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Reusing query data in different visualizations

There are times where you want to visualize the underlying data set in different ways without having to pay the cost of the query each time. This sample shows you how to do so using the Merge option in the query control.

Setup parameters

  1. Create an empty workbook.

  2. Click Add query to create a query control.

    1. Data source: Logs

    2. Resource type: Log Analytics

    3. Log Analytics workspace: Pick one of your workspaces that has performance data

    4. Log Analytics workspace Logs Query

      Perf
      | where CounterName == '% Processor Time'
      | summarize CpuAverage = avg(CounterValue), CpuP95 = percentile(CounterValue, 95) by Computer
      | order by CpuAverage desc
    5. Click the Run Query button to see the results. This is the result data set that we want to reuse in multiple visualizations.

      Image showing a result of a query

    6. Go to the Advanced settings tab:

      1. Step name: Cpu data - this gives a friendly name for referencing the data later.
  3. Click Add query to create another query control.

    1. Data source: Merge (Preview)

    2. Click the Add Merge button.

    3. In the settings pop-up, set:

      1. Merge Type: Duplicate table
      2. Table: Cpu data
    4. Click the Run Merge button in the toolbar. This shows the same result as above:

      Image showing a result of a duplicate table

  4. There are some table options for you here:

    1. Use the Name After Merge column to set friendly names for your result columns.

      1. For instance you can rename CpuAverage to CPU utilization (avg).
      2. Use the Run Merge button to update the result set.
    2. Use the Delete button to remove a column.

      1. Select the `[Cpu data].CpuP95 row
      2. Use the Delete button in the query control toolbar.
      3. Use the Run Merge button to see the result set without the CpuP95 column
    3. Change the order of the columns using the Move up or Move down buttons in the toolbar.

    4. Add new columns based on values of other columns using the Add new item button in the toolbar. This option will be covered in a separate sample.

  5. Style the table using the options in the Column settings to get the visualization you want.

  6. Add more query controls working against the Cpu data result set if needed. Here is an example that shows Average and P95 CPU utilization side by side.

    Image showing a result of a duplicate table