View analytic details and status

Both real-time and big data analytics offer a details page containing information about and options for working with the analytic. Additionally, within an analytic metrics can be activated that represent analytic status and a variety of relevant information regarding features read in and out, and the average rate of features being ingested and processed.

Details page

When clicking to open a real-time or big data analytic, the analytic details page is presented to the user. This page is a starting point for working with any existing analytic. The following actions can be completed from the details page:

Real-time analytic details page

Within a real-time analytic details page, the following actions can be taken:

  • Edit—Edit the analytic.
  • Clone—Clone the analytic to create a similar version of the analytic.
  • Share—Edit analytic sharing so other users with whom the analytic is shared can create their own analytic based on the configuration.
  • Delete—Delete the analytic.
  • Start / Stop—Represents the analytic running status based on which option is available.
  • Item details—Opens the ArcGIS Online item details page for the analytic item.
  • Metrics—View overall and specific metrics for different components of the analytic.

Real-time analytic details page

Big data analytic details page

Within a big data analytic details page, the following actions can be taken:

  • Edit—Edit the analytic.
  • Clone—Clone the analytic to create a similar version of the analytic.
  • Share—Edit analytic sharing so other users with whom the analytic is shared can create their own analytic based on the configuration.
  • Delete—Delete the analytic.
  • Start / Stop—Represents the analytic running status based on which option is available.
  • Item details—Opens the ArcGIS Online item details page for the analytic item.
  • Metrics—View overall and specific metrics for different components of the analytic.

Big data analytic details page

Status and metrics

From the analytic details page, or from within an analytic on workflow or model view, metrics can be optionally enabled for viewing. Metrics are designed to provide additional insight into the operational state of your analytic. Real-time and big data analytics display different metrics relevant to the type of analysis being performed.

Real-time analytic metrics

Real-time analytic metrics provide the average rate of events through each step. For example, if a feed is ingesting data at the rate of 50 events per second, then the metrics would display 50 e/s, where e/s represents events per second. In the below example, the number of features passed through the analytic is reduced by the Filter by Expression tool.

Real-time analytic metrics represent an average of the rate for each step across the past five minutes of runtime. Additionally, while a real-time analytic is running the metrics will represent the compute utilization of the analytic.

  • In workflow view:

    Real-time analytic metrics in workflow view

  • In model view:

    Real-time analytic metrics in model view

Big data analytic metrics

When a big data analytic is running, the metrics will display time elapsed (since the analytic started running) and the compute utilization of the analytic.

After a big data analytic finishes running, the metrics provide the total number of features loaded into the analytic by sources and sent out of the analytic to outputs for all sources and outputs. Additionally, each source, tool, and output will indicate the number of features processed by that step of analysis.

Big data analytic metrics can be useful when troubleshooting not getting the expected number of features in an output. Simply run the big data analytic and then inspect at which processing step the number of features is reduced beyond what is expected.

  • In workflow view:

    Big data analytic metrics in workflow view

  • In model view:

    Big data analytic metrics in model view