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documenting-dbt-models

Documents dbt models and columns in schema.yml. Use when working with dbt documentation for: (1) Adding model descriptions or column definitions to schema.yml (2) Task mentions "document", "describe", "description", "dbt docs", or "schema.yml" (3) Explaining business context, grain, meaning of data, or business rules (4) Preparing dbt docs generate or improving model discoverability Matches existing project documentation style and conventions before writing.

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AltimateAI/data-engineering-skills
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2026년 1월 21일 20:16
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documenting-dbt-models
description
Documents dbt models and columns in schema.yml. Use when working with dbt documentation for: (1) Adding model descriptions or column definitions to schema.yml (2) Task mentions "document", "describe", "description", "dbt docs", or "schema.yml" (3) Explaining business context, grain, meaning of data, or business rules (4) Preparing dbt docs generate or improving model discoverability Matches existing project documentation style and conventions before writing.
# dbt Documentation **Document the WHY, not just the WHAT. Include grain, business rules, and caveats.** ## Workflow ### 1. Study Existing Documentation Patterns **CRITICAL: Match the project's documentation style before adding new docs.** ```bash # Find all schema.yml files with documentation find . -name "schema.yml" | head -5 # Read well-documented models to learn patterns cat models/marts/schema.yml | head -150 cat models/staging/schema.yml | head -150 ``` **Extract from existing documentation:** - Description length (brief vs detailed) - Formatting style (plain text vs markdown with headers) - Information included (grain? business rules? caveats?) - Column description depth (all columns vs key columns) - Use of meta tags or custom properties ### 2. Read Model SQL ```bash cat models/<path>/<model_name>.sql ``` Understand: transformations, business logic, joins, filters. ### 3. Check Existing Documentation for This Model ```bash # Find existing schema.yml find . -name "schema.yml" -exec grep -l "<model_name>" {} \; # Read existing docs cat models/<path>/schema.yml | grep -A 100 "<model_name>" ``` ### 4. Identify Documentation Needs For each model, document: - **Model description**: Purpose, grain, key business rules - **Column descriptions**: Business meaning, not just data type For each column, consider: - What business concept does this represent? - Are there any caveats or special values? - What is the source of this data? ### 5. Write Documentation **Match the style discovered in step 1. Example format (adapt to project):** ```yaml version: 2 models: - name: orders description: | Order transactions at the order line item grain. Each row represents one product in one order. **Business Rules:** - Revenue recognized on ship_date, not order_date - Cancelled orders excluded (status != 'cancelled') - Returns processed as negative line items **Grain:** One row per order_id + product_id combination columns: - name: order_id description: | Unique identifier for the order. Source: orders.id from Stripe webhook - name: customer_id description: | Foreign key to customers table. NULL for guest checkouts (pre-2023 only) - name: revenue description: | Net revenue for this line item in USD. Calculation: unit_price * quantity - discount_amount Excludes tax and shipping - name: order_status description: | Current status of the order. Values: pending, processing, shipped, delivered, cancelled, returned ``` ### 6. Generate Docs ```bash dbt docs generate dbt docs serve # Optional: preview locally ``` ## Documentation Patterns **Note: These are default templates. Always adapt to match project's existing style.** ### Model Description Template ```yaml description: | [One sentence: what this model contains] **Grain:** [What does one row represent?] **Business Rules:** - [Key rule 1] - [Key rule 2] **Caveats:** - [Important limitation or edge case] ``` ### Column Description Patterns | Column Type | Documentation Focus | |-------------|---------------------| | Primary key | Source system, uniqueness guarantee | | Foreign key | What it joins to, NULL handling | | Metric | Calculation formula, units, exclusions | | Date | Timezone, what event it represents | | Status/Category | All possible values, business meaning | | Boolean/Flag | What true/false means in business terms | ### Documenting Calculated Fields ```yaml - name: gross_margin description: | Gross margin percentage. Calculation: (revenue - cogs) / revenue * 100 NULL when revenue = 0 to avoid division by zero ``` ## Anti-Patterns - Adding documentation without checking existing project patterns - Using different formatting style than existing documentation - Describing WHAT (e.g., "The order ID") instead of WHY/context - Missing grain documentation - Not documenting NULL handling - Leaving columns undocumented - Copy-pasting column names as descriptions
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