Create a Metric using Custom SQL
This guide provides a step-by-step approach to utilizing custom SQL for creating metrics, which can enhance your data analysis capabilities.
Access Custom SQL
On the Create Metric page, select the "Custom Query" option.

Query Execution
Enter your custom SQL in the
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Query Editor.Click "Format Query with AI" to convert your query into DataBrainโs recommended format.
After reviewing, click "Run Query" to execute it.

Preview the Results
Check the Query Result section to see your raw SQL output in a table.
You can download this data as a CSV file if needed.

Save your Query Result
Once youโre satisfied with the output, click on "Use Results >" option. You can save the result in different ways:
Table Chart
Table Chart with Dynamic Table property - It automatically adjusts to match the latest structure of your SQL query results. It works best when your query uses
SELECT *
โ so any new or changing columns are always included in the table without needing manual updates. This makes it ideal for exploring flexible or evolving datasets.New Chart
Custom Dataset

Use as Table Chart
To save as a Table Chart, click "Use as Table Chart".
Configure any additional settings and save it to your dashboard.

Publish as Custom Dataset
Provide a name and choose the schema for your custom dataset.
Click "Save" to publish it.

New Chart
Select the chart type that best represents your data.
Configure it and save it to your dashboard.

Edit Custom query
You can switch between the Chart Builder and the Query Editor at any time.
Modify your query and see the updated results instantly in both the Query Result and Chart Builder.

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