Query pro mode query-pro-mode

Query pro mode is an SQL editor-based workflow that guides you through the process of generating insights with custom SQL queries in the Adobe Experience Platform UI. Before you can generate insights with custom SQL queries, you must first create a dashboard.

Compose SQL compose-sql

Once you have chosen to create a dashboard with query pro mode, the Enter SQL dialog appears. Select a database (insights data model) to query from the dropdown menu, and input a suitable query for your dataset in the query pro editor.

NOTE
Query pro mode is only available to users who have purchased the Data Distiller SKU. The Guided design mode is available to all users to create insights from an existing data model.

See the Query Editor user guide for information on its UI elements.

The Enter SQL dialog with the dataset dropdown menu and run icon highlighted, The dialog has a populated SQL query and the query parameters tab displayed.

Query parameters query-parameters

To include global or date filters your query must use query parameters. When composing your statement in query pro mode, you must provide sample values if your query uses query parameters. The sample values allow you to execute the SQL statement and build the chart. Note that the sample values you provide when composing your statement are replaced by the actual values you select for the date or global filter at runtime.

IMPORTANT
If you want to use a global filter, you must place a query parameter in your SQL and then link that query parameter to the global filter in the widget composer. In the screenshot below, CONSENT_VALUE_FILTER is used in the SQL as a query parameter for a global filter. See the global filter documentation for more information on how to do this.

To execute your query, select the run icon ( The run icon. ). The Query Editor displays the results tab. Next, to confirm your configuration and open the widget composer, select Select.

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If your query uses query parameters, run the query once to pre-populate all the query parameter keys used. The query will fail but the UI automatically displays the Query parameters tab and lists all included keys. Add the appropriate values for your keys.

The Enter SQL dialog with SQL input, the results tab displayed, and Select highlighted.

Populate widget populate-widget

The widget composer is now populated with the columns from the executed SQL. The type of dashboard is indicated in the top left, in this case it is Manual SQL Entry. Select the pencil icon ( A pencil icon. ) to edit the SQL at any point.

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The available attributes are columns taken from the executed SQL.

To create your widget, use the attributes listed in the Attributes column. You can use the search bar to look for attributes or scroll the list.

The widget composer with the creation method and attribute column highlighted.

Add attributes add-attributes

To add an attribute to your widget, select the plus icon ( A plus icon. ) next to an attribute name. The dropdown menu that appears allows you to add an attribute to the chart from the options determined by your SQL. Different chart types have different options, such as an X and Y axis dropdown.

In this donut chart example, the options are size and color. Color breaks down the donut chart results, and the size is the actual metric used. Add an attribute to the Color field to split the results into different colors based on their composition of that attribute.

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Select the up and down arrow icon ( The up and down arrow icon. ) to switch the arrangement of the X and Y axis on bar or line charts.

The widget composer with the add-icon dropdown and switch arrows highlighted.

To change the type of graph or chart of your widget, select from the available options of the Marks dropdown. The options include Line, Donut, Big number, and Bar. Once selected, a preview visualization of your widget’s current settings is generated.

The widget composer with the widget preview highlighted.

Widget properties properties

Select the properties icon ( The properties icon. ) in the right rail to open the properties panel. In the Properties panel, enter a name for the widget in the Widget title text field. You can also rename various aspects of your chart.

NOTE
The specific fields available in the properties sidebar vary depending on the chart type you are editing.

The widget composer with the properties icon and Widget title field highlighted.

Save your widget save-widget

Saving in the widget composer saves the widget locally to your dashboard. If you wish to save your work and resume later, select Save. A tick icon underneath the widget name indicates that the widget has been saved. Alternatively, when you are satisfied with your widget, select Save and close to make the widget available to all other users with access to your dashboard. Select Cancel to abandon your work and return to your custom dashboard.

The widget composer with Save, Widget saved, and Save and close highlighted.

Edit your dashboard and charts edit

Select Edit to edit your entire dashboard or any of your insights. From the edit mode, you can resize widgets, edit your SQL, or create and apply global and temporal filters. These filters constrain the data displayed in your dashboard widgets. It is a convenient way to quickly update and fine-tune your insights for different use cases.

A custom dashboard with Edit highlighted.

Select Add filter to create either a Date filter or a Global filter. Once created, all global and date filters are available from the filter icon ( A filter icon. ) of your dashboard.

A custom dashboard with the Add filter dropdown menu highlighted.

Edit, duplicate, or delete an insight

See the Custom Dashboard guide for instructions on how to edit, duplicate, or delete an existing widget.

Next steps

After reading this document, you now know how write SQL queries in the Adobe Experience Platform UI to generate charts for your custom dashboards. Next, you should learn how to further enrich yourt data by creating a date filter, or creating a global filter.

You can also learn more about other Customized Insights features including the different viewing options for you SQL analysed data or how to view the SQL behind your custom insights.

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