Bruin CLI

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Microsoft SQL Server ​

Bruin supports Microsoft SQL Server as a data platform.

NOTE

We tend to use "MS SQL" interchangeably to refer to Microsoft SQL Server, apologies for any confusion.

Connection ​

In order to set up a SQL Server connection in Bruin, you need to add a configuration item to connections in the .bruin.yml file complying with the following schema.

yaml
    connections:
      mssql:
        - name: "connection_name"
          username: "mssql_user"
          password: "XXXXXXXXXX"
          host: "mssql_host.somedomain.com"
          port: 1433
          database: "dev"

SQL Server Assets ​

ms.sql ​

Runs a materialized SQL Server asset or an SQL script. For detailed parameters, you can check Definition Schema page.

Examples ​

Run an MS SQL script to generate sales report

bruin-sql
/* @bruin
name: sales_report
type: ms.sql
@bruin */

with monthly_sales as (
    select
        product_id,
    year(order_date) as order_year,
    month(order_date) as order_month,
    sum(quantity) as total_quantity,
    sum(price) as total_sales
from sales.orders
group by product_id, year(order_date), month(order_date)
    )
select
    product_id,
    order_year,
    order_month,
    total_quantity,
    total_sales
from monthly_sales
order by order_year, order_month;

ms.seed ​

ms.seed is a special type of asset used to represent CSV files that contain data that is prepared outside of your pipeline that will be loaded into your MSSQL database. Bruin supports seed assets natively, allowing you to simply drop a CSV file in your pipeline and ensuring the data is loaded to the MSSQL database.

You can define seed assets in a file ending with .yaml:

yaml
name: dashboard.hello
type: ms.seed

parameters:
    path: seed.csv

Parameters:

  • path: The path parameter is the path to the CSV file that will be loaded into the data platform. path is relative to the asset definition file.

Examples: Load csv into a MSSQL database ​

The examples below show how to load a CSV into an MSSQL database.

yaml
name: dashboard.hello
type: ms.seed

parameters:
    path: seed.csv

Example CSV:

csv
name,networking_through,position,contact_date
Y,LinkedIn,SDE,2024-01-01
B,LinkedIn,SDE 2,2024-01-01