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  • Overview
  • Writing Custom SQL Code
  • Pushing Code to Github

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  1. Transform
  2. Code Repository

Custom SQL Code

This page outlines how to add custom SQL code to your code repository so you can build your own data models and business logic

PreviousCode Repository BranchesNextCustom Script Manifest Files

Last updated 1 year ago

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Overview

Adding your own custom SQL code will enable to you enhance your analytics stack by adding your own business logic to create the data models, dimensions and metrics you need for reporting, monitoring and analysis.

The Daasity platform will read your SQL code from the remote repository in Github and execute each statement that exists in the SQL file

You can write the SQL code directly in Github or write the code locally in a text editor and then push the code to your branch

Before you start writing your custom SQL code you should have completed the following steps:

Writing Custom SQL Code

With a development branch created simply open your text editor to add your custom SQL. You can use the SQL below [test_demo.sql] to test out the custom SQL code functionality.

-- DEMO CODE

-- make sure the schema doesn't exist
DROP SCHEMA IF EXISTS daasity_demo;

-- create the schema
CREATE SCHEMA daasity_demo;

-- create a table
CREATE TABLE daasity_demo.demo
(
    id      VARCHAR
  , value   INTEGER
)
;


-- insert values
INSERT INTO daasity_demo.demo
VALUES
(1001,1),
(1002,2),
(1003,3)
;


-- select count and sum
SELECT COUNT(value), SUM(value)
FROM daasity_demo.demo
;

Save the file as a .sql file in the local repository

You then need to push the code to Github to make the code available to the Daasity App to execute

Pushing Code to Github

First you will need to commit the changes you have made by giving the change a name and description (optional)

Then you will need to push the changes to the remote repository

From here you have several options:

  1. Create or modify a script manifest file to run your SQL code

  2. Create a pull request to merge your changes into the master branch so the SQL code is available in production

🔀
Gotten access to your Code Repository
Learned how to manage branches in Github