This page details the expect_table_columns_to_match_ordered_list
test from the dbt-expectations package. This test ensures that the columns in a table or view exactly match a specified list in a given order. It is instrumental in maintaining consistency in data structure across different environments or versions of a dataset.
How it Works
The expect_table_columns_to_match_ordered_list
test verifies that the structure of a database table, view, or model aligns precisely with an expected list of column names in the defined order. This is critical for ensuring that data transformations and migrations adhere to specified schemas and that the data integrity is maintained through various stages of data processing.
Steps and Conditions:
- Column List Definition: Define the exact order and names of columns expected in the table using the
column_list
property. - Optional Transformation: Apply any optional transformations to the column names, like converting them to uppercase with the
transform: upper
configuration, to ensure the comparison aligns with external requirements or naming conventions. - Verification: The test compares the current column structure of the table, model, or view against the expected list, considering any transformations specified.
- Outcome:
- Pass: If the columns in the table match exactly with the ordered list provided in the test configuration, the test passes.
- Fail: If there is a discrepancy in either the number of columns, their naming, or their order, the test fails.
Example Usage: Fintech
For a Fintech company, accurately tracking and managing financial transactions in a table called daily_transactions
is crucial. Ensuring the columns are consistent across database updates or model deployments is essential for maintaining accurate reporting and compliance with regulatory standards.
Here’s an example configuration for a daily_transactions
table in a Fintech environment:
In this setup, the expect_table_columns_to_match_ordered_list
test checks that the daily_transactions
table includes exactly these columns: transaction_id
, user_id
, amount
, transaction_date
, status
, and in this specific order, with all column names in lowercase. This ensures that every aspect of the transaction data is consistently captured and processed in accordance with the expected financial data governance standards.