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testing-dbt-models

Adds schema tests and data quality validation to dbt models. Use when working with dbt tests for: (1) Adding or modifying tests in schema.yml files (2) Task mentions "test", "validate", "data quality", "unique", "not_null", or "accepted_values" (3) Ensuring data integrity - primary keys, foreign keys, relationships (4) Debugging test failures or understanding why dbt test failed Matches existing project test patterns and YAML style before adding new tests.

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Dépôt
AltimateAI/data-engineering-skills
Dernière activité de la source
21 janvier 2026 à 20:16
Langue détectée de SKILL.md
anglais
Étoiles
133
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12

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SKILL.md
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name
testing-dbt-models
description
Adds schema tests and data quality validation to dbt models. Use when working with dbt tests for: (1) Adding or modifying tests in schema.yml files (2) Task mentions "test", "validate", "data quality", "unique", "not_null", or "accepted_values" (3) Ensuring data integrity - primary keys, foreign keys, relationships (4) Debugging test failures or understanding why dbt test failed Matches existing project test patterns and YAML style before adding new tests.
# dbt Testing **Every model deserves at least one test. Primary keys need unique + not_null.** ## Workflow ### 1. Study Existing Test Patterns **CRITICAL: Match the project's existing testing style before adding new tests.** ```bash # Find all schema.yml files with tests find . -name "schema.yml" -exec grep -l "tests:" {} \; # Read existing tests to learn patterns cat models/staging/schema.yml | head -100 cat models/marts/schema.yml | head -100 # Check for custom tests or dbt packages ls tests/ cat packages.yml 2>/dev/null ``` **Extract from existing tests:** - YAML formatting style (indentation, spacing) - Test coverage depth (all columns vs key columns only) - Use of custom tests (dbt_utils, dbt_expectations, custom macros) - Description style (brief vs detailed) - Severity levels used (warn vs error) ### 2. Read Model SQL ```bash cat models/<path>/<model_name>.sql ``` Identify: primary keys, foreign keys, categorical columns, date columns, business-critical fields. ### 3. Check Existing Tests for This Model ```bash cat models/<path>/schema.yml | grep -A 50 "<model_name>" # or find . -name "schema.yml" -exec grep -l "<model_name>" {} \; ``` ### 4. Identify Testable Columns | Column Type | Recommended Tests | |-------------|-------------------| | Primary key | `unique`, `not_null` | | Foreign key | `not_null`, `relationships` | | Categorical | `accepted_values` (ask user for valid values) | | Required field | `not_null` | | Date/timestamp | `not_null` | | Boolean | `accepted_values: [true, false]` | ### 5. Write Tests in schema.yml **Match the existing style from step 1. Example format (adapt to project):** ```yaml version: 2 models: - name: model_name description: "Brief description of what this model contains" columns: - name: primary_key_column description: "Unique identifier for this record" tests: - unique - not_null - name: foreign_key_column description: "Reference to related_model" tests: - not_null - relationships: to: ref('related_model') field: related_key_column - name: status description: "Current status of the record" tests: - not_null - accepted_values: values: ['pending', 'active', 'completed', 'cancelled'] - name: created_at description: "Timestamp when record was created" tests: - not_null ``` ### 6. Run Tests ```bash # Test specific model dbt test --select <model_name> # Test with upstream dbt test --select +<model_name> ``` ### 7. Fix Failing Tests Common failures and fixes: | Failure | Likely Cause | Fix | |---------|--------------|-----| | `unique` fails | Duplicate records | Add deduplication in model | | `not_null` fails | NULL values in source | Add COALESCE or filter | | `relationships` fails | Orphan records | Add WHERE clause or fix upstream | | `accepted_values` fails | New/unexpected values | Update accepted values list | ## Test Types Reference ### Generic Tests (built-in) ```yaml tests: - unique - not_null - accepted_values: values: ['a', 'b', 'c'] - relationships: to: ref('other_model') field: id ``` ### Custom Generic Tests ```yaml tests: - dbt_utils.expression_is_true: expression: "amount >= 0" - dbt_utils.recency: datepart: day field: created_at interval: 1 ``` ### Singular Tests Create `tests/<test_name>.sql`: ```sql -- tests/assert_positive_revenue.sql select * from {{ ref('orders') }} where revenue < 0 ``` ## Anti-Patterns - Adding tests without checking existing project patterns first - Using different YAML formatting style than existing tests - Models without any tests - Primary keys without both unique AND not_null - Testing only obvious columns, ignoring business-critical ones - Hardcoding accepted_values without confirming with stakeholders - Adding dbt_utils tests when project doesn't use that package
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