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Task monitoring method, device and equipment based on data medium, and medium

A task monitoring and task technology, applied in computer equipment and storage media, in the field of task monitoring based on the data middle platform, can solve the problems of limited application scenarios, inability to adapt to multi-scenario task progress monitoring, etc., and achieve the effect of expanding usage scenarios

Pending Publication Date: 2022-05-27
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention provides a task monitoring method, device, computer equipment, and storage medium based on a data center, aiming at solving the problem that the task monitoring system in the prior art is based on the current task that continuously sends prompt information, and is developed for a specified scenario. The prompt system, the application scenarios are limited, and the problem of not being able to adapt to multiple scenarios for task progress monitoring

Method used

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  • Task monitoring method, device and equipment based on data medium, and medium
  • Task monitoring method, device and equipment based on data medium, and medium
  • Task monitoring method, device and equipment based on data medium, and medium

Examples

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no. 1 example

[0050] In one embodiment, as the first embodiment of acquiring the follow-up task data described in step S104, it includes:

[0051] If it is determined that the remaining memory size value of the distributed computing engine exceeds the preset memory threshold, the follow-up task data in the task middle-stage server is obtained through the change data acquisition plug-in in the distributed computing engine.

[0052] In this embodiment, the submitted changes (these changes) can be obtained from the server in the task middle stage through the change data acquisition plug-in in the distributed computing engine (for example, FlinkCDC, that is, Flink's Change Data Capture, which means change data acquisition). Can include INSERT, DELETE, UPDATE, etc.), and save these changes to the distributed computing engine for use by the distributed computing engine. For example, when the follow-up task data of the mid-task server is obtained through FlinkCDC, the follow-up task data is stored...

no. 2 example

[0053] In one embodiment, as the second embodiment of acquiring the follow-up task data described in step S104, it includes:

[0054] If it is determined that the value of the remaining memory size of the distributed computing engine does not exceed the preset memory threshold, obtain the connection string information of the server in the middle of the task, and establish a connection with the server in the middle of the task according to the connection string information to obtain the follow-up task data, sending the follow-up task data to the distributed computing engine.

[0055] In this embodiment, if the current remaining memory of the distributed computing engine is extremely small and is not enough to handle the acquisition of follow-up task data based on the change data plug-in, the distributed computing engine can be based on the connection string information ( i.e. JDBC connection string) to establish a connection with the task mid-stage server, directly obtain the f...

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Abstract

The invention relates to a big data technology, and provides a task monitoring method, device, equipment and medium based on a data platform, and the method comprises the steps: firstly obtaining object information to determine follow-up object information, and sending the corresponding follow-up task setting notification information to a corresponding receiving end; if follow-up task data sent by a receiving end is received, the follow-up task data is stored in a corresponding first storage space in a task platform server, and then the follow-up task data is acquired and stored in a corresponding second storage space in a distributed computing engine; and finally, when the current system time meets a task issuing condition, sending the follow-up task data to a corresponding receiving end. The follow-up task data is configured in a user-defined mode based on the task platform server, the follow-up task data is distributed in the distributed computing engine, the use scene of the task platform is expanded, and the task platform can be adapted to multi-task scenes to conduct task progress monitoring.

Description

technical field [0001] The invention relates to the field of data processing of big data, in particular to a task monitoring method, device, computer equipment and storage medium based on a data middle station. Background technique [0002] At present, task management systems are widely used in all walks of life. For example, taking the creation of a training task as an example, when a current task is created in the task management system to urge the trainer to carry out the training task at a specified time, the current task is stored in the server and the server continuously sends reminder information (such as email reminders). information) to the terminal corresponding to the current task to prompt the task, but the current task management system is only a specific task management system developed for the specified scene and is suitable for the specified scene. Extended application. SUMMARY OF THE INVENTION [0003] The embodiments of the present invention provide a t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10G06Q50/20G06F16/22G06F16/28
CPCG06Q10/1097G06Q10/1053G06Q50/2057G06F16/2282G06F16/284Y02P90/02
Inventor 罗健
Owner PING AN TECH (SHENZHEN) CO LTD