USER_SCHEDULER_JOB_LOGは、現行のユーザーが所有するスケジューラ・ジョブに関するログ情報を示します。このビューの列は、ALL_SCHEDULER_JOB_LOGの列と同じです。関連項目: 「ALL_SCHEDULER_JOB_LOG」前 次 Copyright ©2002, 2015,Oracle and/or its affiliates. All rights reserved. | Cookie ...
而后,我在SYS下面创建job,在SYS下面执行job,发现执行是成功的,这时候发现可能是权限的问题,于是又给我当前用户赋予执行job的权限。 grant create job to orace_user1; grant manage scheduler to orace_user1; GRANT EXECUTE ON DBMS_JOB TO USER; 最主要的是下面的那个 给用户赋予当前用户可以执行存储过程的权...
ISchedulerJobEvents ISchedulerJobV2 ISchedulerJobV3 ISchedulerJobV3SP1 ISchedulerJobV3SP2 ISchedulerJobV3SP3 ISchedulerJobV4 ISchedulerJobV4SP1 ISchedulerJobV4SP2 ISchedulerJobV4SP3 ISchedulerNode ISchedulerNodeCounters ISchedulerNodeEvents ISchedulerNodeReachableEvents ISchedulerNodeV2 ISchedulerNodeV3 I...
编辑 说明 OceanBase 数据库暂未支持该视图。 功能 展示当前用户拥有的调度作业参数信息。 相关视图 DBA_SCHEDULER_JOB_ARGS ALL_SCHEDULER_JOB_ARGS 字段说明 字段名称类型是否可以为 NULL描述 JOB_NAMEVARCHAR2(30)NO参数所属作业的名称 ARGUMENT_NAMEVARCHAR2(30)NO参数的可选名称 ...
Donau Scheduler CLI provides the preHook and postHook commands during job submission. preHook is used to prepare for the execution of a job, and postHook is used to end the execution of a job. Background processes cannot run in preHook and postHook. Otherwise, background processes still ex...
PendingThe scheduler is evaluating the job run to prioritize and schedule the run for the application. ScheduledEMR Serverless has scheduled the job run for the application, and is allocating resources to execute the job. RunningEMR Serverless has allocated the resources that the job initially needs...
Job Management with SAP Central Process Scheduling and SAP Solution Manager This session showcases the capabilities offered by SAP's Central Process Scheduler by Redwood, to automate the background job processing in your landscape . Also showcased is the integration with SAP's Solution Manager which...
四、一个job运行处理的整体流程 五、Yarn调度器Scheduler 六、YARN的HA架构 一、概念理解 Apache Hadoop YARN(Yet Another Resource Negotiator,另一种资源协调者)是一种新的Hadoop资源管理器,它是一个通用资源管理系统,可为上层应用提供统一的资源管理和调度,它的引入为集群在利用率、资源统一管理和数据共享等方面带...
In Permission, choose Yarn > Scheduler Queue > root. Select Submit for default, and click OK. After you submit applications, WARN logs are printed on the client based on your configuration about the preceding role. The WARN log is generated because Flink obtains the remaining resource value ...
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