Create table in Grafana that takes Integer value and splits it based on enumeration

  • What Grafana version and what operating system are you using?
    Grafana Cloud Pro

  • What are you trying to achieve?
    Create a table that takes an integer value and creates new columns based on enumeration.

  • How are you trying to achieve it?
    Using the built-in “Table”.

  • What happened?
    Reached limit using table.

  • What did you expect to happen?
    I like to be able to create custom columns using a enumeration.

  • Can you copy/paste the configuration(s) that you are having problems with?
    Please see attachment.

  • Did you receive any errors in the Grafana UI or in related logs? If so, please tell us exactly what they were.
    No.

  • Did you follow any online instructions? If so, what is the URL?
    No.

Hi there!

If you’d like to create custom columns using an enumeration in Grafana, you can achieve this by using a CASE statement in your query (for SQL data sources), or you can create calculated fields within Grafana using Transformations. Here’s how you can go about it:

1. Using SQL CASE Statement (for SQL Data Sources):

If you’re working with a SQL data source, you can use a CASE statement to create custom columns based on an enumeration. For example:

SELECT
value,
CASE
WHEN value = 1 THEN ‘First Option’
WHEN value = 2 THEN ‘Second Option’
WHEN value = 3 THEN ‘Third Option’
ELSE ‘Other’
END AS custom_column
FROM your_table;

In this example, the CASE statement is used to assign custom text values based on the enumeration (e.g., 1, 2, 3), and you can display this custom column as a new field in your Grafana dashboard.

2. Using Grafana Transformations (for Non-SQL Data Sources):

If you’re working with a non-SQL data source or need additional flexibility, Grafana’s Transformations feature allows you to create calculated fields directly in the dashboard.

  • You can use the Add field from calculation transformation to create new columns based on conditions.
  • For example, you can use “Binary to string” or “Replace values” transformations to map enumerations into human-readable values.

3. Using Grafana’s Query Variables:

If you need to map enumeration values to something dynamic (e.g., user-selected options), you can also use Grafana’s variables to substitute the enumeration values dynamically into your queries.

Conclusion:

If you’re using an SQL-based data source, the CASE statement is the simplest and most powerful method for creating custom columns based on an enumeration. For other data sources or more advanced transformations, Grafana’s Transformations feature should meet your needs.

Let me know if you need any further details or clarification!