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    If you are seeing an opsview clean runtime database error message on your computer, you should check out these troubleshooting tips.

    Opsview Data Oder ODW is clearly a long-term observational data store. It converts a run-time resource database into an OLAP (On Line Analytical Processing) data warehouse file format. When creating reports, the data is retrieved from the Opsview data store.

    The key requirement for a data warehouse is not data normalization, but persistent query resolution that can be easily built. As you will see, we inform you that we have achieved this goal.

    The data warehouse retrieves data once per hour. It works if you have made changes to the configuration and saves them if necessary. At this stage, it saves various information about the time before performing the summary statistics measurement.

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  • Step 2: Install it on your computer
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  • ODW calculates information based on the opsview of the central runtime website. All data collectors tracking remote sites can automatically submit their information to Qui Orchestrator, update the central list, and therefore also register with ODW.

  • Only service information can be registered as tagged.
  • The Data Warehouse was built largely on the advice of using the Ralph Book, Kimball’s The Data Warehouse Toolkit.

    Go to Settings > My System and go to the ODW tab, enable to import ODW. Task

    cron only runs after 4 minutes of every hour of importing directly into

    Important: There is another standard check of the Opsview service called the Data Store. This report issues a warning if the ODW database is out of date. This is configured to notify your family if more than an hour has passed since the import.



    Measurements are mainly related to maintenance and runtime checks. Because we can also manage about the hosts configuration and management information, per host/service There may be more than one line. When designing a SQL query, keep in mind that there can be an infinite number of rows, and join the corresponding tables for one person.

    There is also a labeling aspect of utilities. This allows you to quickly find out what performance recommendations are available for the installed host.

    This is important information. There are five tables:

  • state_history – Shows all state changes that have occurred for a particular service.
  • servicecheck_results – This specification displays the result of each check for each service.
  • performance_data: Shows each performance of all product and service performance. In this case, if you are only using averages, use the performance_hourly_summary
  • table instead

  • downtime_host_history and downtime_service_history – Contains downtime data for all service hosts and.
  • acknowledgment_host Answer_service and contains all acknowledgments for each host and service
  • Note The downtime_host_history tables as well as the downtime_service_history tables use nagios_object_id as the key for the host/service. This is due to the fact that the timeI downtime is the time of this zone, perhaps because the configuration of the host or just the service will change, so the key point will be different. However, since Nagios_object_id is fixed, we can object to this. Recovery tables are acknowledgment_host acknowledgment_service and don’t use nagios_object_id because this acknowledgment happens at a point in time and therefore not the same problem.

    There are two tables:

  • service_availability_hourly_summary
  • performance_hourly_summary
  • opsview clean runtime database

    This is usually an array grouping information by state_history, downtime_host_history, `downtime_service_history, acknowledgment_host and containing the time < code>acknowledgment_service to provide numerical information about how many volume seconds the service is undoubtedly in a particular state. Allows you to perform the following quick calculations to detect any harm.

    The columns of this route table are:

  • start_datetime – this is the time for summary information.
  • seconds_ok is the total number of seconds that this business has been up.
  • seconds_not_ok – usually ok Not_ok += three thousand six hundred (this is incorrecto if the service should start in the middle of a certain hour)
  • seconds_warning – delay before a warning condition occurs
  • seconds_critical – connection time in state
  • seconds_unknown – critical duration in unknown state
  • seconds_not_ok_hard – same as second_not_ok, so based on hard assertion only
  • seconds_warning_hard – Duration of a hard warning. –
  • seconds_critical_hard is the amount and time spent in a dangerous hard state.
  • seconds_unknown_hard – Time duration in a specific unknown hardware state.
  • seconds_not_ok_scheduled – A limited amount of scheduled downtime associated with a host/service and a service that is out of order.
  • seconds_warning_scheduled
  • Seconds_critical_scheduled
  • seconds_unknown_scheduled – because the sum of Warning, Critical and therefore unknown results in second_not_ok_scheduled
  • seconds_unacknowledged – The delay after a hard move before an acknowledgment is delivered. See the notes on the second_unacknowledged formula below.
  • seconds_unhandled – the service time of the phase that has an error, has not been acknowledgedand the time exceeded downtime, and the host was operational. See notes below for calculation related to second_unhandled
  • seconds_unhandled_hard: The time when the online system was down due to difficult circumstances, was not recognized and was not part of the downtime, and the host was up.
  • Notes:

  • On first import, all errors are considered confirmed.
  • Downtime before the first transfer is ignored
  • Acknowledged and scheduled downtime may not be state dependent, so they are not values
  • ‘*_soft’ has been recently added
  • seconds_not_ok_scheduled is incremented each time a downtime is scheduled for a service that may already be in an unhealthy state
  • opsview clean runtime database

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    Opsview 클린 런타임 데이터베이스
    Baza Danych Czystego środowiska Uruchomieniowego Opsview
    Base De Datos De Tiempo De Ejecución Limpia De Opsview
    Opsview Clean Runtime Database
    Opsview Clean Runtime-Datenbank
    Database Di Runtime Pulito Di Opsview
    Opsview Nettoyer La Base De Données D’exécution
    Opsview Clean Runtime-database
    Banco De Dados De Tempo De Execução Limpo Do Opsview
    Opsview Чистая база данных времени выполнения