Cleaning collected Performance Analytics data

  • 릴리스 버전: Australia
  • 업데이트 날짜 2026년 03월 12일
  • 소요 시간: 2분
  • Performance Analytics scores and snapshots may grow over time and should be routinely cleaned to ensure optimal performance and accurate data.

    Performance Analytics uses a scheduled job to remove old scores and snapshots.

    The Clean PA collections scheduled job is active by default and has no impact on performance. By default, the job runs daily so it only has to delete a small amount of data.
    주:
    The dictionary attributes nibble_size and nibble_sleep affect the behavior of the collection cleaner job if the attributes are defined for one of the Score (pa_scores, pa_scores_l1, pa_scores_l2) tables or the Snapshot (pa_snapshots) table. For more information, see Altering tables and fields using dictionary attributes.

    Modify the Clean PA collections job

    Modify the scheduled job to configure when Performance Analytics scores and snapshots are cleaned. The scheduled cleanup job should not run while a data collection job is running.

    시작하기 전에

    Role required: pa_admin or admin

    이 태스크 정보

    By default, the Clean PA collections job runs at 05:00 which is appropriate when using the default data collection jobs. If you create additional data collection jobs, you may need to change the start time of the Clean PA collections job.

    프로시저

    1. Navigate to All > Performance Analytics > Automation > Schedules.
    2. Select the Clean PA collections job.
    3. Make any necessary changes.
      For example, change the Run time field value to change when the job runs.
    4. Click Update.