Change the amount type from DOUBLE to DECIMAL

[even-wei]

Overview:
This PR changes the amount type from DOUBLE to DECIMAL(10,2). Because for currency column, it make more sense to use the DECIMAL type instead of DOUBLE type.

Changes:

• CAST the type to DECIMAL

Rationale:
To better understand and mitigate any potential distortions caused by data rounding.

UPDATED (2025/03/07):
Please see the comment below

[github-actions]

Recce Summary

Manifest Information

	Manifest	Catalog
Base	2025-03-16 00:19:23	2025-03-16 00:19:24
Current	2025-03-18 03:57:36	2025-03-18 03:57:36

Lineage Graph

graph LR
model.jaffle_shop.stg_payments["stg_payments

[What's Changed]
Code, Schema"]
style model.jaffle_shop.stg_payments stroke:#ffa502
model.jaffle_shop.stg_payments---->model.jaffle_shop.orders
model.jaffle_shop.stg_payments---->model.jaffle_shop.customers
model.jaffle_shop.orders["orders

[What's Changed]
Schema"]
model.jaffle_shop.customers["customers

[What's Changed]
Schema"]
model.jaffle_shop.customers---->model.jaffle_shop.customer_order_pattern
model.jaffle_shop.customers---->model.jaffle_shop.customer_segments
model.jaffle_shop.customer_order_pattern["customer_order_pattern"]
model.jaffle_shop.customer_segments["customer_segments"]

Loading

Checks Summary

Checks Run	Data Mismatch Detected
4	1

Checks of Data Mismatch Detected

Name	Type	Mismatched Nodes
Model schema of customers, orders and modified nodes	Schema Diff	stg_payments, customers, orders

See PR page: https://cloud.datarecce.io/DataRecce/jaffle_shop_duckdb/pulls/3

How to check the recce result

# Launch the recce server based on the state file
recce server --review --cloud --password yummy_jaffle

# Open the recce server http://localhost:8000 by your browser

[popcornylu]

We found that the round effect may not be used in the jaffle shop analysis. We use to the type change instead.

Here is the old one

Overview:
This PR introduces a new Rounding Effect Analysis feature, aimed at analyzing and reporting the impacts of rounding in our data processing.

Changes:

• Implemented a new analysis module for rounding effects.
• Integrated this module with existing data processing pipelines.
• Added relevant documentation and examples for usage.

Rationale:
To better understand and mitigate any potential distortions caused by data rounding.