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Databricks Event Analysis report

A report to identify events based on different criteria. This report can analyze data from Spark applications.

  1. Click Generate Reports > New button.

  2. In the New Report dialog box, enter the following details.





    Name of the report.


    Select your platform. The reports corresponding to the selected platform are only listed in the Report type. If you select the All option, all the reports are listed.

    Report type

    Type of report. Select Databricks Events Analysis Report.


    Select the checkbox to schedule the report to run daily, hourly, weekly, or monthly. You can also set the schedule can using a cron expression. You can expand the Example drop-down and select the corresponding options. The next four sample run times are displayed for reference.


    The number of days to retain the report files. All the reports are stored in the unity-one/src/assets/reports/jobs directory. After completion of the retention period, the report files are automatically purged.


    Look Back

    The period ranges in days when applications can be selected for report generation. There is a notification displayed above this option that informs about the duration when data is available for the report.

    Use Exact Date-Time

    Check this option and select the from and to dates to schedule the report for the exact time range specified. The only anomaly with this option is that the same report will be scheduled to be generated repeatedly.


    Select the reports that you want to be included in the analysis report.

    Features Filter

    Specify the Key-Value pair. You can add or remove a pair.


    Email to

    Email ID to send the notification when the report is generated. You can specify multiple email IDs with comma separation. You can also select the Attach Files to Email checkbox to receive the reports as an attachment.

    Advance Options

    Profile Memory

    Select this option if you want to generate logs that help to troubleshoot scenarios where the report takes excessive time to generate or fails to generate.


    The option will increase the report run time excessively.

  3. Click OK. The generated reports will be listed under Reports on the App UI.

  4. Select the generated report and then click Run. After the report is successfully run, the details of the report runs are listed in the Run box on the right.

  5. Click the following:

    • HTML files link to view the report details.

    • Input parameters link to view the parameters you chose to run the report.

    • Log file link to view the logs of the report.

This report will generate one file for each report you selected during creation, which contains details about the app such as cost, CPU time, and memory seconds along with signature and app link to the Unravel UI.

Viewing metrics and insights
  1. Open the report and click any app link from the Signature column.

    The Metrics tab displays the trend charts for the Duration, IO, MemorySeconds, and CPU metrics. The dots plotted on the trend charts are the app runs. The app info is provided in the right panel.

  2. You can select any of the following features to view the metric trends:

    • status

    • cluster id

    • cluster UID

  3. Click any dot on any of the Metric trend charts. This becomes the app target run. The details of the app target run appear in the App Run info panel on the right.

  4. In the App Run info panel, click the ID link. This is the ID link of the app target run. The Metric tab is shown with the app target run you have chosen in a different color. The details of the app target run are displayed in the App Target Run panel on the right. Click the View in Unravel link to view the app's details in Unravel.

  5. Select any dot (other than the dot for the app target run) on any of the Metric trend charts. This becomes the app baseline run. This is highlighted in a different color. The details of the app target run are displayed in the App Baseline Run panel on the right. Click the View in Unravel link to view the app's details in Unravel.

  6. In the App Baseline Run panel, click Compare.

    1. Select an app from the App Type options:

      • Hive on Tez

      • Spark

      • Impala

    2. From the Cluster, select a cluster.

    3. Specify the app runs that you want to compare.

      • Baseline App Run: Specify the ID of the baseline app.

      • Target App Run: Specify the ID of the target app with which you want to compare the baseline app.

    4. Click Compare. The following app details are given for the baseline and target app run:

      • App details

      • Cluster resource usage when these apps were running

      • App statistics comparison details

      • App config comparison details

      • Query string comparison details

      • Query plan comparison details

  7. In the App Baseline Run panel, click Refresh Insights. The insights are provided in the following sections.

    • Baseline comparison

      The results of the comparison are displayed.

    • Concurrent heavy hitter apps

      This section will show up only when the information is available.

      Select this option to view the top five applications in a specific category.

      1. Click the Concurrent heavy hitter apps option.

      2. Select any option from the Top-5 Applications option.


        The corresponding details are displayed.