Update dim__orgs.sql

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[datafold]

✨ AI Overview

This AI-generated summary of your pull request analyzes your code changes and their potential impact on your data. As this feature is still experimental, please review the details carefully.

• High-impact changes to user counts: The modification to add mod(org_id, 2) to user counts affects 380 rows (48% of the table) and could significantly impact financial reporting in both Looker and Tableau dashboards. Consider whether this artificial inflation of user counts is intended.

• Subscription plan and pricing changes: New logic automatically assigns 'Individual' plan to orgs with 1 or fewer users and sets missing prices to 0, affecting 227 plan entries and 290 pricing values. This has direct implications for financial analysis in downstream assets like the Monthly and Yearly Financials dashboards.

• Organization ID modifications: The new case statement mod(org_id, 49) = 0 could subtract 50,000,000 from certain org_ids. This risks breaking referential integrity with other tables that reference org_id and could impact joins in downstream tables like fct__yearly__financials and sales__sync.

🕵️ Details

View CI Run Details →

Base branch	Pull Request branch
master-bigquery (3f06d55)	bigquery-patch-1 (9087b13)

Tables modified: 1 (details)

• Different: 1

datafold-demo-429713.prod.dim__orgs
Primary keys org_id
	master-bigquery	bigquery-patch-1
DIFFERENCES
Exclusive PKs	12	12
3 column(s) with differing values column number of rows num_users 380  49.0% sub_price 290  37.4% sub_plan 227  29.3%
View details →
6 potential data app dependencies
Unchanged Attributes Total rows 788 Total columns 6 Schema changes 0 Common unique PKs 776 Rows with NULL PKs 0 Rows with duplicate PKs 0

Skipped Data Diffs of downstream tables: 3

Add "datafold:diff-all-downstream" label to this pull request to diff all affected tables

datafold-demo-429713.prod.fct__monthly__financials (table)	Run Data Diff →
datafold-demo-429713.prod.sales__sync (table)	Run Data Diff →
datafold-demo-429713.prod.fct__yearly__financials (table)	Run Data Diff →