Templating

Bruin supports Jinja as its templating language for SQL assets. This allows you to write dynamic SQL queries that can be parameterized with variables. This is useful when you want to write a query that is parameterized by a date, a user ID, or any other variable.

The following is an example SQL asset that uses Jinja templating for different start_date and end_date parameters:

SELECT * FROM my_table WHERE dt BETWEEN '{{ start_date }}' AND '{{ end_date }}'

Since start_date and end_date parameters are automatically passed to your assets by Bruin, this allows the same SQL asset definition to be used both as your regular execution, e.g. daily or hourly, as well as backfilling a longer period of time.

You can do more complex stuff such as looping over a list of values, or using conditional logic. Here's an example of a SQL asset that loops over a list of user IDs:

{% set days = [1, 3, 7, 15, 30, 90] %}

SELECT
    conversion_date,
    cohort_id,
    {% for day_n in days %}
    SUM(IFF(days_since_install < {{ day_n }}, revenue, 0)) AS revenue_{{ day_n }}_days
    {% if not loop.last %},{% endif %}
    {% endfor %}
FROM user_cohorts
GROUP BY 1,2

This will render into the following SQL query:

SELECT
    conversion_date,
    cohort_id,
    SUM(IFF(days_since_install < 1, revenue, 0)) AS revenue_1_days,
    SUM(IFF(days_since_install < 3, revenue, 0)) AS revenue_3_days,
    SUM(IFF(days_since_install < 7, revenue, 0)) AS revenue_7_days,
    SUM(IFF(days_since_install < 15, revenue, 0)) AS revenue_15_days,
    SUM(IFF(days_since_install < 30, revenue, 0)) AS revenue_30_days,
    SUM(IFF(days_since_install < 90, revenue, 0)) AS revenue_90_days
FROM user_cohorts
GROUP BY 1,2

You can read more about Jinja here.

Available variables

Bruin injects various variables by default:

Variable	Description	Example
start_date	The start date in YYYY-MM-DD format	"2023-12-01"
start_datetime	The start date and time in YYYY-MM-DDThh:mm:ss format	"2023-12-01T15:30:00"
start_timestamp	The start timestamp in RFC3339 format	"2023-12-01T15:30:00.000000Z07:00"
end_date	The end date in YYYY-MM-DD format	"2023-12-02"
end_datetime	The end date and time in YYYY-MM-DDThh:mm:ss format	"2023-12-02T15:30:00"
end_timestamp	The end timestamp in RFC3339 format	"2023-12-02T15:30:00.000000Z07:00"
pipeline	The name of the currently executing pipeline	my_pipeline
run_id	The unique identifier for the current pipeline run	run_1234567890

You can use these variables in your SQL queries by referencing them with the syntax:

SELECT * FROM my_table 
WHERE dt BETWEEN '{{ start_date }}' AND '{{ end_date }}'

NOTE

Date-related variables are passed in as strings, and they will be driven by the flags given to the bruin run command, read more on that here.

You can modify these variables with the use of filters.