2, the at least one processor 32 may execute the operating device of the electronic device 3 and various installed applications (such as the task information display 20), program code, etc., such as the various modules described above.
The memory 31 has program code stored therein, and the at least one processor 32 can invoke the program code stored in the memory 31 to perform related functions. For example, each module shown in fig. 2 is a program code stored in the memory 31 and executed by the at least one processor 32, so as to implement the functions of each module for the purpose of task information presentation.
Illustratively, the program code may be partitioned into one or more modules/units that are stored in the memory 31 and executed by the processor 32 to perform the present application. The one or more modules/units may be a series of computer readable instruction segments capable of performing the specified functions, which instruction segments describe the execution of the program code in the electronic device 3. For example, the program code may be divided into a creation module 201, an execution module 202, a parsing module 203, a monitoring module 204, a presentation module 205, and an identification module 206.
In one embodiment of the present application, the memory 31 stores a plurality of instructions that are executed by the at least one processor 32 to implement the functionality of task information presentation.
Specifically, the specific implementation method of the above instruction by the at least one processor 32 may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. 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 the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it will be obvious that the term "comprising" does not exclude other elements or that the singular does not exclude a plurality. The units or means stated in the invention may also be implemented by one unit or means, either by software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A method for displaying task information, the method comprising:
receiving a task to be executed, and creating a multi-way tree based on the task to be executed, wherein each node of the multi-way tree comprises a task stage;
sequentially executing the stage tasks of each node from the root node of the multi-way tree, scanning the operation script of the stage tasks of each node, and extracting the metadata information and the business logic information of the tasks to be executed;
analyzing metadata information of the task to be executed, and determining whether the task to be executed normally runs or not according to an analysis result;
when the task to be executed normally operates, monitoring whether service logic grammar needing to be optimized exists in service logic information of the task to be executed; when the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed, displaying the metadata information and the business logic information of the task to be executed according to a preset display mode;
When the abnormal operation of the task to be executed is determined, or when the business logic grammar needing to be optimized exists in the business logic information of the task to be executed, the task category of the task to be executed is identified; acquiring a plurality of historical execution tasks according to the task category of the task to be executed; calculating the structural similarity and the data similarity between the task to be executed and each historical execution task, wherein the method comprises the following steps: calculating the similarity between the business logic information of the task to be executed and the business logic information of each history execution task to obtain the structural similarity between the task to be executed and each history execution task; calculating the similarity between the metadata information of the task to be executed and the metadata information of each historical execution task to obtain the data similarity between the task to be executed and each historical execution task; calculating the product of the structural similarity and a preset first weight value to obtain a first similarity; calculating the product of the data similarity and a preset second weight value to obtain a second similarity; calculating the sum of the first similarity and the second similarity to obtain the final similarity between the task to be executed and each historical execution task; and based on the calculated final similarity between the task to be executed and each historical execution task, carrying out task clustering by adopting a preset clustering algorithm, and determining an optimization suggestion of the task to be executed.
2. The task information display method according to claim 1, wherein the determining the optimization suggestion of the task to be performed by performing task clustering using a preset clustering algorithm based on the calculated final similarity between the task to be performed and each of the historically performed tasks includes:
searching in a preset parameter space based on the calculated final similarity between the task to be executed and each historical execution task, finding out a parameter solution with the minimum running time, and determining an optimization suggestion of the task to be executed according to the parameter solution with the minimum running time.
3. The method for displaying task information according to claim 1, wherein displaying metadata information and business logic information of the task to be executed according to a preset display manner includes:
and displaying the metadata information of the task to be executed according to a preset first display mode, and displaying the business logic information of the task to be executed according to a preset second display mode.
4. The task information presentation method as claimed in claim 1, wherein the monitoring whether the service logic grammar required to be optimized exists in the service logic information of the task to be performed comprises:
Monitoring each business logic grammar in the business logic information of the task to be executed;
calculating a difference value between a first execution result of each business logic grammar and a second execution result of the corresponding business logic grammar in a preset task execution result library;
when the difference value is larger than or equal to a preset difference value threshold value, determining that service logic grammar needing to be optimized exists in the service logic information of the task to be executed; or alternatively
And when the difference value is smaller than the preset difference value threshold value, determining that the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed.
5. The task information presentation method as claimed in claim 1, wherein the parsing the metadata information of the task to be performed and determining whether the task to be performed is operating normally according to the parsing result comprises:
determining first result data of each piece of sub-information in the metadata information from a preset task execution result library;
matching the first result data of each piece of sub-information with the second result data of the corresponding piece of sub-information in the metadata information;
when the first result data of each piece of sub-information is matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs normally; or alternatively
And when the first result data of any one piece of sub-information is not matched with the second result data of the corresponding piece of sub-information in the metadata information, determining that the task to be executed runs abnormally.
6. A task information presentation apparatus for implementing the task information presentation method according to any one of claims 1 to 5, the apparatus comprising:
the creating module is used for receiving a task to be executed and creating a multi-way tree based on the task to be executed, wherein each node of the multi-way tree comprises a task stage;
the execution module is used for sequentially executing the stage tasks of each node from the root node of the multi-way tree, scanning the operation script of the stage task of each node and extracting the metadata information and the service logic information of the task to be executed;
the analysis module is used for analyzing the metadata information of the task to be executed and determining whether the task to be executed normally runs or not according to an analysis result;
the monitoring module is used for monitoring whether the service logic grammar needing to be optimized exists in the service logic information of the task to be executed or not when the task to be executed normally runs;
and the display module is used for displaying the metadata information and the business logic information of the task to be executed according to a preset display mode when the business logic grammar needing to be optimized does not exist in the business logic information of the task to be executed.
7. An electronic device comprising a processor and a memory, wherein the processor is configured to implement the task information presentation method according to any one of claims 1 to 5 when executing a computer program stored in the memory.
8. A computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the task information presentation method of any of claims 1 to 5.
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