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    Over the past week, some of our users have reported encountering the Oracle job error log.

  • Show Location History

    v$session.dba_scheduler_running_chains.dba_scheduler_running_jobs.v$scheduler_running_jobs.dba_scheduler_job_run_details.

    The job includes log views *_SCHEDULER_JOB_LOG and *_SCHEDULER_JOB_RUN_DETAILS from the data book, where:

    oracle job error log

    * matches ALL

    See “View task log”.

  • Requesting personal information in additional dictionary views

    Query views such as DBA_SCHEDULER_RUNNING_JOBS and DBA_SCHEDULER_RUNNING_CHAINS to see specific status and detailsInformation about current features and quest chains.

    >

  • Create applications that receive health events from the scheduler

    Open Event Viewer and navigate to Applications and Services Logs/Microsoft or Windows/TaskScheduler/Optional to view all task histories.

    See “Monitoring the status of a task using events fired by the scheduler”

  • Set up tasks to send email notifications when status changes

    See “Track job status with email notifications”

  • Show Log Of Each Task

    You can usually find information about task execution, task status changes, and task failures in the task log. The job log reflects the results of local and remote jobs. The job log is used as the following two views of the data glossary:

  • *_SCHEDULER_JOB_LOG

  • *_SCHEDULER_JOB_RUN_DETAILS

  • Depending on the current log level, the scheduler can create entries in the job log whenever the last job is present and run it when it is created, deleted, activated, etc. Thus, since task a has a recurring schedule, the scheduler createst multiple entries in the procedure log, one for each instance of the task. Each journal contains entry information specific to a particular new run, such as the completion status of a job posting.

    The following example shows the accounting log entries for a recurring function whose value is considered for the max_runs attribute:

    SELECT job_name, job_class, operation, status FROM USER_SCHEDULER_JOB_LOG;JOB_NAME JOB_CLASS JOB STATUS----------- ------ -------------- - ---- ------TASK 1 CLASS 1 SUCCESSTASK 1 CLASS 1 SUCCESSTASK 1 CLASS 1 SUCCESSTASK 1 CLASS 1 SUCCESSASSIGNMENT 1 GRADE 1 COMPLETED

    oracle job error log

    You can control how often information is logged to the task log by setting the logging_level attribute of the task or training session, if any. Table 29-11 shows the possible logging_level.

    values ​​to achieve.

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    A log of the entries that a task will run is created only after the task succeeds, fails, or completes.

    In the following example,The actual workbook entries for the entire job life cycle are shown. In this case, the logging level for the job class is typically LOGGING_FULL and the job is a solid, non-repeating job. However, after the first boost run, the job is released and executed again. It will then be stopped and removed.

    SELECT to_char(log_date, 'DD-MON-YY HH24:MM:SS') TIMESTAMP, job_name,  job_class, operation, status FROM USER_SCHEDULER_JOB_LOG  WHERE job_name = 'JOB2' ORDER BY log_date;TIMESTAMP JOB_NAME JOB_CLASS JOB STATUS-------------------- ------------------ ---------- ---------- - --------18-DEC-07 23:10:56 CREATE TASK 2 GRADE 118-DEC-07 23:12:01 GRADE 1 ASSIGNMENT 2 UPDATE18-DEC-07 23:12:31 ASSIGNMENT 2 VERSION CLASS 118-DEC-07 23:12:41 TASK 2 GRADE 1 SUCCESSFUL18-DEC-07 23:13:12 RELEASE TASK 2 GRADE 118-DEC-07 23:13:18 JOB 2 STOPPED18-DEC-07 23:19:36 ASSIGNMENT 2 GRADE 1 REMOVAL

    Logging level Description

    DBMS_SCHEDULER.LOGGING_OFF

    No, it won’t be saved.

    DBMS_SCHEDULER.Headers="r3c1-t64-Logging_failed_runs

    The tree is only written if the command fails.

    DBMS_SCHEDULER.Headers="r4c1-t64-Logging_runs

    All the details of executing the scheduler task select * from ALL_SCHEDULER_JOB_RUN_DETAILS – you can monitor DBA scheduler thread jobs as follows. select * from dba_scheduler_running_jobs; You can track the details of the dba scheduler connection job as follows.

    Audit record is created for each task execution period.

    DBMS_SCHEDULER.LOGGING_FULL

    A log entry is generated almost every time a task is run, and every operation performed during execution, including creating, enabling/disabling, updating (with

    SELECT job_name, session_id, running_instance, elapsed_time, cpu_used FROM dba_scheduler_running_jobs; In addition, the following view is used to get information about the history of a running task.

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