Windows Task Scheduler Fails With Error Code 2147943785

本文介绍了解决Windows任务计划程序出现错误代码2147943785的方法。此问题通常由于权限设置不当导致,具体为运行计划任务的用户缺少“作为批处理作业登录”的权限。解决方案涉及调整本地安全策略中的用户权限分配。

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Problem: Windows Task Scheduler Fails With Error Code 2147943785

Solution: This is usually due to a permissions issue. It’s due to the user that is running the scheduled task not having the Log On As Batch Job assignment. To fix it, have your Network Administrator go to Start Menu > Administrative Tools > Local Security Policy > Local Policies > User Rights Assignment > Log On As Batch Job as seen below:

转载于:https://www.cnblogs.com/terrence/p/5809457.html

### Java Quartz Scheduler Execution Flow and Working Mechanism Quartz Scheduler is a powerful, open-source job scheduling library that can be integrated into Java applications to schedule tasks. Its execution flow and working mechanism are designed to provide flexibility and scalability for task scheduling. #### Initialization of the Scheduler The Quartz Scheduler begins its lifecycle with initialization. During this phase, the scheduler reads configuration settings from a properties file or programmatic configurations. These settings include thread pool size, job store type (RAMJobStore or JDBCJobStore), and other relevant parameters[^1]. The initialization process ensures that all necessary components are ready before the scheduler starts executing jobs. #### Job Scheduling Once initialized, the scheduler allows developers to define jobs and triggers. A **Job** represents the task to be executed, while a **Trigger** defines when the job should run. Jobs are implemented by creating classes that implement the `Job` interface, and triggers can be of various types such as `SimpleTrigger` or `CronTrigger`[^1]. When a job is scheduled, it is stored in the job store. If the RAMJobStore is used, the job data is kept in memory, which is fast but not persistent. For persistent storage, the JDBCJobStore is used, which stores job data in a database. #### Execution of Jobs The execution of jobs follows a well-defined mechanism: - The scheduler maintains a thread pool to execute jobs concurrently. - When a trigger fires, the scheduler selects an available thread from the pool and assigns the job to it. - The job's `execute()` method is called within the thread, allowing the business logic to be executed. If a job requires additional functionality beyond the basic execution, plugins can be utilized. Plugins allow developers to extend the Quartz framework without modifying its core source code[^1]. This is particularly useful for adding custom behavior or integrating with other systems. #### Error Handling and Recovery In cases where a job execution fails, Quartz provides mechanisms to handle errors gracefully. For example, if a job throws an exception, the scheduler can be configured to retry the job or log the error for further investigation. Additionally, paused executions can be resumed using specific APIs, ensuring that interrupted workflows can continue seamlessly[^3]. #### Integration with Other Frameworks Quartz can also integrate with other frameworks such as Spring. In Spring-based applications, Quartz jobs can be defined as application beans, adhering to the JavaBeans naming convention[^4]. This integration allows for easier management of job configurations and dependencies within the Spring context. ```java // Example of a Quartz Job implementation public class SampleJob implements Job { @Override public void execute(JobExecutionContext context) throws JobExecutionException { System.out.println("Executing Sample Job"); } } ``` ###
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